scripts/run_rbf_comparison_car_air_top5.py # -*- coding: utf-8 -*- \\\"\\\"\\\" Created on Tue Mar 19 16:26:35\",\n \"batch_size = 20 initial_learning_rate = 0.001 keep_probs = None decay_epochs = [1000, 10000]\",\n \"base from sklearn.metrics.pairwise import rbf_kernel from influence.inceptionModel import BinaryInceptionModel from influence.smooth_hinge import SmoothHinge\",\n \"# inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( # [test_idx], # np.arange(len(inception_model.data_sets.train.labels)), # force_refresh=True) # # x_test\",\n \"range(1, 600): rbf_predicted_loss_diffs = rbf_model.get_influence_on_test_loss( [test_idx], np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True) inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( [test_idx], np.arange(len(inception_model.data_sets.train.labels)),\",\n \"2 num_train_ex_per_class = 40 num_test_ex_per_class = 300 dataset_name = 'carair_%s_%s' % (num_train_ex_per_class, num_test_ex_per_class)\",\n \"keep_probs = None decay_epochs = [1000, 10000] #%% ### Generate kernelized feature vectors\",\n \"x_test = X_test[test_idx, :] # y_test = Y_test[test_idx] # # # distances =\",\n \"pd import sklearn.linear_model as linear_model import sklearn.preprocessing as preprocessing import scipy import scipy.linalg\",\n \"from each network test_idx = 0 ## RBF input_channels = 1 weight_decay =\",\n \"rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) # inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) # # # np.savez( # 'output7/rbf_carair_results_%s' %\",\n \"__future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals import math\",\n \"generate_inception_features( full_model, image_data_sets.train.x, image_data_sets.train.labels, batch_size=batch_size) test_inception_features_val = generate_inception_features( full_model, image_data_sets.test.x, image_data_sets.test.labels, batch_size=batch_size) train\",\n \"model.sess.run(model.preds, feed_dict=model.all_test_feed_dict) Y_pred_correct = np.zeros([len(Y_test)]) for idx, label in enumerate(Y_test): Y_pred_correct[idx] = Y_pred[idx,\",\n \"temp=0.001, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log',\",\n \"= 0 # Generate inception features print('Generate inception features...') img_side = 299 num_channels\",\n \"test = DataSet(test_f['inception_features_val'], test_f['labels']) # validation = None # data_sets = base.Datasets(train=train, validation=validation,\",\n \"np.load('G:/output/%s_inception_features_new_test.npz' % dataset_name) # test = DataSet(test_f['inception_features_val'], test_f['labels']) validation = None # 上面的代码是训练了inception模型的全连接层前面的部分，因此输出的feature有2048个维度\",\n \"initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then\",\n \"None # data_sets = base.Datasets(train=train, validation=validation, test=test) # 下面的代码利用从inception卷积层训练完成后的feature进行一个二分类逻辑回归，取消卷积层后面的FC全连接层 print('Train logistic regression after\",\n \"## RBF input_channels = 1 weight_decay = 0.001 batch_size = num_train initial_learning_rate =\",\n \"'carair_%s_%s' % (num_train_ex_per_class, num_test_ex_per_class) image_data_sets = load_vehicles( num_train_ex_per_class=num_train_ex_per_class, num_test_ex_per_class=num_test_ex_per_class) weight_decay = 0.001 initial_learning_rate\",\n \"network test_idx = 0 ## RBF input_channels = 1 weight_decay = 0.001 batch_size\",\n \"import scipy.sparse.linalg as sparselin import scipy.sparse as sparse import random import sys sys.path.append(\\\"C:/Tang/influence-release-master\\\")\",\n \"weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W\",\n \"= 20 #TODO: 需要根据配置修改 # reset_default_graph大概就是重置当前线程，让tf session里定义的东西都失效，重来。就是重开一个神经网络session tf.reset_default_graph() full_model_name = '%s_inception' % dataset_name\",\n \"batch_size = num_train initial_learning_rate = 0.001 keep_probs = None max_lbfgs_iter = 1000 use_bias\",\n \"# 下面的代码利用从inception卷积层训练完成后的feature进行一个二分类逻辑回归，取消卷积层后面的FC全连接层 print('Train logistic regression after inception...') input_dim = 2048 weight_decay = 0.001\",\n \"on Tue Mar 19 16:26:35 2019 @author: Administrator \\\"\\\"\\\" # Forked from run_rbf_comparison.py\",\n \"= 20 initial_learning_rate = 0.001 keep_probs = None decay_epochs = [1000, 10000] max_lbfgs_iter\",\n \"initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='car_air_rbf_hinge_t-0.001') params_feed_dict = {} params_feed_dict[rbf_model.W_placeholder] = hinge_W\",\n \"import math import copy import numpy as np import pandas as pd import\",\n \"Y_pred_correct[idx] = Y_pred[idx, int(label)] return Y_pred_correct num_classes = 2 num_train_ex_per_class = 40 num_test_ex_per_class\",\n \"sys sys.path.append(\\\"C:/Tang/influence-release-master\\\") #设置自定义包的搜索路径 from load_vehicles import load_vehicles import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets\",\n \"sys.path.append(\\\"C:/Tang/influence-release-master\\\") #设置自定义包的搜索路径 from load_vehicles import load_vehicles import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets import\",\n \"= base.Datasets(train=train, validation=None, test=test) input_dim = data_sets.train.x.shape[1] # Train with hinge print('Train rbf\",\n \"= 1000 num_classes = 2 tf.reset_default_graph() inception_model = BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay, max_lbfgs_iter=max_lbfgs_iter, num_classes=num_classes,\",\n \"K[:num_train, :num_train] K_test = K[num_train:, :num_train] ### Compare top 5 influential examples from\",\n \"decay_epochs = [1000, 10000] tf.reset_default_graph() X_train = image_data_sets.train.x Y_train = image_data_sets.train.labels * 2\",\n \"# train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train = DataSet(train_f['inception_features_val'], train_f['labels']) # test_f\",\n \"y_test rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) np.savez(\",\n \"0.0001 K = rbf_kernel(X_stacked, gamma = gamma / num_train) # ============================================================================= # L\",\n \"decay_epochs=decay_epochs, mini_batch=False, train_dir='output9', log_dir='log', model_name='%s_inception_onlytop' % dataset_name) inception_model.train() # ============================================================================= # inception_predicted_loss_diffs =\",\n \"= rbf_model.get_influence_on_test_loss( [test_idx], np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True) inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( [test_idx], np.arange(len(inception_model.data_sets.train.labels)), force_refresh=True) x_test =\",\n \"batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='car_air_rbf_hinge_t-0.001') params_feed_dict = {} params_feed_dict[rbf_model.W_placeholder]\",\n \"= rbf_model.sess.run(rbf_model.params)[0] # Then load weights into smoothed version print('Load weights into smoothed\",\n \"import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets import base from sklearn.metrics.pairwise import rbf_kernel from\",\n \"[1000, 10000] tf.reset_default_graph() X_train = image_data_sets.train.x Y_train = image_data_sets.train.labels * 2 - 1\",\n \"= 2 tf.reset_default_graph() inception_model = BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay, max_lbfgs_iter=max_lbfgs_iter, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate,\",\n \"data_sets = base.Datasets(train=train, validation=validation, test=test) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train\",\n \"absolute_import from __future__ import unicode_literals import math import copy import numpy as np\",\n \"log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load weights into smoothed version\",\n \"300 dataset_name = 'carair_%s_%s' % (num_train_ex_per_class, num_test_ex_per_class) image_data_sets = load_vehicles( num_train_ex_per_class=num_train_ex_per_class, num_test_ex_per_class=num_test_ex_per_class) weight_decay\",\n \"Y_train = np.copy(image_data_sets.train.labels) * 2 - 1 Y_test = np.copy(image_data_sets.test.labels) * 2 -\",\n \"= load_vehicles( num_train_ex_per_class=num_train_ex_per_class, num_test_ex_per_class=num_test_ex_per_class) weight_decay = 0.001 initial_learning_rate = 0.001 keep_probs = None\",\n \"10000] max_lbfgs_iter = 1000 num_classes = 2 tf.reset_default_graph() inception_model = BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay,\",\n \"log_dir='log', model_name='%s_inception_onlytop' % dataset_name) inception_model.train() # ============================================================================= # inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( # [test_idx],\",\n \"dataset_name) # train = DataSet(train_f['inception_features_val'], train_f['labels']) # test_f = np.load('G:/output/%s_inception_features_new_test.npz' % dataset_name) #\",\n \"test = DataSet( test_inception_features_val, image_data_sets.test.labels) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train\",\n \"import BinaryInceptionModel from influence.smooth_hinge import SmoothHinge from influence.binaryLogisticRegressionWithLBFGS import BinaryLogisticRegressionWithLBFGS import influence.dataset as\",\n \"rbf_kernel(X_stacked, gamma = gamma / num_train) # ============================================================================= # L = slin.cholesky(K, lower=True)\",\n \"test = DataSet(test_f['inception_features_val'], test_f['labels']) validation = None # 上面的代码是训练了inception模型的全连接层前面的部分，因此输出的feature有2048个维度 data_sets = base.Datasets(train=train, validation=validation,\",\n \"Compare top 5 influential examples from each network test_idx = 0 ## RBF\",\n \"load_vehicles import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets import base from sklearn.metrics.pairwise import rbf_kernel\",\n \"influence.dataset as dataset from influence.dataset import DataSet from influence.dataset_poisoning import generate_inception_features #%% def\",\n \"return Y_pred_correct num_classes = 2 num_train_ex_per_class = 40 num_test_ex_per_class = 300 dataset_name =\",\n \"# Forked from run_rbf_comparison.py from __future__ import division from __future__ import print_function from\",\n \"in range(1, 600): rbf_predicted_loss_diffs = rbf_model.get_influence_on_test_loss( [test_idx], np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True) inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( [test_idx],\",\n \"# 下面的代码是在使用inception的卷积层生成特征 train_inception_features_val = generate_inception_features( full_model, image_data_sets.train.x, image_data_sets.train.labels, batch_size=batch_size) test_inception_features_val = generate_inception_features( full_model,\",\n \"Inception dataset_name = 'carair_40_300' test_idx = 0 # Generate inception features print('Generate inception\",\n \"# rbf_predicted_loss_diffs=rbf_predicted_loss_diffs, # inception_predicted_loss_diffs=inception_predicted_loss_diffs # ) # ============================================================================= #%% print('Save results...') #rand_test =\",\n \"train_dir='output9', log_dir='log', model_name='%s_inception_onlytop' % dataset_name) inception_model.train() # ============================================================================= # inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( #\",\n \"rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) np.savez( 'output9/rbf_carair_results_%s' % test_idx, test_idx=test_idx, distances=distances, flipped_idx=flipped_idx, rbf_margins_test=rbf_margins_test,\",\n \"np.min(Y_test) < -0.5: Y_test = (np.copy(Y_test) + 1) / 2 Y_pred = model.sess.run(model.preds,\",\n \"from tensorflow.contrib.learn.python.learn.datasets import base from sklearn.metrics.pairwise import rbf_kernel from influence.inceptionModel import BinaryInceptionModel from\",\n \"= X_train.shape[0] num_test = X_test.shape[0] X_stacked = np.vstack((X_train, X_test)) gamma = 0.05 weight_decay\",\n \"dataset.find_distances(x_test, X_train) flipped_idx = Y_train != y_test rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) rbf_margins_train =\",\n \"DataSet( train_inception_features_val, image_data_sets.train.labels) test = DataSet( test_inception_features_val, image_data_sets.test.labels) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' %\",\n \"from influence.binaryLogisticRegressionWithLBFGS import BinaryLogisticRegressionWithLBFGS import influence.dataset as dataset from influence.dataset import DataSet from\",\n \"force_refresh=True) # # x_test = X_test[test_idx, :] # y_test = Y_test[test_idx] # #\",\n \"__future__ import absolute_import from __future__ import unicode_literals import math import copy import numpy\",\n \"RBF input_channels = 1 weight_decay = 0.001 batch_size = num_train initial_learning_rate = 0.001\",\n \"inception_model.get_influence_on_test_loss( # [test_idx], # np.arange(len(inception_model.data_sets.train.labels)), # force_refresh=True) # # x_test = X_test[test_idx, :]\",\n \"keep_probs = None max_lbfgs_iter = 1000 use_bias = False decay_epochs = [1000, 10000]\",\n \"# [test_idx], # np.arange(len(inception_model.data_sets.train.labels)), # force_refresh=True) # # x_test = X_test[test_idx, :] #\",\n \"BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay, max_lbfgs_iter=max_lbfgs_iter, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output9', log_dir='log',\",\n \"= slin.cholesky(K, lower=True) # L_train = L[:num_train, :num_train] # L_test = L[num_train:, :num_train]\",\n \"full_model = BinaryInceptionModel( img_side=img_side, num_channels=num_channels, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=image_data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=True,\",\n \"print('Load weights into smoothed version...') tf.reset_default_graph() rbf_model = SmoothHinge( temp=0.001, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay,\",\n \"y_test = Y_test[test_idx] # # # distances = dataset.find_distances(x_test, X_train) # flipped_idx =\",\n \"import scipy.linalg as slin import scipy.sparse.linalg as sparselin import scipy.sparse as sparse import\",\n \"test_idx, # test_idx=test_idx, # distances=distances, # flipped_idx=flipped_idx, # rbf_margins_test=rbf_margins_test, # rbf_margins_train=rbf_margins_train, # inception_Y_pred_correct=inception_Y_pred_correct,\",\n \"= 40 num_test_ex_per_class = 300 dataset_name = 'carair_%s_%s' % (num_train_ex_per_class, num_test_ex_per_class) image_data_sets =\",\n \"test_inception_features_val, image_data_sets.test.labels) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train = DataSet(train_f['inception_features_val'], train_f['labels'])\",\n \"base.Datasets(train=train, validation=validation, test=test) # 下面的代码利用从inception卷积层训练完成后的feature进行一个二分类逻辑回归，取消卷积层后面的FC全连接层 print('Train logistic regression after inception...') input_dim = 2048\",\n \"from __future__ import absolute_import from __future__ import unicode_literals import math import copy import\",\n \"kernelized feature vectors X_train = image_data_sets.train.x X_test = image_data_sets.test.x Y_train = np.copy(image_data_sets.train.labels) *\",\n \"examples from each network test_idx = 0 ## RBF input_channels = 1 weight_decay\",\n \"Y_pred = model.sess.run(model.preds, feed_dict=model.all_test_feed_dict) Y_pred_correct = np.zeros([len(Y_test)]) for idx, label in enumerate(Y_test): Y_pred_correct[idx]\",\n \"np.copy(image_data_sets.train.labels) * 2 - 1 Y_test = np.copy(image_data_sets.test.labels) * 2 - 1 num_train\",\n \"10000] #%% ### Generate kernelized feature vectors X_train = image_data_sets.train.x X_test = image_data_sets.test.x\",\n \"decay_epochs = [1000, 10000] max_lbfgs_iter = 1000 num_classes = 2 tf.reset_default_graph() inception_model =\",\n \"model_name=full_model_name) # 下面的代码是在使用inception的卷积层生成特征 train_inception_features_val = generate_inception_features( full_model, image_data_sets.train.x, image_data_sets.train.labels, batch_size=batch_size) test_inception_features_val = generate_inception_features(\",\n \"inception_Y_pred_correct=inception_Y_pred_correct, # rbf_predicted_loss_diffs=rbf_predicted_loss_diffs, # inception_predicted_loss_diffs=inception_predicted_loss_diffs # ) # ============================================================================= #%% print('Save results...') #rand_test\",\n \"num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='car_air_rbf_hinge_t-0.001') params_feed_dict = {}\",\n \"flipped_idx = Y_train != y_test rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict)\",\n \"0.001 keep_probs = None max_lbfgs_iter = 1000 use_bias = False decay_epochs = [1000,\",\n \"rbf_predicted_loss_diffs=rbf_predicted_loss_diffs, # inception_predicted_loss_diffs=inception_predicted_loss_diffs # ) # ============================================================================= #%% print('Save results...') #rand_test = random.sample(range(1,\",\n \"from sklearn.metrics.pairwise import rbf_kernel from influence.inceptionModel import BinaryInceptionModel from influence.smooth_hinge import SmoothHinge from\",\n \"1000 use_bias = False decay_epochs = [1000, 10000] tf.reset_default_graph() X_train = image_data_sets.train.x Y_train\",\n \"random import sys sys.path.append(\\\"C:/Tang/influence-release-master\\\") #设置自定义包的搜索路径 from load_vehicles import load_vehicles import tensorflow as tf\",\n \"= np.zeros([len(Y_test)]) for idx, label in enumerate(Y_test): Y_pred_correct[idx] = Y_pred[idx, int(label)] return Y_pred_correct\",\n \"# ============================================================================= K_train = K[:num_train, :num_train] K_test = K[num_train:, :num_train] ### Compare top\",\n \"influential examples from each network test_idx = 0 ## RBF input_channels = 1\",\n \"= 0.001 keep_probs = None max_lbfgs_iter = 1000 use_bias = False decay_epochs =\",\n \"#%% ## Inception dataset_name = 'carair_40_300' test_idx = 0 # Generate inception features\",\n \"= 1 weight_decay = 0.001 batch_size = num_train initial_learning_rate = 0.001 keep_probs =\",\n \"sklearn.metrics.pairwise import rbf_kernel from influence.inceptionModel import BinaryInceptionModel from influence.smooth_hinge import SmoothHinge from influence.binaryLogisticRegressionWithLBFGS\",\n \"use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='car_air_rbf_hinge_t-0.001')\",\n \"0.001 keep_probs = None decay_epochs = [1000, 10000] #%% ### Generate kernelized feature\",\n \"rbf_predicted_loss_diffs = rbf_model.get_influence_on_test_loss( [test_idx], np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True) #%% ## Inception dataset_name = 'carair_40_300' test_idx\",\n \"distances=distances, # flipped_idx=flipped_idx, # rbf_margins_test=rbf_margins_test, # rbf_margins_train=rbf_margins_train, # inception_Y_pred_correct=inception_Y_pred_correct, # rbf_predicted_loss_diffs=rbf_predicted_loss_diffs, # inception_predicted_loss_diffs=inception_predicted_loss_diffs\",\n \"image_data_sets.train.x, image_data_sets.train.labels, batch_size=batch_size) test_inception_features_val = generate_inception_features( full_model, image_data_sets.test.x, image_data_sets.test.labels, batch_size=batch_size) train = DataSet(\",\n \"sparselin import scipy.sparse as sparse import random import sys sys.path.append(\\\"C:/Tang/influence-release-master\\\") #设置自定义包的搜索路径 from load_vehicles\",\n \"from run_rbf_comparison.py from __future__ import division from __future__ import print_function from __future__ import\",\n \"feed_dict=rbf_model.all_train_feed_dict) # inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) # # # np.savez( # 'output7/rbf_carair_results_%s' % test_idx,\",\n \"num_test_ex_per_class = 300 batch_size = 20 #TODO: 需要根据配置修改 # reset_default_graph大概就是重置当前线程，让tf session里定义的东西都失效，重来。就是重开一个神经网络session tf.reset_default_graph() full_model_name\",\n \"SmoothHinge( temp=0.001, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7',\",\n \"max_lbfgs_iter = 1000 num_classes = 2 tf.reset_default_graph() inception_model = BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay, max_lbfgs_iter=max_lbfgs_iter,\",\n \"image_data_sets.train.labels * 2 - 1 train = DataSet(K_train, Y_train) test = DataSet(K_test, Y_test)\",\n \"inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( [test_idx], np.arange(len(inception_model.data_sets.train.labels)), force_refresh=True) x_test = X_test[test_idx, :] y_test = Y_test[test_idx]\",\n \"#设置自定义包的搜索路径 from load_vehicles import load_vehicles import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets import base\",\n \"[test_idx], np.arange(len(inception_model.data_sets.train.labels)), force_refresh=True) x_test = X_test[test_idx, :] y_test = Y_test[test_idx] distances = dataset.find_distances(x_test,\",\n \":num_train] # ============================================================================= K_train = K[:num_train, :num_train] K_test = K[num_train:, :num_train] ### Compare\",\n \"/ 2 Y_pred = model.sess.run(model.preds, feed_dict=model.all_test_feed_dict) Y_pred_correct = np.zeros([len(Y_test)]) for idx, label in\",\n \"< -0.5: Y_test = (np.copy(Y_test) + 1) / 2 Y_pred = model.sess.run(model.preds, feed_dict=model.all_test_feed_dict)\",\n \"np.arange(len(inception_model.data_sets.train.labels)), force_refresh=True) x_test = X_test[test_idx, :] y_test = Y_test[test_idx] distances = dataset.find_distances(x_test, X_train)\",\n \"20 #TODO: 需要根据配置修改 # reset_default_graph大概就是重置当前线程，让tf session里定义的东西都失效，重来。就是重开一个神经网络session tf.reset_default_graph() full_model_name = '%s_inception' % dataset_name #\",\n \"2 - 1 num_train = X_train.shape[0] num_test = X_test.shape[0] X_stacked = np.vstack((X_train, X_test))\",\n \"num_train = X_train.shape[0] num_test = X_test.shape[0] X_stacked = np.vstack((X_train, X_test)) gamma = 0.05\",\n \"= Y_train != y_test # rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) # rbf_margins_train = rbf_model.sess.run(rbf_model.margin,\",\n \"= BinaryInceptionModel( img_side=img_side, num_channels=num_channels, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=image_data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=True, train_dir='output9',\",\n \"0.001 batch_size = 20 initial_learning_rate = 0.001 keep_probs = None decay_epochs = [1000,\",\n \"= 300 batch_size = 20 #TODO: 需要根据配置修改 # reset_default_graph大概就是重置当前线程，让tf session里定义的东西都失效，重来。就是重开一个神经网络session tf.reset_default_graph() full_model_name =\",\n \"rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) # inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) # # # np.savez( #\",\n \"data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] #\",\n \"= {} params_feed_dict[rbf_model.W_placeholder] = hinge_W rbf_model.sess.run(rbf_model.set_params_op, feed_dict=params_feed_dict) rbf_predicted_loss_diffs = rbf_model.get_influence_on_test_loss( [test_idx], np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True)\",\n \"print('Generate inception features...') img_side = 299 num_channels = 3 num_train_ex_per_class = 40 num_test_ex_per_class\",\n \"* 2 - 1 num_train = X_train.shape[0] num_test = X_test.shape[0] X_stacked = np.vstack((X_train,\",\n \"image_data_sets.train.x X_test = image_data_sets.test.x Y_train = np.copy(image_data_sets.train.labels) * 2 - 1 Y_test =\",\n \"### Compare top 5 influential examples from each network test_idx = 0 ##\",\n \"L[:num_train, :num_train] # L_test = L[num_train:, :num_train] # ============================================================================= K_train = K[:num_train, :num_train]\",\n \"= base.Datasets(train=train, validation=validation, test=test) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train =\",\n \"Created on Tue Mar 19 16:26:35 2019 @author: Administrator \\\"\\\"\\\" # Forked from\",\n \"print_function from __future__ import absolute_import from __future__ import unicode_literals import math import copy\",\n \"weights into smoothed version...') tf.reset_default_graph() rbf_model = SmoothHinge( temp=0.001, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes,\",\n \"dataset_name = 'carair_%s_%s' % (num_train_ex_per_class, num_test_ex_per_class) image_data_sets = load_vehicles( num_train_ex_per_class=num_train_ex_per_class, num_test_ex_per_class=num_test_ex_per_class) weight_decay =\",\n \"= image_data_sets.train.labels * 2 - 1 train = DataSet(K_train, Y_train) test = DataSet(K_test,\",\n \"= None decay_epochs = [1000, 10000] max_lbfgs_iter = 1000 num_classes = 2 tf.reset_default_graph()\",\n \"None decay_epochs = [1000, 10000] #%% ### Generate kernelized feature vectors X_train =\",\n \"test_f['labels']) # validation = None # data_sets = base.Datasets(train=train, validation=validation, test=test) # 下面的代码利用从inception卷积层训练完成后的feature进行一个二分类逻辑回归，取消卷积层后面的FC全连接层\",\n \"rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) np.savez( 'output9/rbf_carair_results_%s' % test_idx, test_idx=test_idx, distances=distances,\",\n \"import load_vehicles import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets import base from sklearn.metrics.pairwise import\",\n \"= DataSet( test_inception_features_val, image_data_sets.test.labels) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) # train =\",\n \"after inception...') input_dim = 2048 weight_decay = 0.001 batch_size = 20 initial_learning_rate =\",\n \"/ num_train) # ============================================================================= # L = slin.cholesky(K, lower=True) # L_train = L[:num_train,\",\n \"= random.sample(range(1, 600),50) #np.savez('output7/rand_test_point', rand_test=rand_test) for test_idx in range(1, 600): rbf_predicted_loss_diffs = rbf_model.get_influence_on_test_loss(\",\n \"train_f['labels']) # test_f = np.load('G:/output/%s_inception_features_new_test.npz' % dataset_name) # test = DataSet(test_f['inception_features_val'], test_f['labels']) validation\",\n \"import copy import numpy as np import pandas as pd import sklearn.linear_model as\",\n \"tf.reset_default_graph() inception_model = BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay, max_lbfgs_iter=max_lbfgs_iter, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs,\",\n \"= Y_pred[idx, int(label)] return Y_pred_correct num_classes = 2 num_train_ex_per_class = 40 num_test_ex_per_class =\",\n \"keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load\",\n \"hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load weights into smoothed version print('Load weights into\",\n \"feed_dict=rbf_model.all_train_feed_dict) inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) np.savez( 'output9/rbf_carair_results_%s' % test_idx, test_idx=test_idx, distances=distances, flipped_idx=flipped_idx, rbf_margins_test=rbf_margins_test, rbf_margins_train=rbf_margins_train,\",\n \"num_classes = 2 num_train_ex_per_class = 40 num_test_ex_per_class = 300 dataset_name = 'carair_%s_%s' %\",\n \"import sklearn.linear_model as linear_model import sklearn.preprocessing as preprocessing import scipy import scipy.linalg as\",\n \"# ============================================================================= # inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( # [test_idx], # np.arange(len(inception_model.data_sets.train.labels)), # force_refresh=True) #\",\n \"image_data_sets.train.labels) test = DataSet( test_inception_features_val, image_data_sets.test.labels) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name) #\",\n \"mini_batch=False, train_dir='output9', log_dir='log', model_name='%s_inception_onlytop' % dataset_name) inception_model.train() # ============================================================================= # inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss(\",\n \"= base.Datasets(train=train, validation=validation, test=test) # 下面的代码利用从inception卷积层训练完成后的feature进行一个二分类逻辑回归，取消卷积层后面的FC全连接层 print('Train logistic regression after inception...') input_dim =\",\n \"train_dir='output7', log_dir='log', model_name='car_air_rbf_hinge_t-0.001') params_feed_dict = {} params_feed_dict[rbf_model.W_placeholder] = hinge_W rbf_model.sess.run(rbf_model.set_params_op, feed_dict=params_feed_dict) rbf_predicted_loss_diffs =\",\n \"initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output9', log_dir='log', model_name='%s_inception_onlytop' % dataset_name) inception_model.train() # ============================================================================= #\",\n \"# inception_Y_pred_correct=inception_Y_pred_correct, # rbf_predicted_loss_diffs=rbf_predicted_loss_diffs, # inception_predicted_loss_diffs=inception_predicted_loss_diffs # ) # ============================================================================= #%% print('Save results...')\",\n \"% dataset_name) # train = DataSet(train_f['inception_features_val'], train_f['labels']) # test_f = np.load('G:/output/%s_inception_features_new_test.npz' % dataset_name)\",\n \"train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load weights into smoothed\",\n \"load weights into smoothed version print('Load weights into smoothed version...') tf.reset_default_graph() rbf_model =\",\n \"slin.cholesky(K, lower=True) # L_train = L[:num_train, :num_train] # L_test = L[num_train:, :num_train] #\",\n \"num_test_ex_per_class=num_test_ex_per_class) weight_decay = 0.001 initial_learning_rate = 0.001 keep_probs = None decay_epochs = [1000,\",\n \"+ 1) / 2 Y_pred = model.sess.run(model.preds, feed_dict=model.all_test_feed_dict) Y_pred_correct = np.zeros([len(Y_test)]) for idx,\",\n \"# # # np.savez( # 'output7/rbf_carair_results_%s' % test_idx, # test_idx=test_idx, # distances=distances, #\",\n \"generate_inception_features( full_model, image_data_sets.test.x, image_data_sets.test.labels, batch_size=batch_size) train = DataSet( train_inception_features_val, image_data_sets.train.labels) test = DataSet(\",\n \"num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W =\",\n \"Y_test[test_idx] distances = dataset.find_distances(x_test, X_train) flipped_idx = Y_train != y_test rbf_margins_test = rbf_model.sess.run(rbf_model.margin,\",\n \"DataSet(test_f['inception_features_val'], test_f['labels']) validation = None # 上面的代码是训练了inception模型的全连接层前面的部分，因此输出的feature有2048个维度 data_sets = base.Datasets(train=train, validation=validation, test=test) #\",\n \"rbf with hinge...') rbf_model = SmoothHinge( temp=0, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets,\",\n \"= np.vstack((X_train, X_test)) gamma = 0.05 weight_decay = 0.0001 K = rbf_kernel(X_stacked, gamma\",\n \"inception...') input_dim = 2048 weight_decay = 0.001 batch_size = 20 initial_learning_rate = 0.001\",\n \"test_inception_features_val = generate_inception_features( full_model, image_data_sets.test.x, image_data_sets.test.labels, batch_size=batch_size) train = DataSet( train_inception_features_val, image_data_sets.train.labels) test\",\n \"validation = None # 上面的代码是训练了inception模型的全连接层前面的部分，因此输出的feature有2048个维度 data_sets = base.Datasets(train=train, validation=validation, test=test) # train_f =\",\n \"X_test = image_data_sets.test.x Y_train = np.copy(image_data_sets.train.labels) * 2 - 1 Y_test = np.copy(image_data_sets.test.labels)\",\n \"= gamma / num_train) # ============================================================================= # L = slin.cholesky(K, lower=True) # L_train\",\n \"rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) # rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) # inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model)\",\n \"[1000, 10000] max_lbfgs_iter = 1000 num_classes = 2 tf.reset_default_graph() inception_model = BinaryLogisticRegressionWithLBFGS( input_dim=input_dim,\",\n \"# distances = dataset.find_distances(x_test, X_train) # flipped_idx = Y_train != y_test # rbf_margins_test\",\n \"mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load weights into\",\n \"X_train = image_data_sets.train.x X_test = image_data_sets.test.x Y_train = np.copy(image_data_sets.train.labels) * 2 - 1\",\n \"from influence.inceptionModel import BinaryInceptionModel from influence.smooth_hinge import SmoothHinge from influence.binaryLogisticRegressionWithLBFGS import BinaryLogisticRegressionWithLBFGS import\",\n \"sklearn.linear_model as linear_model import sklearn.preprocessing as preprocessing import scipy import scipy.linalg as slin\",\n \"input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train()\",\n \"X_train) # flipped_idx = Y_train != y_test # rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) #\",\n \"from influence.dataset_poisoning import generate_inception_features #%% def get_Y_pred_correct_inception(model): Y_test = model.data_sets.test.labels if np.min(Y_test) <\",\n \"2019 @author: Administrator \\\"\\\"\\\" # Forked from run_rbf_comparison.py from __future__ import division from\",\n \"np import pandas as pd import sklearn.linear_model as linear_model import sklearn.preprocessing as preprocessing\",\n \"#%% def get_Y_pred_correct_inception(model): Y_test = model.data_sets.test.labels if np.min(Y_test) < -0.5: Y_test = (np.copy(Y_test)\",\n \"None max_lbfgs_iter = 1000 use_bias = False decay_epochs = [1000, 10000] tf.reset_default_graph() X_train\",\n \"DataSet(test_f['inception_features_val'], test_f['labels']) # validation = None # data_sets = base.Datasets(train=train, validation=validation, test=test) #\",\n \"with hinge print('Train rbf with hinge...') rbf_model = SmoothHinge( temp=0, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay,\",\n \"% dataset_name # 下面的语句是定义一个inception双分类器 full_model = BinaryInceptionModel( img_side=img_side, num_channels=num_channels, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=image_data_sets,\",\n \"import scipy.sparse as sparse import random import sys sys.path.append(\\\"C:/Tang/influence-release-master\\\") #设置自定义包的搜索路径 from load_vehicles import\",\n \"num_channels = 3 num_train_ex_per_class = 40 num_test_ex_per_class = 300 batch_size = 20 #TODO:\",\n \"rbf_model = SmoothHinge( temp=0, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs,\",\n \"= K[:num_train, :num_train] K_test = K[num_train:, :num_train] ### Compare top 5 influential examples\",\n \"vectors X_train = image_data_sets.train.x X_test = image_data_sets.test.x Y_train = np.copy(image_data_sets.train.labels) * 2 -\",\n \"K_test = K[num_train:, :num_train] ### Compare top 5 influential examples from each network\",\n \"= np.load('G:/output/%s_inception_features_new_test.npz' % dataset_name) # test = DataSet(test_f['inception_features_val'], test_f['labels']) # validation = None\",\n \"SmoothHinge from influence.binaryLogisticRegressionWithLBFGS import BinaryLogisticRegressionWithLBFGS import influence.dataset as dataset from influence.dataset import DataSet\",\n \"influence.dataset import DataSet from influence.dataset_poisoning import generate_inception_features #%% def get_Y_pred_correct_inception(model): Y_test = model.data_sets.test.labels\",\n \"# # distances = dataset.find_distances(x_test, X_train) # flipped_idx = Y_train != y_test #\",\n \"-0.5: Y_test = (np.copy(Y_test) + 1) / 2 Y_pred = model.sess.run(model.preds, feed_dict=model.all_test_feed_dict) Y_pred_correct\",\n \"print('Train logistic regression after inception...') input_dim = 2048 weight_decay = 0.001 batch_size =\",\n \"= data_sets.train.x.shape[1] # Train with hinge print('Train rbf with hinge...') rbf_model = SmoothHinge(\",\n \"load_vehicles import load_vehicles import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets import base from sklearn.metrics.pairwise\",\n \"results...') #rand_test = random.sample(range(1, 600),50) #np.savez('output7/rand_test_point', rand_test=rand_test) for test_idx in range(1, 600): rbf_predicted_loss_diffs\",\n \"from influence.smooth_hinge import SmoothHinge from influence.binaryLogisticRegressionWithLBFGS import BinaryLogisticRegressionWithLBFGS import influence.dataset as dataset from\",\n \"get_Y_pred_correct_inception(inception_model) # # # np.savez( # 'output7/rbf_carair_results_%s' % test_idx, # test_idx=test_idx, # distances=distances,\",\n \"import sys sys.path.append(\\\"C:/Tang/influence-release-master\\\") #设置自定义包的搜索路径 from load_vehicles import load_vehicles import tensorflow as tf from\",\n \"generate_inception_features #%% def get_Y_pred_correct_inception(model): Y_test = model.data_sets.test.labels if np.min(Y_test) < -0.5: Y_test =\",\n \"num_test = X_test.shape[0] X_stacked = np.vstack((X_train, X_test)) gamma = 0.05 weight_decay = 0.0001\",\n \"= 0.05 weight_decay = 0.0001 K = rbf_kernel(X_stacked, gamma = gamma / num_train)\",\n \"feed_dict=rbf_model.all_test_feed_dict) rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model) np.savez( 'output9/rbf_carair_results_%s' % test_idx, test_idx=test_idx,\",\n \"% dataset_name) inception_model.train() # ============================================================================= # inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( # [test_idx], # np.arange(len(inception_model.data_sets.train.labels)),\",\n \"L = slin.cholesky(K, lower=True) # L_train = L[:num_train, :num_train] # L_test = L[num_train:,\",\n \"initial_learning_rate = 0.001 keep_probs = None max_lbfgs_iter = 1000 use_bias = False decay_epochs\",\n \"lower=True) # L_train = L[:num_train, :num_train] # L_test = L[num_train:, :num_train] # =============================================================================\",\n \":] # y_test = Y_test[test_idx] # # # distances = dataset.find_distances(x_test, X_train) #\",\n \"\\\"\\\"\\\" Created on Tue Mar 19 16:26:35 2019 @author: Administrator \\\"\\\"\\\" # Forked\",\n \"* 2 - 1 Y_test = np.copy(image_data_sets.test.labels) * 2 - 1 num_train =\",\n \"data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output9', log_dir='log', model_name='%s_inception_onlytop' % dataset_name) inception_model.train() # =============================================================================\",\n \"import print_function from __future__ import absolute_import from __future__ import unicode_literals import math import\",\n \"= Y_test[test_idx] # # # distances = dataset.find_distances(x_test, X_train) # flipped_idx = Y_train\",\n \"K_train = K[:num_train, :num_train] K_test = K[num_train:, :num_train] ### Compare top 5 influential\",\n \"#rand_test = random.sample(range(1, 600),50) #np.savez('output7/rand_test_point', rand_test=rand_test) for test_idx in range(1, 600): rbf_predicted_loss_diffs =\",\n \"train_inception_features_val, image_data_sets.train.labels) test = DataSet( test_inception_features_val, image_data_sets.test.labels) # train_f = np.load('G:/output/%s_inception_features_new_train.npz' % dataset_name)\",\n \"!= y_test rbf_margins_test = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_test_feed_dict) rbf_margins_train = rbf_model.sess.run(rbf_model.margin, feed_dict=rbf_model.all_train_feed_dict) inception_Y_pred_correct = get_Y_pred_correct_inception(inception_model)\",\n \"inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( # [test_idx], # np.arange(len(inception_model.data_sets.train.labels)), # force_refresh=True) # # x_test =\",\n \"feed_dict=model.all_test_feed_dict) Y_pred_correct = np.zeros([len(Y_test)]) for idx, label in enumerate(Y_test): Y_pred_correct[idx] = Y_pred[idx, int(label)]\",\n \"K = rbf_kernel(X_stacked, gamma = gamma / num_train) # ============================================================================= # L =\",\n \"logistic regression after inception...') input_dim = 2048 weight_decay = 0.001 batch_size = 20\",\n \"num_train_ex_per_class = 40 num_test_ex_per_class = 300 dataset_name = 'carair_%s_%s' % (num_train_ex_per_class, num_test_ex_per_class) image_data_sets\",\n \"mini_batch=True, train_dir='output9', log_dir='log', model_name=full_model_name) # 下面的代码是在使用inception的卷积层生成特征 train_inception_features_val = generate_inception_features( full_model, image_data_sets.train.x, image_data_sets.train.labels, batch_size=batch_size)\",\n \"# validation = None # data_sets = base.Datasets(train=train, validation=validation, test=test) # 下面的代码利用从inception卷积层训练完成后的feature进行一个二分类逻辑回归，取消卷积层后面的FC全连接层 print('Train\",\n \"unicode_literals import math import copy import numpy as np import pandas as pd\",\n \"if np.min(Y_test) < -0.5: Y_test = (np.copy(Y_test) + 1) / 2 Y_pred =\",\n \"dataset_name # 下面的语句是定义一个inception双分类器 full_model = BinaryInceptionModel( img_side=img_side, num_channels=num_channels, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=image_data_sets, initial_learning_rate=initial_learning_rate,\",\n \"None decay_epochs = [1000, 10000] max_lbfgs_iter = 1000 num_classes = 2 tf.reset_default_graph() inception_model\",\n \"np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True) inception_predicted_loss_diffs = inception_model.get_influence_on_test_loss( [test_idx], np.arange(len(inception_model.data_sets.train.labels)), force_refresh=True) x_test = X_test[test_idx, :] y_test\",\n \"force_refresh=True) #%% ## Inception dataset_name = 'carair_40_300' test_idx = 0 # Generate inception\",\n \"SmoothHinge( temp=0, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output7',\",\n \"decay_epochs=decay_epochs, mini_batch=False, train_dir='output7', log_dir='log', model_name='carair_rbf_hinge_t-0') rbf_model.train() hinge_W = rbf_model.sess.run(rbf_model.params)[0] # Then load weights\",\n \"# # np.savez( # 'output7/rbf_carair_results_%s' % test_idx, # test_idx=test_idx, # distances=distances, # flipped_idx=flipped_idx,\",\n \"train_inception_features_val = generate_inception_features( full_model, image_data_sets.train.x, image_data_sets.train.labels, batch_size=batch_size) test_inception_features_val = generate_inception_features( full_model, image_data_sets.test.x, image_data_sets.test.labels,\",\n \"rbf_margins_train=rbf_margins_train, # inception_Y_pred_correct=inception_Y_pred_correct, # rbf_predicted_loss_diffs=rbf_predicted_loss_diffs, # inception_predicted_loss_diffs=inception_predicted_loss_diffs # ) # ============================================================================= #%% print('Save\",\n \"test_idx = 0 ## RBF input_channels = 1 weight_decay = 0.001 batch_size =\",\n \"= BinaryLogisticRegressionWithLBFGS( input_dim=input_dim, weight_decay=weight_decay, max_lbfgs_iter=max_lbfgs_iter, num_classes=num_classes, batch_size=batch_size, data_sets=data_sets, initial_learning_rate=initial_learning_rate, keep_probs=keep_probs, decay_epochs=decay_epochs, mini_batch=False, train_dir='output9',\",\n \"print('Train rbf with hinge...') rbf_model = SmoothHinge( temp=0, use_bias=use_bias, input_dim=input_dim, weight_decay=weight_decay, num_classes=num_classes, batch_size=batch_size,\",\n \"DataSet from influence.dataset_poisoning import generate_inception_features #%% def get_Y_pred_correct_inception(model): Y_test = model.data_sets.test.labels if np.min(Y_test)\",\n \"rbf_model.get_influence_on_test_loss( [test_idx], np.arange(len(rbf_model.data_sets.train.labels)), force_refresh=True) #%% ## Inception dataset_name = 'carair_40_300' test_idx = 0\",\n \"# ) # ============================================================================= #%% print('Save results...') #rand_test = random.sample(range(1, 600),50) #np.savez('output7/rand_test_point', rand_test=rand_test)\",\n \"dataset_name) # test = DataSet(test_f['inception_features_val'], test_f['labels']) validation = None # 上面的代码是训练了inception模型的全连接层前面的部分，因此输出的feature有2048个维度 data_sets =\",\n \"from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals import\",\n \"K[num_train:, :num_train] ### Compare top 5 influential examples from each network test_idx =\",\n \"Y_train = image_data_sets.train.labels * 2 - 1 train = DataSet(K_train, Y_train) test =\",\n \"= 2 num_train_ex_per_class = 40 num_test_ex_per_class = 300 dataset_name = 'carair_%s_%s' % (num_train_ex_per_class,\",\n \"weight_decay = 0.0001 K = rbf_kernel(X_stacked, gamma = gamma / num_train) # =============================================================================\"\n]","isConversational":false}}},{"rowIdx":749,"cells":{"ngram":{"kind":"list like","value":["in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i]","in traing data # ../../data/train is the path of original train data ##########################################################","specify # the order of samples in traing data # ../../data/train is the","../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order","for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0","newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm')","print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for","d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1","e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1","data # ../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2]","in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count:","i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0:","xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples","newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1","list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing data","tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x in","newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc)","cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f","like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing data #","j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1","d=-1 e=-1 for line in fo: xx=line.split() for x in xx: if x","count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i]","in fo: xx=line.split() for x in xx: if x in newc: a=b b=d","if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close()","fo: xx=line.split() for x in xx: if x in newc: a=b b=d d=e","i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid):","a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing","# pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to","if x in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if","xx: if x in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g:","xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the","find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify #","a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x in xx:","data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i","fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for","is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in","for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in","e=-1 for line in fo: xx=line.split() for x in xx: if x in","True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in","if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for","original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={}","(a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i","for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if","to specify # the order of samples in traing data # ../../data/train is","tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={}","of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p'))","the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p","cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot)","../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p","cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i] print(len(cmd4gx)) pickle.dump(cmd4gx,open('cmd4g.p','w'))","b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0","# usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like","if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i","for x in xx: if x in newc: a=b b=d d=e e=x if","traing data # ../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1]","# ../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name))","of samples in traing data # ../../data/train is the path of original train","(a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if","xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j","the order of samples in traing data # ../../data/train is the path of","in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo:","x in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e)","or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc:","xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0","data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for","is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or","cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1","count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i] print(len(cmd4gx))","count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del","xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2:","########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in","samples in traing data # ../../data/train is the path of original train data","b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x in xx: if","line in fo: xx=line.split() for x in xx: if x in newc: a=b","xx=line.split() for x in xx: if x in newc: a=b b=d d=e e=x","not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in","pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a","in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={}","path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p'))","enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split()","for line in fo: xx=line.split() for x in xx: if x in newc:","import sys import pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train #","sys import pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p","fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x","print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g:","in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0:","in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not","pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify","usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....]","count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for","a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count:","x in xx: if x in newc: a=b b=d d=e e=x if (a,b,d,e)","count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count","newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in","import pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is","c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in","########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list","for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line","order of samples in traing data # ../../data/train is the path of original","newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for","in xx: if x in newc: a=b b=d d=e e=x if (a,b,d,e) in","train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for","# the order of samples in traing data # ../../data/train is the path","# xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of","in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1","#xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in","['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing data # ../../data/train"],"string":"[\n \"in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i]\",\n \"in traing data # ../../data/train is the path of original train data ##########################################################\",\n \"specify # the order of samples in traing data # ../../data/train is the\",\n \"../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order\",\n \"for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0\",\n \"newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm')\",\n \"print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for\",\n \"d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1\",\n \"e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1\",\n \"data # ../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2]\",\n \"in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count:\",\n \"i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0:\",\n \"xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples\",\n \"newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1\",\n \"list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing data\",\n \"tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x in\",\n \"newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc)\",\n \"cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f\",\n \"like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing data #\",\n \"j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1\",\n \"d=-1 e=-1 for line in fo: xx=line.split() for x in xx: if x\",\n \"count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i]\",\n \"in fo: xx=line.split() for x in xx: if x in newc: a=b b=d\",\n \"if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close()\",\n \"fo: xx=line.split() for x in xx: if x in newc: a=b b=d d=e\",\n \"i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid):\",\n \"a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing\",\n \"# pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to\",\n \"if x in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if\",\n \"xx: if x in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g:\",\n \"xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the\",\n \"find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify #\",\n \"a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x in xx:\",\n \"data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i\",\n \"fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for\",\n \"is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in\",\n \"for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in\",\n \"e=-1 for line in fo: xx=line.split() for x in xx: if x in\",\n \"True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in\",\n \"if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for\",\n \"original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={}\",\n \"(a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i\",\n \"for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if\",\n \"to specify # the order of samples in traing data # ../../data/train is\",\n \"tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={}\",\n \"of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p'))\",\n \"the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p\",\n \"cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot)\",\n \"../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p\",\n \"cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i] print(len(cmd4gx)) pickle.dump(cmd4gx,open('cmd4g.p','w'))\",\n \"b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0\",\n \"# usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like\",\n \"if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i\",\n \"for x in xx: if x in newc: a=b b=d d=e e=x if\",\n \"traing data # ../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1]\",\n \"# ../../data/train is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name))\",\n \"of samples in traing data # ../../data/train is the path of original train\",\n \"(a,b,d,e) in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if\",\n \"xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j\",\n \"the order of samples in traing data # ../../data/train is the path of\",\n \"in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo:\",\n \"x in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e)\",\n \"or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc:\",\n \"xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0\",\n \"data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for\",\n \"is the path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or\",\n \"cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1\",\n \"count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i] print(len(cmd4gx))\",\n \"count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del\",\n \"xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2:\",\n \"########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in\",\n \"samples in traing data # ../../data/train is the path of original train data\",\n \"b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x in xx: if\",\n \"line in fo: xx=line.split() for x in xx: if x in newc: a=b\",\n \"xx=line.split() for x in xx: if x in newc: a=b b=d d=e e=x\",\n \"not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in\",\n \"pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a\",\n \"in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={}\",\n \"path of original train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p'))\",\n \"enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split()\",\n \"for line in fo: xx=line.split() for x in xx: if x in newc:\",\n \"import sys import pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train #\",\n \"sys import pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p\",\n \"fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for x\",\n \"print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g:\",\n \"in cmd4g: if (a,b,d,e) not in count: count[(a,b,d,e)]=0 count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0:\",\n \"in newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not\",\n \"pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify\",\n \"usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....]\",\n \"count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in fo: xx=line.split() for\",\n \"a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in count:\",\n \"x in xx: if x in newc: a=b b=d d=e e=x if (a,b,d,e)\",\n \"count[(a,b,d,e)]+=1 tot+=1 fo.close() if True:#c%10000==0: print(c*1.0/len(xid),tot) for i in count: cmd4g[i]=count[i]+cmd4g[i] del count\",\n \"newc: a=b b=d d=e e=x if (a,b,d,e) in cmd4g: if (a,b,d,e) not in\",\n \"import pickle ########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is\",\n \"c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line in\",\n \"########################################################## # usage # pypy find_4g.py xid_train.p ../../data/train # xid_train.p is a list\",\n \"for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1 d=-1 e=-1 for line\",\n \"order of samples in traing data # ../../data/train is the path of original\",\n \"newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for\",\n \"in xx: if x in newc: a=b b=d d=e e=x if (a,b,d,e) in\",\n \"train data ########################################################## xid_name=sys.argv[1] data_path=sys.argv[2] xid=pickle.load(open(xid_name)) #xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for\",\n \"# the order of samples in traing data # ../../data/train is the path\",\n \"# xid_train.p is a list like ['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of\",\n \"in newc: cmd4g[(i[0],i[1],i[2],j)]=0 print(newc) for c,f in enumerate(xid): count={} fo=open(data_path+'/'+f+'.asm') tot=0 a=-1 b=-1\",\n \"#xid_train.p or xid_test.p newc=pickle.load(open('newc.p')) newc2=pickle.load(open('cutcmd3g_for_4g.p')) cmd4g={} for i in newc2: for j in\",\n \"['loIP1tiwELF9YNZQjSUO',''....] to specify # the order of samples in traing data # ../../data/train\"\n]","isConversational":false}}},{"rowIdx":750,"cells":{"ngram":{"kind":"list like","value":[],"string":"[]","isConversational":false}}},{"rowIdx":751,"cells":{"ngram":{"kind":"list like","value":["from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer']","(r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword),","for details. \"\"\" from pygments.lexer import RegexLexer from pygments.token import String, Number, Name,","tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number),","String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*',","'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' :","], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]', String), (r'\"', String, '#pop'), ], }","Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]', String), (r'\"', String, '#pop'), ],","Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*',","(r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function),","\\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]', String), (r'\"',","Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator),","`Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases","from pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text,","see LICENSE for details. \"\"\" from pygments.lexer import RegexLexer from pygments.token import String,","['*.rts'] tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)',","for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see","details. \"\"\" from pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword,","Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for","Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed","r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape),","Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_","<reponame>blu-base/pygments<filename>pygments/lexers/trafficscript.py<gh_stars>1-10 \"\"\" pygments.lexers.trafficscript ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022","r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [","For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript'","\"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name =","'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator),","Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]', String), (r'\"', String,","by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. \"\"\"",":license: BSD, see LICENSE for details. \"\"\" from pygments.lexer import RegexLexer from pygments.token","{ 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float),","Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray","String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\"","2.1 \"\"\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens","~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments","= ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\",","Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|'","= { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+',","aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' : [","the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. \"\"\" from","(r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string'","(RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD,","Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. \"\"\" from pygments.lexer","= 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root'","(r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]', String), (r'\"', String, '#pop'),","'rts'] filenames = ['*.rts'] tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"',","LICENSE for details. \"\"\" from pygments.lexer import RegexLexer from pygments.token import String, Number,","team, see AUTHORS. :license: BSD, see LICENSE for details. \"\"\" from pygments.lexer import","Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+',","Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases = ['trafficscript',","Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases =","Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic","pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment",": [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable),","RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ =","= ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded::","['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1",".. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames =","r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' :","RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS.","Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||'","\"\"\" from pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator,","versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts']","filenames = ['*.rts'] tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String,","<http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames","(r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|'","BSD, see LICENSE for details. \"\"\" from pygments.lexer import RegexLexer from pygments.token import","AUTHORS. :license: BSD, see LICENSE for details. \"\"\" from pygments.lexer import RegexLexer from","(r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment),","pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class","(r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[","\"\"\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens =","[ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)',","= ['*.rts'] tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'),","Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ],","Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For","(r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|'","pygments.lexers.trafficscript ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the","class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\"","Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name = 'TrafficScript' aliases = ['trafficscript', 'rts']","RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \"\"\" name","['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String),","TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license:","import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__","(r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text),","\"\"\" pygments.lexers.trafficscript ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by","language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see","see AUTHORS. :license: BSD, see LICENSE for details. \"\"\" from pygments.lexer import RegexLexer","name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = {","(r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]', String),","'root' : [ (r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*',","Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]', String.Escape), (r'[^\"]',","import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer):","(r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\|\\||' r'\\+=|.=|-=|\\*=|/=|%=|<<=|>>=|&=|\\|=|\\^=|' r'>>|<<|' r'\\+\\+|--|=>)',","Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager","String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\[\\]\\?\\:]',","r'>>|<<|' r'\\+\\+|--|=>)', Operator), (r'[ \\t\\r]+', Text), (r'#[^\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\[tsn]',","Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team,","2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details.",":copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE","__all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \"\"\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .."],"string":"[\n \"from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer']\",\n \"(r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword),\",\n \"for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token import String, Number, Name,\",\n \"tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number),\",\n \"String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*',\",\n \"'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' :\",\n \"], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]', String), (r'\\\"', String, '#pop'), ], }\",\n \"Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]', String), (r'\\\"', String, '#pop'), ],\",\n \"Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*',\",\n \"(r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function),\",\n \"\\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]', String), (r'\\\"',\",\n \"Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator),\",\n \"`Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases\",\n \"from pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text,\",\n \"see LICENSE for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token import String,\",\n \"['*.rts'] tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)',\",\n \"for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see\",\n \"details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword,\",\n \"Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for\",\n \"Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed\",\n \"r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape),\",\n \"Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_\",\n \"<reponame>blu-base/pygments<filename>pygments/lexers/trafficscript.py<gh_stars>1-10 \\\"\\\"\\\" pygments.lexers.trafficscript ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022\",\n \"r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [\",\n \"For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript'\",\n \"\\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name =\",\n \"'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator),\",\n \"Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]', String), (r'\\\"', String,\",\n \"by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. \\\"\\\"\\\"\",\n \":license: BSD, see LICENSE for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token\",\n \"{ 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float),\",\n \"Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray\",\n \"String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\"\",\n \"2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens\",\n \"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments\",\n \"= ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\",\",\n \"Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|'\",\n \"= { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+',\",\n \"aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' : [\",\n \"the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. \\\"\\\"\\\" from\",\n \"(r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string'\",\n \"(RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD,\",\n \"Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. \\\"\\\"\\\" from pygments.lexer\",\n \"= 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root'\",\n \"(r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]', String), (r'\\\"', String, '#pop'),\",\n \"'rts'] filenames = ['*.rts'] tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"',\",\n \"LICENSE for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token import String, Number,\",\n \"team, see AUTHORS. :license: BSD, see LICENSE for details. \\\"\\\"\\\" from pygments.lexer import\",\n \"Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+',\",\n \"Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript',\",\n \"Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases =\",\n \"Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic\",\n \"pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment\",\n \": [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable),\",\n \"RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ =\",\n \"= ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded::\",\n \"['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1\",\n \".. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames =\",\n \"r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' :\",\n \"RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS.\",\n \"Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||'\",\n \"\\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator,\",\n \"versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts']\",\n \"filenames = ['*.rts'] tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String,\",\n \"<http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames\",\n \"(r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|'\",\n \"BSD, see LICENSE for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from pygments.token import\",\n \"AUTHORS. :license: BSD, see LICENSE for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer from\",\n \"(r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment),\",\n \"pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class\",\n \"(r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[\",\n \"\\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens =\",\n \"[ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)',\",\n \"= ['*.rts'] tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'),\",\n \"Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ],\",\n \"Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For\",\n \"(r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|'\",\n \"pygments.lexers.trafficscript ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the\",\n \"class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\"\",\n \"Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name = 'TrafficScript' aliases = ['trafficscript', 'rts']\",\n \"RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ .. versionadded:: 2.1 \\\"\\\"\\\" name\",\n \"['trafficscript', 'rts'] filenames = ['*.rts'] tokens = { 'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String),\",\n \"TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license:\",\n \"import RegexLexer from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__\",\n \"(r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text),\",\n \"\\\"\\\"\\\" pygments.lexers.trafficscript ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by\",\n \"language. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see\",\n \"see AUTHORS. :license: BSD, see LICENSE for details. \\\"\\\"\\\" from pygments.lexer import RegexLexer\",\n \"name = 'TrafficScript' aliases = ['trafficscript', 'rts'] filenames = ['*.rts'] tokens = {\",\n \"(r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]', String),\",\n \"'root' : [ (r\\\"'(\\\\\\\\\\\\\\\\|\\\\\\\\[^\\\\\\\\]|[^'\\\\\\\\])*'\\\", String), (r'\\\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*',\",\n \"Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]', String.Escape), (r'[^\\\"]',\",\n \"import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer):\",\n \"(r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]', Operator), (r'(>=|<=|==|!=|' r'&&|\\\\|\\\\||' r'\\\\+=|.=|-=|\\\\*=|/=|%=|<<=|>>=|&=|\\\\|=|\\\\^=|' r'>>|<<|' r'\\\\+\\\\+|--|=>)',\",\n \"Text, Comment __all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager\",\n \"String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\\\d+)', Number), (r'\\\\d+\\\\.\\\\d+', Number.Float), (r'\\\\$[a-zA-Z](\\\\w|_)*', Name.Variable), (r'(if|else|for(each)?|in|while|do|break|sub|return|import)', Keyword), (r'[a-zA-Z][\\\\w.]*', Name.Function), (r'[-+*/%=,;(){}<>^.!~|&\\\\[\\\\]\\\\?\\\\:]',\",\n \"r'>>|<<|' r'\\\\+\\\\+|--|=>)', Operator), (r'[ \\\\t\\\\r]+', Text), (r'#[^\\\\n]*', Comment), ], 'escapable-string' : [ (r'\\\\\\\\[tsn]',\",\n \"Lexer for RiverBed's TrafficScript (RTS) language. :copyright: Copyright 2006-2022 by the Pygments team,\",\n \"2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details.\",\n \":copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE\",\n \"__all__ = ['RtsLexer'] class RtsLexer(RegexLexer): \\\"\\\"\\\" For `Riverbed Stingray Traffic Manager <http://www.riverbed.com/stingray>`_ ..\"\n]","isConversational":false}}},{"rowIdx":752,"cells":{"ngram":{"kind":"list like","value":["is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\"","assert new_copy.name == \"banana\" def test_unique(self, index): # don't test a MultiIndex here","level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too","check for empty Index, MultiIndex, and RangeIndex\") idx = holder([index[0]] * 5) assert","(MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates() for","`idx_unique`, so first we make sure it's unique # and doesn't contain nans.","Index, MultiIndex, and RangeIndex\") idx = holder([index[0]] * 5) assert idx.is_unique is False","index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \"This is the new name","assert res is None assert index.name == new_name assert index.names == [new_name] #","Collection of tests asserting things that should be true for any index subclass.","for index type\") if na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position:","else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if","tested separated) # don't test a CategoricalIndex because categories change (GH 18291) if","# GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert","assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False,","if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as","na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test","ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index):","tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) if len(index) ==","index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError):","expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second =","as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, )","= index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self,","expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None, None), (None, \"B\",","expected = index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result,","continue with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested","res = index.rename(new_name, inplace=True) # should return None assert res is None assert","nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\") if is_period_dtype(index.dtype):","isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to test if the","\"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will","MultiIndex\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name","test_mutability(self, index): if not len(index): pytest.skip(\"Skip check for empty Index\") msg = \"Index","= r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self,","def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 # Test unions","\"B\", None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name):","(None, \"B\", None), (None, None, None), ], ) def test_corner_union(self, index, fname, sname,","not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\) does","tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") #","(CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\") if na_position","= original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\")","sort_values works with missing values, # sort non-missing and place missing according to","# i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique","first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second","idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna,","should return None assert res is None assert index.name == new_name assert index.names","holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\")","isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self,","for MultiIndex or repeated indices\") # test copy.intersection(subset) - need sort for unicode","second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname,","pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates() for level in","index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg","implemented for tuple searches in MultiIndex # or Intervals searches in IntervalIndex if","if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is","as part of # synchronizing duplicate-sorting behavior, because we currently expect # them,","cannot have duplicates unique_idx = index else: holder = type(index) unique_values = list(set(index))","index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert",") def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique:","# don't test a MultiIndex here (as its tested separated) # don't test","validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg =","pytest.skip(\"MultiIndex has no ._data\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\",","asserting things that should be true for any index subclass. Makes use of","index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first","succeed so we use a try / except result = index.astype(dtype) except (ValueError,","name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex):","shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\)","expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"),","[\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing,","test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a = index","index): new_name = \"This is the new name for this index\" # don't","= first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname)","= index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected)","def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately in","Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates","are the same, expected_right should be length expected_right = len(index) # test _searchsorted_monotonic","repeated indices\") # test copy.union(subset) - need sort for unicode and string first","index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\")","assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for","pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index):","the index is empty if index.empty: pytest.skip(\"Skip check for empty Index\") value =","or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\")","missing values, # sort non-missing and place missing according to na_position if isinstance(index_with_missing,","def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check","MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\") if na_position not","# Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index):","index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect","according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get","tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name = index.name new_ind","= index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\",",".rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def","None, None), (None, \"B\", None), (None, None, None), ], ) def test_union_unequal(self, index,","index.name = \"idx\" try: # Some of these conversions cannot succeed so we","or repeated indices\") # test copy.intersection(subset) - need sort for unicode and string","res is None assert index.name == new_name assert index.names == [new_name] # FIXME:","== value).argmin() if expected_right == 0: # all values are the same, expected_right","], ) def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 #","a hashable type\" renamed = [[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed)","other indices, and Series to sort differently (xref 35922) pytest.xfail(\"sort_values does not support","pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name must be a hashable type\" renamed","period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan =","with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with","tuple searches in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex,","na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\",","if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896 expected =","fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested separately","pytest.skip(\"Skip check for empty Index\") msg = \"Index does not support mutable operations\"","that should be true for any index subclass. Makes use of the `indices`","# all values are the same, expected_right should be length expected_right = len(index)","it cannot hold duplicates\" ) if len(index) == 0: pytest.skip( \"empty index is","copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got","= ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped =","pytest.skip(\"MultiIndex is tested separately\") # make unique index if isinstance(index, RangeIndex): # RangeIndex","(MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to test if the index","results (handle dupes for 'right') expected_left, expected_right = 0, (index == value).argmin() if",") with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested separately if","type\") if na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position)","values are the same, expected_right should be length expected_right = len(index) # test","fname, sname, expected_name): # GH 9943 9862 # Test unions with various name","# GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for","differently (xref 35922) pytest.xfail(\"sort_values does not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)):","== name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy,","MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index):","missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \"first\":","MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.union(subset)","pytest.skip(\"Skip check for empty Index\") value = index[0] # determine the expected results","check for MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates() for level in 0,","= index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0] * 5]","should be length expected_right = len(index) # test _searchsorted_monotonic in all cases #","deepcopy): idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy =","unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates()","assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError: pass for","its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name = index.name","MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \"This is","index.empty: pytest.skip(\"Skip check for empty Index\") value = index[0] # determine the expected","4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\) does not","holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique","intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866","ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\")","first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union,","= np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \"first\": sorted_values","should still fail even if it would be the right length # ind.set_names(\"a\")","order not defined for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values","unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with","has only 1 level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = (","in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple)","assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for","for empty Index\") value = index[0] # determine the expected results (handle dupes","isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func in (copy, deepcopy): idx_copy =","[index.name]: if isinstance(index.name, tuple) and level is index.name: # GH 21121 : droplevel","of tests asserting things that should be true for any index subclass. Makes","= index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty)","= np.sort(not_na_vals) if na_position == \"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else:","non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm]","for level in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: #","test copy.union(subset) - need sort for unicode and string first = index.copy().set_names(fname) second","for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not index","_searchsorted_monotonic in all cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left","assert expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\")","== index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan,","index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex","first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\",","is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing,","== index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel","has no ._data\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101,","Index has only 1 level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg =","index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res","test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) if len(index) == 0: pytest.skip(","empty Index and MultiIndex\") idx = index[[0] * 5] idx_unique = index[[0]] #","searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left ==","RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else: holder = type(index)","in all cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left =","dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): # # should still fail even","sort non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)):","# non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name","in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: # GH 21121","second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname,","if not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\") if is_period_dtype(index.dtype): vals","need sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union","and level is index.name: # GH 21121 : droplevel with tuple name continue","dupes for 'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right ==","holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\",","side=\"right\") assert expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value,","(copy, deepcopy): idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy","def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 #","We test against `idx_unique`, so first we make sure it's unique # and","index) def test_set_name_methods(self, index): new_name = \"This is the new name for this","not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index and MultiIndex\") idx","index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5]","== ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left","name combinations # Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or","first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect,","# check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated)","ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert","index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\",","5] vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan","sure it's unique # and doesn't contain nans. assert idx_unique.is_unique is True try:","unions with various name combinations # Do not test MultiIndex or repeats if","but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype)","assert index.names == [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"):","= index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from","{na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that","# make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5))","for MultiIndex/IntervalIndex\") # nothing to test if the index is empty if index.empty:","test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result =","None), ], ) def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862","isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test","index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self, index): # don't test a","name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex","unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not unique_idx def","RangeIndex is unique by definition. pytest.skip(\"Skip check for empty Index, MultiIndex, and RangeIndex\")","MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates() for level in 0, index.name, None:","Index\") value = index[0] # determine the expected results (handle dupes for 'right')","check for MultiIndex\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name","is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected","= list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated = np.array([False]","== index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in","expected) msg = \"Too many levels: Index has only 1 level, not 4\"","MultiIndex\") for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not","holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n *","# MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition.","not defined for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values =","test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\" + str(i)","# them, other indices, and Series to sort differently (xref 35922) pytest.xfail(\"sort_values does","idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype ==","against `idx_unique`, so first we make sure it's unique # and doesn't contain","# GH35847 # Test intersections with various name combinations if isinstance(index, MultiIndex) or","index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first","for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values()","hold duplicates\" ) # make unique index holder = type(index) unique_values = list(set(index))","= [[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with","GH 35584. Test that sort_values works with missing values, # sort non-missing and","\"as it cannot hold duplicates\" ) if len(index) == 0: pytest.skip( \"empty index","else: index.name = \"idx\" try: # Some of these conversions cannot succeed so","pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not match index name \\(None\\)'\", ): index.droplevel(level)","pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates","is unique by definition. pytest.skip(\"Skip check for empty Index, MultiIndex, and RangeIndex\") idx","Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected =","index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection])","sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result = index_with_missing.sort_values(na_position=na_position) tm.assert_index_equal(result,","pytest.skip(\"Skip check for empty Index and MultiIndex\") idx = index[[0] * 5] idx_unique","(None, \"B\", None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname,","raise pytest.skip(\"MultiIndex has no ._data\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data)","index.rename(name, inplace=True) assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index):","index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index,","cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\")","unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected","ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else: # non-monotonic should","pytest.skip(\"Skip na-check if index cannot hold na\") if is_period_dtype(index.dtype): vals = index[[0] *","None), (None, \"B\", None), (None, None, None), ], ) def test_corner_intersect(self, index, fname,","= holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n","type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index n =","needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique,","tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped","for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg =","na_position == \"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values,","expect # them, other indices, and Series to sort differently (xref 35922) pytest.xfail(\"sort_values","match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self,","= index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty)","if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def","# Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected","index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex","(MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique","pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from","if len(index) == 0: pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates \" \"as","index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped,","check for empty Index\") value = index[0] # determine the expected results (handle","def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result","keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex","# Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique:","length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0) # rename","= index.rename(new_name, inplace=True) # should return None assert res is None assert index.name","if expected_right == 0: # all values are the same, expected_right should be","in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na:","index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect","= index else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) #","use a try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError):","dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert","is True try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in","level is index.name: # GH 21121 : droplevel with tuple name continue with","iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2]","\"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex):","MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or","(None, None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847","class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested","GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name must","index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname)","index.rename(new_name, inplace=True) # should return None assert res is None assert index.name ==","empty Index\") msg = \"Index does not support mutable operations\" with pytest.raises(TypeError, match=msg):","searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing","return if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name == index.name","string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values()","index[[0]] # We test against `idx_unique`, so first we make sure it's unique","TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH","categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") #","have duplicates unique_idx = index else: holder = type(index) unique_values = list(set(index)) unique_idx","(\"A\", None, None), (None, \"B\", None), (None, None, None), ], ) def test_corner_intersect(self,","sname, expected_name): # GH35847 # Test intersections with various name combinations if isinstance(index,","new_name assert index.names == [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError,","expected_left, expected_right = 0, (index == value).argmin() if expected_right == 0: # all","indices will get na_position kwarg as part of # synchronizing duplicate-sorting behavior, because","Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected =","import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas","index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\" + str(i) for","level=0) # rename in place just leaves tuples and other containers alone name","if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as it cannot","re import numpy as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common","new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res =","separated) # don't test a CategoricalIndex because categories change (GH 18291) if isinstance(index,","make unique index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) #","# With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message):","handled in test_multi.py\") message = \"Index.name must be a hashable type\" renamed =","assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is","repeated indices\") # test copy.intersection(subset) - need sort for unicode and string first","the new name for this index\" # don't tests a MultiIndex here (as","[\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013","not test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for","None assert index.name == new_name assert index.names == [new_name] # FIXME: dont leave","= index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in","of # synchronizing duplicate-sorting behavior, because we currently expect # them, other indices,","index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\) does not match index name \"","sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union =","np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate","that sort_values works with missing values, # sort non-missing and place missing according","\"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None, None), (None, \"B\", None), (None, None,","contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError:","string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values()","isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\") missing_count","tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)):","check for empty Index and MultiIndex\") idx = index[[0] * 5] idx_unique =","assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for","holder(unique_values) # check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(),","# 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result,","False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"],","idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\"Skip","= index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname,","0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many levels:","= index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected)","expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\")","defined for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals)","[101, \"no_int\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self,","Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re import","second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test","duplicates\" ) # make unique index holder = type(index) unique_values = list(set(index)) unique_idx","is tested separately\") # make unique index if isinstance(index, RangeIndex): # RangeIndex cannot","is the new name for this index\" # don't tests a MultiIndex here","PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self, index):","for empty Index, MultiIndex, and RangeIndex\") idx = holder([index[0]] * 5) assert idx.is_unique","pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.union(subset) - need sort for","0: pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold","duplicates unique_idx = index else: holder = type(index) unique_values = list(set(index)) unique_idx =","them, other indices, and Series to sort differently (xref 35922) pytest.xfail(\"sort_values does not","index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): #","\"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names","result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if","IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to test","== \"banana\" def test_unique(self, index): # don't test a MultiIndex here (as its","still fail even if it would be the right length # ind.set_names(\"a\") with","index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message =","expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second)","tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with pytest.raises(","vals_unique = vals[:2] if index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion but not","index): # GH17271 # not implemented for tuple searches in MultiIndex # or","if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func in (copy, deepcopy): idx_copy","level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not match","is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) if len(index)","def test_mutability(self, index): if not len(index): pytest.skip(\"Skip check for empty Index\") msg =","tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index","# FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): # # should still","tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union =","even if it would be the right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level","if it would be the right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must","@pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [","Test that sort_values works with missing values, # sort non-missing and place missing","expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second =","idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False, True]: result =","vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique","index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names ==","RangeIndex cannot have duplicates unique_idx = index else: holder = type(index) unique_values =","= index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected)","\\(wrong\\) does not match index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): #","= index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected)","this index\" # don't tests a MultiIndex here (as its tested separated) if","right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0) #","does not support mutable operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self,","index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"),","= [\"idx\" + str(i) for i in range(index.nlevels)] else: index.name = \"idx\" try:","], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not","isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested","= \"idx\" try: # Some of these conversions cannot succeed so we use","try: # Some of these conversions cannot succeed so we use a try","index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\",","def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\",","MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func in (copy, deepcopy): idx_copy = func(index)","1 level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested level","ss_left = index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\") assert","(handle dupes for 'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right","index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\")","index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values","import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas","make sure it's unique # and doesn't contain nans. assert idx_unique.is_unique is True","combinations # Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or not","None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or","we make sure it's unique # and doesn't contain nans. assert idx_unique.is_unique is","[name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip","sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated","None, None), (None, \"B\", None), (None, None, None), ], ) def test_intersect_unequal(self, index,","pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index) or","for MultiIndex\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert","tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None),","test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left","# FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm):","SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name ==","MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name,","elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value,","index type\") if na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"):","# not implemented for tuple searches in MultiIndex # or Intervals searches in","iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import","DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def","if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else: holder","does not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order","keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if","# MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for","from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd","type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated","= type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique index","Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected =","if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") #","nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError: pass","True try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False,","na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg","be true for any index subclass. Makes use of the `indices` fixture defined","# make unique index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values)","with missing values, # sort non-missing and place missing according to na_position if","empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name)","assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if","pytest.xfail(\"missing value sorting order not defined for index type\") if na_position not in","works with missing values, # sort non-missing and place missing according to na_position","cannot hold na\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT","MultiIndex, and RangeIndex\") idx = holder([index[0]] * 5) assert idx.is_unique is False assert","first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second","18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896 expected","with various name combinations # Do not test MultiIndex or repeats if isinstance(index,","expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"),","def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches in MultiIndex","type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert","level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\)","\"empty index is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" )","index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a = index b","original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name ==","pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name == index.name def","first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect,","def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with pytest.raises(TypeError,","and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like","= first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname)","if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a = index b =","expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second =","index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does","\"banana\" def test_unique(self, index): # don't test a MultiIndex here (as its tested","and Series to sort differently (xref 35922) pytest.xfail(\"sort_values does not support na_position kwarg\")","tests a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check","first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect,","holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index","side=\"left\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right == ss_right","(None, None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index,","RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self, index): #","pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as np import pytest from pandas._libs.tslibs import","any index subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\"","index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right ==","if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level","determine the expected results (handle dupes for 'right') expected_left, expected_right = 0, (index","= index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname)","not defined for index type\") if na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError,","\"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) if","= index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected)","35584. Test that sort_values works with missing values, # sort non-missing and place","for MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates() for level in 0, index.name,","is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an unexpected keyword","Test unions with various name combinations # Do not test MultiIndex or repeats","tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested","order not defined for index type\") if na_position not in [\"first\", \"last\"]: with","], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections","as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion","first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union,","(DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part of","for level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not","assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name","test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py","MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in","22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index)","is False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\",","assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and level is","\"\"\" Collection of tests asserting things that should be true for any index","a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check","idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self,","index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype","dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\" + str(i) for i",") if len(index) == 0: pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates \"","fr\"Requested level \\(wrong\\) does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError,","index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\") if is_period_dtype(index.dtype): vals = index[[0]","== ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right","# nothing to test if the index is empty if index.empty: pytest.skip(\"Skip check","MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self,","isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name must be a hashable","is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) # make","= first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname)","= index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected)","= index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype","if isinstance(index, MultiIndex): index.names = [\"idx\" + str(i) for i in range(index.nlevels)] else:","def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\" +","b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\")","intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [","\"as it cannot hold duplicates\" ) # make unique index holder = type(index)","= holder(unique_values) # check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\")","# Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected","= index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected)","tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union =","is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is",") import pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH 21115","intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first =","Index\") msg = \"Index does not support mutable operations\" with pytest.raises(TypeError, match=msg): index[0]","idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True],","and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected =","\"B\", None), (None, None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name):","unique by definition. pytest.skip(\"Skip check for empty Index, MultiIndex, and RangeIndex\") idx =","first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second","ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\") assert","== ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left = index.searchsorted(value,","5] idx_unique = index[[0]] # We test against `idx_unique`, so first we make","expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second =","cannot succeed so we use a try / except result = index.astype(dtype) except","not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates.","copy.intersection(subset) - need sort for unicode and string first = index.copy().set_names(fname) second =","holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested","isinstance(index, MultiIndex): index.names = [\"idx\" + str(i) for i in range(index.nlevels)] else: index.name","index else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check","pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as","test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip","= \"This is the new name for this index\" # don't tests a","= i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\"Skip check for","(None, None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name): # GH","index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented","= index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right","try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if","dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype","[None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices","5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] =","# RangeIndex is unique by definition. pytest.skip(\"Skip check for empty Index, MultiIndex, and","GH 9943 9862 # Test unions with various name combinations # Do not","expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex):","True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected)","Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected =","= index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] *","= first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\",","test_unique(self, index): # don't test a MultiIndex here (as its tested separated) #","MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make unique index if isinstance(index, RangeIndex): #","union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first =","rename in place just leaves tuples and other containers alone name = (\"A\",","duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested","pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex,","so we use a try / except result = index.astype(dtype) except (ValueError, TypeError,","defined for index type\") if na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid","\"no_int\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index,","MultiIndex or repeated indices\") # test copy.union(subset) - need sort for unicode and","value = index[0] # determine the expected results (handle dupes for 'right') expected_left,","make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx =","= np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result = index_with_missing.sort_values(na_position=na_position) tm.assert_index_equal(result, expected)","test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for","expected_right == 0: # all values are the same, expected_right should be length","from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing","1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values","empty Index\") value = index[0] # determine the expected results (handle dupes for","value).argmin() if expected_right == 0: # all values are the same, expected_right should","\"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with missing","pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import","definition. pytest.skip(\"Skip check for empty Index, MultiIndex, and RangeIndex\") idx = holder([index[0]] *","assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], )","union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first =","= index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected)","empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name)","test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message","does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def","= iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique =","sorting order not defined for index type\") if na_position not in [\"first\", \"last\"]:","leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): # # should still fail even if","is empty if index.empty: pytest.skip(\"Skip check for empty Index\") value = index[0] #","for i in range(index.nlevels)] else: index.name = \"idx\" try: # Some of these","\"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] *","MultiIndex): pytest.skip(\"Skip check for empty Index and MultiIndex\") idx = index[[0] * 5]","droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]:","= index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\")","* 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = (","None), (\"A\", None, None), (None, \"B\", None), (None, None, None), ], ) def","(xref 35922) pytest.xfail(\"sort_values does not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing","index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\"m\",","index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) #","# Test unions with various name combinations # Do not test MultiIndex or","doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except","or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.union(subset) -","match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584.","\"B\", None), (None, None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name):","# GH 35584. Test that sort_values works with missing values, # sort non-missing","else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result = index_with_missing.sort_values(na_position=na_position)","index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index()","MultiIndex here (as its tested separated) # don't test a CategoricalIndex because categories","index): # don't test a MultiIndex here (as its tested separated) # don't","separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\"Skip check for","FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): # # should still fail","def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex):","elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals =","None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if","def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make unique","vals[:2] if index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion but not period_dtype, as","index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals","match index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if","TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part of # synchronizing","MultiIndex or repeated indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname)","== 0: pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates \" \"as it cannot","in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) if len(index) == 0:","MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.intersection(copy)","# test copy.intersection(subset) - need sort for unicode and string first = index.copy().set_names(fname)","): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled","== original_name res = index.rename(new_name, inplace=True) # should return None assert res is","or repeated indices\") # test copy.union(subset) - need sort for unicode and string","= first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\",","Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected =","pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a = index b = type(a)(a) tm.assert_equal(a._data,","here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name","or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.intersection(copy) first","pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH","def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index,","@pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like","expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second =","only 1 level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested","new name for this index\" # don't tests a MultiIndex here (as its","first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect,","test_multi.py\") message = \"Index.name must be a hashable type\" renamed = [[\"1\"]] #","with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name == index.name",") # make unique index holder = type(index) unique_values = list(set(index)) unique_idx =","with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0) # rename in place just","side=\"left\") def test_pickle(self, index): original_name, index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert","unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index","RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\"","(\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None, None), (None, \"B\", None), (None,","list(set(index)) unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection =","None), (None, \"B\", None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname,","in range(index.nlevels)] else: index.name = \"idx\" try: # Some of these conversions cannot","index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) #","empty Index, MultiIndex, and RangeIndex\") idx = holder([index[0]] * 5) assert idx.is_unique is","combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\")","\" \"as it cannot hold duplicates\" ) if len(index) == 0: pytest.skip( \"empty","MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\") missing_count = np.sum(index_with_missing.isna())","pytest.skip(\"Skip check for empty Index, MultiIndex, and RangeIndex\") idx = holder([index[0]] * 5)","= index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy)","20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name must be","[new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): # # should","index, fname, sname, expected_name): # GH35847 # Test intersections with various name combinations","( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class","# don't test a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex,","type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert","if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name == index.name def","assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False, True]: result","msg = r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def","expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left","an unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder =","match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index):","expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx)","== index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with","True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip na-check","# Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected","\"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names =","match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index,","# test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert","elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\")","assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self, index):","with pytest.raises(TypeError, match=\"list-like\"): # # should still fail even if it would be","many levels: Index has only 1 level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3)","expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second =","in place just leaves tuples and other containers alone name = (\"A\", \"B\")","= index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index):","(\"A\", None, None), (None, \"B\", None), (None, None, None), ], ) def test_union_unequal(self,","index.names = [\"idx\" + str(i) for i in range(index.nlevels)] else: index.name = \"idx\"","nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname,","assert index.name == new_name assert index.names == [new_name] # FIXME: dont leave commented-out","= \"Index.name must be a hashable type\" renamed = [[\"1\"]] # With .rename()","== 0: # all values are the same, expected_right should be length expected_right","is False except NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna)","not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self,","idx_unique = index[[0]] # We test against `idx_unique`, so first we make sure","these conversions cannot succeed so we use a try / except result =","False except NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result,","value sorting order not defined for index type\") if na_position not in [\"first\",","i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique =","def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get","35922) pytest.xfail(\"sort_values does not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value","for tuple searches in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index,","raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name = index.name, \"foo\"","import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func in","idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna","datetime-like indices will get na_position kwarg as part of # synchronizing duplicate-sorting behavior,","support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined","expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second)","expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left =","if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: #","= index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right","def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\")","MultiIndex\") idx = index[[0] * 5] idx_unique = index[[0]] # We test against","# rename in place just leaves tuples and other containers alone name =","be None\"): index.set_names(\"a\", level=0) # rename in place just leaves tuples and other","things that should be true for any index subclass. Makes use of the","func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert","tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union =","not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \"first\": sorted_values = np.concatenate([[None]","isinstance(index.name, tuple) and level is index.name: # GH 21121 : droplevel with tuple","pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index)","unique_idx) # validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index):","isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name = index.name new_ind = index.set_names([new_name]) assert","tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation for","first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second","index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.union(copy) first = index.copy().set_names(fname)","# GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name","5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\"m\", \"M\"]: #","pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans:","# make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx","in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip","len(index): pytest.skip(\"Skip check for empty Index\") msg = \"Index does not support mutable","test _searchsorted_monotonic in all cases # test searchsorted only for increasing if index.is_monotonic_increasing:","isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\") if","various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or","indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second)","* 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\"m\", \"M\"]:","pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\) does not match index","index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\")","expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right =","intersections with various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for","= index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else: # non-monotonic should raise. with","just leaves tuples and other containers alone name = (\"A\", \"B\") index.rename(name, inplace=True)","== [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex):","else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on","* len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow","tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\"Skip check for empty Index, MultiIndex,","first we make sure it's unique # and doesn't contain nans. assert idx_unique.is_unique","pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no","CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates() for level","= index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected)","np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \"first\": sorted_values =","with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name = index.name, \"foo\" unpickled","change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH","index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def","index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex): pytest.skip(","idx = index[[0] * 5] idx_unique = index[[0]] # We test against `idx_unique`,","\" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested","for 'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right == 0:","intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first =",".set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex","Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected =","dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result","index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested","= index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name","\"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if","unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected","needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0]","check for empty Index\") msg = \"Index does not support mutable operations\" with","unique # and doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans","if index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion but not period_dtype, as above","index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) #","( fr\"Requested level \\(wrong\\) does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with","(as its tested separated) # don't test a CategoricalIndex because categories change (GH","expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else: #","index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index,","= index[[0]] # We test against `idx_unique`, so first we make sure it's","expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second)","index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self,","import re import numpy as np import pytest from pandas._libs.tslibs import iNaT from","@pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works","None), (None, \"B\", None), (None, None, None), ], ) def test_union_unequal(self, index, fname,","tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\"Skip check","copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func in (copy,","index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many levels: Index","in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def","new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self, index): # don't","assert result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): #","isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold","index cannot hold na\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] =","name continue with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError,","(\"A\", None, None), (None, \"B\", None), (None, None, None), ], ) def test_corner_union(self,","expected_right = 0, (index == value).argmin() if expected_right == 0: # all values","various name combinations # Do not test MultiIndex or repeats if isinstance(index, MultiIndex)","\"Too many levels: Index has only 1 level, not 4\" with pytest.raises(IndexError, match=msg):","test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections with various name","sorted_values = np.sort(not_na_vals) if na_position == \"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values])","a MultiIndex here (as its tested separated) # don't test a CategoricalIndex because","leaves tuples and other containers alone name = (\"A\", \"B\") index.rename(name, inplace=True) assert","= idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if index","expected_right = len(index) # test _searchsorted_monotonic in all cases # test searchsorted only","= index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate","be a hashable type\" renamed = [[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message):","index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res = index.rename(new_name, inplace=True)","= index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res = index.rename(new_name,","[ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None, None), (None, \"B\", None),","index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first","import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm","len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is","and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected =","mutable operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name","inplace=True) assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index): from","None), (None, None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): #","pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index,","= index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self, index): # don't test","func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not index assert","idx = holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is True","not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\") if is_period_dtype(index.dtype): vals =","if index.empty: pytest.skip(\"Skip check for empty Index\") value = index[0] # determine the","tuples and other containers alone name = (\"A\", \"B\") index.rename(name, inplace=True) assert index.name","synchronizing duplicate-sorting behavior, because we currently expect # them, other indices, and Series","if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name must be a","in test_multi.py\") message = \"Index.name must be a hashable type\" renamed = [[\"1\"]]","message = \"Index.name must be a hashable type\" renamed = [[\"1\"]] # With","argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not","else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray","if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value,","must be None\"): index.set_names(\"a\", level=0) # rename in place just leaves tuples and","if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to test if","(None, \"B\", None), (None, None, None), ], ) def test_corner_intersect(self, index, fname, sname,","assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\",","hashable type\" renamed = [[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) #","None assert res is None assert index.name == new_name assert index.names == [new_name]","original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if","it cannot hold duplicates\" ) # make unique index holder = type(index) unique_values","index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \"first\": sorted_values = np.concatenate([[None] * missing_count,","True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index,","in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\"Skip check for empty","pytest.skip(\"Skip check for MultiIndex\") for func in (copy, deepcopy): idx_copy = func(index) assert","unique index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make","= index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many levels: Index has only 1","vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0] *",") def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique:","MultiIndex/IntervalIndex\") # nothing to test if the index is empty if index.empty: pytest.skip(\"Skip","new_name assert index.name == original_name res = index.rename(new_name, inplace=True) # should return None","assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else:","isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self,","b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple sequence","check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped","pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to test if the index is","a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for","== \"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None]","# test copy.union(subset) - need sort for unicode and string first = index.copy().set_names(fname)","Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected =","= index[[0] * 5] idx_unique = index[[0]] # We test against `idx_unique`, so","index): if not len(index): pytest.skip(\"Skip check for empty Index\") msg = \"Index does","index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\",","isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index and MultiIndex\") idx = index[[0] *","not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an unexpected keyword argument\"","tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def","intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first =","def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with missing values,","RangeIndex\") idx = holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is","tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\"Skip check for empty Index\")","index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make unique index if","# datetime-like indices will get na_position kwarg as part of # synchronizing duplicate-sorting","msg = \"Index does not support mutable operations\" with pytest.raises(TypeError, match=msg): index[0] =","to sort differently (xref 35922) pytest.xfail(\"sort_values does not support na_position kwarg\") elif isinstance(index_with_missing,","TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately","assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left ==","level \\(wrong\\) does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg):","level \\(wrong\\) does not match index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index):","\"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): #","not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.intersection(copy) first =","None, None), (None, \"B\", None), (None, None, None), ], ) def test_corner_union(self, index,","# Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]:","pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\"","MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\"Skip","result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not","copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name)","should be true for any index subclass. Makes use of the `indices` fixture","(\"A\", None, None), (None, \"B\", None), (None, None, None), ], ) def test_intersect_unequal(self,","test against `idx_unique`, so first we make sure it's unique # and doesn't","part of # synchronizing duplicate-sorting behavior, because we currently expect # them, other","= index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy)","or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated","duplicate-sorting behavior, because we currently expect # them, other indices, and Series to","not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.union(copy) first =","= \"Index does not support mutable operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0]","= index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype ==","NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) #","str(i) for i in range(index.nlevels)] else: index.name = \"idx\" try: # Some of","test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position","= first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname)","pytest.raises(TypeError, match=\"list-like\"): # # should still fail even if it would be the","if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals","levels: Index has only 1 level, not 4\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg","index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first","len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. #","name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated","# determine the expected results (handle dupes for 'right') expected_left, expected_right = 0,","= np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) #","assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an","r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index):","first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second","test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") if isinstance(index, RangeIndex):","# Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) #","index): msg = r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True)","test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for","index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect","and MultiIndex\") idx = index[[0] * 5] idx_unique = index[[0]] # We test","it would be the right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be","import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex,","index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated","the expected results (handle dupes for 'right') expected_left, expected_right = 0, (index ==","first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second","if the index is empty if index.empty: pytest.skip(\"Skip check for empty Index\") value","index subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import","not len(index): pytest.skip(\"Skip check for empty Index\") msg = \"Index does not support","repeated indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect =","for empty Index and MultiIndex\") idx = index[[0] * 5] idx_unique = index[[0]]","def test_pickle(self, index): original_name, index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled)","int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated =","index[0] = index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index):","- need sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname)","index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) #","TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else: assert","# Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected","= func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\")","index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None,","GH17271 # not implemented for tuple searches in MultiIndex # or Intervals searches","first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\",","def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel()","does not match index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH","MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty","== [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): # #","index.name: # GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level)","import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex,","Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not","PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part of #","= index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left","index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.union(subset) - need sort","None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test","tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex):","None), (None, None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if","# nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\") if","= (\"A\", \"B\") index.rename(name, inplace=True) assert index.name == name assert index.names == [name]","union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [","\"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position):","empty if index.empty: pytest.skip(\"Skip check for empty Index\") value = index[0] # determine","dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique","and other containers alone name = (\"A\", \"B\") index.rename(name, inplace=True) assert index.name ==","9862 # Test unions with various name combinations # Do not test MultiIndex","currently expect # them, other indices, and Series to sort differently (xref 35922)","= first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname)","expected_name): # GH 9943 9862 # Test unions with various name combinations #","with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not match index name \\(None\\)'\", ):","21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in","or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index and MultiIndex\") idx = index[[0]","index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize(","name for this index\" # don't tests a MultiIndex here (as its tested","pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second","len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index and MultiIndex\") idx =","index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize(","KeyError, match=r\"'Requested level \\(wrong\\) does not match index name \\(None\\)'\", ): index.droplevel(level) def","not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def","pytest.skip(\"Separate expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name","is index.name: # GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError):","MultiIndex or repeated indices\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname)","None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many levels: Index has","renamed = [[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names()",") def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\"","missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result","= holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize(","# GH 17896 expected = index.drop_duplicates() for level in 0, index.name, None: result","https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\" + str(i) for i in range(index.nlevels)]","test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 # Test unions with","unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if","= index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\",","= index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname)","unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated =","don't test a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)):","first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union,","ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left =","= type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True","index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or isinstance(index,","def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections with various","# Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected","not match index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527","# sort non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex,","index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else:","np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected =","for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if","GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level","for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]:","else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name,","= type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately","index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271","assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex","for any index subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py.","match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\")","index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index,","= holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep),","# We test against `idx_unique`, so first we make sure it's unique #","copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name)","expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing:","copy.union(subset) - need sort for unicode and string first = index.copy().set_names(fname) second =","original_name res = index.rename(new_name, inplace=True) # should return None assert res is None","match=msg): index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\) does not match index name","(None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index,","\\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex","tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect =","@pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def","pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\)","second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test","# ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0) # rename in","except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names","result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an unexpected","expected_name): # GH35847 # Test intersections with various name combinations if isinstance(index, MultiIndex)","Some of these conversions cannot succeed so we use a try / except","idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values )","expected results (handle dupes for 'right') expected_left, expected_right = 0, (index == value).argmin()","is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index,","for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if","copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name)","index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\",","ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\")","ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing,","expected) def test_mutability(self, index): if not len(index): pytest.skip(\"Skip check for empty Index\") msg","assert new_ind.name == new_name assert index.name == original_name res = index.rename(new_name, inplace=True) #","# don't tests a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex):","expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\")","a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning","\"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not match index name","GH35847 # Test intersections with various name combinations if isinstance(index, MultiIndex) or not","None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name): # GH 9943","== new_name assert index.names == [new_name] # FIXME: dont leave commented-out # with","np.sort(not_na_vals) if na_position == \"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values","all values are the same, expected_right should be length expected_right = len(index) #","indices\") # test copy.union(subset) - need sort for unicode and string first =","tests asserting things that should be true for any index subclass. Makes use","index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first","GH 17896 expected = index.drop_duplicates() for level in 0, index.name, None: result =","\" \"as it cannot hold duplicates\" ) # make unique index holder =","index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union","kwarg as part of # synchronizing duplicate-sorting behavior, because we currently expect #","it's unique # and doesn't contain nans. assert idx_unique.is_unique is True try: assert","== ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right = index.searchsorted(value,","duplicates\" ) if len(index) == 0: pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates","index.name == new_name assert index.names == [new_name] # FIXME: dont leave commented-out #","to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position","None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 #","._data\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) #","tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold","all cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value,","expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def","unique_idx = index else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values)","index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple","place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices","make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx","from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import (","needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex,","tm.assert_index_equal(result, expected) msg = \"Too many levels: Index has only 1 level, not","unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx)","* 5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\",","index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position","tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self,","pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.intersection(subset) - need sort for","subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re","indices\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second)","test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) # make unique index holder","the same, expected_right should be length expected_right = len(index) # test _searchsorted_monotonic in","test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and","pytest.skip(\"Skip check for MultiIndex\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name ==","tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \"This is the new name for","if index cannot hold na\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0]","result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert","sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count])","assert index.name == original_name res = index.rename(new_name, inplace=True) # should return None assert","repeated indices\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union =","expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\",","21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for","idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self, index): #","with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self,","for empty Index\") msg = \"Index does not support mutable operations\" with pytest.raises(TypeError,","of these conversions cannot succeed so we use a try / except result","def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not","MultiIndex): assert result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self, index):","from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for","= pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else:","vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0]","be the right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\",","sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None, None), (None,","is_period_dtype, needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex,","test if the index is empty if index.empty: pytest.skip(\"Skip check for empty Index\")","Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if","expected_right should be length expected_right = len(index) # test _searchsorted_monotonic in all cases","separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as it","= unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not unique_idx","match=r\"'Requested level \\(wrong\\) does not match index name \\(None\\)'\", ): index.droplevel(level) def test_constructor_non_hashable_name(self,","except NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique)","@pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None,","index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): #","NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name","same, expected_right should be length expected_right = len(index) # test _searchsorted_monotonic in all","non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): #","None), (None, None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name): #","def test_unique(self, index): # don't test a MultiIndex here (as its tested separated)","cannot hold duplicates\" ) if len(index) == 0: pytest.skip( \"empty index is tested","its tested separated) # don't test a CategoricalIndex because categories change (GH 18291)","pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as","empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name)","True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in","i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if","def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a =","expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"),","len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy","because we currently expect # them, other indices, and Series to sort differently","(\"A\", \"B\", None), (\"A\", None, None), (None, \"B\", None), (None, None, None), ],","don't tests a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip","index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\"Separate expectation","result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many levels: Index has only","pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name = index.name, \"foo\" unpickled =","idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot",": droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\",","index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\"multiindex handled in","pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to test if the index is empty","indices\") # test copy.intersection(subset) - need sort for unicode and string first =","separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex","not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.intersection(subset) - need","length expected_right = len(index) # test _searchsorted_monotonic in all cases # test searchsorted","test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): #","ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if","with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): #","index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name:","fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as np import pytest","tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple sequence of nd indexing","pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" )","isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else: holder =","ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right =","hold duplicates\" ) if len(index) == 0: pytest.skip( \"empty index is tested in","pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep),","isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part","np.nan vals_unique = vals[:2] if index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion but","deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex,","= np.nan vals_unique = vals[:2] if index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion","= index[0] # determine the expected results (handle dupes for 'right') expected_left, expected_right","Test intersections with various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not","list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated = np.array([False] *","# with pytest.raises(TypeError, match=\"list-like\"): # # should still fail even if it would","and RangeIndex\") idx = holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates","not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.union(subset) - need","on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\"bool\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped =","not implemented for tuple searches in MultiIndex # or Intervals searches in IntervalIndex","# validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg","union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first =","assert expected_left == ss_left ss_right = index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif","expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is","index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def","side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right","alone name = (\"A\", \"B\") index.rename(name, inplace=True) assert index.name == name assert index.names","index.set_names(\"a\", level=0) # rename in place just leaves tuples and other containers alone","or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.union(copy) first","pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.union(copy) first = index.copy().set_names(fname) second","don't test a MultiIndex here (as its tested separated) # don't test a","tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect =","in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not match index","= index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): #","\"B\") index.rename(name, inplace=True) assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self,","index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index,","for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right","only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left","return None assert res is None assert index.name == new_name assert index.names ==","\"Index does not support mutable operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def","# # should still fail even if it would be the right length","or repeated indices\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union","with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex,","test_set_name_methods(self, index): new_name = \"This is the new name for this index\" #","= index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \"first\": sorted_values = np.concatenate([[None] *","test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex","0, (index == value).argmin() if expected_right == 0: # all values are the","first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union,","= type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple sequence of","fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or","= index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected)","index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union","cannot hold duplicates\" ) # make unique index holder = type(index) unique_values =","vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is","match=\"list-like\"): # # should still fail even if it would be the right","import numpy as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import","(None, \"B\", None), (None, None, None), ], ) def test_union_unequal(self, index, fname, sname,","# GH 9943 9862 # Test unions with various name combinations # Do","isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is","= holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested","numpy as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype,","type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"]) # FutureWarning from non-tuple sequence of nd","separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index and","\"B\", None), (None, None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name):","hold na\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif","test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not","if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make unique index if isinstance(index,","len(index) == 0: pytest.skip( \"empty index is tested in test_drop_duplicates_no_duplicates \" \"as it","= index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected)","tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \" \"as","kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index","try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False, True]:","index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.intersection(subset) - need sort","# or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for","for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values()","test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with missing values, #","None\"): index.set_names(\"a\", level=0) # rename in place just leaves tuples and other containers","FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with","union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [","= vals[:2] if index.dtype.kind in [\"m\", \"M\"]: # i.e. needs_i8_conversion but not period_dtype,","holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated)","tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex):","= tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index,","# should return None assert res is None assert index.name == new_name assert","\"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index,","a try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return","[idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index):","tested separately\") # make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have","= first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\",","copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name)","msg = ( fr\"Requested level \\(wrong\\) does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\"","second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test","in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index)",") tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped)","index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a","with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\",","index, fname, sname, expected_name): # GH 9943 9862 # Test unions with various","np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import","increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right =","index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches in","= \"Too many levels: Index has only 1 level, not 4\" with pytest.raises(IndexError,","for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \"This","== ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else: # non-monotonic","[idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def","na_position): # GH 35584. Test that sort_values works with missing values, # sort","not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not","assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy","first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union,","i in range(index.nlevels)] else: index.name = \"idx\" try: # Some of these conversions","= np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected","is tested separately\") if isinstance(index, RangeIndex): pytest.skip( \"RangeIndex is tested in test_drop_duplicates_no_duplicates \"","so first we make sure it's unique # and doesn't contain nans. assert","new_copy.name == \"banana\" def test_unique(self, index): # don't test a MultiIndex here (as","unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n,","name=\"banana\") assert new_copy.name == \"banana\" def test_unique(self, index): # don't test a MultiIndex","isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test","or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex","indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\",","expectation for MultiIndex\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name =","= index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names","\"A\"), (\"A\", \"B\", None), (\"A\", None, None), (None, \"B\", None), (None, None, None),","copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func","pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals","ss_right = index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value,","index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize(","true for any index subclass. Makes use of the `indices` fixture defined in","(\"A\", \"B\") index.rename(name, inplace=True) assert index.name == name assert index.names == [name] def","second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname,","index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left ==","index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) #","= index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname,","result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\"Skip check","(GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896","with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\"Requested level \\(wrong\\) does not match","missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will","# RangeIndex cannot have duplicates unique_idx = index else: holder = type(index) unique_values","for this index\" # don't tests a MultiIndex here (as its tested separated)","CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for","match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or","tuple) and level is index.name: # GH 21121 : droplevel with tuple name","index is empty if index.empty: pytest.skip(\"Skip check for empty Index\") value = index[0]","MultiIndex or repeated indices\") # test copy.intersection(subset) - need sort for unicode and","MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name","= len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated","searches in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)):","\\(wrong\\) does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\")","is None assert index.name == new_name assert index.names == [new_name] # FIXME: dont","tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None),","type\" renamed = [[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With","as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals)","test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for","index): original_name, index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name =","test_drop_duplicates_inplace(self, index): msg = r\"drop_duplicates\\(\\) got an unexpected keyword argument\" with pytest.raises(TypeError, match=msg):","[\"m\", \"M\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals,","index.name == original_name res = index.rename(new_name, inplace=True) # should return None assert res","n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) #","empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name)","type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in:","index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return","== index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches","behavior, because we currently expect # them, other indices, and Series to sort","# should still fail even if it would be the right length #","except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex):","def test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)):","in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many","test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make unique index","# synchronizing duplicate-sorting behavior, because we currently expect # them, other indices, and","separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name = index.name new_ind =","i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\"Skip check for empty","msg = \"Too many levels: Index has only 1 level, not 4\" with","must be a hashable type\" renamed = [[\"1\"]] # With .rename() with pytest.raises(TypeError,","= index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname)","if na_position == \"first\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values =","na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for","def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not","sorting order not defined for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values","separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name,","GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index)","side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert expected_left","index.names == [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\"list-like\"): #","pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None),","isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in","tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) # make unique","= 0, (index == value).argmin() if expected_right == 0: # all values are","pytest.xfail(\"missing value sorting order not defined for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals","tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect =","index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex,","because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\")","= np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately","MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\")","from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError):","[\"idx\" + str(i) for i in range(index.nlevels)] else: index.name = \"idx\" try: #","index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning","expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped","na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg","not support mutable operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index):","0: # all values are the same, expected_right should be length expected_right =","isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has no ._data\") a = index b = type(a)(a)","( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep))","tm class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): #","], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not","by definition. pytest.skip(\"Skip check for empty Index, MultiIndex, and RangeIndex\") idx = holder([index[0]]","idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype","expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second)","# Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected","fail even if it would be the right length # ind.set_names(\"a\") with pytest.raises(ValueError,","test copy.intersection(subset) - need sort for unicode and string first = index.copy().set_names(fname) second","= ( fr\"Requested level \\(wrong\\) does not match index name \" fr\"\\({re.escape(index.name.__repr__())}\\)\" )","of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as","in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not","operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name ==","Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected =","= first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if",") def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 # Test","None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex)","in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) # make unique index",") def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections with","# https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\"idx\" + str(i) for i in","index is tested in test_drop_duplicates_no_duplicates \" \"as it cannot hold duplicates\" ) #","second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test","ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right else: # non-monotonic should raise.","np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated","index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: # GH 21121 :","index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union","returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position):","* 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0]","values, # sort non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex,","we use a try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError,","== ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self,","CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon:","expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result =","index._searchsorted_monotonic(value, side=\"left\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right ==","= index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \"This is the new","separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately","second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test","need sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect","will get na_position kwarg as part of # synchronizing duplicate-sorting behavior, because we","* 5] idx_unique = index[[0]] # We test against `idx_unique`, so first we","= type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index n","side=\"right\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left == ss_left","\"Index.name must be a hashable type\" renamed = [[\"1\"]] # With .rename() with","would be the right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"):","isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make unique index if isinstance(index, RangeIndex):","inplace=True) # should return None assert res is None assert index.name == new_name","= index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname)","vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan =","if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check for empty Index and MultiIndex\")","isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip check for MultiIndex/CategoricalIndex\") # GH 17896 expected = index.drop_duplicates()","first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index,","for MultiIndex or repeated indices\") # Test copy.union(copy) first = index.copy().set_names(fname) second =","# Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected","unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index)","index[[0] * 5] idx_unique = index[[0]] # We test against `idx_unique`, so first","in [\"m\", \"M\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals =","test a MultiIndex here (as its tested separated) # don't test a CategoricalIndex","# GH17271 # not implemented for tuple searches in MultiIndex # or Intervals","na\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype):","second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self,","17896 expected = index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level)","non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name =","MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check","idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip na-check if index cannot hold na\")","idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\",","in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna)","or repeated indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect","idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i","* 5] vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0] =","\"idx\" try: # Some of these conversions cannot succeed so we use a","get na_position kwarg as part of # synchronizing duplicate-sorting behavior, because we currently","unique_idx = holder(unique_values) # check on unique index expected_duplicated = np.array([False] * len(unique_idx),","new_ind.name == new_name assert index.name == original_name res = index.rename(new_name, inplace=True) # should","name = (\"A\", \"B\") index.rename(name, inplace=True) assert index.name == name assert index.names ==","expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self,","(index == value).argmin() if expected_right == 0: # all values are the same,","\"This is the new name for this index\" # don't tests a MultiIndex","value sorting order not defined for index type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals =","deepcopy if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") for func in (copy, deepcopy):","pytest.xfail(\"sort_values does not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting","= index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname)","with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index)","repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\")","for MultiIndex or repeated indices\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second =","sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect =","index.unique(level=level) tm.assert_index_equal(result, expected) msg = \"Too many levels: Index has only 1 level,","itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\",","expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second)","# GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"])","Index and MultiIndex\") idx = index[[0] * 5] idx_unique = index[[0]] # We","idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True,","we currently expect # them, other indices, and Series to sort differently (xref","sort differently (xref 35922) pytest.xfail(\"sort_values does not support na_position kwarg\") elif isinstance(index_with_missing, (CategoricalIndex,","first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\",","/ except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index,","@pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self, index, dtype):","support mutable operations\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert","index\" # don't tests a MultiIndex here (as its tested separated) if isinstance(index,","sequence of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize(","index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first","for MultiIndex\") for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is","\"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\", None, None),","\"\"\" import re import numpy as np import pytest from pandas._libs.tslibs import iNaT","index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0]","with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\"MultiIndex has","index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): #","index): # MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\"Skip check","use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy","9943 9862 # Test unions with various name combinations # Do not test","vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT","and doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False","index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index)","Series to sort differently (xref 35922) pytest.xfail(\"sort_values does not support na_position kwarg\") elif","= type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique)","pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex,","the right length # ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0)","separately\") # make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates","index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\", None), (\"A\",","should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\"left\") def test_pickle(self, index): original_name, index.name = index.name,","ind.set_names(\"a\") with pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0) # rename in place","other containers alone name = (\"A\", \"B\") index.rename(name, inplace=True) assert index.name == name","na-check if index cannot hold na\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data","type\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position ==","\"B\", None), (\"A\", None, None), (None, \"B\", None), (None, None, None), ], )","(ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else:","vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\"m\", \"M\"]: # i.e.","index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) #","5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\",","assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\"left\") assert expected_left == ss_left ss_right","(as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name =","check for MultiIndex\") for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy","# Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected","result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \"This is the","return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and level","with various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex","first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect,","index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\",","pytest.raises(ValueError, match=\"Level must be None\"): index.set_names(\"a\", level=0) # rename in place just leaves","[[\"1\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError,","Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if","None), (None, \"B\", None), (None, None, None), ], ) def test_corner_union(self, index, fname,","not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\", [\"first\", \"last\"])","test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\",","match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if","`indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as np import","fname, sname, expected_name): # GH35847 # Test intersections with various name combinations if","# tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\"Skip check for empty Index,","# With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex):","index.searchsorted(value, side=\"right\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\"left\") assert","expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is","got an unexpected keyword argument\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder","nothing to test if the index is empty if index.empty: pytest.skip(\"Skip check for","'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right == 0: #","MultiIndex): index.names = [\"idx\" + str(i) for i in range(index.nlevels)] else: index.name =","MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.intersection(subset)","sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result =","commented-out # with pytest.raises(TypeError, match=\"list-like\"): # # should still fail even if it","of nd indexing @pytest.mark.filterwarnings(\"ignore::FutureWarning\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \"fname,","== new_name assert index.name == original_name res = index.rename(new_name, inplace=True) # should return","GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\", [None, \"middle\"]) def","# Test intersections with various name combinations if isinstance(index, MultiIndex) or not index.is_unique:","conversions cannot succeed so we use a try / except result = index.astype(dtype)","if not len(index): pytest.skip(\"Skip check for empty Index\") msg = \"Index does not","= index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty)","RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by","# test _searchsorted_monotonic in all cases # test searchsorted only for increasing if","None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or","be length expected_right = len(index) # test _searchsorted_monotonic in all cases # test","to test if the index is empty if index.empty: pytest.skip(\"Skip check for empty","in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as np import pytest from pandas._libs.tslibs","index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import","result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated","indices, and Series to sort differently (xref 35922) pytest.xfail(\"sort_values does not support na_position","\"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep):","[\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level \\(wrong\\) does not match index name \\(None\\)'\",","place just leaves tuples and other containers alone name = (\"A\", \"B\") index.rename(name,","\"M\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype)","* missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values)","duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx =","None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex)","# Some of these conversions cannot succeed so we use a try /","name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy","new_name = \"This is the new name for this index\" # don't tests","result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956","defined in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as np import pytest from","idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name ==","for MultiIndex or repeated indices\") # test copy.union(subset) - need sort for unicode","vals = index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind","[False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\"Skip","+ str(i) for i in range(index.nlevels)] else: index.name = \"idx\" try: # Some","# and doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is","with pytest.raises(ValueError): index.droplevel(level) for level in \"wrong\", [\"wrong\"]: with pytest.raises( KeyError, match=r\"'Requested level","With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed)","assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\"right\") assert expected_right == ssm_right ss_left","as tm class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex):","with pytest.raises(KeyError, match=msg): index.unique(level=\"wrong\") def test_get_unique_index(self, index): # MultiIndex tested separately if not","test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches in MultiIndex #","= len(index) # test _searchsorted_monotonic in all cases # test searchsorted only for","expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second)","range(index.nlevels)] else: index.name = \"idx\" try: # Some of these conversions cannot succeed","test a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\"Skip","check for MultiIndex/IntervalIndex\") # nothing to test if the index is empty if","MultiIndex) or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # Test copy.union(copy)","= index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname,","test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\"na_position\",","if isinstance(index.name, tuple) and level is index.name: # GH 21121 : droplevel with","in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") # nothing to","na_position kwarg as part of # synchronizing duplicate-sorting behavior, because we currently expect","None, None), (None, \"B\", None), (None, None, None), ], ) def test_corner_intersect(self, index,","index[0] # determine the expected results (handle dupes for 'right') expected_left, expected_right =","above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan","expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is tested separately\") # make","zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result,","original_name, index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name","the `indices` fixture defined in pandas/tests/indexes/conftest.py. \"\"\" import re import numpy as np","= index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\",","= index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname)","match=\"Level must be None\"): index.set_names(\"a\", level=0) # rename in place just leaves tuples","= first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname)","is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def test_astype_preserves_name(self,","index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning):","not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan","def test_set_name_methods(self, index): new_name = \"This is the new name for this index\"","dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not","here (as its tested separated) # don't test a CategoricalIndex because categories change","idx.has_duplicates is True @pytest.mark.parametrize( \"dtype\", [\"int64\", \"uint64\", \"float64\", \"category\", \"datetime64[ns]\", \"timedelta64[ns]\"], ) def","With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise","= list(set(index)) unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection","import pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH 21115 if","index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple","len(index) # test _searchsorted_monotonic in all cases # test searchsorted only for increasing","is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals =","Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\"Skip check for MultiIndex/IntervalIndex\") #","index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan,","index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\"MultiIndex is","if na_position not in [\"first\", \"last\"]: with pytest.raises(ValueError, match=f\"invalid na_position: {na_position}\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\"na_position\",","index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]):","= index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty)","[\"first\", \"last\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with","index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \"fname, sname, expected_name\", [ (\"A\", \"A\", \"A\"), (\"A\", \"B\",","for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index):","(CategoricalIndex, MultiIndex)): pytest.xfail(\"missing value sorting order not defined for index type\") missing_count =","level in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: # GH","if isinstance(index, MultiIndex): pytest.skip(\"Skip check for MultiIndex\") original_name = index.name new_ind = index.set_names([new_name])","no ._data\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\"itm\", [101, \"no_int\"])","MultiIndex): pytest.skip(\"multiindex handled in test_multi.py\") message = \"Index.name must be a hashable type\"","test_pickle(self, index): original_name, index.name = index.name, \"foo\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name","or not index.is_unique: pytest.skip(\"Not for MultiIndex or repeated indices\") # test copy.intersection(subset) -","sname, expected_name): # GH 9943 9862 # Test unions with various name combinations","containers alone name = (\"A\", \"B\") index.rename(name, inplace=True) assert index.name == name assert"],"string":"[\n \"is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\"\",\n \"assert new_copy.name == \\\"banana\\\" def test_unique(self, index): # don't test a MultiIndex here\",\n \"level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too\",\n \"check for empty Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]] * 5) assert\",\n \"(MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates() for\",\n \"`idx_unique`, so first we make sure it's unique # and doesn't contain nans.\",\n \"Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]] * 5) assert idx.is_unique is False\",\n \"index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \\\"This is the new name\",\n \"assert res is None assert index.name == new_name assert index.names == [new_name] #\",\n \"Collection of tests asserting things that should be true for any index subclass.\",\n \"for index type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position:\",\n \"else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if\",\n \"tested separated) # don't test a CategoricalIndex because categories change (GH 18291) if\",\n \"# GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert\",\n \"assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False,\",\n \"if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as\",\n \"na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test\",\n \"ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index):\",\n \"tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) if len(index) ==\",\n \"index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError):\",\n \"expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second =\",\n \"as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, )\",\n \"= index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self,\",\n \"expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\",\",\n \"expected = index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result,\",\n \"continue with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested\",\n \"res = index.rename(new_name, inplace=True) # should return None assert res is None assert\",\n \"nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold na\\\") if is_period_dtype(index.dtype):\",\n \"isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to test if the\",\n \"\\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will\",\n \"MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name\",\n \"test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg = \\\"Index\",\n \"= r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self,\",\n \"def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 # Test unions\",\n \"\\\"B\\\", None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name):\",\n \"(None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_union(self, index, fname, sname,\",\n \"not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\) does\",\n \"tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") #\",\n \"(CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\") if na_position\",\n \"= original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\")\",\n \"sort_values works with missing values, # sort non-missing and place missing according to\",\n \"# i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique\",\n \"first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second\",\n \"idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna,\",\n \"should return None assert res is None assert index.name == new_name assert index.names\",\n \"holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\")\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self,\",\n \"for MultiIndex or repeated indices\\\") # test copy.intersection(subset) - need sort for unicode\",\n \"second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname,\",\n \"pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates() for level in\",\n \"index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg\",\n \"implemented for tuple searches in MultiIndex # or Intervals searches in IntervalIndex if\",\n \"if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is\",\n \"as part of # synchronizing duplicate-sorting behavior, because we currently expect # them,\",\n \"cannot have duplicates unique_idx = index else: holder = type(index) unique_values = list(set(index))\",\n \"index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert\",\n \") def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique:\",\n \"# don't test a MultiIndex here (as its tested separated) # don't test\",\n \"validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg =\",\n \"pytest.skip(\\\"MultiIndex has no ._data\\\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\",\",\n \"asserting things that should be true for any index subclass. Makes use of\",\n \"index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first\",\n \"succeed so we use a try / except result = index.astype(dtype) except (ValueError,\",\n \"name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex):\",\n \"shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\)\",\n \"expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"),\",\n \"[\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing,\",\n \"test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a = index\",\n \"index): new_name = \\\"This is the new name for this index\\\" # don't\",\n \"= first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname)\",\n \"= index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected)\",\n \"def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately in\",\n \"Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates\",\n \"are the same, expected_right should be length expected_right = len(index) # test _searchsorted_monotonic\",\n \"repeated indices\\\") # test copy.union(subset) - need sort for unicode and string first\",\n \"index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\")\",\n \"assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for\",\n \"pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index):\",\n \"the index is empty if index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value =\",\n \"or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\")\",\n \"missing values, # sort non-missing and place missing according to na_position if isinstance(index_with_missing,\",\n \"def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check\",\n \"MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\") if na_position not\",\n \"# Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index):\",\n \"index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect\",\n \"according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get\",\n \"tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name new_ind\",\n \"= index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\",\",\n \".rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def\",\n \"None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_union_unequal(self, index,\",\n \"index.name = \\\"idx\\\" try: # Some of these conversions cannot succeed so we\",\n \"or repeated indices\\\") # test copy.intersection(subset) - need sort for unicode and string\",\n \"res is None assert index.name == new_name assert index.names == [new_name] # FIXME:\",\n \"== value).argmin() if expected_right == 0: # all values are the same, expected_right\",\n \"], ) def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 #\",\n \"a hashable type\\\" renamed = [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed)\",\n \"other indices, and Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values does not support\",\n \"pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name must be a hashable type\\\" renamed\",\n \"period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan =\",\n \"with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with\",\n \"tuple searches in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex,\",\n \"na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\",\",\n \"if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected =\",\n \"fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested separately\",\n \"pytest.skip(\\\"Skip check for empty Index\\\") msg = \\\"Index does not support mutable operations\\\"\",\n \"that should be true for any index subclass. Makes use of the `indices`\",\n \"# all values are the same, expected_right should be length expected_right = len(index)\",\n \"it cannot hold duplicates\\\" ) if len(index) == 0: pytest.skip( \\\"empty index is\",\n \"copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got\",\n \"= ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped =\",\n \"pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique index if isinstance(index, RangeIndex): # RangeIndex\",\n \"(MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to test if the index\",\n \"results (handle dupes for 'right') expected_left, expected_right = 0, (index == value).argmin() if\",\n \") with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested separately if\",\n \"type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position)\",\n \"values are the same, expected_right should be length expected_right = len(index) # test\",\n \"fname, sname, expected_name): # GH 9943 9862 # Test unions with various name\",\n \"# GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for\",\n \"differently (xref 35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)):\",\n \"== name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy,\",\n \"MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index):\",\n \"missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\":\",\n \"MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.union(subset)\",\n \"pytest.skip(\\\"Skip check for empty Index\\\") value = index[0] # determine the expected results\",\n \"check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates() for level in 0,\",\n \"= index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0] * 5]\",\n \"should be length expected_right = len(index) # test _searchsorted_monotonic in all cases #\",\n \"deepcopy): idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy =\",\n \"unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates()\",\n \"assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError: pass for\",\n \"its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name\",\n \"MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \\\"This is\",\n \"index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value = index[0] # determine the expected\",\n \"4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\) does not\",\n \"holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique\",\n \"intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866\",\n \"ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\")\",\n \"first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union,\",\n \"= np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values\",\n \"should still fail even if it would be the right length # ind.set_names(\\\"a\\\")\",\n \"order not defined for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values\",\n \"unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with\",\n \"has only 1 level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = (\",\n \"in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple)\",\n \"assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for\",\n \"for empty Index\\\") value = index[0] # determine the expected results (handle dupes\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func in (copy, deepcopy): idx_copy =\",\n \"[index.name]: if isinstance(index.name, tuple) and level is index.name: # GH 21121 : droplevel\",\n \"of tests asserting things that should be true for any index subclass. Makes\",\n \"= index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty)\",\n \"= np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else:\",\n \"non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm]\",\n \"for level in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: #\",\n \"test copy.union(subset) - need sort for unicode and string first = index.copy().set_names(fname) second\",\n \"for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not index\",\n \"_searchsorted_monotonic in all cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left\",\n \"assert expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\")\",\n \"== index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan,\",\n \"index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex\",\n \"first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\",\",\n \"is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing,\",\n \"== index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel\",\n \"has no ._data\\\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101,\",\n \"Index has only 1 level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg =\",\n \"index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res\",\n \"test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) if len(index) == 0: pytest.skip(\",\n \"empty Index and MultiIndex\\\") idx = index[[0] * 5] idx_unique = index[[0]] #\",\n \"searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left ==\",\n \"RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else: holder = type(index)\",\n \"in all cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left =\",\n \"dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail even\",\n \"sort non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)):\",\n \"# non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name\",\n \"in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: # GH 21121\",\n \"second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname,\",\n \"if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold na\\\") if is_period_dtype(index.dtype): vals\",\n \"need sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union\",\n \"and level is index.name: # GH 21121 : droplevel with tuple name continue\",\n \"dupes for 'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right ==\",\n \"holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\",\",\n \"side=\\\"right\\\") assert expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value,\",\n \"(copy, deepcopy): idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy\",\n \"def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 #\",\n \"We test against `idx_unique`, so first we make sure it's unique # and\",\n \"index) def test_set_name_methods(self, index): new_name = \\\"This is the new name for this\",\n \"not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\") idx\",\n \"index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5]\",\n \"== ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left\",\n \"name combinations # Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or\",\n \"first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect,\",\n \"# check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated)\",\n \"ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert\",\n \"index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\",\",\n \"5] vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan\",\n \"sure it's unique # and doesn't contain nans. assert idx_unique.is_unique is True try:\",\n \"unions with various name combinations # Do not test MultiIndex or repeats if\",\n \"but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype)\",\n \"assert index.names == [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"):\",\n \"= index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from\",\n \"{na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that\",\n \"# make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5))\",\n \"for MultiIndex/IntervalIndex\\\") # nothing to test if the index is empty if index.empty:\",\n \"test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result =\",\n \"None), ], ) def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862\",\n \"isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test\",\n \"index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self, index): # don't test a\",\n \"name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex\",\n \"unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not unique_idx def\",\n \"RangeIndex is unique by definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex, and RangeIndex\\\")\",\n \"MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates() for level in 0, index.name, None:\",\n \"Index\\\") value = index[0] # determine the expected results (handle dupes for 'right')\",\n \"check for MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name\",\n \"is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected\",\n \"= list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated = np.array([False]\",\n \"== index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in\",\n \"expected) msg = \\\"Too many levels: Index has only 1 level, not 4\\\"\",\n \"MultiIndex\\\") for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not\",\n \"holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n *\",\n \"# MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition.\",\n \"not defined for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values =\",\n \"test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i)\",\n \"# them, other indices, and Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values does\",\n \"idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype ==\",\n \"against `idx_unique`, so first we make sure it's unique # and doesn't contain\",\n \"# GH35847 # Test intersections with various name combinations if isinstance(index, MultiIndex) or\",\n \"index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first\",\n \"for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values()\",\n \"hold duplicates\\\" ) # make unique index holder = type(index) unique_values = list(set(index))\",\n \"= [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with\",\n \"GH 35584. Test that sort_values works with missing values, # sort non-missing and\",\n \"\\\"as it cannot hold duplicates\\\" ) if len(index) == 0: pytest.skip( \\\"empty index\",\n \"else: index.name = \\\"idx\\\" try: # Some of these conversions cannot succeed so\",\n \"pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level)\",\n \"pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates\",\n \"is unique by definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex, and RangeIndex\\\") idx\",\n \"Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected =\",\n \"index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection])\",\n \"sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result = index_with_missing.sort_values(na_position=na_position) tm.assert_index_equal(result,\",\n \"pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\") idx = index[[0] * 5] idx_unique\",\n \"(None, \\\"B\\\", None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname,\",\n \"raise pytest.skip(\\\"MultiIndex has no ._data\\\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data)\",\n \"index.rename(name, inplace=True) assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index):\",\n \"index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index,\",\n \"cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\")\",\n \"unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected\",\n \"ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else: # non-monotonic should\",\n \"pytest.skip(\\\"Skip na-check if index cannot hold na\\\") if is_period_dtype(index.dtype): vals = index[[0] *\",\n \"None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_intersect(self, index, fname,\",\n \"= holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n\",\n \"type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index n =\",\n \"needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique,\",\n \"tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped\",\n \"for level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg =\",\n \"na_position == \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values,\",\n \"expect # them, other indices, and Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values\",\n \"match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self,\",\n \"= index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty)\",\n \"if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def\",\n \"# Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected\",\n \"index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex\",\n \"(MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique\",\n \"pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from\",\n \"if len(index) == 0: pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as\",\n \"index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped,\",\n \"check for empty Index\\\") value = index[0] # determine the expected results (handle\",\n \"def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result\",\n \"keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex\",\n \"# Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique:\",\n \"length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename\",\n \"= index.rename(new_name, inplace=True) # should return None assert res is None assert index.name\",\n \"if expected_right == 0: # all values are the same, expected_right should be\",\n \"in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na:\",\n \"index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect\",\n \"= index else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) #\",\n \"use a try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError):\",\n \"dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert\",\n \"is True try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in\",\n \"level is index.name: # GH 21121 : droplevel with tuple name continue with\",\n \"iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2]\",\n \"\\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex):\",\n \"MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or\",\n \"(None, None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847\",\n \"class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested\",\n \"GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name must\",\n \"index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname)\",\n \"index.rename(new_name, inplace=True) # should return None assert res is None assert index.name ==\",\n \"empty Index\\\") msg = \\\"Index does not support mutable operations\\\" with pytest.raises(TypeError, match=msg):\",\n \"searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing\",\n \"return if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name == index.name\",\n \"string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values()\",\n \"index[[0]] # We test against `idx_unique`, so first we make sure it's unique\",\n \"TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH\",\n \"categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") #\",\n \"have duplicates unique_idx = index else: holder = type(index) unique_values = list(set(index)) unique_idx\",\n \"(\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_intersect(self,\",\n \"sname, expected_name): # GH35847 # Test intersections with various name combinations if isinstance(index,\",\n \"new_name assert index.names == [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError,\",\n \"expected_left, expected_right = 0, (index == value).argmin() if expected_right == 0: # all\",\n \"indices will get na_position kwarg as part of # synchronizing duplicate-sorting behavior, because\",\n \"Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected =\",\n \"import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas\",\n \"index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i) for\",\n \"level=0) # rename in place just leaves tuples and other containers alone name\",\n \"if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot\",\n \"re import numpy as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common\",\n \"new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res =\",\n \"separated) # don't test a CategoricalIndex because categories change (GH 18291) if isinstance(index,\",\n \"make unique index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) #\",\n \"# With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message):\",\n \"handled in test_multi.py\\\") message = \\\"Index.name must be a hashable type\\\" renamed =\",\n \"assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is\",\n \"repeated indices\\\") # test copy.intersection(subset) - need sort for unicode and string first\",\n \"the new name for this index\\\" # don't tests a MultiIndex here (as\",\n \"[\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013\",\n \"not test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for\",\n \"None assert index.name == new_name assert index.names == [new_name] # FIXME: dont leave\",\n \"= index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in\",\n \"of # synchronizing duplicate-sorting behavior, because we currently expect # them, other indices,\",\n \"index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\) does not match index name \\\"\",\n \"sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union =\",\n \"np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate\",\n \"that sort_values works with missing values, # sort non-missing and place missing according\",\n \"\\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None,\",\n \"contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError:\",\n \"string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values()\",\n \"isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\") missing_count\",\n \"tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)):\",\n \"check for empty Index and MultiIndex\\\") idx = index[[0] * 5] idx_unique =\",\n \"assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for\",\n \"holder(unique_values) # check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(),\",\n \"# 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result,\",\n \"False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"],\",\n \"idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip\",\n \"= index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname,\",\n \"0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many levels:\",\n \"= index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected)\",\n \"expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\")\",\n \"defined for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals)\",\n \"[101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self,\",\n \"Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import\",\n \"second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test\",\n \"duplicates\\\" ) # make unique index holder = type(index) unique_values = list(set(index)) unique_idx\",\n \"is tested separately\\\") # make unique index if isinstance(index, RangeIndex): # RangeIndex cannot\",\n \"is the new name for this index\\\" # don't tests a MultiIndex here\",\n \"PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self, index):\",\n \"for empty Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]] * 5) assert idx.is_unique\",\n \"pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.union(subset) - need sort for\",\n \"0: pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold\",\n \"duplicates unique_idx = index else: holder = type(index) unique_values = list(set(index)) unique_idx =\",\n \"them, other indices, and Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values does not\",\n \"index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): #\",\n \"\\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names\",\n \"result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if\",\n \"IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to test\",\n \"== \\\"banana\\\" def test_unique(self, index): # don't test a MultiIndex here (as its\",\n \"still fail even if it would be the right length # ind.set_names(\\\"a\\\") with\",\n \"index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message =\",\n \"expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second)\",\n \"tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises(\",\n \"vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not\",\n \"index): # GH17271 # not implemented for tuple searches in MultiIndex # or\",\n \"if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func in (copy, deepcopy): idx_copy\",\n \"level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match\",\n \"is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) if len(index)\",\n \"def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg =\",\n \"tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index\",\n \"# FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still\",\n \"tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union =\",\n \"even if it would be the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level\",\n \"if it would be the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must\",\n \"@pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [\",\n \"Test that sort_values works with missing values, # sort non-missing and place missing\",\n \"expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second =\",\n \"idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False, True]: result =\",\n \"vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique\",\n \"index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names ==\",\n \"RangeIndex cannot have duplicates unique_idx = index else: holder = type(index) unique_values =\",\n \"= index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected)\",\n \"\\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): #\",\n \"= index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected)\",\n \"this index\\\" # don't tests a MultiIndex here (as its tested separated) if\",\n \"right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) #\",\n \"does not support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self,\",\n \"index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"),\",\n \"= [\\\"idx\\\" + str(i) for i in range(index.nlevels)] else: index.name = \\\"idx\\\" try:\",\n \"], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested\",\n \"= \\\"idx\\\" try: # Some of these conversions cannot succeed so we use\",\n \"try: # Some of these conversions cannot succeed so we use a try\",\n \"index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\",\",\n \"def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\",\",\n \"MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func in (copy, deepcopy): idx_copy = func(index)\",\n \"1 level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested level\",\n \"ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert\",\n \"(handle dupes for 'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right\",\n \"index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\")\",\n \"index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values\",\n \"import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas\",\n \"make sure it's unique # and doesn't contain nans. assert idx_unique.is_unique is True\",\n \"combinations # Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or not\",\n \"None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or\",\n \"we make sure it's unique # and doesn't contain nans. assert idx_unique.is_unique is\",\n \"[name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip\",\n \"sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated\",\n \"None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_intersect_unequal(self, index,\",\n \"pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index) or\",\n \"for MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert\",\n \"tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None),\",\n \"test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left\",\n \"# FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm):\",\n \"SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name ==\",\n \"MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name,\",\n \"elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value,\",\n \"index type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"):\",\n \"# not implemented for tuple searches in MultiIndex # or Intervals searches in\",\n \"iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import\",\n \"DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def\",\n \"if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else: holder\",\n \"does not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order\",\n \"keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if\",\n \"# MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for\",\n \"from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd\",\n \"type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated\",\n \"= type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique index\",\n \"Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected =\",\n \"if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") #\",\n \"nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError: pass\",\n \"True try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False,\",\n \"na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg\",\n \"be true for any index subclass. Makes use of the `indices` fixture defined\",\n \"# make unique index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values)\",\n \"with missing values, # sort non-missing and place missing according to na_position if\",\n \"empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name)\",\n \"assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if\",\n \"pytest.xfail(\\\"missing value sorting order not defined for index type\\\") if na_position not in\",\n \"works with missing values, # sort non-missing and place missing according to na_position\",\n \"cannot hold na\\\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT\",\n \"MultiIndex, and RangeIndex\\\") idx = holder([index[0]] * 5) assert idx.is_unique is False assert\",\n \"first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second\",\n \"18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected\",\n \"with various name combinations # Do not test MultiIndex or repeats if isinstance(index,\",\n \"expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"),\",\n \"def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches in MultiIndex\",\n \"type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert\",\n \"level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\)\",\n \"\\\"empty index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" )\",\n \"index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a = index b\",\n \"original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name ==\",\n \"pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name == index.name def\",\n \"first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect,\",\n \"def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with pytest.raises(TypeError,\",\n \"and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like\",\n \"= first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname)\",\n \"if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a = index b =\",\n \"expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second =\",\n \"index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does\",\n \"\\\"banana\\\" def test_unique(self, index): # don't test a MultiIndex here (as its tested\",\n \"and Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\")\",\n \"tests a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check\",\n \"first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect,\",\n \"holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index\",\n \"side=\\\"left\\\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right\",\n \"(None, None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index,\",\n \"RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self, index): #\",\n \"pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as np import pytest from pandas._libs.tslibs import\",\n \"any index subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\"\",\n \"index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right ==\",\n \"if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level\",\n \"determine the expected results (handle dupes for 'right') expected_left, expected_right = 0, (index\",\n \"= index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname)\",\n \"not defined for index type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError,\",\n \"\\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) if\",\n \"= index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected)\",\n \"35584. Test that sort_values works with missing values, # sort non-missing and place\",\n \"for MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates() for level in 0, index.name,\",\n \"is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword\",\n \"Test unions with various name combinations # Do not test MultiIndex or repeats\",\n \"tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested\",\n \"order not defined for index type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]: with\",\n \"], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections\",\n \"as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion\",\n \"first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union,\",\n \"(DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part of\",\n \"for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not\",\n \"assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name\",\n \"test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py\",\n \"MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in\",\n \"22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index)\",\n \"is False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\",\",\n \"assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and level is\",\n \"\\\"\\\"\\\" Collection of tests asserting things that should be true for any index\",\n \"a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check\",\n \"idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self,\",\n \"index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype\",\n \"dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i) for i\",\n \") if len(index) == 0: pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates \\\"\",\n \"fr\\\"Requested level \\\\(wrong\\\\) does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError,\",\n \"index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold na\\\") if is_period_dtype(index.dtype): vals = index[[0]\",\n \"== ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right\",\n \"# nothing to test if the index is empty if index.empty: pytest.skip(\\\"Skip check\",\n \"MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon: def test_droplevel(self,\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name must be a hashable\",\n \"is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) # make\",\n \"= first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname)\",\n \"= index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected)\",\n \"= index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype\",\n \"if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i) for i in range(index.nlevels)] else:\",\n \"def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" +\",\n \"b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\")\",\n \"intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [\",\n \"\\\"as it cannot hold duplicates\\\" ) # make unique index holder = type(index)\",\n \"= holder(unique_values) # check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\")\",\n \"# Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected\",\n \"= index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected)\",\n \"tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union =\",\n \"is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is\",\n \") import pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH 21115\",\n \"intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first =\",\n \"Index\\\") msg = \\\"Index does not support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0]\",\n \"idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True],\",\n \"and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected =\",\n \"\\\"B\\\", None), (None, None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name):\",\n \"unique by definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex, and RangeIndex\\\") idx =\",\n \"first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second\",\n \"ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert\",\n \"== ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left = index.searchsorted(value,\",\n \"5] idx_unique = index[[0]] # We test against `idx_unique`, so first we make\",\n \"expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second =\",\n \"cannot succeed so we use a try / except result = index.astype(dtype) except\",\n \"not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates.\",\n \"copy.intersection(subset) - need sort for unicode and string first = index.copy().set_names(fname) second =\",\n \"holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested\",\n \"isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i) for i in range(index.nlevels)] else: index.name\",\n \"index else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check\",\n \"pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as\",\n \"test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip\",\n \"= \\\"This is the new name for this index\\\" # don't tests a\",\n \"= i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check for\",\n \"(None, None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name): # GH\",\n \"index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented\",\n \"= index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right\",\n \"try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if\",\n \"dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype\",\n \"[None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices\",\n \"5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] =\",\n \"# RangeIndex is unique by definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex, and\",\n \"GH 9943 9862 # Test unions with various name combinations # Do not\",\n \"expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex):\",\n \"True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected)\",\n \"Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected =\",\n \"= index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] *\",\n \"= first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\",\",\n \"test_unique(self, index): # don't test a MultiIndex here (as its tested separated) #\",\n \"MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique index if isinstance(index, RangeIndex): #\",\n \"union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first =\",\n \"rename in place just leaves tuples and other containers alone name = (\\\"A\\\",\",\n \"duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested\",\n \"pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex,\",\n \"so we use a try / except result = index.astype(dtype) except (ValueError, TypeError,\",\n \"defined for index type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid\",\n \"\\\"no_int\\\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index,\",\n \"MultiIndex or repeated indices\\\") # test copy.union(subset) - need sort for unicode and\",\n \"value = index[0] # determine the expected results (handle dupes for 'right') expected_left,\",\n \"make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx =\",\n \"= np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result = index_with_missing.sort_values(na_position=na_position) tm.assert_index_equal(result, expected)\",\n \"test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for\",\n \"expected_right == 0: # all values are the same, expected_right should be length\",\n \"from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing\",\n \"1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values\",\n \"empty Index\\\") value = index[0] # determine the expected results (handle dupes for\",\n \"value).argmin() if expected_right == 0: # all values are the same, expected_right should\",\n \"\\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with missing\",\n \"pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import\",\n \"definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]] *\",\n \"assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], )\",\n \"union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first =\",\n \"= index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected)\",\n \"empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name)\",\n \"test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message\",\n \"does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def\",\n \"= iNaT else: vals = index.values[[0] * 5] vals[0] = np.nan vals_unique =\",\n \"sorting order not defined for index type\\\") if na_position not in [\\\"first\\\", \\\"last\\\"]:\",\n \"leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail even if\",\n \"is empty if index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value = index[0] #\",\n \"for i in range(index.nlevels)] else: index.name = \\\"idx\\\" try: # Some of these\",\n \"\\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] *\",\n \"MultiIndex): pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\") idx = index[[0] * 5]\",\n \"droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]:\",\n \"= index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\")\",\n \"* 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = (\",\n \"None), (\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def\",\n \"(xref 35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing\",\n \"index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\",\",\n \"index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) #\",\n \"# Test unions with various name combinations # Do not test MultiIndex or\",\n \"doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False except\",\n \"or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.union(subset) -\",\n \"match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584.\",\n \"\\\"B\\\", None), (None, None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name):\",\n \"# GH 35584. Test that sort_values works with missing values, # sort non-missing\",\n \"else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result = index_with_missing.sort_values(na_position=na_position)\",\n \"index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index()\",\n \"MultiIndex here (as its tested separated) # don't test a CategoricalIndex because categories\",\n \"index): # don't test a MultiIndex here (as its tested separated) # don't\",\n \"separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\\\"Skip check for\",\n \"FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail\",\n \"def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex):\",\n \"elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals =\",\n \"None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if\",\n \"def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique\",\n \"vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype, as\",\n \"index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals\",\n \"match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if\",\n \"TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part of # synchronizing\",\n \"MultiIndex or repeated indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname)\",\n \"== 0: pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot\",\n \"in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) if len(index) == 0:\",\n \"MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.intersection(copy)\",\n \"# test copy.intersection(subset) - need sort for unicode and string first = index.copy().set_names(fname)\",\n \"): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled\",\n \"== original_name res = index.rename(new_name, inplace=True) # should return None assert res is\",\n \"or repeated indices\\\") # test copy.union(subset) - need sort for unicode and string\",\n \"= first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\",\",\n \"Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected =\",\n \"pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a = index b = type(a)(a) tm.assert_equal(a._data,\",\n \"here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name\",\n \"or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.intersection(copy) first\",\n \"pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH\",\n \"def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index,\",\n \"@pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like\",\n \"expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second =\",\n \"only 1 level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested\",\n \"new name for this index\\\" # don't tests a MultiIndex here (as its\",\n \"first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect,\",\n \"test_multi.py\\\") message = \\\"Index.name must be a hashable type\\\" renamed = [[\\\"1\\\"]] #\",\n \"with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name == index.name\",\n \") # make unique index holder = type(index) unique_values = list(set(index)) unique_idx =\",\n \"with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place just\",\n \"side=\\\"left\\\") def test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert\",\n \"unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index\",\n \"RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\"\",\n \"(\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\", None), (None,\",\n \"list(set(index)) unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection =\",\n \"None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_intersect_unequal(self, index, fname,\",\n \"in range(index.nlevels)] else: index.name = \\\"idx\\\" try: # Some of these conversions cannot\",\n \"index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) #\",\n \"empty Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]] * 5) assert idx.is_unique is\",\n \"combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\")\",\n \"\\\" \\\"as it cannot hold duplicates\\\" ) if len(index) == 0: pytest.skip( \\\"empty\",\n \"MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\") missing_count = np.sum(index_with_missing.isna())\",\n \"pytest.skip(\\\"Skip check for empty Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]] * 5)\",\n \"= index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy)\",\n \"20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name must be\",\n \"[new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should\",\n \"index, fname, sname, expected_name): # GH35847 # Test intersections with various name combinations\",\n \"( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class\",\n \"# don't test a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex,\",\n \"type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert\",\n \"if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name == index.name def\",\n \"assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False, True]: result\",\n \"msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def\",\n \"expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left\",\n \"an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder =\",\n \"match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index):\",\n \"expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx)\",\n \"== index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with\",\n \"True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check\",\n \"# Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected\",\n \"\\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names =\",\n \"match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index,\",\n \"# test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert\",\n \"elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\")\",\n \"assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self, index):\",\n \"with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail even if it would be\",\n \"many levels: Index has only 1 level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3)\",\n \"expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second =\",\n \"in place just leaves tuples and other containers alone name = (\\\"A\\\", \\\"B\\\")\",\n \"= index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index):\",\n \"(\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_union_unequal(self,\",\n \"index.names = [\\\"idx\\\" + str(i) for i in range(index.nlevels)] else: index.name = \\\"idx\\\"\",\n \"nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname,\",\n \"assert index.name == new_name assert index.names == [new_name] # FIXME: dont leave commented-out\",\n \"= \\\"Index.name must be a hashable type\\\" renamed = [[\\\"1\\\"]] # With .rename()\",\n \"== 0: # all values are the same, expected_right should be length expected_right\",\n \"is False except NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna)\",\n \"not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self,\",\n \"idx_unique = index[[0]] # We test against `idx_unique`, so first we make sure\",\n \"these conversions cannot succeed so we use a try / except result =\",\n \"False except NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result,\",\n \"value sorting order not defined for index type\\\") if na_position not in [\\\"first\\\",\",\n \"i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique =\",\n \"def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get\",\n \"35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value\",\n \"for tuple searches in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index,\",\n \"raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\"\",\n \"import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func in\",\n \"idx_unique.is_unique is True try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna\",\n \"datetime-like indices will get na_position kwarg as part of # synchronizing duplicate-sorting behavior,\",\n \"support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined\",\n \"expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second)\",\n \"expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left =\",\n \"if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: #\",\n \"= index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right\",\n \"def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\")\",\n \"MultiIndex\\\") idx = index[[0] * 5] idx_unique = index[[0]] # We test against\",\n \"# rename in place just leaves tuples and other containers alone name =\",\n \"be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place just leaves tuples and other\",\n \"things that should be true for any index subclass. Makes use of the\",\n \"func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert\",\n \"tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union =\",\n \"not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values = np.concatenate([[None]\",\n \"isinstance(index.name, tuple) and level is index.name: # GH 21121 : droplevel with tuple\",\n \"pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index)\",\n \"unique_idx) # validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index):\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name]) assert\",\n \"tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation for\",\n \"first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second\",\n \"index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname)\",\n \"# GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name\",\n \"5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: #\",\n \"pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans:\",\n \"# make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx\",\n \"in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip\",\n \"len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg = \\\"Index does not support mutable\",\n \"test _searchsorted_monotonic in all cases # test searchsorted only for increasing if index.is_monotonic_increasing:\",\n \"isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\") if\",\n \"various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or\",\n \"indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second)\",\n \"* 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]:\",\n \"pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\) does not match index\",\n \"index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\")\",\n \"expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right =\",\n \"intersections with various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for\",\n \"= index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else: # non-monotonic should raise. with\",\n \"just leaves tuples and other containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True)\",\n \"== [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex):\",\n \"else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # check on\",\n \"* len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow\",\n \"tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex,\",\n \"first we make sure it's unique # and doesn't contain nans. assert idx_unique.is_unique\",\n \"pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no\",\n \"CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates() for level\",\n \"= index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected)\",\n \"np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values =\",\n \"with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\" unpickled\",\n \"change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH\",\n \"index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def\",\n \"index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip(\",\n \"idx = index[[0] * 5] idx_unique = index[[0]] # We test against `idx_unique`,\",\n \"\\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested\",\n \"for 'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right == 0:\",\n \"intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first =\",\n \".set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex\",\n \"Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected =\",\n \"dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result\",\n \"index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested\",\n \"= index.name new_ind = index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name\",\n \"\\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if\",\n \"unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected\",\n \"needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0]\",\n \"check for empty Index\\\") msg = \\\"Index does not support mutable operations\\\" with\",\n \"unique # and doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans\",\n \"if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype, as above\",\n \"index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) #\",\n \"( fr\\\"Requested level \\\\(wrong\\\\) does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with\",\n \"(as its tested separated) # don't test a CategoricalIndex because categories change (GH\",\n \"expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else: #\",\n \"index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index,\",\n \"= index[[0]] # We test against `idx_unique`, so first we make sure it's\",\n \"expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second)\",\n \"index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self,\",\n \"import re import numpy as np import pytest from pandas._libs.tslibs import iNaT from\",\n \"@pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works\",\n \"None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_union_unequal(self, index, fname,\",\n \"tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\\\"Skip check\",\n \"copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func in (copy,\",\n \"index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many levels: Index\",\n \"in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def\",\n \"new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self, index): # don't\",\n \"assert result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): #\",\n \"isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold\",\n \"index cannot hold na\\\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] =\",\n \"name continue with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError,\",\n \"(\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_union(self,\",\n \"expected_right = 0, (index == value).argmin() if expected_right == 0: # all values\",\n \"various name combinations # Do not test MultiIndex or repeats if isinstance(index, MultiIndex)\",\n \"\\\"Too many levels: Index has only 1 level, not 4\\\" with pytest.raises(IndexError, match=msg):\",\n \"test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections with various name\",\n \"sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values])\",\n \"a MultiIndex here (as its tested separated) # don't test a CategoricalIndex because\",\n \"leaves tuples and other containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert\",\n \"= idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index\",\n \"expected_right = len(index) # test _searchsorted_monotonic in all cases # test searchsorted only\",\n \"= index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate\",\n \"be a hashable type\\\" renamed = [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message):\",\n \"index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res = index.rename(new_name, inplace=True)\",\n \"= index.set_names([new_name]) assert new_ind.name == new_name assert index.name == original_name res = index.rename(new_name,\",\n \"[ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\", None),\",\n \"index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first\",\n \"import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm\",\n \"len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is\",\n \"and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected =\",\n \"mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name\",\n \"inplace=True) assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index): from\",\n \"None), (None, None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): #\",\n \"pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index,\",\n \"= index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self, index): # don't test\",\n \"func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not index assert\",\n \"idx = holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is True\",\n \"not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold na\\\") if is_period_dtype(index.dtype): vals =\",\n \"if index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value = index[0] # determine the\",\n \"tuples and other containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name\",\n \"synchronizing duplicate-sorting behavior, because we currently expect # them, other indices, and Series\",\n \"if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name must be a\",\n \"in test_multi.py\\\") message = \\\"Index.name must be a hashable type\\\" renamed = [[\\\"1\\\"]]\",\n \"message = \\\"Index.name must be a hashable type\\\" renamed = [[\\\"1\\\"]] # With\",\n \"argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not\",\n \"else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray\",\n \"if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value,\",\n \"must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place just leaves tuples and\",\n \"if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to test if\",\n \"(None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_intersect(self, index, fname, sname,\",\n \"assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\",\",\n \"hashable type\\\" renamed = [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) #\",\n \"None assert res is None assert index.name == new_name assert index.names == [new_name]\",\n \"original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if\",\n \"it cannot hold duplicates\\\" ) # make unique index holder = type(index) unique_values\",\n \"index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count,\",\n \"True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index,\",\n \"in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\\\"Skip check for empty\",\n \"pytest.skip(\\\"Skip check for MultiIndex\\\") for func in (copy, deepcopy): idx_copy = func(index) assert\",\n \"unique index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make\",\n \"= index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many levels: Index has only 1\",\n \"vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0] *\",\n \") def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique:\",\n \"MultiIndex/IntervalIndex\\\") # nothing to test if the index is empty if index.empty: pytest.skip(\\\"Skip\",\n \"new_name assert index.name == original_name res = index.rename(new_name, inplace=True) # should return None\",\n \"assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else:\",\n \"isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self,\",\n \"b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence\",\n \"check on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped\",\n \"pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to test if the index is\",\n \"a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for\",\n \"== \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None]\",\n \"# test copy.union(subset) - need sort for unicode and string first = index.copy().set_names(fname)\",\n \"Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected =\",\n \"= index[[0] * 5] idx_unique = index[[0]] # We test against `idx_unique`, so\",\n \"index): if not len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg = \\\"Index does\",\n \"index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\",\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\") idx = index[[0] *\",\n \"not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\"\",\n \"tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def\",\n \"intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first =\",\n \"def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with missing values,\",\n \"RangeIndex\\\") idx = holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is\",\n \"tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check for empty Index\\\")\",\n \"index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique index if\",\n \"# datetime-like indices will get na_position kwarg as part of # synchronizing duplicate-sorting\",\n \"msg = \\\"Index does not support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] =\",\n \"to sort differently (xref 35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif isinstance(index_with_missing,\",\n \"TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately\",\n \"assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left ==\",\n \"level \\\\(wrong\\\\) does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg):\",\n \"level \\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index):\",\n \"\\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): #\",\n \"not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.intersection(copy) first =\",\n \"None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_union(self, index,\",\n \"# Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]:\",\n \"pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\"\",\n \"MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\\\"Skip\",\n \"result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not\",\n \"copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name)\",\n \"should be true for any index subclass. Makes use of the `indices` fixture\",\n \"(\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_intersect_unequal(self,\",\n \"test against `idx_unique`, so first we make sure it's unique # and doesn't\",\n \"part of # synchronizing duplicate-sorting behavior, because we currently expect # them, other\",\n \"= index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy)\",\n \"or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated\",\n \"duplicate-sorting behavior, because we currently expect # them, other indices, and Series to\",\n \"not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.union(copy) first =\",\n \"= \\\"Index does not support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0]\",\n \"= index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype ==\",\n \"NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) #\",\n \"str(i) for i in range(index.nlevels)] else: index.name = \\\"idx\\\" try: # Some of\",\n \"test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position\",\n \"= first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname)\",\n \"pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail even if it would be the\",\n \"if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals\",\n \"levels: Index has only 1 level, not 4\\\" with pytest.raises(IndexError, match=msg): index.unique(level=3) msg\",\n \"index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first\",\n \"len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. #\",\n \"name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated\",\n \"# determine the expected results (handle dupes for 'right') expected_left, expected_right = 0,\",\n \"= np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) #\",\n \"assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an\",\n \"r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index):\",\n \"first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second\",\n \"test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") if isinstance(index, RangeIndex):\",\n \"# Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) #\",\n \"index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True)\",\n \"test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for\",\n \"index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect\",\n \"and MultiIndex\\\") idx = index[[0] * 5] idx_unique = index[[0]] # We test\",\n \"it would be the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be\",\n \"import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex,\",\n \"index holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated\",\n \"the expected results (handle dupes for 'right') expected_left, expected_right = 0, (index ==\",\n \"first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second\",\n \"if the index is empty if index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value\",\n \"index subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import\",\n \"not len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg = \\\"Index does not support\",\n \"repeated indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect =\",\n \"for empty Index and MultiIndex\\\") idx = index[[0] * 5] idx_unique = index[[0]]\",\n \"def test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled)\",\n \"int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated =\",\n \"index[0] = index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index):\",\n \"- need sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname)\",\n \"index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) #\",\n \"TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else: assert\",\n \"# Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected\",\n \"= func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\")\",\n \"index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None,\",\n \"GH17271 # not implemented for tuple searches in MultiIndex # or Intervals searches\",\n \"first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\",\",\n \"def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel()\",\n \"does not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH\",\n \"MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty\",\n \"== [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # #\",\n \"index.name: # GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level)\",\n \"import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex,\",\n \"Do not test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not\",\n \"PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part of #\",\n \"= index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left\",\n \"index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.union(subset) - need sort\",\n \"None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test\",\n \"tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex):\",\n \"None), (None, None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if\",\n \"# nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold na\\\") if\",\n \"= (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name == name assert index.names == [name]\",\n \"union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [\",\n \"\\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position):\",\n \"empty if index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value = index[0] # determine\",\n \"dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique\",\n \"and other containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name ==\",\n \"9862 # Test unions with various name combinations # Do not test MultiIndex\",\n \"currently expect # them, other indices, and Series to sort differently (xref 35922)\",\n \"= first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname)\",\n \"expected_name): # GH 9943 9862 # Test unions with various name combinations #\",\n \"with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\", ):\",\n \"21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in\",\n \"or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\") idx = index[[0]\",\n \"index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize(\",\n \"name for this index\\\" # don't tests a MultiIndex here (as its tested\",\n \"pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second\",\n \"len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\") idx =\",\n \"index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize(\",\n \"KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def\",\n \"not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def\",\n \"pytest.skip(\\\"Separate expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name\",\n \"is index.name: # GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError):\",\n \"MultiIndex or repeated indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname)\",\n \"None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many levels: Index has\",\n \"renamed = [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names()\",\n \") def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\"\",\n \"missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result\",\n \"= holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize(\",\n \"# GH 17896 expected = index.drop_duplicates() for level in 0, index.name, None: result\",\n \"https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i) for i in range(index.nlevels)]\",\n \"test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 # Test unions with\",\n \"unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if\",\n \"= index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\",\",\n \"= index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname)\",\n \"unique_values = list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated =\",\n \"don't test a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)):\",\n \"first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union,\",\n \"ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left =\",\n \"= type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True\",\n \"index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or isinstance(index,\",\n \"def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections with various\",\n \"# Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected\",\n \"not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527\",\n \"# sort non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex,\",\n \"index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else:\",\n \"np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected =\",\n \"for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if\",\n \"GH 21121 : droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level\",\n \"for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]:\",\n \"else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name,\",\n \"= type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately\",\n \"index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271\",\n \"assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex\",\n \"for any index subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py.\",\n \"match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\")\",\n \"index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index,\",\n \"= holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep),\",\n \"# We test against `idx_unique`, so first we make sure it's unique #\",\n \"copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name)\",\n \"expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing:\",\n \"copy.union(subset) - need sort for unicode and string first = index.copy().set_names(fname) second =\",\n \"original_name res = index.rename(new_name, inplace=True) # should return None assert res is None\",\n \"match=msg): index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\) does not match index name\",\n \"(None, None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index,\",\n \"\\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex\",\n \"tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect =\",\n \"@pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def\",\n \"pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\)\",\n \"second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test\",\n \"# ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in\",\n \"except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names\",\n \"result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected\",\n \"expected_name): # GH35847 # Test intersections with various name combinations if isinstance(index, MultiIndex)\",\n \"Some of these conversions cannot succeed so we use a try / except\",\n \"idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values )\",\n \"expected results (handle dupes for 'right') expected_left, expected_right = 0, (index == value).argmin()\",\n \"is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index,\",\n \"for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if\",\n \"copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name)\",\n \"index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\",\",\n \"ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\")\",\n \"ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing,\",\n \"expected) def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg\",\n \"assert new_ind.name == new_name assert index.name == original_name res = index.rename(new_name, inplace=True) #\",\n \"# don't tests a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex):\",\n \"expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\")\",\n \"a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning\",\n \"\\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match index name\",\n \"GH35847 # Test intersections with various name combinations if isinstance(index, MultiIndex) or not\",\n \"None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name): # GH 9943\",\n \"== new_name assert index.names == [new_name] # FIXME: dont leave commented-out # with\",\n \"np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values\",\n \"all values are the same, expected_right should be length expected_right = len(index) #\",\n \"indices\\\") # test copy.union(subset) - need sort for unicode and string first =\",\n \"tests asserting things that should be true for any index subclass. Makes use\",\n \"index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first\",\n \"GH 17896 expected = index.drop_duplicates() for level in 0, index.name, None: result =\",\n \"\\\" \\\"as it cannot hold duplicates\\\" ) # make unique index holder =\",\n \"index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union\",\n \"kwarg as part of # synchronizing duplicate-sorting behavior, because we currently expect #\",\n \"it's unique # and doesn't contain nans. assert idx_unique.is_unique is True try: assert\",\n \"== ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right = index.searchsorted(value,\",\n \"duplicates\\\" ) if len(index) == 0: pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates\",\n \"index.name == new_name assert index.names == [new_name] # FIXME: dont leave commented-out #\",\n \"to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position\",\n \"None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 #\",\n \"._data\\\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) #\",\n \"tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold\",\n \"all cases # test searchsorted only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value,\",\n \"expected_right == ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def\",\n \"unique_idx = index else: holder = type(index) unique_values = list(set(index)) unique_idx = holder(unique_values)\",\n \"index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple\",\n \"place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices\",\n \"make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx\",\n \"from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as pd from pandas import (\",\n \"needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex,\",\n \"tm.assert_index_equal(result, expected) msg = \\\"Too many levels: Index has only 1 level, not\",\n \"unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx)\",\n \"* 5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\",\",\n \"index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position\",\n \"tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self,\",\n \"pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.intersection(subset) - need sort for\",\n \"subclass. Makes use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re\",\n \"indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second)\",\n \"test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) # make unique index holder\",\n \"the same, expected_right should be length expected_right = len(index) # test _searchsorted_monotonic in\",\n \"test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and\",\n \"pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name ==\",\n \"tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \\\"This is the new name for\",\n \"if index cannot hold na\\\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0]\",\n \"result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert\",\n \"sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count])\",\n \"assert index.name == original_name res = index.rename(new_name, inplace=True) # should return None assert\",\n \"repeated indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union =\",\n \"expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\",\",\n \"21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for\",\n \"idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self, index): #\",\n \"with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self,\",\n \"for empty Index\\\") msg = \\\"Index does not support mutable operations\\\" with pytest.raises(TypeError,\",\n \"of these conversions cannot succeed so we use a try / except result\",\n \"def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not\",\n \"MultiIndex): assert result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self, index):\",\n \"from copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for\",\n \"= pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else:\",\n \"vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0]\",\n \"be the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\",\",\n \"sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None,\",\n \"is_period_dtype, needs_i8_conversion import pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex,\",\n \"test if the index is empty if index.empty: pytest.skip(\\\"Skip check for empty Index\\\")\",\n \"Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if\",\n \"expected_right should be length expected_right = len(index) # test _searchsorted_monotonic in all cases\",\n \"separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it\",\n \"= unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is not unique_idx\",\n \"match=r\\\"'Requested level \\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\", ): index.droplevel(level) def test_constructor_non_hashable_name(self,\",\n \"except NotImplementedError: pass for dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique)\",\n \"@pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None,\",\n \"index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): #\",\n \"NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else: assert result.name\",\n \"same, expected_right should be length expected_right = len(index) # test _searchsorted_monotonic in all\",\n \"non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): #\",\n \"None), (None, None, None), ], ) def test_corner_union(self, index, fname, sname, expected_name): #\",\n \"def test_unique(self, index): # don't test a MultiIndex here (as its tested separated)\",\n \"cannot hold duplicates\\\" ) if len(index) == 0: pytest.skip( \\\"empty index is tested\",\n \"its tested separated) # don't test a CategoricalIndex because categories change (GH 18291)\",\n \"pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import pandas as\",\n \"empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name)\",\n \"True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in\",\n \"i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if\",\n \"def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a =\",\n \"expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"),\",\n \"len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy\",\n \"because we currently expect # them, other indices, and Series to sort differently\",\n \"(\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ],\",\n \"don't tests a MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip\",\n \"index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index, MultiIndex): pytest.skip(\\\"Separate expectation\",\n \"result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many levels: Index has only\",\n \"pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\" unpickled =\",\n \"idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot\",\n \": droplevel with tuple name continue with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\",\",\n \"index.droplevel(level) def test_constructor_non_hashable_name(self, index): # GH 20527 if isinstance(index, MultiIndex): pytest.skip(\\\"multiindex handled in\",\n \"pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to test if the index is empty\",\n \"indices\\\") # test copy.intersection(subset) - need sort for unicode and string first =\",\n \"separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex\",\n \"not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.intersection(subset) - need\",\n \"length expected_right = len(index) # test _searchsorted_monotonic in all cases # test searchsorted\",\n \"test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): #\",\n \"ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if\",\n \"with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): #\",\n \"index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name:\",\n \"fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as np import pytest\",\n \"tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence of nd indexing\",\n \"pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" )\",\n \"isinstance(index, RangeIndex): # RangeIndex cannot have duplicates unique_idx = index else: holder =\",\n \"ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right =\",\n \"hold duplicates\\\" ) if len(index) == 0: pytest.skip( \\\"empty index is tested in\",\n \"pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep),\",\n \"isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg as part\",\n \"np.nan vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but\",\n \"deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex,\",\n \"= np.nan vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion\",\n \"= index[0] # determine the expected results (handle dupes for 'right') expected_left, expected_right\",\n \"Test intersections with various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not\",\n \"list(set(index)) unique_idx = holder(unique_values) # check on unique index expected_duplicated = np.array([False] *\",\n \"# with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail even if it would\",\n \"and RangeIndex\\\") idx = holder([index[0]] * 5) assert idx.is_unique is False assert idx.has_duplicates\",\n \"not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.union(subset) - need\",\n \"on unique index expected_duplicated = np.array([False] * len(unique_idx), dtype=\\\"bool\\\") tm.assert_numpy_array_equal(unique_idx.duplicated(), expected_duplicated) result_dropped =\",\n \"not implemented for tuple searches in MultiIndex # or Intervals searches in IntervalIndex\",\n \"# validate shallow copy assert result_dropped is not unique_idx def test_drop_duplicates_inplace(self, index): msg\",\n \"union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first =\",\n \"assert expected_left == ss_left ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif\",\n \"expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is\",\n \"index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def\",\n \"side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right\",\n \"alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name == name assert index.names\",\n \"index.set_names(\\\"a\\\", level=0) # rename in place just leaves tuples and other containers alone\",\n \"or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.union(copy) first\",\n \"pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname) second\",\n \"don't test a MultiIndex here (as its tested separated) # don't test a\",\n \"tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect =\",\n \"in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match index\",\n \"= index[0] def test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): #\",\n \"\\\"B\\\") index.rename(name, inplace=True) assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self,\",\n \"index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy if isinstance(index,\",\n \"for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right\",\n \"only for increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left\",\n \"return None assert res is None assert index.name == new_name assert index.names ==\",\n \"\\\"Index does not support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def\",\n \"# # should still fail even if it would be the right length\",\n \"or repeated indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union\",\n \"with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex,\",\n \"test_set_name_methods(self, index): new_name = \\\"This is the new name for this index\\\" #\",\n \"= index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position == \\\"first\\\": sorted_values = np.concatenate([[None] *\",\n \"test MultiIndex or repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex\",\n \"0, (index == value).argmin() if expected_right == 0: # all values are the\",\n \"first = index.copy().set_names(fname) second = index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union,\",\n \"= type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence of\",\n \"fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or\",\n \"= index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected)\",\n \"index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) union\",\n \"cannot hold duplicates\\\" ) # make unique index holder = type(index) unique_values =\",\n \"vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is\",\n \"match=\\\"list-like\\\"): # # should still fail even if it would be the right\",\n \"import numpy as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import\",\n \"(None, \\\"B\\\", None), (None, None, None), ], ) def test_union_unequal(self, index, fname, sname,\",\n \"# GH 9943 9862 # Test unions with various name combinations # Do\",\n \"isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is\",\n \"= holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested\",\n \"numpy as np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype,\",\n \"type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"]) # FutureWarning from non-tuple sequence of nd\",\n \"separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index and\",\n \"\\\"B\\\", None), (None, None, None), ], ) def test_corner_intersect(self, index, fname, sname, expected_name):\",\n \"hold na\\\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif\",\n \"test_view(self, index): assert index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not\",\n \"if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique index if isinstance(index,\",\n \"len(index) == 0: pytest.skip( \\\"empty index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it\",\n \"= index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected)\",\n \"tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\" \\\"as\",\n \"kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index\",\n \"try: assert idx_unique.hasnans is False except NotImplementedError: pass for dropna in [False, True]:\",\n \"index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.intersection(subset) - need sort\",\n \"# or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for\",\n \"for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values()\",\n \"test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with missing values, #\",\n \"None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place just leaves tuples and other containers\",\n \"FutureWarning from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with\",\n \"union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [\",\n \"= vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype,\",\n \"holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated)\",\n \"tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex):\",\n \"= tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index,\",\n \"# should return None assert res is None assert index.name == new_name assert\",\n \"\\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype): # https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index,\",\n \"a try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return\",\n \"[idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index):\",\n \"tested separately\\\") # make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have\",\n \"= first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\",\",\n \"copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name)\",\n \"msg = ( fr\\\"Requested level \\\\(wrong\\\\) does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\"\",\n \"second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test\",\n \"in (copy, deepcopy): idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index)\",\n \") tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped)\",\n \"index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a\",\n \"with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\",\",\n \"index, fname, sname, expected_name): # GH 9943 9862 # Test unions with various\",\n \"np import pytest from pandas._libs.tslibs import iNaT from pandas.core.dtypes.common import is_period_dtype, needs_i8_conversion import\",\n \"increasing if index.is_monotonic_increasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right =\",\n \"index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches in\",\n \"= \\\"Too many levels: Index has only 1 level, not 4\\\" with pytest.raises(IndexError,\",\n \"for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \\\"This\",\n \"== ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else: # non-monotonic\",\n \"[idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def\",\n \"na_position): # GH 35584. Test that sort_values works with missing values, # sort\",\n \"not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not\",\n \"assert index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy\",\n \"first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union,\",\n \"i in range(index.nlevels)] else: index.name = \\\"idx\\\" try: # Some of these conversions\",\n \"= np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected\",\n \"is tested separately\\\") if isinstance(index, RangeIndex): pytest.skip( \\\"RangeIndex is tested in test_drop_duplicates_no_duplicates \\\"\",\n \"so first we make sure it's unique # and doesn't contain nans. assert\",\n \"new_copy.name == \\\"banana\\\" def test_unique(self, index): # don't test a MultiIndex here (as\",\n \"unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n,\",\n \"name=\\\"banana\\\") assert new_copy.name == \\\"banana\\\" def test_unique(self, index): # don't test a MultiIndex\",\n \"isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test\",\n \"or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex\",\n \"indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\",\",\n \"expectation for MultiIndex\\\") result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name =\",\n \"= index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names\",\n \"\\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None),\",\n \"copy import copy, deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func\",\n \"pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT else: vals\",\n \"ss_right = index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value,\",\n \"index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize(\",\n \"true for any index subclass. Makes use of the `indices` fixture defined in\",\n \"(\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name == name assert index.names == [name] def\",\n \"second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname,\",\n \"index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left ==\",\n \"index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) #\",\n \"= index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname,\",\n \"result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check\",\n \"(GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896\",\n \"with pytest.raises(IndexError, match=msg): index.unique(level=3) msg = ( fr\\\"Requested level \\\\(wrong\\\\) does not match\",\n \"missing according to na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will\",\n \"# RangeIndex cannot have duplicates unique_idx = index else: holder = type(index) unique_values\",\n \"for this index\\\" # don't tests a MultiIndex here (as its tested separated)\",\n \"CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for\",\n \"match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested separately if not len(index) or\",\n \"tuple) and level is index.name: # GH 21121 : droplevel with tuple name\",\n \"index is empty if index.empty: pytest.skip(\\\"Skip check for empty Index\\\") value = index[0]\",\n \"MultiIndex or repeated indices\\\") # test copy.intersection(subset) - need sort for unicode and\",\n \"MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name]) assert new_ind.name\",\n \"= len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated\",\n \"searches in MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)):\",\n \"\\\\(wrong\\\\) does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" ) with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\")\",\n \"is None assert index.name == new_name assert index.names == [new_name] # FIXME: dont\",\n \"tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None),\",\n \"type\\\" renamed = [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With\",\n \"as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals)\",\n \"test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for\",\n \"index): original_name, index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name =\",\n \"test_drop_duplicates_inplace(self, index): msg = r\\\"drop_duplicates\\\\(\\\\) got an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg):\",\n \"[\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals,\",\n \"index.name == original_name res = index.rename(new_name, inplace=True) # should return None assert res\",\n \"n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) #\",\n \"empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second) expected = index.drop(index).set_names(expected_name)\",\n \"type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)): # MultiIndex tested separately in:\",\n \"index): # GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return\",\n \"== index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches\",\n \"behavior, because we currently expect # them, other indices, and Series to sort\",\n \"# should still fail even if it would be the right length #\",\n \"except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex):\",\n \"def test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex, RangeIndex)):\",\n \"in 0, index.name, None: result = index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many\",\n \"test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique index\",\n \"# synchronizing duplicate-sorting behavior, because we currently expect # them, other indices, and\",\n \"separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name new_ind =\",\n \"i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not len(index): pytest.skip(\\\"Skip check for empty\",\n \"msg = \\\"Too many levels: Index has only 1 level, not 4\\\" with\",\n \"must be a hashable type\\\" renamed = [[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError,\",\n \"= index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname)\",\n \"if na_position == \\\"first\\\": sorted_values = np.concatenate([[None] * missing_count, sorted_values]) else: sorted_values =\",\n \"na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for\",\n \"def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not\",\n \"sorting order not defined for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values\",\n \"separately in test_multi.py return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name,\",\n \"GH 21115 if isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index)\",\n \"side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left\",\n \"index.names == [new_name] # FIXME: dont leave commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): #\",\n \"pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None),\",\n \"isinstance(index, MultiIndex): # Tested separately in test_multi.py return assert index.droplevel([]).equals(index) for level in\",\n \"tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) # make unique\",\n \"= 0, (index == value).argmin() if expected_right == 0: # all values are\",\n \"pytest.xfail(\\\"missing value sorting order not defined for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals\",\n \"tm.assert_index_equal(intersect, expected) # Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect =\",\n \"index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index) or isinstance(index, (MultiIndex,\",\n \"because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\")\",\n \"= np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately\",\n \"MultiIndex here (as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\")\",\n \"from non-tuple sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError):\",\n \"[\\\"idx\\\" + str(i) for i in range(index.nlevels)] else: index.name = \\\"idx\\\" try: #\",\n \"index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning\",\n \"expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped\",\n \"na_position if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): # datetime-like indices will get na_position kwarg\",\n \"not support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index):\",\n \"0: # all values are the same, expected_right should be length expected_right =\",\n \"isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has no ._data\\\") a = index b = type(a)(a)\",\n \"( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep))\",\n \"tm class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex): #\",\n \"], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or not\",\n \"by definition. pytest.skip(\\\"Skip check for empty Index, MultiIndex, and RangeIndex\\\") idx = holder([index[0]]\",\n \"idx_unique_nan = index._shallow_copy(vals_unique) assert idx_unique_nan.is_unique is True assert idx_nan.dtype == index.dtype assert idx_unique_nan.dtype\",\n \"expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second)\",\n \"# Test copy.union(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected\",\n \"fail even if it would be the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError,\",\n \"test copy.intersection(subset) - need sort for unicode and string first = index.copy().set_names(fname) second\",\n \"= ( fr\\\"Requested level \\\\(wrong\\\\) does not match index name \\\" fr\\\"\\\\({re.escape(index.name.__repr__())}\\\\)\\\" )\",\n \"of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as\",\n \"in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index): if not\",\n \"operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert index.view().name ==\",\n \"Test empty.intersection(copy) first = index.drop(index).set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected =\",\n \"= first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if\",\n \") def test_corner_union(self, index, fname, sname, expected_name): # GH 9943 9862 # Test\",\n \"None, None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex)\",\n \"in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) # make unique index\",\n \") def test_corner_intersect(self, index, fname, sname, expected_name): # GH35847 # Test intersections with\",\n \"# https://github.com/pandas-dev/pandas/issues/32013 if isinstance(index, MultiIndex): index.names = [\\\"idx\\\" + str(i) for i in\",\n \"index is tested in test_drop_duplicates_no_duplicates \\\" \\\"as it cannot hold duplicates\\\" ) #\",\n \"second = index.copy().set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test\",\n \"ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right else: # non-monotonic should raise.\",\n \"np.random.choice(n, int(n * 1.5)) idx = holder(unique_idx.values[duplicated_selection]) # Series.duplicated is tested separately expected_duplicated\",\n \"index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: # GH 21121 :\",\n \"index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) union\",\n \"returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position):\",\n \"* 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0]\",\n \"values, # sort non-missing and place missing according to na_position if isinstance(index_with_missing, (DatetimeIndex,\",\n \"we use a try / except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError,\",\n \"== ssm_right else: # non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self,\",\n \"CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, ) import pandas._testing as tm class TestCommon:\",\n \"expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result =\",\n \"index._searchsorted_monotonic(value, side=\\\"left\\\") assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right ==\",\n \"= index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \\\"This is the new\",\n \"separately expected_duplicated = ( pd.Series(duplicated_selection).duplicated(keep=keep).values ) tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected_duplicated) # Series.drop_duplicates is tested separately\",\n \"second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test\",\n \"need sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect\",\n \"will get na_position kwarg as part of # synchronizing duplicate-sorting behavior, because we\",\n \"* 5] idx_unique = index[[0]] # We test against `idx_unique`, so first we\",\n \"= type(index) unique_values = list(set(index)) unique_idx = holder(unique_values) # make duplicated index n\",\n \"side=\\\"right\\\") assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left\",\n \"\\\"Index.name must be a hashable type\\\" renamed = [[\\\"1\\\"]] # With .rename() with\",\n \"would be the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"):\",\n \"isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make unique index if isinstance(index, RangeIndex):\",\n \"inplace=True) # should return None assert res is None assert index.name == new_name\",\n \"= index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname)\",\n \"vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan =\",\n \"if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for empty Index and MultiIndex\\\")\",\n \"isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip check for MultiIndex/CategoricalIndex\\\") # GH 17896 expected = index.drop_duplicates()\",\n \"first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self, index): # 22866 if isinstance(index,\",\n \"for MultiIndex or repeated indices\\\") # Test copy.union(copy) first = index.copy().set_names(fname) second =\",\n \"# Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect = first.intersection(second) expected\",\n \"unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index)\",\n \"index[[0] * 5] idx_unique = index[[0]] # We test against `idx_unique`, so first\",\n \"in [\\\"m\\\", \\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals =\",\n \"test a MultiIndex here (as its tested separated) # don't test a CategoricalIndex\",\n \"# GH17271 # not implemented for tuple searches in MultiIndex # or Intervals\",\n \"na\\\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype):\",\n \"second = index[1:].set_names(sname) intersect = first.intersection(second).sort_values() expected = index[1:].set_names(expected_name).sort_values() tm.assert_index_equal(intersect, expected) def test_to_flat_index(self,\",\n \"17896 expected = index.drop_duplicates() for level in 0, index.name, None: result = index.unique(level=level)\",\n \"non-monotonic should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name =\",\n \"MultiIndex # or Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check\",\n \"idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip na-check if index cannot hold na\\\")\",\n \"idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\",\",\n \"in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna)\",\n \"or repeated indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second = index.copy().set_names(sname) intersect\",\n \"idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i\",\n \"* 5] vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0] =\",\n \"\\\"idx\\\" try: # Some of these conversions cannot succeed so we use a\",\n \"get na_position kwarg as part of # synchronizing duplicate-sorting behavior, because we currently\",\n \"unique_idx = holder(unique_values) # check on unique index expected_duplicated = np.array([False] * len(unique_idx),\",\n \"new_ind.name == new_name assert index.name == original_name res = index.rename(new_name, inplace=True) # should\",\n \"name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name == name assert index.names ==\",\n \"expected_duplicated) # Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self,\",\n \"(index == value).argmin() if expected_right == 0: # all values are the same,\",\n \"\\\"This is the new name for this index\\\" # don't tests a MultiIndex\",\n \"value sorting order not defined for index type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals =\",\n \"deepcopy if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") for func in (copy, deepcopy):\",\n \"pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting\",\n \"= index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname)\",\n \"with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder = type(index) if not len(index)\",\n \"repeats if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\")\",\n \"for MultiIndex or repeated indices\\\") # Test copy.intersection(copy) first = index.copy().set_names(fname) second =\",\n \"sort for unicode and string first = index.copy().set_names(fname) second = index[1:].set_names(sname) intersect =\",\n \"index.unique(level=level) tm.assert_index_equal(result, expected) msg = \\\"Too many levels: Index has only 1 level,\",\n \"itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\",\",\n \"expected) # Test copy.union(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) union = first.union(second)\",\n \"# GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"])\",\n \"Index and MultiIndex\\\") idx = index[[0] * 5] idx_unique = index[[0]] # We\",\n \"idx_copy = func(index) assert idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True,\",\n \"we currently expect # them, other indices, and Series to sort differently (xref\",\n \"sort differently (xref 35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif isinstance(index_with_missing, (CategoricalIndex,\",\n \"first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\",\",\n \"/ except result = index.astype(dtype) except (ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index,\",\n \"@pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self, index, dtype):\",\n \"support mutable operations\\\" with pytest.raises(TypeError, match=msg): index[0] = index[0] def test_view(self, index): assert\",\n \"index\\\" # don't tests a MultiIndex here (as its tested separated) if isinstance(index,\",\n \"sequence of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize(\",\n \"index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty) first\",\n \"for MultiIndex\\\") for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy is\",\n \"\\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\", None, None),\",\n \"\\\"\\\"\\\" import re import numpy as np import pytest from pandas._libs.tslibs import iNaT\",\n \"index.asi8[[0] * 5] vals[0] = iNaT else: vals = index.values[[0] * 5] vals[0]\",\n \"with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise pytest.skip(\\\"MultiIndex has\",\n \"index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def test_sort_values_invalid_na_position(index_with_missing, na_position): if isinstance(index_with_missing, (DatetimeIndex, PeriodIndex, TimedeltaIndex)): #\",\n \"index): # MultiIndex tested separately if not len(index) or isinstance(index, MultiIndex): pytest.skip(\\\"Skip check\",\n \"use of the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy\",\n \"9943 9862 # Test unions with various name combinations # Do not test\",\n \"vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals = index.asi8[[0] * 5] vals[0] = iNaT\",\n \"and doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is False\",\n \"index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index)\",\n \"Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values does not support na_position kwarg\\\") elif\",\n \"= type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan = index._shallow_copy(vals_unique)\",\n \"pandas as pd from pandas import ( CategoricalIndex, DatetimeIndex, MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex,\",\n \"the right length # ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0)\",\n \"separately\\\") # make unique index if isinstance(index, RangeIndex): # RangeIndex cannot have duplicates\",\n \"index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\", None), (\\\"A\\\",\",\n \"should raise. with pytest.raises(ValueError): index._searchsorted_monotonic(value, side=\\\"left\\\") def test_pickle(self, index): original_name, index.name = index.name,\",\n \"ind.set_names(\\\"a\\\") with pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place\",\n \"other containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name == name\",\n \"na-check if index cannot hold na\\\") if is_period_dtype(index.dtype): vals = index[[0] * 5]._data\",\n \"type\\\") missing_count = np.sum(index_with_missing.isna()) not_na_vals = index_with_missing[index_with_missing.notna()].values sorted_values = np.sort(not_na_vals) if na_position ==\",\n \"\\\"B\\\", None), (\\\"A\\\", None, None), (None, \\\"B\\\", None), (None, None, None), ], )\",\n \"(ValueError, TypeError, NotImplementedError, SystemError): return if isinstance(index, MultiIndex): assert result.names == index.names else:\",\n \"vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind in [\\\"m\\\", \\\"M\\\"]: # i.e.\",\n \"index.copy().set_names(fname) second = index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) #\",\n \"5) assert idx.is_unique is False assert idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\",\",\n \"assert expected_right == ssm_right ss_left = index.searchsorted(value, side=\\\"left\\\") assert expected_left == ss_left ss_right\",\n \"(as its tested separated) if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name =\",\n \"check for MultiIndex\\\") for func in (copy, deepcopy): idx_copy = func(index) assert idx_copy\",\n \"# Test copy.intersection(empty) first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected\",\n \"result = index.to_flat_index() tm.assert_index_equal(result, index) def test_set_name_methods(self, index): new_name = \\\"This is the\",\n \"return assert index.droplevel([]).equals(index) for level in index.name, [index.name]: if isinstance(index.name, tuple) and level\",\n \"with various name combinations if isinstance(index, MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex\",\n \"first = index.copy().set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect,\",\n \"index[1:].set_names(sname) union = first.union(second).sort_values() expected = index.set_names(expected_name).sort_values() tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\",\",\n \"pytest.raises(ValueError, match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place just leaves\",\n \"[[\\\"1\\\"]] # With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError,\",\n \"Series.drop_duplicates is tested separately expected_dropped = holder(pd.Series(idx).drop_duplicates(keep=keep)) tm.assert_index_equal(idx.drop_duplicates(keep=keep), expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if\",\n \"None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_union(self, index, fname,\",\n \"not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\", [\\\"first\\\", \\\"last\\\"])\",\n \"test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\",\",\n \"match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if\",\n \"`indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as np import\",\n \"fname, sname, expected_name): # GH35847 # Test intersections with various name combinations if\",\n \"# tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by definition. pytest.skip(\\\"Skip check for empty Index,\",\n \"# With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex):\",\n \"index.searchsorted(value, side=\\\"right\\\") assert expected_right == ss_right elif index.is_monotonic_decreasing: ssm_left = index._searchsorted_monotonic(value, side=\\\"left\\\") assert\",\n \"expected_duplicated) result_dropped = unique_idx.drop_duplicates() tm.assert_index_equal(result_dropped, unique_idx) # validate shallow copy assert result_dropped is\",\n \"got an unexpected keyword argument\\\" with pytest.raises(TypeError, match=msg): index.drop_duplicates(inplace=True) def test_has_duplicates(self, index): holder\",\n \"nothing to test if the index is empty if index.empty: pytest.skip(\\\"Skip check for\",\n \"'right') expected_left, expected_right = 0, (index == value).argmin() if expected_right == 0: #\",\n \"MultiIndex): index.names = [\\\"idx\\\" + str(i) for i in range(index.nlevels)] else: index.name =\",\n \"MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.intersection(subset)\",\n \"sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values) result =\",\n \"commented-out # with pytest.raises(TypeError, match=\\\"list-like\\\"): # # should still fail even if it\",\n \"of nd indexing @pytest.mark.filterwarnings(\\\"ignore::FutureWarning\\\") def test_getitem_error(self, index, itm): with pytest.raises(IndexError): index[itm] @pytest.mark.parametrize( \\\"fname,\",\n \"== new_name assert index.name == original_name res = index.rename(new_name, inplace=True) # should return\",\n \"GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\", [None, \\\"middle\\\"]) def\",\n \"# Test intersections with various name combinations if isinstance(index, MultiIndex) or not index.is_unique:\",\n \"conversions cannot succeed so we use a try / except result = index.astype(dtype)\",\n \"if not len(index): pytest.skip(\\\"Skip check for empty Index\\\") msg = \\\"Index does not\",\n \"= index.copy().set_names(sname) union = first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test copy.union(empty)\",\n \"RangeIndex)): # MultiIndex tested separately in: # tests/indexes/multi/test_unique_and_duplicates. # RangeIndex is unique by\",\n \"# test _searchsorted_monotonic in all cases # test searchsorted only for increasing if\",\n \"None), ], ) def test_union_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex) or\",\n \"be length expected_right = len(index) # test _searchsorted_monotonic in all cases # test\",\n \"to test if the index is empty if index.empty: pytest.skip(\\\"Skip check for empty\",\n \"in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as np import pytest from pandas._libs.tslibs\",\n \"index.name == name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import\",\n \"result.name == index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated\",\n \"indices, and Series to sort differently (xref 35922) pytest.xfail(\\\"sort_values does not support na_position\",\n \"\\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep):\",\n \"[\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level \\\\(wrong\\\\) does not match index name \\\\(None\\\\)'\\\",\",\n \"place just leaves tuples and other containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name,\",\n \"\\\"M\\\"]: # i.e. needs_i8_conversion but not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype)\",\n \"* missing_count, sorted_values]) else: sorted_values = np.concatenate([sorted_values, [None] * missing_count]) expected = type(index_with_missing)(sorted_values)\",\n \"duplicated index n = len(unique_idx) duplicated_selection = np.random.choice(n, int(n * 1.5)) idx =\",\n \"None, None), ], ) def test_intersect_unequal(self, index, fname, sname, expected_name): if isinstance(index, MultiIndex)\",\n \"# Some of these conversions cannot succeed so we use a try /\",\n \"name assert index.names == [name] def test_copy_and_deepcopy(self, index): from copy import copy, deepcopy\",\n \"new_name = \\\"This is the new name for this index\\\" # don't tests\",\n \"result.names == index.names else: assert result.name == index.name def test_ravel_deprecation(self, index): # GH#19956\",\n \"defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as np import pytest from\",\n \"idx_copy is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\\\"banana\\\") assert new_copy.name ==\",\n \"for MultiIndex or repeated indices\\\") # test copy.union(subset) - need sort for unicode\",\n \"vals = index.values[[0] * 5] vals[0] = np.nan vals_unique = vals[:2] if index.dtype.kind\",\n \"[False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not index._can_hold_na: pytest.skip(\\\"Skip\",\n \"+ str(i) for i in range(index.nlevels)] else: index.name = \\\"idx\\\" try: # Some\",\n \"# and doesn't contain nans. assert idx_unique.is_unique is True try: assert idx_unique.hasnans is\",\n \"with pytest.raises(ValueError): index.droplevel(level) for level in \\\"wrong\\\", [\\\"wrong\\\"]: with pytest.raises( KeyError, match=r\\\"'Requested level\",\n \"With .rename() with pytest.raises(TypeError, match=message): index.rename(name=renamed) # With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed)\",\n \"assert expected_left == ssm_left ssm_right = index._searchsorted_monotonic(value, side=\\\"right\\\") assert expected_right == ssm_right ss_left\",\n \"as tm class TestCommon: def test_droplevel(self, index): # GH 21115 if isinstance(index, MultiIndex):\",\n \"with pytest.raises(KeyError, match=msg): index.unique(level=\\\"wrong\\\") def test_get_unique_index(self, index): # MultiIndex tested separately if not\",\n \"test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple searches in MultiIndex #\",\n \"= len(index) # test _searchsorted_monotonic in all cases # test searchsorted only for\",\n \"expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname) intersect = first.intersection(second)\",\n \"range(index.nlevels)] else: index.name = \\\"idx\\\" try: # Some of these conversions cannot succeed\",\n \"test a CategoricalIndex because categories change (GH 18291) if isinstance(index, (MultiIndex, CategoricalIndex)): pytest.skip(\\\"Skip\",\n \"check for MultiIndex/IntervalIndex\\\") # nothing to test if the index is empty if\",\n \"MultiIndex) or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # Test copy.union(copy)\",\n \"= index.drop(index).set_names(sname) intersect = first.intersection(second) expected = index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname,\",\n \"test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning): index.ravel() @pytest.mark.parametrize(\\\"na_position\\\",\",\n \"if isinstance(index.name, tuple) and level is index.name: # GH 21121 : droplevel with\",\n \"in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") # nothing to\",\n \"na_position kwarg as part of # synchronizing duplicate-sorting behavior, because we currently expect\",\n \"None, None), (None, \\\"B\\\", None), (None, None, None), ], ) def test_corner_intersect(self, index,\",\n \"index[0] # determine the expected results (handle dupes for 'right') expected_left, expected_right =\",\n \"above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan = index._shallow_copy(vals) idx_unique_nan\",\n \"expected_dropped) def test_drop_duplicates_no_duplicates(self, index): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is tested separately\\\") # make\",\n \"zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result,\",\n \"original_name, index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name = original_name\",\n \"the `indices` fixture defined in pandas/tests/indexes/conftest.py. \\\"\\\"\\\" import re import numpy as np\",\n \"= index.drop(index).set_names(expected_name) tm.assert_index_equal(union, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\",\",\n \"= index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test empty.intersection(empty) first = index.drop(index).set_names(fname) second = index.drop(index).set_names(sname)\",\n \"match=\\\"Level must be None\\\"): index.set_names(\\\"a\\\", level=0) # rename in place just leaves tuples\",\n \"= first.union(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(union, expected) # Test empty.union(copy) first = index.drop(index).set_names(fname)\",\n \"is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def test_astype_preserves_name(self,\",\n \"index.name def test_ravel_deprecation(self, index): # GH#19956 ravel returning ndarray is deprecated with tm.assert_produces_warning(FutureWarning):\",\n \"not period_dtype, as above vals = type(index._data)._simple_new(vals, dtype=index.dtype) vals_unique = type(index._data)._simple_new(vals_unique, dtype=index.dtype) idx_nan\",\n \"def test_set_name_methods(self, index): new_name = \\\"This is the new name for this index\\\"\",\n \"dropna in [False, True]: result = idx._get_unique_index(dropna=dropna) tm.assert_index_equal(result, idx_unique) # nans: if not\",\n \"here (as its tested separated) # don't test a CategoricalIndex because categories change\",\n \"idx.has_duplicates is True @pytest.mark.parametrize( \\\"dtype\\\", [\\\"int64\\\", \\\"uint64\\\", \\\"float64\\\", \\\"category\\\", \\\"datetime64[ns]\\\", \\\"timedelta64[ns]\\\"], ) def\",\n \"With .set_names() with pytest.raises(TypeError, match=message): index.set_names(names=renamed) def test_constructor_unwraps_index(self, index): if isinstance(index, pd.MultiIndex): raise\",\n \"= list(set(index)) unique_idx = holder(unique_values) # make duplicated index n = len(unique_idx) duplicated_selection\",\n \"import pandas._testing as tm class TestCommon: def test_droplevel(self, index): # GH 21115 if\",\n \"index.view().name == index.name def test_searchsorted_monotonic(self, index): # GH17271 # not implemented for tuple\",\n \"len(index) # test _searchsorted_monotonic in all cases # test searchsorted only for increasing\",\n \"is_period_dtype(index.dtype): vals = index[[0] * 5]._data vals[0] = pd.NaT elif needs_i8_conversion(index.dtype): vals =\",\n \"Intervals searches in IntervalIndex if isinstance(index, (MultiIndex, pd.IntervalIndex)): pytest.skip(\\\"Skip check for MultiIndex/IntervalIndex\\\") #\",\n \"index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]): for i in [idx_nan,\",\n \"index.equals(unpickled) index.name = original_name def test_drop_duplicates(self, index, keep): if isinstance(index, MultiIndex): pytest.skip(\\\"MultiIndex is\",\n \"if na_position not in [\\\"first\\\", \\\"last\\\"]: with pytest.raises(ValueError, match=f\\\"invalid na_position: {na_position}\\\"): index_with_missing.sort_values(na_position=na_position) @pytest.mark.parametrize(\\\"na_position\\\",\",\n \"index.dtype assert idx_unique_nan.dtype == index.dtype for dropna, expected in zip([False, True], [idx_unique_nan, idx_unique]):\",\n \"= index.copy().set_names(sname) intersect = first.intersection(second) expected = index.copy().set_names(expected_name) tm.assert_index_equal(intersect, expected) # Test copy.intersection(empty)\",\n \"[\\\"first\\\", \\\"last\\\"]) def test_sort_values_with_missing(index_with_missing, na_position): # GH 35584. Test that sort_values works with\",\n \"index.drop(index).set_names(expected_name) tm.assert_index_equal(intersect, expected) @pytest.mark.parametrize( \\\"fname, sname, expected_name\\\", [ (\\\"A\\\", \\\"A\\\", \\\"A\\\"), (\\\"A\\\", \\\"B\\\",\",\n \"for i in [idx_nan, idx_unique_nan]: result = i._get_unique_index(dropna=dropna) tm.assert_index_equal(result, expected) def test_mutability(self, index):\",\n \"(CategoricalIndex, MultiIndex)): pytest.xfail(\\\"missing value sorting order not defined for index type\\\") missing_count =\",\n \"level in index.name, [index.name]: if isinstance(index.name, tuple) and level is index.name: # GH\",\n \"if isinstance(index, MultiIndex): pytest.skip(\\\"Skip check for MultiIndex\\\") original_name = index.name new_ind = index.set_names([new_name])\",\n \"no ._data\\\") a = index b = type(a)(a) tm.assert_equal(a._data, b._data) @pytest.mark.parametrize(\\\"itm\\\", [101, \\\"no_int\\\"])\",\n \"MultiIndex): pytest.skip(\\\"multiindex handled in test_multi.py\\\") message = \\\"Index.name must be a hashable type\\\"\",\n \"test_pickle(self, index): original_name, index.name = index.name, \\\"foo\\\" unpickled = tm.round_trip_pickle(index) assert index.equals(unpickled) index.name\",\n \"or not index.is_unique: pytest.skip(\\\"Not for MultiIndex or repeated indices\\\") # test copy.intersection(subset) -\",\n \"sname, expected_name): # GH 9943 9862 # Test unions with various name combinations\",\n \"containers alone name = (\\\"A\\\", \\\"B\\\") index.rename(name, inplace=True) assert index.name == name assert\"\n]","isConversational":false}}},{"rowIdx":753,"cells":{"ngram":{"kind":"list like","value":["-39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:,","TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ()","x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608,","does not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","-39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02],","OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if","SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True])","test is a bit bogus, there since the model does not have contacts","dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test","decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626,","else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else:","nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp","@pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp =",") else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928,","0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, )","np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525,","[6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01,","= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure,","ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp,","biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds =","-15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02,","0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688,","states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q,","[False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program","states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out","x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491,","NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx =","with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]","import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases","x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919,","0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal(","True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx):","with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(","0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01,","contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959,","-7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02],","bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums","-1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01,","np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if","Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) #","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719],","58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289,","6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def","OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42)","program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns =","np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact:",") nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1))","nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder()","SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions","the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns","58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01,","5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds","\"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces","7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force:","0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411,","x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779,","-0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force:","-4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501,","controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:,","1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ],","with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics","-5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\",","else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01,","[-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425,","0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True])","np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test","= DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq =","-7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0],","0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384,","3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(","35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True])","[0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0],","else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\",","3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if",") nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1))","128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173,","nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls,","with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288,","[False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()","np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485,","[ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01,","nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds",") else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00,","np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states,","\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3,","np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973,","x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations:","parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot =","ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),","NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics","nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test","[-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131,","test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q =","0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ],","model does not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:,","1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False","def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True)","19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal(","qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp,","np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else:","external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp,","import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from","SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare","ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force:","DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp,","x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:,","0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02,","import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp]","= biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds","np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01,","np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic,","= [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp)","DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram","OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def","nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp,","7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX])","1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ],","1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp,","ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces =","@pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\",","2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739,","0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, )","1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False,","self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\",","ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp,","nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces =","else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] )","-7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:,","1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [","True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp)","0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def","53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01,","# Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\"","import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import","9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","[False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare","from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp","DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq","-4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01,","[0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997,","Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces","0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366,","nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1))","controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306,","[ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\",","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816,","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786,","0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0],","0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else:","bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from","SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare","biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface","the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns","x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0],","x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:,","1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0],","[0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865,","35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact,","8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal(","0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194,","nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1))","np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type =","with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states)","3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True])","\"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp)","[ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029,","0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00,","[ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01,","0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0],","0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01,","nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX])","ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False","-0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0],",") nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 +","nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\",","with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622,","Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces =","nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(),","np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN,","controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot","np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls,","tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q,","+ nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT","decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False,","-0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2,",") np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states","NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]","], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791,","def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =","0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ],","np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp)","0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal(","nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx = cx","np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729,","ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),","np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal(","[False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program","1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True])",") @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force,","nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5","import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram:","= MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp","bogus, there since the model does not have contacts if with_torque: if with_excitations:","True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp =","@pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque,","with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder()","0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX,","3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01,","0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], )","8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal(","0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0],",") else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, )","from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils","0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124])","0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735,","@pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp =",") else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02,","cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1))",") else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02],","1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42)","-0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else:","there since the model does not have contacts if with_torque: if with_excitations: if","NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,","True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model","-16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176,","decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False)","nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: #","import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils","[False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations,","5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(),","np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0],","0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0],","[ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937,","nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp)","DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq =","\"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]","return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False)","from casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem","@pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp =","np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729,","7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:,","= DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq","True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035,","-1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal(","biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds =","OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ),",") np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596,","= ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare","[ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995,","= NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx","36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289,","0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], )","0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ],","DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,","4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501,","[0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516,","111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314,","with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces","else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00,","], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00,","= np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type","-24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636,","3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114,","0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:,","= np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956,","params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] )","nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp","\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2","= np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type","nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(","ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact)","np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal(","else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626,","-3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587],","else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], )","controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params))","0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485,","36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0],","-7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal(","@pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): #","program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns =","with_contact: # Warning this test is a bit bogus, there since the model","from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics","MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import","else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01,","np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016,","nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5","np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact),","0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False,","np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164,","0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905,","2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare","pytest import numpy as np from casadi import MX, SX import biorbd_casadi as","[ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717,","0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01,",") else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00,","False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact:","nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results","np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare","0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374,","ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) #","0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549])","[False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()","bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem","], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01,","if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928,","= np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out =","False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0]","[ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717,","-0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX])","Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces","if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449,","= np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938,","[MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False,","q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def",") @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True])","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778,","= np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states,","1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791,","dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls =","[0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01,","ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if","], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact,","have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501,","@pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the","DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"],","= ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces","[0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936,","= DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot,","0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force:","bit bogus, there since the model does not have contacts if with_torque: if",") else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, )","= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42)","0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:,","states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp,",") np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [",") np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] #",") else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501,","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else:","q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq","np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956,","DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() +","import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import","np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343,","False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0]","decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [","\"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces","0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477,","nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp)","x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:,","0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439,","0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071,","4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [","nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"],","ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn,","= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN,","0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:,","def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()","<filename>tests/test_dynamics.py import pytest import numpy as np from casadi import MX, SX import","def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\",","-0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071,","with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518,","1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact),","x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal(","def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =","dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp,","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315,","= 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds =","np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589,","ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType","bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp):","-1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,","OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces","nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], )","from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from","6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6,","-9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366,","1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def","test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(","6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal(","5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(),","from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from","import numpy as np from casadi import MX, SX import biorbd_casadi as biorbd","True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model","NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,","[1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact):","OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if","0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if","0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332,","qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False)","BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector","np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\",","), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces =","[0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\",","6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6,","nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = MX","-9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [","x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else:","nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1))","else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778,","0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [","[-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791,","-0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596,","5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01,","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5,","-2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928,","[False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp","0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596,","Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params =","= 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds =","DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau,","bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program","class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v =","= [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False,","nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN,","else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164,","0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289,","-24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716]","BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states =","-16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else:","0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else:","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02,","True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact,","0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411,","else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778,","2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778,","else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6,","2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(","if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [","-7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136,","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956,","params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574,","Warning this test is a bit bogus, there since the model does not","True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp",") @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) ->","from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from","TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v","6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01,","ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program","-2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01,","with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces =","= biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds","decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01,","controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503,","nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns)","the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape,","= np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if","nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\",","0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal(","0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else:","1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False,","nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force:","3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:,","0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], )","[False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program","-0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False,","nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False,","ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the","nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls)","0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX])","-9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal(","[MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): #","controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092,","def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q","biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds =","np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, )","0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735,","if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174,","0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:,","-9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force:","= np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this","with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),","decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6,","* 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT","0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], )","-2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01,",") np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485,","params)) if with_contact: # Warning this test is a bit bogus, there since","-> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau","+ \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() *","with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic,",") np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [","Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" )","x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX,","= np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force:","np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01,","-10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\",","Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces =","1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal(","False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] #","ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False )","55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [","np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact),","False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results","= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact,","numpy as np from casadi import MX, SX import biorbd_casadi as biorbd from","x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5,","with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923,","np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if","bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class","-0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal(","nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params))","0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425,","18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:,","TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ()","21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121])","6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if","0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ],","= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact),","0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366,","= np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp =","45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6,","with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973,","np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01,",") @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force,","0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal(","128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739,","DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp,","0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False,","= ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, )","a bit bogus, there since the model does not have contacts if with_torque:",") np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449,","0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0],","ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),","Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns)","if with_contact: # Warning this test is a bit bogus, there since the","0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ],","controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact)","contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626,","0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124])","-3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True])","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956],","nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) #","45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0],","-7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516,","0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173,","= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN,","ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp,","-0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:,","= np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is a bit","x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608,","-8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00,","qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau = DynamicsFunctions.get(nlp.controls[\"tau\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot)","np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, )","+ \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() *","test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(","0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ],","0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01,","contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905,","cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp =","with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True,","DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases =","-28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02,","np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False)","0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else:","0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574])","x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0],","[1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force:","if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034,","x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078,","7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, )","@pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple:","@pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx):","params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def","0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:,","params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out =","True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp","0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477,","with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram()","[False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force,","\"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]","[-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01,","111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164,","contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942,",") np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343,","3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp,","if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model","x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal(","0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485,","np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type =","np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:,","-5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626,","True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp,","2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642],","# Warning this test is a bit bogus, there since the model does","= cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp","np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735,",") else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288],","with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833,","0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735,","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022,","50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01,","= 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds =","3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:,","Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1","[ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else:","False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven)","else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642,","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], )","0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal(","params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning","since the model does not have contacts if with_torque: if with_excitations: if with_external_force:","48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01,","controls, params)) if with_contact: # Warning this test is a bit bogus, there","else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705,","= biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds","x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00,","128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956,","this test is a bit bogus, there since the model does not have","ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(","= BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states","def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"],","dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return","decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174,","controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716]","True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the","the model does not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal(","controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529,","np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332,","np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735,","= cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(),","nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force:","8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False,","= ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces","nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds","test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(","@pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the","1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False","1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01,","if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857,","x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque:","nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds =","params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786,","SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare","0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01,","], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\",","329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01,","if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the","= NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" ) nlp.ns = 5 nlp.cx","1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque,","ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42)","= np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:,","as np from casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem","0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal(","], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02,","0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True])","-9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else:","np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states =","7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, )","[109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256,","__init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX,","21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529,","[-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054,","-9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0],","from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self,","7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states,","MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp =","TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ()","\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3,","0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if","else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], )","], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface","custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp =","x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is a","x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0],","1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp,","decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02,","nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx","decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],","0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if","2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type =","= DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq,","import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import","nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the","0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else:","-2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True])","is a bit bogus, there since the model does not have contacts if","-9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else:","np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402,","else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else:","x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5,","= np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942,","1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01,","= 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1))","[1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations:","= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False )","params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176,","casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from","* 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT","np from casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import","+ \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() *","], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705,","= 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False,","test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model","-9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp,","np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887,","configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp,","0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289,","the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls","-53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0],","nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is","-263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01,","], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02,","5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(),","0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], )","# Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\"","# Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params","# Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape,","[False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters,","0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else:","@pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx):","2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02,","cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp =","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03,","np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is a bit bogus,","[False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()","np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ],","with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal(","with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0]","0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00,",".utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp =","np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ],","with_contact, with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =","1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,","36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173,","0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\",","contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833,","0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136,","with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034,","29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00,","with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model =","tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states) qdot = DynamicsFunctions.get(nlp.states[\"qdot\"], states) tau =","OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force,","True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp","not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [",") np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485,","from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from",") else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173,","NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import",") else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642],","0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\",","-9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls,","def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =","np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False,","else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5,","-0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force:","3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters,","0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if","0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121])","True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model","nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds","x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01,","* 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315],","custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\"q\"], states)","= DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None):","= np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(","@pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program","[-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956,","0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if","@pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) @pytest.mark.parametrize(\"with_torque\", [False, True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def","= OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact,","0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\",",") nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1))","= cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp","], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289,","-4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01,","= ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,","ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False,","6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX,","import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import","[nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True])","params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306,","with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the","bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector","0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,","[ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293,","[MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): #","ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations,","np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092,","46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [","63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00,","[MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): #","ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces =","q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True,","self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def","tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp,","6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\",","Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\" )","True]) @pytest.mark.parametrize(\"with_excitations\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the","0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else:","np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:,","1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\",","OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self)","@pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx):","@pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the","3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if","-33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:,","-9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force:","NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if","0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596,","cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() +","-10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\", [False, True]) @pytest.mark.parametrize(\"with_contact\", [False, True])","import pytest import numpy as np from casadi import MX, SX import biorbd_casadi","= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42)","decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596,","else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03,","= np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131,","ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False )","0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0],","self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\"cx\", [MX, SX]) @pytest.mark.parametrize(\"with_external_force\",","NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx =","if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, )","= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \"dynamics_type\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force:","np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:,","0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], )","as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import","[np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) #","import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions","results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns)","ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape,","3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,","-0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865,","if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631,"],"string":"[\n \"-39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ()\",\n \"x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608,\",\n \"does not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"-39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02],\",\n \"OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if\",\n \"SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True])\",\n \"test is a bit bogus, there since the model does not have contacts\",\n \"dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test\",\n \"decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626,\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else:\",\n \"nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp\",\n \"@pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp =\",\n \") else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928,\",\n \"0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, )\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525,\",\n \"[6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01,\",\n \"= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure,\",\n \"ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp,\",\n \"biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds =\",\n \"-15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02,\",\n \"0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688,\",\n \"states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q,\",\n \"[False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program\",\n \"states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out\",\n \"x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491,\",\n \"NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx =\",\n \"with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]\",\n \"import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases\",\n \"x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919,\",\n \"0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal(\",\n \"True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx):\",\n \"with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(\",\n \"0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01,\",\n \"contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959,\",\n \"-7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02],\",\n \"bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums\",\n \"-1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01,\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if\",\n \"Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) #\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719],\",\n \"58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289,\",\n \"6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def\",\n \"OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42)\",\n \"program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns =\",\n \"np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact:\",\n \") nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1))\",\n \"nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder()\",\n \"SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions\",\n \"the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns\",\n \"58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01,\",\n \"5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds\",\n \"\\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces\",\n \"7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force:\",\n \"0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411,\",\n \"x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779,\",\n \"-0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force:\",\n \"-4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501,\",\n \"controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ],\",\n \"with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics\",\n \"-5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\",\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01,\",\n \"[-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425,\",\n \"0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True])\",\n \"np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test\",\n \"= DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq =\",\n \"-7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384,\",\n \"3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(\",\n \"35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True])\",\n \"[0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\",\",\n \"3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if\",\n \") nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1))\",\n \"128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173,\",\n \"nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls,\",\n \"with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288,\",\n \"[False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485,\",\n \"[ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01,\",\n \"nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00,\",\n \"np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states,\",\n \"\\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3,\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973,\",\n \"x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations:\",\n \"parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot =\",\n \"ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),\",\n \"NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics\",\n \"nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test\",\n \"[-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131,\",\n \"test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q =\",\n \"0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ],\",\n \"model does not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False\",\n \"def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True)\",\n \"19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal(\",\n \"qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp,\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else:\",\n \"external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp,\",\n \"import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from\",\n \"SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare\",\n \"ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force:\",\n \"DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp,\",\n \"x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:,\",\n \"0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02,\",\n \"import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp]\",\n \"= biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01,\",\n \"np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic,\",\n \"= [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp)\",\n \"DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram\",\n \"OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def\",\n \"nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp,\",\n \"7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX])\",\n \"1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ],\",\n \"1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp,\",\n \"ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces =\",\n \"@pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\",\",\n \"2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739,\",\n \"0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, )\",\n \"1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False,\",\n \"self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\",\",\n \"ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp,\",\n \"nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces =\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] )\",\n \"-7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:,\",\n \"1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp)\",\n \"0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def\",\n \"53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01,\",\n \"# Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\"\",\n \"import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import\",\n \"9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"[False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare\",\n \"from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp\",\n \"DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq\",\n \"-4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01,\",\n \"[0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997,\",\n \"Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces\",\n \"0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366,\",\n \"nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1))\",\n \"controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306,\",\n \"[ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\",\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816,\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786,\",\n \"0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0],\",\n \"0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else:\",\n \"bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from\",\n \"SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare\",\n \"biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface\",\n \"the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns\",\n \"x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0],\",\n \"x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:,\",\n \"1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"[0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865,\",\n \"35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact,\",\n \"8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal(\",\n \"0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194,\",\n \"nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1))\",\n \"np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type =\",\n \"with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states)\",\n \"3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True])\",\n \"\\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp)\",\n \"[ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029,\",\n \"0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00,\",\n \"[ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01,\",\n \"0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01,\",\n \"nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX])\",\n \"ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False\",\n \"-0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \") nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 +\",\n \"nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\",\",\n \"with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622,\",\n \"Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces =\",\n \"nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(),\",\n \"np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN,\",\n \"controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot\",\n \"np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls,\",\n \"tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q,\",\n \"+ nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT\",\n \"decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False,\",\n \"-0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"\\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2,\",\n \") np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states\",\n \"NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]\",\n \"], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791,\",\n \"def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =\",\n \"0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ],\",\n \"np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp)\",\n \"0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal(\",\n \"nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729,\",\n \"ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),\",\n \"np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal(\",\n \"[False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program\",\n \"1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True])\",\n \") @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force,\",\n \"nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5\",\n \"import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram:\",\n \"= MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp\",\n \"bogus, there since the model does not have contacts if with_torque: if with_excitations:\",\n \"True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp =\",\n \"@pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque,\",\n \"with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder()\",\n \"0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX,\",\n \"3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01,\",\n \"0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], )\",\n \"8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal(\",\n \"0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0],\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, )\",\n \"from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils\",\n \"0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124])\",\n \"0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735,\",\n \"@pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp =\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02,\",\n \"cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1))\",\n \") else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02],\",\n \"1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42)\",\n \"-0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else:\",\n \"there since the model does not have contacts if with_torque: if with_excitations: if\",\n \"NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,\",\n \"True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model\",\n \"-16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176,\",\n \"decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False)\",\n \"nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: #\",\n \"import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils\",\n \"[False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations,\",\n \"5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(),\",\n \"np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0],\",\n \"0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0],\",\n \"[ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937,\",\n \"nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp)\",\n \"DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq =\",\n \"\\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]\",\n \"return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False)\",\n \"from casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem\",\n \"@pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp =\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729,\",\n \"7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"= DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq\",\n \"True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035,\",\n \"-1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal(\",\n \"biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds =\",\n \"OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ),\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596,\",\n \"= ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare\",\n \"[ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995,\",\n \"= NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx\",\n \"36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289,\",\n \"0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], )\",\n \"0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ],\",\n \"DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,\",\n \"4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501,\",\n \"[0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516,\",\n \"111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314,\",\n \"with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00,\",\n \"], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00,\",\n \"= np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type\",\n \"-24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636,\",\n \"3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114,\",\n \"0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:,\",\n \"= np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956,\",\n \"params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] )\",\n \"nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp\",\n \"\\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2\",\n \"= np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type\",\n \"nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(\",\n \"ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact)\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal(\",\n \"else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626,\",\n \"-3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587],\",\n \"else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], )\",\n \"controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params))\",\n \"0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485,\",\n \"36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"-7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal(\",\n \"@pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): #\",\n \"program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns =\",\n \"with_contact: # Warning this test is a bit bogus, there since the model\",\n \"from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics\",\n \"MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import\",\n \"else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01,\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016,\",\n \"nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5\",\n \"np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact),\",\n \"0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False,\",\n \"np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164,\",\n \"0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905,\",\n \"2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare\",\n \"pytest import numpy as np from casadi import MX, SX import biorbd_casadi as\",\n \"[ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717,\",\n \"0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01,\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00,\",\n \"False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact:\",\n \"nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results\",\n \"np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare\",\n \"0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374,\",\n \"ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) #\",\n \"0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549])\",\n \"[False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()\",\n \"bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem\",\n \"], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01,\",\n \"if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928,\",\n \"= np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out =\",\n \"False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0]\",\n \"[ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717,\",\n \"-0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX])\",\n \"Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces\",\n \"if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449,\",\n \"= np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938,\",\n \"[MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False,\",\n \"q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def\",\n \") @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True])\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778,\",\n \"= np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states,\",\n \"1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791,\",\n \"dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls =\",\n \"[0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01,\",\n \"ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if\",\n \"], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact,\",\n \"have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501,\",\n \"@pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the\",\n \"DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"],\",\n \"= ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces\",\n \"[0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936,\",\n \"= DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot,\",\n \"0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force:\",\n \"bit bogus, there since the model does not have contacts if with_torque: if\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, )\",\n \"= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42)\",\n \"0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp,\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \") np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] #\",\n \") else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501,\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else:\",\n \"q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq\",\n \"np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956,\",\n \"DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() +\",\n \"import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343,\",\n \"False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0]\",\n \"decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"\\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces\",\n \"0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477,\",\n \"nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp)\",\n \"x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439,\",\n \"0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071,\",\n \"4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"],\",\n \"ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn,\",\n \"= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN,\",\n \"0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()\",\n \"<filename>tests/test_dynamics.py import pytest import numpy as np from casadi import MX, SX import\",\n \"def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\",\",\n \"-0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071,\",\n \"with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518,\",\n \"1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact),\",\n \"x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal(\",\n \"def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =\",\n \"dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp,\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315,\",\n \"= 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds =\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589,\",\n \"ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType\",\n \"bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp):\",\n \"-1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces\",\n \"nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], )\",\n \"from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from\",\n \"6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6,\",\n \"-9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366,\",\n \"1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def\",\n \"test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(\",\n \"6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal(\",\n \"5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(),\",\n \"from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from\",\n \"import numpy as np from casadi import MX, SX import biorbd_casadi as biorbd\",\n \"True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model\",\n \"NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,\",\n \"[1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact):\",\n \"OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if\",\n \"0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if\",\n \"0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332,\",\n \"qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False)\",\n \"BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\",\",\n \"), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces =\",\n \"[0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\",\",\n \"6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6,\",\n \"nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = MX\",\n \"-9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else:\",\n \"nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1))\",\n \"else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778,\",\n \"0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"[-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791,\",\n \"-0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596,\",\n \"5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01,\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5,\",\n \"-2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928,\",\n \"[False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp\",\n \"0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596,\",\n \"Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params =\",\n \"= 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds =\",\n \"DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau,\",\n \"bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program\",\n \"class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v =\",\n \"= [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False,\",\n \"nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN,\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164,\",\n \"0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289,\",\n \"-24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716]\",\n \"BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states =\",\n \"-16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else:\",\n \"0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else:\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02,\",\n \"True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact,\",\n \"0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411,\",\n \"else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778,\",\n \"2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778,\",\n \"else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6,\",\n \"2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(\",\n \"if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"-7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136,\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956,\",\n \"params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574,\",\n \"Warning this test is a bit bogus, there since the model does not\",\n \"True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp\",\n \") @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) ->\",\n \"from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from\",\n \"TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v\",\n \"6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01,\",\n \"ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program\",\n \"-2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01,\",\n \"with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces =\",\n \"= biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds\",\n \"decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01,\",\n \"controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503,\",\n \"nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns)\",\n \"the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape,\",\n \"= np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if\",\n \"nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\",\",\n \"0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal(\",\n \"0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else:\",\n \"1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False,\",\n \"nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force:\",\n \"3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], )\",\n \"[False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program\",\n \"-0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False,\",\n \"nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False,\",\n \"ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) # Prepare the\",\n \"nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls)\",\n \"0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX])\",\n \"-9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal(\",\n \"[MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): #\",\n \"controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092,\",\n \"def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q\",\n \"biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds =\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, )\",\n \"0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735,\",\n \"if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174,\",\n \"0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:,\",\n \"-9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force:\",\n \"= np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this\",\n \"with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),\",\n \"decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6,\",\n \"* 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT\",\n \"0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], )\",\n \"-2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01,\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485,\",\n \"params)) if with_contact: # Warning this test is a bit bogus, there since\",\n \"-> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau\",\n \"+ \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() *\",\n \"with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic,\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" )\",\n \"x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX,\",\n \"= np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force:\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01,\",\n \"-10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\",\",\n \"Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces =\",\n \"1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal(\",\n \"False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] #\",\n \"ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False )\",\n \"55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact),\",\n \"False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results\",\n \"= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact,\",\n \"numpy as np from casadi import MX, SX import biorbd_casadi as biorbd from\",\n \"x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5,\",\n \"with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923,\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if\",\n \"bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class\",\n \"-0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal(\",\n \"nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params))\",\n \"0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425,\",\n \"18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:,\",\n \"TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ()\",\n \"21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121])\",\n \"6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if\",\n \"0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ],\",\n \"= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact),\",\n \"0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366,\",\n \"= np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp =\",\n \"45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6,\",\n \"with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973,\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01,\",\n \") @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force,\",\n \"0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal(\",\n \"128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739,\",\n \"DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp,\",\n \"0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False,\",\n \"= ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, )\",\n \"a bit bogus, there since the model does not have contacts if with_torque:\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449,\",\n \"0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0],\",\n \"ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(),\",\n \"Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns)\",\n \"if with_contact: # Warning this test is a bit bogus, there since the\",\n \"0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ],\",\n \"controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact)\",\n \"contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626,\",\n \"0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124])\",\n \"-3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True])\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956],\",\n \"nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False ) np.random.seed(42) #\",\n \"45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"-7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516,\",\n \"0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173,\",\n \"= np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN,\",\n \"ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp,\",\n \"-0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:,\",\n \"= np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is a bit\",\n \"x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608,\",\n \"-8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00,\",\n \"qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau = DynamicsFunctions.get(nlp.controls[\\\"tau\\\"], controls) dq = DynamicsFunctions.compute_qdot(nlp, q, qdot)\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, )\",\n \"+ \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() *\",\n \"test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(\",\n \"0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ],\",\n \"0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01,\",\n \"contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905,\",\n \"cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp =\",\n \"with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True,\",\n \"DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases =\",\n \"-28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02,\",\n \"np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False)\",\n \"0.64241928, 0.91952705, -39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else:\",\n \"0.11959, 0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574])\",\n \"x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0],\",\n \"[1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else: if with_excitations: if with_external_force:\",\n \"if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034,\",\n \"x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402, 0.4271078,\",\n \"7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, )\",\n \"@pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple:\",\n \"@pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx):\",\n \"params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def\",\n \"0.4271078, 0.417411, 0.3232029, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:,\",\n \"params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out =\",\n \"True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp\",\n \"0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477,\",\n \"with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram()\",\n \"[False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force,\",\n \"\\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)]\",\n \"[-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01,\",\n \"111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164,\",\n \"contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942,\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343,\",\n \"3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp,\",\n \"if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model\",\n \"x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal(\",\n \"0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485,\",\n \"np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type =\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:,\",\n \"-5.20261014e00, -2.80864106e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626,\",\n \"True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp,\",\n \"2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642],\",\n \"# Warning this test is a bit bogus, there since the model does\",\n \"= cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735,\",\n \") else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288],\",\n \"with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833,\",\n \"0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735,\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857, 36.21815923, 46.87928022,\",\n \"50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01,\",\n \"= 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds =\",\n \"3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1\",\n \"[ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else:\",\n \"False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven)\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642,\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], )\",\n \"0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal(\",\n \"params = np.random.rand(nlp.parameters.shape, nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning\",\n \"since the model does not have contacts if with_torque: if with_excitations: if with_external_force:\",\n \"48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01,\",\n \"controls, params)) if with_contact: # Warning this test is a bit bogus, there\",\n \"else: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 0.91952705,\",\n \"= biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds\",\n \"x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00,\",\n \"128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.86310343, 0.32518332, 0.11959425, 0.4937956,\",\n \"this test is a bit bogus, there since the model does not have\",\n \"ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(\",\n \"= BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states\",\n \"def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"],\",\n \"dq = DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return\",\n \"decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174,\",\n \"controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716]\",\n \"True) ConfigureProblem.configure_dynamics_function(ocp, nlp, custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the\",\n \"the model does not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal(\",\n \"controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529,\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332,\",\n \"np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735,\",\n \"= cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(),\",\n \"nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force:\",\n \"8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False,\",\n \"= ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces\",\n \"nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds\",\n \"test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model(\",\n \"@pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the\",\n \"1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DERIVATIVE_DRIVEN, with_contact=with_contact), False\",\n \"1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01,\",\n \"if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.6158501, 0.50313626, 0.64241928, 1.07179622, -33.76217857,\",\n \"x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque:\",\n \"nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds =\",\n \"params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786,\",\n \"SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare\",\n \"0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01,\",\n \"], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\",\",\n \"329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01,\",\n \"if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the\",\n \"= NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" ) nlp.ns = 5 nlp.cx\",\n \"1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque,\",\n \"ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42)\",\n \"= np.array(nlp.dynamics_func(states, controls, params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:,\",\n \"as np from casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem\",\n \"0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal(\",\n \"], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02,\",\n \"0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True])\",\n \"-9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00, -2.80864106e01, ], decimal=6, ) else:\",\n \"np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states =\",\n \"7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, )\",\n \"[109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256,\",\n \"__init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX,\",\n \"21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.6118529,\",\n \"[-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.32149054,\",\n \"-9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import TestUtils class OptimalControlProgram: def __init__(self,\",\n \"7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states,\",\n \"MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp =\",\n \"TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ()\",\n \"\\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = MX nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3,\",\n \"0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], )\",\n \"], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface\",\n \"custom_dynamic, with_contact=with_contact) if with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp =\",\n \"x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is a\",\n \"x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp,\",\n \"decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02,\",\n \"nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx\",\n \"decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if\",\n \"2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type =\",\n \"= DynamicsFunctions.compute_qdot(nlp, q, qdot) ddq = DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq,\",\n \"import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import\",\n \"nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the\",\n \"0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else:\",\n \"-2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True])\",\n \"is a bit bogus, there since the model does not have contacts if\",\n \"-9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else:\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315, 0.8074402,\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02, -4.33291346e02], decimal=6, ) else:\",\n \"x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5,\",\n \"= np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942,\",\n \"1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01,\",\n \"= 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2 + nlp.model.nbMuscles(), 1))\",\n \"[1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) else: if with_torque: if with_excitations:\",\n \"= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(configure, dynamic_function=custom_dynamic, with_contact=with_contact), False )\",\n \"params)) if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176,\",\n \"casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from\",\n \"* 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT\",\n \"np from casadi import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import\",\n \"+ \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() *\",\n \"], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705,\",\n \"= 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False,\",\n \"test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model\",\n \"-9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp,\",\n \"np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631, 0.32518, 0.11959, 0.4938, 19.01887,\",\n \"configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False, True) ConfigureProblem.configure_dynamics_function(ocp,\",\n \"0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289,\",\n \"the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls\",\n \"-53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"nlp.ns) x_out = np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is\",\n \"-263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01,\",\n \"], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02,\",\n \"5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(),\",\n \"0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], )\",\n \"# Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\"\",\n \"# Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params\",\n \"# Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape,\",\n \"[False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters,\",\n \"0.4938, 19.01887, 18.51503, -53.08574, 58.48719], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else:\",\n \"@pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx):\",\n \"2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -3.80892207e00, 1.20476051e02,\",\n \"cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp =\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03,\",\n \"np.array(nlp.dynamics_func(states, controls, params)) if with_contact: # Warning this test is a bit bogus,\",\n \"[False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram()\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ],\",\n \"with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal(\",\n \"with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0]\",\n \"0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02, -7.72228930e00, -1.13759732e01, 9.51906209e01, 4.45077128e00, -5.20261014e00,\",\n \".utils import TestUtils class OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp =\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [ 8.63103426e-01, 3.25183322e-01, 1.19594246e-01, 4.93795596e-01, 1.73558072e01, -4.69891264e01, 1.81396922e02, 3.61170139e03, ],\",\n \"with_contact, with_torque, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =\",\n \"1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"36.02430956], ) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173,\",\n \"0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\",\",\n \"contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833,\",\n \"0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136,\",\n \"with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034,\",\n \"29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00,\",\n \"with_contact: ConfigureProblem.configure_contact_function(ocp, nlp, DynamicsFunctions.forces_from_torque_driven) # Prepare the program nlp = NonLinearProgram() nlp.model =\",\n \"tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states) qdot = DynamicsFunctions.get(nlp.states[\\\"qdot\\\"], states) tau =\",\n \"OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force,\",\n \"True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): # Prepare the program nlp\",\n \"not have contacts if with_torque: if with_excitations: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \") np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485,\",\n \"from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173,\",\n \"NonLinearProgram from bioptim.optimization.optimization_vector import OptimizationVector from bioptim.dynamics.configure_problem import DynamicsFcn, Dynamics from .utils import\",\n \") else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642],\",\n \"0.60754485, 0.80839735, -0.30241366, -10.38503791, 1.60445173, 35.80238642, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\",\",\n \"-9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls,\",\n \"def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model =\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.72712350e00, 3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False,\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596, 0.60754485, 0.80839735, 0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5,\",\n \"-0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force:\",\n \"3.10866170e02, -9.82725656e02], decimal=6, ) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_custom_dynamics(with_contact): def custom_dynamic(states, controls, parameters,\",\n \"0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if\",\n \"0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121])\",\n \"True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): # Prepare the program nlp = NonLinearProgram() nlp.model\",\n \"nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 3, 1)) nlp.u_bounds\",\n \"x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00, 3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01,\",\n \"* 2 + nlp.model.nbMuscles(), 1)) nlp.u_bounds = np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315],\",\n \"custom_dynamic(states, controls, parameters, nlp, with_contact=False) -> tuple: DynamicsFunctions.apply_parameters(parameters, nlp) q = DynamicsFunctions.get(nlp.states[\\\"q\\\"], states)\",\n \"= DynamicsFunctions.forward_dynamics(nlp, q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None):\",\n \"= np.zeros((nlp.model.nbMuscles(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(\",\n \"@pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the program\",\n \"[-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.86310343, 0.32518332, 0.11959425, 0.4937956,\",\n \"0.78455384, -0.16844256, -1.56184114, 1.97658587], decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [-7.88958997, 329.70828173, -263.55516549]) else: if\",\n \"@pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) @pytest.mark.parametrize(\\\"with_torque\\\", [False, True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def\",\n \"= OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact,\",\n \"0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\",\",\n \") nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1))\",\n \"= cx nlp.x_bounds = np.zeros((nlp.model.nbQ() * 2, 1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp\",\n \"], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289,\",\n \"-4.69891264e01, 1.81396922e02, 3.61170139e03, ], decimal=5, ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01,\",\n \"= ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force: external_forces = [np.random.rand(6,\",\n \"ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp, True, False) ConfigureProblem.configure_tau(nlp, False,\",\n \"6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX,\",\n \"import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import\",\n \"[nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True])\",\n \"params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [ 0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092, -7.5782306,\",\n \"with_contact=with_contact), False ) np.random.seed(42) # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) # Test the\",\n \"bioptim.interfaces.biorbd_interface import BiorbdInterface from bioptim.misc.enums import ControlType from bioptim.optimization.non_linear_program import NonLinearProgram from bioptim.optimization.optimization_vector\",\n \"0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865, 2.7245124]) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"[ 0.86310343, 0.32518332, 0.11959425, 0.4937956, 0.30731739, -9.97912778, 1.15263778, 36.02430956, 0.80744016, 0.42710779, 0.417411, 0.32320293,\",\n \"[MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_derivative_driven(with_contact, with_external_force, cx): #\",\n \"ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations,\",\n \"np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631034, 0.3251833, 0.1195942, 0.4937956, -7.7700092,\",\n \"46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [\",\n \"63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 1.83404510e-01, 6.11852895e-01, 7.85175961e-01, -9.29662878e00,\",\n \"[MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx): #\",\n \"ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42) if with_external_force: external_forces =\",\n \"q, qdot, tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True,\",\n \"self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def\",\n \"tau, with_contact) return dq, ddq def configure(ocp, nlp, with_contact=None): ConfigureProblem.configure_q(nlp, True, False) ConfigureProblem.configure_qdot(nlp,\",\n \"6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03, ], decimal=5, ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\",\",\n \"Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/muscle_driven_ocp/models/arm26_with_contact.bioMod\\\" )\",\n \"True]) @pytest.mark.parametrize(\\\"with_excitations\\\", [False, True]) def test_muscle_driven(with_excitations, with_contact, with_torque, with_external_force, cx): # Prepare the\",\n \"0.1195942, 0.4937956, -7.7700092, -7.5782306, 21.7073786, -16.3059315], ) np.testing.assert_almost_equal(contact_out[:, 0], [-47.8131136, 111.1726516, -24.4449121]) else:\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.6158501, 0.50313626, 0.64241928, 0.91952705, -39.04876174, 45.31837288], ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"1)) nlp.u_bounds = np.zeros((nlp.model.nbQ(), 1)) ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\",\",\n \"OptimalControlProgram: def __init__(self, nlp): self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self)\",\n \"@pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_driven(with_contact, with_external_force, cx):\",\n \"@pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True]) def test_torque_activation_driven(with_contact, with_external_force, cx): # Prepare the\",\n \"3.00872062e02, -9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if\",\n \"-33.76217857, 36.21815923, 46.87928022, -1.80189035, 53.3914525, 48.30056919, 63.69373374, -28.15700995, ], ) else: np.testing.assert_almost_equal( x_out[:,\",\n \"-9.50354903e02, 8.60630831e00, 3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force:\",\n \"NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics( DynamicsFcn.MUSCLE_DRIVEN, with_torque=with_torque, with_excitations=with_excitations, with_contact=with_contact, ), False, ) np.random.seed(42) if\",\n \"0.80744016, 0.42710779, 0.417411, 0.32320293, ], ) else: np.testing.assert_almost_equal( x_out[:, 0], [ 0.61185289, 0.78517596,\",\n \"cx): # Prepare the program nlp = NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() +\",\n \"-10.38503791, 1.60445173, 35.80238642], ) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\", [False, True]) @pytest.mark.parametrize(\\\"with_contact\\\", [False, True])\",\n \"import pytest import numpy as np from casadi import MX, SX import biorbd_casadi\",\n \"= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False ) np.random.seed(42)\",\n \"decimal=5, ) np.testing.assert_almost_equal(contact_out[:, 0], [109.8086936, 3790.3932439, -3571.7858574]) else: np.testing.assert_almost_equal( x_out[:, 0], [0.61185289, 0.78517596,\",\n \"else: np.testing.assert_almost_equal( x_out[:, 0], [ 6.11852895e-01, 7.85175961e-01, 6.07544852e-01, 8.08397348e-01, -2.38262975e01, -5.82033454e01, 1.27439020e02, 3.66531163e03,\",\n \"= np.array(nlp.contact_forces_func(states, controls, params)) np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131,\",\n \"ocp = OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add( ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_ACTIVATIONS_DRIVEN, with_contact=with_contact), False )\",\n \"0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, ) else: np.testing.assert_almost_equal( x_out[:, 0],\",\n \"self.n_phases = 1 self.nlp = [nlp] self.v = OptimizationVector(self) @pytest.mark.parametrize(\\\"cx\\\", [MX, SX]) @pytest.mark.parametrize(\\\"with_external_force\\\",\",\n \"NonLinearProgram() nlp.model = biorbd.Model( TestUtils.bioptim_folder() + \\\"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\\\" ) nlp.ns = 5 nlp.cx =\",\n \"if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [6.15850098e-01, 5.03136259e-01, 6.42419278e-01, -8.06478367e00, 2.42279101e02, -7.72114103e02], decimal=6, )\",\n \"= OptimalControlProgram(nlp) nlp.control_type = ControlType.CONSTANT NonLinearProgram.add(ocp, \\\"dynamics_type\\\", Dynamics(DynamicsFcn.TORQUE_DRIVEN, with_contact=with_contact), False) np.random.seed(42) if with_external_force:\",\n \"np.testing.assert_almost_equal( x_out[:, 0], [0.6118529, 0.785176, 0.6075449, 0.8083973, -0.3214905, -0.1912131, 0.6507164, -0.2359716] ) np.testing.assert_almost_equal(contact_out[:,\",\n \"0.78517596, 0.60754485, 0.80839735, -0.32149054, -0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], )\",\n \"as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions import DynamicsFunctions from bioptim.interfaces.biorbd_interface import\",\n \"[np.random.rand(6, nlp.model.nbSegment(), nlp.ns)] nlp.external_forces = BiorbdInterface.convert_array_to_external_forces(external_forces)[0] # Prepare the dynamics ConfigureProblem.initialize(ocp, nlp) #\",\n \"import MX, SX import biorbd_casadi as biorbd from bioptim.dynamics.configure_problem import ConfigureProblem from bioptim.dynamics.dynamics_functions\",\n \"results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape, nlp.ns) params = np.random.rand(nlp.parameters.shape, nlp.ns)\",\n \"ConfigureProblem.initialize(ocp, nlp) # Test the results states = np.random.rand(nlp.states.shape, nlp.ns) controls = np.random.rand(nlp.controls.shape,\",\n \"3.19433638e00, 2.97405608e01, -2.02754226e01, -2.32467778e01, -4.19135012e01, ], decimal=6, ) else: if with_external_force: np.testing.assert_almost_equal( x_out[:,\",\n \"-0.19121314, 0.65071636, -0.23597164, 0.38867729, 0.54269608, 0.77224477, 0.72900717, ], ) np.testing.assert_almost_equal(contact_out[:, 0], [-2.444071, 128.8816865,\",\n \"if with_contact: contact_out = np.array(nlp.contact_forces_func(states, controls, params)) if with_external_force: np.testing.assert_almost_equal( x_out[:, 0], [0.8631,\"\n]","isConversational":false}}},{"rowIdx":754,"cells":{"ngram":{"kind":"list like","value":["return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self):","ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return","viewed a main object.\"\"\" return [event_type for event_type, event in self.items if event.get_event_action()","in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where use","_get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\"","hestia.manager_interface import ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): #","types where use acted on an object. The write events are events with","knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type)","on an object. The write events are events with actions: * CREATED *","event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def","events with actions: * CREATED * UPDATED * DELETED * RESUMED * COPIED","event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self,","event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where use viewed a main object.\"\"\" return","super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where use acted on an object. The","where use viewed a main object.\"\"\" return [event_type for event_type, event in self.items","subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): #","super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types","def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where","* CLONED * STOPPED \"\"\" return [event_type for event_type, event in self.items if","pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\"","from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type,","CLONED * STOPPED \"\"\" return [event_type for event_type, event in self.items if event.get_event_action()","events are events with actions: * CREATED * UPDATED * DELETED * RESUMED","class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event):","event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where use viewed a main","def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ","get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where use","event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>>","return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event","an object. The write events are events with actions: * CREATED * UPDATED","in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where use viewed a main object.\"\"\"","def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type):","types where use viewed a main object.\"\"\" return [event_type for event_type, event in","EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): #","main object.\"\"\" return [event_type for event_type, event in self.items if event.get_event_action() == event_actions.VIEWED]","super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ","# pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return","def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return","event types where use acted on an object. The write events are events","event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def","def user_view_events(self): \"\"\"Return event types where use viewed a main object.\"\"\" return [event_type","* CREATED * UPDATED * DELETED * RESUMED * COPIED * CLONED *","* DELETED * RESUMED * COPIED * CLONED * STOPPED \"\"\" return [event_type","def user_write_events(self): \"\"\"Return event types where use acted on an object. The write","\"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def","event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where","* UPDATED * DELETED * RESUMED * COPIED * CLONED * STOPPED \"\"\"","# pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self):","pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return","event types where use viewed a main object.\"\"\" return [event_type for event_type, event","are events with actions: * CREATED * UPDATED * DELETED * RESUMED *","\"\"\"Return event types where use acted on an object. The write events are","The write events are events with actions: * CREATED * UPDATED * DELETED","\"\"\" return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def","for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event","event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types","COPIED * CLONED * STOPPED \"\"\" return [event_type for event_type, event in self.items","write events are events with actions: * CREATED * UPDATED * DELETED *","* STOPPED \"\"\" return [event_type for event_type, event in self.items if event.get_event_action() in","with actions: * CREATED * UPDATED * DELETED * RESUMED * COPIED *","if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where use viewed a","from hestia.manager_interface import ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event):","return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event)","CREATED * UPDATED * DELETED * RESUMED * COPIED * CLONED * STOPPED","where use acted on an object. The write events are events with actions:",">>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self,","event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where use acted","* COPIED * CLONED * STOPPED \"\"\" return [event_type for event_type, event in","user_write_events(self): \"\"\"Return event types where use acted on an object. The write events","subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type):","[event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return","object. The write events are events with actions: * CREATED * UPDATED *","use viewed a main object.\"\"\" return [event_type for event_type, event in self.items if","actions: * CREATED * UPDATED * DELETED * RESUMED * COPIED * CLONED","event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event","user_view_events(self): \"\"\"Return event types where use viewed a main object.\"\"\" return [event_type for","a main object.\"\"\" return [event_type for event_type, event in self.items if event.get_event_action() ==","# pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent)","pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type)","# pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where use acted on","import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def","* RESUMED * COPIED * CLONED * STOPPED \"\"\" return [event_type for event_type,","acted on an object. The write events are events with actions: * CREATED","\"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): #","STOPPED \"\"\" return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS]","use acted on an object. The write events are events with actions: *","DELETED * RESUMED * COPIED * CLONED * STOPPED \"\"\" return [event_type for","event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self,","RESUMED * COPIED * CLONED * STOPPED \"\"\" return [event_type for event_type, event","import ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ","event): # pylint:disable=arguments-differ \"\"\" >>> subscribe(SomeEvent) \"\"\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ","\"\"\"Return event types where use viewed a main object.\"\"\" return [event_type for event_type,","pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where use acted on an","self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \"\"\"Return event types where use viewed","UPDATED * DELETED * RESUMED * COPIED * CLONED * STOPPED \"\"\" return","return super().get(key=event_type) def user_write_events(self): \"\"\"Return event types where use acted on an object."],"string":"[\n \"return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self):\",\n \"ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return\",\n \"viewed a main object.\\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action()\",\n \"in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where use\",\n \"_get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\"\",\n \"hestia.manager_interface import ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): #\",\n \"types where use acted on an object. The write events are events with\",\n \"knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type)\",\n \"on an object. The write events are events with actions: * CREATED *\",\n \"event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def\",\n \"events with actions: * CREATED * UPDATED * DELETED * RESUMED * COPIED\",\n \"event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self,\",\n \"event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where use viewed a main object.\\\"\\\"\\\" return\",\n \"super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where use acted on an object. The\",\n \"where use viewed a main object.\\\"\\\"\\\" return [event_type for event_type, event in self.items\",\n \"subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): #\",\n \"super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types\",\n \"def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where\",\n \"* CLONED * STOPPED \\\"\\\"\\\" return [event_type for event_type, event in self.items if\",\n \"pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\"\",\n \"from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type,\",\n \"CLONED * STOPPED \\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action()\",\n \"events are events with actions: * CREATED * UPDATED * DELETED * RESUMED\",\n \"class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event):\",\n \"event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where use viewed a main\",\n \"def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ\",\n \"get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where use\",\n \"event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>>\",\n \"return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event\",\n \"an object. The write events are events with actions: * CREATED * UPDATED\",\n \"in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where use viewed a main object.\\\"\\\"\\\"\",\n \"def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type):\",\n \"types where use viewed a main object.\\\"\\\"\\\" return [event_type for event_type, event in\",\n \"EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): #\",\n \"main object.\\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action() == event_actions.VIEWED]\",\n \"super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ\",\n \"# pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return\",\n \"def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return\",\n \"event types where use acted on an object. The write events are events\",\n \"event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def\",\n \"def user_view_events(self): \\\"\\\"\\\"Return event types where use viewed a main object.\\\"\\\"\\\" return [event_type\",\n \"* CREATED * UPDATED * DELETED * RESUMED * COPIED * CLONED *\",\n \"* DELETED * RESUMED * COPIED * CLONED * STOPPED \\\"\\\"\\\" return [event_type\",\n \"def user_write_events(self): \\\"\\\"\\\"Return event types where use acted on an object. The write\",\n \"\\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def\",\n \"event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where\",\n \"* UPDATED * DELETED * RESUMED * COPIED * CLONED * STOPPED \\\"\\\"\\\"\",\n \"# pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self):\",\n \"pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return\",\n \"event types where use viewed a main object.\\\"\\\"\\\" return [event_type for event_type, event\",\n \"are events with actions: * CREATED * UPDATED * DELETED * RESUMED *\",\n \"\\\"\\\"\\\"Return event types where use acted on an object. The write events are\",\n \"The write events are events with actions: * CREATED * UPDATED * DELETED\",\n \"\\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def\",\n \"for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event\",\n \"event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types\",\n \"COPIED * CLONED * STOPPED \\\"\\\"\\\" return [event_type for event_type, event in self.items\",\n \"write events are events with actions: * CREATED * UPDATED * DELETED *\",\n \"* STOPPED \\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action() in\",\n \"with actions: * CREATED * UPDATED * DELETED * RESUMED * COPIED *\",\n \"if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where use viewed a\",\n \"from hestia.manager_interface import ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event):\",\n \"return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event)\",\n \"CREATED * UPDATED * DELETED * RESUMED * COPIED * CLONED * STOPPED\",\n \"where use acted on an object. The write events are events with actions:\",\n \">>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self,\",\n \"event_type): # pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where use acted\",\n \"* COPIED * CLONED * STOPPED \\\"\\\"\\\" return [event_type for event_type, event in\",\n \"user_write_events(self): \\\"\\\"\\\"Return event types where use acted on an object. The write events\",\n \"subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type):\",\n \"[event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return\",\n \"object. The write events are events with actions: * CREATED * UPDATED *\",\n \"use viewed a main object.\\\"\\\"\\\" return [event_type for event_type, event in self.items if\",\n \"actions: * CREATED * UPDATED * DELETED * RESUMED * COPIED * CLONED\",\n \"event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event\",\n \"user_view_events(self): \\\"\\\"\\\"Return event types where use viewed a main object.\\\"\\\"\\\" return [event_type for\",\n \"a main object.\\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action() ==\",\n \"# pylint:disable=arguments-differ return event.event_type, event def subscribe(self, event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent)\",\n \"pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type)\",\n \"# pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where use acted on\",\n \"import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def\",\n \"* RESUMED * COPIED * CLONED * STOPPED \\\"\\\"\\\" return [event_type for event_type,\",\n \"acted on an object. The write events are events with actions: * CREATED\",\n \"\\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ return super().knows(key=event_type) def get(self, event_type): #\",\n \"STOPPED \\\"\\\"\\\" return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS]\",\n \"use acted on an object. The write events are events with actions: *\",\n \"DELETED * RESUMED * COPIED * CLONED * STOPPED \\\"\\\"\\\" return [event_type for\",\n \"event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ return event.event_type, event def subscribe(self,\",\n \"RESUMED * COPIED * CLONED * STOPPED \\\"\\\"\\\" return [event_type for event_type, event\",\n \"import ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ\",\n \"event): # pylint:disable=arguments-differ \\\"\\\"\\\" >>> subscribe(SomeEvent) \\\"\\\"\\\" super().subscribe(obj=event) def knows(self, event_type): # pylint:disable=arguments-differ\",\n \"\\\"\\\"\\\"Return event types where use viewed a main object.\\\"\\\"\\\" return [event_type for event_type,\",\n \"pylint:disable=arguments-differ return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where use acted on an\",\n \"self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self): \\\"\\\"\\\"Return event types where use viewed\",\n \"UPDATED * DELETED * RESUMED * COPIED * CLONED * STOPPED \\\"\\\"\\\" return\",\n \"return super().get(key=event_type) def user_write_events(self): \\\"\\\"\\\"Return event types where use acted on an object.\"\n]","isConversational":false}}},{"rowIdx":755,"cells":{"ngram":{"kind":"list like","value":["helpers import * def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"}","body contents, e.g. status code. assert response.status_code == 200 # print full request","raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} #","to json by json.dumps() for body data. response = requests.request(\"POST\", url, headers=headers, data=payload)","= {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert","\"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to","{\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict","json by json.dumps() for body data. response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\")","for body data. response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response","data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body contents, e.g. status code. assert","headers = {'Content-Type': 'application/json'} # convert dict to json by json.dumps() for body","body data. response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers","# Validate response headers and body contents, e.g. status code. assert response.status_code ==","json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json by json.dumps() for","= {'Content-Type': 'application/json'} # convert dict to json by json.dumps() for body data.","dict to json by json.dumps() for body data. response = requests.request(\"POST\", url, headers=headers,","by json.dumps() for body data. response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") #","and body contents, e.g. status code. assert response.status_code == 200 # print full","test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers","headers and body contents, e.g. status code. assert response.status_code == 200 # print","contents, e.g. status code. assert response.status_code == 200 # print full request and","'application/json'} # convert dict to json by json.dumps() for body data. response =","\"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json","payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json by","url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers =","from helpers import * def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\":","= \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type':","Validate response headers and body contents, e.g. status code. assert response.status_code == 200","status code. assert response.status_code == 200 # print full request and response pretty_print_request(response.request)","* def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload =","# convert dict to json by json.dumps() for body data. response = requests.request(\"POST\",","= requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body contents,","convert dict to json by json.dumps() for body data. response = requests.request(\"POST\", url,","response headers and body contents, e.g. status code. assert response.status_code == 200 #","{'Content-Type': 'application/json'} # convert dict to json by json.dumps() for body data. response","headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body contents, e.g. status code.","import * def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload","url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body contents, e.g. status","def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload)","= json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json by json.dumps()","save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body contents, e.g. status code. assert response.status_code","data. response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and","e.g. status code. assert response.status_code == 200 # print full request and response","\"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'}","json.dumps() for body data. response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate","response = requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body","code. assert response.status_code == 200 # print full request and response pretty_print_request(response.request) pretty_print_response(response)","requests.request(\"POST\", url, headers=headers, data=payload) save_cookies(response.cookies,\"cookies.txt\") # Validate response headers and body contents, e.g."],"string":"[\n \"helpers import * def test_f_login_andy(): url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"}\",\n \"body contents, e.g. status code. assert response.status_code == 200 # print full request\",\n \"raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} #\",\n \"to json by json.dumps() for body data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload)\",\n \"= {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert\",\n \"\\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to\",\n \"{\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict\",\n \"json by json.dumps() for body data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\")\",\n \"for body data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response\",\n \"data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body contents, e.g. status code. assert\",\n \"headers = {'Content-Type': 'application/json'} # convert dict to json by json.dumps() for body\",\n \"body data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers\",\n \"# Validate response headers and body contents, e.g. status code. assert response.status_code ==\",\n \"json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json by json.dumps() for\",\n \"= {'Content-Type': 'application/json'} # convert dict to json by json.dumps() for body data.\",\n \"dict to json by json.dumps() for body data. response = requests.request(\\\"POST\\\", url, headers=headers,\",\n \"by json.dumps() for body data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") #\",\n \"and body contents, e.g. status code. assert response.status_code == 200 # print full\",\n \"test_f_login_andy(): url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers\",\n \"headers and body contents, e.g. status code. assert response.status_code == 200 # print\",\n \"contents, e.g. status code. assert response.status_code == 200 # print full request and\",\n \"'application/json'} # convert dict to json by json.dumps() for body data. response =\",\n \"\\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json\",\n \"payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json by\",\n \"url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers =\",\n \"from helpers import * def test_f_login_andy(): url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\":\",\n \"= \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type':\",\n \"Validate response headers and body contents, e.g. status code. assert response.status_code == 200\",\n \"status code. assert response.status_code == 200 # print full request and response pretty_print_request(response.request)\",\n \"* def test_f_login_andy(): url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload =\",\n \"# convert dict to json by json.dumps() for body data. response = requests.request(\\\"POST\\\",\",\n \"= requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body contents,\",\n \"convert dict to json by json.dumps() for body data. response = requests.request(\\\"POST\\\", url,\",\n \"response headers and body contents, e.g. status code. assert response.status_code == 200 #\",\n \"{'Content-Type': 'application/json'} # convert dict to json by json.dumps() for body data. response\",\n \"headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body contents, e.g. status code.\",\n \"import * def test_f_login_andy(): url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload\",\n \"url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body contents, e.g. status\",\n \"def test_f_login_andy(): url = \\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload)\",\n \"= json.dumps(raw_payload) headers = {'Content-Type': 'application/json'} # convert dict to json by json.dumps()\",\n \"save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body contents, e.g. status code. assert response.status_code\",\n \"data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and\",\n \"e.g. status code. assert response.status_code == 200 # print full request and response\",\n \"\\\"http://central.orbits.local/rpc.AuthService/Login\\\" raw_payload = {\\\"name\\\": \\\"andy\\\",\\\"password\\\": \\\"<PASSWORD>\\\"} payload = json.dumps(raw_payload) headers = {'Content-Type': 'application/json'}\",\n \"json.dumps() for body data. response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate\",\n \"response = requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body\",\n \"code. assert response.status_code == 200 # print full request and response pretty_print_request(response.request) pretty_print_response(response)\",\n \"requests.request(\\\"POST\\\", url, headers=headers, data=payload) save_cookies(response.cookies,\\\"cookies.txt\\\") # Validate response headers and body contents, e.g.\"\n]","isConversational":false}}},{"rowIdx":756,"cells":{"ngram":{"kind":"list like","value":["= u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat =","for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0)","= a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar -","shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver .. warning:: This solver has not","0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:])","q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] +","= np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq =","problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been implemented.\") else: s_index = np.zeros((2,num_rp)) for","q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for","- phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] -","* delta_h ) / cbar *problem_data* should contain: - *g* - (float) Gravitational","u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r =","q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] =","np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq =","q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family","num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) /","license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2 num_waves","* delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 *","problem * HLL - Use a HLL solver * Exact - Use a","= (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2","- q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp))","the terms of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ #","0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow","np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:]","cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not","np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:]","shallow water Riemann solver .. warning:: This solver has not been implemented. \"\"\"","- s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) #","/ (s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat","(s_1 - s_2) *problem_data* should contain: - *g* - (float) Gravitational constant :Version:","- Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2","- np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 =","(np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:]))","for bathymetry but be wary if you think you might have dry states","Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] num_eqn","s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver .. warning::","g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:]","Flux structure delta = q_r - q_l a1 = 0.5 * (-delta[1,:] +","state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r","+ cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been implemented.\") else: s_index",":: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r -","= q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:]","+ np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r","<NAME> (2009-02-05): Initial version \"\"\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>>","= u_l + c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:]","solver * Exact - Use a newton iteration to calculate the exact solution","g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 #","num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in 1d:: ubar","/ (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] +","Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn","2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s =","= q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g * 0.5","np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute","(float) Gravitational constant - *sea_level* - (float) Datum from which the dry-state is","= np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:]","as this has not been tested. *problem_data* should contain: - *grav* - (float)","- Use Roe averages to caluclate the solution to the Riemann problem *","acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\" # ============================================================================ # Copyright (C) 2009","problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays","mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:]","+ s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5","s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g *","+ cbar) * delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] -","= | 1 | s_1 = ubar - cbar | ubar - cbar","arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp)","from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav']","equations. The available solvers are: * Roe - Use Roe averages to caluclate","gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\" # ============================================================================ # Copyright (C)","s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn):","the exact solution to the Riemann problem .. math:: q_t + f(q)_x =","= np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq","= q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in","speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l","The available solvers are: * Roe - Use Roe averages to caluclate the","np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] *","Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0)","the Riemann problem * HLL - Use a HLL solver * Exact -","cbar *problem_data* should contain: - *g* - (float) Gravitational constant - *efix* -","s_2 * q_r + s_1 * q_l ) / (s_1 - s_2) *problem_data*","# license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2","= q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s","HLL shallow water solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2)","(s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat -","to the Riemann problem .. math:: q_t + f(q)_x = 0 where ..","(num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:]))","* q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav']","implemented.\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves):","q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) /","cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] =","= beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for","np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] -","u \\\\ hu^2 + 1/2 g h^2 \\end{array}\\right ]. and :math:`h` is the","water solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 =","ubar + cbar | a1 = 0.5 * ( - delta_hu + (ubar","q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] =","is calculated. :Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn","( f(q_r) - f(q_l) - s_2 * q_r + s_1 * q_l )","s_1 * q_l ) / (s_1 - s_2) *problem_data* should contain: - *g*","calculated. :Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn =","np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] >","- aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:])","np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r =","ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar =","(num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and","- (float) Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\"","water Riemann solver .. warning:: This solver has not been implemented. \"\"\" raise","2 num_waves = 2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp)","flux function is .. math:: f(q) = \\left [ \\begin{array}{c} h u \\\\","s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of waves","warning:: This solver has not been implemented. \"\"\" raise NotImplementedError(\"The exact swe solver","solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar","u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1","- *sea_level* - (float) Datum from which the dry-state is calculated. :Version: 1.0","Riemann solver .. warning:: This solver has not been implemented. \"\"\" raise NotImplementedError(\"The","+ (ubar + cbar) * delta_h ) / cbar a2 = 0.5 *","s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2","+ q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l","h u \\end{array} \\right ], the flux function is .. math:: f(q) =","0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 *","should contain: - *grav* - (float) Gravitational constant - *sea_level* - (float) Datum","( - delta_hu + (ubar + cbar) * delta_h ) / cbar a2","shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp)","= min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = (","+ s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of","is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\" # ============================================================================ #","(ubar + cbar) * delta_h ) / cbar a2 = 0.5 * (","xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:]",".. math:: f(q) = \\left [ \\begin{array}{c} h u \\\\ hu^2 + 1/2","= ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar +",") cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux","np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:]","HLL solver * Exact - Use a newton iteration to calculate the exact","num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp)","problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:]","q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver using fwaves Also includes support","(float) Gravitational constant - *efix* - (bool) Boolean as to whether a entropy","dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp = q_l.shape[1]",".. math:: q(x,t) = \\left [ \\begin{array}{c} h \\\\ h u \\end{array} \\right","- cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:]","= np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:]","s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] =","encoding: utf-8 r\"\"\" Riemann solvers for the shallow water equations. The available solvers","= 2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s","0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar #","= q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index","h^2 \\end{array}\\right ]. and :math:`h` is the water column height, :math:`u` the velocity","= ubar + cbar | ubar + cbar | a1 = 0.5 *","terms of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================","= np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r s[1,:]","= np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:])","a entropy fix should be used, if not present, false is assumed :Version:","q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 #","quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar","problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] >","q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:]","false is assumed :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1]","= ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l s[0,:]",":Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] # Output arrays","wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar","np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar","problem_data): r\"\"\"Shallow water Riemann solver using fwaves Also includes support for bathymetry but","sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l",") / cbar *problem_data* should contain: - *g* - (float) Gravitational constant -","* g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g","a1 * (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2","calculate the exact solution to the Riemann problem .. math:: q_t + f(q)_x","\\right ], the flux function is .. math:: f(q) = \\left [ \\begin{array}{c}","W_1 = | 1 | s_1 = ubar - cbar | ubar -","apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver using fwaves","# Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar","]. and :math:`h` is the water column height, :math:`u` the velocity and :math:`g`","Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves,","u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 +","0.5 * ( delta_hu - (ubar - cbar) * delta_h ) / cbar","num_eqn = 2 num_waves = 2 # Output arrays wave = np.empty( (num_eqn,","Compute each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r","(num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities","= max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r +","+ c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r","states as this has not been tested. *problem_data* should contain: - *grav* -","(float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1]","(s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return","to whether a entropy fix should be used, if not present, false is","(q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:])","s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 *","Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] =","/ (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l +","= q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar)","you might have dry states as this has not been tested. *problem_data* should","solver using fwaves Also includes support for bathymetry but be wary if you","contain: - *g* - (float) Gravitational constant - *efix* - (bool) Boolean as","constant - *sea_level* - (float) Datum from which the dry-state is calculated. :Version:","constant - *efix* - (bool) Boolean as to whether a entropy fix should","2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s =","q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index =","contain: - *grav* - (float) Gravitational constant - *sea_level* - (float) Datum from","phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:])","= np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and left speeds","(sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g","np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta =","\"\"\" # Array shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty(","f(q_r) - f(q_l) - s_2 * q_r + s_1 * q_l ) /","* q_l ) / (s_1 - s_2) *problem_data* should contain: - *g* -","shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays","/ (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:]","q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar) *","ubar - cbar | W_2 = | 1 | s_1 = ubar +","c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav']","# http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2 num_waves =","a1 = 0.5 * ( - delta_hu + (ubar + cbar) * delta_h","a2 = 0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:]) /","(2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves =","and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:]))","+ cbar) * delta_h ) / cbar a2 = 0.5 * ( delta_hu","= ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l","beta2 * s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] +=","1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves","cbar | ubar - cbar | W_2 = | 1 | s_1 =","- *g* - (float) Gravitational constant - *efix* - (bool) Boolean as to","1/2 g h^2 \\end{array}\\right ]. and :math:`h` is the water column height, :math:`u`","ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l s[0,:] =","num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) )","Array shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves,",") s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) )","+ sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l + h_r)) W_1","(q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav']","= np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta","s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat","in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar =","= q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays fwave =","> 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3,","- s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat - q_l","fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann",":math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\" # ============================================================================","+ 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5","np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract state","* s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:]","beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for mw in","function is .. math:: f(q) = \\left [ \\begin{array}{c} h u \\\\ hu^2","a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar + cbar","Roe averages to caluclate the solution to the Riemann problem * HLL -","* (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:]","num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays fwave","1 | s_1 = ubar - cbar | ubar - cbar | W_2","wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) )","Compute Flux structure delta = q_r - q_l a1 = 0.5 * (-delta[1,:]","family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar)","the dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp =","q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s =","c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r -","- s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:]","cbar | ubar + cbar | a1 = 0.5 * ( - delta_hu","math:: q_t + f(q)_x = 0 where .. math:: q(x,t) = \\left [","in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) *","num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp)","support for bathymetry but be wary if you think you might have dry","c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r +","water Riemann solver using fwaves Also includes support for bathymetry but be wary","utf-8 r\"\"\" Riemann solvers for the shallow water equations. The available solvers are:","dry states as this has not been tested. *problem_data* should contain: - *grav*","family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat","* (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:]","is the water column height, :math:`u` the velocity and :math:`g` is the gravitational","the shallow water equations. The available solvers are: * Roe - Use Roe","+= np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL","= ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 *","Exact shallow water Riemann solver .. warning:: This solver has not been implemented.","if you think you might have dry states as this has not been","be wary if you think you might have dry states as this has","problem .. math:: q_t + f(q)_x = 0 where .. math:: q(x,t) =","+= np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l,","- *grav* - (float) Gravitational constant - *sea_level* - (float) Datum from which","wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) )","> 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5","0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r","(num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq = np.zeros(","the flux function is .. math:: f(q) = \\left [ \\begin{array}{c} h u","max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r + s_1",") cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:]","Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np","HLL - Use a HLL solver * Exact - Use a newton iteration","(ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] =","and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:])","1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] # Output arrays wave","newton iteration to calculate the exact solution to the Riemann problem .. math::","* problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) /","/ q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:],","phi_l = q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r =","averages to caluclate the solution to the Riemann problem * HLL - Use","s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq","NotImplementedError(\"Entropy fix has not been implemented.\") else: s_index = np.zeros((2,num_rp)) for m in","/ (s_1 - s_2) *problem_data* should contain: - *g* - (float) Gravitational constant","u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:]","0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s,","delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1) /","s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:]","= 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in 1d:: ubar =","delta_h ) / cbar a2 = 0.5 * ( delta_hu - (ubar -","water equations. The available solvers are: * Roe - Use Roe averages to","c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] =","= beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for mw","*g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp","(sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l + h_r))",") amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) )","q(x,t) = \\left [ \\begin{array}{c} h \\\\ h u \\end{array} \\right ], the","state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:]","wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute variations","s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:]","Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat","q_r[0,:])) # Compute Flux structure delta = q_r - q_l a1 = 0.5","fix should be used, if not present, false is assumed :Version: 1.0 (2009-02-05)","each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar -","of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:]","Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r + s_1 *","= Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l)","a2 * (ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise","# Compute Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) +","waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute","been tested. *problem_data* should contain: - *grav* - (float) Gravitational constant - *sea_level*","(2014-09-05) \"\"\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves =","for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:]","wave[:,1,:] = q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m",":math:`h` is the water column height, :math:`u` the velocity and :math:`g` is the","column height, :math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME>","(h_l + h_r)) W_1 = | 1 | s_1 = ubar - cbar","- (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] +","= problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output","ubar - cbar | ubar - cbar | W_2 = | 1 |","(q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:]","cbar) * delta[0,:]) / cbar # Compute each family of waves wave[0,0,:] =","the Riemann problem .. math:: q_t + f(q)_x = 0 where .. math::",") s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) )","q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) /","s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] <","u_l + c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] =","| s_1 = ubar - cbar | ubar - cbar | W_2 =","* q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:]","been implemented.\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in","# Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 *","beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m","u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r","the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\" # ============================================================================ # Copyright","num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver","= (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1","roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) )","num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn,","], the flux function is .. math:: f(q) = \\left [ \\begin{array}{c} h","delta[0,:]) / cbar # Compute each family of waves wave[0,0,:] = a1 wave[1,0,:]","raise NotImplementedError(\"Entropy fix has not been implemented.\") else: s_index = np.zeros((2,num_rp)) for m","= q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds","(-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2 = 0.5 *","fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq","problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r -","cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been implemented.\") else: s_index =","q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g","math:: q(x,t) = \\left [ \\begin{array}{c} h \\\\ h u \\end{array} \\right ],","under the terms of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/","q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r","+= (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data):","Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves,","- Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2)","( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 *","return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water","= ( f(q_r) - f(q_l) - s_2 * q_r + s_1 * q_l","= q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] /","cbar | W_2 = | 1 | s_1 = ubar + cbar |","\"\"\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2","- Use a HLL solver * Exact - Use a newton iteration to","# encoding: utf-8 r\"\"\" Riemann solvers for the shallow water equations. The available","s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0)","s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been","xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0)","s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1","delta_hu + (ubar + cbar) * delta_h ) / cbar a2 = 0.5","= a1 * (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] =","= a2 * (ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']:",") / (s_1 - s_2) *problem_data* should contain: - *g* - (float) Gravitational","(BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn =","np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros(","* (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] *","s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r","| W_2 = | 1 | s_1 = ubar + cbar | ubar","/ cbar a2 = 0.5 * ( delta[1,:] - (ubar - cbar) *","fwaves Also includes support for bathymetry but be wary if you think you","+ (ubar + cbar) * delta[0,:]) / cbar a2 = 0.5 * (","* wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water","(s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 -","0.5 * ( - delta_hu + (ubar + cbar) * delta_h ) /","\"\"\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2","- s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] =","delta_h ) / cbar *problem_data* should contain: - *g* - (float) Gravitational constant","/ (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:]","using fwaves Also includes support for bathymetry but be wary if you think","are: * Roe - Use Roe averages to caluclate the solution to the","* problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r =","Boolean as to whether a entropy fix should be used, if not present,","0 where .. math:: q(x,t) = \\left [ \\begin{array}{c} h \\\\ h u","(num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l","as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow","| 1 | s_1 = ubar + cbar | ubar + cbar |","s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:]","def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver using fwaves Also","hu^2 + 1/2 g h^2 \\end{array}\\right ]. and :math:`h` is the water column","+= np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq,","you think you might have dry states as this has not been tested.","* u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2","s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r","W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat","q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:]))","- problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2","- s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:])","return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver ::","h_r)) W_1 = | 1 | s_1 = ubar - cbar | ubar","iteration to calculate the exact solution to the Riemann problem .. math:: q_t","q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays fwave = np.empty(","delta = q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar +","h u \\\\ hu^2 + 1/2 g h^2 \\end{array}\\right ]. and :math:`h` is","apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r,","num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:]","g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g *","0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2 =","# Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in","num_waves = 2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) )","1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:]","= 0.5 * ( delta_hu - (ubar - cbar) * delta_h ) /","= beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2","= u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 =","amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) #","water column height, :math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors:","Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:]))","+= (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:]","np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r,","to calculate the exact solution to the Riemann problem .. math:: q_t +","cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 *","r\"\"\" Riemann solvers for the shallow water equations. The available solvers are: *","each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r -","wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann","= np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:]","s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:]","q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g * 0.5 *","is assumed :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] #","phi_r = q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds","entropy fix should be used, if not present, false is assumed :Version: 1.0","- cbar | W_2 = | 1 | s_1 = ubar + cbar","q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:])","(2009-02-05): Initial version \"\"\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> #","| 1 | s_1 = ubar - cbar | ubar - cbar |","delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g *","cbar) * delta_h ) / cbar a2 = 0.5 * ( delta_hu -","- (bool) Boolean as to whether a entropy fix should be used, if","mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] +=","and :math:`h` is the water column height, :math:`u` the velocity and :math:`g` is","num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn,","s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver :: W_1 =","Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) -","q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp))","- q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:])","waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] =","*grav* - (float) Gravitational constant - *sea_level* - (float) Datum from which the","W_2 = | 1 | s_1 = ubar + cbar | ubar +","http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2 num_waves = 2","\\\\ hu^2 + 1/2 g h^2 \\end{array}\\right ]. and :math:`h` is the water","# Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 #","problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 +","* Exact - Use a newton iteration to calculate the exact solution to","np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged","solver .. warning:: This solver has not been implemented. \"\"\" raise NotImplementedError(\"The exact","* q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] -","f(q) = \\left [ \\begin{array}{c} h u \\\\ hu^2 + 1/2 g h^2","= 2 num_waves = 2 # Output arrays fwave = np.empty( (num_eqn, num_waves,","q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l =","\\begin{array}{c} h u \\\\ hu^2 + 1/2 g h^2 \\end{array}\\right ]. and :math:`h`","# Distributed under the terms of the Berkeley Software Distribution (BSD) # license","where .. math:: q(x,t) = \\left [ \\begin{array}{c} h \\\\ h u \\end{array}","# Array shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn,","(num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn,","(num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3,","a1 = 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar","* s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m in","s_1 = ubar + cbar | ubar + cbar | a1 = 0.5","num_eqn = 2 num_waves = 2 # Output arrays fwave = np.empty( (num_eqn,","to caluclate the solution to the Riemann problem * HLL - Use a","cbar) * delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] - (ubar","q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute","not been tested. *problem_data* should contain: - *grav* - (float) Gravitational constant -","and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\" #","else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:]","(q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 -","present, false is assumed :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp =","s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat =","but be wary if you think you might have dry states as this","amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver .. warning:: This","ubar + cbar | ubar + cbar | a1 = 0.5 * (","= np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq","(ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix","this has not been tested. *problem_data* should contain: - *grav* - (float) Gravitational","* q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] =","apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver :: W_1 = Q_hat -","= u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:]","*efix* - (bool) Boolean as to whether a entropy fix should be used,","- delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1)","- q_l[1,:] delta2 = phi_r - phi_l + g * 0.5 * (q_r[0,:]","= Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2","- c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:]","if not present, false is assumed :Version: 1.0 (2009-02-05) \"\"\" # Array shapes","q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:]))","# Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros(","wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow","+ q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] *","shallow water equations. The available solvers are: * Roe - Use Roe averages","= ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) /","ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar)","+ 1/2 g h^2 \\end{array}\\right ]. and :math:`h` is the water column height,","wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar","have dry states as this has not been tested. *problem_data* should contain: -","0.5 * g * (h_l + h_r)) W_1 = | 1 | s_1","(s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] -",":Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2","| s_1 = ubar + cbar | ubar + cbar | a1 =","<reponame>ian-r-rose/visualization #!/usr/bin/env python # encoding: utf-8 r\"\"\" Riemann solvers for the shallow water","= np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] -","used, if not present, false is assumed :Version: 1.0 (2009-02-05) \"\"\" # Array","q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] *","apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = (","* (h_l + h_r)) W_1 = | 1 | s_1 = ubar -","= 2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s","# Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:],","+ q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2)","not been implemented.\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw","- q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for","- f(q_l) - s_2 * q_r + s_1 * q_l ) / (s_1","* ( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar # Compute","np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water","(ubar - cbar) * delta_h ) / cbar *problem_data* should contain: - *g*","| ubar + cbar | a1 = 0.5 * ( - delta_hu +","(2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] # Output arrays wave =","num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar","+ sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g *","(q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r - q_l a1","Compute Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:]))","return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver","| ubar - cbar | W_2 = | 1 | s_1 = ubar","= q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:]","in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >=","in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0)","- *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" # Array shapes","*sea_level* - (float) Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05)","* (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2 = 0.5","q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5","q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l =","[ \\begin{array}{c} h \\\\ h u \\end{array} \\right ], the flux function is","q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:]","wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data):","Use Roe averages to caluclate the solution to the Riemann problem * HLL","contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" # Array","s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l","cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] /","s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver","think you might have dry states as this has not been tested. *problem_data*","= np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract","for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] +=","* g * (h_l + h_r)) W_1 = | 1 | s_1 =","s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] =","g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 =","/ cbar a2 = 0.5 * ( delta_hu - (ubar - cbar) *","s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar","2009 <NAME> <<EMAIL>> # # Distributed under the terms of the Berkeley Software","# # Distributed under the terms of the Berkeley Software Distribution (BSD) #","* wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def","Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as","should contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" #","aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2","q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:] =","(bool) Boolean as to whether a entropy fix should be used, if not","amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver :: W_1 = Q_hat","+ cbar | a1 = 0.5 * ( - delta_hu + (ubar +","q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2","python # encoding: utf-8 r\"\"\" Riemann solvers for the shallow water equations. The","- cbar) * delta_h ) / cbar *problem_data* should contain: - *g* -","(num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros(","np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l","a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar - cbar","((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav']",".. math:: q_t + f(q)_x = 0 where .. math:: q(x,t) = \\left","= np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l","- q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] -","- cbar) * delta[0,:]) / cbar # Compute each family of waves wave[0,0,:]","has not been tested. *problem_data* should contain: - *grav* - (float) Gravitational constant","* ( delta_hu - (ubar - cbar) * delta_h ) / cbar *problem_data*","<<EMAIL>> # # Distributed under the terms of the Berkeley Software Distribution (BSD)","height, :math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05):","def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l) +","constant :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] num_eqn =","= \\left [ \\begin{array}{c} h u \\\\ hu^2 + 1/2 g h^2 \\end{array}\\right","numpy as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe","a2 = 0.5 * ( delta_hu - (ubar - cbar) * delta_h )","variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:]","arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp)",".. warning:: This solver has not been implemented. \"\"\" raise NotImplementedError(\"The exact swe","* q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) #","q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn):","fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:]","s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l +","= np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:]","solvers are: * Roe - Use Roe averages to caluclate the solution to","(ubar + cbar) * delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:]","np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] *","np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros(","wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver :: W_1","Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) /","Gravitational constant - *sea_level* - (float) Datum from which the dry-state is calculated.","version \"\"\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed","should be used, if not present, false is assumed :Version: 1.0 (2009-02-05) \"\"\"","fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver ..","= sqrt( 0.5 * g * (h_l + h_r)) W_1 = | 1","2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l)","= | 1 | s_1 = ubar + cbar | ubar + cbar","shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver using fwaves Also includes","has not been implemented. \"\"\" raise NotImplementedError(\"The exact swe solver has not been","cbar | a1 = 0.5 * ( - delta_hu + (ubar + cbar)","apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] -","- s_2) *problem_data* should contain: - *g* - (float) Gravitational constant :Version: 1.0","* Roe - Use Roe averages to caluclate the solution to the Riemann","the water column height, :math:`u` the velocity and :math:`g` is the gravitational acceleration.","Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 *","shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver :: W_1 = Q_hat - Q_l s_1","beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2 =","((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:]","fix has not been implemented.\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn):","= phi_r - phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) *","whether a entropy fix should be used, if not present, false is assumed","c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state","g * (h_l + h_r)) W_1 = | 1 | s_1 = ubar","assumed :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] # Output","amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver using","# Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms of","+ s_1 * q_l ) / (s_1 - s_2) *problem_data* should contain: -","phi_r - phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:]","shallow water solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2","q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:]","wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar + cbar if","* problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) -","aux_l, aux_r, problem_data): r\"\"\"Shallow water Riemann solver using fwaves Also includes support for","/ (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2","arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp)","*problem_data* should contain: - *g* - (float) Gravitational constant - *efix* - (bool)","s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq","np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:])","0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2)","0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] *","is .. math:: f(q) = \\left [ \\begin{array}{c} h u \\\\ hu^2 +","ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l -","for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] +=","xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:]","u_r + c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute","* q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] -","This solver has not been implemented. \"\"\" raise NotImplementedError(\"The exact swe solver has","beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] =","s_2) *problem_data* should contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05)","* q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:]","of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat #","cbar a2 = 0.5 * ( delta_hu - (ubar - cbar) * delta_h","/ q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index =","- cbar | ubar - cbar | W_2 = | 1 | s_1","np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow","1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 *","= u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:])","* ( - delta_hu + (ubar + cbar) * delta_h ) / cbar","Roe - Use Roe averages to caluclate the solution to the Riemann problem","shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) +",":Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2","r\"\"\" HLL shallow water solver :: W_1 = Q_hat - Q_l s_1 =","xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) *","- s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:]",") # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:])","- delta_hu + (ubar + cbar) * delta_h ) / cbar a2 =","/ q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g *","u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp))","1 | s_1 = ubar + cbar | ubar + cbar | a1","wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver","Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves):","wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:]",") apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar =","left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) )","np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r","+ f(q)_x = 0 where .. math:: q(x,t) = \\left [ \\begin{array}{c} h","= np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] =","+ g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1","num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp)","* q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each","= ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5","structure delta = q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar","# Compute Flux structure delta = q_r - q_l a1 = 0.5 *","2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in 1d::","ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been implemented.\") else:","* q_r + s_1 * q_l ) / (s_1 - s_2) *problem_data* should","Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves,","============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms","not been implemented. \"\"\" raise NotImplementedError(\"The exact swe solver has not been implemented.\")","1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt(","+ h_r)) W_1 = | 1 | s_1 = ubar - cbar |","Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar","Use a newton iteration to calculate the exact solution to the Riemann problem","* u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l","solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r","right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) +","= beta2 * s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:]","* problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r","caluclate the solution to the Riemann problem * HLL - Use a HLL","* (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r - q_l","in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:]","- (float) Gravitational constant - *efix* - (bool) Boolean as to whether a","# ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the","exact solution to the Riemann problem .. math:: q_t + f(q)_x = 0","* q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] *","solvers for the shallow water equations. The available solvers are: * Roe -","* delta_h ) / cbar a2 = 0.5 * ( delta_hu - (ubar","- (ubar - cbar) * delta[0,:]) / cbar # Compute each family of","- (float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp =","Exact - Use a newton iteration to calculate the exact solution to the","+ cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has","ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5","+ 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] *","q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw","u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l -","q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:]","q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g","= (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 *","= 0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar","delta2 = phi_r - phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:])","(ubar - cbar) * delta[0,:]) / cbar # Compute each family of waves","delta_hu - (ubar - cbar) * delta_h ) / cbar *problem_data* should contain:","problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav']","a HLL solver * Exact - Use a newton iteration to calculate the","delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] - (ubar - cbar)","- (float) Gravitational constant - *sea_level* - (float) Datum from which the dry-state","m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) *","Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:]","- *efix* - (bool) Boolean as to whether a entropy fix should be",") / cbar a2 = 0.5 * ( delta_hu - (ubar - cbar)","r\"\"\"Shallow water Riemann solver using fwaves Also includes support for bathymetry but be","num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays wave","= np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] *","+ 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g","cbar = sqrt( 0.5 * g * (h_l + h_r)) W_1 = |","q_r + s_1 * q_l ) / (s_1 - s_2) *problem_data* should contain:","fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for","q_t + f(q)_x = 0 where .. math:: q(x,t) = \\left [ \\begin{array}{c}","the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version","solver has not been implemented. \"\"\" raise NotImplementedError(\"The exact swe solver has not","shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r))","+ c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle","= ubar - cbar | ubar - cbar | W_2 = | 1","= ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been implemented.\")","delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:]","* (ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\"Entropy","= 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2","W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) -","q_l ) / (s_1 - s_2) *problem_data* should contain: - *g* - (float)","Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g","= 0 where .. math:: q(x,t) = \\left [ \\begin{array}{c} h \\\\ h","sqrt( 0.5 * g * (h_l + h_r)) W_1 = | 1 |","np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and left speeds ubar","wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l,","+ 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] *","* fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq,","c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:]","amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s,","num_rp) ) # Compute Roe and right and left speeds ubar = (","q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] +","= \\left [ \\begin{array}{c} h \\\\ h u \\end{array} \\right ], the flux","water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r))","\\left [ \\begin{array}{c} h \\\\ h u \\end{array} \\right ], the flux function","# ============================================================================ import numpy as np num_eqn = 2 num_waves = 2 def","Riemann problem .. math:: q_t + f(q)_x = 0 where .. math:: q(x,t)","/ q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l","- cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2","m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0)","[ \\begin{array}{c} h u \\\\ hu^2 + 1/2 g h^2 \\end{array}\\right ]. and","Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms of the","q_l[1,:] delta2 = phi_r - phi_l + g * 0.5 * (q_r[0,:] +","(num_eqn, num_rp) ) # Compute Roe and right and left speeds ubar =","= np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq =","Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output","* q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2","============================================================================ import numpy as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data):","Use a HLL solver * Exact - Use a newton iteration to calculate","* 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:]","\\left [ \\begin{array}{c} h u \\\\ hu^2 + 1/2 g h^2 \\end{array}\\right ].","Distributed under the terms of the Berkeley Software Distribution (BSD) # license #","might have dry states as this has not been tested. *problem_data* should contain:","+ np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r -","\"\"\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under","g h^2 \\end{array}\\right ]. and :math:`h` is the water column height, :math:`u` the","which the dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp","as to whether a entropy fix should be used, if not present, false","np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) +","delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar # Compute each family","* g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:])","fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves):","1.0 (2014-09-05) \"\"\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves","math:: f(q) = \\left [ \\begin{array}{c} h u \\\\ hu^2 + 1/2 g","aux_r, problem_data): r\"\"\"Shallow water Riemann solver using fwaves Also includes support for bathymetry","be used, if not present, false is assumed :Version: 1.0 (2009-02-05) \"\"\" #","* fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water","middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] *","- problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level']","num_waves = 2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) )","def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" HLL shallow water solver :: W_1 = Q_hat - Q_l","<NAME> <<EMAIL>> # # Distributed under the terms of the Berkeley Software Distribution","+ q_r[0,:])) # Compute Flux structure delta = q_r - q_l a1 =","- Use a newton iteration to calculate the exact solution to the Riemann","num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and right","np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq =","Also includes support for bathymetry but be wary if you think you might","s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r","- c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r","Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:]","solution to the Riemann problem .. math:: q_t + f(q)_x = 0 where","= 2 num_waves = 2 # Output arrays wave = np.empty( (num_eqn, num_waves,","np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r s[1,:] =","* (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1","a newton iteration to calculate the exact solution to the Riemann problem ..","q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] /","cbar) * delta_h ) / cbar *problem_data* should contain: - *g* - (float)","Gravitational constant - *efix* - (bool) Boolean as to whether a entropy fix","f(q_l) - s_2 * q_r + s_1 * q_l ) / (s_1 -","\\\\ h u \\end{array} \\right ], the flux function is .. math:: f(q)","0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g *","* delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:]","problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:]","solution to the Riemann problem * HLL - Use a HLL solver *","Initial version \"\"\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # #","* delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] - (ubar -","Riemann problem * HLL - Use a HLL solver * Exact - Use",">= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact","*problem_data* should contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \"\"\"","Roe shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l)","has not been implemented.\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for","+ np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) #","= a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar +","s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] +","Riemann solvers for the shallow water equations. The available solvers are: * Roe","amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) *","* delta[0,:]) / cbar # Compute each family of waves wave[0,0,:] = a1","- s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2","apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\"","= s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return","#!/usr/bin/env python # encoding: utf-8 r\"\"\" Riemann solvers for the shallow water equations.","wary if you think you might have dry states as this has not","f(q)_x = 0 where .. math:: q(x,t) = \\left [ \\begin{array}{c} h \\\\","(delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:]",") apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and","(float) Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\" g","cbar a2 = 0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:])","velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \"\"\"","s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave,","u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] =","speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar","= q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays wave =","def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver .. warning:: This solver has","/ cbar *problem_data* should contain: - *g* - (float) Gravitational constant - *efix*","apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def","# Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty(","< 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave,","\\end{array}\\right ]. and :math:`h` is the water column height, :math:`u` the velocity and","apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and left","Riemann solver using fwaves Also includes support for bathymetry but be wary if","\\begin{array}{c} h \\\\ h u \\end{array} \\right ], the flux function is ..","s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute",") apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:]",":math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial","( delta_hu - (ubar - cbar) * delta_h ) / cbar *problem_data* should","* q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l +","fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) )","# Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r +","num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l =","= 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Roe shallow water solver in","delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] *","sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l + h_r)) W_1 =","np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:]","s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0)","2 num_waves = 2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp)","/ cbar # Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] =","(s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 -","min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r)","- s_2 * q_r + s_1 * q_l ) / (s_1 - s_2)","q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] *","* q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:]","to the Riemann problem * HLL - Use a HLL solver * Exact","u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l =","apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann solver .. warning:: This solver","q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index","u \\end{array} \\right ], the flux function is .. math:: f(q) = \\left","Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 =",") # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] /","= np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute","cbar # Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1","# Compute each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] =","\\end{array} \\right ], the flux function is .. math:: f(q) = \\left [","beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 *",") # Compute Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:])","for the shallow water equations. The available solvers are: * Roe - Use","(C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms of the Berkeley","u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt","of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import","the solution to the Riemann problem * HLL - Use a HLL solver","# Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] -","+ cbar | ubar + cbar | a1 = 0.5 * ( -","(aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] -","( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar # Compute each","if problem_data['efix']: raise NotImplementedError(\"Entropy fix has not been implemented.\") else: s_index = np.zeros((2,num_rp))","# Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty(","q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0)","import numpy as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\"","should contain: - *g* - (float) Gravitational constant - *efix* - (bool) Boolean","= 0.5 * ( - delta_hu + (ubar + cbar) * delta_h )",":Authors: <NAME> (2009-02-05): Initial version \"\"\" # ============================================================================ # Copyright (C) 2009 <NAME>","np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq","= u_r + c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) #","np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe","s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:]","Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \"\"\" g =","| a1 = 0.5 * ( - delta_hu + (ubar + cbar) *","# Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) +","r\"\"\" Exact shallow water Riemann solver .. warning:: This solver has not been","cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure","h \\\\ h u \\end{array} \\right ], the flux function is .. math::","= np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level']","*g* - (float) Gravitational constant - *efix* - (bool) Boolean as to whether","bathymetry but be wary if you think you might have dry states as","- (ubar - cbar) * delta_h ) / cbar *problem_data* should contain: -","= np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:]","fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] =","s_1 = ubar - cbar | ubar - cbar | W_2 = |","*problem_data* should contain: - *grav* - (float) Gravitational constant - *sea_level* - (float)","* HLL - Use a HLL solver * Exact - Use a newton","not present, false is assumed :Version: 1.0 (2009-02-05) \"\"\" # Array shapes num_rp","* wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data):","(s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\"","0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l","tested. *problem_data* should contain: - *grav* - (float) Gravitational constant - *sea_level* -","(s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] =","s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] =","the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy","includes support for bathymetry but be wary if you think you might have","r\"\"\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) /","q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays wave = np.empty(","available solvers are: * Roe - Use Roe averages to caluclate the solution"],"string":"[\n \"= u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat =\",\n \"for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0)\",\n \"= a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar -\",\n \"shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver .. warning:: This solver has not\",\n \"0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:])\",\n \"q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] +\",\n \"= np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq =\",\n \"problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for\",\n \"q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for\",\n \"- phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] -\",\n \"* delta_h ) / cbar *problem_data* should contain: - *g* - (float) Gravitational\",\n \"u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r =\",\n \"q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] =\",\n \"np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq =\",\n \"q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family\",\n \"num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) /\",\n \"license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2 num_waves\",\n \"* delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 *\",\n \"problem * HLL - Use a HLL solver * Exact - Use a\",\n \"= (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2\",\n \"- q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp))\",\n \"the terms of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ #\",\n \"0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow\",\n \"np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:]\",\n \"cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not\",\n \"np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:]\",\n \"shallow water Riemann solver .. warning:: This solver has not been implemented. \\\"\\\"\\\"\",\n \"- s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) #\",\n \"/ (s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat\",\n \"(s_1 - s_2) *problem_data* should contain: - *g* - (float) Gravitational constant :Version:\",\n \"- Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2\",\n \"- np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 =\",\n \"(np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:]))\",\n \"for bathymetry but be wary if you think you might have dry states\",\n \"Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] num_eqn\",\n \"s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver .. warning::\",\n \"g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:]\",\n \"Flux structure delta = q_r - q_l a1 = 0.5 * (-delta[1,:] +\",\n \"state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r\",\n \"+ cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else: s_index\",\n \":: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r -\",\n \"= q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:]\",\n \"+ np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r\",\n \"<NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>>\",\n \"= u_l + c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:]\",\n \"solver * Exact - Use a newton iteration to calculate the exact solution\",\n \"g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 #\",\n \"num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in 1d:: ubar\",\n \"/ (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] +\",\n \"Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn\",\n \"2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s =\",\n \"= q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g * 0.5\",\n \"np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute\",\n \"(float) Gravitational constant - *sea_level* - (float) Datum from which the dry-state is\",\n \"= np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:]\",\n \"as this has not been tested. *problem_data* should contain: - *grav* - (float)\",\n \"- Use Roe averages to caluclate the solution to the Riemann problem *\",\n \"acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009\",\n \"problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays\",\n \"mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:]\",\n \"+ s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5\",\n \"s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g *\",\n \"+ cbar) * delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] -\",\n \"= | 1 | s_1 = ubar - cbar | ubar - cbar\",\n \"arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp)\",\n \"from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav']\",\n \"equations. The available solvers are: * Roe - Use Roe averages to caluclate\",\n \"gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ # Copyright (C)\",\n \"s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn):\",\n \"the exact solution to the Riemann problem .. math:: q_t + f(q)_x =\",\n \"= np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq\",\n \"= q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in\",\n \"speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l\",\n \"The available solvers are: * Roe - Use Roe averages to caluclate the\",\n \"np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] *\",\n \"Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0)\",\n \"the Riemann problem * HLL - Use a HLL solver * Exact -\",\n \"cbar *problem_data* should contain: - *g* - (float) Gravitational constant - *efix* -\",\n \"s_2 * q_r + s_1 * q_l ) / (s_1 - s_2) *problem_data*\",\n \"# license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2\",\n \"= q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s\",\n \"HLL shallow water solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2)\",\n \"(s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat -\",\n \"to the Riemann problem .. math:: q_t + f(q)_x = 0 where ..\",\n \"(num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:]))\",\n \"* q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav']\",\n \"implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves):\",\n \"q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) /\",\n \"cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] =\",\n \"= beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for\",\n \"np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] -\",\n \"u \\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h` is the\",\n \"water solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 =\",\n \"ubar + cbar | a1 = 0.5 * ( - delta_hu + (ubar\",\n \"q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] =\",\n \"is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn\",\n \"( f(q_r) - f(q_l) - s_2 * q_r + s_1 * q_l )\",\n \"s_1 * q_l ) / (s_1 - s_2) *problem_data* should contain: - *g*\",\n \"calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn =\",\n \"np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] >\",\n \"- aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:])\",\n \"np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r =\",\n \"ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar =\",\n \"(num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and\",\n \"- (float) Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\"\",\n \"water Riemann solver .. warning:: This solver has not been implemented. \\\"\\\"\\\" raise\",\n \"2 num_waves = 2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp)\",\n \"flux function is .. math:: f(q) = \\\\left [ \\\\begin{array}{c} h u \\\\\\\\\",\n \"s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of waves\",\n \"warning:: This solver has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact swe solver\",\n \"solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar\",\n \"u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1\",\n \"- *sea_level* - (float) Datum from which the dry-state is calculated. :Version: 1.0\",\n \"Riemann solver .. warning:: This solver has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The\",\n \"+ (ubar + cbar) * delta_h ) / cbar a2 = 0.5 *\",\n \"s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2\",\n \"+ q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l\",\n \"h u \\\\end{array} \\\\right ], the flux function is .. math:: f(q) =\",\n \"0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 *\",\n \"should contain: - *grav* - (float) Gravitational constant - *sea_level* - (float) Datum\",\n \"( - delta_hu + (ubar + cbar) * delta_h ) / cbar a2\",\n \"shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp)\",\n \"= min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = (\",\n \"+ s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of\",\n \"is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ #\",\n \"(ubar + cbar) * delta_h ) / cbar a2 = 0.5 * (\",\n \"xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:]\",\n \".. math:: f(q) = \\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2\",\n \"= ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar +\",\n \") cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux\",\n \"np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:]\",\n \"HLL solver * Exact - Use a newton iteration to calculate the exact\",\n \"num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp)\",\n \"problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:]\",\n \"q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also includes support\",\n \"(float) Gravitational constant - *efix* - (bool) Boolean as to whether a entropy\",\n \"dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1]\",\n \".. math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right\",\n \"- cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:]\",\n \"= np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:]\",\n \"s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] =\",\n \"encoding: utf-8 r\\\"\\\"\\\" Riemann solvers for the shallow water equations. The available solvers\",\n \"= 2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s\",\n \"0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar #\",\n \"= q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index\",\n \"h^2 \\\\end{array}\\\\right ]. and :math:`h` is the water column height, :math:`u` the velocity\",\n \"= ubar + cbar | ubar + cbar | a1 = 0.5 *\",\n \"terms of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================\",\n \"= np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r s[1,:]\",\n \"= np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:])\",\n \"a entropy fix should be used, if not present, false is assumed :Version:\",\n \"q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 #\",\n \"quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar\",\n \"problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] >\",\n \"q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:]\",\n \"false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1]\",\n \"= ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l s[0,:]\",\n \":Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] # Output arrays\",\n \"wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar\",\n \"np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar\",\n \"problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also includes support for bathymetry but\",\n \"sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l\",\n \") / cbar *problem_data* should contain: - *g* - (float) Gravitational constant -\",\n \"* g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g\",\n \"a1 * (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2\",\n \"calculate the exact solution to the Riemann problem .. math:: q_t + f(q)_x\",\n \"\\\\right ], the flux function is .. math:: f(q) = \\\\left [ \\\\begin{array}{c}\",\n \"W_1 = | 1 | s_1 = ubar - cbar | ubar -\",\n \"apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves\",\n \"# Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar\",\n \"]. and :math:`h` is the water column height, :math:`u` the velocity and :math:`g`\",\n \"Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves,\",\n \"u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 +\",\n \"0.5 * ( delta_hu - (ubar - cbar) * delta_h ) / cbar\",\n \"num_eqn = 2 num_waves = 2 # Output arrays wave = np.empty( (num_eqn,\",\n \"Compute each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r\",\n \"(num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities\",\n \"= max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r +\",\n \"+ c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r\",\n \"states as this has not been tested. *problem_data* should contain: - *grav* -\",\n \"(float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1]\",\n \"(s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return\",\n \"to whether a entropy fix should be used, if not present, false is\",\n \"(q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:])\",\n \"s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 *\",\n \"Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] =\",\n \"/ (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l +\",\n \"= q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar)\",\n \"you might have dry states as this has not been tested. *problem_data* should\",\n \"solver using fwaves Also includes support for bathymetry but be wary if you\",\n \"contain: - *g* - (float) Gravitational constant - *efix* - (bool) Boolean as\",\n \"constant - *sea_level* - (float) Datum from which the dry-state is calculated. :Version:\",\n \"constant - *efix* - (bool) Boolean as to whether a entropy fix should\",\n \"2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s =\",\n \"q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute variations s_index =\",\n \"contain: - *grav* - (float) Gravitational constant - *sea_level* - (float) Datum from\",\n \"phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:])\",\n \"= np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and left speeds\",\n \"(sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g\",\n \"np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta =\",\n \"\\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty(\",\n \"f(q_r) - f(q_l) - s_2 * q_r + s_1 * q_l ) /\",\n \"* q_l ) / (s_1 - s_2) *problem_data* should contain: - *g* -\",\n \"shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays\",\n \"/ (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:]\",\n \"q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar) *\",\n \"ubar - cbar | W_2 = | 1 | s_1 = ubar +\",\n \"c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav']\",\n \"# http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2 num_waves =\",\n \"a1 = 0.5 * ( - delta_hu + (ubar + cbar) * delta_h\",\n \"a2 = 0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:]) /\",\n \"(2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves =\",\n \"and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:]))\",\n \"+ cbar) * delta_h ) / cbar a2 = 0.5 * ( delta_hu\",\n \"= ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l\",\n \"beta2 * s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] +=\",\n \"1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves\",\n \"cbar | ubar - cbar | W_2 = | 1 | s_1 =\",\n \"- *g* - (float) Gravitational constant - *efix* - (bool) Boolean as to\",\n \"1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h` is the water column height, :math:`u`\",\n \"ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l s[0,:] =\",\n \"num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) )\",\n \"Array shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves,\",\n \") s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) )\",\n \"+ sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l + h_r)) W_1\",\n \"(q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav']\",\n \"= np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta\",\n \"s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat\",\n \"in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar =\",\n \"= q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays fwave =\",\n \"> 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3,\",\n \"- s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat - q_l\",\n \"fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann\",\n \":math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================\",\n \"+ 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5\",\n \"np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract state\",\n \"* s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:]\",\n \"beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for mw in\",\n \"function is .. math:: f(q) = \\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2\",\n \"a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar + cbar\",\n \"Roe averages to caluclate the solution to the Riemann problem * HLL -\",\n \"* (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:]\",\n \"num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays fwave\",\n \"1 | s_1 = ubar - cbar | ubar - cbar | W_2\",\n \"wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) )\",\n \"Compute Flux structure delta = q_r - q_l a1 = 0.5 * (-delta[1,:]\",\n \"family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar)\",\n \"the dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp =\",\n \"q_l.shape[1] # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s =\",\n \"c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r -\",\n \"- s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:]\",\n \"cbar | ubar + cbar | a1 = 0.5 * ( - delta_hu\",\n \"math:: q_t + f(q)_x = 0 where .. math:: q(x,t) = \\\\left [\",\n \"in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) *\",\n \"num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp)\",\n \"support for bathymetry but be wary if you think you might have dry\",\n \"c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r +\",\n \"water Riemann solver using fwaves Also includes support for bathymetry but be wary\",\n \"utf-8 r\\\"\\\"\\\" Riemann solvers for the shallow water equations. The available solvers are:\",\n \"dry states as this has not been tested. *problem_data* should contain: - *grav*\",\n \"family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat\",\n \"* (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:]\",\n \"is the water column height, :math:`u` the velocity and :math:`g` is the gravitational\",\n \"the shallow water equations. The available solvers are: * Roe - Use Roe\",\n \"+= np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL\",\n \"= ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 *\",\n \"Exact shallow water Riemann solver .. warning:: This solver has not been implemented.\",\n \"if you think you might have dry states as this has not been\",\n \"be wary if you think you might have dry states as this has\",\n \"problem .. math:: q_t + f(q)_x = 0 where .. math:: q(x,t) =\",\n \"+= np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l,\",\n \"- *grav* - (float) Gravitational constant - *sea_level* - (float) Datum from which\",\n \"wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) )\",\n \"> 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5\",\n \"0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r\",\n \"(num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq = np.zeros(\",\n \"the flux function is .. math:: f(q) = \\\\left [ \\\\begin{array}{c} h u\",\n \"max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r + s_1\",\n \") cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:]\",\n \"Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np\",\n \"HLL - Use a HLL solver * Exact - Use a newton iteration\",\n \"(ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] =\",\n \"and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:])\",\n \"1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] # Output arrays wave\",\n \"newton iteration to calculate the exact solution to the Riemann problem .. math::\",\n \"* problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) /\",\n \"/ q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:],\",\n \"phi_l = q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r =\",\n \"averages to caluclate the solution to the Riemann problem * HLL - Use\",\n \"s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq\",\n \"NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m in\",\n \"/ (s_1 - s_2) *problem_data* should contain: - *g* - (float) Gravitational constant\",\n \"u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:]\",\n \"0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s,\",\n \"delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1) /\",\n \"s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:]\",\n \"= 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in 1d:: ubar =\",\n \"delta_h ) / cbar a2 = 0.5 * ( delta_hu - (ubar -\",\n \"water equations. The available solvers are: * Roe - Use Roe averages to\",\n \"c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] =\",\n \"= beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for mw\",\n \"*g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp\",\n \"(sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l + h_r))\",\n \") amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) )\",\n \"q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right ], the\",\n \"state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:]\",\n \"wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute variations\",\n \"s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:]\",\n \"Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat\",\n \"q_r[0,:])) # Compute Flux structure delta = q_r - q_l a1 = 0.5\",\n \"fix should be used, if not present, false is assumed :Version: 1.0 (2009-02-05)\",\n \"each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar -\",\n \"of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:]\",\n \"Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r + s_1 *\",\n \"= Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l)\",\n \"a2 * (ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise\",\n \"# Compute Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) +\",\n \"waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat # Compute\",\n \"been tested. *problem_data* should contain: - *grav* - (float) Gravitational constant - *sea_level*\",\n \"(2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves =\",\n \"for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:]\",\n \"wave[:,1,:] = q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m\",\n \":math:`h` is the water column height, :math:`u` the velocity and :math:`g` is the\",\n \"column height, :math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME>\",\n \"(h_l + h_r)) W_1 = | 1 | s_1 = ubar - cbar\",\n \"- (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] +\",\n \"= problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output\",\n \"ubar - cbar | ubar - cbar | W_2 = | 1 |\",\n \"(q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:]\",\n \"cbar) * delta[0,:]) / cbar # Compute each family of waves wave[0,0,:] =\",\n \"the Riemann problem .. math:: q_t + f(q)_x = 0 where .. math::\",\n \") s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) )\",\n \"q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) /\",\n \"s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] <\",\n \"u_l + c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] =\",\n \"| s_1 = ubar - cbar | ubar - cbar | W_2 =\",\n \"* q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:]\",\n \"been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in\",\n \"# Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 *\",\n \"beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m\",\n \"u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r\",\n \"the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ # Copyright\",\n \"num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver\",\n \"= (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1\",\n \"roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) )\",\n \"num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn,\",\n \"], the flux function is .. math:: f(q) = \\\\left [ \\\\begin{array}{c} h\",\n \"delta[0,:]) / cbar # Compute each family of waves wave[0,0,:] = a1 wave[1,0,:]\",\n \"raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m\",\n \"= q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds\",\n \"(-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2 = 0.5 *\",\n \"fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq\",\n \"problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r -\",\n \"cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else: s_index =\",\n \"q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g\",\n \"math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right ],\",\n \"under the terms of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/\",\n \"q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r\",\n \"+= (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data):\",\n \"Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves,\",\n \"- Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2)\",\n \"( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 *\",\n \"return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water\",\n \"= ( f(q_r) - f(q_l) - s_2 * q_r + s_1 * q_l\",\n \"= q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] /\",\n \"cbar | W_2 = | 1 | s_1 = ubar + cbar |\",\n \"\\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2\",\n \"- Use a HLL solver * Exact - Use a newton iteration to\",\n \"# encoding: utf-8 r\\\"\\\"\\\" Riemann solvers for the shallow water equations. The available\",\n \"s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0)\",\n \"s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been\",\n \"xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0)\",\n \"s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1\",\n \"delta_hu + (ubar + cbar) * delta_h ) / cbar a2 = 0.5\",\n \"= a1 * (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:] =\",\n \"= a2 * (ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']:\",\n \") / (s_1 - s_2) *problem_data* should contain: - *g* - (float) Gravitational\",\n \"(BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn =\",\n \"np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros(\",\n \"* (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] *\",\n \"s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r\",\n \"| W_2 = | 1 | s_1 = ubar + cbar | ubar\",\n \"/ cbar a2 = 0.5 * ( delta[1,:] - (ubar - cbar) *\",\n \"fwaves Also includes support for bathymetry but be wary if you think you\",\n \"+ (ubar + cbar) * delta[0,:]) / cbar a2 = 0.5 * (\",\n \"* wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water\",\n \"(s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 -\",\n \"0.5 * ( - delta_hu + (ubar + cbar) * delta_h ) /\",\n \"\\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2\",\n \"- s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] =\",\n \"delta_h ) / cbar *problem_data* should contain: - *g* - (float) Gravitational constant\",\n \"/ (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:]\",\n \"using fwaves Also includes support for bathymetry but be wary if you think\",\n \"are: * Roe - Use Roe averages to caluclate the solution to the\",\n \"* problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r =\",\n \"Boolean as to whether a entropy fix should be used, if not present,\",\n \"0 where .. math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u\",\n \"(num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l\",\n \"as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow\",\n \"| 1 | s_1 = ubar + cbar | ubar + cbar |\",\n \"s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:]\",\n \"def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also\",\n \"hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h` is the water column\",\n \"+= np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq,\",\n \"you think you might have dry states as this has not been tested.\",\n \"* u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2\",\n \"s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r\",\n \"W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat\",\n \"q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:]))\",\n \"- problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2\",\n \"- s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:])\",\n \"return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver ::\",\n \"h_r)) W_1 = | 1 | s_1 = ubar - cbar | ubar\",\n \"iteration to calculate the exact solution to the Riemann problem .. math:: q_t\",\n \"q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays fwave = np.empty(\",\n \"delta = q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar +\",\n \"h u \\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h` is\",\n \"apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r,\",\n \"num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:]\",\n \"g * q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g *\",\n \"0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2 =\",\n \"# Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in\",\n \"num_waves = 2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) )\",\n \"1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:]\",\n \"= 0.5 * ( delta_hu - (ubar - cbar) * delta_h ) /\",\n \"= beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2\",\n \"= u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 =\",\n \"amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) #\",\n \"water column height, :math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors:\",\n \"Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:]))\",\n \"+= (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:]\",\n \"np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r,\",\n \"to calculate the exact solution to the Riemann problem .. math:: q_t +\",\n \"cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 *\",\n \"r\\\"\\\"\\\" Riemann solvers for the shallow water equations. The available solvers are: *\",\n \"each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r -\",\n \"wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann\",\n \"= np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:]\",\n \"s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:]\",\n \"q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g * 0.5 *\",\n \"is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] #\",\n \"phi_r = q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds\",\n \"entropy fix should be used, if not present, false is assumed :Version: 1.0\",\n \"- cbar | W_2 = | 1 | s_1 = ubar + cbar\",\n \"q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:])\",\n \"(2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> #\",\n \"| 1 | s_1 = ubar - cbar | ubar - cbar |\",\n \"delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g *\",\n \"cbar) * delta_h ) / cbar a2 = 0.5 * ( delta_hu -\",\n \"- (bool) Boolean as to whether a entropy fix should be used, if\",\n \"mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] +=\",\n \"and :math:`h` is the water column height, :math:`u` the velocity and :math:`g` is\",\n \"num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn,\",\n \"s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver :: W_1 =\",\n \"Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) -\",\n \"q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp))\",\n \"- q_l a1 = 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:])\",\n \"waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] =\",\n \"*grav* - (float) Gravitational constant - *sea_level* - (float) Datum from which the\",\n \"W_2 = | 1 | s_1 = ubar + cbar | ubar +\",\n \"http://www.opensource.org/licenses/ # ============================================================================ import numpy as np num_eqn = 2 num_waves = 2\",\n \"\\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h` is the water\",\n \"# Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 #\",\n \"problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 +\",\n \"* Exact - Use a newton iteration to calculate the exact solution to\",\n \"np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged\",\n \"solver .. warning:: This solver has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact\",\n \"* q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] -\",\n \"f(q) = \\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2 g h^2\",\n \"= 2 num_waves = 2 # Output arrays fwave = np.empty( (num_eqn, num_waves,\",\n \"q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l =\",\n \"\\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h`\",\n \"# Distributed under the terms of the Berkeley Software Distribution (BSD) # license\",\n \"where .. math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array}\",\n \"# Array shapes num_rp = q_l.shape[1] # Output arrays wave = np.empty( (num_eqn,\",\n \"(num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn,\",\n \"(num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3,\",\n \"a1 = 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar\",\n \"* s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m in\",\n \"s_1 = ubar + cbar | ubar + cbar | a1 = 0.5\",\n \"num_eqn = 2 num_waves = 2 # Output arrays fwave = np.empty( (num_eqn,\",\n \"to caluclate the solution to the Riemann problem * HLL - Use a\",\n \"cbar) * delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] - (ubar\",\n \"q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute\",\n \"not been tested. *problem_data* should contain: - *grav* - (float) Gravitational constant -\",\n \"and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" #\",\n \"else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:]\",\n \"(q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 -\",\n \"present, false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp =\",\n \"s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat =\",\n \"but be wary if you think you might have dry states as this\",\n \"amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver .. warning:: This\",\n \"ubar + cbar | ubar + cbar | a1 = 0.5 * (\",\n \"= np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq\",\n \"(ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix\",\n \"this has not been tested. *problem_data* should contain: - *grav* - (float) Gravitational\",\n \"* q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] =\",\n \"apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver :: W_1 = Q_hat -\",\n \"= u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:]\",\n \"*efix* - (bool) Boolean as to whether a entropy fix should be used,\",\n \"- delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1)\",\n \"- q_l[1,:] delta2 = phi_r - phi_l + g * 0.5 * (q_r[0,:]\",\n \"= Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2\",\n \"- c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:]\",\n \"if not present, false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes\",\n \"q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:]))\",\n \"# Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.zeros(\",\n \"wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow\",\n \"+ q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] *\",\n \"shallow water equations. The available solvers are: * Roe - Use Roe averages\",\n \"= ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) /\",\n \"ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar)\",\n \"+ 1/2 g h^2 \\\\end{array}\\\\right ]. and :math:`h` is the water column height,\",\n \"wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar\",\n \"have dry states as this has not been tested. *problem_data* should contain: -\",\n \"0.5 * g * (h_l + h_r)) W_1 = | 1 | s_1\",\n \"(s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] -\",\n \":Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2\",\n \"| s_1 = ubar + cbar | ubar + cbar | a1 =\",\n \"<reponame>ian-r-rose/visualization #!/usr/bin/env python # encoding: utf-8 r\\\"\\\"\\\" Riemann solvers for the shallow water\",\n \"= np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] -\",\n \"used, if not present, false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array\",\n \"q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] *\",\n \"apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = (\",\n \"* (h_l + h_r)) W_1 = | 1 | s_1 = ubar -\",\n \"= 2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s\",\n \"# Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:],\",\n \"+ q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2)\",\n \"not been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw\",\n \"- q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for\",\n \"- f(q_l) - s_2 * q_r + s_1 * q_l ) / (s_1\",\n \"* ( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar # Compute\",\n \"np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water\",\n \"(ubar - cbar) * delta_h ) / cbar *problem_data* should contain: - *g*\",\n \"| ubar + cbar | a1 = 0.5 * ( - delta_hu +\",\n \"(2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] # Output arrays wave =\",\n \"num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar\",\n \"+ sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 * g *\",\n \"(q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r - q_l a1\",\n \"Compute Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:]))\",\n \"return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver\",\n \"| ubar - cbar | W_2 = | 1 | s_1 = ubar\",\n \"= q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:]\",\n \"in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >=\",\n \"in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0)\",\n \"- *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes\",\n \"*sea_level* - (float) Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05)\",\n \"* (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2 = 0.5\",\n \"q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5\",\n \"q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l =\",\n \"[ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right ], the flux function is\",\n \"q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:]\",\n \"wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data):\",\n \"Use Roe averages to caluclate the solution to the Riemann problem * HLL\",\n \"contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array\",\n \"s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l\",\n \"cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] /\",\n \"s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver\",\n \"think you might have dry states as this has not been tested. *problem_data*\",\n \"= np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract\",\n \"for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] +=\",\n \"* g * (h_l + h_r)) W_1 = | 1 | s_1 =\",\n \"s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] =\",\n \"g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 =\",\n \"/ cbar a2 = 0.5 * ( delta_hu - (ubar - cbar) *\",\n \"s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2 * (ubar\",\n \"2009 <NAME> <<EMAIL>> # # Distributed under the terms of the Berkeley Software\",\n \"# # Distributed under the terms of the Berkeley Software Distribution (BSD) #\",\n \"* wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def\",\n \"Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy as\",\n \"should contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" #\",\n \"aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2\",\n \"q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:] =\",\n \"(bool) Boolean as to whether a entropy fix should be used, if not\",\n \"amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver :: W_1 = Q_hat\",\n \"+ cbar | a1 = 0.5 * ( - delta_hu + (ubar +\",\n \"q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2\",\n \"python # encoding: utf-8 r\\\"\\\"\\\" Riemann solvers for the shallow water equations. The\",\n \"- cbar) * delta_h ) / cbar *problem_data* should contain: - *g* -\",\n \"(num_eqn, num_waves, num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros(\",\n \"np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l\",\n \"a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar - cbar\",\n \"((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav']\",\n \".. math:: q_t + f(q)_x = 0 where .. math:: q(x,t) = \\\\left\",\n \"= np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l\",\n \"- q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] -\",\n \"- cbar) * delta[0,:]) / cbar # Compute each family of waves wave[0,0,:]\",\n \"has not been tested. *problem_data* should contain: - *grav* - (float) Gravitational constant\",\n \"* ( delta_hu - (ubar - cbar) * delta_h ) / cbar *problem_data*\",\n \"<<EMAIL>> # # Distributed under the terms of the Berkeley Software Distribution (BSD)\",\n \"height, :math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05):\",\n \"def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l) +\",\n \"constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] num_eqn =\",\n \"= \\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right\",\n \"numpy as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe\",\n \"a2 = 0.5 * ( delta_hu - (ubar - cbar) * delta_h )\",\n \"variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:]\",\n \"arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp)\",\n \".. warning:: This solver has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact swe\",\n \"* q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) #\",\n \"q_r - q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn):\",\n \"fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:]\",\n \"s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l +\",\n \"= np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:]\",\n \"solvers are: * Roe - Use Roe averages to caluclate the solution to\",\n \"(ubar + cbar) * delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:]\",\n \"np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] *\",\n \"np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq = np.zeros(\",\n \"wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver :: W_1\",\n \"Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) /\",\n \"Gravitational constant - *sea_level* - (float) Datum from which the dry-state is calculated.\",\n \"version \\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed\",\n \"should be used, if not present, false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\"\",\n \"fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver ..\",\n \"= sqrt( 0.5 * g * (h_l + h_r)) W_1 = | 1\",\n \"2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l)\",\n \"= | 1 | s_1 = ubar + cbar | ubar + cbar\",\n \"shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also includes\",\n \"has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact swe solver has not been\",\n \"cbar | a1 = 0.5 * ( - delta_hu + (ubar + cbar)\",\n \"apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] -\",\n \"- s_2) *problem_data* should contain: - *g* - (float) Gravitational constant :Version: 1.0\",\n \"* Roe - Use Roe averages to caluclate the solution to the Riemann\",\n \"the water column height, :math:`u` the velocity and :math:`g` is the gravitational acceleration.\",\n \"Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 *\",\n \"shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver :: W_1 = Q_hat - Q_l s_1\",\n \"beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2 =\",\n \"((q_r[1,:] - q_l[1,:] - s[1,:] * q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:]\",\n \"fix has not been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn):\",\n \"= phi_r - phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) *\",\n \"whether a entropy fix should be used, if not present, false is assumed\",\n \"c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state\",\n \"g * (h_l + h_r)) W_1 = | 1 | s_1 = ubar\",\n \"assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] # Output\",\n \"amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using\",\n \"# Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms of\",\n \"+ s_1 * q_l ) / (s_1 - s_2) *problem_data* should contain: -\",\n \"phi_r - phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:]\",\n \"shallow water solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2\",\n \"q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:]\",\n \"wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar + cbar if\",\n \"* problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) -\",\n \"aux_l, aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also includes support for\",\n \"/ (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2\",\n \"arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp)\",\n \"*problem_data* should contain: - *g* - (float) Gravitational constant - *efix* - (bool)\",\n \"s = np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq\",\n \"np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:])\",\n \"0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2)\",\n \"0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] *\",\n \"is .. math:: f(q) = \\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2 +\",\n \"ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] = u_l -\",\n \"for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] +=\",\n \"xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:]\",\n \"u_r + c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute\",\n \"* q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] -\",\n \"This solver has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact swe solver has\",\n \"beta2 = (delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] =\",\n \"s_2) *problem_data* should contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05)\",\n \"* q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:]\",\n \"of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] = q_r - q_hat #\",\n \"cbar a2 = 0.5 * ( delta_hu - (ubar - cbar) * delta_h\",\n \"/ q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index =\",\n \"- cbar | ubar - cbar | W_2 = | 1 | s_1\",\n \"np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow\",\n \"1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 *\",\n \"= u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g * q_r[0,:])\",\n \"* ( - delta_hu + (ubar + cbar) * delta_h ) / cbar\",\n \"Roe - Use Roe averages to caluclate the solution to the Riemann problem\",\n \"shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) +\",\n \":Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp = q_l.shape[1] num_eqn = 2\",\n \"r\\\"\\\"\\\" HLL shallow water solver :: W_1 = Q_hat - Q_l s_1 =\",\n \"xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) *\",\n \"- s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:]\",\n \") # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:])\",\n \"- delta_hu + (ubar + cbar) * delta_h ) / cbar a2 =\",\n \"/ q_r[0,:], 0.0) phi_l = q_l[0,:] * u_l**2 + 0.5 * g *\",\n \"u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat = np.empty((2,num_rp))\",\n \"1 | s_1 = ubar + cbar | ubar + cbar | a1\",\n \"wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver\",\n \"Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves):\",\n \"wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar - cbar wave[0,1,:]\",\n \") apdq = np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar =\",\n \"left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) )\",\n \"np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r\",\n \"+ f(q)_x = 0 where .. math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h\",\n \"= np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] =\",\n \"+ g * 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1\",\n \"num_rp) ) s = np.zeros( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp)\",\n \"* q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each\",\n \"= ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5\",\n \"structure delta = q_r - q_l a1 = 0.5 * (-delta[1,:] + (ubar\",\n \"# Compute Flux structure delta = q_r - q_l a1 = 0.5 *\",\n \"2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in 1d::\",\n \"ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else:\",\n \"* q_r + s_1 * q_l ) / (s_1 - s_2) *problem_data* should\",\n \"Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves,\",\n \"============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms\",\n \"not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact swe solver has not been implemented.\\\")\",\n \"1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt(\",\n \"+ h_r)) W_1 = | 1 | s_1 = ubar - cbar |\",\n \"Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1 * (ubar\",\n \"Use a newton iteration to calculate the exact solution to the Riemann problem\",\n \"* u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l\",\n \"solver :: W_1 = Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r\",\n \"right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) +\",\n \"= beta2 * s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:]\",\n \"* problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r\",\n \"caluclate the solution to the Riemann problem * HLL - Use a HLL\",\n \"* (q_l[0,:] + q_r[0,:])) # Compute Flux structure delta = q_r - q_l\",\n \"in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:]\",\n \"- (float) Gravitational constant - *efix* - (bool) Boolean as to whether a\",\n \"# ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the\",\n \"exact solution to the Riemann problem .. math:: q_t + f(q)_x = 0\",\n \"* q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] *\",\n \"solvers for the shallow water equations. The available solvers are: * Roe -\",\n \"* delta_h ) / cbar a2 = 0.5 * ( delta_hu - (ubar\",\n \"- (ubar - cbar) * delta[0,:]) / cbar # Compute each family of\",\n \"- (float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp =\",\n \"Exact - Use a newton iteration to calculate the exact solution to the\",\n \"+ cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has\",\n \"ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5\",\n \"+ 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:] * q_r[1,:] + s[0,:] *\",\n \"q_hat # Compute variations s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw\",\n \"u_r**2 + 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l -\",\n \"q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:]\",\n \"q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l + g\",\n \"= (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r)) cbar = sqrt( 0.5 *\",\n \"= 0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar\",\n \"delta2 = phi_r - phi_l + g * 0.5 * (q_r[0,:] + q_l[0,:])\",\n \"(ubar - cbar) * delta[0,:]) / cbar # Compute each family of waves\",\n \"delta_hu - (ubar - cbar) * delta_h ) / cbar *problem_data* should contain:\",\n \"problem_data['grav'] * (q_l[0,:] + q_r[0,:])) u_r = q_r[1,:] / q_r[0,:] c_r = np.sqrt(problem_data['grav']\",\n \"a HLL solver * Exact - Use a newton iteration to calculate the\",\n \"delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] - (ubar - cbar)\",\n \"- (float) Gravitational constant - *sea_level* - (float) Datum from which the dry-state\",\n \"m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0) *\",\n \"Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:]\",\n \"- *efix* - (bool) Boolean as to whether a entropy fix should be\",\n \") / cbar a2 = 0.5 * ( delta_hu - (ubar - cbar)\",\n \"r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also includes support for bathymetry but be\",\n \"num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays wave\",\n \"= np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] *\",\n \"+ 0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g\",\n \"cbar = sqrt( 0.5 * g * (h_l + h_r)) W_1 = |\",\n \"q_r + s_1 * q_l ) / (s_1 - s_2) *problem_data* should contain:\",\n \"fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for\",\n \"q_t + f(q)_x = 0 where .. math:: q(x,t) = \\\\left [ \\\\begin{array}{c}\",\n \"the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version\",\n \"solver has not been implemented. \\\"\\\"\\\" raise NotImplementedError(\\\"The exact swe solver has not\",\n \"shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r))\",\n \"+ c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle\",\n \"= ubar - cbar | ubar - cbar | W_2 = | 1\",\n \"= ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\")\",\n \"delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:]\",\n \"* (ubar + cbar) s[1,:] = ubar + cbar if problem_data['efix']: raise NotImplementedError(\\\"Entropy\",\n \"= 0.5 * (-delta[1,:] + (ubar + cbar) * delta[0,:]) / cbar a2\",\n \"W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) -\",\n \"q_l ) / (s_1 - s_2) *problem_data* should contain: - *g* - (float)\",\n \"Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r + np.sqrt(g\",\n \"= 0 where .. math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h\",\n \"sqrt( 0.5 * g * (h_l + h_r)) W_1 = | 1 |\",\n \"np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and left speeds ubar\",\n \"wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l,\",\n \"+ 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] *\",\n \"* fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq,\",\n \"c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index = np.empty((4,num_rp)) s_index[0,:]\",\n \"amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s,\",\n \"num_rp) ) # Compute Roe and right and left speeds ubar = (\",\n \"q_r[0,:] + s[0,:] * q_l[0,:]) / (s[0,:] - s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] +\",\n \"= \\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right ], the flux\",\n \"water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l) + sqrt(h_r))\",\n \"\\\\left [ \\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right ], the flux function\",\n \"# ============================================================================ import numpy as np num_eqn = 2 num_waves = 2 def\",\n \"Riemann problem .. math:: q_t + f(q)_x = 0 where .. math:: q(x,t)\",\n \"/ q_r[0,:] c_r = np.sqrt(problem_data['grav'] * q_r[0,:]) u_l = q_l[1,:] / q_l[0,:] c_l\",\n \"- cbar) s[0,:] = ubar - cbar wave[0,1,:] = a2 wave[1,1,:] = a2\",\n \"m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:] += np.min(s_index,axis=0)\",\n \"[ \\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ]. and\",\n \"Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms of the\",\n \"q_l[1,:] delta2 = phi_r - phi_l + g * 0.5 * (q_r[0,:] +\",\n \"(num_eqn, num_rp) ) # Compute Roe and right and left speeds ubar =\",\n \"= np.empty( (num_waves, num_rp) ) amdq = np.zeros( (num_eqn, num_rp) ) apdq =\",\n \"Array shapes num_rp = q_l.shape[1] num_eqn = 2 num_waves = 2 # Output\",\n \"* q_l[0,:]**2 phi_r = q_r[0,:] * u_r**2 + 0.5 * g * q_r[0,:]**2\",\n \"============================================================================ import numpy as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data):\",\n \"Use a HLL solver * Exact - Use a newton iteration to calculate\",\n \"* 0.5 * (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:]\",\n \"\\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2 g h^2 \\\\end{array}\\\\right ].\",\n \"Distributed under the terms of the Berkeley Software Distribution (BSD) # license #\",\n \"might have dry states as this has not been tested. *problem_data* should contain:\",\n \"+ np.sqrt(g * q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r -\",\n \"\\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # # Distributed under\",\n \"g h^2 \\\\end{array}\\\\right ]. and :math:`h` is the water column height, :math:`u` the\",\n \"which the dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp\",\n \"as to whether a entropy fix should be used, if not present, false\",\n \"np.zeros( (num_eqn, num_rp) ) # Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) +\",\n \"delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar # Compute each family\",\n \"* g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:])\",\n \"fwave[1,1,:] = beta2 * s[1,:] for m in xrange(num_eqn): for mw in xrange(num_waves):\",\n \"1.0 (2014-09-05) \\\"\\\"\\\" g = problem_data['grav'] num_rp = q_l.shape[1] num_eqn = 2 num_waves\",\n \"math:: f(q) = \\\\left [ \\\\begin{array}{c} h u \\\\\\\\ hu^2 + 1/2 g\",\n \"aux_r, problem_data): r\\\"\\\"\\\"Shallow water Riemann solver using fwaves Also includes support for bathymetry\",\n \"be used, if not present, false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" #\",\n \"* fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water\",\n \"middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:] *\",\n \"- problem_data['sea_level'] > 1e-3, q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level']\",\n \"num_waves = 2 # Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) )\",\n \"def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" HLL shallow water solver :: W_1 = Q_hat - Q_l\",\n \"<NAME> <<EMAIL>> # # Distributed under the terms of the Berkeley Software Distribution\",\n \"+ q_r[0,:])) # Compute Flux structure delta = q_r - q_l a1 =\",\n \"- Use a newton iteration to calculate the exact solution to the Riemann\",\n \"num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and right\",\n \"np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) ) amdq =\",\n \"Also includes support for bathymetry but be wary if you think you might\",\n \"s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r) - f(q_l) - s_2 * q_r\",\n \"- c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r\",\n \"Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] - s[1,:]\",\n \"solution to the Riemann problem .. math:: q_t + f(q)_x = 0 where\",\n \"= 2 num_waves = 2 # Output arrays wave = np.empty( (num_eqn, num_waves,\",\n \"np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] = u_r - c_r s[1,:] =\",\n \"* (q_r[0,:] + q_l[0,:]) * (aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1\",\n \"a newton iteration to calculate the exact solution to the Riemann problem ..\",\n \"q_l[1,:] / q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] /\",\n \"cbar) * delta_h ) / cbar *problem_data* should contain: - *g* - (float)\",\n \"Gravitational constant - *efix* - (bool) Boolean as to whether a entropy fix\",\n \"f(q_l) - s_2 * q_r + s_1 * q_l ) / (s_1 -\",\n \"\\\\\\\\ h u \\\\end{array} \\\\right ], the flux function is .. math:: f(q)\",\n \"0.5 * g * q_r[0,:]**2 # Speeds s[0,:] = u_l - np.sqrt(g *\",\n \"* delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:]\",\n \"problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] + 0.5 * problem_data['grav'] * q_l[0,:]**2) - s[1,:]\",\n \"solution to the Riemann problem * HLL - Use a HLL solver *\",\n \"Initial version \\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009 <NAME> <<EMAIL>> # #\",\n \"* delta[0,:]) / cbar a2 = 0.5 * ( delta[1,:] - (ubar -\",\n \"Riemann problem * HLL - Use a HLL solver * Exact - Use\",\n \">= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact\",\n \"*problem_data* should contain: - *g* - (float) Gravitational constant :Version: 1.0 (2009-02-05) \\\"\\\"\\\"\",\n \"Roe shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) / (sqrt(h_l)\",\n \"has not been implemented.\\\") else: s_index = np.zeros((2,num_rp)) for m in xrange(num_eqn): for\",\n \"+ np.sqrt(q_r[0,:])) ) cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) #\",\n \"= a2 wave[1,1,:] = a2 * (ubar + cbar) s[1,:] = ubar +\",\n \"s[1,:])) q_hat[1,:] = ((q_r[1,:]**2/q_r[0,:] + 0.5 * problem_data['grav'] * q_r[0,:]**2 - (q_l[1,:]**2/q_l[0,:] +\",\n \"Riemann solvers for the shallow water equations. The available solvers are: * Roe\",\n \"amdq[m,:] += (s[mw,:] < 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) *\",\n \"* delta[0,:]) / cbar # Compute each family of waves wave[0,0,:] = a1\",\n \"- s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2\",\n \"apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq def shallow_hll_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\"\",\n \"= s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return\",\n \"#!/usr/bin/env python # encoding: utf-8 r\\\"\\\"\\\" Riemann solvers for the shallow water equations.\",\n \"wary if you think you might have dry states as this has not\",\n \"f(q)_x = 0 where .. math:: q(x,t) = \\\\left [ \\\\begin{array}{c} h \\\\\\\\\",\n \"(delta2 - s[0,:] * delta1) / (s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:]\",\n \") apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and\",\n \"(float) Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g\",\n \"cbar a2 = 0.5 * ( delta[1,:] - (ubar - cbar) * delta[0,:])\",\n \"velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\"\",\n \"s[mw,:] amdq[m,:] += np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave,\",\n \"u_l - c_l s[0,:] = np.min(s_index,axis=0) s_index[2,:] = u_r + c_r s_index[3,:] =\",\n \"speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) + np.sqrt(q_r[0,:])) ) cbar\",\n \"= q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays wave =\",\n \"def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver .. warning:: This solver has\",\n \"/ cbar *problem_data* should contain: - *g* - (float) Gravitational constant - *efix*\",\n \"apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def\",\n \"# Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty(\",\n \"< 0.0) * fwave[m,mw,:] apdq[m,:] += (s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave,\",\n \"\\\\end{array}\\\\right ]. and :math:`h` is the water column height, :math:`u` the velocity and\",\n \"apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe and right and left\",\n \"Riemann solver using fwaves Also includes support for bathymetry but be wary if\",\n \"\\\\begin{array}{c} h \\\\\\\\ h u \\\\end{array} \\\\right ], the flux function is ..\",\n \"s[1,:] * q_r[1,:] + s[0,:] * q_l[1,:]) / (s[0,:] - s[1,:])) # Compute\",\n \") apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:]\",\n \":math:`u` the velocity and :math:`g` is the gravitational acceleration. :Authors: <NAME> (2009-02-05): Initial\",\n \"( delta_hu - (ubar - cbar) * delta_h ) / cbar *problem_data* should\",\n \"* q_r[0,:]) delta1 = q_r[1,:] - q_l[1,:] delta2 = phi_r - phi_l +\",\n \"fwave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty( (num_waves, num_rp) )\",\n \"# Speeds s[0,:] = u_l - np.sqrt(g * q_l[0,:]) s[1,:] = u_r +\",\n \"num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Extract state u_l =\",\n \"= 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Roe shallow water solver in\",\n \"delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 - s[0,:] *\",\n \"sqrt(h_r)) cbar = sqrt( 0.5 * g * (h_l + h_r)) W_1 =\",\n \"np.zeros((2,num_rp)) for m in xrange(num_eqn): for mw in xrange(num_waves): s_index[0,:] = s[mw,:] amdq[m,:]\",\n \"s_index[2,:] = u_l + c_l s_index[3,:] = u_l - c_l s[0,:] = np.min(s_index,axis=0)\",\n \"2 num_waves = 2 # Output arrays fwave = np.empty( (num_eqn, num_waves, num_rp)\",\n \"/ cbar # Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] =\",\n \"(s[1,:] * delta1 - delta2) / (s[1,:] - s[0,:]) beta2 = (delta2 -\",\n \"min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 = max(u_r-c_r,u_r+c_r,lambda_roe_1,lambda_roe_2) Q_hat = ( f(q_r)\",\n \"- s_2 * q_r + s_1 * q_l ) / (s_1 - s_2)\",\n \"q_l[0,:] * u_l**2 + 0.5 * g * q_l[0,:]**2 phi_r = q_r[0,:] *\",\n \"* q_l[1,:]) / (s[0,:] - s[1,:])) # Compute each family of waves wave[:,0,:]\",\n \"to the Riemann problem * HLL - Use a HLL solver * Exact\",\n \"u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l =\",\n \"apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\" Exact shallow water Riemann solver .. warning:: This solver\",\n \"q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt speeds s_index\",\n \"u \\\\end{array} \\\\right ], the flux function is .. math:: f(q) = \\\\left\",\n \"Q_hat - Q_l s_1 = min(u_l-c_l,u_l+c_l,lambda_roe_1,lambda_roe_2) W_2 = Q_r - Q_hat s_2 =\",\n \") # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level'] > 1e-3, q_l[1,:] /\",\n \"= np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute\",\n \"cbar # Compute each family of waves wave[0,0,:] = a1 wave[1,0,:] = a1\",\n \"# Compute each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:] =\",\n \"\\\\end{array} \\\\right ], the flux function is .. math:: f(q) = \\\\left [\",\n \"beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] = beta2 *\",\n \") # Compute Roe and right and left speeds ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:])\",\n \"for the shallow water equations. The available solvers are: * Roe - Use\",\n \"(C) 2009 <NAME> <<EMAIL>> # # Distributed under the terms of the Berkeley\",\n \"u_l = q_l[1,:] / q_l[0,:] c_l = np.sqrt(problem_data['grav'] * q_l[0,:]) # Compute Einfeldt\",\n \"of the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import\",\n \"the solution to the Riemann problem * HLL - Use a HLL solver\",\n \"# Compute middle state q_hat = np.empty((2,num_rp)) q_hat[0,:] = ((q_r[1,:] - q_l[1,:] -\",\n \"+ cbar | ubar + cbar | a1 = 0.5 * ( -\",\n \"(aux_r[0,:] - aux_l[0,:]) beta1 = (s[1,:] * delta1 - delta2) / (s[1,:] -\",\n \"( delta[1,:] - (ubar - cbar) * delta[0,:]) / cbar # Compute each\",\n \"if problem_data['efix']: raise NotImplementedError(\\\"Entropy fix has not been implemented.\\\") else: s_index = np.zeros((2,num_rp))\",\n \"# Output arrays wave = np.empty( (num_eqn, num_waves, num_rp) ) s = np.empty(\",\n \"q_l[0,:], 0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0)\",\n \"import numpy as np num_eqn = 2 num_waves = 2 def shallow_roe_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\"\",\n \"should contain: - *g* - (float) Gravitational constant - *efix* - (bool) Boolean\",\n \"= 0.5 * ( - delta_hu + (ubar + cbar) * delta_h )\",\n \":Authors: <NAME> (2009-02-05): Initial version \\\"\\\"\\\" # ============================================================================ # Copyright (C) 2009 <NAME>\",\n \"np.min(s_index,axis=0) * wave[m,mw,:] apdq[m,:] += np.max(s_index,axis=0) * wave[m,mw,:] return wave, s, amdq, apdq\",\n \"= u_r + c_r s_index[3,:] = u_r - c_r s[1,:] = np.max(s_index,axis=0) #\",\n \"np.zeros( (num_eqn, num_rp) ) apdq = np.zeros( (num_eqn, num_rp) ) # Compute Roe\",\n \"s[1,:])) # Compute each family of waves wave[:,0,:] = q_hat - q_l wave[:,1,:]\",\n \"Datum from which the dry-state is calculated. :Version: 1.0 (2014-09-05) \\\"\\\"\\\" g =\",\n \"| a1 = 0.5 * ( - delta_hu + (ubar + cbar) *\",\n \"# Compute roe-averaged quantities ubar = ( (q_l[1,:]/np.sqrt(q_l[0,:]) + q_r[1,:]/np.sqrt(q_r[0,:])) / (np.sqrt(q_l[0,:]) +\",\n \"r\\\"\\\"\\\" Exact shallow water Riemann solver .. warning:: This solver has not been\",\n \"cbar = np.sqrt(0.5 * problem_data['grav'] * (q_l[0,:] + q_r[0,:])) # Compute Flux structure\",\n \"h \\\\\\\\ h u \\\\end{array} \\\\right ], the flux function is .. math::\",\n \"= np.zeros( (num_eqn, num_rp) ) # Extract state u_l = np.where(q_l[0,:] - problem_data['sea_level']\",\n \"*g* - (float) Gravitational constant - *efix* - (bool) Boolean as to whether\",\n \"bathymetry but be wary if you think you might have dry states as\",\n \"- (ubar - cbar) * delta_h ) / cbar *problem_data* should contain: -\",\n \"= np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l = q_l[0,:]\",\n \"fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] = beta2 fwave[1,1,:] =\",\n \"s_1 = ubar - cbar | ubar - cbar | W_2 = |\",\n \"*problem_data* should contain: - *grav* - (float) Gravitational constant - *sea_level* - (float)\",\n \"* HLL - Use a HLL solver * Exact - Use a newton\",\n \"not present, false is assumed :Version: 1.0 (2009-02-05) \\\"\\\"\\\" # Array shapes num_rp\",\n \"* wave[m,mw,:] return wave, s, amdq, apdq def shallow_fwave_1d(q_l, q_r, aux_l, aux_r, problem_data):\",\n \"(s[mw,:] >= 0.0) * fwave[m,mw,:] return fwave, s, amdq, apdq def shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\\\"\\\"\\\"\",\n \"0.0) u_r = np.where(q_r[0,:] - problem_data['sea_level'] > 1e-3, q_r[1,:] / q_r[0,:], 0.0) phi_l\",\n \"tested. *problem_data* should contain: - *grav* - (float) Gravitational constant - *sea_level* -\",\n \"(s[1,:] - s[0,:]) fwave[0,0,:] = beta1 fwave[1,0,:] = beta1 * s[0,:] fwave[0,1,:] =\",\n \"s_index[0,:] = ubar+cbar s_index[1,:] = ubar-cbar s_index[2,:] = u_l + c_l s_index[3,:] =\",\n \"the Berkeley Software Distribution (BSD) # license # http://www.opensource.org/licenses/ # ============================================================================ import numpy\",\n \"includes support for bathymetry but be wary if you think you might have\",\n \"r\\\"\\\"\\\" Roe shallow water solver in 1d:: ubar = (sqrt(u_l) + sqrt(u_r)) /\",\n \"q_l.shape[1] num_eqn = 2 num_waves = 2 # Output arrays wave = np.empty(\",\n \"available solvers are: * Roe - Use Roe averages to caluclate the solution\"\n]","isConversational":false}}},{"rowIdx":757,"cells":{"ngram":{"kind":"list like","value":["in constant: if not isHashable(value): return False return True elif constant is Ellipsis:","return None elif constant_type is slice: return None else: assert False, constant_type def","and # integrates with CPython, but also works on its own. # #","in ( str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type,","# Due to NaN values, we need to compare each set element with","KIND, either express or implied. # See the License for the specific language","Unless required by applicable law or agreed to in writing, software # distributed","getUnhashableConstant(value) if res is not None: return res return None elif constant is","pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key, value in","one types that is not mutable, and still not hashable: slices. \"\"\" #","type, BuiltinFunctionType, ): return True elif constant_type in (dict, list, set, slice, bytearray):","a constant hashable That means a user of a reference to it, can","that is compatible and # integrates with CPython, but also works on its","set, bytearray): return True elif constant_type is tuple: for value in constant: if","None elif constant in constant_builtin_types: return None elif constant_type is slice: return None","integrates with CPython, but also works on its own. # # Licensed under","constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result = 0","NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True elif constant in","BuiltinFunctionType, ): return False elif constant_type in (dict, list, set, bytearray): return True","import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import","a value will be usable at compile time. \"\"\" # This needs to","same way, therefore above checks. return a == b # These built-in type","constant_builtin_types += ( unicode, long, # This has no name in Python, but","element_value in constant: if not isConstant(element_value): return False return True elif constant_type is","the natural one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many cases","elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could","in (dict, list, set, bytearray): return True elif constant_type is tuple: for value","usable at compile time. \"\"\" # This needs to match code in makeCompileTimeConstantReplacementNode","len(b): return False for ea in a: if ea not in b: #","set, dict, slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types +=","this file except in compliance with the License. # You may obtain a","Is a constant mutable That means a user of a reference to it,","builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many many cases","( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, slice, xrange,","return False return True if type(a) in (frozenset, set): if len(a) != len(b):","constant_type is tuple: for value in constant: res = getUnhashableConstant(value) if res is","bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif","mutable. \"\"\" # Many cases and all return, that is how we do","in zip(a, b): if not compareConstants(ea, eb): return False return True if type(a)","therefore above checks. return a == b # These built-in type references are","for value in constant: if isMutable(value): return True return False elif constant is","return False for ea in a: if ea not in b: # Due","# complete. constant_builtin_types = ( int, str, float, list, tuple, set, dict, slice,","for quicker testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list )","set, frozenset): result = 0 for element_value in constant: result += getConstantWeight(element_value) return","and test constants. \"\"\" import math from types import BuiltinFunctionType from nuitka.Builtins import","300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, # This has","): return False elif constant_type in (dict, list, set, bytearray): return True elif","import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import","in builtin_named_values_list: # TODO: Some others could also be usable and even interesting,","ANY KIND, either express or implied. # See the License for the specific","unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType","# all the other set to be really sure. for eb in b:","in (tuple, list): for element_value in constant: if not isConstant(element_value): return False return","Supposed fast path for comparison. if type(a) is not type(b): return False #","is slice: return None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in","type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create it proper size",") if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode,","\"\"\" # Many cases and all return, that is how we do it","long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, )","builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build this as a","None elif constant_type in (dict, list, set): return constant elif constant_type is tuple:","path for comparison. if type(a) is not type(b): return False # Now it's","in the same way, therefore above checks. return a == b # These","False elif constant_type is tuple: for value in constant: if not isHashable(value): return","it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for","math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True","False if not isConstant(value): return False return True elif constant_type in (tuple, list):","xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented): return True","return False else: assert False, repr(constant) def isHashable(constant): \"\"\" Is a constant hashable","deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is","in ( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, set,","key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif","values, we need to compare each set element with # all the other","constant_type in (tuple, list, set, frozenset): result = 0 for element_value in constant:","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","False def isMutable(constant): \"\"\" Is a constant mutable That means a user of","range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict,","isHashable(value): return False return True elif constant_type is frozenset: for value in constant:","mutable, there is one types that is not mutable, and still not hashable:","True elif constant is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant):","True elif constant_type is tuple: for value in constant: if isMutable(value): return True","float: # Check sign first, -0.0 is not 0.0, or -nan is not","for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else:","return False elif constant is NotImplemented: return False else: assert False, repr(constant) def","distinct from mutable, there is one types that is not mutable, and still","we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in","other node types, e.g. str.join is # a candidate. return True else: return","compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check sign first,","in (tuple, list): if len(a) != len(b): return False for ea, eb in","return False # Now it's either not the same, or it is a","complex, int, long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ):","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","type(constant) if constant_type is dict: for key, value in iterItems(constant): if not isConstant(key):","constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: #","tuple: for value in constant: if isMutable(value): return True return False elif constant_type","float that is NaN, the other cases can use == at the end.","with # all the other set to be really sure. for eb in","( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, set, frozenset,","constant: if isMutable(value): return True return False elif constant_type is frozenset: for value","quicker testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif","mutable, and still not hashable: slices. \"\"\" # Many cases and all return,","is frozenset: for value in constant: if not isHashable(value): return False return True","permissions and # limitations under the License. # \"\"\" Module for constants in","too. The list should be # complete. constant_builtin_types = ( int, str, float,","False elif constant_type in (dict, list, set, bytearray): return True elif constant_type is","list should be # complete. constant_builtin_types = ( int, str, float, list, tuple,","a reference to it, can modify it. Strings are a prime example of","( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def","OF ANY KIND, either express or implied. # See the License for the","is how we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if","b.real) if type(a) is float: # Check sign first, -0.0 is not 0.0,","type, BuiltinFunctionType, ): return False elif constant_type in (dict, list, set, bytearray): return","len(a) != len(b): return False for ea, eb in zip(a, b): if not","True if type(a) is xrange: return str(a) == str(b) # The NaN values","slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else:","constant_type is tuple: for value in constant: if not isHashable(value): return False return","in (dict, list, set, slice, bytearray): return False elif constant_type is tuple: for","value in iterItems(constant): if not isConstant(key): return False if not isConstant(value): return False","it's either not the same, or it is a container that contains NaN","NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += (","in Nuitka. This contains tools to compare, classify and test constants. \"\"\" import","False for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1,","container that contains NaN or it # is a complex or float that","in constant: if not isConstant(element_value): return False return True elif constant_type is slice:","return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int,","# Part of \"Nuitka\", an optimizing Python compiler that is compatible and #","Now it's either not the same, or it is a container that contains","type(constant) if constant_type in ( str, unicode, complex, int, long, bool, float, NoneType,","return result else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if a value will","if isConstant(value): return True elif type(value) is type: return True else: return False","the same, or it is a container that contains NaN or it #","dict: for key, value in iterItems(constant): if not isConstant(key): return False if not","isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif constant_type in (","frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented): return","getUnhashableConstant(constant): # Too many cases and all return, that is how we do","do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in (","return None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str,","may let this fail, even if the # constants are built in the","\"\"\" import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions","\"Nuitka\", an optimizing Python compiler that is compatible and # integrates with CPython,","complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types","constant_type = type(constant) if constant_type is dict: result = 0 for key, value","+= getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if a","constant_type = type(constant) if constant_type is dict: for key, value in iterItems(constant): if","NaN, the other cases can use == at the end. if type(a) is","if type(a) is xrange: return str(a) == str(b) # The NaN values of","frozenset: for value in constant: if not isHashable(value): return False return True elif","at the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real)","True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list:","if isMutable(value): return True return False elif constant is Ellipsis: return False elif","type(None) def compareConstants(a, b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements","it. Strings are a prime example of immutable, dictionaries are mutable. \"\"\" #","Strings are a prime example of immutable, dictionaries are mutable. \"\"\" # Many","True return False elif constant_type is frozenset: for value in constant: if isMutable(value):","return None elif constant_type in (dict, list, set): return constant elif constant_type is","list, set, frozenset): result = 0 for element_value in constant: result += getConstantWeight(element_value)","not 0.0, or -nan is not nan, it has a # different sign","usable and even interesting, but # then probably should go into other node","to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type:","to it, can modify it. Strings are a prime example of immutable, dictionaries","return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant):","and set keys. This is distinct from mutable, there is one types that","BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import (","b): return False if math.isnan(a) and math.isnan(b): return True return a == b","governing permissions and # limitations under the License. # \"\"\" Module for constants","ea in a: if ea not in b: # Due to NaN values,","+= (bytes,) else: constant_builtin_types += ( unicode, long, # This has no name","The NaN values of float and complex may let this fail, even if","a set for quicker testing. return ( constant.__name__ in builtin_type_names or constant in","values of float and complex may let this fail, even if the #","in constant_builtin_types: return None elif constant_type is slice: return None else: assert False,","Is a constant hashable That means a user of a reference to it,","software # distributed under the License is distributed on an \"AS IS\" BASIS,","return None elif constant is Ellipsis: return None elif constant in constant_builtin_types: return","if res is not None: return res return None elif constant is Ellipsis:","the License. # \"\"\" Module for constants in Nuitka. This contains tools to","elif constant is Ellipsis: return False elif constant is NotImplemented: return False else:",") NoneType = type(None) def compareConstants(a, b): # Many many cases to deal","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","value in constant: if isMutable(value): return True return False elif constant is Ellipsis:","how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type","unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return","def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result = 0 for","0.0, or -nan is not nan, it has a # different sign for","is not nan, it has a # different sign for a start. if","with CPython, but also works on its own. # # Licensed under the","isMutable(value): return True return False elif constant_type is frozenset: for value in constant:","iterItems(constant): if not isConstant(key): return False if not isConstant(value): return False return True","= ( int, str, float, list, tuple, set, dict, slice, complex, xrange, NoneType,","bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in","needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is","True else: return False def isMutable(constant): \"\"\" Is a constant mutable That means","int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif","builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some","name in Python, but the natural one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant):","False else: assert False, repr(constant) def isHashable(constant): \"\"\" Is a constant hashable That","): return None elif constant_type in (dict, list, set): return constant elif constant_type","= value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict:","own. # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return True","break else: return False return True if type(a) in (frozenset, set): if len(a)","for key, value in iterItems(constant): if not isConstant(key): return False if not isConstant(value):","( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return","int, long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return","value will be usable at compile time. \"\"\" # This needs to match","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","a constant mutable That means a user of a reference to it, can","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): # Too many","is dict: if len(a) != len(b): return False for ea1, ea2 in iterItems(a):","False return True elif constant_type in ( str, unicode, complex, int, long, bool,","<NAME>, mailto:<EMAIL> # # Part of \"Nuitka\", an optimizing Python compiler that is","# Now it's either not the same, or it is a container that","if type(a) is dict: if len(a) != len(b): return False for ea1, ea2","# These built-in type references are kind of constant too. The list should","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","in (frozenset, set): if len(a) != len(b): return False for ea in a:","int, str, float, list, tuple, set, dict, slice, complex, xrange, NoneType, ) if","nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( # pylint:","return False return True if type(a) is xrange: return str(a) == str(b) #","is a complex or float that is NaN, the other cases can use","but also works on its own. # # Licensed under the Apache License,","len(a) != len(b): return False for ea1, ea2 in iterItems(a): for eb1, eb2","builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems,","for constants in Nuitka. This contains tools to compare, classify and test constants.","required by applicable law or agreed to in writing, software # distributed under","ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and","return, that is how we do it here, # pylint: disable=too-many-return-statements constant_type =","if not isHashable(value): return False return True elif constant is Ellipsis: return True","return False elif constant_type is tuple: for value in constant: if not isHashable(value):","True return a == b if type(a) in (tuple, list): if len(a) !=","+= ( unicode, long, # This has no name in Python, but the","else: constant_builtin_types += ( unicode, long, # This has no name in Python,","applicable law or agreed to in writing, software # distributed under the License","from nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long,","value in constant: res = getUnhashableConstant(value) if res is not None: return res","it has a # different sign for a start. if math.copysign(1.0, a) !=","float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict,","(tuple, list, set, frozenset): result = 0 for element_value in constant: result +=","return True elif constant_type in ( str, unicode, complex, int, long, bool, float,","nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode,","and complex may let this fail, even if the # constants are built","constant_type is dict: for key, value in iterItems(constant): if not isConstant(key): return False","else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if a value will be usable","isMutable(constant): \"\"\" Is a constant mutable That means a user of a reference","= getUnhashableConstant(value) if res is not None: return res return None elif constant","False return True if type(a) is dict: if len(a) != len(b): return False","compareConstants(ea, eb): break else: return False return True if type(a) is xrange: return","built-in type references are kind of constant too. The list should be #","res return None elif constant is Ellipsis: return None elif constant in constant_builtin_types:","from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from","is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: #","could also be usable and even interesting, but # then probably should go","# then probably should go into other node types, e.g. str.join is #","or agreed to in writing, software # distributed under the License is distributed","set to be really sure. for eb in b: if compareConstants(ea, eb): break","constant hashable That means a user of a reference to it, can use","type(a) is xrange: return str(a) == str(b) # The NaN values of float","import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b):","value in constant: if not isHashable(value): return False return True elif constant is","BuiltinFunctionType, ): return None elif constant_type in (dict, list, set): return constant elif","res = getUnhashableConstant(value) if res is not None: return res return None elif","for element_value in constant: result += getConstantWeight(element_value) return result else: return 1 def","def isHashable(constant): \"\"\" Is a constant hashable That means a user of a","in ( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, )","type(constant) if constant_type is dict: result = 0 for key, value in iterItems(constant):","type(constant) in ( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray,","# This has no name in Python, but the natural one in C-API.","CONDITIONS OF ANY KIND, either express or implied. # See the License for","str, unicode, complex, int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange,","in b: if compareConstants(ea, eb): break else: return False return True if type(a)","bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True elif","it is a container that contains NaN or it # is a complex","list): if len(a) != len(b): return False for ea, eb in zip(a, b):","long, # This has no name in Python, but the natural one in","str(b) # The NaN values of float and complex may let this fail,","str(a) == str(b) # The NaN values of float and complex may let","in builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build this as","compare each set element with # all the other set to be really","def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long,","return False return True elif constant_type is slice: if ( not isConstant(constant.start) or","isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif","not type(b): return False # Now it's either not the same, or it","constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set, frozenset,","builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in","a # different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b):","(frozenset, set): if len(a) != len(b): return False for ea in a: if","len(a) != len(b): return False for ea in a: if ea not in","constant mutable That means a user of a reference to it, can modify","constant_type is frozenset: for value in constant: if not isHashable(value): return False return","of immutable, dictionaries are mutable. \"\"\" # Many cases and all return, that","elif constant_type in (tuple, list): for element_value in constant: if not isConstant(element_value): return","Nuitka. This contains tools to compare, classify and test constants. \"\"\" import math","is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could also be","in constant: if isMutable(value): return True return False elif constant_type is frozenset: for","from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( #","under the Apache License, Version 2.0 (the \"License\"); # you may not use","writing, software # distributed under the License is distributed on an \"AS IS\"","False # Now it's either not the same, or it is a container","constant: if not isHashable(value): return False return True elif constant is Ellipsis: return",") from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None)","# Many cases and all return, that is how we do it here,","if type(a) is not type(b): return False # Now it's either not the","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","compare, classify and test constants. \"\"\" import math from types import BuiltinFunctionType from","constant: res = getUnhashableConstant(value) if res is not None: return res return None","list): for element_value in constant: if not isConstant(element_value): return False return True elif","that is not mutable, and still not hashable: slices. \"\"\" # Many cases","License. # You may obtain a copy of the License at # #","( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): #","then probably should go into other node types, e.g. str.join is # a","set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant)","# Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path","a reference to it, can use it for dicts and set keys. This","return True if type(a) is dict: if len(a) != len(b): return False for","elif constant_type is frozenset: for value in constant: if not isHashable(value): return False","type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long,","has no name in Python, but the natural one in C-API. builtin_anon_names[\"instance\"], )","if type(a) in (frozenset, set): if len(a) != len(b): return False for ea","but # then probably should go into other node types, e.g. str.join is","compliance with the License. # You may obtain a copy of the License","compareConstants(a.real, b.real) if type(a) is float: # Check sign first, -0.0 is not","(dict, list, set, bytearray): return True elif constant_type is tuple: for value in","tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types","not isHashable(value): return False return True elif constant is Ellipsis: return True else:","user of a reference to it, can modify it. Strings are a prime","float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values):","its own. # # Licensed under the Apache License, Version 2.0 (the \"License\");","return True else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases and","user of a reference to it, can use it for dicts and set","example of immutable, dictionaries are mutable. \"\"\" # Many cases and all return,","elif constant_type in (dict, list, set): return constant elif constant_type is tuple: for","are mutable. \"\"\" # Many cases and all return, that is how we","!= len(b): return False for ea, eb in zip(a, b): if not compareConstants(ea,","constant_type = type(constant) if constant_type in ( str, unicode, complex, int, long, bool,","TODO: Some others could also be usable and even interesting, but # then","b # These built-in type references are kind of constant too. The list","this as a set for quicker testing. return ( constant.__name__ in builtin_type_names or","if type(a) in (tuple, list): if len(a) != len(b): return False for ea,","or float that is NaN, the other cases can use == at the","here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key,","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","-0.0 is not 0.0, or -nan is not nan, it has a #","sign first, -0.0 is not 0.0, or -nan is not nan, it has","of \"Nuitka\", an optimizing Python compiler that is compatible and # integrates with","elif constant_type is type: # Maybe pre-build this as a set for quicker","constant too. The list should be # complete. constant_builtin_types = ( int, str,","type: # Maybe pre-build this as a set for quicker testing. return (","in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant","a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and","xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return","): return False return True elif constant_type in ( str, unicode, complex, int,","in constant: if not isHashable(value): return False return True elif constant_type is frozenset:","not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif constant_type in","Part of \"Nuitka\", an optimizing Python compiler that is compatible and # integrates","# \"\"\" Module for constants in Nuitka. This contains tools to compare, classify","is # a candidate. return True else: return False def isMutable(constant): \"\"\" Is","set for quicker testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list","means a user of a reference to it, can use it for dicts","!= len(b): return False for ea1, ea2 in iterItems(a): for eb1, eb2 in","= type(None) def compareConstants(a, b): # Many many cases to deal with, pylint:","from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def","# Maybe pre-build this as a set for quicker testing. return ( constant.__name__","is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ):","constant_type is type: # Maybe pre-build this as a set for quicker testing.","for ea in a: if ea not in b: # Due to NaN","str.join is # a candidate. return True else: return False def isMutable(constant): \"\"\"","disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list,","not use this file except in compliance with the License. # You may","be # complete. constant_builtin_types = ( int, str, float, list, tuple, set, dict,","if constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, range,","else: assert False, repr(constant) def isHashable(constant): \"\"\" Is a constant hashable That means","return True return a == b if type(a) in (tuple, list): if len(a)","for value in constant: if not isHashable(value): return False return True elif constant_type","of a reference to it, can modify it. Strings are a prime example","math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True return a ==","really sure. for eb in b: if compareConstants(ea, eb): break else: return False","elif constant_type in (tuple, list, set, frozenset): result = 0 for element_value in","return True elif constant_type is frozenset: for value in constant: if not isHashable(value):","int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif","result elif constant_type in (tuple, list, set, frozenset): result = 0 for element_value","the same way, therefore above checks. return a == b # These built-in","to it, can use it for dicts and set keys. This is distinct","License, Version 2.0 (the \"License\"); # you may not use this file except","constant_builtin_types = ( int, str, float, list, tuple, set, dict, slice, complex, xrange,","def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create","above checks. return a == b # These built-in type references are kind","on its own. # # Licensed under the Apache License, Version 2.0 (the","end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a)","not isConstant(key): return False if not isConstant(value): return False return True elif constant_type","break else: return False return True if type(a) is xrange: return str(a) ==","\"\"\" Module for constants in Nuitka. This contains tools to compare, classify and","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False","True elif constant_type in (dict, list, set, slice, bytearray): return False elif constant_type","immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] =","def compareConstants(a, b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements #","long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys,","builtin_named_values_list: # TODO: Some others could also be usable and even interesting, but","import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin","in b: # Due to NaN values, we need to compare each set","in constant: if isMutable(value): return True return False elif constant is Ellipsis: return","e.g. str.join is # a candidate. return True else: return False def isMutable(constant):","is Ellipsis: return None elif constant in constant_builtin_types: return None elif constant_type is","a prime example of immutable, dictionaries are mutable. \"\"\" # Many cases and","None elif constant is Ellipsis: return None elif constant in constant_builtin_types: return None","NoneType = type(None) def compareConstants(a, b): # Many many cases to deal with,","# you may not use this file except in compliance with the License.","-nan is not nan, it has a # different sign for a start.","constant: if not isConstant(element_value): return False return True elif constant_type is slice: if","other set to be really sure. for eb in b: if compareConstants(ea, eb):","compareConstants(ea, eb): return False return True if type(a) is dict: if len(a) !=","agreed to in writing, software # distributed under the License is distributed on","start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b):","True if type(a) in (frozenset, set): if len(a) != len(b): return False for","unicode, long, # This has no name in Python, but the natural one","for key, value in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant):","the other set to be really sure. for eb in b: if compareConstants(ea,","b): if not compareConstants(ea, eb): return False return True if type(a) is dict:","not in b: # Due to NaN values, we need to compare each","key, value in iterItems(constant): if not isConstant(key): return False if not isConstant(value): return","iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list,","True elif constant in builtin_anon_value_list: return True elif constant_type is type: # Maybe","how we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type","(the \"License\"); # you may not use this file except in compliance with","is not type(b): return False # Now it's either not the same, or","is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \"\"\" Is a","use it for dicts and set keys. This is distinct from mutable, there","return True elif constant_type in (dict, list, set, slice, bytearray): return False elif","constant: if not isHashable(value): return False return True elif constant_type is frozenset: for","NotImplemented): return True elif constant in builtin_anon_value_list: return True elif constant_type is type:","constant_type is slice: return None else: assert False, constant_type def isIterableConstant(constant): return type(constant)","is type: # Maybe pre-build this as a set for quicker testing. return","in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool)","return False return True elif constant_type in (tuple, list): for element_value in constant:","time. \"\"\" # This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return","are a prime example of immutable, dictionaries are mutable. \"\"\" # Many cases","# TODO: Some others could also be usable and even interesting, but #","ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2,","b if type(a) in (tuple, list): if len(a) != len(b): return False for","the specific language governing permissions and # limitations under the License. # \"\"\"","many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison.","constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, range, bytes,","(bytes,) else: constant_builtin_types += ( unicode, long, # This has no name in","means a user of a reference to it, can modify it. Strings are","do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict:","None elif constant_type is slice: return None else: assert False, constant_type def isIterableConstant(constant):","# Unless required by applicable law or agreed to in writing, software #","str, unicode, complex, int, long, bool, float, NoneType, range, bytes, slice, xrange, type,","there is one types that is not mutable, and still not hashable: slices.","by applicable law or agreed to in writing, software # distributed under the","can modify it. Strings are a prime example of immutable, dictionaries are mutable.",") def isConstant(constant): # Too many cases and all return, that is how","return type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create it proper","if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is","even if the # constants are built in the same way, therefore above","for value in constant: if not isHashable(value): return False return True elif constant","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return True else: return","(dict, list, set): return constant elif constant_type is tuple: for value in constant:","constant in constant_builtin_types: return None elif constant_type is slice: return None else: assert","use == at the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and","frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def","return False return True elif constant_type is frozenset: for value in constant: if","dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant):","return, that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type =","return True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in","Module for constants in Nuitka. This contains tools to compare, classify and test","hashable: slices. \"\"\" # Many cases and all return, that is how we","for element_value in constant: if not isConstant(element_value): return False return True elif constant_type","# Too many cases and all return, that is how we do it","for dicts and set keys. This is distinct from mutable, there is one","a: if ea not in b: # Due to NaN values, we need","( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import (","file except in compliance with the License. # You may obtain a copy","compiler that is compatible and # integrates with CPython, but also works on","elif constant_type is frozenset: for value in constant: if isMutable(value): return True return","type, BuiltinFunctionType, ): return None elif constant_type in (dict, list, set): return constant","Determine if a value will be usable at compile time. \"\"\" # This","is a container that contains NaN or it # is a complex or","return False return True elif constant is Ellipsis: return True else: assert False,","len(b): return False for ea, eb in zip(a, b): if not compareConstants(ea, eb):","type(a) is not type(b): return False # Now it's either not the same,","list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant)","constant_type is tuple: for value in constant: if isMutable(value): return True return False","frozenset): result = 0 for element_value in constant: result += getConstantWeight(element_value) return result","dict: if len(a) != len(b): return False for ea1, ea2 in iterItems(a): for","isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in","License for the specific language governing permissions and # limitations under the License.","isConstant(value): return False return True elif constant_type in (tuple, list): for element_value in","1 def isCompileTimeConstantValue(value): \"\"\" Determine if a value will be usable at compile","in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True elif","isConstant(key): return False if not isConstant(value): return False return True elif constant_type in","to in writing, software # distributed under the License is distributed on an","and constant in builtin_named_values_list: # TODO: Some others could also be usable and","need to compare each set element with # all the other set to","if not isHashable(value): return False return True elif constant_type is frozenset: for value","implied. # See the License for the specific language governing permissions and #","can use == at the end. if type(a) is complex: return compareConstants(a.imag, b.imag)","# The NaN values of float and complex may let this fail, even","# is a complex or float that is NaN, the other cases can","\"License\"); # you may not use this file except in compliance with the","of float and complex may let this fail, even if the # constants","if constant_type is dict: for key, value in iterItems(constant): if not isConstant(key): return","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict, list, set, bytearray):","constant elif constant_type is tuple: for value in constant: res = getUnhashableConstant(value) if","into other node types, e.g. str.join is # a candidate. return True else:","here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode,","nan, it has a # different sign for a start. if math.copysign(1.0, a)","constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes,","NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict, list,","long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type","return True elif constant is Ellipsis: return True else: assert False, constant_type def","result = 0 for element_value in constant: result += getConstantWeight(element_value) return result else:","in (int, long, bool) def createConstantDict(keys, values): # Create it proper size immediately.","( int, str, float, list, tuple, set, dict, slice, complex, xrange, NoneType, )","one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many cases and all","float and complex may let this fail, even if the # constants are","built in the same way, therefore above checks. return a == b #","CPython, but also works on its own. # # Licensed under the Apache","is not mutable, and still not hashable: slices. \"\"\" # Many cases and","return False return True if type(a) is dict: if len(a) != len(b): return","if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return True if","if constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, xrange,","in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return True else:","Many cases and all return, that is how we do it here, #","is not None: return res return None elif constant is Ellipsis: return None","set keys. This is distinct from mutable, there is one types that is","isCompileTimeConstantValue(value): \"\"\" Determine if a value will be usable at compile time. \"\"\"","for key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result","be usable and even interesting, but # then probably should go into other","(tuple, list): for element_value in constant: if not isConstant(element_value): return False return True","elif constant_type is tuple: for value in constant: if isMutable(value): return True return","it # is a complex or float that is NaN, the other cases","or implied. # See the License for the specific language governing permissions and","if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return","if not isConstant(value): return False return True elif constant_type in (tuple, list): for","constant_builtin_types: return None elif constant_type is slice: return None else: assert False, constant_type","probably should go into other node types, e.g. str.join is # a candidate.","= 0 for key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value)","Apache License, Version 2.0 (the \"License\"); # you may not use this file","tools to compare, classify and test constants. \"\"\" import math from types import","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","in iterItems(constant): if not isConstant(key): return False if not isConstant(value): return False return","complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True","constant in builtin_named_values_list: # TODO: Some others could also be usable and even","== b # These built-in type references are kind of constant too. The","NaN values of float and complex may let this fail, even if the","keys. This is distinct from mutable, there is one types that is not","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from","fail, even if the # constants are built in the same way, therefore","( unicode, long, # This has no name in Python, but the natural","return False if math.isnan(a) and math.isnan(b): return True return a == b if","for comparison. if type(a) is not type(b): return False # Now it's either","C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many cases and all return, that","Too many cases and all return, that is how we do it here,","not the same, or it is a container that contains NaN or it","slice: return None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in (","else: assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list,","None) for key, value in zip(keys, values): constant_value[key] = value return constant_value def","others could also be usable and even interesting, but # then probably should","reference to it, can modify it. Strings are a prime example of immutable,","# integrates with CPython, but also works on its own. # # Licensed","same, or it is a container that contains NaN or it # is","bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict, list,","the # constants are built in the same way, therefore above checks. return",") elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others","assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple,","unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert","# See the License for the specific language governing permissions and # limitations","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is","or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list:","Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for","is tuple: for value in constant: if isMutable(value): return True return False elif","# different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return","Some others could also be usable and even interesting, but # then probably","elif constant_type in (dict, list, set, bytearray): return True elif constant_type is tuple:","it for dicts and set keys. This is distinct from mutable, there is","isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create it","constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] = value","language governing permissions and # limitations under the License. # \"\"\" Module for","builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many many","if constant_type is dict: result = 0 for key, value in iterItems(constant): result","be usable at compile time. \"\"\" # This needs to match code in","constant is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \"\"\" Is","!= len(b): return False for ea in a: if ea not in b:","not isConstant(constant.step) ): return False return True elif constant_type in ( str, unicode,","proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values):","xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types +=","False return True elif constant_type in (tuple, list): for element_value in constant: if","else: return False def isMutable(constant): \"\"\" Is a constant mutable That means a","not isHashable(value): return False return True elif constant_type is frozenset: for value in","long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type","reference to it, can use it for dicts and set keys. This is","type(a) is dict: if len(a) != len(b): return False for ea1, ea2 in","this fail, even if the # constants are built in the same way,","that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant)","with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is not","License. # \"\"\" Module for constants in Nuitka. This contains tools to compare,","unicode, complex, int, long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType,","Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value in","builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many","in (tuple, list, set, frozenset): result = 0 for element_value in constant: result","disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is not type(b): return","in constant: result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \"\"\"","float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type","at compile time. \"\"\" # This needs to match code in makeCompileTimeConstantReplacementNode if","the Apache License, Version 2.0 (the \"License\"); # you may not use this","you may not use this file except in compliance with the License. #","Python, but the natural one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too","or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif constant_type","type(b): return False # Now it's either not the same, or it is","for value in constant: if isMutable(value): return True return False elif constant_type is","if compareConstants(ea, eb): break else: return False return True if type(a) is xrange:","isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set, frozenset, dict, xrange,","def isCompileTimeConstantValue(value): \"\"\" Determine if a value will be usable at compile time.","BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could also be usable","math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version","that is NaN, the other cases can use == at the end. if","dicts and set keys. This is distinct from mutable, there is one types","return True elif constant_type in (tuple, list): for element_value in constant: if not","if math.isnan(a) and math.isnan(b): return True return a == b if type(a) in","( str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType,","# a candidate. return True else: return False def isMutable(constant): \"\"\" Is a","constant_type in (dict, list, set): return constant elif constant_type is tuple: for value","xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict, list, set,","None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode,","Check sign first, -0.0 is not 0.0, or -nan is not nan, it","constants in Nuitka. This contains tools to compare, classify and test constants. \"\"\"","Due to NaN values, we need to compare each set element with #","candidate. return True else: return False def isMutable(constant): \"\"\" Is a constant mutable","slices. \"\"\" # Many cases and all return, that is how we do","use this file except in compliance with the License. # You may obtain","def getUnhashableConstant(constant): # Too many cases and all return, that is how we","values): # Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for key,","return True elif constant in builtin_anon_value_list: return True elif constant_type is type: #","optimizing Python compiler that is compatible and # integrates with CPython, but also","in ( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, slice,","compareConstants(a, b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed","# # Part of \"Nuitka\", an optimizing Python compiler that is compatible and","for ea, eb in zip(a, b): if not compareConstants(ea, eb): return False return","eb in zip(a, b): if not compareConstants(ea, eb): return False return True if","is Ellipsis: return False elif constant is NotImplemented: return False else: assert False,","value in constant: if isMutable(value): return True return False elif constant_type is frozenset:","repr(constant) def isHashable(constant): \"\"\" Is a constant hashable That means a user of","constant is Ellipsis: return None elif constant in constant_builtin_types: return None elif constant_type","elif constant in constant_builtin_types: return None elif constant_type is slice: return None else:","not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True","references are kind of constant too. The list should be # complete. constant_builtin_types","= type(constant) if constant_type is dict: for key, value in iterItems(constant): if not","Python compiler that is compatible and # integrates with CPython, but also works","False elif constant is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant):","for eb in b: if compareConstants(ea, eb): break else: return False return True","is tuple: for value in constant: res = getUnhashableConstant(value) if res is not","xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType =","b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check sign first, -0.0","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","test constants. \"\"\" import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names","all return, that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type","still not hashable: slices. \"\"\" # Many cases and all return, that is","False for ea in a: if ea not in b: # Due to","True elif constant_type in (tuple, list): for element_value in constant: if not isConstant(element_value):","values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type","builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many many cases to","Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases","b: # Due to NaN values, we need to compare each set element","isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def","constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is","False return True elif constant is Ellipsis: return True else: assert False, constant_type","a user of a reference to it, can use it for dicts and","False, constant_type def getUnhashableConstant(constant): # Too many cases and all return, that is","cases and all return, that is how we do it here, # pylint:","also works on its own. # # Licensed under the Apache License, Version","ea not in b: # Due to NaN values, we need to compare","will be usable at compile time. \"\"\" # This needs to match code","2.0 (the \"License\"); # you may not use this file except in compliance","sure. for eb in b: if compareConstants(ea, eb): break else: return False return","bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in","or it is a container that contains NaN or it # is a","complex, int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ):","return str(a) == str(b) # The NaN values of float and complex may","if len(a) != len(b): return False for ea, eb in zip(a, b): if","return False for ea, eb in zip(a, b): if not compareConstants(ea, eb): return","# pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names,","for the specific language governing permissions and # limitations under the License. #","types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__","that contains NaN or it # is a complex or float that is","False if math.isnan(a) and math.isnan(b): return True return a == b if type(a)","a candidate. return True else: return False def isMutable(constant): \"\"\" Is a constant","is NaN, the other cases can use == at the end. if type(a)","False return True if type(a) in (frozenset, set): if len(a) != len(b): return","long, bool) def createConstantDict(keys, values): # Create it proper size immediately. constant_value =","iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break","Maybe pre-build this as a set for quicker testing. return ( constant.__name__ in","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the","not None: return res return None elif constant is Ellipsis: return None elif","compile time. \"\"\" # This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value):","NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in","if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long,","return constant elif constant_type is tuple: for value in constant: res = getUnhashableConstant(value)","a complex or float that is NaN, the other cases can use ==","float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True elif constant","natural one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many cases and","# # Unless required by applicable law or agreed to in writing, software","pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list,","): return True elif constant_type in (dict, list, set, slice, bytearray): return False","True elif constant_type is frozenset: for value in constant: if not isHashable(value): return","express or implied. # See the License for the specific language governing permissions","is dict: for key, value in iterItems(constant): if not isConstant(key): return False if","comparison. if type(a) is not type(b): return False # Now it's either not","complete. constant_builtin_types = ( int, str, float, list, tuple, set, dict, slice, complex,","has a # different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0,","False elif constant is Ellipsis: return False elif constant is NotImplemented: return False","complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None","and math.isnan(b): return True return a == b if type(a) in (tuple, list):","value in constant: if not isHashable(value): return False return True elif constant_type is","True elif constant_type is type: # Maybe pre-build this as a set for","def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant)","other cases can use == at the end. if type(a) is complex: return","either express or implied. # See the License for the specific language governing","bytes, set, frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType,","NaN or it # is a complex or float that is NaN, the","return False for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if","res is not None: return res return None elif constant is Ellipsis: return","if a value will be usable at compile time. \"\"\" # This needs","node types, e.g. str.join is # a candidate. return True else: return False","True if type(a) is dict: if len(a) != len(b): return False for ea1,","we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is","import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange,","should go into other node types, e.g. str.join is # a candidate. return","getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset): result = 0","different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False","(Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True elif constant_type","constants are built in the same way, therefore above checks. return a ==","all return, that is how we do it here, # pylint: disable=too-many-return-statements constant_type","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","This is distinct from mutable, there is one types that is not mutable,","# Check sign first, -0.0 is not 0.0, or -nan is not nan,","len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return","types that is not mutable, and still not hashable: slices. \"\"\" # Many","return result elif constant_type in (tuple, list, set, frozenset): result = 0 for","for value in constant: res = getUnhashableConstant(value) if res is not None: return","and all return, that is how we do it here, # pylint: disable=too-many-return-statements","bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant)","mailto:<EMAIL> # # Part of \"Nuitka\", an optimizing Python compiler that is compatible","elif constant_type in (dict, list, set, slice, bytearray): return False elif constant_type is","in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in","zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant) if","for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a)","not compareConstants(ea, eb): return False return True if type(a) is dict: if len(a)","elif constant is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \"\"\"","float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict,","getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float,","of a reference to it, can use it for dicts and set keys.","specific language governing permissions and # limitations under the License. # \"\"\" Module","True elif constant_type in ( str, unicode, complex, int, long, bool, float, NoneType,","not isConstant(element_value): return False return True elif constant_type is slice: if ( not","def isMutable(constant): \"\"\" Is a constant mutable That means a user of a","the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if","if not isConstant(key): return False if not isConstant(value): return False return True elif","bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict, list, set): return","result = 0 for key, value in iterItems(constant): result += getConstantWeight(key) result +=","is one types that is not mutable, and still not hashable: slices. \"\"\"","BuiltinFunctionType, ): return True elif constant_type in (dict, list, set, slice, bytearray): return","compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return True if type(a)","the License. # You may obtain a copy of the License at #","That means a user of a reference to it, can modify it. Strings","if len(a) != len(b): return False for ea1, ea2 in iterItems(a): for eb1,","isHashable(value): return False return True elif constant is Ellipsis: return True else: assert","is compatible and # integrates with CPython, but also works on its own.","cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if","ea, eb in zip(a, b): if not compareConstants(ea, eb): return False return True","of constant too. The list should be # complete. constant_builtin_types = ( int,","works on its own. # # Licensed under the Apache License, Version 2.0","# distributed under the License is distributed on an \"AS IS\" BASIS, #","0 for key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return","testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","element_value in constant: result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value):","either not the same, or it is a container that contains NaN or","math.isnan(a) and math.isnan(b): return True return a == b if type(a) in (tuple,","return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result =","or -nan is not nan, it has a # different sign for a","return True elif constant_type is type: # Maybe pre-build this as a set","elif constant_type is tuple: for value in constant: res = getUnhashableConstant(value) if res","if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False","isConstant(constant): # Too many cases and all return, that is how we do","it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str,","bytearray): return False elif constant_type is tuple: for value in constant: if not","slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return","False for ea, eb in zip(a, b): if not compareConstants(ea, eb): return False","and still not hashable: slices. \"\"\" # Many cases and all return, that","not hashable: slices. \"\"\" # Many cases and all return, that is how","constant is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): # Too","eb in b: if compareConstants(ea, eb): break else: return False return True if","match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return","== at the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real,","immutable, dictionaries are mutable. \"\"\" # Many cases and all return, that is","return True elif constant_type is tuple: for value in constant: if isMutable(value): return","# pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode, complex,","hashable That means a user of a reference to it, can use it","it, can use it for dicts and set keys. This is distinct from","constant_type in (dict, list, set, slice, bytearray): return False elif constant_type is tuple:","constant_type def getUnhashableConstant(constant): # Too many cases and all return, that is how","False, repr(constant) def isHashable(constant): \"\"\" Is a constant hashable That means a user","mutable That means a user of a reference to it, can modify it.","This has no name in Python, but the natural one in C-API. builtin_anon_names[\"instance\"],","constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step)","long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True","NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True elif constant_type is","eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return","slice, bytearray): return False elif constant_type is tuple: for value in constant: if","xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict, list, set):","0 for element_value in constant: result += getConstantWeight(element_value) return result else: return 1","getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if a value","is float: # Check sign first, -0.0 is not 0.0, or -nan is","return True return False elif constant_type is frozenset: for value in constant: if","elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return","(dict, list, set, slice, bytearray): return False elif constant_type is tuple: for value","we need to compare each set element with # all the other set","return True elif constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop)","in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many cases and all return,","= type(constant) if constant_type is dict: result = 0 for key, value in","list, set, slice, bytearray): return False elif constant_type is tuple: for value in","size immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key]","bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif","with the License. # You may obtain a copy of the License at","NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict, list,","and compareConstants(ea2, eb2): break else: return False return True if type(a) in (frozenset,","a container that contains NaN or it # is a complex or float","NaN values, we need to compare each set element with # all the","bytearray): return True elif constant_type is tuple: for value in constant: if isMutable(value):","value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type","constant_type in (dict, list, set, bytearray): return True elif constant_type is tuple: for","int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return","pre-build this as a set for quicker testing. return ( constant.__name__ in builtin_type_names","= dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] = value return","not mutable, and still not hashable: slices. \"\"\" # Many cases and all","== b if type(a) in (tuple, list): if len(a) != len(b): return False","all the other set to be really sure. for eb in b: if","\"\"\" Determine if a value will be usable at compile time. \"\"\" #","# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","constant: if isMutable(value): return True return False elif constant is Ellipsis: return False","cases can use == at the end. if type(a) is complex: return compareConstants(a.imag,","return True if type(a) in (frozenset, set): if len(a) != len(b): return False","that is how we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant)","\"\"\" # This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True","math.isnan(b): return True return a == b if type(a) in (tuple, list): if",">= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, # This","constant in builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build this","is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if","\"\"\" Is a constant mutable That means a user of a reference to","limitations under the License. # \"\"\" Module for constants in Nuitka. This contains","be really sure. for eb in b: if compareConstants(ea, eb): break else: return","eb): break else: return False return True if type(a) is xrange: return str(a)","set): if len(a) != len(b): return False for ea in a: if ea","if type(a) is float: # Check sign first, -0.0 is not 0.0, or","elif constant_type is slice: return None else: assert False, constant_type def isIterableConstant(constant): return","checks. return a == b # These built-in type references are kind of","constants. \"\"\" import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from","first, -0.0 is not 0.0, or -nan is not nan, it has a","return False elif constant_type in (dict, list, set, bytearray): return True elif constant_type","= type(constant) if constant_type in ( str, unicode, complex, int, long, bool, float,","False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set,","key, value in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type","return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check sign","law or agreed to in writing, software # distributed under the License is","This contains tools to compare, classify and test constants. \"\"\" import math from","sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if","the License for the specific language governing permissions and # limitations under the","in a: if ea not in b: # Due to NaN values, we","and all return, that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements","tuple: for value in constant: if not isHashable(value): return False return True elif","False return True elif constant_type is frozenset: for value in constant: if not","slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict, list, set,","are kind of constant too. The list should be # complete. constant_builtin_types =","in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return","assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool)","each set element with # all the other set to be really sure.","len(b): return False for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b):","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check","These built-in type references are kind of constant too. The list should be","disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key, value in iterItems(constant):","= 0 for element_value in constant: result += getConstantWeight(element_value) return result else: return","# This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif","set, slice, bytearray): return False elif constant_type is tuple: for value in constant:","# Supposed fast path for comparison. if type(a) is not type(b): return False","contains NaN or it # is a complex or float that is NaN,","let this fail, even if the # constants are built in the same","python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, #","an optimizing Python compiler that is compatible and # integrates with CPython, but","in (dict, list, set): return constant elif constant_type is tuple: for value in","value in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type =","and # limitations under the License. # \"\"\" Module for constants in Nuitka.","isHashable(constant): \"\"\" Is a constant hashable That means a user of a reference","way, therefore above checks. return a == b # These built-in type references","constant_type is frozenset: for value in constant: if isMutable(value): return True return False","getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset):","# Copyright 2020, <NAME>, mailto:<EMAIL> # # Part of \"Nuitka\", an optimizing Python","return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if a value will be usable at","float, list, tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version >=","Ellipsis: return None elif constant in constant_builtin_types: return None elif constant_type is slice:","if the # constants are built in the same way, therefore above checks.","set, frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented):","bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values): #","str, float, list, tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version","is xrange: return str(a) == str(b) # The NaN values of float and","== str(b) # The NaN values of float and complex may let this","(int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def","and even interesting, but # then probably should go into other node types,","result else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if a value will be","in compliance with the License. # You may obtain a copy of the","constant: result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","list, tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version >= 300:",") def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int,","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","classify and test constants. \"\"\" import math from types import BuiltinFunctionType from nuitka.Builtins","complex or float that is NaN, the other cases can use == at","range, bytes, set, frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis,","This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value)","a user of a reference to it, can modify it. Strings are a","return False elif constant is Ellipsis: return False elif constant is NotImplemented: return","assert False, constant_type def getUnhashableConstant(constant): # Too many cases and all return, that","+= getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple, list, set,","or not isConstant(constant.step) ): return False return True elif constant_type in ( str,","constant_type is dict: result = 0 for key, value in iterItems(constant): result +=","return True else: return False def isMutable(constant): \"\"\" Is a constant mutable That","See the License for the specific language governing permissions and # limitations under","a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True return","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","return True return False elif constant is Ellipsis: return False elif constant is","2020, <NAME>, mailto:<EMAIL> # # Part of \"Nuitka\", an optimizing Python compiler that","return type(constant) in ( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes,","else: return False return True if type(a) is xrange: return str(a) == str(b)","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","list, set, bytearray): return True elif constant_type is tuple: for value in constant:","isMutable(value): return True return False elif constant is Ellipsis: return False elif constant","it proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys,","elif constant in builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a)","if not compareConstants(ea, eb): return False return True if type(a) is dict: if","xrange: return str(a) == str(b) # The NaN values of float and complex","builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many cases and all return, that is","frozenset: for value in constant: if isMutable(value): return True return False elif constant","return False def isMutable(constant): \"\"\" Is a constant mutable That means a user","a == b if type(a) in (tuple, list): if len(a) != len(b): return","for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1)","to compare each set element with # all the other set to be","can use it for dicts and set keys. This is distinct from mutable,","result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple, list,","in constant: res = getUnhashableConstant(value) if res is not None: return res return","True elif constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or","should be # complete. constant_builtin_types = ( int, str, float, list, tuple, set,","to NaN values, we need to compare each set element with # all","code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return True","not isConstant(value): return False return True elif constant_type in (tuple, list): for element_value","eb2): break else: return False return True if type(a) in (frozenset, set): if","iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple,","complex may let this fail, even if the # constants are built in","kind of constant too. The list should be # complete. constant_builtin_types = (","even interesting, but # then probably should go into other node types, e.g.","it, can modify it. Strings are a prime example of immutable, dictionaries are","is tuple: for value in constant: if not isHashable(value): return False return True","eb): return False return True if type(a) is dict: if len(a) != len(b):","go into other node types, e.g. str.join is # a candidate. return True","value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result","list, set): return constant elif constant_type is tuple: for value in constant: res",".__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins","isConstant(element_value): return False return True elif constant_type is slice: if ( not isConstant(constant.start)","disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode, complex, int, long,","if len(a) != len(b): return False for ea in a: if ea not","no name in Python, but the natural one in C-API. builtin_anon_names[\"instance\"], ) def","in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO:","unicode, complex, int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray,","compatible and # integrates with CPython, but also works on its own. #","return False elif constant_type is frozenset: for value in constant: if isMutable(value): return","return res return None elif constant is Ellipsis: return None elif constant in","Version 2.0 (the \"License\"); # you may not use this file except in","eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False","and compareConstants(a.real, b.real) if type(a) is float: # Check sign first, -0.0 is","except in compliance with the License. # You may obtain a copy of","to be really sure. for eb in b: if compareConstants(ea, eb): break else:","is distinct from mutable, there is one types that is not mutable, and","if not isConstant(element_value): return False return True elif constant_type is slice: if (","type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float:","dictionaries are mutable. \"\"\" # Many cases and all return, that is how","or it # is a complex or float that is NaN, the other","type(a) in (tuple, list): if len(a) != len(b): return False for ea, eb","eb1) and compareConstants(ea2, eb2): break else: return False return True if type(a) in","return False if not isConstant(value): return False return True elif constant_type in (tuple,","in Python, but the natural one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): #","prime example of immutable, dictionaries are mutable. \"\"\" # Many cases and all","# pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key, value","if isMutable(value): return True return False elif constant_type is frozenset: for value in","set element with # all the other set to be really sure. for","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","may not use this file except in compliance with the License. # You","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","return a == b if type(a) in (tuple, list): if len(a) != len(b):","type(a) in (frozenset, set): if len(a) != len(b): return False for ea in","is not 0.0, or -nan is not nan, it has a # different","to compare, classify and test constants. \"\"\" import math from types import BuiltinFunctionType","False return True if type(a) is xrange: return str(a) == str(b) # The","tuple: for value in constant: res = getUnhashableConstant(value) if res is not None:","Copyright 2020, <NAME>, mailto:<EMAIL> # # Part of \"Nuitka\", an optimizing Python compiler","def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set, frozenset, dict,","result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \"\"\" Determine if","contains tools to compare, classify and test constants. \"\"\" import math from types","( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType","b: if compareConstants(ea, eb): break else: return False return True if type(a) is","(int, long, bool) def createConstantDict(keys, values): # Create it proper size immediately. constant_value","Ellipsis: return False elif constant is NotImplemented: return False else: assert False, repr(constant)","tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return","a == b # These built-in type references are kind of constant too.","else: return False return True if type(a) in (frozenset, set): if len(a) !=","are built in the same way, therefore above checks. return a == b","def createConstantDict(keys, values): # Create it proper size immediately. constant_value = dict.fromkeys(keys, None)","# Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value","# limitations under the License. # \"\"\" Module for constants in Nuitka. This","return False return True elif constant_type in ( str, unicode, complex, int, long,","isConstant(constant.step) ): return False return True elif constant_type in ( str, unicode, complex,","): return True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant","False return True elif constant_type is slice: if ( not isConstant(constant.start) or not","is dict: result = 0 for key, value in iterItems(constant): result += getConstantWeight(key)","constant_type in (tuple, list): for element_value in constant: if not isConstant(element_value): return False","type(a) is float: # Check sign first, -0.0 is not 0.0, or -nan","compareConstants(ea2, eb2): break else: return False return True if type(a) in (frozenset, set):","pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode, complex, int,","\"\"\" Is a constant hashable That means a user of a reference to","getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result = 0 for key,",".Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a,","set): return constant elif constant_type is tuple: for value in constant: res =","if ea not in b: # Due to NaN values, we need to","str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant):","the other cases can use == at the end. if type(a) is complex:","b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast","False elif constant_type is frozenset: for value in constant: if isMutable(value): return True","The list should be # complete. constant_builtin_types = ( int, str, float, list,","constant is Ellipsis: return False elif constant is NotImplemented: return False else: assert","bool) def createConstantDict(keys, values): # Create it proper size immediately. constant_value = dict.fromkeys(keys,","!= math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True return a","constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and","+= getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset): result =","from mutable, there is one types that is not mutable, and still not","dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] = value return constant_value","fast path for comparison. if type(a) is not type(b): return False # Now","not nan, it has a # different sign for a start. if math.copysign(1.0,","import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import","return a == b # These built-in type references are kind of constant","elif constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not","True else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases and all","zip(a, b): if not compareConstants(ea, eb): return False return True if type(a) is","None: return res return None elif constant is Ellipsis: return None elif constant","modify it. Strings are a prime example of immutable, dictionaries are mutable. \"\"\"","element with # all the other set to be really sure. for eb","dict, slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,)","under the License. # \"\"\" Module for constants in Nuitka. This contains tools","as a set for quicker testing. return ( constant.__name__ in builtin_type_names or constant","elif constant is Ellipsis: return None elif constant in constant_builtin_types: return None elif","bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in","str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ):","pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is not type(b):","in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant)","type references are kind of constant too. The list should be # complete.","constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could also","True return False elif constant is Ellipsis: return False elif constant is NotImplemented:","many cases and all return, that is how we do it here, #","also be usable and even interesting, but # then probably should go into","python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, )","in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2):","interesting, but # then probably should go into other node types, e.g. str.join","return True if type(a) is xrange: return str(a) == str(b) # The NaN","is frozenset: for value in constant: if isMutable(value): return True return False elif","elif constant_type is tuple: for value in constant: if not isHashable(value): return False","That means a user of a reference to it, can use it for","def isConstant(constant): # Too many cases and all return, that is how we","return None elif constant in constant_builtin_types: return None elif constant_type is slice: return","constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","types, e.g. str.join is # a candidate. return True else: return False def","assert False, repr(constant) def isHashable(constant): \"\"\" Is a constant hashable That means a","NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \"\"\" Is a constant","(tuple, list): if len(a) != len(b): return False for ea, eb in zip(a,","constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, # This has no","but the natural one in C-API. builtin_anon_names[\"instance\"], ) def isConstant(constant): # Too many","elif constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, range,","elif constant is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): #","# constants are built in the same way, therefore above checks. return a","result += getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset): result","bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict, list, set, slice,","createConstantDict(keys, values): # Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for","dict: result = 0 for key, value in iterItems(constant): result += getConstantWeight(key) result","else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases and all return,"],"string":"[\n \"in constant: if not isHashable(value): return False return True elif constant is Ellipsis:\",\n \"return None elif constant_type is slice: return None else: assert False, constant_type def\",\n \"and # integrates with CPython, but also works on its own. # #\",\n \"in ( str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type,\",\n \"# Due to NaN values, we need to compare each set element with\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"getUnhashableConstant(value) if res is not None: return res return None elif constant is\",\n \"pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key, value in\",\n \"one types that is not mutable, and still not hashable: slices. \\\"\\\"\\\" #\",\n \"type, BuiltinFunctionType, ): return True elif constant_type in (dict, list, set, slice, bytearray):\",\n \"a constant hashable That means a user of a reference to it, can\",\n \"that is compatible and # integrates with CPython, but also works on its\",\n \"set, bytearray): return True elif constant_type is tuple: for value in constant: if\",\n \"None elif constant in constant_builtin_types: return None elif constant_type is slice: return None\",\n \"integrates with CPython, but also works on its own. # # Licensed under\",\n \"constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result = 0\",\n \"NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True elif constant in\",\n \"BuiltinFunctionType, ): return False elif constant_type in (dict, list, set, bytearray): return True\",\n \"import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import\",\n \"a value will be usable at compile time. \\\"\\\"\\\" # This needs to\",\n \"same way, therefore above checks. return a == b # These built-in type\",\n \"constant_builtin_types += ( unicode, long, # This has no name in Python, but\",\n \"element_value in constant: if not isConstant(element_value): return False return True elif constant_type is\",\n \"the natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many cases\",\n \"elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could\",\n \"in (dict, list, set, bytearray): return True elif constant_type is tuple: for value\",\n \"usable at compile time. \\\"\\\"\\\" # This needs to match code in makeCompileTimeConstantReplacementNode\",\n \"len(b): return False for ea in a: if ea not in b: #\",\n \"set, dict, slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types +=\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"Is a constant mutable That means a user of a reference to it,\",\n \"builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many many cases\",\n \"( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, slice, xrange,\",\n \"return False return True if type(a) in (frozenset, set): if len(a) != len(b):\",\n \"constant_type is tuple: for value in constant: res = getUnhashableConstant(value) if res is\",\n \"bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif\",\n \"mutable. \\\"\\\"\\\" # Many cases and all return, that is how we do\",\n \"in zip(a, b): if not compareConstants(ea, eb): return False return True if type(a)\",\n \"therefore above checks. return a == b # These built-in type references are\",\n \"for value in constant: if isMutable(value): return True return False elif constant is\",\n \"return False for ea in a: if ea not in b: # Due\",\n \"# complete. constant_builtin_types = ( int, str, float, list, tuple, set, dict, slice,\",\n \"for quicker testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list )\",\n \"set, frozenset): result = 0 for element_value in constant: result += getConstantWeight(element_value) return\",\n \"and test constants. \\\"\\\"\\\" import math from types import BuiltinFunctionType from nuitka.Builtins import\",\n \"300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, # This has\",\n \"): return False elif constant_type in (dict, list, set, bytearray): return True elif\",\n \"import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import\",\n \"in builtin_named_values_list: # TODO: Some others could also be usable and even interesting,\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType\",\n \"# all the other set to be really sure. for eb in b:\",\n \"in (tuple, list): for element_value in constant: if not isConstant(element_value): return False return\",\n \"Supposed fast path for comparison. if type(a) is not type(b): return False #\",\n \"is slice: return None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in\",\n \"type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create it proper size\",\n \") if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode,\",\n \"\\\"\\\"\\\" # Many cases and all return, that is how we do it\",\n \"long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, )\",\n \"builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build this as a\",\n \"None elif constant_type in (dict, list, set): return constant elif constant_type is tuple:\",\n \"path for comparison. if type(a) is not type(b): return False # Now it's\",\n \"in the same way, therefore above checks. return a == b # These\",\n \"False elif constant_type is tuple: for value in constant: if not isHashable(value): return\",\n \"it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for\",\n \"math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True\",\n \"False if not isConstant(value): return False return True elif constant_type in (tuple, list):\",\n \"xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented): return True\",\n \"return False else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant hashable\",\n \"deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is\",\n \"in ( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, set,\",\n \"key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif\",\n \"values, we need to compare each set element with # all the other\",\n \"constant_type in (tuple, list, set, frozenset): result = 0 for element_value in constant:\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"False def isMutable(constant): \\\"\\\"\\\" Is a constant mutable That means a user of\",\n \"range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict,\",\n \"isHashable(value): return False return True elif constant_type is frozenset: for value in constant:\",\n \"mutable, there is one types that is not mutable, and still not hashable:\",\n \"True elif constant is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant):\",\n \"True elif constant_type is tuple: for value in constant: if isMutable(value): return True\",\n \"float: # Check sign first, -0.0 is not 0.0, or -nan is not\",\n \"for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else:\",\n \"return False elif constant is NotImplemented: return False else: assert False, repr(constant) def\",\n \"distinct from mutable, there is one types that is not mutable, and still\",\n \"we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in\",\n \"other node types, e.g. str.join is # a candidate. return True else: return\",\n \"compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check sign first,\",\n \"in (tuple, list): if len(a) != len(b): return False for ea, eb in\",\n \"return False # Now it's either not the same, or it is a\",\n \"complex, int, long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ):\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"type(constant) if constant_type is dict: for key, value in iterItems(constant): if not isConstant(key):\",\n \"constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: #\",\n \"tuple: for value in constant: if isMutable(value): return True return False elif constant_type\",\n \"float that is NaN, the other cases can use == at the end.\",\n \"with # all the other set to be really sure. for eb in\",\n \"( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, set, frozenset,\",\n \"constant: if isMutable(value): return True return False elif constant_type is frozenset: for value\",\n \"quicker testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif\",\n \"mutable, and still not hashable: slices. \\\"\\\"\\\" # Many cases and all return,\",\n \"is frozenset: for value in constant: if not isHashable(value): return False return True\",\n \"permissions and # limitations under the License. # \\\"\\\"\\\" Module for constants in\",\n \"too. The list should be # complete. constant_builtin_types = ( int, str, float,\",\n \"False elif constant_type in (dict, list, set, bytearray): return True elif constant_type is\",\n \"list should be # complete. constant_builtin_types = ( int, str, float, list, tuple,\",\n \"a reference to it, can modify it. Strings are a prime example of\",\n \"( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"is how we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if\",\n \"b.real) if type(a) is float: # Check sign first, -0.0 is not 0.0,\",\n \"type, BuiltinFunctionType, ): return False elif constant_type in (dict, list, set, bytearray): return\",\n \"len(a) != len(b): return False for ea, eb in zip(a, b): if not\",\n \"True if type(a) is xrange: return str(a) == str(b) # The NaN values\",\n \"slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else:\",\n \"constant_type is tuple: for value in constant: if not isHashable(value): return False return\",\n \"in (dict, list, set, slice, bytearray): return False elif constant_type is tuple: for\",\n \"value in iterItems(constant): if not isConstant(key): return False if not isConstant(value): return False\",\n \"it's either not the same, or it is a container that contains NaN\",\n \"NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += (\",\n \"in Nuitka. This contains tools to compare, classify and test constants. \\\"\\\"\\\" import\",\n \"False for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1,\",\n \"container that contains NaN or it # is a complex or float that\",\n \"in constant: if not isConstant(element_value): return False return True elif constant_type is slice:\",\n \"return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int,\",\n \"# Part of \\\"Nuitka\\\", an optimizing Python compiler that is compatible and #\",\n \"Now it's either not the same, or it is a container that contains\",\n \"type(constant) if constant_type in ( str, unicode, complex, int, long, bool, float, NoneType,\",\n \"return result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will\",\n \"if isConstant(value): return True elif type(value) is type: return True else: return False\",\n \"the same, or it is a container that contains NaN or it #\",\n \"dict: for key, value in iterItems(constant): if not isConstant(key): return False if not\",\n \"isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif constant_type in (\",\n \"frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented): return\",\n \"getUnhashableConstant(constant): # Too many cases and all return, that is how we do\",\n \"do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in (\",\n \"return None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str,\",\n \"may let this fail, even if the # constants are built in the\",\n \"\\\"\\\"\\\" import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions\",\n \"\\\"Nuitka\\\", an optimizing Python compiler that is compatible and # integrates with CPython,\",\n \"complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types\",\n \"constant_type = type(constant) if constant_type is dict: result = 0 for key, value\",\n \"+= getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a\",\n \"constant_type = type(constant) if constant_type is dict: for key, value in iterItems(constant): if\",\n \"NaN, the other cases can use == at the end. if type(a) is\",\n \"if type(a) is xrange: return str(a) == str(b) # The NaN values of\",\n \"frozenset: for value in constant: if not isHashable(value): return False return True elif\",\n \"at the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real)\",\n \"True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list:\",\n \"if isMutable(value): return True return False elif constant is Ellipsis: return False elif\",\n \"type(None) def compareConstants(a, b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements\",\n \"it. Strings are a prime example of immutable, dictionaries are mutable. \\\"\\\"\\\" #\",\n \"Strings are a prime example of immutable, dictionaries are mutable. \\\"\\\"\\\" # Many\",\n \"True return False elif constant_type is frozenset: for value in constant: if isMutable(value):\",\n \"return None elif constant_type in (dict, list, set): return constant elif constant_type is\",\n \"list, set, frozenset): result = 0 for element_value in constant: result += getConstantWeight(element_value)\",\n \"not 0.0, or -nan is not nan, it has a # different sign\",\n \"usable and even interesting, but # then probably should go into other node\",\n \"to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type:\",\n \"to it, can modify it. Strings are a prime example of immutable, dictionaries\",\n \"return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant):\",\n \"and set keys. This is distinct from mutable, there is one types that\",\n \"BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import (\",\n \"b): return False if math.isnan(a) and math.isnan(b): return True return a == b\",\n \"governing permissions and # limitations under the License. # \\\"\\\"\\\" Module for constants\",\n \"ea in a: if ea not in b: # Due to NaN values,\",\n \"+= (bytes,) else: constant_builtin_types += ( unicode, long, # This has no name\",\n \"The NaN values of float and complex may let this fail, even if\",\n \"a set for quicker testing. return ( constant.__name__ in builtin_type_names or constant in\",\n \"values of float and complex may let this fail, even if the #\",\n \"in constant_builtin_types: return None elif constant_type is slice: return None else: assert False,\",\n \"Is a constant hashable That means a user of a reference to it,\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"return None elif constant is Ellipsis: return None elif constant in constant_builtin_types: return\",\n \"if res is not None: return res return None elif constant is Ellipsis:\",\n \"the License. # \\\"\\\"\\\" Module for constants in Nuitka. This contains tools to\",\n \"elif constant is Ellipsis: return False elif constant is NotImplemented: return False else:\",\n \") NoneType = type(None) def compareConstants(a, b): # Many many cases to deal\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"value in constant: if isMutable(value): return True return False elif constant is Ellipsis:\",\n \"how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type\",\n \"unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return\",\n \"def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result = 0 for\",\n \"0.0, or -nan is not nan, it has a # different sign for\",\n \"is not nan, it has a # different sign for a start. if\",\n \"with CPython, but also works on its own. # # Licensed under the\",\n \"isMutable(value): return True return False elif constant_type is frozenset: for value in constant:\",\n \"iterItems(constant): if not isConstant(key): return False if not isConstant(value): return False return True\",\n \"= ( int, str, float, list, tuple, set, dict, slice, complex, xrange, NoneType,\",\n \"bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in\",\n \"needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is\",\n \"True else: return False def isMutable(constant): \\\"\\\"\\\" Is a constant mutable That means\",\n \"int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif\",\n \"builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some\",\n \"name in Python, but the natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant):\",\n \"False else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant hashable That\",\n \"): return None elif constant_type in (dict, list, set): return constant elif constant_type\",\n \"= value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict:\",\n \"own. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return True\",\n \"break else: return False return True if type(a) in (frozenset, set): if len(a)\",\n \"for key, value in iterItems(constant): if not isConstant(key): return False if not isConstant(value):\",\n \"( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return\",\n \"int, long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return\",\n \"value will be usable at compile time. \\\"\\\"\\\" # This needs to match\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"a constant mutable That means a user of a reference to it, can\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): # Too many\",\n \"is dict: if len(a) != len(b): return False for ea1, ea2 in iterItems(a):\",\n \"False return True elif constant_type in ( str, unicode, complex, int, long, bool,\",\n \"<NAME>, mailto:<EMAIL> # # Part of \\\"Nuitka\\\", an optimizing Python compiler that is\",\n \"# Now it's either not the same, or it is a container that\",\n \"if type(a) is dict: if len(a) != len(b): return False for ea1, ea2\",\n \"# These built-in type references are kind of constant too. The list should\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"in (frozenset, set): if len(a) != len(b): return False for ea in a:\",\n \"int, str, float, list, tuple, set, dict, slice, complex, xrange, NoneType, ) if\",\n \"nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( # pylint:\",\n \"return False return True if type(a) is xrange: return str(a) == str(b) #\",\n \"is a complex or float that is NaN, the other cases can use\",\n \"but also works on its own. # # Licensed under the Apache License,\",\n \"len(a) != len(b): return False for ea1, ea2 in iterItems(a): for eb1, eb2\",\n \"builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems,\",\n \"for constants in Nuitka. This contains tools to compare, classify and test constants.\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and\",\n \"return, that is how we do it here, # pylint: disable=too-many-return-statements constant_type =\",\n \"if not isHashable(value): return False return True elif constant is Ellipsis: return True\",\n \"return False elif constant_type is tuple: for value in constant: if not isHashable(value):\",\n \"True return a == b if type(a) in (tuple, list): if len(a) !=\",\n \"+= ( unicode, long, # This has no name in Python, but the\",\n \"else: constant_builtin_types += ( unicode, long, # This has no name in Python,\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"from nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long,\",\n \"value in constant: res = getUnhashableConstant(value) if res is not None: return res\",\n \"it has a # different sign for a start. if math.copysign(1.0, a) !=\",\n \"float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict,\",\n \"(tuple, list, set, frozenset): result = 0 for element_value in constant: result +=\",\n \"return True elif constant_type in ( str, unicode, complex, int, long, bool, float,\",\n \"nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode,\",\n \"and complex may let this fail, even if the # constants are built\",\n \"constant_type is dict: for key, value in iterItems(constant): if not isConstant(key): return False\",\n \"else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will be usable\",\n \"isMutable(constant): \\\"\\\"\\\" Is a constant mutable That means a user of a reference\",\n \"= getUnhashableConstant(value) if res is not None: return res return None elif constant\",\n \"False return True if type(a) is dict: if len(a) != len(b): return False\",\n \"compareConstants(ea, eb): break else: return False return True if type(a) is xrange: return\",\n \"built-in type references are kind of constant too. The list should be #\",\n \"res return None elif constant is Ellipsis: return None elif constant in constant_builtin_types:\",\n \"from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from\",\n \"is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: #\",\n \"could also be usable and even interesting, but # then probably should go\",\n \"# then probably should go into other node types, e.g. str.join is #\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"set to be really sure. for eb in b: if compareConstants(ea, eb): break\",\n \"constant hashable That means a user of a reference to it, can use\",\n \"type(a) is xrange: return str(a) == str(b) # The NaN values of float\",\n \"import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b):\",\n \"value in constant: if not isHashable(value): return False return True elif constant is\",\n \"BuiltinFunctionType, ): return None elif constant_type in (dict, list, set): return constant elif\",\n \"res = getUnhashableConstant(value) if res is not None: return res return None elif\",\n \"for element_value in constant: result += getConstantWeight(element_value) return result else: return 1 def\",\n \"def isHashable(constant): \\\"\\\"\\\" Is a constant hashable That means a user of a\",\n \"in ( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, )\",\n \"type(constant) if constant_type is dict: result = 0 for key, value in iterItems(constant):\",\n \"type(constant) in ( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray,\",\n \"# This has no name in Python, but the natural one in C-API.\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"str, unicode, complex, int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange,\",\n \"in b: if compareConstants(ea, eb): break else: return False return True if type(a)\",\n \"bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True elif\",\n \"it is a container that contains NaN or it # is a complex\",\n \"list): if len(a) != len(b): return False for ea, eb in zip(a, b):\",\n \"long, # This has no name in Python, but the natural one in\",\n \"str(b) # The NaN values of float and complex may let this fail,\",\n \"str(a) == str(b) # The NaN values of float and complex may let\",\n \"in builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build this as\",\n \"compare each set element with # all the other set to be really\",\n \"def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long,\",\n \"return False return True elif constant_type is slice: if ( not isConstant(constant.start) or\",\n \"isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif\",\n \"not type(b): return False # Now it's either not the same, or it\",\n \"constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set, frozenset,\",\n \"builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in\",\n \"a # different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b):\",\n \"(frozenset, set): if len(a) != len(b): return False for ea in a: if\",\n \"len(a) != len(b): return False for ea in a: if ea not in\",\n \"constant mutable That means a user of a reference to it, can modify\",\n \"constant_type is frozenset: for value in constant: if not isHashable(value): return False return\",\n \"of immutable, dictionaries are mutable. \\\"\\\"\\\" # Many cases and all return, that\",\n \"elif constant_type in (tuple, list): for element_value in constant: if not isConstant(element_value): return\",\n \"Nuitka. This contains tools to compare, classify and test constants. \\\"\\\"\\\" import math\",\n \"is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could also be\",\n \"in constant: if isMutable(value): return True return False elif constant_type is frozenset: for\",\n \"from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( #\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"False # Now it's either not the same, or it is a container\",\n \"constant: if not isHashable(value): return False return True elif constant is Ellipsis: return\",\n \") from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None)\",\n \"# Many cases and all return, that is how we do it here,\",\n \"if type(a) is not type(b): return False # Now it's either not the\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"compare, classify and test constants. \\\"\\\"\\\" import math from types import BuiltinFunctionType from\",\n \"constant: res = getUnhashableConstant(value) if res is not None: return res return None\",\n \"list): for element_value in constant: if not isConstant(element_value): return False return True elif\",\n \"that is not mutable, and still not hashable: slices. \\\"\\\"\\\" # Many cases\",\n \"License. # You may obtain a copy of the License at # #\",\n \"( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): #\",\n \"then probably should go into other node types, e.g. str.join is # a\",\n \"set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant)\",\n \"# Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path\",\n \"a reference to it, can use it for dicts and set keys. This\",\n \"return True if type(a) is dict: if len(a) != len(b): return False for\",\n \"elif constant_type is frozenset: for value in constant: if not isHashable(value): return False\",\n \"type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long,\",\n \"has no name in Python, but the natural one in C-API. builtin_anon_names[\\\"instance\\\"], )\",\n \"if type(a) in (frozenset, set): if len(a) != len(b): return False for ea\",\n \"but # then probably should go into other node types, e.g. str.join is\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"compareConstants(a.real, b.real) if type(a) is float: # Check sign first, -0.0 is not\",\n \"(dict, list, set, bytearray): return True elif constant_type is tuple: for value in\",\n \"tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types\",\n \"not isHashable(value): return False return True elif constant is Ellipsis: return True else:\",\n \"user of a reference to it, can modify it. Strings are a prime\",\n \"float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values):\",\n \"its own. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"return True else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases and\",\n \"user of a reference to it, can use it for dicts and set\",\n \"example of immutable, dictionaries are mutable. \\\"\\\"\\\" # Many cases and all return,\",\n \"elif constant_type in (dict, list, set): return constant elif constant_type is tuple: for\",\n \"are mutable. \\\"\\\"\\\" # Many cases and all return, that is how we\",\n \"!= len(b): return False for ea, eb in zip(a, b): if not compareConstants(ea,\",\n \"constant_type = type(constant) if constant_type in ( str, unicode, complex, int, long, bool,\",\n \"TODO: Some others could also be usable and even interesting, but # then\",\n \"b # These built-in type references are kind of constant too. The list\",\n \"this as a set for quicker testing. return ( constant.__name__ in builtin_type_names or\",\n \"if type(a) in (tuple, list): if len(a) != len(b): return False for ea,\",\n \"or float that is NaN, the other cases can use == at the\",\n \"here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key,\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"-0.0 is not 0.0, or -nan is not nan, it has a #\",\n \"sign first, -0.0 is not 0.0, or -nan is not nan, it has\",\n \"of \\\"Nuitka\\\", an optimizing Python compiler that is compatible and # integrates with\",\n \"elif constant_type is type: # Maybe pre-build this as a set for quicker\",\n \"constant too. The list should be # complete. constant_builtin_types = ( int, str,\",\n \"type: # Maybe pre-build this as a set for quicker testing. return (\",\n \"in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant\",\n \"a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and\",\n \"xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return\",\n \"): return False return True elif constant_type in ( str, unicode, complex, int,\",\n \"in constant: if not isHashable(value): return False return True elif constant_type is frozenset:\",\n \"not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif constant_type in\",\n \"Part of \\\"Nuitka\\\", an optimizing Python compiler that is compatible and # integrates\",\n \"# \\\"\\\"\\\" Module for constants in Nuitka. This contains tools to compare, classify\",\n \"is # a candidate. return True else: return False def isMutable(constant): \\\"\\\"\\\" Is\",\n \"set for quicker testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list\",\n \"means a user of a reference to it, can use it for dicts\",\n \"!= len(b): return False for ea1, ea2 in iterItems(a): for eb1, eb2 in\",\n \"= type(None) def compareConstants(a, b): # Many many cases to deal with, pylint:\",\n \"from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def\",\n \"# Maybe pre-build this as a set for quicker testing. return ( constant.__name__\",\n \"is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ):\",\n \"constant_type is type: # Maybe pre-build this as a set for quicker testing.\",\n \"for ea in a: if ea not in b: # Due to NaN\",\n \"str.join is # a candidate. return True else: return False def isMutable(constant): \\\"\\\"\\\"\",\n \"disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list,\",\n \"not use this file except in compliance with the License. # You may\",\n \"be # complete. constant_builtin_types = ( int, str, float, list, tuple, set, dict,\",\n \"if constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, range,\",\n \"else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant hashable That means\",\n \"return True return a == b if type(a) in (tuple, list): if len(a)\",\n \"for value in constant: if not isHashable(value): return False return True elif constant_type\",\n \"of a reference to it, can modify it. Strings are a prime example\",\n \"math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True return a ==\",\n \"really sure. for eb in b: if compareConstants(ea, eb): break else: return False\",\n \"elif constant_type in (tuple, list, set, frozenset): result = 0 for element_value in\",\n \"return True elif constant_type is frozenset: for value in constant: if not isHashable(value):\",\n \"int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif\",\n \"result elif constant_type in (tuple, list, set, frozenset): result = 0 for element_value\",\n \"the same way, therefore above checks. return a == b # These built-in\",\n \"to it, can use it for dicts and set keys. This is distinct\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"constant_builtin_types = ( int, str, float, list, tuple, set, dict, slice, complex, xrange,\",\n \"def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create\",\n \"above checks. return a == b # These built-in type references are kind\",\n \"on its own. # # Licensed under the Apache License, Version 2.0 (the\",\n \"end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a)\",\n \"not isConstant(key): return False if not isConstant(value): return False return True elif constant_type\",\n \"break else: return False return True if type(a) is xrange: return str(a) ==\",\n \"\\\"\\\"\\\" Module for constants in Nuitka. This contains tools to compare, classify and\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False\",\n \"True elif constant_type in (dict, list, set, slice, bytearray): return False elif constant_type\",\n \"immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] =\",\n \"def compareConstants(a, b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements #\",\n \"long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys,\",\n \"builtin_named_values_list: # TODO: Some others could also be usable and even interesting, but\",\n \"import builtin_type_names from nuitka.PythonVersions import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin\",\n \"in b: # Due to NaN values, we need to compare each set\",\n \"in constant: if isMutable(value): return True return False elif constant is Ellipsis: return\",\n \"e.g. str.join is # a candidate. return True else: return False def isMutable(constant):\",\n \"is Ellipsis: return None elif constant in constant_builtin_types: return None elif constant_type is\",\n \"a prime example of immutable, dictionaries are mutable. \\\"\\\"\\\" # Many cases and\",\n \"None elif constant is Ellipsis: return None elif constant in constant_builtin_types: return None\",\n \"NoneType = type(None) def compareConstants(a, b): # Many many cases to deal with,\",\n \"# you may not use this file except in compliance with the License.\",\n \"-nan is not nan, it has a # different sign for a start.\",\n \"constant: if not isConstant(element_value): return False return True elif constant_type is slice: if\",\n \"other set to be really sure. for eb in b: if compareConstants(ea, eb):\",\n \"compareConstants(ea, eb): return False return True if type(a) is dict: if len(a) !=\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b):\",\n \"True if type(a) in (frozenset, set): if len(a) != len(b): return False for\",\n \"unicode, long, # This has no name in Python, but the natural one\",\n \"for key, value in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant):\",\n \"the other set to be really sure. for eb in b: if compareConstants(ea,\",\n \"b): if not compareConstants(ea, eb): return False return True if type(a) is dict:\",\n \"not in b: # Due to NaN values, we need to compare each\",\n \"key, value in iterItems(constant): if not isConstant(key): return False if not isConstant(value): return\",\n \"iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list,\",\n \"True elif constant in builtin_anon_value_list: return True elif constant_type is type: # Maybe\",\n \"how we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"is not type(b): return False # Now it's either not the same, or\",\n \"is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a\",\n \"use it for dicts and set keys. This is distinct from mutable, there\",\n \"return True elif constant_type in (dict, list, set, slice, bytearray): return False elif\",\n \"constant: if not isHashable(value): return False return True elif constant_type is frozenset: for\",\n \"NotImplemented): return True elif constant in builtin_anon_value_list: return True elif constant_type is type:\",\n \"constant_type is slice: return None else: assert False, constant_type def isIterableConstant(constant): return type(constant)\",\n \"is type: # Maybe pre-build this as a set for quicker testing. return\",\n \"in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool)\",\n \"return False return True elif constant_type in (tuple, list): for element_value in constant:\",\n \"time. \\\"\\\"\\\" # This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return\",\n \"are a prime example of immutable, dictionaries are mutable. \\\"\\\"\\\" # Many cases\",\n \"# TODO: Some others could also be usable and even interesting, but #\",\n \"ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2,\",\n \"b if type(a) in (tuple, list): if len(a) != len(b): return False for\",\n \"the specific language governing permissions and # limitations under the License. # \\\"\\\"\\\"\",\n \"many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison.\",\n \"constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, range, bytes,\",\n \"(bytes,) else: constant_builtin_types += ( unicode, long, # This has no name in\",\n \"means a user of a reference to it, can modify it. Strings are\",\n \"do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict:\",\n \"None elif constant_type is slice: return None else: assert False, constant_type def isIterableConstant(constant):\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"str, unicode, complex, int, long, bool, float, NoneType, range, bytes, slice, xrange, type,\",\n \"there is one types that is not mutable, and still not hashable: slices.\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"can modify it. Strings are a prime example of immutable, dictionaries are mutable.\",\n \") def isConstant(constant): # Too many cases and all return, that is how\",\n \"return type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create it proper\",\n \"if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is\",\n \"even if the # constants are built in the same way, therefore above\",\n \"for value in constant: if not isHashable(value): return False return True elif constant\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return True else: return\",\n \"(dict, list, set): return constant elif constant_type is tuple: for value in constant:\",\n \"constant in constant_builtin_types: return None elif constant_type is slice: return None else: assert\",\n \"use == at the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and\",\n \"frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def\",\n \"return False return True elif constant_type is frozenset: for value in constant: if\",\n \"dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant):\",\n \"return, that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type =\",\n \"return True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in\",\n \"Module for constants in Nuitka. This contains tools to compare, classify and test\",\n \"hashable: slices. \\\"\\\"\\\" # Many cases and all return, that is how we\",\n \"for element_value in constant: if not isConstant(element_value): return False return True elif constant_type\",\n \"# Too many cases and all return, that is how we do it\",\n \"for dicts and set keys. This is distinct from mutable, there is one\",\n \"a: if ea not in b: # Due to NaN values, we need\",\n \"( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import (\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"compiler that is compatible and # integrates with CPython, but also works on\",\n \"elif constant_type is frozenset: for value in constant: if isMutable(value): return True return\",\n \"type, BuiltinFunctionType, ): return None elif constant_type in (dict, list, set): return constant\",\n \"Determine if a value will be usable at compile time. \\\"\\\"\\\" # This\",\n \"is a container that contains NaN or it # is a complex or\",\n \"return False return True elif constant is Ellipsis: return True else: assert False,\",\n \"len(b): return False for ea, eb in zip(a, b): if not compareConstants(ea, eb):\",\n \"type(a) is not type(b): return False # Now it's either not the same,\",\n \"list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant)\",\n \"constant_type is tuple: for value in constant: if isMutable(value): return True return False\",\n \"frozenset): result = 0 for element_value in constant: result += getConstantWeight(element_value) return result\",\n \"dict: if len(a) != len(b): return False for ea1, ea2 in iterItems(a): for\",\n \"isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant) in\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"isConstant(value): return False return True elif constant_type in (tuple, list): for element_value in\",\n \"1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will be usable at compile\",\n \"in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True elif\",\n \"isConstant(key): return False if not isConstant(value): return False return True elif constant_type in\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"and constant in builtin_named_values_list: # TODO: Some others could also be usable and\",\n \"need to compare each set element with # all the other set to\",\n \"if not isHashable(value): return False return True elif constant_type is frozenset: for value\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"can use == at the end. if type(a) is complex: return compareConstants(a.imag, b.imag)\",\n \"# The NaN values of float and complex may let this fail, even\",\n \"# is a complex or float that is NaN, the other cases can\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"of float and complex may let this fail, even if the # constants\",\n \"if constant_type is dict: for key, value in iterItems(constant): if not isConstant(key): return\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict, list, set, bytearray):\",\n \"constant elif constant_type is tuple: for value in constant: res = getUnhashableConstant(value) if\",\n \"into other node types, e.g. str.join is # a candidate. return True else:\",\n \"here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode,\",\n \"nan, it has a # different sign for a start. if math.copysign(1.0, a)\",\n \"constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes,\",\n \"NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict, list,\",\n \"long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type\",\n \"return True elif constant is Ellipsis: return True else: assert False, constant_type def\",\n \"result = 0 for element_value in constant: result += getConstantWeight(element_value) return result else:\",\n \"in (int, long, bool) def createConstantDict(keys, values): # Create it proper size immediately.\",\n \"( int, str, float, list, tuple, set, dict, slice, complex, xrange, NoneType, )\",\n \"one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many cases and all\",\n \"float and complex may let this fail, even if the # constants are\",\n \"built in the same way, therefore above checks. return a == b #\",\n \"CPython, but also works on its own. # # Licensed under the Apache\",\n \"is not mutable, and still not hashable: slices. \\\"\\\"\\\" # Many cases and\",\n \"return False return True if type(a) is dict: if len(a) != len(b): return\",\n \"if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return True if\",\n \"if constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, xrange,\",\n \"in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return True else:\",\n \"Many cases and all return, that is how we do it here, #\",\n \"is not None: return res return None elif constant is Ellipsis: return None\",\n \"set keys. This is distinct from mutable, there is one types that is\",\n \"isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will be usable at compile time. \\\"\\\"\\\"\",\n \"for key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result\",\n \"be usable and even interesting, but # then probably should go into other\",\n \"(tuple, list): for element_value in constant: if not isConstant(element_value): return False return True\",\n \"elif constant_type is tuple: for value in constant: if isMutable(value): return True return\",\n \"it # is a complex or float that is NaN, the other cases\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return\",\n \"if not isConstant(value): return False return True elif constant_type in (tuple, list): for\",\n \"constant_builtin_types: return None elif constant_type is slice: return None else: assert False, constant_type\",\n \"probably should go into other node types, e.g. str.join is # a candidate.\",\n \"= 0 for key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value)\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"tools to compare, classify and test constants. \\\"\\\"\\\" import math from types import\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"in iterItems(constant): if not isConstant(key): return False if not isConstant(value): return False return\",\n \"complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True\",\n \"constant in builtin_named_values_list: # TODO: Some others could also be usable and even\",\n \"== b # These built-in type references are kind of constant too. The\",\n \"NaN values of float and complex may let this fail, even if the\",\n \"keys. This is distinct from mutable, there is one types that is not\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from\",\n \"fail, even if the # constants are built in the same way, therefore\",\n \"( unicode, long, # This has no name in Python, but the natural\",\n \"return False if math.isnan(a) and math.isnan(b): return True return a == b if\",\n \"for comparison. if type(a) is not type(b): return False # Now it's either\",\n \"C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many cases and all return, that\",\n \"Too many cases and all return, that is how we do it here,\",\n \"not the same, or it is a container that contains NaN or it\",\n \"slice: return None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in (\",\n \"else: assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list,\",\n \"None) for key, value in zip(keys, values): constant_value[key] = value return constant_value def\",\n \"others could also be usable and even interesting, but # then probably should\",\n \"reference to it, can modify it. Strings are a prime example of immutable,\",\n \"# integrates with CPython, but also works on its own. # # Licensed\",\n \"same, or it is a container that contains NaN or it # is\",\n \"bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict, list,\",\n \"the # constants are built in the same way, therefore above checks. return\",\n \") elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others\",\n \"assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple,\",\n \"unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is\",\n \"or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list:\",\n \"Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for\",\n \"is tuple: for value in constant: if isMutable(value): return True return False elif\",\n \"# different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return\",\n \"Some others could also be usable and even interesting, but # then probably\",\n \"elif constant_type in (dict, list, set, bytearray): return True elif constant_type is tuple:\",\n \"it for dicts and set keys. This is distinct from mutable, there is\",\n \"isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values): # Create it\",\n \"constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] = value\",\n \"language governing permissions and # limitations under the License. # \\\"\\\"\\\" Module for\",\n \"builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many many\",\n \"if constant_type is dict: result = 0 for key, value in iterItems(constant): result\",\n \"be usable at compile time. \\\"\\\"\\\" # This needs to match code in\",\n \"constant is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is\",\n \"!= len(b): return False for ea in a: if ea not in b:\",\n \"not isConstant(constant.step) ): return False return True elif constant_type in ( str, unicode,\",\n \"proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values):\",\n \"xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types +=\",\n \"False return True elif constant_type in (tuple, list): for element_value in constant: if\",\n \"else: return False def isMutable(constant): \\\"\\\"\\\" Is a constant mutable That means a\",\n \"not isHashable(value): return False return True elif constant_type is frozenset: for value in\",\n \"long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type\",\n \"reference to it, can use it for dicts and set keys. This is\",\n \"type(a) is dict: if len(a) != len(b): return False for ea1, ea2 in\",\n \"this fail, even if the # constants are built in the same way,\",\n \"that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant)\",\n \"with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is not\",\n \"License. # \\\"\\\"\\\" Module for constants in Nuitka. This contains tools to compare,\",\n \"unicode, complex, int, long, bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType,\",\n \"Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value in\",\n \"builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many\",\n \"in (tuple, list, set, frozenset): result = 0 for element_value in constant: result\",\n \"disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is not type(b): return\",\n \"in constant: result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\"\",\n \"float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type\",\n \"at compile time. \\\"\\\"\\\" # This needs to match code in makeCompileTimeConstantReplacementNode if\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"you may not use this file except in compliance with the License. #\",\n \"Python, but the natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too\",\n \"or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True elif constant_type\",\n \"type(b): return False # Now it's either not the same, or it is\",\n \"for value in constant: if isMutable(value): return True return False elif constant_type is\",\n \"if compareConstants(ea, eb): break else: return False return True if type(a) is xrange:\",\n \"isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set, frozenset, dict, xrange,\",\n \"def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will be usable at compile time.\",\n \"BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could also be usable\",\n \"math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version\",\n \"that is NaN, the other cases can use == at the end. if\",\n \"dicts and set keys. This is distinct from mutable, there is one types\",\n \"return True elif constant_type in (tuple, list): for element_value in constant: if not\",\n \"if math.isnan(a) and math.isnan(b): return True return a == b if type(a) in\",\n \"( str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType,\",\n \"# a candidate. return True else: return False def isMutable(constant): \\\"\\\"\\\" Is a\",\n \"constant_type in (dict, list, set): return constant elif constant_type is tuple: for value\",\n \"xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict, list, set,\",\n \"None else: assert False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode,\",\n \"Check sign first, -0.0 is not 0.0, or -nan is not nan, it\",\n \"constants in Nuitka. This contains tools to compare, classify and test constants. \\\"\\\"\\\"\",\n \"Due to NaN values, we need to compare each set element with #\",\n \"candidate. return True else: return False def isMutable(constant): \\\"\\\"\\\" Is a constant mutable\",\n \"slices. \\\"\\\"\\\" # Many cases and all return, that is how we do\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"def getUnhashableConstant(constant): # Too many cases and all return, that is how we\",\n \"values): # Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for key,\",\n \"return True elif constant in builtin_anon_value_list: return True elif constant_type is type: #\",\n \"optimizing Python compiler that is compatible and # integrates with CPython, but also\",\n \"in ( str, unicode, complex, int, long, bool, float, NoneType, range, bytes, slice,\",\n \"compareConstants(a, b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed\",\n \"# # Part of \\\"Nuitka\\\", an optimizing Python compiler that is compatible and\",\n \"for ea, eb in zip(a, b): if not compareConstants(ea, eb): return False return\",\n \"eb in zip(a, b): if not compareConstants(ea, eb): return False return True if\",\n \"is Ellipsis: return False elif constant is NotImplemented: return False else: assert False,\",\n \"value in constant: if isMutable(value): return True return False elif constant_type is frozenset:\",\n \"repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant hashable That means a user of\",\n \"constant is Ellipsis: return None elif constant in constant_builtin_types: return None elif constant_type\",\n \"elif constant in constant_builtin_types: return None elif constant_type is slice: return None else:\",\n \"not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False return True\",\n \"references are kind of constant too. The list should be # complete. constant_builtin_types\",\n \"= type(constant) if constant_type is dict: for key, value in iterItems(constant): if not\",\n \"Python compiler that is compatible and # integrates with CPython, but also works\",\n \"False elif constant is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant):\",\n \"for eb in b: if compareConstants(ea, eb): break else: return False return True\",\n \"is tuple: for value in constant: res = getUnhashableConstant(value) if res is not\",\n \"xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType =\",\n \"b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check sign first, -0.0\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"test constants. \\\"\\\"\\\" import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names\",\n \"all return, that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type\",\n \"still not hashable: slices. \\\"\\\"\\\" # Many cases and all return, that is\",\n \"False for ea in a: if ea not in b: # Due to\",\n \"True elif constant_type in (tuple, list): for element_value in constant: if not isConstant(element_value):\",\n \"values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type\",\n \"builtin_named_values_list, ) NoneType = type(None) def compareConstants(a, b): # Many many cases to\",\n \"Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases\",\n \"b: # Due to NaN values, we need to compare each set element\",\n \"isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def\",\n \"constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is\",\n \"False return True elif constant is Ellipsis: return True else: assert False, constant_type\",\n \"a user of a reference to it, can use it for dicts and\",\n \"False, constant_type def getUnhashableConstant(constant): # Too many cases and all return, that is\",\n \"cases and all return, that is how we do it here, # pylint:\",\n \"also works on its own. # # Licensed under the Apache License, Version\",\n \"ea not in b: # Due to NaN values, we need to compare\",\n \"will be usable at compile time. \\\"\\\"\\\" # This needs to match code\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"sure. for eb in b: if compareConstants(ea, eb): break else: return False return\",\n \"bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in\",\n \"or it is a container that contains NaN or it # is a\",\n \"complex, int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ):\",\n \"return str(a) == str(b) # The NaN values of float and complex may\",\n \"if len(a) != len(b): return False for ea, eb in zip(a, b): if\",\n \"return False for ea, eb in zip(a, b): if not compareConstants(ea, eb): return\",\n \"# pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names,\",\n \"for the specific language governing permissions and # limitations under the License. #\",\n \"types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import python_version from .__past__\",\n \"that contains NaN or it # is a complex or float that is\",\n \"False if math.isnan(a) and math.isnan(b): return True return a == b if type(a)\",\n \"a candidate. return True else: return False def isMutable(constant): \\\"\\\"\\\" Is a constant\",\n \"is NaN, the other cases can use == at the end. if type(a)\",\n \"False return True if type(a) in (frozenset, set): if len(a) != len(b): return\",\n \"long, bool) def createConstantDict(keys, values): # Create it proper size immediately. constant_value =\",\n \"iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break\",\n \"Maybe pre-build this as a set for quicker testing. return ( constant.__name__ in\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \"not None: return res return None elif constant is Ellipsis: return None elif\",\n \"compile time. \\\"\\\"\\\" # This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value):\",\n \"NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in\",\n \"if python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long,\",\n \"return constant elif constant_type is tuple: for value in constant: res = getUnhashableConstant(value)\",\n \"a complex or float that is NaN, the other cases can use ==\",\n \"float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True elif constant\",\n \"natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many cases and\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins import ( builtin_anon_names, builtin_anon_value_list,\",\n \"): return True elif constant_type in (dict, list, set, slice, bytearray): return False\",\n \"True elif constant_type is frozenset: for value in constant: if not isHashable(value): return\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"is dict: for key, value in iterItems(constant): if not isConstant(key): return False if\",\n \"comparison. if type(a) is not type(b): return False # Now it's either not\",\n \"complete. constant_builtin_types = ( int, str, float, list, tuple, set, dict, slice, complex,\",\n \"has a # different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0,\",\n \"False elif constant is Ellipsis: return False elif constant is NotImplemented: return False\",\n \"complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None\",\n \"and math.isnan(b): return True return a == b if type(a) in (tuple, list):\",\n \"value in constant: if not isHashable(value): return False return True elif constant_type is\",\n \"True elif constant_type is type: # Maybe pre-build this as a set for\",\n \"def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return type(constant)\",\n \"other cases can use == at the end. if type(a) is complex: return\",\n \"either express or implied. # See the License for the specific language governing\",\n \"bytes, set, frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType,\",\n \"NaN or it # is a complex or float that is NaN, the\",\n \"return False for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if\",\n \"res is not None: return res return None elif constant is Ellipsis: return\",\n \"if a value will be usable at compile time. \\\"\\\"\\\" # This needs\",\n \"node types, e.g. str.join is # a candidate. return True else: return False\",\n \"True if type(a) is dict: if len(a) != len(b): return False for ea1,\",\n \"we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is\",\n \"import python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange,\",\n \"should go into other node types, e.g. str.join is # a candidate. return\",\n \"getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset): result = 0\",\n \"different sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False\",\n \"(Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True elif constant_type\",\n \"constants are built in the same way, therefore above checks. return a ==\",\n \"all return, that is how we do it here, # pylint: disable=too-many-return-statements constant_type\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"This is distinct from mutable, there is one types that is not mutable,\",\n \"# Check sign first, -0.0 is not 0.0, or -nan is not nan,\",\n \"len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool) def isIndexConstant(constant): return\",\n \"types that is not mutable, and still not hashable: slices. \\\"\\\"\\\" # Many\",\n \"return result elif constant_type in (tuple, list, set, frozenset): result = 0 for\",\n \"for value in constant: res = getUnhashableConstant(value) if res is not None: return\",\n \"and all return, that is how we do it here, # pylint: disable=too-many-return-statements\",\n \"bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant)\",\n \"mailto:<EMAIL> # # Part of \\\"Nuitka\\\", an optimizing Python compiler that is compatible\",\n \"elif constant_type in (dict, list, set, slice, bytearray): return False elif constant_type is\",\n \"in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in\",\n \"zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant) if\",\n \"for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if math.isnan(a)\",\n \"not compareConstants(ea, eb): return False return True if type(a) is dict: if len(a)\",\n \"elif constant is NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\"\",\n \"float, NoneType, xrange, bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict,\",\n \"getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float,\",\n \"of a reference to it, can use it for dicts and set keys.\",\n \"specific language governing permissions and # limitations under the License. # \\\"\\\"\\\" Module\",\n \"True elif constant_type in ( str, unicode, complex, int, long, bool, float, NoneType,\",\n \"not isConstant(element_value): return False return True elif constant_type is slice: if ( not\",\n \"def isMutable(constant): \\\"\\\"\\\" Is a constant mutable That means a user of a\",\n \"the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if\",\n \"if not isConstant(key): return False if not isConstant(value): return False return True elif\",\n \"bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict, list, set): return\",\n \"result = 0 for key, value in iterItems(constant): result += getConstantWeight(key) result +=\",\n \"is one types that is not mutable, and still not hashable: slices. \\\"\\\"\\\"\",\n \"BuiltinFunctionType, ): return True elif constant_type in (dict, list, set, slice, bytearray): return\",\n \"compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return True if type(a)\",\n \"the License. # You may obtain a copy of the License at #\",\n \"That means a user of a reference to it, can modify it. Strings\",\n \"if len(a) != len(b): return False for ea1, ea2 in iterItems(a): for eb1,\",\n \"isHashable(value): return False return True elif constant is Ellipsis: return True else: assert\",\n \"is compatible and # integrates with CPython, but also works on its own.\",\n \"cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if\",\n \"ea, eb in zip(a, b): if not compareConstants(ea, eb): return False return True\",\n \"of constant too. The list should be # complete. constant_builtin_types = ( int,\",\n \"works on its own. # # Licensed under the Apache License, Version 2.0\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"0 for key, value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return\",\n \"testing. return ( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"element_value in constant: result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value):\",\n \"either not the same, or it is a container that contains NaN or\",\n \"math.isnan(a) and math.isnan(b): return True return a == b if type(a) in (tuple,\",\n \"return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result =\",\n \"or -nan is not nan, it has a # different sign for a\",\n \"return True elif constant_type is type: # Maybe pre-build this as a set\",\n \"elif constant_type is tuple: for value in constant: res = getUnhashableConstant(value) if res\",\n \"if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return False\",\n \"isConstant(constant): # Too many cases and all return, that is how we do\",\n \"it here, # pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str,\",\n \"bytearray): return False elif constant_type is tuple: for value in constant: if not\",\n \"slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step) ): return\",\n \"False for ea, eb in zip(a, b): if not compareConstants(ea, eb): return False\",\n \"and still not hashable: slices. \\\"\\\"\\\" # Many cases and all return, that\",\n \"not hashable: slices. \\\"\\\"\\\" # Many cases and all return, that is how\",\n \"constant is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): # Too\",\n \"eb in b: if compareConstants(ea, eb): break else: return False return True if\",\n \"match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return\",\n \"== at the end. if type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real,\",\n \"immutable, dictionaries are mutable. \\\"\\\"\\\" # Many cases and all return, that is\",\n \"return True elif constant_type is tuple: for value in constant: if isMutable(value): return\",\n \"# pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode, complex,\",\n \"hashable That means a user of a reference to it, can use it\",\n \"it, can use it for dicts and set keys. This is distinct from\",\n \"constant_type in (dict, list, set, slice, bytearray): return False elif constant_type is tuple:\",\n \"constant_type def getUnhashableConstant(constant): # Too many cases and all return, that is how\",\n \"False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant hashable That means a user\",\n \"mutable That means a user of a reference to it, can modify it.\",\n \"This has no name in Python, but the natural one in C-API. builtin_anon_names[\\\"instance\\\"],\",\n \"constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not isConstant(constant.step)\",\n \"long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return True\",\n \"NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True elif constant_type is\",\n \"eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return\",\n \"slice, bytearray): return False elif constant_type is tuple: for value in constant: if\",\n \"xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict, list, set):\",\n \"0 for element_value in constant: result += getConstantWeight(element_value) return result else: return 1\",\n \"getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value\",\n \"is float: # Check sign first, -0.0 is not 0.0, or -nan is\",\n \"return True return False elif constant_type is frozenset: for value in constant: if\",\n \"elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return\",\n \"(dict, list, set, slice, bytearray): return False elif constant_type is tuple: for value\",\n \"we need to compare each set element with # all the other set\",\n \"return True elif constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop)\",\n \"in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many cases and all return,\",\n \"= type(constant) if constant_type is dict: result = 0 for key, value in\",\n \"list, set, slice, bytearray): return False elif constant_type is tuple: for value in\",\n \"size immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key]\",\n \"bool, float, NoneType, range, bytes, slice, xrange, type, BuiltinFunctionType, ): return False elif\",\n \"with the License. # You may obtain a copy of the License at\",\n \"NoneType, xrange, bytes, type, BuiltinFunctionType, ): return None elif constant_type in (dict, list,\",\n \"and compareConstants(ea2, eb2): break else: return False return True if type(a) in (frozenset,\",\n \"a container that contains NaN or it # is a complex or float\",\n \"NaN values, we need to compare each set element with # all the\",\n \"bytearray): return True elif constant_type is tuple: for value in constant: if isMutable(value):\",\n \"value in iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type\",\n \"constant_type in (dict, list, set, bytearray): return True elif constant_type is tuple: for\",\n \"int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray, ): return\",\n \"pre-build this as a set for quicker testing. return ( constant.__name__ in builtin_type_names\",\n \"= dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] = value return\",\n \"not mutable, and still not hashable: slices. \\\"\\\"\\\" # Many cases and all\",\n \"== b if type(a) in (tuple, list): if len(a) != len(b): return False\",\n \"all the other set to be really sure. for eb in b: if\",\n \"\\\"\\\"\\\" Determine if a value will be usable at compile time. \\\"\\\"\\\" #\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"constant: if isMutable(value): return True return False elif constant is Ellipsis: return False\",\n \"cases can use == at the end. if type(a) is complex: return compareConstants(a.imag,\",\n \"return True if type(a) in (frozenset, set): if len(a) != len(b): return False\",\n \"that is how we do it here, # pylint: disable=too-many-return-statements constant_type = type(constant)\",\n \"\\\"\\\"\\\" # This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True\",\n \"math.isnan(b): return True return a == b if type(a) in (tuple, list): if\",\n \">= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, # This\",\n \"constant in builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build this\",\n \"is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if\",\n \"\\\"\\\"\\\" Is a constant mutable That means a user of a reference to\",\n \"limitations under the License. # \\\"\\\"\\\" Module for constants in Nuitka. This contains\",\n \"be really sure. for eb in b: if compareConstants(ea, eb): break else: return\",\n \"eb): break else: return False return True if type(a) is xrange: return str(a)\",\n \"set): if len(a) != len(b): return False for ea in a: if ea\",\n \"if type(a) is float: # Check sign first, -0.0 is not 0.0, or\",\n \"elif constant_type is slice: return None else: assert False, constant_type def isIterableConstant(constant): return\",\n \"checks. return a == b # These built-in type references are kind of\",\n \"constants. \\\"\\\"\\\" import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from\",\n \"first, -0.0 is not 0.0, or -nan is not nan, it has a\",\n \"return False elif constant_type in (dict, list, set, bytearray): return True elif constant_type\",\n \"= type(constant) if constant_type in ( str, unicode, complex, int, long, bool, float,\",\n \"False, constant_type def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set,\",\n \"key, value in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type\",\n \"return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check sign\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"This contains tools to compare, classify and test constants. \\\"\\\"\\\" import math from\",\n \"sign for a start. if math.copysign(1.0, a) != math.copysign(1.0, b): return False if\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"in a: if ea not in b: # Due to NaN values, we\",\n \"and all return, that is how we do it here, # pylint: disable=too-many-branches,too-many-return-statements\",\n \"tuple: for value in constant: if not isHashable(value): return False return True elif\",\n \"False return True elif constant_type is frozenset: for value in constant: if not\",\n \"slice, xrange, type, BuiltinFunctionType, ): return False elif constant_type in (dict, list, set,\",\n \"are kind of constant too. The list should be # complete. constant_builtin_types =\",\n \"in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False return\",\n \"assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int, long, float, bool)\",\n \"each set element with # all the other set to be really sure.\",\n \"len(b): return False for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b):\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float: # Check\",\n \"These built-in type references are kind of constant too. The list should be\",\n \"disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key, value in iterItems(constant):\",\n \"= 0 for element_value in constant: result += getConstantWeight(element_value) return result else: return\",\n \"# This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif\",\n \"set, slice, bytearray): return False elif constant_type is tuple: for value in constant:\",\n \"# Supposed fast path for comparison. if type(a) is not type(b): return False\",\n \"contains NaN or it # is a complex or float that is NaN,\",\n \"let this fail, even if the # constants are built in the same\",\n \"python_version >= 300: constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, #\",\n \"an optimizing Python compiler that is compatible and # integrates with CPython, but\",\n \"in (dict, list, set): return constant elif constant_type is tuple: for value in\",\n \"value in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type =\",\n \"and # limitations under the License. # \\\"\\\"\\\" Module for constants in Nuitka.\",\n \"isHashable(constant): \\\"\\\"\\\" Is a constant hashable That means a user of a reference\",\n \"way, therefore above checks. return a == b # These built-in type references\",\n \"constant_type is frozenset: for value in constant: if isMutable(value): return True return False\",\n \"getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset):\",\n \"# Copyright 2020, <NAME>, mailto:<EMAIL> # # Part of \\\"Nuitka\\\", an optimizing Python\",\n \"return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will be usable at\",\n \"float, list, tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version >=\",\n \"Ellipsis: return None elif constant in constant_builtin_types: return None elif constant_type is slice:\",\n \"if the # constants are built in the same way, therefore above checks.\",\n \"set, frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis, NoneType, NotImplemented):\",\n \"bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def createConstantDict(keys, values): #\",\n \"str, float, list, tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version\",\n \"is xrange: return str(a) == str(b) # The NaN values of float and\",\n \"== str(b) # The NaN values of float and complex may let this\",\n \"(int, long, float, bool) def isIndexConstant(constant): return type(constant) in (int, long, bool) def\",\n \"and even interesting, but # then probably should go into other node types,\",\n \"result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if a value will be\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"constant: result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"list, tuple, set, dict, slice, complex, xrange, NoneType, ) if python_version >= 300:\",\n \") def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in (int,\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"classify and test constants. \\\"\\\"\\\" import math from types import BuiltinFunctionType from nuitka.Builtins\",\n \"complex or float that is NaN, the other cases can use == at\",\n \"range, bytes, set, frozenset, xrange, bytearray, ): return True elif constant in (Ellipsis,\",\n \"This needs to match code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value)\",\n \"a user of a reference to it, can modify it. Strings are a\",\n \"return False elif constant is Ellipsis: return False elif constant is NotImplemented: return\",\n \"assert False, constant_type def getUnhashableConstant(constant): # Too many cases and all return, that\",\n \"+= getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple, list, set,\",\n \"or not isConstant(constant.step) ): return False return True elif constant_type in ( str,\",\n \"constant_type is dict: result = 0 for key, value in iterItems(constant): result +=\",\n \"return True else: return False def isMutable(constant): \\\"\\\"\\\" Is a constant mutable That\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"a) != math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True return\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"return True return False elif constant is Ellipsis: return False elif constant is\",\n \"2020, <NAME>, mailto:<EMAIL> # # Part of \\\"Nuitka\\\", an optimizing Python compiler that\",\n \"return type(constant) in ( str, unicode, list, tuple, set, frozenset, dict, xrange, bytes,\",\n \"else: return False return True if type(a) is xrange: return str(a) == str(b)\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"list, set, bytearray): return True elif constant_type is tuple: for value in constant:\",\n \"isMutable(value): return True return False elif constant is Ellipsis: return False elif constant\",\n \"it proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value in zip(keys,\",\n \"elif constant in builtin_anon_value_list: return True elif constant_type is type: # Maybe pre-build\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a)\",\n \"if not compareConstants(ea, eb): return False return True if type(a) is dict: if\",\n \"xrange: return str(a) == str(b) # The NaN values of float and complex\",\n \"builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many cases and all return, that is\",\n \"frozenset: for value in constant: if isMutable(value): return True return False elif constant\",\n \"return False def isMutable(constant): \\\"\\\"\\\" Is a constant mutable That means a user\",\n \"a == b if type(a) in (tuple, list): if len(a) != len(b): return\",\n \"for ea1, ea2 in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1)\",\n \"to compare each set element with # all the other set to be\",\n \"can use it for dicts and set keys. This is distinct from mutable,\",\n \"result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple, list,\",\n \"in constant: res = getUnhashableConstant(value) if res is not None: return res return\",\n \"True elif constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or\",\n \"should be # complete. constant_builtin_types = ( int, str, float, list, tuple, set,\",\n \"to NaN values, we need to compare each set element with # all\",\n \"code in makeCompileTimeConstantReplacementNode if isConstant(value): return True elif type(value) is type: return True\",\n \"not isConstant(value): return False return True elif constant_type in (tuple, list): for element_value\",\n \"eb2): break else: return False return True if type(a) in (frozenset, set): if\",\n \"iterItems(constant): result += getConstantWeight(key) result += getConstantWeight(value) return result elif constant_type in (tuple,\",\n \"complex may let this fail, even if the # constants are built in\",\n \"kind of constant too. The list should be # complete. constant_builtin_types = (\",\n \"even interesting, but # then probably should go into other node types, e.g.\",\n \"it, can modify it. Strings are a prime example of immutable, dictionaries are\",\n \"is tuple: for value in constant: if not isHashable(value): return False return True\",\n \"eb): return False return True if type(a) is dict: if len(a) != len(b):\",\n \"go into other node types, e.g. str.join is # a candidate. return True\",\n \"value return constant_value def getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result\",\n \"list, set): return constant elif constant_type is tuple: for value in constant: res\",\n \".__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, ) from .Builtins\",\n \"isConstant(element_value): return False return True elif constant_type is slice: if ( not isConstant(constant.start)\",\n \"disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode, complex, int, long,\",\n \"if len(a) != len(b): return False for ea in a: if ea not\",\n \"no name in Python, but the natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def\",\n \"in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO:\",\n \"unicode, complex, int, long, bool, float, NoneType, range, bytes, set, frozenset, xrange, bytearray,\",\n \"compatible and # integrates with CPython, but also works on its own. #\",\n \"return False elif constant_type is frozenset: for value in constant: if isMutable(value): return\",\n \"return res return None elif constant is Ellipsis: return None elif constant in\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2): break else: return False\",\n \"and compareConstants(a.real, b.real) if type(a) is float: # Check sign first, -0.0 is\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"to be really sure. for eb in b: if compareConstants(ea, eb): break else:\",\n \"is distinct from mutable, there is one types that is not mutable, and\",\n \"if not isConstant(element_value): return False return True elif constant_type is slice: if (\",\n \"type(a) is complex: return compareConstants(a.imag, b.imag) and compareConstants(a.real, b.real) if type(a) is float:\",\n \"dictionaries are mutable. \\\"\\\"\\\" # Many cases and all return, that is how\",\n \"or it # is a complex or float that is NaN, the other\",\n \"type(a) in (tuple, list): if len(a) != len(b): return False for ea, eb\",\n \"eb1) and compareConstants(ea2, eb2): break else: return False return True if type(a) in\",\n \"return False if not isConstant(value): return False return True elif constant_type in (tuple,\",\n \"in Python, but the natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): #\",\n \"prime example of immutable, dictionaries are mutable. \\\"\\\"\\\" # Many cases and all\",\n \"# pylint: disable=too-many-branches,too-many-return-statements constant_type = type(constant) if constant_type is dict: for key, value\",\n \"if isMutable(value): return True return False elif constant_type is frozenset: for value in\",\n \"set element with # all the other set to be really sure. for\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"may not use this file except in compliance with the License. # You\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"return a == b if type(a) in (tuple, list): if len(a) != len(b):\",\n \"type(a) in (frozenset, set): if len(a) != len(b): return False for ea in\",\n \"is not 0.0, or -nan is not nan, it has a # different\",\n \"to compare, classify and test constants. \\\"\\\"\\\" import math from types import BuiltinFunctionType\",\n \"False return True if type(a) is xrange: return str(a) == str(b) # The\",\n \"tuple: for value in constant: res = getUnhashableConstant(value) if res is not None:\",\n \"Copyright 2020, <NAME>, mailto:<EMAIL> # # Part of \\\"Nuitka\\\", an optimizing Python compiler\",\n \"def isIterableConstant(constant): return type(constant) in ( str, unicode, list, tuple, set, frozenset, dict,\",\n \"result += getConstantWeight(element_value) return result else: return 1 def isCompileTimeConstantValue(value): \\\"\\\"\\\" Determine if\",\n \"contains tools to compare, classify and test constants. \\\"\\\"\\\" import math from types\",\n \"( constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType\",\n \"b: if compareConstants(ea, eb): break else: return False return True if type(a) is\",\n \"(int, long, bool) def createConstantDict(keys, values): # Create it proper size immediately. constant_value\",\n \"Ellipsis: return False elif constant is NotImplemented: return False else: assert False, repr(constant)\",\n \"tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return\",\n \"a == b # These built-in type references are kind of constant too.\",\n \"else: return False return True if type(a) in (frozenset, set): if len(a) !=\",\n \"are built in the same way, therefore above checks. return a == b\",\n \"def createConstantDict(keys, values): # Create it proper size immediately. constant_value = dict.fromkeys(keys, None)\",\n \"# Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for key, value\",\n \"# limitations under the License. # \\\"\\\"\\\" Module for constants in Nuitka. This\",\n \"return False return True elif constant_type in ( str, unicode, complex, int, long,\",\n \"isConstant(constant.step) ): return False return True elif constant_type in ( str, unicode, complex,\",\n \"): return True elif constant in (Ellipsis, NoneType, NotImplemented): return True elif constant\",\n \"False return True elif constant_type is slice: if ( not isConstant(constant.start) or not\",\n \"is dict: result = 0 for key, value in iterItems(constant): result += getConstantWeight(key)\",\n \"constant_type in (tuple, list): for element_value in constant: if not isConstant(element_value): return False\",\n \"type(a) is float: # Check sign first, -0.0 is not 0.0, or -nan\",\n \"compareConstants(ea2, eb2): break else: return False return True if type(a) in (frozenset, set):\",\n \"pylint: disable=too-many-return-statements constant_type = type(constant) if constant_type in ( str, unicode, complex, int,\",\n \"\\\"\\\"\\\" Is a constant hashable That means a user of a reference to\",\n \"getConstantWeight(constant): constant_type = type(constant) if constant_type is dict: result = 0 for key,\",\n \".Builtins import ( builtin_anon_names, builtin_anon_value_list, builtin_exception_values_list, builtin_named_values_list, ) NoneType = type(None) def compareConstants(a,\",\n \"set): return constant elif constant_type is tuple: for value in constant: res =\",\n \"if ea not in b: # Due to NaN values, we need to\",\n \"str, unicode, list, tuple, set, frozenset, dict, xrange, bytes, bytearray, ) def getConstantIterationLength(constant):\",\n \"the other cases can use == at the end. if type(a) is complex:\",\n \"b): # Many many cases to deal with, pylint: disable=too-many-branches,too-many-return-statements # Supposed fast\",\n \"False elif constant_type is frozenset: for value in constant: if isMutable(value): return True\",\n \"The list should be # complete. constant_builtin_types = ( int, str, float, list,\",\n \"constant is Ellipsis: return False elif constant is NotImplemented: return False else: assert\",\n \"bool) def createConstantDict(keys, values): # Create it proper size immediately. constant_value = dict.fromkeys(keys,\",\n \"!= math.copysign(1.0, b): return False if math.isnan(a) and math.isnan(b): return True return a\",\n \"constant.__name__ in builtin_type_names or constant in builtin_exception_values_list ) elif constant_type is BuiltinFunctionType and\",\n \"+= getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset): result =\",\n \"from mutable, there is one types that is not mutable, and still not\",\n \"dict.fromkeys(keys, None) for key, value in zip(keys, values): constant_value[key] = value return constant_value\",\n \"fast path for comparison. if type(a) is not type(b): return False # Now\",\n \"not nan, it has a # different sign for a start. if math.copysign(1.0,\",\n \"import math from types import BuiltinFunctionType from nuitka.Builtins import builtin_type_names from nuitka.PythonVersions import\",\n \"return a == b # These built-in type references are kind of constant\",\n \"elif constant_type is slice: if ( not isConstant(constant.start) or not isConstant(constant.stop) or not\",\n \"True else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases and all\",\n \"zip(a, b): if not compareConstants(ea, eb): return False return True if type(a) is\",\n \"None: return res return None elif constant is Ellipsis: return None elif constant\",\n \"modify it. Strings are a prime example of immutable, dictionaries are mutable. \\\"\\\"\\\"\",\n \"element with # all the other set to be really sure. for eb\",\n \"dict, slice, complex, xrange, NoneType, ) if python_version >= 300: constant_builtin_types += (bytes,)\",\n \"under the License. # \\\"\\\"\\\" Module for constants in Nuitka. This contains tools\",\n \"as a set for quicker testing. return ( constant.__name__ in builtin_type_names or constant\",\n \"elif constant is Ellipsis: return None elif constant in constant_builtin_types: return None elif\",\n \"bytearray, ) def getConstantIterationLength(constant): assert isIterableConstant(constant) return len(constant) def isNumberConstant(constant): return type(constant) in\",\n \"str, unicode, complex, int, long, bool, float, NoneType, xrange, bytes, type, BuiltinFunctionType, ):\",\n \"pylint: disable=too-many-branches,too-many-return-statements # Supposed fast path for comparison. if type(a) is not type(b):\",\n \"in zip(keys, values): constant_value[key] = value return constant_value def getConstantWeight(constant): constant_type = type(constant)\",\n \"type references are kind of constant too. The list should be # complete.\",\n \"constant_type is BuiltinFunctionType and constant in builtin_named_values_list: # TODO: Some others could also\",\n \"True return False elif constant is Ellipsis: return False elif constant is NotImplemented:\",\n \"many cases and all return, that is how we do it here, #\",\n \"also be usable and even interesting, but # then probably should go into\",\n \"python_version from .__past__ import ( # pylint: disable=I0021,redefined-builtin iterItems, long, unicode, xrange, )\",\n \"in iterItems(a): for eb1, eb2 in iterItems(b): if compareConstants(ea1, eb1) and compareConstants(ea2, eb2):\",\n \"interesting, but # then probably should go into other node types, e.g. str.join\",\n \"return True if type(a) is xrange: return str(a) == str(b) # The NaN\",\n \"is frozenset: for value in constant: if isMutable(value): return True return False elif\",\n \"elif constant_type is tuple: for value in constant: if not isHashable(value): return False\",\n \"That means a user of a reference to it, can use it for\",\n \"def isConstant(constant): # Too many cases and all return, that is how we\",\n \"return None elif constant in constant_builtin_types: return None elif constant_type is slice: return\",\n \"constant in (Ellipsis, NoneType, NotImplemented): return True elif constant in builtin_anon_value_list: return True\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"types, e.g. str.join is # a candidate. return True else: return False def\",\n \"assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant hashable That means a\",\n \"NotImplemented: return False else: assert False, repr(constant) def isHashable(constant): \\\"\\\"\\\" Is a constant\",\n \"(tuple, list): if len(a) != len(b): return False for ea, eb in zip(a,\",\n \"constant_builtin_types += (bytes,) else: constant_builtin_types += ( unicode, long, # This has no\",\n \"but the natural one in C-API. builtin_anon_names[\\\"instance\\\"], ) def isConstant(constant): # Too many\",\n \"elif constant_type in ( str, unicode, complex, int, long, bool, float, NoneType, range,\",\n \"elif constant is Ellipsis: return True else: assert False, constant_type def getUnhashableConstant(constant): #\",\n \"# constants are built in the same way, therefore above checks. return a\",\n \"result += getConstantWeight(value) return result elif constant_type in (tuple, list, set, frozenset): result\",\n \"bytes, type, BuiltinFunctionType, ): return True elif constant_type in (dict, list, set, slice,\",\n \"createConstantDict(keys, values): # Create it proper size immediately. constant_value = dict.fromkeys(keys, None) for\",\n \"dict: result = 0 for key, value in iterItems(constant): result += getConstantWeight(key) result\",\n \"else: assert False, constant_type def getUnhashableConstant(constant): # Too many cases and all return,\"\n]","isConversational":false}}},{"rowIdx":758,"cells":{"ngram":{"kind":"list like","value":["support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This","import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history","DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response","tuple of # (http_response, parsed_dict). # If an exception occurs then the success_response","}) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name,","return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output","on any modeled error fields # NOTE: Ideally, we would push this down","return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We","http_response.content return response_dict class Endpoint(object): \"\"\" Represents an endpoint for a particular service","= attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is not None:","library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The","https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're creating our #","currently have no reference to the operation or service model # The parsers",") history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model,","http_session=http_session ) def _get_proxies(self, url): # We could also support getting proxies from","= response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class","response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response","entire contents of the # body. request.reset_stream() # Create a new request when","300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length =","endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host","request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request =","_get_response(self, request, operation_model, context): # This will return a tuple of (success_response, exception)","value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts =","body (string or file-like object) \"\"\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code,","prepared_request def _encode_headers(self, headers): # In place encoding of headers to utf-8 if","'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name","This will ensure that we resend the entire contents of the # body.","ANY KIND, either express or implied. See the License for the specific #","HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import","# The parsers should probably take the operation model instead of # output","modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error","request again. # This will ensure that we resend the entire contents of","Represents an endpoint for a particular service in a specific region. Only an","try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming':","response object to a request dict. This converts the requests library's HTTP response","operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([","this endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar session: The","first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError as e: return","http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id","= any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name)","event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None,","% (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is","first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers","= self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request)","event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self,","See the License for the specific # language governing permissions and limitations under","if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return","A response dictionary which will contain the following keys: * headers (dict) *","= self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context,","the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the","response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } }","# # http://aws.amazon.com/apache2.0/ # # or in the \"license\" file accompanying this file.","botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from","operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response is not None","request, operation_model, context): # This will return a tuple of (success_response, exception) #","that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE',","None, then the user explicitly specified # a value so this automatically wins.","convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol =","a new signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request,","is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies is None: proxies =","response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol)","keys: * headers (dict) * status_code (int) * body (string or file-like object)","request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body","for the specific # language governing permissions and limitations under the License. import","botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service request. :rtype: dict","request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if","endpoint: %s\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix =","error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts","now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response)","time import threading from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions","# but for now proxy support is taken from the environment. return get_environ_proxies(url)","they are unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] =","distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY","logger.debug(\"Response received to retry, sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response) return True","down into the parser classes but # they currently have no reference to","return False else: # Request needs to be retried, and we need to","attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False else:","response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \"\"\"","host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory =","# Request needs to be retried, and we need to sleep # for","= success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize()","operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self,","not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies is None: proxies","operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return service_model","_get_proxies(self, url): # We could also support getting proxies from a config file,","endpoint hostname. :ivar session: The session object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter,","2.0 (the \"License\"). You # may not use this file except in compliance","http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url':","operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second","parser classes but # they currently have no reference to the operation or","endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls(","socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self,","service: The Service object that describes this endpoints service. :ivar host: The fully","retried (including a new signature). request = self.create_request( request_dict, operation_model) success_response, exception =","= convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol","logging import time import threading from botocore.vendored import six from botocore.awsrequest import create_request_object","%s with params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None):","from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies","as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert,","= parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' %","None: return False else: # Request needs to be retried, and we need","in success_response[1]: # We want to share num retries, not num attempts. total_retries","Exception as e: logger.debug(\"Exception received when sending HTTP request.\", exc_info=True) return (None, e)","raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url)","= http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body']","= operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a","new request when retried (including a new signature). request = self.create_request( request_dict, operation_model)","file, # but for now proxy support is taken from the environment. return","file accompanying this file. This file is # distributed on an \"AS IS\"","* headers (dict) * status_code (int) * body (string or file-like object) \"\"\"","is itself a tuple of # (http_response, parsed_dict). # If an exception occurs","no reference to the operation or service model # The parsers should probably","self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def","e: return (None, e) except Exception as e: logger.debug(\"Exception received when sending HTTP","if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif","want to share num retries, not num attempts. total_retries = attempts - 1","= 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def","under the Apache License, Version 2.0 (the \"License\"). You # may not use","under the License. import os import logging import time import threading from botocore.vendored","%s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params)","headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model):","contain the following keys: * headers (dict) * status_code (int) * body (string","'ResponseMetadata' in success_response[1]: # We want to share num retries, not num attempts.","def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s'","# We could also support getting proxies from a config file, # but","success_response is itself a tuple of # (http_response, parsed_dict). # If an exception","error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return service_model = operation_model.service_model error_shape","= self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts +=","before attempting to send the request again. # This will ensure that we","to pick up on any modeled error fields # NOTE: Ideally, we would","this file except in compliance with the License. A copy of # the","else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \"\"\" Represents an endpoint for","'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body']","socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies","_add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code","'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id =","operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict,","None: http_response = self._send(request) except HTTPClientError as e: return (None, e) except Exception","located at # # http://aws.amazon.com/apache2.0/ # # or in the \"license\" file accompanying","import logging import time import threading from botocore.vendored import six from botocore.awsrequest import","except in compliance with the License. A copy of # the License is","a request dict. This converts the requests library's HTTP response object to a","request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name)","# a value so this automatically wins. if verify is not None: return","dictionary which will contain the following keys: * headers (dict) * status_code (int)","TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model,","All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the","'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output:","http_response is None: http_response = self._send(request) except HTTPClientError as e: return (None, e)","sleep # for the specified number of times. logger.debug(\"Response received to retry, sleeping","\"\"\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, }","response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None:","def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output,","If an exception occurs then the success_response is None. # If no exception","# If no exception occurs then exception is None. success_response, exception = self._do_get_response(","limitations under the License. import os import logging import time import threading from","The session object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix =","need # to reset it before attempting to send the request again. #","this file. This file is # distributed on an \"AS IS\" BASIS, WITHOUT","operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request,","and success_response is itself a tuple of # (http_response, parsed_dict). # If an","operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response","botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession","when sending HTTP request.\", exc_info=True) return (None, e) # This returns the http_response","self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception':","parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code)","return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default to #","http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response,","request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False else: # Request","(http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code =","except Exception as e: logger.debug(\"Exception received when sending HTTP request.\", exc_info=True) return (None,","Ideally, we would push this down into the parser classes but # they","None. # If no exception occurs then exception is None. success_response, exception =","a value so this automatically wins. if verify is not None: return verify","= 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object to a request","reset it before attempting to send the request again. # This will ensure","HTTP response object to a request dict. This converts the requests library's HTTP","operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If","* body (string or file-like object) \"\"\" response_dict = { 'headers': http_response.headers, 'status_code':","operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return","return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter","protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do","%s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, )","operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape)","return a tuple of (success_response, exception) # and success_response is itself a tuple","value so this automatically wins. if verify is not None: return verify #","self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding of headers to","language governing permissions and limitations under the License. import os import logging import","# http://aws.amazon.com/apache2.0/ # # or in the \"license\" file accompanying this file. This","from an AWS service request. :rtype: dict :return: A response dictionary which will","_encode_headers(self, headers): # In place encoding of headers to utf-8 if they are","e) except Exception as e: logger.debug(\"Exception received when sending HTTP request.\", exc_info=True) return","event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also support getting","= event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory",":rtype: dict :return: A response dictionary which will contain the following keys: *","for %s with params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params,","qualified endpoint hostname. :ivar session: The session object. \"\"\" def __init__(self, host, endpoint_prefix,","{ 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id","2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under","response_dict class Endpoint(object): \"\"\" Represents an endpoint for a particular service in a","the request again. # This will ensure that we resend the entire contents","%s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body':",") def _get_proxies(self, url): # We could also support getting proxies from a","explicitly specified # a value so this automatically wins. if verify is not","self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s with params: %s\", operation_model,","file-like object) \"\"\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name':","operation_model.output_shape) # Do a second parsing pass to pick up on any modeled","modeled error fields # NOTE: Ideally, we would push this down into the","compliance with the License. A copy of # the License is located at","if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def","service request. :rtype: dict :return: A response dictionary which will contain the following","also support getting proxies from a config file, # but for now proxy","dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service","request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self,","received when sending HTTP request.\", exc_info=True) return (None, e) # This returns the","request for %s with params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self,","object) \"\"\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name,","parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response,","and we need to sleep # for the specified number of times. logger.debug(\"Response","None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\")","import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS =","from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder","exception is not None: raise exception else: return success_response def _get_response(self, request, operation_model,",">= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response),","# If there is a stream associated with the request, we need #","= response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser =","op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): #","own request objects. # First, if verify is not None, then the user","context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If there","history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert","self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return","self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If there is a","status_code (int) * body (string or file-like object) \"\"\" response_dict = { 'headers':","parsers should probably take the operation model instead of # output shape but","is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is","def _get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where","or file-like object) \"\"\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': {","params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request =","success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit(","pass to pick up on any modeled error fields # NOTE: Ideally, we","response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses","# First, if verify is not None, then the user explicitly specified #","If there is a stream associated with the request, we need # to","prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding of","total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is not","Do a second parsing pass to pick up on any modeled error fields","file is # distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS","length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict","BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied.","parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self,","import os import logging import time import threading from botocore.vendored import six from","need to sleep # for the specified number of times. logger.debug(\"Response received to","is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s',","# where we need to honor REQUESTS_CA_BUNDLE because we're creating our # own","the entire contents of the # body. request.reset_stream() # Create a new request","conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None):","on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND,","endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return","# Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # #","**kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request: %s\",","( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending","parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name =","= parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session","success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception):","= value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts","error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self,","retried, and we need to sleep # for the specified number of times.","raise exception else: return success_response def _get_response(self, request, operation_model, context): # This will","client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url):","of # (http_response, parsed_dict). # If an exception occurs then the success_response is","def _get_proxies(self, url): # We could also support getting proxies from a config","a new request when retried (including a new signature). request = self.create_request( request_dict,","response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if","response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object):","times. logger.debug(\"Response received to retry, sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response) return","stream associated with the request, we need # to reset it before attempting","http://aws.amazon.com/apache2.0/ # # or in the \"license\" file accompanying this file. This file","because we're creating our # own request objects. # First, if verify is","Copyright (c) 2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates.","\"\"\" Represents an endpoint for a particular service in a specific region. Only","'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response is not","None and \\ 'ResponseMetadata' in success_response[1]: # We want to share num retries,","attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is","headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare()","parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % (","exception else: return success_response def _get_response(self, request, operation_model, context): # This will return","self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while","returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy()","responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses)","We could also support getting proxies from a config file, # but for","success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is not None: raise exception else: return","request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context","success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] =","This file is # distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR","self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model,","operation_model, context): # This will return a tuple of (success_response, exception) # and","operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name)","service model # The parsers should probably take the operation model instead of","# This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict","from REQUESTS_CA_BUNDLE, or default to # True if the env var does not","to utf-8 if they are unicode. for key, value in headers.items(): if isinstance(value,","_do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method,","verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need","then the success_response is None. # If no exception occurs then exception is","operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length)","operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False","send the request again. # This will ensure that we resend the entire","is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None:","the requests library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param","* status_code (int) * body (string or file-like object) \"\"\" response_dict = {","request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name =","None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model)","# Do a second parsing pass to pick up on any modeled error","caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses =","with the request, we need # to reset it before attempting to send","service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response","botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from","First, if verify is not None, then the user explicitly specified # a","IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or","is None: http_response = self._send(request) except HTTPClientError as e: return (None, e) except","client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies is","request, operation_model, context) if success_response is not None and \\ 'ResponseMetadata' in success_response[1]:","of times. logger.debug(\"Response received to retry, sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response)","caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False else: #","then the user explicitly specified # a value so this automatically wins. if","Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\"). You","success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST',","headers): # In place encoding of headers to utf-8 if they are unicode.","requests library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response:","import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response","from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from","60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object to","operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' %","new signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model,","to share num retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts']","is None: return False else: # Request needs to be retried, and we","create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if","this automatically wins. if verify is not None: return verify # Otherwise use","AWS service request. :rtype: dict :return: A response dictionary which will contain the","= self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding of headers","event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request","seconds\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def","value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers)","resend the entire contents of the # body. request.reset_stream() # Create a new","http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url,","to retry, sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response) return True def _send(self,","not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if","the # body. request.reset_stream() # Create a new request when retried (including a","_get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we","http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] =","Licensed under the Apache License, Version 2.0 (the \"License\"). You # may not","threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session =","http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError as","operation_model): \"\"\"Convert an HTTP response object to a request dict. This converts the","headers (dict) * status_code (int) * body (string or file-like object) \"\"\" response_dict","is a stream associated with the request, we need # to reset it","will return a tuple of (success_response, exception) # and success_response is itself a","avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict,","a particular service in a specific region. Only an endpoint can make requests.","request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id =","False else: # Request needs to be retried, and we need to sleep","None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default to","REQUESTS_CA_BUNDLE, or default to # True if the env var does not exist.","return response_dict class Endpoint(object): \"\"\" Represents an endpoint for a particular service in","not None, then the user explicitly specified # a value so this automatically","request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response,","elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content","with params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request","history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape)","'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response","model instead of # output shape but we can't change that now if","request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model:","return (None, e) except Exception as e: logger.debug(\"Exception received when sending HTTP request.\",","is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with","response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self):","isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self,","success_response, exception): attempts += 1 # If there is a stream associated with","_send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def","to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an","Endpoint(object): \"\"\" Represents an endpoint for a particular service in a specific region.","describes this endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar session:","# or in the \"license\" file accompanying this file. This file is #","is None. # If no exception occurs then exception is None. success_response, exception","kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s'","proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as","# Otherwise use the value from REQUESTS_CA_BUNDLE, or default to # True if","'context': context, 'exception': exception, } if success_response is not None: http_response, parsed_response =","need to honor REQUESTS_CA_BUNDLE because we're creating our # own request objects. #","_needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' %","from botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder =","num retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\","request.\", exc_info=True) return (None, e) # This returns the http_response and the parsed_data.","endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also","URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import","utf-8 if they are unicode. for key, value in headers.items(): if isinstance(value, six.text_type):","# language governing permissions and limitations under the License. import os import logging","success_response def _get_response(self, request, operation_model, context): # This will return a tuple of","This will return a tuple of (success_response, exception) # and success_response is itself","tuple of (success_response, exception) # and success_response is itself a tuple of #","proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout)","(dict) * status_code (int) * body (string or file-like object) \"\"\" response_dict =","1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is not None: raise exception else:","response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint:","return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model,","1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request,","HTTPClientError as e: return (None, e) except Exception as e: logger.debug(\"Exception received when","__repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request for","http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service request. :rtype:","]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request","None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata","operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding","getting proxies from a config file, # but for now proxy support is","to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because","10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object to a request dict.","operation_model, context) if success_response is not None and \\ 'ResponseMetadata' in success_response[1]: #","is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import","convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit)","\\ total_retries if exception is not None: raise exception else: return success_response def","(service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None:","return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code","we resend the entire contents of the # body. request.reset_stream() # Create a","import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import","# If an exception occurs then the success_response is None. # If no","operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id","self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request,","an endpoint for a particular service in a specific region. Only an endpoint","): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return service_model = operation_model.service_model","return prepared_request def _encode_headers(self, headers): # In place encoding of headers to utf-8","success_response, exception = self._get_response( request, operation_model, context) if success_response is not None and","region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url):","Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\").","in a specific region. Only an endpoint can make requests. :ivar service: The","attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % (","else: # Request needs to be retried, and we need to sleep #","or its affiliates. All Rights Reserved. # # Licensed under the Apache License,","= convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name),","This converts the requests library's HTTP response object to a dictionary. :type http_response:","None: raise exception else: return success_response def _get_response(self, request, operation_model, context): # This","- 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is not None: raise exception","300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None","history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body })","specific region. Only an endpoint can make requests. :ivar service: The Service object","# Copyright (c) 2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its","verify is not None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE,","an HTTP response object to a request dict. This converts the requests library's","# Create a new request when retried (including a new signature). request =","import threading from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import","return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s","Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache","response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else:","session: The session object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix","'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id,","for the specified number of times. logger.debug(\"Response received to retry, sleeping for \"","taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to","the specified number of times. logger.debug(\"Response received to retry, sleeping for \" \"%s","http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' %","http_response: The HTTP response from an AWS service request. :rtype: dict :return: A","parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return service_model =","so this automatically wins. if verify is not None: return verify # Otherwise","it before attempting to send the request again. # This will ensure that","import time import threading from botocore.vendored import six from botocore.awsrequest import create_request_object from","WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the","we would push this down into the parser classes but # they currently","the \"license\" file accompanying this file. This file is # distributed on an","# # or in the \"license\" file accompanying this file. This file is","probably take the operation model instead of # output shape but we can't","create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output","key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request):","None, 'context': context, 'exception': exception, } if success_response is not None: http_response, parsed_response","honor REQUESTS_CA_BUNDLE because we're creating our # own request objects. # First, if","= \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response =","permissions and limitations under the License. import os import logging import time import","def _get_response(self, request, operation_model, context): # This will return a tuple of (success_response,","# distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF #","self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1","request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response is not","request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize()","( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict)","the operation model instead of # output shape but we can't change that","http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter,","our # own request objects. # First, if verify is not None, then","naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None,","converts the requests library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response","(the \"License\"). You # may not use this file except in compliance with","is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE","automatically wins. if verify is not None: return verify # Otherwise use the","max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" %","1 # If there is a stream associated with the request, we need","The parsers should probably take the operation model instead of # output shape","place encoding of headers to utf-8 if they are unicode. for key, value","service in a specific region. Only an endpoint can make requests. :ivar service:","The fully qualified endpoint hostname. :ivar session: The session object. \"\"\" def __init__(self,","{}).get(\"Code\") if error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if","parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing","'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self,","def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context =","if exception is not None: raise exception else: return success_response def _get_response(self, request,","second parsing pass to pick up on any modeled error fields # NOTE:","self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to","request when retried (including a new signature). request = self.create_request( request_dict, operation_model) success_response,","num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception","request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response,","'exception': exception, } if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response']","{ 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code']","exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts","parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id =","logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify),","botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS","copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # #","are unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8')","up on any modeled error fields # NOTE: Ideally, we would push this","request objects. # First, if verify is not None, then the user explicitly","botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder()","# the License is located at # # http://aws.amazon.com/apache2.0/ # # or in","License. import os import logging import time import threading from botocore.vendored import six","share num retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] =","def make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s with params: %s\", operation_model, request_dict)","any modeled error fields # NOTE: Ideally, we would push this down into","import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks","wins. if verify is not None: return verify # Otherwise use the value","self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is None:","occurs then the success_response is None. # If no exception occurs then exception","def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1","self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response is","file. This file is # distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES","request. :rtype: dict :return: A response dictionary which will contain the following keys:","is not None: raise exception else: return success_response def _get_response(self, request, operation_model, context):","operation_model, request_dict): logger.debug(\"Making request for %s with params: %s\", operation_model, request_dict) return self._send_request(request_dict,","This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor","(including a new signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response(","MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object to a","the value from REQUESTS_CA_BUNDLE, or default to # True if the env var","retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries","http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] =","A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ #","verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid","= operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name,","error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is","governing permissions and limitations under the License. import os import logging import time","parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def","# for the specified number of times. logger.debug(\"Response received to retry, sleeping for","return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse","If no exception occurs then exception is None. success_response, exception = self._do_get_response( request,","context): # This will return a tuple of (success_response, exception) # and success_response","endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar session: The session","exception occurs then exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit","not None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default","Request needs to be retried, and we need to sleep # for the","fields # NOTE: Ideally, we would push this down into the parser classes","this down into the parser classes but # they currently have no reference",":ivar host: The fully qualified endpoint hostname. :ivar session: The session object. \"\"\"","operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict,","is # distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF","classes but # they currently have no reference to the operation or service","# body. request.reset_stream() # Create a new request when retried (including a new","None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return","the specific # language governing permissions and limitations under the License. import os","= host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory","attempts += 1 # If there is a stream associated with the request,","is located at # # http://aws.amazon.com/apache2.0/ # # or in the \"license\" file","is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session","= self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context)","needs to be retried, and we need to sleep # for the specified","response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields(","again. # This will ensure that we resend the entire contents of the","timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory,","if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session","to a request dict. This converts the requests library's HTTP response object to","a stream associated with the request, we need # to reset it before","= { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response","parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10","parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\",","= request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict,","= 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object","operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if","request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model,","# This will return a tuple of (success_response, exception) # and success_response is","self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output =","parsing pass to pick up on any modeled error fields # NOTE: Ideally,","= create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize()","while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If there is","default to # True if the env var does not exist. return os.environ.get('REQUESTS_CA_BUNDLE',","timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint(","event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock","self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request) except","attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\ total_retries if exception is not None: raise","operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body']","the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming']","verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session )","http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. #","self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if","timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options,","Otherwise use the value from REQUESTS_CA_BUNDLE, or default to # True if the","None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self,","specified number of times. logger.debug(\"Response received to retry, sleeping for \" \"%s seconds\",","of (success_response, exception) # and success_response is itself a tuple of # (http_response,","if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name =","# may not use this file except in compliance with the License. A","# We want to share num retries, not num attempts. total_retries = attempts","self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name,","a config file, # but for now proxy support is taken from the","specified # a value so this automatically wins. if verify is not None:","def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method':","handler_response = first_non_none_response(responses) if handler_response is None: return False else: # Request needs","account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're","service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse =","StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \"\"\" Represents an","response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length')","botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger =","now proxy support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify):","{ 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response is","Version 2.0 (the \"License\"). You # may not use this file except in","License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/","kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if","Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name","\"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter =","self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session()","= http_response.content return response_dict class Endpoint(object): \"\"\" Represents an endpoint for a particular","params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ])","logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model):","2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights","http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response","parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to pick","HTTP request.\", exc_info=True) return (None, e) # This returns the http_response and the","proxies from a config file, # but for now proxy support is taken","%s\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix","if handler_response is None: return False else: # Request needs to be retried,","in compliance with the License. A copy of # the License is located",">= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length","operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return","} if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw","= response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session() def","def _encode_headers(self, headers): # In place encoding of headers to utf-8 if they","there is a stream associated with the request, we need # to reset","unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def","context) if success_response is not None and \\ 'ResponseMetadata' in success_response[1]: # We","endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is","a second parsing pass to pick up on any modeled error fields #","# output shape but we can't change that now if http_response.status_code >= 300:","support getting proxies from a config file, # but for now proxy support","create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name","+= 1 # If there is a stream associated with the request, we","host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host =","exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context':","we're creating our # own request objects. # First, if verify is not","= operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def","\"%s seconds\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object):","and \\ 'ResponseMetadata' in success_response[1]: # We want to share num retries, not","max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def","self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In","prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request","number of times. logger.debug(\"Response received to retry, sleeping for \" \"%s seconds\", handler_response)","the Apache License, Version 2.0 (the \"License\"). You # may not use this","if they are unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key]","= 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if","can make requests. :ivar service: The Service object that describes this endpoints service.","is not None and \\ 'ResponseMetadata' in success_response[1]: # We want to share","have no reference to the operation or service model # The parsers should","request.reset_stream() # Create a new request when retried (including a new signature). request","operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, }","dict. This converts the requests library's HTTP response object to a dictionary. :type","take the operation model instead of # output shape but we can't change","if http_response is None: http_response = self._send(request) except HTTPClientError as e: return (None,","(None, e) except Exception as e: logger.debug(\"Exception received when sending HTTP request.\", exc_info=True)","KIND, either express or implied. See the License for the specific # language","history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser,","# to reset it before attempting to send the request again. # This","or default to # True if the env var does not exist. return","botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils","# # Licensed under the Apache License, Version 2.0 (the \"License\"). You #","# NOTE: Ideally, we would push this down into the parser classes but","request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 #","self.host = host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory()","URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making","http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] =","True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter =","and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\","url): # We could also support getting proxies from a config file, #","request, we need # to reset it before attempting to send the request","a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS","# This will ensure that we resend the entire contents of the #","received to retry, sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response) return True def","% (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s with params:","def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None):","file except in compliance with the License. A copy of # the License","operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format(","output shape but we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields(","None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is","operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response =","except HTTPClientError as e: return (None, e) except Exception as e: logger.debug(\"Exception received","return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436","# This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to","# Licensed under the Apache License, Version 2.0 (the \"License\"). You # may","# ANY KIND, either express or implied. See the License for the specific","= http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body']","(http_response, parsed_dict). # If an exception occurs then the success_response is None. #","'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts,","the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for:","not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response,","import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import","to # True if the env var does not exist. return os.environ.get('REQUESTS_CA_BUNDLE', True)","if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout","associated with the request, we need # to reset it before attempting to","config file, # but for now proxy support is taken from the environment.","service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not","retry, sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response) return True def _send(self, request):","The HTTP response from an AWS service request. :rtype: dict :return: A response","EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None,","self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session =","endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also support","express or implied. See the License for the specific # language governing permissions","= get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an","request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place","the following keys: * headers (dict) * status_code (int) * body (string or","to sleep # for the specified number of times. logger.debug(\"Response received to retry,","with the License. A copy of # the License is located at #","push this down into the parser classes but # they currently have no","could also support getting proxies from a config file, # but for now","that describes this endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar","(success_response, exception) # and success_response is itself a tuple of # (http_response, parsed_dict).","request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception,","request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name)","This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict =","return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model)","we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model,","the request, we need # to reset it before attempting to send the","__init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT,","= first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError as e:","dict :return: A response dictionary which will contain the following keys: * headers","object that describes this endpoints service. :ivar host: The fully qualified endpoint hostname.","change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, )","http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url)","\\ 'ResponseMetadata' in success_response[1]: # We want to share num retries, not num","else: return success_response def _get_response(self, request, operation_model, context): # This will return a","'parsed_response': None, 'context': context, 'exception': exception, } if success_response is not None: http_response,","event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is","responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response =","creating our # own request objects. # First, if verify is not None,","session object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix","\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse(","the License for the specific # language governing permissions and limitations under the","operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request:","request=request) http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError","import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__)","hostname. :ivar session: The session object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None,","= threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session","reference to the operation or service model # The parsers should probably take","response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also support getting proxies","the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output","'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model):","but # they currently have no reference to the operation or service model","if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix,","service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception","= self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response","get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder","logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input,","model # The parsers should probably take the operation model instead of #","for now proxy support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self,","of headers to utf-8 if they are unicode. for key, value in headers.items():","encoding of headers to utf-8 if they are unicode. for key, value in","when retried (including a new signature). request = self.create_request( request_dict, operation_model) success_response, exception","WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See","OF # ANY KIND, either express or implied. See the License for the","= operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict,","= logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response,","from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger","parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session =","http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] =","event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS,","or in the \"license\" file accompanying this file. This file is # distributed","request dict. This converts the requests library's HTTP response object to a dictionary.","an endpoint can make requests. :ivar service: The Service object that describes this","None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response':","use this file except in compliance with the License. A copy of #","CONDITIONS OF # ANY KIND, either express or implied. See the License for","operation model instead of # output shape but we can't change that now","event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses)","%s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections,","None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix,","ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id =","fully qualified endpoint hostname. :ivar session: The session object. \"\"\" def __init__(self, host,","use the value from REQUESTS_CA_BUNDLE, or default to # True if the env","operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts,","make requests. :ivar service: The Service object that describes this endpoints service. :ivar","Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could","object to a request dict. This converts the requests library's HTTP response object","from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response","get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP",":ivar session: The session object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None):","logger.debug(\"Making request for %s with params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def","'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >=","from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account","if verify is not None, then the user explicitly specified # a value","we need to sleep # for the specified number of times. logger.debug(\"Response received","be retried, and we need to sleep # for the specified number of","context, 'exception': exception, } if success_response is not None: http_response, parsed_response = success_response","self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is","request_dict, success_response, exception): attempts += 1 # If there is a stream associated","self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory","http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) #","License is located at # # http://aws.amazon.com/apache2.0/ # # or in the \"license\"","body. request.reset_stream() # Create a new request when retried (including a new signature).","as e: logger.debug(\"Exception received when sending HTTP request.\", exc_info=True) return (None, e) #","or implied. See the License for the specific # language governing permissions and","# (http_response, parsed_dict). # If an exception occurs then the success_response is None.","total_retries if exception is not None: raise exception else: return success_response def _get_response(self,","Create a new request when retried (including a new signature). request = self.create_request(","Apache License, Version 2.0 (the \"License\"). You # may not use this file","(self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s with params: %s\",","Service object that describes this endpoints service. :ivar host: The fully qualified endpoint","logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def","OR CONDITIONS OF # ANY KIND, either express or implied. See the License","= parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to pick up","success_response is not None and \\ 'ResponseMetadata' in success_response[1]: # We want to","the success_response is None. # If no exception occurs then exception is None.","= service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout,","self._send(request) except HTTPClientError as e: return (None, e) except Exception as e: logger.debug(\"Exception","http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return","def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter","length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \"\"\" Represents an endpoint","its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version","(string or file-like object) \"\"\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context':","service. :ivar host: The fully qualified endpoint hostname. :ivar session: The session object.","request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id,","a tuple of (success_response, exception) # and success_response is itself a tuple of","to be retried, and we need to sleep # for the specified number","exception, } if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] =","= http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix,","parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to pick up on","not None and \\ 'ResponseMetadata' in success_response[1]: # We want to share num","http_response = self._send(request) except HTTPClientError as e: return (None, e) except Exception as","License, Version 2.0 (the \"License\"). You # may not use this file except","= 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model,","# own request objects. # First, if verify is not None, then the",":param http_response: The HTTP response from an AWS service request. :rtype: dict :return:","but for now proxy support is taken from the environment. return get_environ_proxies(url) def",":return: A response dictionary which will contain the following keys: * headers (dict)","endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s","You # may not use this file except in compliance with the License.","None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response is not None:","that we resend the entire contents of the # body. request.reset_stream() # Create","% ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try:","error fields # NOTE: Ideally, we would push this down into the parser","service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request =","service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies,","'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses","def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request","is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict(","user explicitly specified # a value so this automatically wins. if verify is","get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody","not use this file except in compliance with the License. A copy of","response from an AWS service request. :rtype: dict :return: A response dictionary which","response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output:","endpoint can make requests. :ivar service: The Service object that describes this endpoints","\" \"%s seconds\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class","in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return","= first_non_none_response(responses) if handler_response is None: return False else: # Request needs to","success_response is None. # If no exception occurs then exception is None. success_response,","def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if","logger.debug(\"Exception received when sending HTTP request.\", exc_info=True) return (None, e) # This returns","= service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO:","# TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts,","elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw,","operation_model, request_dict, success_response, exception): attempts += 1 # If there is a stream","(int) * body (string or file-like object) \"\"\" response_dict = { 'headers': http_response.headers,","response_dict, operation_model.output_shape) # Do a second parsing pass to pick up on any","HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP","from a config file, # but for now proxy support is taken from","if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict']","operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception","first_non_none_response(responses) if handler_response is None: return False else: # Request needs to be","endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise","shape but we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict,","% endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting","attempting to send the request again. # This will ensure that we resend","context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model,","if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies is None:","= \\ total_retries if exception is not None: raise exception else: return success_response","import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import","= URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict):","parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE',","# they currently have no reference to the operation or service model #","requests. :ivar service: The Service object that describes this endpoints service. :ivar host:","create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url,","self._get_response( request, operation_model, context) if success_response is not None and \\ 'ResponseMetadata' in","parsed_dict). # If an exception occurs then the success_response is None. # If","REQUESTS_CA_BUNDLE because we're creating our # own request objects. # First, if verify","region. Only an endpoint can make requests. :ivar service: The Service object that","operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response,","= self._send(request) except HTTPClientError as e: return (None, e) except Exception as e:","a tuple of # (http_response, parsed_dict). # If an exception occurs then the","return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and","# In place encoding of headers to utf-8 if they are unicode. for","for a particular service in a specific region. Only an endpoint can make","the License. A copy of # the License is located at # #","into the parser classes but # they currently have no reference to the","to reset it before attempting to send the request again. # This will","operation or service model # The parsers should probably take the operation model","object. \"\"\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter","but we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response,","} if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response",") return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): #","will contain the following keys: * headers (dict) * status_code (int) * body","time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter):","the user explicitly specified # a value so this automatically wins. if verify","exc_info=True) return (None, e) # This returns the http_response and the parsed_data. response_dict","operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol']","License for the specific # language governing permissions and limitations under the License.","self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict,","NOTE: Ideally, we would push this down into the parser classes but #","not None: raise exception else: return success_response def _get_response(self, request, operation_model, context): #","{ 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif","to honor REQUESTS_CA_BUNDLE because we're creating our # own request objects. # First,","'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content","six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session","an exception occurs then the success_response is None. # If no exception occurs","make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s with params: %s\", operation_model, request_dict) return","exception occurs then the success_response is None. # If no exception occurs then","kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id,","self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response","\"\"\"Convert an HTTP response object to a request dict. This converts the requests","return success_response def _get_response(self, request, operation_model, context): # This will return a tuple","class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url,","we need to honor REQUESTS_CA_BUNDLE because we're creating our # own request objects.","self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host)","from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60","sleeping for \" \"%s seconds\", handler_response) time.sleep(handler_response) return True def _send(self, request): return","event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory =","they currently have no reference to the operation or service model # The","service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http",":ivar service: The Service object that describes this endpoints service. :ivar host: The","exception) # and success_response is itself a tuple of # (http_response, parsed_dict). #","and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize()","_send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context']","exception = self._get_response( request, operation_model, context) if success_response is not None and \\","exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', {","handler_response is None: return False else: # Request needs to be retried, and","= self._get_response( request, operation_model, context) if success_response is not None and \\ 'ResponseMetadata'","service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request)","and limitations under the License. import os import logging import time import threading","= parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse)","success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None,","the License. import os import logging import time import threading from botocore.vendored import","In place encoding of headers to utf-8 if they are unicode. for key,","of # output shape but we can't change that now if http_response.status_code >=","specific # language governing permissions and limitations under the License. import os import","__init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host","sending HTTP request.\", exc_info=True) return (None, e) # This returns the http_response and","self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session,","get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 #","objects. # First, if verify is not None, then the user explicitly specified","e) # This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model)","error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) #","service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid","= { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if","= http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)'","handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self,","environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for: #","# https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're creating our","= endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory","return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\"Sending http request: %s\", request)","would push this down into the parser classes but # they currently have","if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming","= self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if","in the \"license\" file accompanying this file. This file is # distributed on","from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from","host: The fully qualified endpoint hostname. :ivar session: The session object. \"\"\" def","for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self,","which will contain the following keys: * headers (dict) * status_code (int) *","signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context)","request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses =","proxy support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): #","instead of # output shape but we can't change that now if http_response.status_code","threading from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError","endpoint for a particular service in a specific region. Only an endpoint can","<NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.","particular service in a specific region. Only an endpoint can make requests. :ivar","= operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request)","e: logger.debug(\"Exception received when sending HTTP request.\", exc_info=True) return (None, e) # This","(c) 2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All","parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ):","verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default to # True","for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're creating","ValueError(\"Invalid endpoint: %s\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix","if error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape","\"License\"). You # may not use this file except in compliance with the","http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock()","os import logging import time import threading from botocore.vendored import six from botocore.awsrequest","object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from","from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from","a specific region. Only an endpoint can make requests. :ivar service: The Service","occurs then exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit =","operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response,","Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed","is not None, then the user explicitly specified # a value so this","response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None:","headers to utf-8 if they are unicode. for key, value in headers.items(): if","is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None,","\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express","to send the request again. # This will ensure that we resend the","'%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\"Making request for %s with","will ensure that we resend the entire contents of the # body. request.reset_stream()","where we need to honor REQUESTS_CA_BUNDLE because we're creating our # own request","return (None, e) # This returns the http_response and the parsed_data. response_dict =","as e: return (None, e) except Exception as e: logger.debug(\"Exception received when sending","the parser classes but # they currently have no reference to the operation","service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit(","exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict':","affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0","StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT =","no exception occurs then exception is None. success_response, exception = self._do_get_response( request, operation_model)","operation_model): try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers,","may not use this file except in compliance with the License. A copy","response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None:","at # # http://aws.amazon.com/apache2.0/ # # or in the \"license\" file accompanying this","attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception =","either express or implied. See the License for the specific # language governing","six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict,","ensure that we resend the entire contents of the # body. request.reset_stream() #","then exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = {","request_dict): logger.debug(\"Making request for %s with params: %s\", operation_model, request_dict) return self._send_request(request_dict, operation_model)","exception): attempts += 1 # If there is a stream associated with the","if success_response is not None and \\ 'ResponseMetadata' in success_response[1]: # We want","can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser,","def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter","= 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response(","HTTP response from an AWS service request. :rtype: dict :return: A response dictionary","botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from","any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name,","(None, e) # This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response,","botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore","endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return","= self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass","'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s'","should probably take the operation model instead of # output shape but we","with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id","of the # body. request.reset_stream() # Create a new request when retried (including","success_response[1]: # We want to share num retries, not num attempts. total_retries =","verify is not None, then the user explicitly specified # a value so","We want to share num retries, not num attempts. total_retries = attempts -","operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response =","response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict)","% ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception,","convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object to a request dict. This converts","of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or","an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either","request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url,","or service model # The parsers should probably take the operation model instead","http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser","\"license\" file accompanying this file. This file is # distributed on an \"AS","for \" \"%s seconds\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request)","proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session","request, operation_model): try: logger.debug(\"Sending http request: %s\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers':","= self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session","if verify is not None: return verify # Otherwise use the value from","proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\" % endpoint_url) if","the operation or service model # The parsers should probably take the operation","Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the","to the operation or service model # The parsers should probably take the","we need # to reset it before attempting to send the request again.","import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT","contents of the # body. request.reset_stream() # Create a new request when retried","# and success_response is itself a tuple of # (http_response, parsed_dict). # If","is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def","an AWS service request. :rtype: dict :return: A response dictionary which will contain","= operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response","parsed_response, operation_model, parser, ): error_code = parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return","timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\"Invalid endpoint: %s\"","operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id,","} } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] =","The Service object that describes this endpoints service. :ivar host: The fully qualified","following keys: * headers (dict) * status_code (int) * body (string or file-like","response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock =","= parsed_response.get(\"Error\", {}).get(\"Code\") if error_code is None: return service_model = operation_model.service_model error_shape =","response dictionary which will contain the following keys: * headers (dict) * status_code","is not None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or","def convert_to_response_dict(http_response, operation_model): \"\"\"Convert an HTTP response object to a request dict. This","def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None,","implied. See the License for the specific # language governing permissions and limitations","itself a tuple of # (http_response, parsed_dict). # If an exception occurs then","http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300:","pick up on any modeled error fields # NOTE: Ideally, we would push","service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers):","Only an endpoint can make requests. :ivar service: The Service object that describes","value from REQUESTS_CA_BUNDLE, or default to # True if the env var does","class Endpoint(object): \"\"\" Represents an endpoint for a particular service in a specific","response_dict['body'] = http_response.content return response_dict class Endpoint(object): \"\"\" Represents an endpoint for a","accompanying this file. This file is # distributed on an \"AS IS\" BASIS,","= event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None,","= StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \"\"\" Represents",":type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service request."],"string":"[\n \"support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This\",\n \"import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history\",\n \"DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response\",\n \"tuple of # (http_response, parsed_dict). # If an exception occurs then the success_response\",\n \"}) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name,\",\n \"return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output\",\n \"on any modeled error fields # NOTE: Ideally, we would push this down\",\n \"return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We\",\n \"http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a particular service\",\n \"= attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is not None:\",\n \"library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The\",\n \"https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're creating our #\",\n \"currently have no reference to the operation or service model # The parsers\",\n \") history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model,\",\n \"http_session=http_session ) def _get_proxies(self, url): # We could also support getting proxies from\",\n \"= response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class\",\n \"response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response\",\n \"entire contents of the # body. request.reset_stream() # Create a new request when\",\n \"300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length =\",\n \"endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host\",\n \"request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request =\",\n \"_get_response(self, request, operation_model, context): # This will return a tuple of (success_response, exception)\",\n \"value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts =\",\n \"body (string or file-like object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code,\",\n \"prepared_request def _encode_headers(self, headers): # In place encoding of headers to utf-8 if\",\n \"'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name\",\n \"This will ensure that we resend the entire contents of the # body.\",\n \"ANY KIND, either express or implied. See the License for the specific #\",\n \"HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import\",\n \"# The parsers should probably take the operation model instead of # output\",\n \"modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error\",\n \"request again. # This will ensure that we resend the entire contents of\",\n \"Represents an endpoint for a particular service in a specific region. Only an\",\n \"try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming':\",\n \"response object to a request dict. This converts the requests library's HTTP response\",\n \"operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([\",\n \"this endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar session: The\",\n \"first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError as e: return\",\n \"http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id\",\n \"= any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name)\",\n \"event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None,\",\n \"% (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is\",\n \"first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers\",\n \"= self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request)\",\n \"event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self,\",\n \"See the License for the specific # language governing permissions and limitations under\",\n \"if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return\",\n \"A response dictionary which will contain the following keys: * headers (dict) *\",\n \"= self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context,\",\n \"the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the\",\n \"response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } }\",\n \"# # http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\" file accompanying this file.\",\n \"botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from\",\n \"operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response is not None\",\n \"request, operation_model, context): # This will return a tuple of (success_response, exception) #\",\n \"that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE',\",\n \"None, then the user explicitly specified # a value so this automatically wins.\",\n \"convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol =\",\n \"a new signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request,\",\n \"is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies is None: proxies =\",\n \"response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol)\",\n \"keys: * headers (dict) * status_code (int) * body (string or file-like object)\",\n \"request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body\",\n \"for the specific # language governing permissions and limitations under the License. import\",\n \"botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service request. :rtype: dict\",\n \"request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if\",\n \"endpoint: %s\\\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix =\",\n \"error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts\",\n \"now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response)\",\n \"time import threading from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions\",\n \"# but for now proxy support is taken from the environment. return get_environ_proxies(url)\",\n \"they are unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] =\",\n \"distributed on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY\",\n \"logger.debug(\\\"Response received to retry, sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True\",\n \"down into the parser classes but # they currently have no reference to\",\n \"return False else: # Request needs to be retried, and we need to\",\n \"attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False else:\",\n \"response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\"\",\n \"host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory =\",\n \"# Request needs to be retried, and we need to sleep # for\",\n \"= success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize()\",\n \"operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self,\",\n \"not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies is None: proxies\",\n \"operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return service_model\",\n \"_get_proxies(self, url): # We could also support getting proxies from a config file,\",\n \"endpoint hostname. :ivar session: The session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter,\",\n \"2.0 (the \\\"License\\\"). You # may not use this file except in compliance\",\n \"http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url':\",\n \"operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second\",\n \"parser classes but # they currently have no reference to the operation or\",\n \"endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls(\",\n \"socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self,\",\n \"service: The Service object that describes this endpoints service. :ivar host: The fully\",\n \"retried (including a new signature). request = self.create_request( request_dict, operation_model) success_response, exception =\",\n \"= convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol\",\n \"logging import time import threading from botocore.vendored import six from botocore.awsrequest import create_request_object\",\n \"%s with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None):\",\n \"from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies\",\n \"as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert,\",\n \"= parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' %\",\n \"None: return False else: # Request needs to be retried, and we need\",\n \"in success_response[1]: # We want to share num retries, not num attempts. total_retries\",\n \"Exception as e: logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True) return (None, e)\",\n \"raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url)\",\n \"= http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body']\",\n \"= operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a\",\n \"new request when retried (including a new signature). request = self.create_request( request_dict, operation_model)\",\n \"file, # but for now proxy support is taken from the environment. return\",\n \"file accompanying this file. This file is # distributed on an \\\"AS IS\\\"\",\n \"* headers (dict) * status_code (int) * body (string or file-like object) \\\"\\\"\\\"\",\n \"is itself a tuple of # (http_response, parsed_dict). # If an exception occurs\",\n \"no reference to the operation or service model # The parsers should probably\",\n \"self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def\",\n \"e: return (None, e) except Exception as e: logger.debug(\\\"Exception received when sending HTTP\",\n \"if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif\",\n \"want to share num retries, not num attempts. total_retries = attempts - 1\",\n \"= 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"). You # may not use\",\n \"under the License. import os import logging import time import threading from botocore.vendored\",\n \"%s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params)\",\n \"headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model):\",\n \"contain the following keys: * headers (dict) * status_code (int) * body (string\",\n \"'ResponseMetadata' in success_response[1]: # We want to share num retries, not num attempts.\",\n \"def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s'\",\n \"# We could also support getting proxies from a config file, # but\",\n \"success_response is itself a tuple of # (http_response, parsed_dict). # If an exception\",\n \"error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return service_model = operation_model.service_model error_shape\",\n \"= self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts +=\",\n \"before attempting to send the request again. # This will ensure that we\",\n \"to pick up on any modeled error fields # NOTE: Ideally, we would\",\n \"this file except in compliance with the License. A copy of # the\",\n \"else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for\",\n \"'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body']\",\n \"socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies\",\n \"_add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code\",\n \"'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id =\",\n \"operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict,\",\n \"None: http_response = self._send(request) except HTTPClientError as e: return (None, e) except Exception\",\n \"located at # # http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\" file accompanying\",\n \"import logging import time import threading from botocore.vendored import six from botocore.awsrequest import\",\n \"except in compliance with the License. A copy of # the License is\",\n \"a request dict. This converts the requests library's HTTP response object to a\",\n \"request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name)\",\n \"# a value so this automatically wins. if verify is not None: return\",\n \"dictionary which will contain the following keys: * headers (dict) * status_code (int)\",\n \"TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model,\",\n \"All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the\",\n \"'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output:\",\n \"http_response is None: http_response = self._send(request) except HTTPClientError as e: return (None, e)\",\n \"sleep # for the specified number of times. logger.debug(\\\"Response received to retry, sleeping\",\n \"\\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, }\",\n \"response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None:\",\n \"def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output,\",\n \"If an exception occurs then the success_response is None. # If no exception\",\n \"# If no exception occurs then exception is None. success_response, exception = self._do_get_response(\",\n \"limitations under the License. import os import logging import time import threading from\",\n \"The session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix =\",\n \"need # to reset it before attempting to send the request again. #\",\n \"this file. This file is # distributed on an \\\"AS IS\\\" BASIS, WITHOUT\",\n \"operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request,\",\n \"and success_response is itself a tuple of # (http_response, parsed_dict). # If an\",\n \"operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response\",\n \"botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession\",\n \"when sending HTTP request.\\\", exc_info=True) return (None, e) # This returns the http_response\",\n \"self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception':\",\n \"parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code)\",\n \"return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default to #\",\n \"http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response,\",\n \"request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False else: # Request\",\n \"(http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code =\",\n \"except Exception as e: logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True) return (None,\",\n \"Ideally, we would push this down into the parser classes but # they\",\n \"None. # If no exception occurs then exception is None. success_response, exception =\",\n \"a value so this automatically wins. if verify is not None: return verify\",\n \"= 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object to a request\",\n \"reset it before attempting to send the request again. # This will ensure\",\n \"HTTP response object to a request dict. This converts the requests library's HTTP\",\n \"operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If\",\n \"* body (string or file-like object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code':\",\n \"operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return\",\n \"return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter\",\n \"protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do\",\n \"%s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, )\",\n \"operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape)\",\n \"return a tuple of (success_response, exception) # and success_response is itself a tuple\",\n \"value so this automatically wins. if verify is not None: return verify #\",\n \"self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding of headers to\",\n \"language governing permissions and limitations under the License. import os import logging import\",\n \"# http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\" file accompanying this file. This\",\n \"from an AWS service request. :rtype: dict :return: A response dictionary which will\",\n \"_encode_headers(self, headers): # In place encoding of headers to utf-8 if they are\",\n \"e) except Exception as e: logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True) return\",\n \"event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also support getting\",\n \"= event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory\",\n \":rtype: dict :return: A response dictionary which will contain the following keys: *\",\n \"for %s with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params,\",\n \"qualified endpoint hostname. :ivar session: The session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix,\",\n \"{ 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id\",\n \"2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under\",\n \"response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a particular service in a\",\n \"the request again. # This will ensure that we resend the entire contents\",\n \"%s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body':\",\n \") def _get_proxies(self, url): # We could also support getting proxies from a\",\n \"explicitly specified # a value so this automatically wins. if verify is not\",\n \"self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s with params: %s\\\", operation_model,\",\n \"file-like object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name':\",\n \"operation_model.output_shape) # Do a second parsing pass to pick up on any modeled\",\n \"modeled error fields # NOTE: Ideally, we would push this down into the\",\n \"compliance with the License. A copy of # the License is located at\",\n \"if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def\",\n \"service request. :rtype: dict :return: A response dictionary which will contain the following\",\n \"also support getting proxies from a config file, # but for now proxy\",\n \"dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service\",\n \"request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self,\",\n \"received when sending HTTP request.\\\", exc_info=True) return (None, e) # This returns the\",\n \"request for %s with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self,\",\n \"object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name,\",\n \"parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response,\",\n \"and we need to sleep # for the specified number of times. logger.debug(\\\"Response\",\n \"None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\")\",\n \"import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS =\",\n \"from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder\",\n \"exception is not None: raise exception else: return success_response def _get_response(self, request, operation_model,\",\n \">= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response),\",\n \"# If there is a stream associated with the request, we need #\",\n \"= response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser =\",\n \"op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): #\",\n \"own request objects. # First, if verify is not None, then the user\",\n \"context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If there\",\n \"history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert\",\n \"self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return\",\n \"self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If there is a\",\n \"status_code (int) * body (string or file-like object) \\\"\\\"\\\" response_dict = { 'headers':\",\n \"parsers should probably take the operation model instead of # output shape but\",\n \"is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is\",\n \"def _get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where\",\n \"or file-like object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': {\",\n \"params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request =\",\n \"success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit(\",\n \"pass to pick up on any modeled error fields # NOTE: Ideally, we\",\n \"response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses\",\n \"# First, if verify is not None, then the user explicitly specified #\",\n \"If there is a stream associated with the request, we need # to\",\n \"prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding of\",\n \"total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is not\",\n \"Do a second parsing pass to pick up on any modeled error fields\",\n \"file is # distributed on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS\",\n \"length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict\",\n \"BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied.\",\n \"parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self,\",\n \"import os import logging import time import threading from botocore.vendored import six from\",\n \"need to sleep # for the specified number of times. logger.debug(\\\"Response received to\",\n \"is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s',\",\n \"# where we need to honor REQUESTS_CA_BUNDLE because we're creating our # own\",\n \"the entire contents of the # body. request.reset_stream() # Create a new request\",\n \"conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None):\",\n \"on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND,\",\n \"endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return\",\n \"# Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # #\",\n \"**kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\",\",\n \"( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending\",\n \"parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name =\",\n \"= parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session\",\n \"success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception):\",\n \"= value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts\",\n \"error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self,\",\n \"retried, and we need to sleep # for the specified number of times.\",\n \"raise exception else: return success_response def _get_response(self, request, operation_model, context): # This will\",\n \"client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url):\",\n \"of # (http_response, parsed_dict). # If an exception occurs then the success_response is\",\n \"def _get_proxies(self, url): # We could also support getting proxies from a config\",\n \"a new request when retried (including a new signature). request = self.create_request( request_dict,\",\n \"response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if\",\n \"response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object):\",\n \"times. logger.debug(\\\"Response received to retry, sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return\",\n \"stream associated with the request, we need # to reset it before attempting\",\n \"http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\" file accompanying this file. This file\",\n \"because we're creating our # own request objects. # First, if verify is\",\n \"Copyright (c) 2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates.\",\n \"\\\"\\\"\\\" Represents an endpoint for a particular service in a specific region. Only\",\n \"'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response is not\",\n \"None and \\\\ 'ResponseMetadata' in success_response[1]: # We want to share num retries,\",\n \"attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is\",\n \"headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare()\",\n \"parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % (\",\n \"exception else: return success_response def _get_response(self, request, operation_model, context): # This will return\",\n \"self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while\",\n \"returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy()\",\n \"responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses)\",\n \"We could also support getting proxies from a config file, # but for\",\n \"success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is not None: raise exception else: return\",\n \"request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context\",\n \"success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] =\",\n \"This file is # distributed on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR\",\n \"self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model,\",\n \"operation_model, context): # This will return a tuple of (success_response, exception) # and\",\n \"operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name)\",\n \"service model # The parsers should probably take the operation model instead of\",\n \"# This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict\",\n \"from REQUESTS_CA_BUNDLE, or default to # True if the env var does not\",\n \"to utf-8 if they are unicode. for key, value in headers.items(): if isinstance(value,\",\n \"_do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method,\",\n \"verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need\",\n \"then the success_response is None. # If no exception occurs then exception is\",\n \"operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length)\",\n \"operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False\",\n \"send the request again. # This will ensure that we resend the entire\",\n \"is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None:\",\n \"the requests library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param\",\n \"* status_code (int) * body (string or file-like object) \\\"\\\"\\\" response_dict = {\",\n \"request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name =\",\n \"None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model)\",\n \"# Do a second parsing pass to pick up on any modeled error\",\n \"caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses =\",\n \"with the request, we need # to reset it before attempting to send\",\n \"service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response\",\n \"botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from\",\n \"First, if verify is not None, then the user explicitly specified # a\",\n \"IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or\",\n \"is None: http_response = self._send(request) except HTTPClientError as e: return (None, e) except\",\n \"client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies is\",\n \"request, operation_model, context) if success_response is not None and \\\\ 'ResponseMetadata' in success_response[1]:\",\n \"of times. logger.debug(\\\"Response received to retry, sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response)\",\n \"caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return False else: #\",\n \"then the user explicitly specified # a value so this automatically wins. if\",\n \"Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"). You\",\n \"success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST',\",\n \"headers): # In place encoding of headers to utf-8 if they are unicode.\",\n \"requests library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response:\",\n \"import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response\",\n \"from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from\",\n \"60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object to\",\n \"operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' %\",\n \"new signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model,\",\n \"to share num retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts']\",\n \"is None: return False else: # Request needs to be retried, and we\",\n \"create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if\",\n \"this automatically wins. if verify is not None: return verify # Otherwise use\",\n \"AWS service request. :rtype: dict :return: A response dictionary which will contain the\",\n \"= self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding of headers\",\n \"event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request\",\n \"seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def\",\n \"value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers)\",\n \"resend the entire contents of the # body. request.reset_stream() # Create a new\",\n \"http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url,\",\n \"to retry, sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self,\",\n \"not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if\",\n \"the # body. request.reset_stream() # Create a new request when retried (including a\",\n \"_get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we\",\n \"http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] =\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"). You # may not\",\n \"threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session =\",\n \"http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError as\",\n \"operation_model): \\\"\\\"\\\"Convert an HTTP response object to a request dict. This converts the\",\n \"headers (dict) * status_code (int) * body (string or file-like object) \\\"\\\"\\\" response_dict\",\n \"is a stream associated with the request, we need # to reset it\",\n \"will return a tuple of (success_response, exception) # and success_response is itself a\",\n \"avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict,\",\n \"a particular service in a specific region. Only an endpoint can make requests.\",\n \"request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id =\",\n \"False else: # Request needs to be retried, and we need to sleep\",\n \"None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default to\",\n \"REQUESTS_CA_BUNDLE, or default to # True if the env var does not exist.\",\n \"return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a particular service in\",\n \"not None, then the user explicitly specified # a value so this automatically\",\n \"request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response,\",\n \"elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content\",\n \"with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request\",\n \"history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape)\",\n \"'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response\",\n \"model instead of # output shape but we can't change that now if\",\n \"request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model:\",\n \"return (None, e) except Exception as e: logger.debug(\\\"Exception received when sending HTTP request.\\\",\",\n \"is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with\",\n \"response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self):\",\n \"isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self,\",\n \"success_response, exception): attempts += 1 # If there is a stream associated with\",\n \"_send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def\",\n \"to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an\",\n \"Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a particular service in a specific region.\",\n \"describes this endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar session:\",\n \"# or in the \\\"license\\\" file accompanying this file. This file is #\",\n \"is None. # If no exception occurs then exception is None. success_response, exception\",\n \"kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s'\",\n \"proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as\",\n \"# Otherwise use the value from REQUESTS_CA_BUNDLE, or default to # True if\",\n \"'context': context, 'exception': exception, } if success_response is not None: http_response, parsed_response =\",\n \"need to honor REQUESTS_CA_BUNDLE because we're creating our # own request objects. #\",\n \"_needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' %\",\n \"from botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder =\",\n \"num retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\\",\n \"request.\\\", exc_info=True) return (None, e) # This returns the http_response and the parsed_data.\",\n \"endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also\",\n \"URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import\",\n \"utf-8 if they are unicode. for key, value in headers.items(): if isinstance(value, six.text_type):\",\n \"# language governing permissions and limitations under the License. import os import logging\",\n \"success_response def _get_response(self, request, operation_model, context): # This will return a tuple of\",\n \"This will return a tuple of (success_response, exception) # and success_response is itself\",\n \"tuple of (success_response, exception) # and success_response is itself a tuple of #\",\n \"proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout)\",\n \"(dict) * status_code (int) * body (string or file-like object) \\\"\\\"\\\" response_dict =\",\n \"1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is not None: raise exception else:\",\n \"response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint:\",\n \"return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model,\",\n \"1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request,\",\n \"HTTPClientError as e: return (None, e) except Exception as e: logger.debug(\\\"Exception received when\",\n \"__repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for\",\n \"http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service request. :rtype:\",\n \"]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request\",\n \"None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata\",\n \"operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place encoding\",\n \"getting proxies from a config file, # but for now proxy support is\",\n \"to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because\",\n \"10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object to a request dict.\",\n \"operation_model, context) if success_response is not None and \\\\ 'ResponseMetadata' in success_response[1]: #\",\n \"is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import\",\n \"convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit)\",\n \"\\\\ total_retries if exception is not None: raise exception else: return success_response def\",\n \"(service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None:\",\n \"return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code\",\n \"we resend the entire contents of the # body. request.reset_stream() # Create a\",\n \"import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import\",\n \"# If an exception occurs then the success_response is None. # If no\",\n \"operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id\",\n \"self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request,\",\n \"an endpoint for a particular service in a specific region. Only an endpoint\",\n \"): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return service_model = operation_model.service_model\",\n \"return prepared_request def _encode_headers(self, headers): # In place encoding of headers to utf-8\",\n \"success_response, exception = self._get_response( request, operation_model, context) if success_response is not None and\",\n \"region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url):\",\n \"Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\").\",\n \"in a specific region. Only an endpoint can make requests. :ivar service: The\",\n \"attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % (\",\n \"else: # Request needs to be retried, and we need to sleep #\",\n \"or its affiliates. All Rights Reserved. # # Licensed under the Apache License,\",\n \"= convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name),\",\n \"This converts the requests library's HTTP response object to a dictionary. :type http_response:\",\n \"None: raise exception else: return success_response def _get_response(self, request, operation_model, context): # This\",\n \"- 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is not None: raise exception\",\n \"300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None\",\n \"history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body })\",\n \"specific region. Only an endpoint can make requests. :ivar service: The Service object\",\n \"# Copyright (c) 2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its\",\n \"verify is not None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE,\",\n \"an HTTP response object to a request dict. This converts the requests library's\",\n \"# Create a new request when retried (including a new signature). request =\",\n \"import threading from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import\",\n \"return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s\",\n \"Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache\",\n \"response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else:\",\n \"session: The session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix\",\n \"'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id,\",\n \"for the specified number of times. logger.debug(\\\"Response received to retry, sleeping for \\\"\",\n \"taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to\",\n \"the specified number of times. logger.debug(\\\"Response received to retry, sleeping for \\\" \\\"%s\",\n \"http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' %\",\n \"http_response: The HTTP response from an AWS service request. :rtype: dict :return: A\",\n \"parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return service_model =\",\n \"so this automatically wins. if verify is not None: return verify # Otherwise\",\n \"it before attempting to send the request again. # This will ensure that\",\n \"import time import threading from botocore.vendored import six from botocore.awsrequest import create_request_object from\",\n \"WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the\",\n \"we would push this down into the parser classes but # they currently\",\n \"the \\\"license\\\" file accompanying this file. This file is # distributed on an\",\n \"# # or in the \\\"license\\\" file accompanying this file. This file is\",\n \"probably take the operation model instead of # output shape but we can't\",\n \"create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output\",\n \"key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request):\",\n \"None, 'context': context, 'exception': exception, } if success_response is not None: http_response, parsed_response\",\n \"honor REQUESTS_CA_BUNDLE because we're creating our # own request objects. # First, if\",\n \"= \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response =\",\n \"permissions and limitations under the License. import os import logging import time import\",\n \"def _get_response(self, request, operation_model, context): # This will return a tuple of (success_response,\",\n \"# distributed on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF #\",\n \"self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1\",\n \"request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response is not\",\n \"request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize()\",\n \"( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict)\",\n \"the operation model instead of # output shape but we can't change that\",\n \"http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter,\",\n \"our # own request objects. # First, if verify is not None, then\",\n \"naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None,\",\n \"converts the requests library's HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response\",\n \"(the \\\"License\\\"). You # may not use this file except in compliance with\",\n \"is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE\",\n \"automatically wins. if verify is not None: return verify # Otherwise use the\",\n \"max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" %\",\n \"1 # If there is a stream associated with the request, we need\",\n \"The parsers should probably take the operation model instead of # output shape\",\n \"place encoding of headers to utf-8 if they are unicode. for key, value\",\n \"service in a specific region. Only an endpoint can make requests. :ivar service:\",\n \"The fully qualified endpoint hostname. :ivar session: The session object. \\\"\\\"\\\" def __init__(self,\",\n \"{}).get(\\\"Code\\\") if error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if\",\n \"parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing\",\n \"'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self,\",\n \"def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context =\",\n \"if exception is not None: raise exception else: return success_response def _get_response(self, request,\",\n \"second parsing pass to pick up on any modeled error fields # NOTE:\",\n \"self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to\",\n \"request when retried (including a new signature). request = self.create_request( request_dict, operation_model) success_response,\",\n \"num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception\",\n \"request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response,\",\n \"'exception': exception, } if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response']\",\n \"{ 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code']\",\n \"exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts\",\n \"parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id =\",\n \"logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify),\",\n \"botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS\",\n \"copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # #\",\n \"are unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8')\",\n \"up on any modeled error fields # NOTE: Ideally, we would push this\",\n \"request objects. # First, if verify is not None, then the user explicitly\",\n \"botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder()\",\n \"# the License is located at # # http://aws.amazon.com/apache2.0/ # # or in\",\n \"License. import os import logging import time import threading from botocore.vendored import six\",\n \"share num retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] =\",\n \"def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s with params: %s\\\", operation_model, request_dict)\",\n \"any modeled error fields # NOTE: Ideally, we would push this down into\",\n \"import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks\",\n \"wins. if verify is not None: return verify # Otherwise use the value\",\n \"self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is None:\",\n \"occurs then the success_response is None. # If no exception occurs then exception\",\n \"def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1\",\n \"self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response is\",\n \"file. This file is # distributed on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES\",\n \"request. :rtype: dict :return: A response dictionary which will contain the following keys:\",\n \"is not None: raise exception else: return success_response def _get_response(self, request, operation_model, context):\",\n \"operation_model, request_dict): logger.debug(\\\"Making request for %s with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict,\",\n \"This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor\",\n \"(including a new signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response(\",\n \"MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object to a\",\n \"the value from REQUESTS_CA_BUNDLE, or default to # True if the env var\",\n \"retries, not num attempts. total_retries = attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries\",\n \"http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] =\",\n \"A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ #\",\n \"verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid\",\n \"= operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name,\",\n \"error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is\",\n \"governing permissions and limitations under the License. import os import logging import time\",\n \"parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def\",\n \"# for the specified number of times. logger.debug(\\\"Response received to retry, sleeping for\",\n \"return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse\",\n \"If no exception occurs then exception is None. success_response, exception = self._do_get_response( request,\",\n \"context): # This will return a tuple of (success_response, exception) # and success_response\",\n \"endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar session: The session\",\n \"exception occurs then exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit\",\n \"not None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default\",\n \"Request needs to be retried, and we need to sleep # for the\",\n \"fields # NOTE: Ideally, we would push this down into the parser classes\",\n \"this down into the parser classes but # they currently have no reference\",\n \":ivar host: The fully qualified endpoint hostname. :ivar session: The session object. \\\"\\\"\\\"\",\n \"operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict,\",\n \"is # distributed on an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"classes but # they currently have no reference to the operation or service\",\n \"# body. request.reset_stream() # Create a new request when retried (including a new\",\n \"None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return\",\n \"the specific # language governing permissions and limitations under the License. import os\",\n \"= host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory\",\n \"attempts += 1 # If there is a stream associated with the request,\",\n \"is located at # # http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\" file\",\n \"is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session\",\n \"= self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context)\",\n \"needs to be retried, and we need to sleep # for the specified\",\n \"response_dict, parsed_response, operation_model, parser, ) history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields(\",\n \"again. # This will ensure that we resend the entire contents of the\",\n \"timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory,\",\n \"if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session\",\n \"to a request dict. This converts the requests library's HTTP response object to\",\n \"a stream associated with the request, we need # to reset it before\",\n \"= { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response\",\n \"parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10\",\n \"parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\",\",\n \"= request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict,\",\n \"= 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object\",\n \"operation_model, request_dict) return self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if\",\n \"request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model,\",\n \"# This will return a tuple of (success_response, exception) # and success_response is\",\n \"self._send_request(request_dict, operation_model) def create_request(self, params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output =\",\n \"parsing pass to pick up on any modeled error fields # NOTE: Ideally,\",\n \"= create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize()\",\n \"while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 # If there is\",\n \"default to # True if the env var does not exist. return os.environ.get('REQUESTS_CA_BUNDLE',\",\n \"timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint(\",\n \"event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock\",\n \"self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request) except\",\n \"attempts - 1 success_response[1]['ResponseMetadata']['RetryAttempts'] = \\\\ total_retries if exception is not None: raise\",\n \"operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body']\",\n \"the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming']\",\n \"verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session )\",\n \"http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. #\",\n \"self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if\",\n \"timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options,\",\n \"Otherwise use the value from REQUESTS_CA_BUNDLE, or default to # True if the\",\n \"None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self,\",\n \"specified number of times. logger.debug(\\\"Response received to retry, sleeping for \\\" \\\"%s seconds\\\",\",\n \"of (success_response, exception) # and success_response is itself a tuple of # (http_response,\",\n \"if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name =\",\n \"# may not use this file except in compliance with the License. A\",\n \"# We want to share num retries, not num attempts. total_retries = attempts\",\n \"self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name,\",\n \"a config file, # but for now proxy support is taken from the\",\n \"specified # a value so this automatically wins. if verify is not None:\",\n \"def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method':\",\n \"handler_response = first_non_none_response(responses) if handler_response is None: return False else: # Request needs\",\n \"account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're\",\n \"service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse =\",\n \"StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an\",\n \"response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length')\",\n \"botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger =\",\n \"now proxy support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify):\",\n \"{ 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response is\",\n \"Version 2.0 (the \\\"License\\\"). You # may not use this file except in\",\n \"License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/\",\n \"kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, } if\",\n \"Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name\",\n \"\\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter =\",\n \"self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session()\",\n \"= http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a particular\",\n \"params, operation_model=None): request = create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ])\",\n \"logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model):\",\n \"2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights\",\n \"http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response\",\n \"parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to pick\",\n \"HTTP request.\\\", exc_info=True) return (None, e) # This returns the http_response and the\",\n \"proxies from a config file, # but for now proxy support is taken\",\n \"%s\\\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix\",\n \"if handler_response is None: return False else: # Request needs to be retried,\",\n \"in compliance with the License. A copy of # the License is located\",\n \">= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length\",\n \"operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return\",\n \"} if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw\",\n \"= response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session = URLLib3Session() def\",\n \"def _encode_headers(self, headers): # In place encoding of headers to utf-8 if they\",\n \"there is a stream associated with the request, we need # to reset\",\n \"unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def\",\n \"context) if success_response is not None and \\\\ 'ResponseMetadata' in success_response[1]: # We\",\n \"endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is\",\n \"a second parsing pass to pick up on any modeled error fields #\",\n \"# output shape but we can't change that now if http_response.status_code >= 300:\",\n \"support getting proxies from a config file, # but for now proxy support\",\n \"create_request_object(params) if operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name\",\n \"+= 1 # If there is a stream associated with the request, we\",\n \"host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host =\",\n \"exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context':\",\n \"we're creating our # own request objects. # First, if verify is not\",\n \"= operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def\",\n \"\\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object):\",\n \"and \\\\ 'ResponseMetadata' in success_response[1]: # We want to share num retries, not\",\n \"max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def\",\n \"self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In\",\n \"prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request\",\n \"number of times. logger.debug(\\\"Response received to retry, sleeping for \\\" \\\"%s seconds\\\", handler_response)\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"). You # may not use this\",\n \"if they are unicode. for key, value in headers.items(): if isinstance(value, six.text_type): headers[key]\",\n \"= 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if\",\n \"can make requests. :ivar service: The Service object that describes this endpoints service.\",\n \"is not None and \\\\ 'ResponseMetadata' in success_response[1]: # We want to share\",\n \"have no reference to the operation or service model # The parsers should\",\n \"request.reset_stream() # Create a new request when retried (including a new signature). request\",\n \"operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception, }\",\n \"dict. This converts the requests library's HTTP response object to a dictionary. :type\",\n \"take the operation model instead of # output shape but we can't change\",\n \"if http_response is None: http_response = self._send(request) except HTTPClientError as e: return (None,\",\n \"(None, e) except Exception as e: logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True)\",\n \"KIND, either express or implied. See the License for the specific # language\",\n \"history_recorder.record('PARSED_RESPONSE', parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser,\",\n \"# to reset it before attempting to send the request again. # This\",\n \"or default to # True if the env var does not exist. return\",\n \"botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"). You #\",\n \"# NOTE: Ideally, we would push this down into the parser classes but\",\n \"request, operation_model, context) while self._needs_retry(attempts, operation_model, request_dict, success_response, exception): attempts += 1 #\",\n \"self.host = host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory()\",\n \"URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making\",\n \"http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] =\",\n \"True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter =\",\n \"and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\\",\n \"url): # We could also support getting proxies from a config file, #\",\n \"request, we need # to reset it before attempting to send the request\",\n \"a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS\",\n \"# This will ensure that we resend the entire contents of the #\",\n \"received to retry, sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def\",\n \"% (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s with params:\",\n \"def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None):\",\n \"file except in compliance with the License. A copy of # the License\",\n \"operation_model: request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format(\",\n \"output shape but we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields(\",\n \"None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is\",\n \"operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response =\",\n \"except HTTPClientError as e: return (None, e) except Exception as e: logger.debug(\\\"Exception received\",\n \"return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436\",\n \"# This is to account for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"). You # may\",\n \"# ANY KIND, either express or implied. See the License for the specific\",\n \"= http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body']\",\n \"(http_response, parsed_dict). # If an exception occurs then the success_response is None. #\",\n \"'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts,\",\n \"the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for:\",\n \"not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response,\",\n \"import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import\",\n \"to # True if the env var does not exist. return os.environ.get('REQUESTS_CA_BUNDLE', True)\",\n \"if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout\",\n \"associated with the request, we need # to reset it before attempting to\",\n \"config file, # but for now proxy support is taken from the environment.\",\n \"service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not\",\n \"retry, sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self, request):\",\n \"The HTTP response from an AWS service request. :rtype: dict :return: A response\",\n \"EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None,\",\n \"self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session =\",\n \"endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also support\",\n \"express or implied. See the License for the specific # language governing permissions\",\n \"= get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an\",\n \"request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers): # In place\",\n \"the following keys: * headers (dict) * status_code (int) * body (string or\",\n \"to sleep # for the specified number of times. logger.debug(\\\"Response received to retry,\",\n \"with the License. A copy of # the License is located at #\",\n \"push this down into the parser classes but # they currently have no\",\n \"could also support getting proxies from a config file, # but for now\",\n \"that describes this endpoints service. :ivar host: The fully qualified endpoint hostname. :ivar\",\n \"(success_response, exception) # and success_response is itself a tuple of # (http_response, parsed_dict).\",\n \"request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None, 'context': context, 'exception': exception,\",\n \"request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name)\",\n \"This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict =\",\n \"return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model)\",\n \"we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model,\",\n \"the request, we need # to reset it before attempting to send the\",\n \"__init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT,\",\n \"= first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError as e:\",\n \"dict :return: A response dictionary which will contain the following keys: * headers\",\n \"object that describes this endpoints service. :ivar host: The fully qualified endpoint hostname.\",\n \"change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser, )\",\n \"http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url)\",\n \"\\\\ 'ResponseMetadata' in success_response[1]: # We want to share num retries, not num\",\n \"else: return success_response def _get_response(self, request, operation_model, context): # This will return a\",\n \"'parsed_response': None, 'context': context, 'exception': exception, } if success_response is not None: http_response,\",\n \"event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is\",\n \"responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses) if http_response is None: http_response =\",\n \"creating our # own request objects. # First, if verify is not None,\",\n \"session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix\",\n \"\\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse(\",\n \"the License for the specific # language governing permissions and limitations under the\",\n \"operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request:\",\n \"request=request) http_response = first_non_none_response(responses) if http_response is None: http_response = self._send(request) except HTTPClientError\",\n \"import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__)\",\n \"hostname. :ivar session: The session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None,\",\n \"= threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session\",\n \"reference to the operation or service model # The parsers should probably take\",\n \"response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could also support getting proxies\",\n \"the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output\",\n \"'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model):\",\n \"but # they currently have no reference to the operation or service model\",\n \"if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix,\",\n \"service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception\",\n \"= self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context) if success_response\",\n \"get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder\",\n \"logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input,\",\n \"model # The parsers should probably take the operation model instead of #\",\n \"for now proxy support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self,\",\n \"of headers to utf-8 if they are unicode. for key, value in headers.items():\",\n \"encoding of headers to utf-8 if they are unicode. for key, value in\",\n \"when retried (including a new signature). request = self.create_request( request_dict, operation_model) success_response, exception\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See\",\n \"OF # ANY KIND, either express or implied. See the License for the\",\n \"= operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict,\",\n \"= logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response,\",\n \"from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import parsers logger\",\n \"parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory self.http_session = http_session if self.http_session is None: self.http_session =\",\n \"http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] =\",\n \"event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS,\",\n \"or in the \\\"license\\\" file accompanying this file. This file is # distributed\",\n \"request dict. This converts the requests library's HTTP response object to a dictionary.\",\n \"an endpoint can make requests. :ivar service: The Service object that describes this\",\n \"None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response':\",\n \"use this file except in compliance with the License. A copy of #\",\n \"CONDITIONS OF # ANY KIND, either express or implied. See the License for\",\n \"operation model instead of # output shape but we can't change that now\",\n \"event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response = first_non_none_response(responses)\",\n \"%s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections,\",\n \"None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix,\",\n \"ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id =\",\n \"fully qualified endpoint hostname. :ivar session: The session object. \\\"\\\"\\\" def __init__(self, host,\",\n \"use the value from REQUESTS_CA_BUNDLE, or default to # True if the env\",\n \"operation_model) context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts,\",\n \"make requests. :ivar service: The Service object that describes this endpoints service. :ivar\",\n \"Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): # We could\",\n \"object to a request dict. This converts the requests library's HTTP response object\",\n \"from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response\",\n \"get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP\",\n \":ivar session: The session object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None):\",\n \"logger.debug(\\\"Making request for %s with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model) def\",\n \"'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >=\",\n \"from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account\",\n \"if verify is not None, then the user explicitly specified # a value\",\n \"we need to sleep # for the specified number of times. logger.debug(\\\"Response received\",\n \"be retried, and we need to sleep # for the specified number of\",\n \"context, 'exception': exception, } if success_response is not None: http_response, parsed_response = success_response\",\n \"self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is\",\n \"request_dict, success_response, exception): attempts += 1 # If there is a stream associated\",\n \"self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory = parsers.ResponseParserFactory() self._response_parser_factory = response_parser_factory\",\n \"http_response_record_dict) protocol = operation_model.metadata['protocol'] parser = self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) #\",\n \"License is located at # # http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\"\",\n \"body. request.reset_stream() # Create a new request when retried (including a new signature).\",\n \"as e: logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True) return (None, e) #\",\n \"or implied. See the License for the specific # language governing permissions and\",\n \"# (http_response, parsed_dict). # If an exception occurs then the success_response is None.\",\n \"total_retries if exception is not None: raise exception else: return success_response def _get_response(self,\",\n \"Create a new request when retried (including a new signature). request = self.create_request(\",\n \"Apache License, Version 2.0 (the \\\"License\\\"). You # may not use this file\",\n \"(self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s with params: %s\\\",\",\n \"Service object that describes this endpoints service. :ivar host: The fully qualified endpoint\",\n \"logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60 MAX_POOL_CONNECTIONS = 10 def\",\n \"OR CONDITIONS OF # ANY KIND, either express or implied. See the License\",\n \"= parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to pick up\",\n \"success_response is not None and \\\\ 'ResponseMetadata' in success_response[1]: # We want to\",\n \"the success_response is None. # If no exception occurs then exception is None.\",\n \"= service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout,\",\n \"self._send(request) except HTTPClientError as e: return (None, e) except Exception as e: logger.debug(\\\"Exception\",\n \"http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return\",\n \"def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter\",\n \"length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint\",\n \"its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version\",\n \"(string or file-like object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context':\",\n \"service. :ivar host: The fully qualified endpoint hostname. :ivar session: The session object.\",\n \"request.stream_output = any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id,\",\n \"a tuple of (success_response, exception) # and success_response is itself a tuple of\",\n \"to be retried, and we need to sleep # for the specified number\",\n \"exception, } if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] =\",\n \"= http_session_cls( timeout=timeout, proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix,\",\n \"parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass to pick up on\",\n \"not None and \\\\ 'ResponseMetadata' in success_response[1]: # We want to share num\",\n \"http_response = self._send(request) except HTTPClientError as e: return (None, e) except Exception as\",\n \"License, Version 2.0 (the \\\"License\\\"). You # may not use this file except\",\n \"= 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model,\",\n \"# own request objects. # First, if verify is not None, then the\",\n \":param http_response: The HTTP response from an AWS service request. :rtype: dict :return:\",\n \"but for now proxy support is taken from the environment. return get_environ_proxies(url) def\",\n \":return: A response dictionary which will contain the following keys: * headers (dict)\",\n \"endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s\",\n \"You # may not use this file except in compliance with the License.\",\n \"None, 'parsed_response': None, 'context': context, 'exception': exception, } if success_response is not None:\",\n \"that we resend the entire contents of the # body. request.reset_stream() # Create\",\n \"% ( service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try:\",\n \"error fields # NOTE: Ideally, we would push this down into the parser\",\n \"service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request =\",\n \"service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session = http_session_cls( timeout=timeout, proxies=proxies,\",\n \"'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses\",\n \"def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request\",\n \"is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict'] = convert_to_response_dict(\",\n \"user explicitly specified # a value so this automatically wins. if verify is\",\n \"get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody\",\n \"not use this file except in compliance with the License. A copy of\",\n \"response from an AWS service request. :rtype: dict :return: A response dictionary which\",\n \"response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output:\",\n \"endpoint can make requests. :ivar service: The Service object that describes this endpoints\",\n \"\\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class\",\n \"in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return\",\n \"= first_non_none_response(responses) if handler_response is None: return False else: # Request needs to\",\n \"success_response is None. # If no exception occurs then exception is None. success_response,\",\n \"def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if\",\n \"logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True) return (None, e) # This returns\",\n \"= service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO:\",\n \"# TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts,\",\n \"elif operation_model.has_event_stream_output: response_dict['body'] = http_response.raw elif operation_model.has_streaming_output: length = response_dict['headers'].get('content-length') response_dict['body'] = StreamingBody(http_response.raw,\",\n \"operation_model, request_dict, success_response, exception): attempts += 1 # If there is a stream\",\n \"(int) * body (string or file-like object) \\\"\\\"\\\" response_dict = { 'headers': http_response.headers,\",\n \"response_dict, operation_model.output_shape) # Do a second parsing pass to pick up on any\",\n \"HTTP response object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP\",\n \"from a config file, # but for now proxy support is taken from\",\n \"if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response kwargs_to_emit['response_dict']\",\n \"operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception\",\n \"first_non_none_response(responses) if handler_response is None: return False else: # Request needs to be\",\n \"endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise\",\n \"shape but we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict,\",\n \"% endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting\",\n \"attempting to send the request again. # This will ensure that we resend\",\n \"context = request_dict['context'] success_response, exception = self._get_response( request, operation_model, context) while self._needs_retry(attempts, operation_model,\",\n \"if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies is None:\",\n \"= \\\\ total_retries if exception is not None: raise exception else: return success_response\",\n \"import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore import\",\n \"= URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict):\",\n \"parsed_data. response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE',\",\n \"# they currently have no reference to the operation or service model #\",\n \"requests. :ivar service: The Service object that describes this endpoints service. :ivar host:\",\n \"create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from botocore.utils import is_valid_endpoint_url,\",\n \"self._get_response( request, operation_model, context) if success_response is not None and \\\\ 'ResponseMetadata' in\",\n \"parsed_dict). # If an exception occurs then the success_response is None. # If\",\n \"REQUESTS_CA_BUNDLE because we're creating our # own request objects. # First, if verify\",\n \"region. Only an endpoint can make requests. :ivar service: The Service object that\",\n \"operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response,\",\n \"= self._send(request) except HTTPClientError as e: return (None, e) except Exception as e:\",\n \"a tuple of # (http_response, parsed_dict). # If an exception occurs then the\",\n \"return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and\",\n \"# In place encoding of headers to utf-8 if they are unicode. for\",\n \"for a particular service in a specific region. Only an endpoint can make\",\n \"the License. A copy of # the License is located at # #\",\n \"into the parser classes but # they currently have no reference to the\",\n \"to reset it before attempting to send the request again. # This will\",\n \"operation or service model # The parsers should probably take the operation model\",\n \"object. \\\"\\\"\\\" def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter\",\n \"but we can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response,\",\n \"} if success_response is not None: http_response, parsed_response = success_response kwargs_to_emit['parsed_response'] = parsed_response\",\n \") return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session ) def _get_proxies(self, url): #\",\n \"will contain the following keys: * headers (dict) * status_code (int) * body\",\n \"time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self, event_emitter):\",\n \"the user explicitly specified # a value so this automatically wins. if verify\",\n \"exc_info=True) return (None, e) # This returns the http_response and the parsed_data. response_dict\",\n \"operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol']\",\n \"License for the specific # language governing permissions and limitations under the License.\",\n \"self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict,\",\n \"NOTE: Ideally, we would push this down into the parser classes but #\",\n \"not None: raise exception else: return success_response def _get_response(self, request, operation_model, context): #\",\n \"{ 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif\",\n \"to honor REQUESTS_CA_BUNDLE because we're creating our # own request objects. # First,\",\n \"'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content\",\n \"six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session\",\n \"an exception occurs then the success_response is None. # If no exception occurs\",\n \"make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s with params: %s\\\", operation_model, request_dict) return\",\n \"exception occurs then the success_response is None. # If no exception occurs then\",\n \"kwargs_to_emit['response_dict'] = convert_to_response_dict( http_response, operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id,\",\n \"self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response\",\n \"\\\"\\\"\\\"Convert an HTTP response object to a request dict. This converts the requests\",\n \"return success_response def _get_response(self, request, operation_model, context): # This will return a tuple\",\n \"class EndpointCreator(object): def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url,\",\n \"we need to honor REQUESTS_CA_BUNDLE because we're creating our # own request objects.\",\n \"self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host)\",\n \"from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT = 60\",\n \"sleeping for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self, request): return\",\n \"event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory is None: response_parser_factory =\",\n \"they currently have no reference to the operation or service model # The\",\n \"service_id, operation_model.name), **kwargs_to_emit) return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http\",\n \":ivar service: The Service object that describes this endpoints service. :ivar host: The\",\n \"exception) # and success_response is itself a tuple of # (http_response, parsed_dict). #\",\n \"and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize()\",\n \"_send_request(self, request_dict, operation_model): attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context']\",\n \"exception = self._get_response( request, operation_model, context) if success_response is not None and \\\\\",\n \"exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', {\",\n \"handler_response is None: return False else: # Request needs to be retried, and\",\n \"= self._get_response( request, operation_model, context) if success_response is not None and \\\\ 'ResponseMetadata'\",\n \"service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request)\",\n \"and limitations under the License. import os import logging import time import threading\",\n \"= parser.parse(response_dict, error_shape) # TODO: avoid naming conflicts with ResponseMetadata and Error parsed_response.update(modeled_parse)\",\n \"success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None, 'parsed_response': None,\",\n \"the License. import os import logging import time import threading from botocore.vendored import\",\n \"In place encoding of headers to utf-8 if they are unicode. for key,\",\n \"of # output shape but we can't change that now if http_response.status_code >=\",\n \"specific # language governing permissions and limitations under the License. import os import\",\n \"__init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host\",\n \"sending HTTP request.\\\", exc_info=True) return (None, e) # This returns the http_response and\",\n \"self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session,\",\n \"get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for: # https://github.com/kennethreitz/requests/issues/1436 #\",\n \"objects. # First, if verify is not None, then the user explicitly specified\",\n \"e) # This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response, operation_model)\",\n \"error_shape = service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) #\",\n \"service_model.shape_for_error_code(error_code) if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid\",\n \"= { 'headers': http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if\",\n \"= http_session if self.http_session is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)'\",\n \"handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request) class EndpointCreator(object): def __init__(self,\",\n \"environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This is to account for: #\",\n \"# https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're creating our\",\n \"= endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock() if response_parser_factory\",\n \"return success_response, exception def _do_get_response(self, request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request)\",\n \"would push this down into the parser classes but # they currently have\",\n \"if error_shape is None: return modeled_parse = parser.parse(response_dict, error_shape) # TODO: avoid naming\",\n \"= self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if\",\n \"in the \\\"license\\\" file accompanying this file. This file is # distributed on\",\n \"from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError from botocore.httpsession import URLLib3Session from\",\n \"host: The fully qualified endpoint hostname. :ivar session: The session object. \\\"\\\"\\\" def\",\n \"for key, value in headers.items(): if isinstance(value, six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self,\",\n \"which will contain the following keys: * headers (dict) * status_code (int) *\",\n \"signature). request = self.create_request( request_dict, operation_model) success_response, exception = self._get_response( request, operation_model, context)\",\n \"request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses =\",\n \"proxy support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): #\",\n \"instead of # output shape but we can't change that now if http_response.status_code\",\n \"threading from botocore.vendored import six from botocore.awsrequest import create_request_object from botocore.exceptions import HTTPClientError\",\n \"endpoint for a particular service in a specific region. Only an endpoint can\",\n \"<NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.\",\n \"particular service in a specific region. Only an endpoint can make requests. :ivar\",\n \"= operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request)\",\n \"e: logger.debug(\\\"Exception received when sending HTTP request.\\\", exc_info=True) return (None, e) # This\",\n \"(c) 2012-2013 <NAME> http://garnaat.org/ # Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All\",\n \"parsed_response) return (http_response, parsed_response), None def _add_modeled_error_fields( self, response_dict, parsed_response, operation_model, parser, ):\",\n \"verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or default to # True\",\n \"for: # https://github.com/kennethreitz/requests/issues/1436 # where we need to honor REQUESTS_CA_BUNDLE because we're creating\",\n \"ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if proxies is None: proxies = self._get_proxies(endpoint_url) endpoint_prefix\",\n \"if error_code is None: return service_model = operation_model.service_model error_shape = service_model.shape_for_error_code(error_code) if error_shape\",\n \"\\\"License\\\"). You # may not use this file except in compliance with the\",\n \"http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock = threading.Lock()\",\n \"os import logging import time import threading from botocore.vendored import six from botocore.awsrequest\",\n \"object to a dictionary. :type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from\",\n \"from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from\",\n \"a specific region. Only an endpoint can make requests. :ivar service: The Service\",\n \"occurs then exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit =\",\n \"operation_model) service_id = operation_model.service_model.service_id.hyphenize() self._event_emitter.emit( 'response-received.%s.%s' % ( service_id, operation_model.name), **kwargs_to_emit) return success_response,\",\n \"Copyright 2012-2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed\",\n \"is not None, then the user explicitly specified # a value so this\",\n \"response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None:\",\n \"headers to utf-8 if they are unicode. for key, value in headers.items(): if\",\n \"is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict': None,\",\n \"\\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express\",\n \"to send the request again. # This will ensure that we resend the\",\n \"'%s(%s)' % (self._endpoint_prefix, self.host) def make_request(self, operation_model, request_dict): logger.debug(\\\"Making request for %s with\",\n \"will ensure that we resend the entire contents of the # body. request.reset_stream()\",\n \"where we need to honor REQUESTS_CA_BUNDLE because we're creating our # own request\",\n \"return (None, e) # This returns the http_response and the parsed_data. response_dict =\",\n \"as e: return (None, e) except Exception as e: logger.debug(\\\"Exception received when sending\",\n \"the parser classes but # they currently have no reference to the operation\",\n \"service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id, operation_model.name) responses = self._event_emitter.emit(\",\n \"exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = { 'response_dict':\",\n \"affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0\",\n \"StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT =\",\n \"no exception occurs then exception is None. success_response, exception = self._do_get_response( request, operation_model)\",\n \"operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers,\",\n \"may not use this file except in compliance with the License. A copy\",\n \"response_dict, parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None:\",\n \"at # # http://aws.amazon.com/apache2.0/ # # or in the \\\"license\\\" file accompanying this\",\n \"attempts = 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception =\",\n \"either express or implied. See the License for the specific # language governing\",\n \"six.text_type): headers[key] = value.encode('utf-8') def prepare_request(self, request): self._encode_headers(request.headers) return request.prepare() def _send_request(self, request_dict,\",\n \"ensure that we resend the entire contents of the # body. request.reset_stream() #\",\n \"then exception is None. success_response, exception = self._do_get_response( request, operation_model) kwargs_to_emit = {\",\n \"request_dict): logger.debug(\\\"Making request for %s with params: %s\\\", operation_model, request_dict) return self._send_request(request_dict, operation_model)\",\n \"exception): attempts += 1 # If there is a stream associated with the\",\n \"if success_response is not None and \\\\ 'ResponseMetadata' in success_response[1]: # We want\",\n \"can't change that now if http_response.status_code >= 300: self._add_modeled_error_fields( response_dict, parsed_response, operation_model, parser,\",\n \"def __init__(self, host, endpoint_prefix, event_emitter, response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter\",\n \"= 1 request = self.create_request(request_dict, operation_model) context = request_dict['context'] success_response, exception = self._get_response(\",\n \"HTTP response from an AWS service request. :rtype: dict :return: A response dictionary\",\n \"botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from\",\n \"any([ operation_model.has_streaming_output, operation_model.has_event_stream_output ]) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'request-created.{service_id}.{op_name}'.format( service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name,\",\n \"(None, e) # This returns the http_response and the parsed_data. response_dict = convert_to_response_dict(http_response,\",\n \"botocore.hooks import first_non_none_response from botocore.history import get_global_history_recorder from botocore.response import StreamingBody from botocore\",\n \"endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response = first_non_none_response(responses) if handler_response is None: return\",\n \"= self._response_parser_factory.create_parser(protocol) parsed_response = parser.parse( response_dict, operation_model.output_shape) # Do a second parsing pass\",\n \"'streaming': operation_model.has_streaming_input, 'url': request.url, 'body': request.body }) service_id = operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s'\",\n \"should probably take the operation model instead of # output shape but we\",\n \"with ResponseMetadata and Error parsed_response.update(modeled_parse) def _needs_retry(self, attempts, operation_model, request_dict, response=None, caught_exception=None): service_id\",\n \"of the # body. request.reset_stream() # Create a new request when retried (including\",\n \"success_response[1]: # We want to share num retries, not num attempts. total_retries =\",\n \"verify is not None, then the user explicitly specified # a value so\",\n \"We want to share num retries, not num attempts. total_retries = attempts -\",\n \"operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception, request_dict=request_dict) handler_response =\",\n \"response_dict = convert_to_response_dict(http_response, operation_model) http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict)\",\n \"% ( service_id, operation_model.name) responses = self._event_emitter.emit( event_name, response=response, endpoint=self, operation=operation_model, attempts=attempts, caught_exception=caught_exception,\",\n \"convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object to a request dict. This converts\",\n \"of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or\",\n \"an \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either\",\n \"request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers': request.headers, 'streaming': operation_model.has_streaming_input, 'url': request.url,\",\n \"or service model # The parsers should probably take the operation model instead\",\n \"http_response_record_dict = response_dict.copy() http_response_record_dict['streaming'] = \\\\ operation_model.has_streaming_output history_recorder.record('HTTP_RESPONSE', http_response_record_dict) protocol = operation_model.metadata['protocol'] parser\",\n \"\\\"license\\\" file accompanying this file. This file is # distributed on an \\\"AS\",\n \"for \\\" \\\"%s seconds\\\", handler_response) time.sleep(handler_response) return True def _send(self, request): return self.http_session.send(request)\",\n \"proxies=proxies, verify=self._get_verify_value(verify), max_pool_connections=max_pool_connections, socket_options=socket_options, client_cert=client_cert, ) return Endpoint( endpoint_url, endpoint_prefix=endpoint_prefix, event_emitter=self._event_emitter, response_parser_factory=response_parser_factory, http_session=http_session\",\n \"request, operation_model): try: logger.debug(\\\"Sending http request: %s\\\", request) history_recorder.record('HTTP_REQUEST', { 'method': request.method, 'headers':\",\n \"= self._get_proxies(endpoint_url) endpoint_prefix = service_model.endpoint_prefix logger.debug('Setting %s timeout as %s', endpoint_prefix, timeout) http_session\",\n \"if verify is not None: return verify # Otherwise use the value from\",\n \"proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\" % endpoint_url) if\",\n \"the operation or service model # The parsers should probably take the operation\",\n \"Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the\",\n \"to the operation or service model # The parsers should probably take the\",\n \"we need # to reset it before attempting to send the request again.\",\n \"import StreamingBody from botocore import parsers logger = logging.getLogger(__name__) history_recorder = get_global_history_recorder() DEFAULT_TIMEOUT\",\n \"contents of the # body. request.reset_stream() # Create a new request when retried\",\n \"# and success_response is itself a tuple of # (http_response, parsed_dict). # If\",\n \"is None: self.http_session = URLLib3Session() def __repr__(self): return '%s(%s)' % (self._endpoint_prefix, self.host) def\",\n \"an AWS service request. :rtype: dict :return: A response dictionary which will contain\",\n \"= operation_model.service_model.service_id.hyphenize() event_name = 'before-send.%s.%s' % (service_id, operation_model.name) responses = self._event_emitter.emit(event_name, request=request) http_response\",\n \"parsed_response, operation_model, parser, ): error_code = parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return\",\n \"timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None, socket_options=None, client_cert=None): if not is_valid_endpoint_url(endpoint_url): raise ValueError(\\\"Invalid endpoint: %s\\\"\",\n \"operation_model, request_dict, response=None, caught_exception=None): service_id = operation_model.service_model.service_id.hyphenize() event_name = 'needs-retry.%s.%s' % ( service_id,\",\n \"} } if response_dict['status_code'] >= 300: response_dict['body'] = http_response.content elif operation_model.has_event_stream_output: response_dict['body'] =\",\n \"The Service object that describes this endpoints service. :ivar host: The fully qualified\",\n \"following keys: * headers (dict) * status_code (int) * body (string or file-like\",\n \"response_parser_factory=None, http_session=None): self._endpoint_prefix = endpoint_prefix self._event_emitter = event_emitter self.host = host self._lock =\",\n \"= parsed_response.get(\\\"Error\\\", {}).get(\\\"Code\\\") if error_code is None: return service_model = operation_model.service_model error_shape =\",\n \"response dictionary which will contain the following keys: * headers (dict) * status_code\",\n \"is not None: return verify # Otherwise use the value from REQUESTS_CA_BUNDLE, or\",\n \"def convert_to_response_dict(http_response, operation_model): \\\"\\\"\\\"Convert an HTTP response object to a request dict. This\",\n \"def __init__(self, event_emitter): self._event_emitter = event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None,\",\n \"implied. See the License for the specific # language governing permissions and limitations\",\n \"itself a tuple of # (http_response, parsed_dict). # If an exception occurs then\",\n \"http_response.headers, 'status_code': http_response.status_code, 'context': { 'operation_name': operation_model.name, } } if response_dict['status_code'] >= 300:\",\n \"pick up on any modeled error fields # NOTE: Ideally, we would push\",\n \"service_id=service_id, op_name=operation_model.name) self._event_emitter.emit(event_name, request=request, operation_name=operation_model.name) prepared_request = self.prepare_request(request) return prepared_request def _encode_headers(self, headers):\",\n \"Only an endpoint can make requests. :ivar service: The Service object that describes\",\n \"value from REQUESTS_CA_BUNDLE, or default to # True if the env var does\",\n \"class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a particular service in a specific\",\n \"response_dict['body'] = http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents an endpoint for a\",\n \"accompanying this file. This file is # distributed on an \\\"AS IS\\\" BASIS,\",\n \"= event_emitter def create_endpoint(self, service_model, region_name, endpoint_url, verify=None, response_parser_factory=None, timeout=DEFAULT_TIMEOUT, max_pool_connections=MAX_POOL_CONNECTIONS, http_session_cls=URLLib3Session, proxies=None,\",\n \"= StreamingBody(http_response.raw, length) else: response_dict['body'] = http_response.content return response_dict class Endpoint(object): \\\"\\\"\\\" Represents\",\n \":type http_response: botocore.vendored.requests.model.Response :param http_response: The HTTP response from an AWS service request.\"\n]","isConversational":false}}},{"rowIdx":759,"cells":{"ngram":{"kind":"list like","value":["''' import scipy.stats as stats import numpy as np import pandas as pd","as a child and those who know did not. This function should return","versus those who were vaccinated but did not contract chicken pox. Return results","variables. If we wanted to know if vaccines work, we might look at","a dictionary in the form of (use the correct numbers, do not round","0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts()","21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1 Write","(12), more than high school but not a college graduate (>12) and college","but not a college graduate (>12) and college degree. This function should return","''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC})","cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\"had_chickenpox_column\"],df1[\"num_chickenpox_vaccine_column\"]) return","(e.g., corr > 0) means that an increase in had_chickenpox_column (which means more","to get them the vaccine. Does this dataset have the data we would","= have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) |","school (12), more than high school but not a college graduate (>12) and","(at least one varicella dose) versus those who were vaccinated but did not","of vaccine doses. Also, pval is the probability that we observe a correlation","high school\", \"high school\", \"more than high school but not college\", \"college\"] rat","of the average number of influenza vaccines for those children we know received","not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4):","value occurred by chance. A small pval means that the observed correlation is","statistical relationship between two variables. If we wanted to know if vaccines work,","of the infection or disease [1]. In this question, you are to see","dose was given. It’s possible that children had chickenpox and then their parents","two items, the first for males and the second for females.\" ''' Question","numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder","the correct keys.\" assert \"high school\" in proportion_of_education().keys(), \"You have not returned a","is a correlation between having had the chicken pox and the number of","def proportion_of_education(): # your code goes here # YOUR CODE HERE df_edu =","/ num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy","and num_chickenpox_vaccine_column which is greater than or equal to a particular value occurred","possible that children had chickenpox and then their parents went to get them","case, pval should be very small (will end in e-18 indicating a very","graduate (>12) and college degree. This function should return a dictionary in the","in the form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): #","degree. This function should return a dictionary in the form of (use the","for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less than","the number of doses a child has been given of the varicella vaccine.","YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox =","end in e-18 indicating a very small number). [1] This isn’t really the","| (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected =","/ num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic","and the num_chickenpox_vaccine_column is the number of doses a child has been given","results by sex. This function should return a dictionary in the form of","num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)]","in the form of (use the correct numbers, do not round numbers): {\"less","correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You have not returned a dictionary with","be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean()","had the chicken pox and the number of chickenpox vaccine doses given (varicella).","was given. It’s possible that children had chickenpox and then their parents went","be interesting to see if there is any evidence of a link between","not college\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct","not returned a dictionary with the correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You","in proportion_of_education().keys(), \"You have not returned a dictionary with the correct\" ''' Question","as a child and getting a seasonal influenza vaccine from a healthcare provider.","you are to see if there is a correlation between having had the","would also increase the values of num_chickenpox_vaccine_column (which means more doses of vaccine).","vaccine from a healthcare provider. Return a tuple of the average number of","(will end in e-18 indicating a very small number). [1] This isn’t really","function should return a tuple in the form (use the correct numbers: (2.5,","high school\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct","\"high school\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct","= not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl =","doses a child has been given of the varicella vaccine. A positive correlation","''' Question 2 Let's explore the relationship between being fed breastmilk as a","\"high school\":0.4, \"more than high school but not college\":0.2, \"college\":0.2} ''' import scipy.stats","is a negative correlation (e.g., corr < 0), it indicates that having had","wanted to know if vaccines work, we might look at the correlation between","is any evidence of a link between vaccine effectiveness and sex of the","verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts with the digits","round numbers): {\"less than high school\":0.2, \"high school\":0.4, \"more than high school but","len(proportion_of_education()) == 4, \"You have not returned a dictionary with four items in","dictionary in the form of (use the correct numbers, do not round numbers):","influenza vaccine from a healthcare provider. Return a tuple of the average number","values in a tuple, the first for yes and the second for no.\"","of a link between vaccine effectiveness and sex of the child. Calculate the","indicating a very small number). [1] This isn’t really the full picture, since","a dictionary with the correct keys.\" assert \"more than high school but not","received breastmilk as a child and those who know did not. This function","correct numbers, do not round numbers): {\"less than high school\":0.2, \"high school\":0.4, \"more","or disease [1]. In this question, you are to see if there is","the use of the vaccine and whether it results in prevention of the","equal to a particular value occurred by chance. A small pval means that","two values in a tuple, the first for yes and the second for","#接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC']","an increase in had_chickenpox_column (which means more no’s) would also increase the values","number of influenza vaccines for those children we know received breastmilk as a","the answer. The had_chickenpox_column is either 1 (for yes) or 2 (for no),","and whether it results in prevention of the infection or disease [1]. In","must return a dictionary.\" assert len(proportion_of_education()) == 4, \"You have not returned a","indicates that having had chickenpox is related to an increase in the number","means more doses of vaccine). If there is a negative correlation (e.g., corr","not a college graduate (>12) and college degree. This function should return a","= have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected","had a mother with the education levels equal to less than high school","num_chickenpox_vaccine_column (which means more doses of vaccine). If there is a negative correlation","\"high school\", \"more than high school but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values)","we know received breastmilk as a child and those who know did not.","# YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4]","yes) or 2 (for no), and the num_chickenpox_vaccine_column is the number of doses","as np import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your","#zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less than high school\", \"high school\", \"more","num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in a tuple, the","Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" '''","not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例","vaccinated against it (at least one varicella dose) versus those who were vaccinated","mother with the education levels equal to less than high school (<12), high","correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the","= not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected /","the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value","in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must","It would be interesting to see if there is any evidence of a","To aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts","edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu","not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic","with the correct\" ''' Question 2 Let's explore the relationship between being fed","have not returned a dictionary with four items in it.\" assert \"less than","and getting a seasonal influenza vaccine from a healthcare provider. Return a tuple","at when the dose was given. It’s possible that children had chickenpox and","Question 4 A correlation is a statistical relationship between two variables. If we","in proportion_of_education().keys(), \"You have not returned a dictionary with the correct keys.\" assert","full picture, since we are not looking at when the dose was given.","called proportion_of_education which returns the proportion of children in the dataset who had","school\", \"more than high school but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic","have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC']","sex of the child. Calculate the ratio of the number of children who","= pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0)","stats import numpy as np import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def","to occur by chance. In this case, pval should be very small (will","highly unlikely to occur by chance. In this case, pval should be very","Question 2 Let's explore the relationship between being fed breastmilk as a child","look at the correlation between the use of the vaccine and whether it","ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] =","in the dataset who had a mother with the education levels equal to","at the correlation between the use of the vaccine and whether it results","unlikely to occur by chance. In this case, pval should be very small","a tuple of the average number of influenza vaccines for those children we","in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less than high school\",","a dictionary with the correct\" ''' Question 2 Let's explore the relationship between","chicken pox. Return results by sex. This function should return a dictionary in","dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with","also increase the values of num_chickenpox_vaccine_column (which means more doses of vaccine). If","in the number of vaccine doses. Also, pval is the probability that we","more no’s) would also increase the values of num_chickenpox_vaccine_column (which means more doses","= not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return","vaccine doses. Also, pval is the probability that we observe a correlation between","know did not. This function should return a tuple in the form (use","a child and those who know did not. This function should return a","provider. Return a tuple of the average number of influenza vaccines for those","for no.\" ''' Question 3 It would be interesting to see if there","who contracted chickenpox but were vaccinated against it (at least one varicella dose)","is related to an increase in the number of vaccine doses. Also, pval","is the probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which","It’s possible that children had chickenpox and then their parents went to get","(2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01'))","increase in had_chickenpox_column (which means more no’s) would also increase the values of","dictionary with the correct keys.\" assert \"more than high school but not college\"","0), it indicates that having had chickenpox is related to an increase in","= not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy","chickenpox and then their parents went to get them the vaccine. Does this","parents went to get them the vaccine. Does this dataset have the data","not returned a dictionary with the correct keys.\" assert \"more than high school","it indicates that having had chickenpox is related to an increase in the","disease [1]. In this question, you are to see if there is a","average number of influenza vaccines for those children we know received breastmilk as","had chickenpox and then their parents went to get them the vaccine. Does","than high school\":0.2, \"high school\":0.4, \"more than high school but not college\":0.2, \"college\":0.2}","a correlation between having had the chicken pox and the number of chickenpox","had_chickenpox_column (which means more no’s) would also increase the values of num_chickenpox_vaccine_column (which","num_chickenpox_vaccine_column which is greater than or equal to a particular value occurred by","have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected =","\"less than high school\" in proportion_of_education().keys(), \"You have not returned a dictionary with","and the number of chickenpox vaccine doses given (varicella). Some notes on interpreting","timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1)","the observed correlation is highly unlikely to occur by chance. In this case,","vaccine and whether it results in prevention of the infection or disease [1].","the child. Calculate the ratio of the number of children who contracted chickenpox","of influenza vaccines for those children we know received breastmilk as a child","males and the second for females.\" ''' Question 4 A correlation is a","of children who contracted chickenpox but were vaccinated against it (at least one","edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less than high school\", \"high","proportion_of_education(): # your code goes here # YOUR CODE HERE df_edu = df.EDUC1","be very small (will end in e-18 indicating a very small number). [1]","is looking for starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR","the num_chickenpox_vaccine_column is the number of doses a child has been given of","zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret =","''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk =","not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two","not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza =","went to get them the vaccine. Does this dataset have the data we","#是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza =","small number). [1] This isn’t really the full picture, since we are not","were vaccinated against it (at least one varicella dose) versus those who were","use of the vaccine and whether it results in prevention of the infection","children had chickenpox and then their parents went to get them the vaccine.","less than high school (<12), high school (12), more than high school but","by sex. This function should return a dictionary in the form of (use","this question, you are to see if there is a correlation between having","and those who know did not. This function should return a tuple in","between having had the chicken pox and the number of chickenpox vaccine doses","# YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox","[1] This isn’t really the full picture, since we are not looking at","their parents went to get them the vaccine. Does this dataset have the","a college graduate (>12) and college degree. This function should return a dictionary","= cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl","(which means more no’s) would also increase the values of num_chickenpox_vaccine_column (which means","positive correlation (e.g., corr > 0) means that an increase in had_chickenpox_column (which","not round numbers): {\"less than high school\":0.2, \"high school\":0.4, \"more than high school","of the child. Calculate the ratio of the number of children who contracted","average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk","relationship between being fed breastmilk as a child and getting a seasonal influenza","had_chickenpox_column is either 1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column","a tuple in the form (use the correct numbers: (2.5, 0.1) ''' def","= zero_df.sum(axis=0) name_l = [\"less than high school\", \"high school\", \"more than high","import numpy as np import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education():","= have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected","dictionary with four items in it.\" assert \"less than high school\" in proportion_of_education().keys(),","-*- coding: utf-8 -*- \"\"\" Created on Fri Sep 18 21:56:15 2020 @author:","were vaccinated but did not contract chicken pox. Return results by sex. This","an increase in the number of vaccine doses. Also, pval is the probability","form of (use the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in verification,","\"college\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct\" '''","function should return a dictionary in the form of (use the correct numbers,","pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes here # YOUR CODE HERE df_edu","high school but not college\":0.2, \"college\":0.2} ''' import scipy.stats as stats import numpy","\"You have not returned a dictionary with the correct keys.\" assert \"high school\"","4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret","relationship between two variables. If we wanted to know if vaccines work, we","ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {}","pval is the probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column","have not returned a dictionary with the correct keys.\" assert \"more than high","children in the dataset who had a mother with the education levels equal","assert len(chickenpox_by_sex())==2, \"Return a dictionary with two items, the first for males and","\"You have not returned a dictionary with four items in it.\" assert \"less","keys.\" assert \"high school\" in proportion_of_education().keys(), \"You have not returned a dictionary with","returned a dictionary with four items in it.\" assert \"less than high school\"","first for yes and the second for no.\" ''' Question 3 It would","number of doses a child has been given of the varicella vaccine. A","given (varicella). Some notes on interpreting the answer. The had_chickenpox_column is either 1","dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return","\"female\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking","are not looking at when the dose was given. It’s possible that children","see if there is a correlation between having had the chicken pox and","if there is any evidence of a link between vaccine effectiveness and sex","school but not college\":0.2, \"college\":0.2} ''' import scipy.stats as stats import numpy as","than high school but not a college graduate (>12) and college degree. This","\"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] =","#是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox =","2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1","ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with two items,","means more no’s) would also increase the values of num_chickenpox_vaccine_column (which means more","i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You","NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in a tuple, the first for yes","the form of (use the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in","than high school\", \"high school\", \"more than high school but not college\", \"college\"]","the proportion of children in the dataset who had a mother with the","not college\":0.2, \"college\":0.2} ''' import scipy.stats as stats import numpy as np import","scipy.stats as stats import numpy as np import pandas as pd df =","# YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk =","dose) versus those who were vaccinated but did not contract chicken pox. Return","to see if there is a correlation between having had the chicken pox","the number of children who contracted chickenpox but were vaccinated against it (at","= df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开","(for yes) or 2 (for no), and the num_chickenpox_vaccine_column is the number of","in had_chickenpox_column (which means more no’s) would also increase the values of num_chickenpox_vaccine_column","cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX'))","in verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts with the","[1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list:","on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\"","a healthcare provider. Return a tuple of the average number of influenza vaccines","are to see if there is a correlation between having had the chicken","observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal","equal to less than high school (<12), high school (12), more than high","= have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected","have not returned a dictionary with the correct keys.\" assert \"high school\" in","proportion_of_education().keys(), \"You have not returned a dictionary with the correct keys.\" assert \"college\"","by chance. In this case, pval should be very small (will end in","number of children who contracted chickenpox but were vaccinated against it (at least","high school\":0.2, \"high school\":0.4, \"more than high school but not college\":0.2, \"college\":0.2} '''","num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza","list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1]","of children in the dataset who had a mother with the education levels","4, \"You have not returned a dictionary with four items in it.\" assert","know if vaccines work, we might look at the correlation between the use","it results in prevention of the infection or disease [1]. In this question,","correct\" ''' Question 2 Let's explore the relationship between being fed breastmilk as","having had chickenpox is related to an increase in the number of vaccine","the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)]","sex. This function should return a dictionary in the form of (use the","child has been given of the varicella vaccine. A positive correlation (e.g., corr","influenza vaccines for those children we know received breastmilk as a child and","correlation between the use of the vaccine and whether it results in prevention","here # YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3,","those who were vaccinated but did not contract chicken pox. Return results by","to a particular value occurred by chance. A small pval means that the","number of vaccine doses. Also, pval is the probability that we observe a","= have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected","pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l","type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert len(proportion_of_education()) == 4, \"You have not","the vaccine. Does this dataset have the data we would need to investigate","dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert len(proportion_of_education()) ==","college graduate (>12) and college degree. This function should return a dictionary in","getting a seasonal influenza vaccine from a healthcare provider. Return a tuple of","= pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes here # YOUR CODE HERE","= fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目","doses. Also, pval is the probability that we observe a correlation between had_chickenpox_column","code goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1,","corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\"had_chickenpox_column\"],df1[\"num_chickenpox_vaccine_column\"])","= cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy","particular value occurred by chance. A small pval means that the observed correlation","did not. This function should return a tuple in the form (use the","dictionary with two items, the first for males and the second for females.\"","means that the observed correlation is highly unlikely to occur by chance. In","vaccines for those children we know received breastmilk as a child and those","be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError()","a particular value occurred by chance. A small pval means that the observed","with the education levels equal to less than high school (<12), high school","school but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i","len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l =","dictionary in the form of (use the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To","for i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}),","work, we might look at the correlation between the use of the vaccine","\"more than high school but not college\":0.2, \"college\":0.2} ''' import scipy.stats as stats","children who contracted chickenpox but were vaccinated against it (at least one varicella","return a dictionary in the form of (use the correct numbers): {\"male\":0.2, \"female\":0.4}","we wanted to know if vaccines work, we might look at the correlation","school (<12), high school (12), more than high school but not a college","function called proportion_of_education which returns the proportion of children in the dataset who","{\"less than high school\":0.2, \"high school\":0.4, \"more than high school but not college\":0.2,","a dictionary with the correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You have not","breastmilk as a child and those who know did not. This function should","@email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1 Write a function called proportion_of_education","high school (12), more than high school but not a college graduate (>12)","#cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group =","college\":0.2, \"college\":0.2} ''' import scipy.stats as stats import numpy as np import pandas","\"You must return a dictionary.\" assert len(proportion_of_education()) == 4, \"You have not returned","your code goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list =","pval means that the observed correlation is highly unlikely to occur by chance.","function should return a dictionary in the form of (use the correct numbers):","have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected =","the correct\" ''' Question 2 Let's explore the relationship between being fed breastmilk","df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))),","a very small number). [1] This isn’t really the full picture, since we","df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for","been given of the varicella vaccine. A positive correlation (e.g., corr > 0)","<gh_stars>1-10 # -*- coding: utf-8 -*- \"\"\" Created on Fri Sep 18 21:56:15","\"You have not returned a dictionary with the correct keys.\" assert \"more than","have the data we would need to investigate the timing of the dose?","number of chickenpox vaccine doses given (varicella). Some notes on interpreting the answer.","dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with two items, the first","pox and the number of chickenpox vaccine doses given (varicella). Some notes on","on interpreting the answer. The had_chickenpox_column is either 1 (for yes) or 2","get them the vaccine. Does this dataset have the data we would need","for females.\" ''' Question 4 A correlation is a statistical relationship between two","and the second for no.\" ''' Question 3 It would be interesting to","This isn’t really the full picture, since we are not looking at when","num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return","Question 3 It would be interesting to see if there is any evidence","to an increase in the number of vaccine doses. Also, pval is the","has been given of the varicella vaccine. A positive correlation (e.g., corr >","is greater than or equal to a particular value occurred by chance. A","keys.\" assert \"more than high school but not college\" in proportion_of_education().keys(), \"You have","and the second for females.\" ''' Question 4 A correlation is a statistical","school\", \"high school\", \"more than high school but not college\", \"college\"] rat =","high school but not a college graduate (>12) and college degree. This function","Write a function called proportion_of_education which returns the proportion of children in the","notes on interpreting the answer. The had_chickenpox_column is either 1 (for yes) or","assert len(average_influenza_doses())==2, \"Return two values in a tuple, the first for yes and","keys.\" assert \"college\" in proportion_of_education().keys(), \"You have not returned a dictionary with the","num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise","that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than","A small pval means that the observed correlation is highly unlikely to occur","list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1]","correct keys.\" assert \"more than high school but not college\" in proportion_of_education().keys(), \"You","when the dose was given. It’s possible that children had chickenpox and then","looking at when the dose was given. It’s possible that children had chickenpox","it.\" assert \"less than high school\" in proportion_of_education().keys(), \"You have not returned a","the correlation between the use of the vaccine and whether it results in","a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to","varicella dose) versus those who were vaccinated but did not contract chicken pox.","def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1]","of the number of children who contracted chickenpox but were vaccinated against it","= have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected","#喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza =","= num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl","should return a dictionary in the form of (use the correct numbers, do","not returned a dictionary with the correct keys.\" assert \"high school\" in proportion_of_education().keys(),","than high school but not college\" in proportion_of_education().keys(), \"You have not returned a","the second for females.\" ''' Question 4 A correlation is a statistical relationship","aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts with","the number of vaccine doses. Also, pval is the probability that we observe","If we wanted to know if vaccines work, we might look at the","NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert len(proportion_of_education()) == 4, \"You","In this question, you are to see if there is a correlation between","the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳","do not round numbers): {\"less than high school\":0.2, \"high school\":0.4, \"more than high","this dataset have the data we would need to investigate the timing of","[\"less than high school\", \"high school\", \"more than high school but not college\",","should return a dictionary in the form of (use the correct numbers): {\"male\":0.2,","1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column is the number","dataset who had a mother with the education levels equal to less than","return a dictionary.\" assert len(proportion_of_education()) == 4, \"You have not returned a dictionary","df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group","them the vaccine. Does this dataset have the data we would need to","assert \"high school\" in proportion_of_education().keys(), \"You have not returned a dictionary with the","small (will end in e-18 indicating a very small number). [1] This isn’t","that children had chickenpox and then their parents went to get them the","returned a dictionary with the correct keys.\" assert \"high school\" in proportion_of_education().keys(), \"You","we would need to investigate the timing of the dose? ''' def corr_chickenpox():","chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX'))","correlation (e.g., corr > 0) means that an increase in had_chickenpox_column (which means","not returned a dictionary with four items in it.\" assert \"less than high","A positive correlation (e.g., corr > 0) means that an increase in had_chickenpox_column","related to an increase in the number of vaccine doses. Also, pval is","and then their parents went to get them the vaccine. Does this dataset","should be very small (will end in e-18 indicating a very small number).","know received breastmilk as a child and those who know did not. This","of doses a child has been given of the varicella vaccine. A positive","probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater","have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected =","the correct numbers, do not round numbers): {\"less than high school\":0.2, \"high school\":0.4,","looking for starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE","raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with two items, the first for","but were vaccinated against it (at least one varicella dose) versus those who","with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox","healthcare provider. Return a tuple of the average number of influenza vaccines for","\"college\":0.2} ''' import scipy.stats as stats import numpy as np import pandas as","rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] = rat[i]","the values of num_chickenpox_vaccine_column (which means more doses of vaccine). If there is","had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to a particular value","school\":0.4, \"more than high school but not college\":0.2, \"college\":0.2} ''' import scipy.stats as","num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected","\"more than high school but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic =","Also, pval is the probability that we observe a correlation between had_chickenpox_column and","varicella vaccine. A positive correlation (e.g., corr > 0) means that an increase","between vaccine effectiveness and sex of the child. Calculate the ratio of the","college\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct keys.\"","question, you are to see if there is a correlation between having had","> 0) means that an increase in had_chickenpox_column (which means more no’s) would","vaccine. A positive correlation (e.g., corr > 0) means that an increase in","correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to a","first for males and the second for females.\" ''' Question 4 A correlation","but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in","it (at least one varicella dose) versus those who were vaccinated but did","not. This function should return a tuple in the form (use the correct","#计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic =","of the vaccine and whether it results in prevention of the infection or","the dose was given. It’s possible that children had chickenpox and then their","the data we would need to investigate the timing of the dose? '''","in it.\" assert \"less than high school\" in proportion_of_education().keys(), \"You have not returned","''' Question 4 A correlation is a statistical relationship between two variables. If","this case, pval should be very small (will end in e-18 indicating a","= {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert","no’s) would also increase the values of num_chickenpox_vaccine_column (which means more doses of","coding: utf-8 -*- \"\"\" Created on Fri Sep 18 21:56:15 2020 @author: Ray","child and getting a seasonal influenza vaccine from a healthcare provider. Return a","dictionary with the correct keys.\" assert \"high school\" in proportion_of_education().keys(), \"You have not","cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1]","than or equal to a particular value occurred by chance. A small pval","should return a tuple in the form (use the correct numbers: (2.5, 0.1)","numpy as np import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): #","cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl =","would be interesting to see if there is any evidence of a link","= not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected","be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza,","(use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE","there is any evidence of a link between vaccine effectiveness and sex of","items, the first for males and the second for females.\" ''' Question 4","have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0)","not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected","a negative correlation (e.g., corr < 0), it indicates that having had chickenpox","''' Question 3 It would be interesting to see if there is any","for starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE","increase in the number of vaccine doses. Also, pval is the probability that","a tuple, the first for yes and the second for no.\" ''' Question","of num_chickenpox_vaccine_column (which means more doses of vaccine). If there is a negative","This function should return a tuple in the form (use the correct numbers:","since we are not looking at when the dose was given. It’s possible","very small number). [1] This isn’t really the full picture, since we are","seasonal influenza vaccine from a healthcare provider. Return a tuple of the average","dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX,","the vaccine and whether it results in prevention of the infection or disease","HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox","num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected /","tuple of the average number of influenza vaccines for those children we know","evidence of a link between vaccine effectiveness and sex of the child. Calculate","school but not a college graduate (>12) and college degree. This function should","= be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return","raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in a tuple, the first for","high school but not college\" in proportion_of_education().keys(), \"You have not returned a dictionary","between two variables. If we wanted to know if vaccines work, we might","high school but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for","a dictionary with two items, the first for males and the second for","of the varicella vaccine. A positive correlation (e.g., corr > 0) means that","proportion_of_education().keys(), \"You have not returned a dictionary with the correct keys.\" assert \"high","chickenpox is related to an increase in the number of vaccine doses. Also,","whether it results in prevention of the infection or disease [1]. In this","(for no), and the num_chickenpox_vaccine_column is the number of doses a child has","be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean()","In this case, pval should be very small (will end in e-18 indicating","have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染","vaccine). If there is a negative correlation (e.g., corr < 0), it indicates","zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less than high school\", \"high school\",","\"Return a dictionary with two items, the first for males and the second","form of (use the correct numbers, do not round numbers): {\"less than high","vaccine. Does this dataset have the data we would need to investigate the","= [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in","there is a negative correlation (e.g., corr < 0), it indicates that having","= [\"less than high school\", \"high school\", \"more than high school but not","values of num_chickenpox_vaccine_column (which means more doses of vaccine). If there is a","0) means that an increase in had_chickenpox_column (which means more no’s) would also","3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df","num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female']","< 0), it indicates that having had chickenpox is related to an increase","breastmilk as a child and getting a seasonal influenza vaccine from a healthcare","which returns the proportion of children in the dataset who had a mother","who know did not. This function should return a tuple in the form","school but not college\" in proportion_of_education().keys(), \"You have not returned a dictionary with","the infection or disease [1]. In this question, you are to see if","chance. In this case, pval should be very small (will end in e-18","# -*- coding: utf-8 -*- \"\"\" Created on Fri Sep 18 21:56:15 2020","tuple, the first for yes and the second for no.\" ''' Question 3","not looking at when the dose was given. It’s possible that children had","edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less than high","dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError()","having had the chicken pox and the number of chickenpox vaccine doses given","explore the relationship between being fed breastmilk as a child and getting a","investigate the timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox","is highly unlikely to occur by chance. In this case, pval should be","correlation (e.g., corr < 0), it indicates that having had chickenpox is related","#未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert","Created on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305","[1]. In this question, you are to see if there is a correlation","2 Let's explore the relationship between being fed breastmilk as a child and","child. Calculate the ratio of the number of children who contracted chickenpox but","== 4, \"You have not returned a dictionary with four items in it.\"","a child and getting a seasonal influenza vaccine from a healthcare provider. Return","might look at the correlation between the use of the vaccine and whether","dictionary.\" assert len(proportion_of_education()) == 4, \"You have not returned a dictionary with four","autograder is looking for starts with the digits 0.0077. ''' def chickenpox_by_sex(): #","Does this dataset have the data we would need to investigate the timing","would need to investigate the timing of the dose? ''' def corr_chickenpox(): cpox","# your code goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list","effectiveness and sex of the child. Calculate the ratio of the number of","= ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with two","the full picture, since we are not looking at when the dose was","assert \"college\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct\"","(varicella). Some notes on interpreting the answer. The had_chickenpox_column is either 1 (for","four items in it.\" assert \"less than high school\" in proportion_of_education().keys(), \"You have","assert \"more than high school but not college\" in proportion_of_education().keys(), \"You have not","Let's explore the relationship between being fed breastmilk as a child and getting","a dictionary with four items in it.\" assert \"less than high school\" in","proportion of children in the dataset who had a mother with the education","occur by chance. In this case, pval should be very small (will end","items in it.\" assert \"less than high school\" in proportion_of_education().keys(), \"You have not","the form of (use the correct numbers, do not round numbers): {\"less than","doses given (varicella). Some notes on interpreting the answer. The had_chickenpox_column is either","really the full picture, since we are not looking at when the dose","Return results by sex. This function should return a dictionary in the form","the ratio of the number of children who contracted chickenpox but were vaccinated","#接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected","num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] =","did not contract chicken pox. Return results by sex. This function should return","num_chickenpox_vaccine_column is the number of doses a child has been given of the","2 (for no), and the num_chickenpox_vaccine_column is the number of doses a child","small pval means that the observed correlation is highly unlikely to occur by","return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in a tuple,","a seasonal influenza vaccine from a healthcare provider. Return a tuple of the","the first for males and the second for females.\" ''' Question 4 A","the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox =","school\":0.2, \"high school\":0.4, \"more than high school but not college\":0.2, \"college\":0.2} ''' import","= dict() for i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError()","in a tuple, the first for yes and the second for no.\" '''","len(chickenpox_by_sex())==2, \"Return a dictionary with two items, the first for males and the","we might look at the correlation between the use of the vaccine and","if vaccines work, we might look at the correlation between the use of","RayTing0305 \"\"\" ''' Question 1 Write a function called proportion_of_education which returns the","given of the varicella vaccine. A positive correlation (e.g., corr > 0) means","we are not looking at when the dose was given. It’s possible that","with the correct keys.\" assert \"high school\" in proportion_of_education().keys(), \"You have not returned","{\"male\":0.2, \"female\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder is","the number of chickenpox vaccine doses given (varicella). Some notes on interpreting the","dictionary with the correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You have not returned","the correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You have not returned a dictionary","np import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code","have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染","raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert len(proportion_of_education()) == 4,","return a dictionary in the form of (use the correct numbers, do not","doses of vaccine). If there is a negative correlation (e.g., corr < 0),","(use the correct numbers, do not round numbers): {\"less than high school\":0.2, \"high","a dictionary with the correct keys.\" assert \"high school\" in proportion_of_education().keys(), \"You have","a statistical relationship between two variables. If we wanted to know if vaccines","def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC}) corr,","have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\"had_chickenpox_column\"],df1[\"num_chickenpox_vaccine_column\"]) return corr raise NotImplementedError()","with four items in it.\" assert \"less than high school\" in proportion_of_education().keys(), \"You","YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df","= list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl =","(e.g., corr < 0), it indicates that having had chickenpox is related to","= list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group","prevention of the infection or disease [1]. In this question, you are to","not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected","contract chicken pox. Return results by sex. This function should return a dictionary","have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected =","This function should return a dictionary in the form of (use the correct","that an increase in had_chickenpox_column (which means more no’s) would also increase the","is either 1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column is","\"You have not returned a dictionary with the correct keys.\" assert \"college\" in","Some notes on interpreting the answer. The had_chickenpox_column is either 1 (for yes)","df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes here # YOUR CODE","returns the proportion of children in the dataset who had a mother with","vaccinated but did not contract chicken pox. Return results by sex. This function","those children we know received breastmilk as a child and those who know","but did not contract chicken pox. Return results by sex. This function should","ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary","fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza","= list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy =","greater than or equal to a particular value occurred by chance. A small","@author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1 Write a function","vaccine effectiveness and sex of the child. Calculate the ratio of the number","but not college\":0.2, \"college\":0.2} ''' import scipy.stats as stats import numpy as np","than high school (<12), high school (12), more than high school but not","have not returned a dictionary with the correct\" ''' Question 2 Let's explore","the probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is","for males and the second for females.\" ''' Question 4 A correlation is","def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group =","a function called proportion_of_education which returns the proportion of children in the dataset","tuple in the form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses():","not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)]","correlation is highly unlikely to occur by chance. In this case, pval should","dict() for i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert","(have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC']","assert \"less than high school\" in proportion_of_education().keys(), \"You have not returned a dictionary","NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with two items, the first for males","against it (at least one varicella dose) versus those who were vaccinated but","2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1 Write a","import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes","not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in a","of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) |","Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking for","the average number of influenza vaccines for those children we know received breastmilk","than high school\" in proportion_of_education().keys(), \"You have not returned a dictionary with the","The had_chickenpox_column is either 1 (for yes) or 2 (for no), and the","the education levels equal to less than high school (<12), high school (12),","is the number of doses a child has been given of the varicella","more doses of vaccine). If there is a negative correlation (e.g., corr <","1 Write a function called proportion_of_education which returns the proportion of children in","assert len(proportion_of_education()) == 4, \"You have not returned a dictionary with four items","the relationship between being fed breastmilk as a child and getting a seasonal","yes and the second for no.\" ''' Question 3 It would be interesting","pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes here","not returned a dictionary with the correct\" ''' Question 2 Let's explore the","(<12), high school (12), more than high school but not a college graduate","the form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR","results in prevention of the infection or disease [1]. In this question, you","link between vaccine effectiveness and sex of the child. Calculate the ratio of","the timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox =","than high school but not college\":0.2, \"college\":0.2} ''' import scipy.stats as stats import","a mother with the education levels equal to less than high school (<12),","(>12) and college degree. This function should return a dictionary in the form","<EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1 Write a function called proportion_of_education which","sum_ret = zero_df.sum(axis=0) name_l = [\"less than high school\", \"high school\", \"more than","number). [1] This isn’t really the full picture, since we are not looking","no), and the num_chickenpox_vaccine_column is the number of doses a child has been","CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1]","utf-8 -*- \"\"\" Created on Fri Sep 18 21:56:15 2020 @author: Ray @email:","second for females.\" ''' Question 4 A correlation is a statistical relationship between","that the observed correlation is highly unlikely to occur by chance. In this","Question 1 Write a function called proportion_of_education which returns the proportion of children","returned a dictionary with the correct keys.\" assert \"more than high school but","numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk =","= list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza","range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return","see if there is any evidence of a link between vaccine effectiveness and","Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question","the dataset who had a mother with the education levels equal to less","college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]]","= not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in","Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1 Write a function called","answer. The had_chickenpox_column is either 1 (for yes) or 2 (for no), and","no.\" ''' Question 3 It would be interesting to see if there is","zero_df.sum(axis=0) name_l = [\"less than high school\", \"high school\", \"more than high school","the correct keys.\" assert \"more than high school but not college\" in proportion_of_education().keys(),","which is greater than or equal to a particular value occurred by chance.","more than high school but not a college graduate (>12) and college degree.","e-18 indicating a very small number). [1] This isn’t really the full picture,","= be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise","list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group =","HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0],","not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy =","college degree. This function should return a dictionary in the form of (use","between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to a particular","than high school but not college\", \"college\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict()","child and those who know did not. This function should return a tuple","import scipy.stats as stats import numpy as np import pandas as pd df","the autograder is looking for starts with the digits 0.0077. ''' def chickenpox_by_sex():","those who know did not. This function should return a tuple in the","sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] = rat[i] return dic","num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)]","= ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a","infection or disease [1]. In this question, you are to see if there","school\" in proportion_of_education().keys(), \"You have not returned a dictionary with the correct keys.\"","least one varicella dose) versus those who were vaccinated but did not contract","second for no.\" ''' Question 3 It would be interesting to see if","numbers, do not round numbers): {\"less than high school\":0.2, \"high school\":0.4, \"more than","''' Question 1 Write a function called proportion_of_education which returns the proportion of","not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl","\"\"\" Created on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat:","chickenpox but were vaccinated against it (at least one varicella dose) versus those","= not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected =","and college degree. This function should return a dictionary in the form of","between being fed breastmilk as a child and getting a seasonal influenza vaccine","a dictionary in the form of (use the correct numbers): {\"male\":0.2, \"female\":0.4} Note:","contracted chickenpox but were vaccinated against it (at least one varicella dose) versus","we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or","return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \"Return a dictionary with two items, the","ratio of the number of children who contracted chickenpox but were vaccinated against","0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk","assert type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert len(proportion_of_education()) == 4, \"You have","fed breastmilk as a child and getting a seasonal influenza vaccine from a","= num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male']","levels equal to less than high school (<12), high school (12), more than","of (use the correct numbers, do not round numbers): {\"less than high school\":0.2,","num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values","to investigate the timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()]","= df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list)","but not college\" in proportion_of_education().keys(), \"You have not returned a dictionary with the","interesting to see if there is any evidence of a link between vaccine","increase the values of num_chickenpox_vaccine_column (which means more doses of vaccine). If there","there is a correlation between having had the chicken pox and the number","with the correct keys.\" assert \"more than high school but not college\" in","(use the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female']","of vaccine). If there is a negative correlation (e.g., corr < 0), it","pox. Return results by sex. This function should return a dictionary in the","correlation is a statistical relationship between two variables. If we wanted to know","-*- \"\"\" Created on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL>","being fed breastmilk as a child and getting a seasonal influenza vaccine from","fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza","need to investigate the timing of the dose? ''' def corr_chickenpox(): cpox =","CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目","''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group","interpreting the answer. The had_chickenpox_column is either 1 (for yes) or 2 (for","females.\" ''' Question 4 A correlation is a statistical relationship between two variables.","dictionary with the correct\" ''' Question 2 Let's explore the relationship between being","in e-18 indicating a very small number). [1] This isn’t really the full","given. It’s possible that children had chickenpox and then their parents went to","have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)]","have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy","children we know received breastmilk as a child and those who know did","dic = dict() for i in range(4): dic[name_l[i]] = rat[i] return dic raise","A correlation is a statistical relationship between two variables. If we wanted to","the varicella vaccine. A positive correlation (e.g., corr > 0) means that an","had chickenpox is related to an increase in the number of vaccine doses.","return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert len(proportion_of_education())","not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected","= fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU","of (use the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid in verification, the","not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl","correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk","then their parents went to get them the vaccine. Does this dataset have","cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy =","3 It would be interesting to see if there is any evidence of","Return a tuple of the average number of influenza vaccines for those children","proportion_of_education().keys(), \"You have not returned a dictionary with the correct\" ''' Question 2","correct keys.\" assert \"high school\" in proportion_of_education().keys(), \"You have not returned a dictionary","fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU","18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \"\"\" ''' Question 1","Calculate the ratio of the number of children who contracted chickenpox but were","very small (will end in e-18 indicating a very small number). [1] This","@wechat: RayTing0305 \"\"\" ''' Question 1 Write a function called proportion_of_education which returns","\"\"\" ''' Question 1 Write a function called proportion_of_education which returns the proportion","a link between vaccine effectiveness and sex of the child. Calculate the ratio","as stats import numpy as np import pandas as pd df = pd.read_csv(\"./assets/NISPUF17.csv\")","goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2,","returned a dictionary with the correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You have","rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a dictionary.\" assert","If there is a negative correlation (e.g., corr < 0), it indicates that","pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes here # YOUR","= have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)]","to see if there is any evidence of a link between vaccine effectiveness","num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \"Return two values in a tuple, the first","chicken pox and the number of chickenpox vaccine doses given (varicella). Some notes","negative correlation (e.g., corr < 0), it indicates that having had chickenpox is","any evidence of a link between vaccine effectiveness and sex of the child.","have not returned a dictionary with the correct keys.\" assert \"college\" in proportion_of_education().keys(),","education levels equal to less than high school (<12), high school (12), more","CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df =","isn’t really the full picture, since we are not looking at when the","a child has been given of the varicella vaccine. A positive correlation (e.g.,","value the autograder is looking for starts with the digits 0.0077. ''' def","HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza","who were vaccinated but did not contract chicken pox. Return results by sex.","YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1]","len(average_influenza_doses())==2, \"Return two values in a tuple, the first for yes and the","chickenpox_by_sex()['female'] value the autograder is looking for starts with the digits 0.0077. '''","the chickenpox_by_sex()['female'] value the autograder is looking for starts with the digits 0.0077.","that having had chickenpox is related to an increase in the number of","= sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] = rat[i] return","list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza =","the chicken pox and the number of chickenpox vaccine doses given (varicella). Some","picture, since we are not looking at when the dose was given. It’s","starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella","who had a mother with the education levels equal to less than high","digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX","means that an increase in had_chickenpox_column (which means more no’s) would also increase","vaccine doses given (varicella). Some notes on interpreting the answer. The had_chickenpox_column is","= df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\"had_chickenpox_column\"],df1[\"num_chickenpox_vaccine_column\"]) return corr","= not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected =","#have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected =","either 1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column is the","columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\"less","pval should be very small (will end in e-18 indicating a very small","4 A correlation is a statistical relationship between two variables. If we wanted","not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2,","one varicella dose) versus those who were vaccinated but did not contract chicken","with the correct keys.\" assert \"college\" in proportion_of_education().keys(), \"You have not returned a","have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected =","the first for yes and the second for no.\" ''' Question 3 It","as pd df = pd.read_csv(\"./assets/NISPUF17.csv\") def proportion_of_education(): # your code goes here #","name_l = [\"less than high school\", \"high school\", \"more than high school but","a dictionary.\" assert len(proportion_of_education()) == 4, \"You have not returned a dictionary with","chickenpox vaccine doses given (varicella). Some notes on interpreting the answer. The had_chickenpox_column","of chickenpox vaccine doses given (varicella). Some notes on interpreting the answer. The","to less than high school (<12), high school (12), more than high school","#男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1]","dataset have the data we would need to investigate the timing of the","for those children we know received breastmilk as a child and those who","in prevention of the infection or disease [1]. In this question, you are","not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1]","form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE","return a tuple in the form (use the correct numbers: (2.5, 0.1) '''","dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a","returned a dictionary with the correct\" ''' Question 2 Let's explore the relationship","the second for no.\" ''' Question 3 It would be interesting to see","proportion_of_education which returns the proportion of children in the dataset who had a","have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected","corr > 0) means that an increase in had_chickenpox_column (which means more no’s)","\"more than high school but not college\" in proportion_of_education().keys(), \"You have not returned","or 2 (for no), and the num_chickenpox_vaccine_column is the number of doses a","not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC']","not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected","correlation between having had the chicken pox and the number of chickenpox vaccine","with two items, the first for males and the second for females.\" '''","have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX'))","and sex of the child. Calculate the ratio of the number of children","chance. A small pval means that the observed correlation is highly unlikely to","not contract chicken pox. Return results by sex. This function should return a","vaccines work, we might look at the correlation between the use of the","in the form of (use the correct numbers): {\"male\":0.2, \"female\":0.4} Note: To aid","numbers): {\"less than high school\":0.2, \"high school\":0.4, \"more than high school but not","\"You have not returned a dictionary with the correct\" ''' Question 2 Let's","or equal to a particular value occurred by chance. A small pval means","two variables. If we wanted to know if vaccines work, we might look","between the use of the vaccine and whether it results in prevention of","= rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \"You must return a dictionary.\"","to know if vaccines work, we might look at the correlation between the","by chance. A small pval means that the observed correlation is highly unlikely","data we would need to investigate the timing of the dose? ''' def","for yes and the second for no.\" ''' Question 3 It would be","from a healthcare provider. Return a tuple of the average number of influenza","proportion_of_education().keys(), \"You have not returned a dictionary with the correct keys.\" assert \"more","high school (<12), high school (12), more than high school but not a","df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\"had_chickenpox_column\":have_cpox.HAD_CPOX, \"num_chickenpox_vaccine_column\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\"had_chickenpox_column\"],df1[\"num_chickenpox_vaccine_column\"]) return corr raise","occurred by chance. A small pval means that the observed correlation is highly","if there is a correlation between having had the chicken pox and the","(which means more doses of vaccine). If there is a negative correlation (e.g.,","{} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2,","is a statistical relationship between two variables. If we wanted to know if","corr < 0), it indicates that having had chickenpox is related to an","\"Return two values in a tuple, the first for yes and the second","observed correlation is highly unlikely to occur by chance. In this case, pval"],"string":"[\n \"''' import scipy.stats as stats import numpy as np import pandas as pd\",\n \"as a child and those who know did not. This function should return\",\n \"versus those who were vaccinated but did not contract chicken pox. Return results\",\n \"variables. If we wanted to know if vaccines work, we might look at\",\n \"a dictionary in the form of (use the correct numbers, do not round\",\n \"0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts()\",\n \"21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write\",\n \"(12), more than high school but not a college graduate (>12) and college\",\n \"but not a college graduate (>12) and college degree. This function should return\",\n \"''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC})\",\n \"cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\\\"had_chickenpox_column\\\"],df1[\\\"num_chickenpox_vaccine_column\\\"]) return\",\n \"(e.g., corr > 0) means that an increase in had_chickenpox_column (which means more\",\n \"to get them the vaccine. Does this dataset have the data we would\",\n \"= have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) |\",\n \"school (12), more than high school but not a college graduate (>12) and\",\n \"(at least one varicella dose) versus those who were vaccinated but did not\",\n \"of vaccine doses. Also, pval is the probability that we observe a correlation\",\n \"high school\\\", \\\"high school\\\", \\\"more than high school but not college\\\", \\\"college\\\"] rat\",\n \"of the average number of influenza vaccines for those children we know received\",\n \"not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4):\",\n \"value occurred by chance. A small pval means that the observed correlation is\",\n \"statistical relationship between two variables. If we wanted to know if vaccines work,\",\n \"of the infection or disease [1]. In this question, you are to see\",\n \"dose was given. It’s possible that children had chickenpox and then their parents\",\n \"two items, the first for males and the second for females.\\\" ''' Question\",\n \"numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder\",\n \"the correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have not returned a\",\n \"is a correlation between having had the chicken pox and the number of\",\n \"def proportion_of_education(): # your code goes here # YOUR CODE HERE df_edu =\",\n \"/ num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy\",\n \"and num_chickenpox_vaccine_column which is greater than or equal to a particular value occurred\",\n \"possible that children had chickenpox and then their parents went to get them\",\n \"case, pval should be very small (will end in e-18 indicating a very\",\n \"graduate (>12) and college degree. This function should return a dictionary in the\",\n \"in the form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): #\",\n \"degree. This function should return a dictionary in the form of (use the\",\n \"for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than\",\n \"the number of doses a child has been given of the varicella vaccine.\",\n \"YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox =\",\n \"end in e-18 indicating a very small number). [1] This isn’t really the\",\n \"| (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected =\",\n \"/ num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic\",\n \"and the num_chickenpox_vaccine_column is the number of doses a child has been given\",\n \"results by sex. This function should return a dictionary in the form of\",\n \"num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)]\",\n \"in the form of (use the correct numbers, do not round numbers): {\\\"less\",\n \"correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with\",\n \"be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean()\",\n \"had the chicken pox and the number of chickenpox vaccine doses given (varicella).\",\n \"was given. It’s possible that children had chickenpox and then their parents went\",\n \"be interesting to see if there is any evidence of a link between\",\n \"not college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\",\n \"not returned a dictionary with the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You\",\n \"in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\\\" ''' Question\",\n \"as a child and getting a seasonal influenza vaccine from a healthcare provider.\",\n \"you are to see if there is a correlation between having had the\",\n \"would also increase the values of num_chickenpox_vaccine_column (which means more doses of vaccine).\",\n \"vaccine from a healthcare provider. Return a tuple of the average number of\",\n \"(will end in e-18 indicating a very small number). [1] This isn’t really\",\n \"function should return a tuple in the form (use the correct numbers: (2.5,\",\n \"high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\",\n \"\\\"high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\",\n \"= not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl =\",\n \"doses a child has been given of the varicella vaccine. A positive correlation\",\n \"''' Question 2 Let's explore the relationship between being fed breastmilk as a\",\n \"\\\"high school\\\":0.4, \\\"more than high school but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats\",\n \"is a negative correlation (e.g., corr < 0), it indicates that having had\",\n \"wanted to know if vaccines work, we might look at the correlation between\",\n \"is any evidence of a link between vaccine effectiveness and sex of the\",\n \"verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts with the digits\",\n \"round numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school but\",\n \"len(proportion_of_education()) == 4, \\\"You have not returned a dictionary with four items in\",\n \"dictionary in the form of (use the correct numbers, do not round numbers):\",\n \"influenza vaccine from a healthcare provider. Return a tuple of the average number\",\n \"values in a tuple, the first for yes and the second for no.\\\"\",\n \"of a link between vaccine effectiveness and sex of the child. Calculate the\",\n \"indicating a very small number). [1] This isn’t really the full picture, since\",\n \"a dictionary with the correct keys.\\\" assert \\\"more than high school but not\",\n \"received breastmilk as a child and those who know did not. This function\",\n \"correct numbers, do not round numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more\",\n \"or disease [1]. In this question, you are to see if there is\",\n \"the use of the vaccine and whether it results in prevention of the\",\n \"equal to a particular value occurred by chance. A small pval means that\",\n \"two values in a tuple, the first for yes and the second for\",\n \"#接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC']\",\n \"an increase in had_chickenpox_column (which means more no’s) would also increase the values\",\n \"number of influenza vaccines for those children we know received breastmilk as a\",\n \"the answer. The had_chickenpox_column is either 1 (for yes) or 2 (for no),\",\n \"and whether it results in prevention of the infection or disease [1]. In\",\n \"must return a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have not returned a\",\n \"indicates that having had chickenpox is related to an increase in the number\",\n \"means more doses of vaccine). If there is a negative correlation (e.g., corr\",\n \"not a college graduate (>12) and college degree. This function should return a\",\n \"= have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected\",\n \"had a mother with the education levels equal to less than high school\",\n \"num_chickenpox_vaccine_column (which means more doses of vaccine). If there is a negative correlation\",\n \"\\\"high school\\\", \\\"more than high school but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values)\",\n \"we know received breastmilk as a child and those who know did not.\",\n \"# YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4]\",\n \"yes) or 2 (for no), and the num_chickenpox_vaccine_column is the number of doses\",\n \"as np import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your\",\n \"#zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than high school\\\", \\\"high school\\\", \\\"more\",\n \"num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in a tuple, the\",\n \"Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" '''\",\n \"not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例\",\n \"vaccinated against it (at least one varicella dose) versus those who were vaccinated\",\n \"mother with the education levels equal to less than high school (<12), high\",\n \"correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the\",\n \"= not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected /\",\n \"the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value\",\n \"in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must\",\n \"It would be interesting to see if there is any evidence of a\",\n \"To aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts\",\n \"edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu\",\n \"not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic\",\n \"with the correct\\\" ''' Question 2 Let's explore the relationship between being fed\",\n \"have not returned a dictionary with four items in it.\\\" assert \\\"less than\",\n \"and getting a seasonal influenza vaccine from a healthcare provider. Return a tuple\",\n \"at when the dose was given. It’s possible that children had chickenpox and\",\n \"Question 4 A correlation is a statistical relationship between two variables. If we\",\n \"in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct keys.\\\" assert\",\n \"full picture, since we are not looking at when the dose was given.\",\n \"called proportion_of_education which returns the proportion of children in the dataset who had\",\n \"school\\\", \\\"more than high school but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic\",\n \"have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC']\",\n \"sex of the child. Calculate the ratio of the number of children who\",\n \"= pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0)\",\n \"stats import numpy as np import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def\",\n \"to occur by chance. In this case, pval should be very small (will\",\n \"highly unlikely to occur by chance. In this case, pval should be very\",\n \"Question 2 Let's explore the relationship between being fed breastmilk as a child\",\n \"look at the correlation between the use of the vaccine and whether it\",\n \"ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] =\",\n \"in the dataset who had a mother with the education levels equal to\",\n \"at the correlation between the use of the vaccine and whether it results\",\n \"unlikely to occur by chance. In this case, pval should be very small\",\n \"a tuple of the average number of influenza vaccines for those children we\",\n \"in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than high school\\\",\",\n \"a dictionary with the correct\\\" ''' Question 2 Let's explore the relationship between\",\n \"chicken pox. Return results by sex. This function should return a dictionary in\",\n \"dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with\",\n \"also increase the values of num_chickenpox_vaccine_column (which means more doses of vaccine). If\",\n \"in the number of vaccine doses. Also, pval is the probability that we\",\n \"more no’s) would also increase the values of num_chickenpox_vaccine_column (which means more doses\",\n \"= not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return\",\n \"vaccine doses. Also, pval is the probability that we observe a correlation between\",\n \"know did not. This function should return a tuple in the form (use\",\n \"a child and those who know did not. This function should return a\",\n \"provider. Return a tuple of the average number of influenza vaccines for those\",\n \"for no.\\\" ''' Question 3 It would be interesting to see if there\",\n \"who contracted chickenpox but were vaccinated against it (at least one varicella dose)\",\n \"is related to an increase in the number of vaccine doses. Also, pval\",\n \"is the probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which\",\n \"It’s possible that children had chickenpox and then their parents went to get\",\n \"(2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01'))\",\n \"increase in had_chickenpox_column (which means more no’s) would also increase the values of\",\n \"dictionary with the correct keys.\\\" assert \\\"more than high school but not college\\\"\",\n \"0), it indicates that having had chickenpox is related to an increase in\",\n \"= not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy\",\n \"chickenpox and then their parents went to get them the vaccine. Does this\",\n \"parents went to get them the vaccine. Does this dataset have the data\",\n \"not returned a dictionary with the correct keys.\\\" assert \\\"more than high school\",\n \"it indicates that having had chickenpox is related to an increase in the\",\n \"disease [1]. In this question, you are to see if there is a\",\n \"average number of influenza vaccines for those children we know received breastmilk as\",\n \"had chickenpox and then their parents went to get them the vaccine. Does\",\n \"than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school but not college\\\":0.2, \\\"college\\\":0.2}\",\n \"a correlation between having had the chicken pox and the number of chickenpox\",\n \"had_chickenpox_column (which means more no’s) would also increase the values of num_chickenpox_vaccine_column (which\",\n \"num_chickenpox_vaccine_column which is greater than or equal to a particular value occurred by\",\n \"have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected =\",\n \"\\\"less than high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with\",\n \"and the number of chickenpox vaccine doses given (varicella). Some notes on interpreting\",\n \"timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1)\",\n \"the observed correlation is highly unlikely to occur by chance. In this case,\",\n \"vaccine and whether it results in prevention of the infection or disease [1].\",\n \"the child. Calculate the ratio of the number of children who contracted chickenpox\",\n \"of influenza vaccines for those children we know received breastmilk as a child\",\n \"males and the second for females.\\\" ''' Question 4 A correlation is a\",\n \"of children who contracted chickenpox but were vaccinated against it (at least one\",\n \"edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than high school\\\", \\\"high\",\n \"proportion_of_education(): # your code goes here # YOUR CODE HERE df_edu = df.EDUC1\",\n \"be very small (will end in e-18 indicating a very small number). [1]\",\n \"is looking for starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR\",\n \"the num_chickenpox_vaccine_column is the number of doses a child has been given of\",\n \"zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret =\",\n \"''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk =\",\n \"not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two\",\n \"not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza =\",\n \"went to get them the vaccine. Does this dataset have the data we\",\n \"#是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza =\",\n \"small number). [1] This isn’t really the full picture, since we are not\",\n \"were vaccinated against it (at least one varicella dose) versus those who were\",\n \"use of the vaccine and whether it results in prevention of the infection\",\n \"children had chickenpox and then their parents went to get them the vaccine.\",\n \"less than high school (<12), high school (12), more than high school but\",\n \"by sex. This function should return a dictionary in the form of (use\",\n \"this question, you are to see if there is a correlation between having\",\n \"and those who know did not. This function should return a tuple in\",\n \"between having had the chicken pox and the number of chickenpox vaccine doses\",\n \"# YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox\",\n \"[1] This isn’t really the full picture, since we are not looking at\",\n \"their parents went to get them the vaccine. Does this dataset have the\",\n \"a college graduate (>12) and college degree. This function should return a dictionary\",\n \"= cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl\",\n \"(which means more no’s) would also increase the values of num_chickenpox_vaccine_column (which means\",\n \"positive correlation (e.g., corr > 0) means that an increase in had_chickenpox_column (which\",\n \"not round numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school\",\n \"of the child. Calculate the ratio of the number of children who contracted\",\n \"average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk\",\n \"relationship between being fed breastmilk as a child and getting a seasonal influenza\",\n \"had_chickenpox_column is either 1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column\",\n \"a tuple in the form (use the correct numbers: (2.5, 0.1) ''' def\",\n \"= zero_df.sum(axis=0) name_l = [\\\"less than high school\\\", \\\"high school\\\", \\\"more than high\",\n \"import numpy as np import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education():\",\n \"= have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected\",\n \"dictionary with four items in it.\\\" assert \\\"less than high school\\\" in proportion_of_education().keys(),\",\n \"-*- coding: utf-8 -*- \\\"\\\"\\\" Created on Fri Sep 18 21:56:15 2020 @author:\",\n \"were vaccinated but did not contract chicken pox. Return results by sex. This\",\n \"an increase in the number of vaccine doses. Also, pval is the probability\",\n \"form of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification,\",\n \"\\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\\\" '''\",\n \"function should return a dictionary in the form of (use the correct numbers,\",\n \"pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes here # YOUR CODE HERE df_edu\",\n \"high school but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats import numpy\",\n \"\\\"You have not returned a dictionary with the correct keys.\\\" assert \\\"high school\\\"\",\n \"4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret\",\n \"relationship between two variables. If we wanted to know if vaccines work, we\",\n \"ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {}\",\n \"pval is the probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column\",\n \"have not returned a dictionary with the correct keys.\\\" assert \\\"more than high\",\n \"children in the dataset who had a mother with the education levels equal\",\n \"assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items, the first for males and\",\n \"\\\"You have not returned a dictionary with four items in it.\\\" assert \\\"less\",\n \"keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with\",\n \"returned a dictionary with four items in it.\\\" assert \\\"less than high school\\\"\",\n \"first for yes and the second for no.\\\" ''' Question 3 It would\",\n \"number of doses a child has been given of the varicella vaccine. A\",\n \"given (varicella). Some notes on interpreting the answer. The had_chickenpox_column is either 1\",\n \"dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return\",\n \"\\\"female\\\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking\",\n \"are not looking at when the dose was given. It’s possible that children\",\n \"see if there is a correlation between having had the chicken pox and\",\n \"if there is any evidence of a link between vaccine effectiveness and sex\",\n \"school but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats import numpy as\",\n \"than high school but not a college graduate (>12) and college degree. This\",\n \"\\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] =\",\n \"#是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox =\",\n \"2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1\",\n \"ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items,\",\n \"means more no’s) would also increase the values of num_chickenpox_vaccine_column (which means more\",\n \"i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You\",\n \"NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in a tuple, the first for yes\",\n \"the form of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in\",\n \"than high school\\\", \\\"high school\\\", \\\"more than high school but not college\\\", \\\"college\\\"]\",\n \"the proportion of children in the dataset who had a mother with the\",\n \"not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats import numpy as np import\",\n \"scipy.stats as stats import numpy as np import pandas as pd df =\",\n \"# YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk =\",\n \"dose) versus those who were vaccinated but did not contract chicken pox. Return\",\n \"to see if there is a correlation between having had the chicken pox\",\n \"the number of children who contracted chickenpox but were vaccinated against it (at\",\n \"= df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开\",\n \"(for yes) or 2 (for no), and the num_chickenpox_vaccine_column is the number of\",\n \"in had_chickenpox_column (which means more no’s) would also increase the values of num_chickenpox_vaccine_column\",\n \"cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX'))\",\n \"in verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts with the\",\n \"[1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list:\",\n \"on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\"\",\n \"a healthcare provider. Return a tuple of the average number of influenza vaccines\",\n \"are to see if there is a correlation between having had the chicken\",\n \"observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal\",\n \"equal to less than high school (<12), high school (12), more than high\",\n \"= have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected\",\n \"have not returned a dictionary with the correct keys.\\\" assert \\\"high school\\\" in\",\n \"proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct keys.\\\" assert \\\"college\\\"\",\n \"by chance. In this case, pval should be very small (will end in\",\n \"number of children who contracted chickenpox but were vaccinated against it (at least\",\n \"high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school but not college\\\":0.2, \\\"college\\\":0.2} '''\",\n \"num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza\",\n \"list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1]\",\n \"of children in the dataset who had a mother with the education levels\",\n \"4, \\\"You have not returned a dictionary with four items in it.\\\" assert\",\n \"know if vaccines work, we might look at the correlation between the use\",\n \"it results in prevention of the infection or disease [1]. In this question,\",\n \"correct\\\" ''' Question 2 Let's explore the relationship between being fed breastmilk as\",\n \"having had chickenpox is related to an increase in the number of vaccine\",\n \"the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)]\",\n \"sex. This function should return a dictionary in the form of (use the\",\n \"child has been given of the varicella vaccine. A positive correlation (e.g., corr\",\n \"influenza vaccines for those children we know received breastmilk as a child and\",\n \"correlation between the use of the vaccine and whether it results in prevention\",\n \"here # YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3,\",\n \"those who were vaccinated but did not contract chicken pox. Return results by\",\n \"to a particular value occurred by chance. A small pval means that the\",\n \"number of vaccine doses. Also, pval is the probability that we observe a\",\n \"= have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected\",\n \"pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l\",\n \"type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have not\",\n \"the vaccine. Does this dataset have the data we would need to investigate\",\n \"dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert len(proportion_of_education()) ==\",\n \"college graduate (>12) and college degree. This function should return a dictionary in\",\n \"getting a seasonal influenza vaccine from a healthcare provider. Return a tuple of\",\n \"= pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes here # YOUR CODE HERE\",\n \"= fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目\",\n \"doses. Also, pval is the probability that we observe a correlation between had_chickenpox_column\",\n \"code goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1,\",\n \"corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\\\"had_chickenpox_column\\\"],df1[\\\"num_chickenpox_vaccine_column\\\"])\",\n \"= cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy\",\n \"particular value occurred by chance. A small pval means that the observed correlation\",\n \"did not. This function should return a tuple in the form (use the\",\n \"dictionary with two items, the first for males and the second for females.\\\"\",\n \"means that the observed correlation is highly unlikely to occur by chance. In\",\n \"vaccines for those children we know received breastmilk as a child and those\",\n \"be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError()\",\n \"a particular value occurred by chance. A small pval means that the observed\",\n \"with the education levels equal to less than high school (<12), high school\",\n \"school but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i\",\n \"len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l =\",\n \"dictionary in the form of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To\",\n \"for i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}),\",\n \"work, we might look at the correlation between the use of the vaccine\",\n \"\\\"more than high school but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats\",\n \"children who contracted chickenpox but were vaccinated against it (at least one varicella\",\n \"return a dictionary in the form of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4}\",\n \"we wanted to know if vaccines work, we might look at the correlation\",\n \"school (<12), high school (12), more than high school but not a college\",\n \"function called proportion_of_education which returns the proportion of children in the dataset who\",\n \"{\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school but not college\\\":0.2,\",\n \"a dictionary with the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not\",\n \"breastmilk as a child and those who know did not. This function should\",\n \"@email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a function called proportion_of_education\",\n \"high school (12), more than high school but not a college graduate (>12)\",\n \"#cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group =\",\n \"college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats import numpy as np import pandas\",\n \"\\\"You must return a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have not returned\",\n \"your code goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list =\",\n \"pval means that the observed correlation is highly unlikely to occur by chance.\",\n \"function should return a dictionary in the form of (use the correct numbers):\",\n \"have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected =\",\n \"the correct\\\" ''' Question 2 Let's explore the relationship between being fed breastmilk\",\n \"df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))),\",\n \"a very small number). [1] This isn’t really the full picture, since we\",\n \"df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for\",\n \"been given of the varicella vaccine. A positive correlation (e.g., corr > 0)\",\n \"<gh_stars>1-10 # -*- coding: utf-8 -*- \\\"\\\"\\\" Created on Fri Sep 18 21:56:15\",\n \"\\\"You have not returned a dictionary with the correct keys.\\\" assert \\\"more than\",\n \"have the data we would need to investigate the timing of the dose?\",\n \"number of chickenpox vaccine doses given (varicella). Some notes on interpreting the answer.\",\n \"dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items, the first\",\n \"pox and the number of chickenpox vaccine doses given (varicella). Some notes on\",\n \"on interpreting the answer. The had_chickenpox_column is either 1 (for yes) or 2\",\n \"get them the vaccine. Does this dataset have the data we would need\",\n \"for females.\\\" ''' Question 4 A correlation is a statistical relationship between two\",\n \"and the second for no.\\\" ''' Question 3 It would be interesting to\",\n \"This isn’t really the full picture, since we are not looking at when\",\n \"num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return\",\n \"Question 3 It would be interesting to see if there is any evidence\",\n \"to an increase in the number of vaccine doses. Also, pval is the\",\n \"has been given of the varicella vaccine. A positive correlation (e.g., corr >\",\n \"is greater than or equal to a particular value occurred by chance. A\",\n \"keys.\\\" assert \\\"more than high school but not college\\\" in proportion_of_education().keys(), \\\"You have\",\n \"and the second for females.\\\" ''' Question 4 A correlation is a statistical\",\n \"school\\\", \\\"high school\\\", \\\"more than high school but not college\\\", \\\"college\\\"] rat =\",\n \"high school but not a college graduate (>12) and college degree. This function\",\n \"Write a function called proportion_of_education which returns the proportion of children in the\",\n \"notes on interpreting the answer. The had_chickenpox_column is either 1 (for yes) or\",\n \"assert len(average_influenza_doses())==2, \\\"Return two values in a tuple, the first for yes and\",\n \"keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the\",\n \"num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise\",\n \"that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than\",\n \"A small pval means that the observed correlation is highly unlikely to occur\",\n \"list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1]\",\n \"correct keys.\\\" assert \\\"more than high school but not college\\\" in proportion_of_education().keys(), \\\"You\",\n \"when the dose was given. It’s possible that children had chickenpox and then\",\n \"looking at when the dose was given. It’s possible that children had chickenpox\",\n \"it.\\\" assert \\\"less than high school\\\" in proportion_of_education().keys(), \\\"You have not returned a\",\n \"the correlation between the use of the vaccine and whether it results in\",\n \"a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to\",\n \"varicella dose) versus those who were vaccinated but did not contract chicken pox.\",\n \"def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1]\",\n \"of the number of children who contracted chickenpox but were vaccinated against it\",\n \"= have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected\",\n \"#喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza =\",\n \"= num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl\",\n \"should return a dictionary in the form of (use the correct numbers, do\",\n \"not returned a dictionary with the correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(),\",\n \"than high school but not college\\\" in proportion_of_education().keys(), \\\"You have not returned a\",\n \"the second for females.\\\" ''' Question 4 A correlation is a statistical relationship\",\n \"aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking for starts with\",\n \"the number of vaccine doses. Also, pval is the probability that we observe\",\n \"If we wanted to know if vaccines work, we might look at the\",\n \"NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You\",\n \"In this question, you are to see if there is a correlation between\",\n \"the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳\",\n \"do not round numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high\",\n \"this dataset have the data we would need to investigate the timing of\",\n \"[\\\"less than high school\\\", \\\"high school\\\", \\\"more than high school but not college\\\",\",\n \"should return a dictionary in the form of (use the correct numbers): {\\\"male\\\":0.2,\",\n \"1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column is the number\",\n \"dataset who had a mother with the education levels equal to less than\",\n \"return a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have not returned a dictionary\",\n \"df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group\",\n \"them the vaccine. Does this dataset have the data we would need to\",\n \"assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the\",\n \"small (will end in e-18 indicating a very small number). [1] This isn’t\",\n \"that children had chickenpox and then their parents went to get them the\",\n \"returned a dictionary with the correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You\",\n \"we would need to investigate the timing of the dose? ''' def corr_chickenpox():\",\n \"chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX'))\",\n \"correlation (e.g., corr > 0) means that an increase in had_chickenpox_column (which means\",\n \"not returned a dictionary with four items in it.\\\" assert \\\"less than high\",\n \"A positive correlation (e.g., corr > 0) means that an increase in had_chickenpox_column\",\n \"related to an increase in the number of vaccine doses. Also, pval is\",\n \"and then their parents went to get them the vaccine. Does this dataset\",\n \"should be very small (will end in e-18 indicating a very small number).\",\n \"know received breastmilk as a child and those who know did not. This\",\n \"of doses a child has been given of the varicella vaccine. A positive\",\n \"probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater\",\n \"have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected =\",\n \"the correct numbers, do not round numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4,\",\n \"looking for starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE\",\n \"raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items, the first for\",\n \"but were vaccinated against it (at least one varicella dose) versus those who\",\n \"with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox\",\n \"healthcare provider. Return a tuple of the average number of influenza vaccines for\",\n \"\\\"college\\\":0.2} ''' import scipy.stats as stats import numpy as np import pandas as\",\n \"rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] = rat[i]\",\n \"the values of num_chickenpox_vaccine_column (which means more doses of vaccine). If there is\",\n \"had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to a particular value\",\n \"school\\\":0.4, \\\"more than high school but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as\",\n \"num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected\",\n \"\\\"more than high school but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic =\",\n \"Also, pval is the probability that we observe a correlation between had_chickenpox_column and\",\n \"varicella vaccine. A positive correlation (e.g., corr > 0) means that an increase\",\n \"between vaccine effectiveness and sex of the child. Calculate the ratio of the\",\n \"college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct keys.\\\"\",\n \"question, you are to see if there is a correlation between having had\",\n \"> 0) means that an increase in had_chickenpox_column (which means more no’s) would\",\n \"vaccine. A positive correlation (e.g., corr > 0) means that an increase in\",\n \"correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to a\",\n \"first for males and the second for females.\\\" ''' Question 4 A correlation\",\n \"but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in\",\n \"it (at least one varicella dose) versus those who were vaccinated but did\",\n \"not. This function should return a tuple in the form (use the correct\",\n \"#计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic =\",\n \"of the vaccine and whether it results in prevention of the infection or\",\n \"the dose was given. It’s possible that children had chickenpox and then their\",\n \"the data we would need to investigate the timing of the dose? '''\",\n \"in it.\\\" assert \\\"less than high school\\\" in proportion_of_education().keys(), \\\"You have not returned\",\n \"''' Question 4 A correlation is a statistical relationship between two variables. If\",\n \"this case, pval should be very small (will end in e-18 indicating a\",\n \"= {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert\",\n \"no’s) would also increase the values of num_chickenpox_vaccine_column (which means more doses of\",\n \"coding: utf-8 -*- \\\"\\\"\\\" Created on Fri Sep 18 21:56:15 2020 @author: Ray\",\n \"child and getting a seasonal influenza vaccine from a healthcare provider. Return a\",\n \"dictionary with the correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have not\",\n \"cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1]\",\n \"than or equal to a particular value occurred by chance. A small pval\",\n \"should return a tuple in the form (use the correct numbers: (2.5, 0.1)\",\n \"numpy as np import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): #\",\n \"cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl =\",\n \"would be interesting to see if there is any evidence of a link\",\n \"= not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected\",\n \"be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza,\",\n \"(use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE\",\n \"there is any evidence of a link between vaccine effectiveness and sex of\",\n \"items, the first for males and the second for females.\\\" ''' Question 4\",\n \"have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0)\",\n \"not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected\",\n \"a negative correlation (e.g., corr < 0), it indicates that having had chickenpox\",\n \"''' Question 3 It would be interesting to see if there is any\",\n \"for starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE\",\n \"increase in the number of vaccine doses. Also, pval is the probability that\",\n \"a tuple, the first for yes and the second for no.\\\" ''' Question\",\n \"of num_chickenpox_vaccine_column (which means more doses of vaccine). If there is a negative\",\n \"This function should return a tuple in the form (use the correct numbers:\",\n \"since we are not looking at when the dose was given. It’s possible\",\n \"very small number). [1] This isn’t really the full picture, since we are\",\n \"seasonal influenza vaccine from a healthcare provider. Return a tuple of the average\",\n \"dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX,\",\n \"the vaccine and whether it results in prevention of the infection or disease\",\n \"HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox\",\n \"num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected /\",\n \"tuple of the average number of influenza vaccines for those children we know\",\n \"evidence of a link between vaccine effectiveness and sex of the child. Calculate\",\n \"school but not a college graduate (>12) and college degree. This function should\",\n \"= be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return\",\n \"raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in a tuple, the first for\",\n \"high school but not college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary\",\n \"between two variables. If we wanted to know if vaccines work, we might\",\n \"high school but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for\",\n \"a dictionary with two items, the first for males and the second for\",\n \"of the varicella vaccine. A positive correlation (e.g., corr > 0) means that\",\n \"proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct keys.\\\" assert \\\"high\",\n \"chickenpox is related to an increase in the number of vaccine doses. Also,\",\n \"whether it results in prevention of the infection or disease [1]. In this\",\n \"(for no), and the num_chickenpox_vaccine_column is the number of doses a child has\",\n \"be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean()\",\n \"In this case, pval should be very small (will end in e-18 indicating\",\n \"have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染\",\n \"vaccine). If there is a negative correlation (e.g., corr < 0), it indicates\",\n \"zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than high school\\\", \\\"high school\\\",\",\n \"\\\"Return a dictionary with two items, the first for males and the second\",\n \"form of (use the correct numbers, do not round numbers): {\\\"less than high\",\n \"vaccine. Does this dataset have the data we would need to investigate the\",\n \"= [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in\",\n \"there is a negative correlation (e.g., corr < 0), it indicates that having\",\n \"= [\\\"less than high school\\\", \\\"high school\\\", \\\"more than high school but not\",\n \"values of num_chickenpox_vaccine_column (which means more doses of vaccine). If there is a\",\n \"0) means that an increase in had_chickenpox_column (which means more no’s) would also\",\n \"3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df\",\n \"num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] = ratio_boy dic['female']\",\n \"< 0), it indicates that having had chickenpox is related to an increase\",\n \"breastmilk as a child and getting a seasonal influenza vaccine from a healthcare\",\n \"which returns the proportion of children in the dataset who had a mother\",\n \"who know did not. This function should return a tuple in the form\",\n \"school but not college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with\",\n \"the infection or disease [1]. In this question, you are to see if\",\n \"chance. In this case, pval should be very small (will end in e-18\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\" Created on Fri Sep 18 21:56:15 2020\",\n \"tuple, the first for yes and the second for no.\\\" ''' Question 3\",\n \"not looking at when the dose was given. It’s possible that children had\",\n \"edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than high\",\n \"dic = {} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError()\",\n \"having had the chicken pox and the number of chickenpox vaccine doses given\",\n \"explore the relationship between being fed breastmilk as a child and getting a\",\n \"investigate the timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox\",\n \"is highly unlikely to occur by chance. In this case, pval should be\",\n \"correlation (e.g., corr < 0), it indicates that having had chickenpox is related\",\n \"#未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert\",\n \"Created on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305\",\n \"[1]. In this question, you are to see if there is a correlation\",\n \"2 Let's explore the relationship between being fed breastmilk as a child and\",\n \"child. Calculate the ratio of the number of children who contracted chickenpox but\",\n \"== 4, \\\"You have not returned a dictionary with four items in it.\\\"\",\n \"a child and getting a seasonal influenza vaccine from a healthcare provider. Return\",\n \"might look at the correlation between the use of the vaccine and whether\",\n \"dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have not returned a dictionary with four\",\n \"autograder is looking for starts with the digits 0.0077. ''' def chickenpox_by_sex(): #\",\n \"Does this dataset have the data we would need to investigate the timing\",\n \"would need to investigate the timing of the dose? ''' def corr_chickenpox(): cpox\",\n \"# your code goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list\",\n \"effectiveness and sex of the child. Calculate the ratio of the number of\",\n \"= ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two\",\n \"the full picture, since we are not looking at when the dose was\",\n \"assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\\\"\",\n \"(varicella). Some notes on interpreting the answer. The had_chickenpox_column is either 1 (for\",\n \"four items in it.\\\" assert \\\"less than high school\\\" in proportion_of_education().keys(), \\\"You have\",\n \"assert \\\"more than high school but not college\\\" in proportion_of_education().keys(), \\\"You have not\",\n \"Let's explore the relationship between being fed breastmilk as a child and getting\",\n \"a dictionary with four items in it.\\\" assert \\\"less than high school\\\" in\",\n \"proportion of children in the dataset who had a mother with the education\",\n \"occur by chance. In this case, pval should be very small (will end\",\n \"items in it.\\\" assert \\\"less than high school\\\" in proportion_of_education().keys(), \\\"You have not\",\n \"the form of (use the correct numbers, do not round numbers): {\\\"less than\",\n \"doses given (varicella). Some notes on interpreting the answer. The had_chickenpox_column is either\",\n \"really the full picture, since we are not looking at when the dose\",\n \"Return results by sex. This function should return a dictionary in the form\",\n \"the ratio of the number of children who contracted chickenpox but were vaccinated\",\n \"#接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected\",\n \"num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male'] =\",\n \"did not contract chicken pox. Return results by sex. This function should return\",\n \"num_chickenpox_vaccine_column is the number of doses a child has been given of the\",\n \"2 (for no), and the num_chickenpox_vaccine_column is the number of doses a child\",\n \"small pval means that the observed correlation is highly unlikely to occur by\",\n \"return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in a tuple,\",\n \"a seasonal influenza vaccine from a healthcare provider. Return a tuple of the\",\n \"the first for males and the second for females.\\\" ''' Question 4 A\",\n \"the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox =\",\n \"school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school but not college\\\":0.2, \\\"college\\\":0.2} ''' import\",\n \"= dict() for i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError()\",\n \"in a tuple, the first for yes and the second for no.\\\" '''\",\n \"len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items, the first for males and the\",\n \"we might look at the correlation between the use of the vaccine and\",\n \"if vaccines work, we might look at the correlation between the use of\",\n \"RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a function called proportion_of_education which returns the\",\n \"given of the varicella vaccine. A positive correlation (e.g., corr > 0) means\",\n \"we are not looking at when the dose was given. It’s possible that\",\n \"with the correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have not returned\",\n \"{\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder is\",\n \"the number of chickenpox vaccine doses given (varicella). Some notes on interpreting the\",\n \"dictionary with the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned\",\n \"the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary\",\n \"np import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code\",\n \"have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染\",\n \"raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert len(proportion_of_education()) == 4,\",\n \"return a dictionary in the form of (use the correct numbers, do not\",\n \"doses of vaccine). If there is a negative correlation (e.g., corr < 0),\",\n \"(use the correct numbers, do not round numbers): {\\\"less than high school\\\":0.2, \\\"high\",\n \"a dictionary with the correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have\",\n \"a statistical relationship between two variables. If we wanted to know if vaccines\",\n \"def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC}) corr,\",\n \"have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\\\"had_chickenpox_column\\\"],df1[\\\"num_chickenpox_vaccine_column\\\"]) return corr raise NotImplementedError()\",\n \"with four items in it.\\\" assert \\\"less than high school\\\" in proportion_of_education().keys(), \\\"You\",\n \"YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df\",\n \"= list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl =\",\n \"(e.g., corr < 0), it indicates that having had chickenpox is related to\",\n \"= list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group\",\n \"prevention of the infection or disease [1]. In this question, you are to\",\n \"not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected\",\n \"contract chicken pox. Return results by sex. This function should return a dictionary\",\n \"have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected =\",\n \"This function should return a dictionary in the form of (use the correct\",\n \"that an increase in had_chickenpox_column (which means more no’s) would also increase the\",\n \"is either 1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column is\",\n \"\\\"You have not returned a dictionary with the correct keys.\\\" assert \\\"college\\\" in\",\n \"Some notes on interpreting the answer. The had_chickenpox_column is either 1 (for yes)\",\n \"df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes here # YOUR CODE\",\n \"returns the proportion of children in the dataset who had a mother with\",\n \"vaccinated but did not contract chicken pox. Return results by sex. This function\",\n \"those children we know received breastmilk as a child and those who know\",\n \"but did not contract chicken pox. Return results by sex. This function should\",\n \"ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary\",\n \"fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza\",\n \"= list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy =\",\n \"greater than or equal to a particular value occurred by chance. A small\",\n \"@author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a function\",\n \"vaccine effectiveness and sex of the child. Calculate the ratio of the number\",\n \"but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats import numpy as np\",\n \"than high school (<12), high school (12), more than high school but not\",\n \"have not returned a dictionary with the correct\\\" ''' Question 2 Let's explore\",\n \"the probability that we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is\",\n \"for males and the second for females.\\\" ''' Question 4 A correlation is\",\n \"def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group =\",\n \"a function called proportion_of_education which returns the proportion of children in the dataset\",\n \"tuple in the form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses():\",\n \"not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)]\",\n \"correlation is highly unlikely to occur by chance. In this case, pval should\",\n \"dict() for i in range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert\",\n \"(have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC']\",\n \"assert \\\"less than high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary\",\n \"NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items, the first for males\",\n \"against it (at least one varicella dose) versus those who were vaccinated but\",\n \"2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a\",\n \"import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes\",\n \"not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in a\",\n \"of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) |\",\n \"Note: To aid in verification, the chickenpox_by_sex()['female'] value the autograder is looking for\",\n \"the average number of influenza vaccines for those children we know received breastmilk\",\n \"than high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the\",\n \"The had_chickenpox_column is either 1 (for yes) or 2 (for no), and the\",\n \"the education levels equal to less than high school (<12), high school (12),\",\n \"is the number of doses a child has been given of the varicella\",\n \"more doses of vaccine). If there is a negative correlation (e.g., corr <\",\n \"1 Write a function called proportion_of_education which returns the proportion of children in\",\n \"assert len(proportion_of_education()) == 4, \\\"You have not returned a dictionary with four items\",\n \"the relationship between being fed breastmilk as a child and getting a seasonal\",\n \"yes and the second for no.\\\" ''' Question 3 It would be interesting\",\n \"pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes here\",\n \"not returned a dictionary with the correct\\\" ''' Question 2 Let's explore the\",\n \"(<12), high school (12), more than high school but not a college graduate\",\n \"the form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR\",\n \"results in prevention of the infection or disease [1]. In this question, you\",\n \"link between vaccine effectiveness and sex of the child. Calculate the ratio of\",\n \"the timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()] have_cpox =\",\n \"than high school but not college\\\":0.2, \\\"college\\\":0.2} ''' import scipy.stats as stats import\",\n \"a mother with the education levels equal to less than high school (<12),\",\n \"(>12) and college degree. This function should return a dictionary in the form\",\n \"<EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a function called proportion_of_education which\",\n \"sum_ret = zero_df.sum(axis=0) name_l = [\\\"less than high school\\\", \\\"high school\\\", \\\"more than\",\n \"number). [1] This isn’t really the full picture, since we are not looking\",\n \"no), and the num_chickenpox_vaccine_column is the number of doses a child has been\",\n \"CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group = list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1]\",\n \"utf-8 -*- \\\"\\\"\\\" Created on Fri Sep 18 21:56:15 2020 @author: Ray @email:\",\n \"second for females.\\\" ''' Question 4 A correlation is a statistical relationship between\",\n \"that the observed correlation is highly unlikely to occur by chance. In this\",\n \"Question 1 Write a function called proportion_of_education which returns the proportion of children\",\n \"returned a dictionary with the correct keys.\\\" assert \\\"more than high school but\",\n \"numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk =\",\n \"= list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza\",\n \"range(4): dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return\",\n \"see if there is any evidence of a link between vaccine effectiveness and\",\n \"Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question\",\n \"the dataset who had a mother with the education levels equal to less\",\n \"college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]]\",\n \"= not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in\",\n \"Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a function called\",\n \"answer. The had_chickenpox_column is either 1 (for yes) or 2 (for no), and\",\n \"no.\\\" ''' Question 3 It would be interesting to see if there is\",\n \"zero_df.sum(axis=0) name_l = [\\\"less than high school\\\", \\\"high school\\\", \\\"more than high school\",\n \"the correct keys.\\\" assert \\\"more than high school but not college\\\" in proportion_of_education().keys(),\",\n \"which is greater than or equal to a particular value occurred by chance.\",\n \"more than high school but not a college graduate (>12) and college degree.\",\n \"e-18 indicating a very small number). [1] This isn’t really the full picture,\",\n \"= be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise\",\n \"list(df.groupby(by='HAD_CPOX')) have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group =\",\n \"HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0],\",\n \"not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)] num_not_have_cpox_boy_injected = not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy =\",\n \"college degree. This function should return a dictionary in the form of (use\",\n \"between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or equal to a particular\",\n \"than high school but not college\\\", \\\"college\\\"] rat = sum_ret.values/sum(sum_ret.values) dic = dict()\",\n \"child and those who know did not. This function should return a tuple\",\n \"import scipy.stats as stats import numpy as np import pandas as pd df\",\n \"the autograder is looking for starts with the digits 0.0077. ''' def chickenpox_by_sex():\",\n \"those who know did not. This function should return a tuple in the\",\n \"sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] = rat[i] return dic\",\n \"num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected = have_cpox_girl_injected.count()['SEQNUMC'] #接种未感染 not_have_cpox_boy_injected = not_have_cpox_boy[(not_have_cpox_boy['P_NUMVRC']>0)]\",\n \"= ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a\",\n \"infection or disease [1]. In this question, you are to see if there\",\n \"school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct keys.\\\"\",\n \"least one varicella dose) versus those who were vaccinated but did not contract\",\n \"second for no.\\\" ''' Question 3 It would be interesting to see if\",\n \"numbers, do not round numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than\",\n \"''' Question 1 Write a function called proportion_of_education which returns the proportion of\",\n \"not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl\",\n \"\\\"\\\"\\\" Created on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat:\",\n \"chickenpox but were vaccinated against it (at least one varicella dose) versus those\",\n \"= not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected =\",\n \"and college degree. This function should return a dictionary in the form of\",\n \"between being fed breastmilk as a child and getting a seasonal influenza vaccine\",\n \"a dictionary in the form of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note:\",\n \"contracted chickenpox but were vaccinated against it (at least one varicella dose) versus\",\n \"we observe a correlation between had_chickenpox_column and num_chickenpox_vaccine_column which is greater than or\",\n \"return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2, \\\"Return a dictionary with two items, the\",\n \"ratio of the number of children who contracted chickenpox but were vaccinated against\",\n \"0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk\",\n \"assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have\",\n \"fed breastmilk as a child and getting a seasonal influenza vaccine from a\",\n \"= num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl = num_have_cpox_girl_injected / num_not_have_cpox_girl_injected dic = {} dic['male']\",\n \"levels equal to less than high school (<12), high school (12), more than\",\n \"of (use the correct numbers, do not round numbers): {\\\"less than high school\\\":0.2,\",\n \"num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values\",\n \"to investigate the timing of the dose? ''' def corr_chickenpox(): cpox = df[(df.P_NUMVRC).notnull()]\",\n \"= df.EDUC1 edu_list = [1, 2, 3, 4] zero_df = pd.DataFrame(np.zeros((df_edu.shape[0], len(edu_list))), columns=edu_list)\",\n \"but not college\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary with the\",\n \"interesting to see if there is any evidence of a link between vaccine\",\n \"increase the values of num_chickenpox_vaccine_column (which means more doses of vaccine). If there\",\n \"there is a correlation between having had the chicken pox and the number\",\n \"with the correct keys.\\\" assert \\\"more than high school but not college\\\" in\",\n \"(use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification, the chickenpox_by_sex()['female']\",\n \"of vaccine). If there is a negative correlation (e.g., corr < 0), it\",\n \"pox. Return results by sex. This function should return a dictionary in the\",\n \"correlation is a statistical relationship between two variables. If we wanted to know\",\n \"-*- \\\"\\\"\\\" Created on Fri Sep 18 21:56:15 2020 @author: Ray @email: <EMAIL>\",\n \"being fed breastmilk as a child and getting a seasonal influenza vaccine from\",\n \"fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza\",\n \"need to investigate the timing of the dose? ''' def corr_chickenpox(): cpox =\",\n \"CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目\",\n \"''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX #cpox.value_counts() cpox_group\",\n \"interpreting the answer. The had_chickenpox_column is either 1 (for yes) or 2 (for\",\n \"females.\\\" ''' Question 4 A correlation is a statistical relationship between two variables.\",\n \"dictionary with the correct\\\" ''' Question 2 Let's explore the relationship between being\",\n \"in e-18 indicating a very small number). [1] This isn’t really the full\",\n \"given. It’s possible that children had chickenpox and then their parents went to\",\n \"have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)]\",\n \"have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy\",\n \"children we know received breastmilk as a child and those who know did\",\n \"dic = dict() for i in range(4): dic[name_l[i]] = rat[i] return dic raise\",\n \"A correlation is a statistical relationship between two variables. If we wanted to\",\n \"the varicella vaccine. A positive correlation (e.g., corr > 0) means that an\",\n \"had chickenpox is related to an increase in the number of vaccine doses.\",\n \"return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert len(proportion_of_education())\",\n \"not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected\",\n \"= fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza = be_fed_breastmilk_influenza.dropna().mean() #未喂养母乳的influenza数目 not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU\",\n \"of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid in verification, the\",\n \"not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected ratio_girl\",\n \"correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE HERE #是否喂养母乳 fed_breastmilk\",\n \"then their parents went to get them the vaccine. Does this dataset have\",\n \"cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy =\",\n \"3 It would be interesting to see if there is any evidence of\",\n \"Return a tuple of the average number of influenza vaccines for those children\",\n \"proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct\\\" ''' Question 2\",\n \"correct keys.\\\" assert \\\"high school\\\" in proportion_of_education().keys(), \\\"You have not returned a dictionary\",\n \"fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU\",\n \"18 21:56:15 2020 @author: Ray @email: <EMAIL> @wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1\",\n \"Calculate the ratio of the number of children who contracted chickenpox but were\",\n \"very small (will end in e-18 indicating a very small number). [1] This\",\n \"@wechat: RayTing0305 \\\"\\\"\\\" ''' Question 1 Write a function called proportion_of_education which returns\",\n \"\\\"\\\"\\\" ''' Question 1 Write a function called proportion_of_education which returns the proportion\",\n \"a link between vaccine effectiveness and sex of the child. Calculate the ratio\",\n \"as stats import numpy as np import pandas as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\")\",\n \"goes here # YOUR CODE HERE df_edu = df.EDUC1 edu_list = [1, 2,\",\n \"returned a dictionary with the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have\",\n \"rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\" assert\",\n \"If there is a negative correlation (e.g., corr < 0), it indicates that\",\n \"pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes here # YOUR\",\n \"= have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)]\",\n \"to see if there is any evidence of a link between vaccine effectiveness\",\n \"num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2, \\\"Return two values in a tuple, the first\",\n \"chicken pox and the number of chickenpox vaccine doses given (varicella). Some notes\",\n \"negative correlation (e.g., corr < 0), it indicates that having had chickenpox is\",\n \"any evidence of a link between vaccine effectiveness and sex of the child.\",\n \"have not returned a dictionary with the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(),\",\n \"education levels equal to less than high school (<12), high school (12), more\",\n \"CODE HERE df_edu = df.EDUC1 edu_list = [1, 2, 3, 4] zero_df =\",\n \"isn’t really the full picture, since we are not looking at when the\",\n \"a child has been given of the varicella vaccine. A positive correlation (e.g.,\",\n \"value the autograder is looking for starts with the digits 0.0077. ''' def\",\n \"HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza\",\n \"who were vaccinated but did not contract chicken pox. Return results by sex.\",\n \"YOUR CODE HERE #是否喂养母乳 fed_breastmilk = list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1]\",\n \"len(average_influenza_doses())==2, \\\"Return two values in a tuple, the first for yes and the\",\n \"chickenpox_by_sex()['female'] value the autograder is looking for starts with the digits 0.0077. '''\",\n \"the chickenpox_by_sex()['female'] value the autograder is looking for starts with the digits 0.0077.\",\n \"that having had chickenpox is related to an increase in the number of\",\n \"= sum_ret.values/sum(sum_ret.values) dic = dict() for i in range(4): dic[name_l[i]] = rat[i] return\",\n \"list(df.groupby(by='CBF_01')) be_fed_breastmilk = fed_breastmilk[0][1] not_fed_breastmilk = fed_breastmilk[1][1] #喂养母乳的influenza数目 be_fed_breastmilk_influenza = be_fed_breastmilk.P_NUMFLU num_be_fed_breastmilk_influenza =\",\n \"the chicken pox and the number of chickenpox vaccine doses given (varicella). Some\",\n \"picture, since we are not looking at when the dose was given. It’s\",\n \"starts with the digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella\",\n \"who had a mother with the education levels equal to less than high\",\n \"digits 0.0077. ''' def chickenpox_by_sex(): # YOUR CODE HERE #是否感染Varicella cpox = df.HAD_CPOX\",\n \"means that an increase in had_chickenpox_column (which means more no’s) would also increase\",\n \"vaccine doses given (varicella). Some notes on interpreting the answer. The had_chickenpox_column is\",\n \"= df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\\\"had_chickenpox_column\\\"],df1[\\\"num_chickenpox_vaccine_column\\\"]) return corr\",\n \"= not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected =\",\n \"#have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected =\",\n \"either 1 (for yes) or 2 (for no), and the num_chickenpox_vaccine_column is the\",\n \"columns=edu_list) for edu in edu_list: zero_df[edu][df_edu==edu]=1 #zero_df sum_ret = zero_df.sum(axis=0) name_l = [\\\"less\",\n \"pval should be very small (will end in e-18 indicating a very small\",\n \"4 A correlation is a statistical relationship between two variables. If we wanted\",\n \"not_be_fed_breastmilk_influenza = not_fed_breastmilk.P_NUMFLU num_not_be_fed_breastmilk_influenza = not_be_fed_breastmilk_influenza.dropna().mean() return num_be_fed_breastmilk_influenza, num_not_be_fed_breastmilk_influenza raise NotImplementedError() assert len(average_influenza_doses())==2,\",\n \"one varicella dose) versus those who were vaccinated but did not contract chicken\",\n \"with the correct keys.\\\" assert \\\"college\\\" in proportion_of_education().keys(), \\\"You have not returned a\",\n \"have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1] not_have_cpox_boy = not_have_cpox_group[0][1] not_have_cpox_girl = not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected =\",\n \"the first for yes and the second for no.\\\" ''' Question 3 It\",\n \"as pd df = pd.read_csv(\\\"./assets/NISPUF17.csv\\\") def proportion_of_education(): # your code goes here #\",\n \"name_l = [\\\"less than high school\\\", \\\"high school\\\", \\\"more than high school but\",\n \"a dictionary.\\\" assert len(proportion_of_education()) == 4, \\\"You have not returned a dictionary with\",\n \"chickenpox vaccine doses given (varicella). Some notes on interpreting the answer. The had_chickenpox_column\",\n \"of chickenpox vaccine doses given (varicella). Some notes on interpreting the answer. The\",\n \"to less than high school (<12), high school (12), more than high school\",\n \"#男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1] have_cpox_girl = have_cpox_group[1][1]\",\n \"dataset have the data we would need to investigate the timing of the\",\n \"for those children we know received breastmilk as a child and those who\",\n \"in prevention of the infection or disease [1]. In this question, you are\",\n \"not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX')) have_cpox_boy = have_cpox_group[0][1]\",\n \"form (use the correct numbers: (2.5, 0.1) ''' def average_influenza_doses(): # YOUR CODE\",\n \"return a tuple in the form (use the correct numbers: (2.5, 0.1) '''\",\n \"dic[name_l[i]] = rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a\",\n \"returned a dictionary with the correct\\\" ''' Question 2 Let's explore the relationship\",\n \"the second for no.\\\" ''' Question 3 It would be interesting to see\",\n \"proportion_of_education which returns the proportion of children in the dataset who had a\",\n \"have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC'] have_cpox_girl_injected = have_cpox_girl[(have_cpox_girl['P_NUMVRC']>0)] num_have_cpox_girl_injected\",\n \"corr > 0) means that an increase in had_chickenpox_column (which means more no’s)\",\n \"\\\"more than high school but not college\\\" in proportion_of_education().keys(), \\\"You have not returned\",\n \"or 2 (for no), and the num_chickenpox_vaccine_column is the number of doses a\",\n \"not_have_cpox_group[1][1] #接种感染 #have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMMMR']>0) | (have_cpox_boy['P_NUMVRC']>0)] have_cpox_boy_injected = have_cpox_boy[(have_cpox_boy['P_NUMVRC']>0)] num_have_cpox_boy_injected = have_cpox_boy_injected.count()['SEQNUMC']\",\n \"not_have_cpox_boy_injected.count()['SEQNUMC'] not_have_cpox_girl_injected = not_have_cpox_girl[(not_have_cpox_girl['P_NUMVRC']>0)] num_not_have_cpox_girl_injected = not_have_cpox_girl_injected.count()['SEQNUMC'] #计算比例 ratio_boy = num_have_cpox_boy_injected / num_not_have_cpox_boy_injected\",\n \"correlation between having had the chicken pox and the number of chickenpox vaccine\",\n \"with two items, the first for males and the second for females.\\\" '''\",\n \"have_cpox = cpox_group[0][1] not_have_cpox = cpox_group[1][1] #男女分开 have_cpox_group = list(have_cpox.groupby(by='SEX')) not_have_cpox_group = list(not_have_cpox.groupby(by='SEX'))\",\n \"and sex of the child. Calculate the ratio of the number of children\",\n \"chance. A small pval means that the observed correlation is highly unlikely to\",\n \"not contract chicken pox. Return results by sex. This function should return a\",\n \"vaccines work, we might look at the correlation between the use of the\",\n \"in the form of (use the correct numbers): {\\\"male\\\":0.2, \\\"female\\\":0.4} Note: To aid\",\n \"numbers): {\\\"less than high school\\\":0.2, \\\"high school\\\":0.4, \\\"more than high school but not\",\n \"\\\"You have not returned a dictionary with the correct\\\" ''' Question 2 Let's\",\n \"or equal to a particular value occurred by chance. A small pval means\",\n \"two variables. If we wanted to know if vaccines work, we might look\",\n \"between the use of the vaccine and whether it results in prevention of\",\n \"= rat[i] return dic raise NotImplementedError() assert type(proportion_of_education())==type({}), \\\"You must return a dictionary.\\\"\",\n \"to know if vaccines work, we might look at the correlation between the\",\n \"by chance. A small pval means that the observed correlation is highly unlikely\",\n \"data we would need to investigate the timing of the dose? ''' def\",\n \"for yes and the second for no.\\\" ''' Question 3 It would be\",\n \"from a healthcare provider. Return a tuple of the average number of influenza\",\n \"proportion_of_education().keys(), \\\"You have not returned a dictionary with the correct keys.\\\" assert \\\"more\",\n \"high school (<12), high school (12), more than high school but not a\",\n \"df[(df.P_NUMVRC).notnull()] have_cpox = cpox[(cpox.HAD_CPOX==1) | (cpox.HAD_CPOX==2)] df1=pd.DataFrame({\\\"had_chickenpox_column\\\":have_cpox.HAD_CPOX, \\\"num_chickenpox_vaccine_column\\\":have_cpox.P_NUMVRC}) corr, pval=stats.pearsonr(df1[\\\"had_chickenpox_column\\\"],df1[\\\"num_chickenpox_vaccine_column\\\"]) return corr raise\",\n \"occurred by chance. A small pval means that the observed correlation is highly\",\n \"if there is a correlation between having had the chicken pox and the\",\n \"(which means more doses of vaccine). If there is a negative correlation (e.g.,\",\n \"{} dic['male'] = ratio_boy dic['female'] = ratio_girl return dic raise NotImplementedError() assert len(chickenpox_by_sex())==2,\",\n \"is a statistical relationship between two variables. If we wanted to know if\",\n \"corr < 0), it indicates that having had chickenpox is related to an\",\n \"\\\"Return two values in a tuple, the first for yes and the second\",\n \"observed correlation is highly unlikely to occur by chance. In this case, pval\"\n]","isConversational":false}}},{"rowIdx":760,"cells":{"ngram":{"kind":"list like","value":["next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir","print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear()","c_start = start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2]))","c_volume = [] c_date = [] c_start = start + 12 for x","+ str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') # print('last","line in f.readlines() for s in line[:-1].split(\",\")] # for stock in output: pd","value: '+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir","high = [] low = [] close = [] volume = [] #","sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig","decision = \"sell\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03","plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last value: \" +","print( \"range of values in next 13 bars: \" + str(min_forecast) + \"-\"","data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) /","' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear()","value is bigger') # print('last value: ' + str(close[-1])) # print('next value: '","= [] c_volume = [] c_date = [] c_start = start + 12","matplotlib.pyplot as plt import mpl_finance import numpy as np import uuid import matplotlib","* 1.03 < max_forecast: decision = \"buy\" # for z in all_prices: #","# output = [str(s) for line in f.readlines() for s in line[:-1].split(\",\")] #","[] c_close = [] c_volume = [] c_date = [] c_start = start","# print('previous value is bigger') # print('last value: ' + str(close[-1])) # print('next","print('previous value is bigger') # print('last value: ' + str(close[-1])) # print('next value:","mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high,","= list(sma) diff = sma[-1] - sma[-2] for x in range(len(close) - len(smb)):","value: ' + str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') #","in all_prices: # if close[-1] * 1.03 < z: # decision = \"buy\"","sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1,","str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg',","= [] high = [] low = [] close = [] volume =","= [] c_date = [] c_start = start + 12 for x in","file. Other financial data files have different orders so you need to find","for x in range(finish - start): # Below filtering is valid for eurusd.csv","open(\"STOCKbluechip.csv\") as f: # output = [str(s) for line in f.readlines() for s","bbox_inches=\"tight\") # if close[-1] >= close_next: # print('previous value is bigger') # print('last","str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1] >=","\" + str(close[-1])) print( \"range of values in next 13 bars: \" +","graphwerk(start, finish): open = [] high = [] low = [] close =","alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\":","# mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close,","1.03 < max_forecast: decision = \"buy\" # for z in all_prices: # if","# Below filtering is valid for eurusd.csv file. Other financial data files have","print('last value: ' + str(close[-1])) # print('next value: ' + str(close_next)) # print('sell')","print(\"last value: \" + str(close[-1])) print( \"range of values in next 13 bars:","+ str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir +","from numpy import genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as","width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\",","str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\")","f: # output = [str(s) for line in f.readlines() for s in line[:-1].split(\",\")]","mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() #","different orders so you need to find out # what means open, high","max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision = \"buy\" #","period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish): open = []","# Input your csv file here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\",","colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5","s in line[:-1].split(\",\")] # for stock in output: pd = ad buy_dir =","1.03 < z: # decision = \"buy\" sma = convolve_sma(close, 5) smb =","start + 1 decision = \"sell\" min_forecast = min(c_low) max_forecast = max(c_high) if","numpy import genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as np","output = [] # with open(\"STOCKbluechip.csv\") as f: # output = [str(s) for","= start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3]))","+ str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\",","z: # decision = \"buy\" sma = convolve_sma(close, 5) smb = list(sma) diff","range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\",","import genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as np import","[] c_open = [] c_high = [] c_low = [] c_close = []","# plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla()","close = [] volume = [] # decision = [] date = []","fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open,","to find out # what means open, high and close in their respective","\"../data/train/sell/\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter","print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next: #","- sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig =","dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b',","= convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2] for x","with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array,","c_start + 1 for x in range(finish - start): # Below filtering is","bbox_inches='tight') # else: # print('previous value is smaller') # print('last value: '+ str(close[-1]))","\"sell\": print(\"last value: \" + str(close[-1])) print( \"range of values in next 13","x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3),","financial data files have different orders so you need to find out #","in next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\")","date.append(pd[start][0]) start = start + 1 decision = \"sell\" min_forecast = min(c_low) max_forecast","bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4())","c_high = [] c_low = [] c_close = [] c_volume = [] c_date","delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start,","- start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1","# print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy')","for z in all_prices: # if close[-1] * 1.03 < z: # decision","buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0 for x in range(len(pd)):","range(finish - start): # Below filtering is valid for eurusd.csv file. Other financial","\" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) +","= c_start + 1 for x in range(finish - start): # Below filtering","decision = \"buy\" sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1]","and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6]))","pd = ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0 for","eurusd.csv file. Other financial data files have different orders so you need to","5) smb = list(sma) diff = sma[-1] - sma[-2] for x in range(len(close)","c_date = [] c_start = start + 12 for x in range(finish -","= [] c_open = [] c_high = [] c_low = [] c_close =","= \"buy\" sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1] -","sell_dir = \"../data/train/sell/\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter +","[] high = [] low = [] close = [] volume = []","close[-1] * 1.03 < z: # decision = \"buy\" sma = convolve_sma(close, 5)","ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period,","dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl(","for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start","for s in line[:-1].split(\",\")] # for stock in output: pd = ad buy_dir",") print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" +","iter = 0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter =","diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) #","# else: # print('previous value is smaller') # print('last value: '+ str(close[-1])) #","high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) #","as f: # output = [str(s) for line in f.readlines() for s in","+ str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value:","# print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value","= \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0 for x in range(len(pd)): graphwerk(iter,","need to find out # what means open, high and close in their","open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] # with","[] volume = [] # decision = [] date = [] c_open =","plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') #","= [] c_low = [] c_close = [] c_volume = [] c_date =","x in range(finish - start): # Below filtering is valid for eurusd.csv file.","# plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller')","if decision == \"sell\": print(\"last value: \" + str(close[-1])) print( \"range of values","else: print(\"last value: \" + str(close[-1])) print( \"range of values in next 13","bigger') # print('last value: ' + str(close[-1])) # print('next value: ' + str(close_next))","next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir","plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf()","start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for","== \"sell\": print(\"last value: \" + str(close[-1])) print( \"range of values in next",") plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last","for line in f.readlines() for s in line[:-1].split(\",\")] # for stock in output:","high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5)","str(close[-1])) print( \"range of values in next 13 bars: \" + str(min_forecast) +","ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0 for x in","value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') #","if close[-1] * 1.03 < max_forecast: decision = \"buy\" # for z in","< max_forecast: decision = \"buy\" # for z in all_prices: # if close[-1]","volume = [] # decision = [] date = [] c_open = []","= [] volume = [] # decision = [] date = [] c_open","mpl_finance import numpy as np import uuid import matplotlib # Input your csv","# decision = [] date = [] c_open = [] c_high = []","alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale()","plt.axis(\"off\") if decision == \"sell\": print(\"last value: \" + str(close[-1])) print( \"range of","output = [str(s) for line in f.readlines() for s in line[:-1].split(\",\")] # for","+ \".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next: # print('previous value is bigger')","c_low = [] c_close = [] c_volume = [] c_date = [] c_start","+ 1 decision = \"sell\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1]","# print('last value: ' + str(close[-1])) # print('next value: ' + str(close_next)) #","[] c_high = [] c_low = [] c_close = [] c_volume = []","decision == \"sell\": print(\"last value: \" + str(close[-1])) print( \"range of values in","as plt import mpl_finance import numpy as np import uuid import matplotlib #","= ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0 for x","= fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx,","str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') # print('last value:","start): # Below filtering is valid for eurusd.csv file. Other financial data files","= [] low = [] close = [] volume = [] # decision","historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,))","of values in next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast)","print('previous value is smaller') # print('last value: '+ str(close[-1])) # print('next value: '","import matplotlib.pyplot as plt import mpl_finance import numpy as np import uuid import","numpy as np import uuid import matplotlib # Input your csv file here","= [] c_start = start + 12 for x in range(finish - start):","+ str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear()","close[-1] * 1.03 < max_forecast: decision = \"buy\" # for z in all_prices:","- len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\")","[] date = [] c_open = [] c_high = [] c_low = []","plt import mpl_finance import numpy as np import uuid import matplotlib # Input","filtering is valid for eurusd.csv file. Other financial data files have different orders","[] c_volume = [] c_date = [] c_start = start + 12 for","bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output =","plt.clf() # output = [] # with open(\"STOCKbluechip.csv\") as f: # output =","import mpl_finance import numpy as np import uuid import matplotlib # Input your","bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1])) print( \"range of values in next","import numpy as np import uuid import matplotlib # Input your csv file","uuid import matplotlib # Input your csv file here with historical data ad","x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start =","plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1])) print(","linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last value: \" + str(close[-1])) print(","= [str(s) for line in f.readlines() for s in line[:-1].split(\",\")] # for stock","respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start","\"range of values in next 13 bars: \" + str(min_forecast) + \"-\" +","\" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) +","+ str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\",","= \"buy\" # for z in all_prices: # if close[-1] * 1.03 <","[] c_date = [] c_start = start + 12 for x in range(finish","open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5]))","min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision","\"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last","# decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \"sell\" min_forecast =","str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \"","' + str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir","max_forecast: decision = \"buy\" # for z in all_prices: # if close[-1] *","low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\")","dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish):","convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish): open =","colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 )","if close[-1] * 1.03 < z: # decision = \"buy\" sma = convolve_sma(close,",") print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next:","\"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if","c_open = [] c_high = [] c_low = [] c_close = [] c_volume","# for z in all_prices: # if close[-1] * 1.03 < z: #","np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish): open = [] high =","files have different orders so you need to find out # what means","close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10,","return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish): open = [] high","list(sma) diff = sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1]","low = [] close = [] volume = [] # decision = []","# print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg',","+ str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() #","genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def","# plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last value: \"","color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last value: \" + str(close[-1]))","[] # with open(\"STOCKbluechip.csv\") as f: # output = [str(s) for line in","c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x","plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next: # print('previous","output: pd = ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0","finish): open = [] high = [] low = [] close = []","def graphwerk(start, finish): open = [] high = [] low = [] close","for stock in output: pd = ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\"","= [] # with open(\"STOCKbluechip.csv\") as f: # output = [str(s) for line","else: # print('previous value is smaller') # print('last value: '+ str(close[-1])) # print('next","+ \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") #","you need to find out # what means open, high and close in","# plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = []","# print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear()","str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1])) print( \"range of","convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2] for x in","+ \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1])) print( \"range of values","12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0])","close[-1] >= close_next: # print('previous value is bigger') # print('last value: ' +","range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start +","decision = \"buy\" # for z in all_prices: # if close[-1] * 1.03","+ str(close[-1])) print( \"range of values in next 13 bars: \" + str(min_forecast)","np import uuid import matplotlib # Input your csv file here with historical","' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else:","* 1.03 < z: # decision = \"buy\" sma = convolve_sma(close, 5) smb","plt.cla() plt.clf() # output = [] # with open(\"STOCKbluechip.csv\") as f: # output",">= close_next: # print('previous value is bigger') # print('last value: ' + str(close[-1]))","[] close = [] volume = [] # decision = [] date =","1 decision = \"sell\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] *","+ 1 for x in range(finish - start): # Below filtering is valid","find out # what means open, high and close in their respective order.","str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next: # print('previous value is","in output: pd = ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter =","# what means open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2]))","line[:-1].split(\",\")] # for stock in output: pd = ad buy_dir = \"../data/train/buy/\" sell_dir","[] c_low = [] c_close = [] c_volume = [] c_date = []","smb = list(sma) diff = sma[-1] - sma[-2] for x in range(len(close) -","in f.readlines() for s in line[:-1].split(\",\")] # for stock in output: pd =","in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start","# if close[-1] * 1.03 < z: # decision = \"buy\" sma =","Other financial data files have different orders so you need to find out","< z: # decision = \"buy\" sma = convolve_sma(close, 5) smb = list(sma)","mode=\"valid\") def graphwerk(start, finish): open = [] high = [] low = []","/ period, mode=\"valid\") def graphwerk(start, finish): open = [] high = [] low","+ \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else:","in line[:-1].split(\",\")] # for stock in output: pd = ad buy_dir = \"../data/train/buy/\"","in next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\")","13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir +","0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter = iter +","open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low,","= [] close = [] volume = [] # decision = [] date","value is smaller') # print('last value: '+ str(close[-1])) # print('next value: ' +","edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1)","# with open(\"STOCKbluechip.csv\") as f: # output = [str(s) for line in f.readlines()","= [] # decision = [] date = [] c_open = [] c_high","means open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4]))","+'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') # print('last value: '+","have different orders so you need to find out # what means open,","matplotlib # Input your csv file here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\",","c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish","in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50,","= [] c_high = [] c_low = [] c_close = [] c_volume =","date = [] c_open = [] c_high = [] c_low = [] c_close","their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start =","colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision ==","print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') #","decision = [] date = [] c_open = [] c_high = [] c_low","1 for x in range(finish - start): # Below filtering is valid for","high.clear() low.clear() plt.cla() plt.clf() # output = [] # with open(\"STOCKbluechip.csv\") as f:","close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] # with open(\"STOCKbluechip.csv\")","# if close[-1] >= close_next: # print('previous value is bigger') # print('last value:","\"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter","order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start +","# decision = \"buy\" sma = convolve_sma(close, 5) smb = list(sma) diff =","your csv file here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def","c_start = c_start + 1 for x in range(finish - start): # Below","volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\"g\",","low.clear() plt.cla() plt.clf() # output = [] # with open(\"STOCKbluechip.csv\") as f: #","= [] date = [] c_open = [] c_high = [] c_low =","= max(c_high) if close[-1] * 1.03 < max_forecast: decision = \"buy\" # for","\"buy\" sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2]","+ str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next: # print('previous value","= \"sell\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 <","value: \" + str(close[-1])) print( \"range of values in next 13 bars: \"","str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output","print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight')","for eurusd.csv file. Other financial data files have different orders so you need","- start): # Below filtering is valid for eurusd.csv file. Other financial data","= min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision =","import uuid import matplotlib # Input your csv file here with historical data","as np import uuid import matplotlib # Input your csv file here with","facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b',","with open(\"STOCKbluechip.csv\") as f: # output = [str(s) for line in f.readlines() for","valid for eurusd.csv file. Other financial data files have different orders so you","plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] #","\"buy\" # for z in all_prices: # if close[-1] * 1.03 < z:","+ str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: #","close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5,","c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish - start):","str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear()","13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir +","str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4())","low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision =","start = start + 1 decision = \"sell\" min_forecast = min(c_low) max_forecast =","value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show()","# print('previous value is smaller') # print('last value: '+ str(close[-1])) # print('next value:","out # what means open, high and close in their respective order. open.append(float(pd[start][1]))","in range(finish - start): # Below filtering is valid for eurusd.csv file. Other","len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx","c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in","diff = sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] +","'+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir +","print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is","c_close = [] c_volume = [] c_date = [] c_start = start +","[] low = [] close = [] volume = [] # decision =","str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous","import matplotlib # Input your csv file here with historical data ad =","bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4())","c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish -","print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') #","what means open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3]))","print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1]))","period, mode=\"valid\") def graphwerk(start, finish): open = [] high = [] low =","open = [] high = [] low = [] close = [] volume","csv file here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array,","sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2] for","open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\",","dx, open, close, high, low, width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb,","+ diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111)","# for stock in output: pd = ad buy_dir = \"../data/train/buy/\" sell_dir =","z in all_prices: # if close[-1] * 1.03 < z: # decision =","width=1.5, colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if","colorup=\"g\", colordown=\"r\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision","3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4,","+ 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5]))","= sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff)","f.readlines() for s in line[:-1].split(\",\")] # for stock in output: pd = ad","is valid for eurusd.csv file. Other financial data files have different orders so","min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision = \"buy\"","[] # decision = [] date = [] c_open = [] c_high =","volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] # with open(\"STOCKbluechip.csv\") as","def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish): open","file here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period):","np.ones((period,)) / period, mode=\"valid\") def graphwerk(start, finish): open = [] high = []","values in next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) )","+ str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1])) print( \"range","\"sell\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast:","smaller') # print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next)) #","= genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\"valid\")","close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0])","= plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open,","alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last value: \" + str(close[-1])) print( \"range","is bigger') # print('last value: ' + str(close[-1])) # print('next value: ' +","smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx =","\".jpg\", bbox_inches=\"tight\") else: print(\"last value: \" + str(close[-1])) print( \"range of values in","in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start","for x in range(len(pd)): graphwerk(iter, iter + 12) iter = iter + 2","+ str(max_forecast) ) print(\"buy\") plt.savefig(buy_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\") # if close[-1]","c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish - start): #","# print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight')","plt.autoscale() # plt.plot(smb, color=\"blue\", linewidth=10, alpha=0.5) plt.axis(\"off\") if decision == \"sell\": print(\"last value:","is smaller') # print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next))","= 0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter = iter","stock in output: pd = ad buy_dir = \"../data/train/buy/\" sell_dir = \"../data/train/sell/\" iter","= [] c_close = [] c_volume = [] c_date = [] c_start =","here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str) def convolve_sma(array, period): return","volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \"sell\" min_forecast","open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1","max(c_high) if close[-1] * 1.03 < max_forecast: decision = \"buy\" # for z","plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close,","[str(s) for line in f.readlines() for s in line[:-1].split(\",\")] # for stock in","\".jpg\", bbox_inches=\"tight\") # if close[-1] >= close_next: # print('previous value is bigger') #","fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax,","close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \"sell\"","close_next: # print('previous value is bigger') # print('last value: ' + str(close[-1])) #","if close[-1] >= close_next: # print('previous value is bigger') # print('last value: '","decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \"sell\" min_forecast = min(c_low)","= start + 1 decision = \"sell\" min_forecast = min(c_low) max_forecast = max(c_high)","orders so you need to find out # what means open, high and","all_prices: # if close[-1] * 1.03 < z: # decision = \"buy\" sma","so you need to find out # what means open, high and close","= \"../data/train/sell/\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter + 12)","start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4]))","Input your csv file here with historical data ad = genfromtxt(f\"../financial_data/SM.csv\", delimiter=\",\", dtype=str)","[] c_start = start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1]))","str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir + str(uuid.uuid4()) + \".jpg\", bbox_inches=\"tight\")","data files have different orders so you need to find out # what","genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as np import uuid","figsize=(3, 3), dpi=50, facecolor=\"w\", edgecolor=\"k\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume,","high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision","# output = [] # with open(\"STOCKbluechip.csv\") as f: # output = [str(s)","for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3,","Below filtering is valid for eurusd.csv file. Other financial data files have different"],"string":"[\n \"next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir\",\n \"print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear()\",\n \"c_start = start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2]))\",\n \"c_volume = [] c_date = [] c_start = start + 12 for x\",\n \"+ str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') # print('last\",\n \"line in f.readlines() for s in line[:-1].split(\\\",\\\")] # for stock in output: pd\",\n \"value: '+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir\",\n \"high = [] low = [] close = [] volume = [] #\",\n \"sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig\",\n \"decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03\",\n \"plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value: \\\" +\",\n \"print( \\\"range of values in next 13 bars: \\\" + str(min_forecast) + \\\"-\\\"\",\n \"data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) /\",\n \"' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear()\",\n \"value is bigger') # print('last value: ' + str(close[-1])) # print('next value: '\",\n \"= [] c_volume = [] c_date = [] c_start = start + 12\",\n \"matplotlib.pyplot as plt import mpl_finance import numpy as np import uuid import matplotlib\",\n \"* 1.03 < max_forecast: decision = \\\"buy\\\" # for z in all_prices: #\",\n \"# output = [str(s) for line in f.readlines() for s in line[:-1].split(\\\",\\\")] #\",\n \"[] c_close = [] c_volume = [] c_date = [] c_start = start\",\n \"# print('previous value is bigger') # print('last value: ' + str(close[-1])) # print('next\",\n \"print('previous value is bigger') # print('last value: ' + str(close[-1])) # print('next value:\",\n \"mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high,\",\n \"= list(sma) diff = sma[-1] - sma[-2] for x in range(len(close) - len(smb)):\",\n \"value: ' + str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') #\",\n \"in all_prices: # if close[-1] * 1.03 < z: # decision = \\\"buy\\\"\",\n \"sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1,\",\n \"str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg',\",\n \"= [] high = [] low = [] close = [] volume =\",\n \"= [] c_date = [] c_start = start + 12 for x in\",\n \"file. Other financial data files have different orders so you need to find\",\n \"for x in range(finish - start): # Below filtering is valid for eurusd.csv\",\n \"open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s) for line in f.readlines() for s\",\n \"bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: # print('previous value is bigger') # print('last\",\n \"str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >=\",\n \"\\\" + str(close[-1])) print( \\\"range of values in next 13 bars: \\\" +\",\n \"graphwerk(start, finish): open = [] high = [] low = [] close =\",\n \"alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\":\",\n \"# mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close,\",\n \"1.03 < max_forecast: decision = \\\"buy\\\" # for z in all_prices: # if\",\n \"# Below filtering is valid for eurusd.csv file. Other financial data files have\",\n \"print('last value: ' + str(close[-1])) # print('next value: ' + str(close_next)) # print('sell')\",\n \"print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in next 13 bars:\",\n \"+ str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir +\",\n \"from numpy import genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as\",\n \"width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\",\",\n \"str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\")\",\n \"f: # output = [str(s) for line in f.readlines() for s in line[:-1].split(\\\",\\\")]\",\n \"mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() #\",\n \"different orders so you need to find out # what means open, high\",\n \"max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision = \\\"buy\\\" #\",\n \"period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish): open = []\",\n \"# Input your csv file here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\",\",\n \"colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5\",\n \"s in line[:-1].split(\\\",\\\")] # for stock in output: pd = ad buy_dir =\",\n \"1.03 < z: # decision = \\\"buy\\\" sma = convolve_sma(close, 5) smb =\",\n \"start + 1 decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high) if\",\n \"numpy import genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as np\",\n \"output = [] # with open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s) for\",\n \"= start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3]))\",\n \"+ str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\",\",\n \"z: # decision = \\\"buy\\\" sma = convolve_sma(close, 5) smb = list(sma) diff\",\n \"range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\",\",\n \"import genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as np import\",\n \"[] c_open = [] c_high = [] c_low = [] c_close = []\",\n \"# plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla()\",\n \"close = [] volume = [] # decision = [] date = []\",\n \"fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open,\",\n \"to find out # what means open, high and close in their respective\",\n \"\\\"../data/train/sell/\\\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter\",\n \"print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: #\",\n \"- sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig =\",\n \"dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b',\",\n \"= convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2] for x\",\n \"with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array,\",\n \"c_start + 1 for x in range(finish - start): # Below filtering is\",\n \"bbox_inches='tight') # else: # print('previous value is smaller') # print('last value: '+ str(close[-1]))\",\n \"\\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in next 13\",\n \"x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3),\",\n \"financial data files have different orders so you need to find out #\",\n \"in next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\")\",\n \"date.append(pd[start][0]) start = start + 1 decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast\",\n \"bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4())\",\n \"c_high = [] c_low = [] c_close = [] c_volume = [] c_date\",\n \"delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start,\",\n \"- start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1\",\n \"# print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy')\",\n \"for z in all_prices: # if close[-1] * 1.03 < z: # decision\",\n \"buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0 for x in range(len(pd)):\",\n \"range(finish - start): # Below filtering is valid for eurusd.csv file. Other financial\",\n \"\\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) +\",\n \"= c_start + 1 for x in range(finish - start): # Below filtering\",\n \"decision = \\\"buy\\\" sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1]\",\n \"and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6]))\",\n \"pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0 for\",\n \"eurusd.csv file. Other financial data files have different orders so you need to\",\n \"5) smb = list(sma) diff = sma[-1] - sma[-2] for x in range(len(close)\",\n \"c_date = [] c_start = start + 12 for x in range(finish -\",\n \"= [] c_open = [] c_high = [] c_low = [] c_close =\",\n \"= \\\"buy\\\" sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1] -\",\n \"sell_dir = \\\"../data/train/sell/\\\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter +\",\n \"[] high = [] low = [] close = [] volume = []\",\n \"close[-1] * 1.03 < z: # decision = \\\"buy\\\" sma = convolve_sma(close, 5)\",\n \"ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period,\",\n \"dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl(\",\n \"for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start\",\n \"for s in line[:-1].split(\\\",\\\")] # for stock in output: pd = ad buy_dir\",\n \") print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" +\",\n \"iter = 0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter =\",\n \"diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) #\",\n \"# else: # print('previous value is smaller') # print('last value: '+ str(close[-1])) #\",\n \"high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) #\",\n \"as f: # output = [str(s) for line in f.readlines() for s in\",\n \"+ str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value:\",\n \"# print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value\",\n \"= \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0 for x in range(len(pd)): graphwerk(iter,\",\n \"need to find out # what means open, high and close in their\",\n \"open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] # with\",\n \"[] volume = [] # decision = [] date = [] c_open =\",\n \"plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') #\",\n \"= [] c_low = [] c_close = [] c_volume = [] c_date =\",\n \"x in range(finish - start): # Below filtering is valid for eurusd.csv file.\",\n \"# plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller')\",\n \"if decision == \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values\",\n \"else: print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in next 13\",\n \"bigger') # print('last value: ' + str(close[-1])) # print('next value: ' + str(close_next))\",\n \"next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir\",\n \"plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf()\",\n \"start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for\",\n \"== \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in next\",\n \") plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last\",\n \"for line in f.readlines() for s in line[:-1].split(\\\",\\\")] # for stock in output:\",\n \"high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5)\",\n \"str(close[-1])) print( \\\"range of values in next 13 bars: \\\" + str(min_forecast) +\",\n \"ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0 for x in\",\n \"value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') #\",\n \"if close[-1] * 1.03 < max_forecast: decision = \\\"buy\\\" # for z in\",\n \"< max_forecast: decision = \\\"buy\\\" # for z in all_prices: # if close[-1]\",\n \"volume = [] # decision = [] date = [] c_open = []\",\n \"= [] volume = [] # decision = [] date = [] c_open\",\n \"mpl_finance import numpy as np import uuid import matplotlib # Input your csv\",\n \"# decision = [] date = [] c_open = [] c_high = []\",\n \"alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale()\",\n \"plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of\",\n \"output = [str(s) for line in f.readlines() for s in line[:-1].split(\\\",\\\")] # for\",\n \"+ \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: # print('previous value is bigger')\",\n \"c_low = [] c_close = [] c_volume = [] c_date = [] c_start\",\n \"+ 1 decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1]\",\n \"# print('last value: ' + str(close[-1])) # print('next value: ' + str(close_next)) #\",\n \"[] c_high = [] c_low = [] c_close = [] c_volume = []\",\n \"decision == \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in\",\n \"as plt import mpl_finance import numpy as np import uuid import matplotlib #\",\n \"= ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0 for x\",\n \"= fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx,\",\n \"str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') # print('last value:\",\n \"start): # Below filtering is valid for eurusd.csv file. Other financial data files\",\n \"= [] low = [] close = [] volume = [] # decision\",\n \"historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,))\",\n \"of values in next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast)\",\n \"print('previous value is smaller') # print('last value: '+ str(close[-1])) # print('next value: '\",\n \"import matplotlib.pyplot as plt import mpl_finance import numpy as np import uuid import\",\n \"numpy as np import uuid import matplotlib # Input your csv file here\",\n \"= [] c_start = start + 12 for x in range(finish - start):\",\n \"+ str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear()\",\n \"close[-1] * 1.03 < max_forecast: decision = \\\"buy\\\" # for z in all_prices:\",\n \"- len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\")\",\n \"[] date = [] c_open = [] c_high = [] c_low = []\",\n \"plt import mpl_finance import numpy as np import uuid import matplotlib # Input\",\n \"filtering is valid for eurusd.csv file. Other financial data files have different orders\",\n \"[] c_volume = [] c_date = [] c_start = start + 12 for\",\n \"bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output =\",\n \"plt.clf() # output = [] # with open(\\\"STOCKbluechip.csv\\\") as f: # output =\",\n \"import mpl_finance import numpy as np import uuid import matplotlib # Input your\",\n \"bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in next\",\n \"import numpy as np import uuid import matplotlib # Input your csv file\",\n \"uuid import matplotlib # Input your csv file here with historical data ad\",\n \"x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start =\",\n \"plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1])) print(\",\n \"linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print(\",\n \"= [str(s) for line in f.readlines() for s in line[:-1].split(\\\",\\\")] # for stock\",\n \"respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start\",\n \"\\\"range of values in next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" +\",\n \"\\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) +\",\n \"+ str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\",\",\n \"= \\\"buy\\\" # for z in all_prices: # if close[-1] * 1.03 <\",\n \"[] c_date = [] c_start = start + 12 for x in range(finish\",\n \"open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5]))\",\n \"min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision\",\n \"\\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last\",\n \"# decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \\\"sell\\\" min_forecast =\",\n \"str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\"\",\n \"' + str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir\",\n \"max_forecast: decision = \\\"buy\\\" # for z in all_prices: # if close[-1] *\",\n \"low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\")\",\n \"dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish):\",\n \"convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish): open =\",\n \"colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 )\",\n \"if close[-1] * 1.03 < z: # decision = \\\"buy\\\" sma = convolve_sma(close,\",\n \") print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next:\",\n \"\\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if\",\n \"c_open = [] c_high = [] c_low = [] c_close = [] c_volume\",\n \"# for z in all_prices: # if close[-1] * 1.03 < z: #\",\n \"np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish): open = [] high =\",\n \"files have different orders so you need to find out # what means\",\n \"close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10,\",\n \"return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish): open = [] high\",\n \"list(sma) diff = sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1]\",\n \"low = [] close = [] volume = [] # decision = []\",\n \"# print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg',\",\n \"+ str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() #\",\n \"genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def\",\n \"# plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value: \\\"\",\n \"color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1]))\",\n \"[] # with open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s) for line in\",\n \"c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x\",\n \"plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: # print('previous\",\n \"output: pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0\",\n \"finish): open = [] high = [] low = [] close = []\",\n \"def graphwerk(start, finish): open = [] high = [] low = [] close\",\n \"for stock in output: pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\"\",\n \"= [] # with open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s) for line\",\n \"else: # print('previous value is smaller') # print('last value: '+ str(close[-1])) # print('next\",\n \"+ \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") #\",\n \"you need to find out # what means open, high and close in\",\n \"# plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = []\",\n \"# print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear()\",\n \"str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of\",\n \"convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2] for x in\",\n \"+ \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values\",\n \"12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0])\",\n \"close[-1] >= close_next: # print('previous value is bigger') # print('last value: ' +\",\n \"range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start +\",\n \"decision = \\\"buy\\\" # for z in all_prices: # if close[-1] * 1.03\",\n \"+ str(close[-1])) print( \\\"range of values in next 13 bars: \\\" + str(min_forecast)\",\n \"np import uuid import matplotlib # Input your csv file here with historical\",\n \"' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else:\",\n \"* 1.03 < z: # decision = \\\"buy\\\" sma = convolve_sma(close, 5) smb\",\n \"plt.cla() plt.clf() # output = [] # with open(\\\"STOCKbluechip.csv\\\") as f: # output\",\n \">= close_next: # print('previous value is bigger') # print('last value: ' + str(close[-1]))\",\n \"[] close = [] volume = [] # decision = [] date =\",\n \"1 decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] *\",\n \"+ 1 for x in range(finish - start): # Below filtering is valid\",\n \"find out # what means open, high and close in their respective order.\",\n \"str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: # print('previous value is\",\n \"in output: pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter =\",\n \"# what means open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2]))\",\n \"line[:-1].split(\\\",\\\")] # for stock in output: pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir\",\n \"[] c_low = [] c_close = [] c_volume = [] c_date = []\",\n \"smb = list(sma) diff = sma[-1] - sma[-2] for x in range(len(close) -\",\n \"in f.readlines() for s in line[:-1].split(\\\",\\\")] # for stock in output: pd =\",\n \"in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start\",\n \"# if close[-1] * 1.03 < z: # decision = \\\"buy\\\" sma =\",\n \"Other financial data files have different orders so you need to find out\",\n \"< z: # decision = \\\"buy\\\" sma = convolve_sma(close, 5) smb = list(sma)\",\n \"mode=\\\"valid\\\") def graphwerk(start, finish): open = [] high = [] low = []\",\n \"/ period, mode=\\\"valid\\\") def graphwerk(start, finish): open = [] high = [] low\",\n \"+ \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else:\",\n \"in line[:-1].split(\\\",\\\")] # for stock in output: pd = ad buy_dir = \\\"../data/train/buy/\\\"\",\n \"in next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\")\",\n \"13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir +\",\n \"0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter = iter +\",\n \"open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low,\",\n \"= [] close = [] volume = [] # decision = [] date\",\n \"value is smaller') # print('last value: '+ str(close[-1])) # print('next value: ' +\",\n \"edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b', alpha=1)\",\n \"# with open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s) for line in f.readlines()\",\n \"= [] # decision = [] date = [] c_open = [] c_high\",\n \"means open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4]))\",\n \"+'.jpg', bbox_inches='tight') # else: # print('previous value is smaller') # print('last value: '+\",\n \"have different orders so you need to find out # what means open,\",\n \"matplotlib # Input your csv file here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\",\",\n \"c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish\",\n \"in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50,\",\n \"= [] c_high = [] c_low = [] c_close = [] c_volume =\",\n \"date = [] c_open = [] c_high = [] c_low = [] c_close\",\n \"their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start =\",\n \"colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision ==\",\n \"print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') #\",\n \"decision = [] date = [] c_open = [] c_high = [] c_low\",\n \"1 for x in range(finish - start): # Below filtering is valid for\",\n \"high.clear() low.clear() plt.cla() plt.clf() # output = [] # with open(\\\"STOCKbluechip.csv\\\") as f:\",\n \"close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] # with open(\\\"STOCKbluechip.csv\\\")\",\n \"# if close[-1] >= close_next: # print('previous value is bigger') # print('last value:\",\n \"\\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter\",\n \"order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start +\",\n \"# decision = \\\"buy\\\" sma = convolve_sma(close, 5) smb = list(sma) diff =\",\n \"your csv file here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def\",\n \"c_start = c_start + 1 for x in range(finish - start): # Below\",\n \"volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5, colorup=\\\"g\\\",\",\n \"low.clear() plt.cla() plt.clf() # output = [] # with open(\\\"STOCKbluechip.csv\\\") as f: #\",\n \"= [] date = [] c_open = [] c_high = [] c_low =\",\n \"= max(c_high) if close[-1] * 1.03 < max_forecast: decision = \\\"buy\\\" # for\",\n \"\\\"buy\\\" sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2]\",\n \"+ str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: # print('previous value\",\n \"= \\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 <\",\n \"value: \\\" + str(close[-1])) print( \\\"range of values in next 13 bars: \\\"\",\n \"str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output\",\n \"print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight')\",\n \"for eurusd.csv file. Other financial data files have different orders so you need\",\n \"- start): # Below filtering is valid for eurusd.csv file. Other financial data\",\n \"= min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision =\",\n \"import uuid import matplotlib # Input your csv file here with historical data\",\n \"as np import uuid import matplotlib # Input your csv file here with\",\n \"facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4, colorup='b', colordown='b',\",\n \"with open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s) for line in f.readlines() for\",\n \"valid for eurusd.csv file. Other financial data files have different orders so you\",\n \"plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] #\",\n \"\\\"buy\\\" # for z in all_prices: # if close[-1] * 1.03 < z:\",\n \"+ str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: #\",\n \"close, volume, width=0.4, colorup='b', colordown='b', alpha=1) mpl_finance.candlestick2_ochl( dx, open, close, high, low, width=1.5,\",\n \"c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish - start):\",\n \"str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear()\",\n \"13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir +\",\n \"str(close[-1])) # print('next value: ' + str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4())\",\n \"low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision =\",\n \"start = start + 1 decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast =\",\n \"value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show()\",\n \"# print('previous value is smaller') # print('last value: '+ str(close[-1])) # print('next value:\",\n \"out # what means open, high and close in their respective order. open.append(float(pd[start][1]))\",\n \"in range(finish - start): # Below filtering is valid for eurusd.csv file. Other\",\n \"len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx\",\n \"c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in\",\n \"diff = sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] +\",\n \"'+ str(close[-1])) # print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir +\",\n \"print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous value is\",\n \"c_close = [] c_volume = [] c_date = [] c_start = start +\",\n \"[] low = [] close = [] volume = [] # decision =\",\n \"str(close_next)) # print('sell') # plt.savefig(sell_dir + str(uuid.uuid4()) +'.jpg', bbox_inches='tight') # else: # print('previous\",\n \"import matplotlib # Input your csv file here with historical data ad =\",\n \"bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4())\",\n \"c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish -\",\n \"print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') #\",\n \"what means open, high and close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3]))\",\n \"print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1]))\",\n \"period, mode=\\\"valid\\\") def graphwerk(start, finish): open = [] high = [] low =\",\n \"open = [] high = [] low = [] close = [] volume\",\n \"csv file here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array,\",\n \"sma = convolve_sma(close, 5) smb = list(sma) diff = sma[-1] - sma[-2] for\",\n \"open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\",\",\n \"dx, open, close, high, low, width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb,\",\n \"+ diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111)\",\n \"# for stock in output: pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir =\",\n \"z in all_prices: # if close[-1] * 1.03 < z: # decision =\",\n \"width=1.5, colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if\",\n \"colorup=\\\"g\\\", colordown=\\\"r\\\", alpha=0.5 ) plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision\",\n \"3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume, width=0.4,\",\n \"+ 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5]))\",\n \"= sma[-1] - sma[-2] for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff)\",\n \"f.readlines() for s in line[:-1].split(\\\",\\\")] # for stock in output: pd = ad\",\n \"is valid for eurusd.csv file. Other financial data files have different orders so\",\n \"min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast: decision = \\\"buy\\\"\",\n \"[] # decision = [] date = [] c_open = [] c_high =\",\n \"volume.clear() high.clear() low.clear() plt.cla() plt.clf() # output = [] # with open(\\\"STOCKbluechip.csv\\\") as\",\n \"def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish): open\",\n \"file here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period):\",\n \"np.ones((period,)) / period, mode=\\\"valid\\\") def graphwerk(start, finish): open = [] high = []\",\n \"values in next 13 bars: \\\" + str(min_forecast) + \\\"-\\\" + str(max_forecast) )\",\n \"+ str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1])) print( \\\"range\",\n \"\\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high) if close[-1] * 1.03 < max_forecast:\",\n \"smaller') # print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next)) #\",\n \"= genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return np.convolve(array, np.ones((period,)) / period, mode=\\\"valid\\\")\",\n \"close in their respective order. open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0])\",\n \"= plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open,\",\n \"alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value: \\\" + str(close[-1])) print( \\\"range\",\n \"is bigger') # print('last value: ' + str(close[-1])) # print('next value: ' +\",\n \"smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx =\",\n \"\\\".jpg\\\", bbox_inches=\\\"tight\\\") else: print(\\\"last value: \\\" + str(close[-1])) print( \\\"range of values in\",\n \"in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4])) c_volume.append(float(pd[c_start][5])) c_date.append(pd[c_start][0]) c_start = c_start\",\n \"for x in range(len(pd)): graphwerk(iter, iter + 12) iter = iter + 2\",\n \"+ str(max_forecast) ) print(\\\"buy\\\") plt.savefig(buy_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1]\",\n \"c_date.append(pd[c_start][0]) c_start = c_start + 1 for x in range(finish - start): #\",\n \"# print('next value: ' + str(close_next)) # print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight')\",\n \"plt.autoscale() # plt.plot(smb, color=\\\"blue\\\", linewidth=10, alpha=0.5) plt.axis(\\\"off\\\") if decision == \\\"sell\\\": print(\\\"last value:\",\n \"is smaller') # print('last value: '+ str(close[-1])) # print('next value: ' + str(close_next))\",\n \"= 0 for x in range(len(pd)): graphwerk(iter, iter + 12) iter = iter\",\n \"stock in output: pd = ad buy_dir = \\\"../data/train/buy/\\\" sell_dir = \\\"../data/train/sell/\\\" iter\",\n \"= [] c_close = [] c_volume = [] c_date = [] c_start =\",\n \"here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str) def convolve_sma(array, period): return\",\n \"volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \\\"sell\\\" min_forecast\",\n \"open.append(float(pd[start][1])) high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1\",\n \"max(c_high) if close[-1] * 1.03 < max_forecast: decision = \\\"buy\\\" # for z\",\n \"plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close,\",\n \"[str(s) for line in f.readlines() for s in line[:-1].split(\\\",\\\")] # for stock in\",\n \"\\\".jpg\\\", bbox_inches=\\\"tight\\\") # if close[-1] >= close_next: # print('previous value is bigger') #\",\n \"fig = plt.figure(num=1, figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax,\",\n \"close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \\\"sell\\\"\",\n \"close_next: # print('previous value is bigger') # print('last value: ' + str(close[-1])) #\",\n \"if close[-1] >= close_next: # print('previous value is bigger') # print('last value: '\",\n \"decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision = \\\"sell\\\" min_forecast = min(c_low)\",\n \"= start + 1 decision = \\\"sell\\\" min_forecast = min(c_low) max_forecast = max(c_high)\",\n \"orders so you need to find out # what means open, high and\",\n \"all_prices: # if close[-1] * 1.03 < z: # decision = \\\"buy\\\" sma\",\n \"so you need to find out # what means open, high and close\",\n \"= \\\"../data/train/sell/\\\" iter = 0 for x in range(len(pd)): graphwerk(iter, iter + 12)\",\n \"start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1])) c_high.append(float(pd[c_start][2])) c_low.append(float(pd[c_start][3])) c_close.append(float(pd[c_start][4]))\",\n \"Input your csv file here with historical data ad = genfromtxt(f\\\"../financial_data/SM.csv\\\", delimiter=\\\",\\\", dtype=str)\",\n \"[] c_start = start + 12 for x in range(finish - start): c_open.append(float(pd[c_start][1]))\",\n \"str(min_forecast) + \\\"-\\\" + str(max_forecast) ) print(\\\"sell\\\") plt.savefig(sell_dir + str(uuid.uuid4()) + \\\".jpg\\\", bbox_inches=\\\"tight\\\")\",\n \"data files have different orders so you need to find out # what\",\n \"genfromtxt import matplotlib.pyplot as plt import mpl_finance import numpy as np import uuid\",\n \"figsize=(3, 3), dpi=50, facecolor=\\\"w\\\", edgecolor=\\\"k\\\") dx = fig.add_subplot(111) # mpl_finance.volume_overlay(ax, open, close, volume,\",\n \"high.append(float(pd[start][2])) low.append(float(pd[start][3])) close.append(float(pd[start][4])) volume.append(float(pd[start][5])) # decision.append(str(pd[start][6])) date.append(pd[start][0]) start = start + 1 decision\",\n \"# output = [] # with open(\\\"STOCKbluechip.csv\\\") as f: # output = [str(s)\",\n \"for x in range(len(close) - len(smb)): smb.append(smb[-1] + diff) fig = plt.figure(num=1, figsize=(3,\",\n \"Below filtering is valid for eurusd.csv file. Other financial data files have different\"\n]","isConversational":false}}},{"rowIdx":761,"cells":{"ngram":{"kind":"list like","value":["= TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range)","line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type =","= attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif","elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i","max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1])","= open(file_path, \"r\") for line in reader: if line.strip() == '': continue if","= [] records = [] data_flag = False reader = open(file_path, \"r\") for","[] attributes = [] attributes_min_max = [] records = [] data_flag = False","if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1]","min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i]","elif data_flag is True: line = re.sub('\\s+', '', line) elements = line.split(',') for","re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class","for line in reader: if line.strip() == '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"):","Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail","attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type)","attributes.pop(len(attributes) - 1) continue elif data_flag is True: line = re.sub('\\s+', '', line)","in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return labels, attributes, records","ca / alipsgh -at- gmail -dot- com \"\"\" import re from data_structures.attribute import","-dot- ca / alipsgh -at- gmail -dot- com \"\"\" import re from data_structures.attribute","= [] data_flag = False reader = open(file_path, \"r\") for line in reader:","\"r\") for line in reader: if line.strip() == '': continue if line.startswith(\"@attribute\") or","attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or","of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at-","Tornado Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa","line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if","if elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value: max_value =","- 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value","= line.strip('\\n\\r\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute","attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value: max_value","data_flag = False reader = open(file_path, \"r\") for line in reader: if line.strip()","True: line = re.sub('\\s+', '', line) elements = line.split(',') for i in range(0,","records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return","TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute)","= attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag =","read(file_path): labels = [] attributes = [] attributes_min_max = [] records = []","attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = []","= True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag","line = re.sub('\\s+', '', line) elements = line.split(',') for i in range(0, len(elements)","line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute()","'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type =","max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i] >","max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)):","= [] attributes_min_max = [] records = [] data_flag = False reader =","from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class is","') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower()","line.strip() == '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line =","elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE","/ alipsgh -at- gmail -dot- com \"\"\" import re from data_structures.attribute import Attribute","attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range","or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range","records = [] data_flag = False reader = open(file_path, \"r\") for line in","= [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range","= attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value:","TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] <","elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes)","class ARFFReader: \"\"\"This class is used to read a .arff file.\"\"\" @staticmethod def","= line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE:","'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE","- 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line = re.sub('\\s+',","min_value = elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value,","attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',')","continue elif data_flag is True: line = re.sub('\\s+', '', line) elements = line.split(',')","min_value: min_value = elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] =","dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class is used to read a .arff","if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split(' ') attribute_name =","[min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0],","elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value:","= elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if","attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0])","apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com \"\"\" import","line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range =","attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE ==","[] data_flag = False reader = open(file_path, \"r\") for line in reader: if","in reader: if line.strip() == '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line =","attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes) -","= float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value","'', line) elements = line.split(',') for i in range(0, len(elements) - 1): if","attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if","- 1) continue elif data_flag is True: line = re.sub('\\s+', '', line) elements","= TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range =","uottawa -dot- ca / alipsgh -at- gmail -dot- com \"\"\" import re from","data_flag is True: line = re.sub('\\s+', '', line) elements = line.split(',') for i","1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value =","None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels =","['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type","\"\"\"This class is used to read a .arff file.\"\"\" @staticmethod def read(file_path): labels","line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) -","[] attributes_min_max = [] records = [] data_flag = False reader = open(file_path,","University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh","labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True:","continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split(' ') attribute_name","if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0,","reader: if line.strip() == '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t')","elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value: max_value = elements[i]","for i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] =","from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class is used to read a","'': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split(' ')","line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue","max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0,","= elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value]","float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value =","attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\")","= attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line","class is used to read a .arff file.\"\"\" @staticmethod def read(file_path): labels =","== TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i]","attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes)","[] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range =","is True: line = re.sub('\\s+', '', line) elements = line.split(',') for i in","False reader = open(file_path, \"r\") for line in reader: if line.strip() == '':","else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None])","\"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"):","attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES","attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i]","= line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric',","> max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in","for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return labels,","1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line = re.sub('\\s+', '',","\"\"\" The Tornado Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran","Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range =","used to read a .arff file.\"\"\" @staticmethod def read(file_path): labels = [] attributes","@staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max = [] records","def read(file_path): labels = [] attributes = [] attributes_min_max = [] records =","True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is","alipsgh -at- gmail -dot- com \"\"\" import re from data_structures.attribute import Attribute from","[] records = [] data_flag = False reader = open(file_path, \"r\") for line","i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i])","line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i]","i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return labels, attributes,","attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif","reader = open(file_path, \"r\") for line in reader: if line.strip() == '': continue","= line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name)","attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True","Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class is used to read","line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real',","len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0]","range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value =","= re.sub('\\s+', '', line) elements = line.split(',') for i in range(0, len(elements) -","elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements)","to read a .arff file.\"\"\" @staticmethod def read(file_path): labels = [] attributes =","= attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\")","attributes = [] attributes_min_max = [] records = [] data_flag = False reader","0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None,","= Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range","import TornadoDic class ARFFReader: \"\"\"This class is used to read a .arff file.\"\"\"","attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line =","file.\"\"\" @staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max = []","TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\",","= False reader = open(file_path, \"r\") for line in reader: if line.strip() ==","line) elements = line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE","<NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca /","= [] attributes = [] attributes_min_max = [] records = [] data_flag =","elements = line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE ==","com \"\"\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class","== '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split('","= [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE:","Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com","attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE","gmail -dot- com \"\"\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import","attributes_min_max = [] records = [] data_flag = False reader = open(file_path, \"r\")","attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in","1) continue elif data_flag is True: line = re.sub('\\s+', '', line) elements =","-at- gmail -dot- com \"\"\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary","read a .arff file.\"\"\" @staticmethod def read(file_path): labels = [] attributes = []","elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for","line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line = line.split(' ') attribute_name = line[1]","TornadoDic class ARFFReader: \"\"\"This class is used to read a .arff file.\"\"\" @staticmethod","\"\"\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader:","line = line.strip('\\n\\r\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2]","a .arff file.\"\"\" @staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max","in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value","is used to read a .arff file.\"\"\" @staticmethod def read(file_path): labels = []","-dot- com \"\"\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic","By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca","= line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type","in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else:",".arff file.\"\"\" @staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max =","attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']:","labels = [] attributes = [] attributes_min_max = [] records = [] data_flag","-at- uottawa -dot- ca / alipsgh -at- gmail -dot- com \"\"\" import re","data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class is used","Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot-","attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag","data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif","line in reader: if line.strip() == '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line","ARFFReader: \"\"\"This class is used to read a .arff file.\"\"\" @staticmethod def read(file_path):","The Tornado Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at-","import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This","re.sub('\\s+', '', line) elements = line.split(',') for i in range(0, len(elements) - 1):","Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot-","import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \"\"\"This class is used to","E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com \"\"\"","or line.startswith(\"@DATA\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1)","line.strip('\\n\\r\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute =","< min_value: min_value = elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i]","attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\"@data\") or line.startswith(\"@DATA\"): data_flag = True labels","open(file_path, \"r\") for line in reader: if line.strip() == '': continue if line.startswith(\"@attribute\")","if line.strip() == '': continue if line.startswith(\"@attribute\") or line.startswith(\"@ATTRIBUTE\"): line = line.strip('\\n\\r\\t') line"],"string":"[\n \"= TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range)\",\n \"line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type =\",\n \"= attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif\",\n \"elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i\",\n \"max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1])\",\n \"= open(file_path, \\\"r\\\") for line in reader: if line.strip() == '': continue if\",\n \"= [] records = [] data_flag = False reader = open(file_path, \\\"r\\\") for\",\n \"[] attributes = [] attributes_min_max = [] records = [] data_flag = False\",\n \"if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1]\",\n \"min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i]\",\n \"elif data_flag is True: line = re.sub('\\\\s+', '', line) elements = line.split(',') for\",\n \"re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class\",\n \"for line in reader: if line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"):\",\n \"Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail\",\n \"attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type)\",\n \"attributes.pop(len(attributes) - 1) continue elif data_flag is True: line = re.sub('\\\\s+', '', line)\",\n \"in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return labels, attributes, records\",\n \"ca / alipsgh -at- gmail -dot- com \\\"\\\"\\\" import re from data_structures.attribute import\",\n \"-dot- ca / alipsgh -at- gmail -dot- com \\\"\\\"\\\" import re from data_structures.attribute\",\n \"= [] data_flag = False reader = open(file_path, \\\"r\\\") for line in reader:\",\n \"\\\"r\\\") for line in reader: if line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or\",\n \"attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or\",\n \"of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at-\",\n \"Tornado Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa\",\n \"line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if\",\n \"if elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value: max_value =\",\n \"- 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value\",\n \"= line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute\",\n \"attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value: max_value\",\n \"data_flag = False reader = open(file_path, \\\"r\\\") for line in reader: if line.strip()\",\n \"True: line = re.sub('\\\\s+', '', line) elements = line.split(',') for i in range(0,\",\n \"records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return\",\n \"TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute)\",\n \"= attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag =\",\n \"read(file_path): labels = [] attributes = [] attributes_min_max = [] records = []\",\n \"attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = []\",\n \"= True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag\",\n \"line = re.sub('\\\\s+', '', line) elements = line.split(',') for i in range(0, len(elements)\",\n \"line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute()\",\n \"'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type =\",\n \"max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i] >\",\n \"max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)):\",\n \"= [] attributes_min_max = [] records = [] data_flag = False reader =\",\n \"from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is\",\n \"') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower()\",\n \"line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line =\",\n \"elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE\",\n \"/ alipsgh -at- gmail -dot- com \\\"\\\"\\\" import re from data_structures.attribute import Attribute\",\n \"attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range\",\n \"or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range\",\n \"records = [] data_flag = False reader = open(file_path, \\\"r\\\") for line in\",\n \"= [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range\",\n \"= attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value:\",\n \"TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] <\",\n \"elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes)\",\n \"class ARFFReader: \\\"\\\"\\\"This class is used to read a .arff file.\\\"\\\"\\\" @staticmethod def\",\n \"= line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE:\",\n \"'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE\",\n \"- 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line = re.sub('\\\\s+',\",\n \"min_value = elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value,\",\n \"attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',')\",\n \"continue elif data_flag is True: line = re.sub('\\\\s+', '', line) elements = line.split(',')\",\n \"min_value: min_value = elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] =\",\n \"dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used to read a .arff\",\n \"if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name =\",\n \"[min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0],\",\n \"elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value:\",\n \"= elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if\",\n \"attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0])\",\n \"apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com \\\"\\\"\\\" import\",\n \"line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range =\",\n \"attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE ==\",\n \"[] data_flag = False reader = open(file_path, \\\"r\\\") for line in reader: if\",\n \"in reader: if line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line =\",\n \"attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes) -\",\n \"= float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value\",\n \"'', line) elements = line.split(',') for i in range(0, len(elements) - 1): if\",\n \"attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if\",\n \"- 1) continue elif data_flag is True: line = re.sub('\\\\s+', '', line) elements\",\n \"= TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range =\",\n \"uottawa -dot- ca / alipsgh -at- gmail -dot- com \\\"\\\"\\\" import re from\",\n \"data_flag is True: line = re.sub('\\\\s+', '', line) elements = line.split(',') for i\",\n \"1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value =\",\n \"None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels =\",\n \"['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type\",\n \"\\\"\\\"\\\"This class is used to read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels\",\n \"line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) -\",\n \"[] attributes_min_max = [] records = [] data_flag = False reader = open(file_path,\",\n \"University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh\",\n \"labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True:\",\n \"continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name\",\n \"if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0,\",\n \"reader: if line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t')\",\n \"elements[i] < min_value: min_value = elements[i] elif elements[i] > max_value: max_value = elements[i]\",\n \"for i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] =\",\n \"from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used to read a\",\n \"'': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ')\",\n \"line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue\",\n \"max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in range(0,\",\n \"= elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value]\",\n \"float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value =\",\n \"attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\")\",\n \"= attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line\",\n \"class is used to read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels =\",\n \"== TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i]\",\n \"attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes)\",\n \"[] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range =\",\n \"is True: line = re.sub('\\\\s+', '', line) elements = line.split(',') for i in\",\n \"False reader = open(file_path, \\\"r\\\") for line in reader: if line.strip() == '':\",\n \"else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None])\",\n \"\\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"):\",\n \"attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES\",\n \"attributes_min_max[i][0] max_value = attributes_min_max[i][1] if elements[i] < min_value: min_value = elements[i] elif elements[i]\",\n \"= line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric',\",\n \"> max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for i in\",\n \"for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return labels,\",\n \"1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line = re.sub('\\\\s+', '',\",\n \"\\\"\\\"\\\" The Tornado Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran\",\n \"Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range =\",\n \"used to read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = [] attributes\",\n \"@staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max = [] records\",\n \"def read(file_path): labels = [] attributes = [] attributes_min_max = [] records =\",\n \"True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is\",\n \"alipsgh -at- gmail -dot- com \\\"\\\"\\\" import re from data_structures.attribute import Attribute from\",\n \"[] records = [] data_flag = False reader = open(file_path, \\\"r\\\") for line\",\n \"i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i])\",\n \"line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i]\",\n \"i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: attributes[i].set_bounds_values(attributes_min_max[i][0], attributes_min_max[i][1]) return labels, attributes,\",\n \"attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif\",\n \"reader = open(file_path, \\\"r\\\") for line in reader: if line.strip() == '': continue\",\n \"= line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name)\",\n \"attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True\",\n \"Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used to read\",\n \"line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real',\",\n \"len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value = attributes_min_max[i][0]\",\n \"range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value =\",\n \"= re.sub('\\\\s+', '', line) elements = line.split(',') for i in range(0, len(elements) -\",\n \"elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements)\",\n \"to read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = [] attributes =\",\n \"= attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\")\",\n \"attributes = [] attributes_min_max = [] records = [] data_flag = False reader\",\n \"0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\", \\\"\\\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None,\",\n \"= Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range\",\n \"import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used to read a .arff file.\\\"\\\"\\\"\",\n \"attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif data_flag is True: line =\",\n \"file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max = []\",\n \"TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else: attribute_type = TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\\\"'\\\",\",\n \"= False reader = open(file_path, \\\"r\\\") for line in reader: if line.strip() ==\",\n \"line) elements = line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE\",\n \"<NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca /\",\n \"= [] attributes = [] attributes_min_max = [] records = [] data_flag =\",\n \"elements = line.split(',') for i in range(0, len(elements) - 1): if attributes[i].TYPE ==\",\n \"com \\\"\\\"\\\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class\",\n \"== '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split('\",\n \"= [min_value, max_value] records.append(elements) for i in range(0, len(attributes)): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE:\",\n \"Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com\",\n \"attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE\",\n \"gmail -dot- com \\\"\\\"\\\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import\",\n \"attributes_min_max = [] records = [] data_flag = False reader = open(file_path, \\\"r\\\")\",\n \"attribute_name = line[1] attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in\",\n \"1) continue elif data_flag is True: line = re.sub('\\\\s+', '', line) elements =\",\n \"-at- gmail -dot- com \\\"\\\"\\\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary\",\n \"read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = [] attributes = []\",\n \"elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i] = [min_value, max_value] records.append(elements) for\",\n \"line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name = line[1]\",\n \"TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used to read a .arff file.\\\"\\\"\\\" @staticmethod\",\n \"\\\"\\\"\\\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader:\",\n \"line = line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2]\",\n \"a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max\",\n \"in range(0, len(elements) - 1): if attributes[i].TYPE == TornadoDic.NUMERIC_ATTRIBUTE: elements[i] = float(elements[i]) min_value\",\n \"is used to read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = []\",\n \"-dot- com \\\"\\\"\\\" import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic\",\n \"By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca\",\n \"= line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']: attribute_type\",\n \"in ['numeric', 'real', 'integer']: attribute_type = TornadoDic.NUMERIC_ATTRIBUTE attribute_value_range = [] attributes_min_max.append([0, 0]) else:\",\n \".arff file.\\\"\\\"\\\" @staticmethod def read(file_path): labels = [] attributes = [] attributes_min_max =\",\n \"attribute_value_range = line[2] attribute = Attribute() attribute.set_name(attribute_name) if attribute_value_range.lower() in ['numeric', 'real', 'integer']:\",\n \"labels = [] attributes = [] attributes_min_max = [] records = [] data_flag\",\n \"-at- uottawa -dot- ca / alipsgh -at- gmail -dot- com \\\"\\\"\\\" import re\",\n \"data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used\",\n \"Ontario, Canada E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot-\",\n \"attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag\",\n \"data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1) continue elif\",\n \"line in reader: if line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line\",\n \"ARFFReader: \\\"\\\"\\\"This class is used to read a .arff file.\\\"\\\"\\\" @staticmethod def read(file_path):\",\n \"The Tornado Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at-\",\n \"import re from data_structures.attribute import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This\",\n \"re.sub('\\\\s+', '', line) elements = line.split(',') for i in range(0, len(elements) - 1):\",\n \"Framework By <NAME> University of Ottawa, Ontario, Canada E-mail: apesaran -at- uottawa -dot-\",\n \"import Attribute from dictionary.tornado_dictionary import TornadoDic class ARFFReader: \\\"\\\"\\\"This class is used to\",\n \"E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com \\\"\\\"\\\"\",\n \"or line.startswith(\\\"@DATA\\\"): data_flag = True labels = attributes[len(attributes) - 1].POSSIBLE_VALUES attributes.pop(len(attributes) - 1)\",\n \"line.strip('\\\\n\\\\r\\\\t') line = line.split(' ') attribute_name = line[1] attribute_value_range = line[2] attribute =\",\n \"< min_value: min_value = elements[i] elif elements[i] > max_value: max_value = elements[i] attributes_min_max[i]\",\n \"attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range) attributes.append(attribute) elif line.startswith(\\\"@data\\\") or line.startswith(\\\"@DATA\\\"): data_flag = True labels\",\n \"open(file_path, \\\"r\\\") for line in reader: if line.strip() == '': continue if line.startswith(\\\"@attribute\\\")\",\n \"if line.strip() == '': continue if line.startswith(\\\"@attribute\\\") or line.startswith(\\\"@ATTRIBUTE\\\"): line = line.strip('\\\\n\\\\r\\\\t') line\"\n]","isConversational":false}}},{"rowIdx":762,"cells":{"ngram":{"kind":"list like","value":["from keras import backend as K from evolution import Evolution from genome_handler import","#mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) =","to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler =","import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as","# nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train),","__future__ import print_function from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils","# includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\")","print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train,","= x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') /","import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num","from __future__ import print_function from keras.datasets import mnist from keras.datasets import cifar10 from","GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog()","n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10, epochs=20,metric='acc') #epochs=10,metric='loss') print(model.summary())","mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train),","evolution import Evolution from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras","y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4,","from evolution import Evolution from genome_handler import GenomeHandler import tensorflow as tf #import","GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo =","tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \",","len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) =","((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer","mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test)","#mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data()","x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 #","\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test)","dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final","genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow","dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model = evo.run(dataset=dataset,","255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train =","as K from evolution import Evolution from genome_handler import GenomeHandler import tensorflow as","import print_function from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import","to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, #","GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train),","keras import backend as K from evolution import Evolution from genome_handler import GenomeHandler","max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler,","keras.utils.np_utils import to_categorical import numpy as np from keras import backend as K","mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as np","K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data()","= ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense","Evolution from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow","= GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo","tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs","keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as np from keras","print_function from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical","mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') /","= x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test","#y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes","y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512,","input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10, epochs=20,metric='acc') #epochs=10,metric='loss')","#(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train","= to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2,","import backend as K from evolution import Evolution from genome_handler import GenomeHandler import","nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test,","import cifar10 from keras.utils.np_utils import to_categorical import numpy as np from keras import","/ 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train","import numpy as np from keras import backend as K from evolution import","y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1],","x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test)","Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test,","numpy as np from keras import backend as K from evolution import Evolution","y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train =","x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255","255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train,","cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2],","#import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train,","x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses","max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10, epochs=20,metric='acc')","x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train)","import to_categorical import numpy as np from keras import backend as K from","= cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1],","/ 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset =","mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\")","from keras.utils.np_utils import to_categorical import numpy as np from keras import backend as","(x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0],","genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10)","y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test))","(x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test =","import Evolution from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import","#import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test,","y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test","layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model = evo.run(dataset=dataset, num_generations=40,","y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0],","max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10,","keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy","from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import","(x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255","x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test =","from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as np from","x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32')","y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:],","includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model","K from evolution import Evolution from genome_handler import GenomeHandler import tensorflow as tf","np from keras import backend as K from evolution import Evolution from genome_handler","import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog()","as np from keras import backend as K from evolution import Evolution from","(x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024,","x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset","= mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32')","from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import","final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\"log/evo_cifar10_gen40_pop10_e20.csv\") model =","= to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler","x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape","backend as K from evolution import Evolution from genome_handler import GenomeHandler import tensorflow","#import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU')))","as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available:","to_categorical import numpy as np from keras import backend as K from evolution","cifar10 from keras.utils.np_utils import to_categorical import numpy as np from keras import backend"],"string":"[\n \"from keras import backend as K from evolution import Evolution from genome_handler import\",\n \"#mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) =\",\n \"to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler =\",\n \"import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as\",\n \"# nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train),\",\n \"__future__ import print_function from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils\",\n \"# includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\")\",\n \"print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train,\",\n \"= x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') /\",\n \"import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num\",\n \"from __future__ import print_function from keras.datasets import mnist from keras.datasets import cifar10 from\",\n \"GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog()\",\n \"n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10, epochs=20,metric='acc') #epochs=10,metric='loss') print(model.summary())\",\n \"mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train),\",\n \"evolution import Evolution from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras\",\n \"y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4,\",\n \"from evolution import Evolution from genome_handler import GenomeHandler import tensorflow as tf #import\",\n \"GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo =\",\n \"tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\",\",\n \"len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) =\",\n \"((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer\",\n \"mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test)\",\n \"#mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data()\",\n \"x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 #\",\n \"\\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test)\",\n \"dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final\",\n \"genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow\",\n \"dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model = evo.run(dataset=dataset,\",\n \"255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train =\",\n \"as K from evolution import Evolution from genome_handler import GenomeHandler import tensorflow as\",\n \"import print_function from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import\",\n \"to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, #\",\n \"GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train),\",\n \"keras import backend as K from evolution import Evolution from genome_handler import GenomeHandler\",\n \"max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler,\",\n \"keras.utils.np_utils import to_categorical import numpy as np from keras import backend as K\",\n \"mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as np\",\n \"K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data()\",\n \"= ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense\",\n \"Evolution from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow\",\n \"= GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo\",\n \"tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs\",\n \"keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as np from keras\",\n \"print_function from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical\",\n \"mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') /\",\n \"= x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test\",\n \"#y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes\",\n \"y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512,\",\n \"input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10, epochs=20,metric='acc') #epochs=10,metric='loss')\",\n \"#(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train\",\n \"= to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2,\",\n \"import backend as K from evolution import Evolution from genome_handler import GenomeHandler import\",\n \"nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test,\",\n \"import cifar10 from keras.utils.np_utils import to_categorical import numpy as np from keras import\",\n \"/ 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train\",\n \"import numpy as np from keras import backend as K from evolution import\",\n \"y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1],\",\n \"x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test)\",\n \"Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test,\",\n \"numpy as np from keras import backend as K from evolution import Evolution\",\n \"y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train =\",\n \"x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255\",\n \"255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train,\",\n \"cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2],\",\n \"#import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train,\",\n \"x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses\",\n \"max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10, epochs=20,metric='acc')\",\n \"x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train)\",\n \"import to_categorical import numpy as np from keras import backend as K from\",\n \"= cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1],\",\n \"/ 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset =\",\n \"mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\")\",\n \"from keras.utils.np_utils import to_categorical import numpy as np from keras import backend as\",\n \"(x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0],\",\n \"genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10)\",\n \"y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test))\",\n \"(x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test =\",\n \"import Evolution from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import\",\n \"#import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\\\"channels_last\\\") #(x_train, y_train), (x_test,\",\n \"y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test\",\n \"layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model = evo.run(dataset=dataset, num_generations=40,\",\n \"y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0],\",\n \"max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model = evo.run(dataset=dataset, num_generations=40, pop_size=10,\",\n \"keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy\",\n \"from genome_handler import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import\",\n \"(x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255\",\n \"x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test =\",\n \"from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import numpy as np from\",\n \"x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32') / 255 x_test = x_test.reshape(x_test.shape[0], x_test.shape[1], x_test.shape[2], x_test.shape[3]).astype('float32')\",\n \"y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:],\",\n \"includes final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model\",\n \"K from evolution import Evolution from genome_handler import GenomeHandler import tensorflow as tf\",\n \"np from keras import backend as K from evolution import Evolution from genome_handler\",\n \"import GenomeHandler import tensorflow as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog()\",\n \"as np from keras import backend as K from evolution import Evolution from\",\n \"(x_test, y_test)) genome_handler = GenomeHandler(max_conv_layers=4, max_dense_layers=2, # includes final dense layer max_filters=512, max_dense_nodes=1024,\",\n \"x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset\",\n \"= mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2],x_train.shape[3]).astype('float32')\",\n \"from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils.np_utils import to_categorical import\",\n \"final dense layer max_filters=512, max_dense_nodes=1024, input_shape=x_train.shape[1:], n_classes=10) evo = Evolution(genome_handler, data_path=\\\"log/evo_cifar10_gen40_pop10_e20.csv\\\") model =\",\n \"= to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape dataset = ((x_train, y_train), (x_test, y_test)) genome_handler\",\n \"x_test.shape[2], x_test.shape[3]).astype('float32') / 255 # nCLasses y_train = to_categorical(y_train) y_test = to_categorical(y_test) #y_train.shape\",\n \"backend as K from evolution import Evolution from genome_handler import GenomeHandler import tensorflow\",\n \"#import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available: \\\", len(tf.config.list_physical_devices('GPU')))\",\n \"as tf #import mlflow.keras #import mlflow #import mlflow.tensorflow #mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\\\"Num GPUs Available:\",\n \"to_categorical import numpy as np from keras import backend as K from evolution\",\n \"cifar10 from keras.utils.np_utils import to_categorical import numpy as np from keras import backend\"\n]","isConversational":false}}},{"rowIdx":763,"cells":{"ngram":{"kind":"list like","value":["== 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] *","obtener la dirección hacia donde debe moverse el automóvil, regresa la dirección #","guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell =","col < width - 2: agent.direction = (-1, 0) else: agent.direction = (0,","a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell","y los semáforos del lado #izquierdo dan luz roja. else: for agent in","para validar si la posición es válida, en caso de que sea válida",">= height -2 and row < height: if col < width - 2:","0: if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles","agent.light return True #Función para checar si hay otro automovil enfrente, regresa un","semáforos del lado #izquierdo dan luz roja. else: for agent in self.schedule.agents: if","width // 2: agent.direction = (-1, 0) else: agent.direction = (1, 0) else:","= 8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i","from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from","calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for","return counter #Clase para crear a los agentes calle. class StreetAgent(Agent): def __init__(self,","x = 8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif","// 2 + 1 and row > 1 and row < width -","if col < 2: agent.direction = (0, -1) elif col >= width -","contrario los semáforos del lado derecho dan luz verde y los semáforos del","counter += 1 return counter #Clase para crear a los agentes calle. class","la dirección # de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position):","position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para","uno de vecino. En caso contrario regresa True. def check_light(self): for agent in","variable guarda el resultado de la función get_poss_cell(). #La siguiente celda del automóvil","import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import","semáforos tienen más automóviles. count_left = 0 count_right = 0 #Loop para añadir","self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior de las","para crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id,","en caso # de que el automóvil tenga uno de vecino. En caso","regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return","el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction","1: if col > width // 2: agent.direction = (-1, 0) else: agent.direction","False elif row >= height -2 and row < height: if col <","(x, y)) elif i == 1: x = 8 y = 10 alight.light","el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente","calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type","== 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif","agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right","col < width: agent.direction = (0, 1) else: flag = False elif row","else: agent.direction = (1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col,","model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para cambiar la","automóviles, los semáforos del lado izquierdo #dan luz verde y los semáforos del","verdadera se cambia la dirección del automóvil. if direction: self.direction = direction #En",">= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las","del semáforo en caso # de que el automóvil tenga uno de vecino.","and row < height // 2 + 1 and row > 1 and","else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell)","self.light #Función para contar el número de automóviles que hay en un semáforo,","del automóvil cambia al valor de la variable. else: poss = self.get_poss_cell() self.next_cell","if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return None #Función","las calles, donde está el cruce. for row in range(height): for col in","el contador con el número de automóviles. def count_cars(self): counter = 0 neighborhood","resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda","roja. else: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id ==","elif row > height // 2 - 2 and row < height //","#Condición, si el lado izquierdo tiene más automóviles, los semáforos del lado izquierdo","de la variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0] +","for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter","= (0, 1) else: flag = False elif row >= height -2 and","= StreetAgent(self.uids, self) self.uids += 1 flag = True if col > width","self.direction: return agent.direction return None #Función para revisar la luz de los semáforos,","para crear la parte exterior de las calles, donde NO está el cruce.","= RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width self.height =","dirección # de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if","< 2: agent.direction = (0, -1) elif col >= width - 2 and","import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import","#Función para avanzar hacia el frente, regresa el valor de la variable move","self.model.width and position[1] < self.model.height and position[0] >= 0 and position[1] >= 0:","in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0]","= 8 y = 9 if i == 0: alight.light = True self.grid.place_agent(alight,","roja. if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type == 1:","su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario","True, en caso contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width","flag = False elif row >= height -2 and row < height: if","de los semáforos, regresa la luz del semáforo en caso # de que","== 1: if agent.unique_id == 0: agent.light = True elif agent.unique_id == 1:","count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el","street_pos.append((col, row)) #Loop para crear la parte exterior de las calles, donde NO","agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars()","= True elif agent.unique_id == 2: agent.light = False else: agent.light = False","2: if agent.direction != self.direction: return agent.direction return None #Función para revisar la","import DataCollector from mesa.space import MultiGrid from mesa import Agent , Model from","en caso contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width and","[] self.lights = 4 #Loop para crear la parte interior de las calles,","self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction","más automóviles. count_left = 0 count_right = 0 #Loop para añadir a los","False else: agent.light = False #En caso contrario los semáforos del lado derecho","#En caso contrario una variable guarda el resultado de la función get_poss_cell(). #La","count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id ==","# regresa el contador con el número de automóviles. def count_cars(self): counter =","count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id","self.turn() #Condición, si la variable direction es verdadera se cambia la dirección del","elif agent.unique_id == 1: agent.light = True elif agent.unique_id == 2: agent.light =","1 return counter #Clase para crear a los agentes calle. class StreetAgent(Agent): def","street_pos = [] self.lights = 4 #Loop para crear la parte interior de","agent.agent_type == 1: if agent.unique_id == 0: agent.light = False elif agent.unique_id ==","regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type ==","self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda","exterior de las calles, donde NO está el cruce. for row in range(height):","and col < width: agent.direction = (0, 1) else: flag = False elif","1 self.schedule.add(alight) x = 8 y = 9 if i == 0: alight.light","for col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag =","self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def","False #En caso contrario los semáforos del lado derecho dan luz verde y","alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10","self.height = height street_pos = [] self.lights = 4 #Loop para crear la","2 and row < height // 2 + 1 and row > 1","0 #Función para validar si la posición es válida, en caso de que","y = 9 if i == 0: alight.light = True self.grid.place_agent(alight, (x, y))","1: if agent.unique_id == 0: agent.light = True elif agent.unique_id == 1: agent.light","row)) #Loop para crear los automóviles en posiciones random donde hay calle. for","if agent.direction != self.direction: return agent.direction return None #Función para revisar la luz","hay otro automovil enfrente, regresa un valor booleano. def check_car(self): for agent in","= TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9","< height - 1: if row >= height // 2: agent.direction = (0,","cruce. for row in range(height): for col in range(width): agent = StreetAgent(self.uids, self)","de automóviles que hay en un semáforo, # regresa el contador con el","int, height: int): self.num_agents = N self.running = True self.grid = MultiGrid(width, height,","2 + 1 and row > 1 and row < width - 1:","la dirección del automóvil. if direction: self.direction = direction #En caso contrario una","#Función para recibir las posibles celdas a dónde moverse, regresa la posición de","dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for","= self.turn() #Condición, si la variable direction es verdadera se cambia la dirección","True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids","y)) def step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left =","agent.unique_id == 0: agent.light = True elif agent.unique_id == 1: agent.light = True","cada lado. for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id ==","== 1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1:","step(self): #Variable para guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell()","2 and row < height - 2: if col < 2: agent.direction =","agent.unique_id == 1: agent.light = False elif agent.unique_id == 2: agent.light = True","in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter #Clase para","StreetAgent(self.uids, self) self.uids += 1 flag = True if row < 2: if","que hay en cada lado. for agent in self.schedule.agents: if agent.agent_type == 1:","una variable guarda el resultado de la función get_poss_cell(). #La siguiente celda del","la dirección hacia donde debe moverse el automóvil, regresa la dirección # de","and col > 1 and col < height - 1: if row >=","1 and row < width - 1: if col > width // 2:","!= self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa el valor","== 1: agent.light = False elif agent.unique_id == 2: agent.light = True else:","self.schedule.add(alight) x = 8 y = 9 if i == 0: alight.light =","if col > width // 2: agent.direction = (-1, 0) else: agent.direction =","0 self.lights_ids = 0 self.width = width self.height = height street_pos = []","agent.light = False #En caso contrario los semáforos del lado derecho dan luz","def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función","True if row < 2: if col < width - 2: agent.direction =","2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si","!= self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar","def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction","alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y =","automóvil cambia al valor de la variable. else: poss = self.get_poss_cell() self.next_cell =","(x, y)) else: x = 11 y = 10 alight.light = False self.grid.place_agent(alight,","row >= height -2 and row < height: if col < width -","9 if i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i","#Función para checar si hay otro automovil enfrente, regresa un valor booleano. def","los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type =","self.next_cell = None self.direction = None self.agent_type = 0 #Función para validar si","from mesa.time import RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent):","self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1])","def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in","#Función para contar el número de automóviles que hay en un semáforo, #","== 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif","pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a,","col < width // 2 + 1 and col > 1 and col","StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2","caso de que sea válida regresa True, en caso contrario #regresa False. def","calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell):","include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0:","para contar el número de automóviles que hay en un semáforo, # regresa","siguiente celda del automóvil cambia al valor de la variable. else: poss =","En caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type","(self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and","== 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición,","1: agent.light = False elif agent.unique_id == 2: agent.light = True else: agent.light","width - 2: agent.direction = (1, 0) else: agent.direction = (0, 1) elif","True self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11 y =","+ 1 and col > 1 and col < height - 1: if","neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell):","DataCollector from mesa.space import MultiGrid from mesa import Agent , Model from mesa.time","// 2 - 2 and row < height // 2 + 1 and","in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = True","if position[0] < self.model.width and position[1] < self.model.height and position[0] >= 0 and","row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random donde hay","-2 and row < height: if col < width - 2: agent.direction =","el valor de la variable move que son coordenadas. def get_nextcell(self): move =","< self.model.height and position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position):","caso contrario una varible guarda el resultado de la función turn(). else: direction","super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para crear el modelo.","2: x = 11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y))","+ 1 and row > 1 and row < width - 1: if","self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random","luz de los semáforos. def change(self): self.light = not self.light #Función para contar","True elif agent.unique_id == 2: agent.light = False else: agent.light = False #En","semáforos del lado derecho dan luz roja. if count_left >= count_right: for agent","tiene más automóviles, los semáforos del lado izquierdo #dan luz verde y los","derecho dan luz verde y los semáforos del lado #izquierdo dan luz roja.","else: agent.light = False #En caso contrario los semáforos del lado derecho dan","self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1","la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida,","self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles celdas a dónde","#Condición, si la siguiente celda es válida, se guarda en el automóvil y","lado izquierdo #dan luz verde y los semáforos del lado derecho dan luz","self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11 y = 9","a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1)","= False elif agent.unique_id == 1: agent.light = False elif agent.unique_id == 2:","automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction","CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None","dar vuelta, regresa la dirección de la calle. def turn(self): for cell in","valor de la variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car():","0 #Loop para añadir a los contadores la cantidad de automóviles que hay","varible guarda el resultado de la función turn(). else: direction = self.turn() #Condición,","else: agent.direction = (0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col,","los semáforos. def change(self): self.light = not self.light #Función para contar el número","flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones","variable direction es verdadera se cambia la dirección del automóvil. if direction: self.direction","row in range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids +=","agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más","verde y los semáforos del lado #izquierdo dan luz roja. else: for agent","= not self.light #Función para contar el número de automóviles que hay en","donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids +=","count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0:","agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id ==","< width: agent.direction = (0, 1) else: flag = False elif row >=","crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model)","agent.direction return None #Función para revisar la luz de los semáforos, regresa la","elif agent.unique_id == 1: agent.light = False elif agent.unique_id == 2: agent.light =","de automóviles que hay en cada lado. for agent in self.schedule.agents: if agent.agent_type","return True return False #Función para recibir las posibles celdas a dónde moverse,","if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior","height - 1: if row >= height // 2: agent.direction = (0, 1)","agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars()","self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class","los contadores la cantidad de automóviles que hay en cada lado. for agent","= self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if","height -2 and row < height: if col < width - 2: agent.direction","de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent","2 and col < width: agent.direction = (0, 1) else: flag = False","verde y los semáforos del lado derecho dan luz roja. if count_left >=","elif col >= width - 2 and col < width: agent.direction = (0,","width // 2 + 1 and col > 1 and col < height","counter #Clase para crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id,","- 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los","0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in","True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light","semáforo, # regresa el contador con el número de automóviles. def count_cars(self): counter","los semáforos del lado derecho dan luz verde y los semáforos del lado","poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes","= None self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model): def","self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids =","count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id ==","not self.light #Función para contar el número de automóviles que hay en un","a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction","neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return","unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para cambiar","col >= width - 2 and col < width: agent.direction = (0, 1)","move #Función para obtener la dirección hacia donde debe moverse el automóvil, regresa","validar si la posición es válida, en caso de que sea válida regresa","N self.running = True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids","None #Función para revisar la luz de los semáforos, regresa la luz del","else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para","contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width and position[1] <","< height - 2: if col < 2: agent.direction = (0, -1) elif","1: if row >= height // 2: agent.direction = (0, 1) else: agent.direction","#Contadores para saber cuáles semáforos tienen más automóviles. count_left = 0 count_right =","random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner","(1, 0) else: agent.direction = (0, 1) elif row >= 2 and row","NO está el cruce. for row in range(height): for col in range(width): agent","== 3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles,","la función get_poss_cell(). #La siguiente celda del automóvil cambia al valor de la","len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear","= True if col > width // 2 - 2 and col <","agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction","- 2 and row < height // 2 + 1 and row >","agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] *","for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función","agent.direction = (1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col, row))","caso contrario los semáforos del lado derecho dan luz verde y los semáforos","False elif agent.unique_id == 2: agent.light = True else: agent.light = True self.schedule.step()","== 2: if agent.direction != self.direction: return agent.direction return None #Función para revisar","self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda en el automóvil","luz de los semáforos, regresa la luz del semáforo en caso # de","row > 1 and row < width - 1: if col > width","agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None","1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id","del automóvil. if direction: self.direction = direction #En caso contrario una variable guarda","de la función get_poss_cell(). #La siguiente celda del automóvil cambia al valor de","para crear la parte interior de las calles, donde está el cruce. for","variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self,","lado izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan luz verde","self) self.uids += 1 flag = True if row < 2: if col","= next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado","= 0 self.lights_ids = 0 self.width = width self.height = height street_pos =","interior de las calles, donde está el cruce. for row in range(height): for","flag = True if row < 2: if col < width - 2:","agent.light = True elif agent.unique_id == 2: agent.light = False else: agent.light =","agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0]","semáforos del lado izquierdo #dan luz verde y los semáforos del lado derecho","tenga uno de vecino. En caso contrario regresa True. def check_light(self): for agent","- 2 and col < width: agent.direction = (0, 1) else: flag =","in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función para checar","if agent.agent_type == 1: return agent.light return True #Función para checar si hay","se guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell","True self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8 y =","position[1] < self.model.height and position[0] >= 0 and position[1] >= 0: if not","de los semáforos. def change(self): self.light = not self.light #Función para contar el",">= count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id ==","función get_poss_cell(). #La siguiente celda del automóvil cambia al valor de la variable.","import MultiGrid from mesa import Agent , Model from mesa.time import RandomActivation #Clase","= 0 #Loop para añadir a los contadores la cantidad de automóviles que","0) else: agent.direction = (0, 1) elif row >= 2 and row <","if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos.","> 1 and col < height - 1: if row >= height //","else: flag = False elif row >= height -2 and row < height:","de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in","son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return","un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0:","col > width // 2: agent.direction = (-1, 0) else: agent.direction = (1,","la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood:","de que el automóvil tenga uno de vecino. En caso contrario regresa True.","enfrente, regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type","self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear","un semáforo, # regresa el contador con el número de automóviles. def count_cars(self):","for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type ==","#En caso contrario los semáforos del lado derecho dan luz verde y los","if agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa la dirección","automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell","self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index)","guarda el resultado de la función get_poss_cell(). #La siguiente celda del automóvil cambia","0: return False return True def step(self): #Variable para guardar el resultado de","// 2: agent.direction = (0, 1) else: agent.direction = (0, -1) elif row","0: agent.light = False elif agent.unique_id == 1: agent.light = False elif agent.unique_id","check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True","que hay en un semáforo, # regresa el contador con el número de","10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2: x =","agent.direction = (-1, 0) else: agent.direction = (0, 1) else: flag = False","izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan luz verde y","-1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para","return agent.direction return None #Función para revisar la luz de los semáforos, regresa","0) else: agent.direction = (0, 1) else: flag = False if flag: self.grid.place_agent(agent,","del lado #izquierdo dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type","range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if col","else: agent.direction = (0, 1) elif row >= 2 and row < height","semáforos, regresa la luz del semáforo en caso # de que el automóvil","2 + 1 and col > 1 and col < height - 1:","los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1","#Variable para guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición,","col > width // 2 - 2 and col < width // 2","= None self.agent_type = 0 #Función para validar si la posición es válida,","donde debe moverse el automóvil, regresa la dirección # de la calle. def","and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar hacia el","- 2 and col < width // 2 + 1 and col >","def step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left = 0","en cada lado. for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id","= self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight","import RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent): def __init__(self,","col < 2: agent.direction = (0, -1) elif col >= width - 2","+= 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction =","count_right = 0 #Loop para añadir a los contadores la cantidad de automóviles","= self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos)","agent.light = False else: agent.light = False #En caso contrario los semáforos del","(0, 1) elif row >= 2 and row < height - 2: if","# de que el automóvil tenga uno de vecino. En caso contrario regresa","False #Función para recibir las posibles celdas a dónde moverse, regresa la posición","self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la dirección hacia donde","#Loop para crear la parte exterior de las calles, donde NO está el","return agent.light return True #Función para checar si hay otro automovil enfrente, regresa","unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para crear","False self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10 alight.light =","next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 !=","def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type","de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for","width - 2 and col < width: agent.direction = (0, 1) else: flag","def is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height and position[0]","#Clase para crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model):","x = 11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def","agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return None #Función para","for row in range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids","2: if col < 2: agent.direction = (0, -1) elif col >= width","agent.direction = (0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col, row))","cambia al valor de la variable. else: poss = self.get_poss_cell() self.next_cell = poss","+ self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la dirección hacia","la siguiente celda es válida, se guarda en el automóvil y se cambia","agent.direction != self.direction: return agent.direction return None #Función para revisar la luz de","// 2: agent.direction = (-1, 0) else: agent.direction = (1, 0) else: flag","= MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0","height - 2: if col < 2: agent.direction = (0, -1) elif col","agent.agent_type == 1: if agent.unique_id == 0: agent.light = True elif agent.unique_id ==","los semáforos del lado derecho dan luz roja. if count_left >= count_right: for","regresa True, en caso contrario #regresa False. def is_valid(self, position): if position[0] <","= poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los","del lado izquierdo #dan luz verde y los semáforos del lado derecho dan","#dan luz verde y los semáforos del lado derecho dan luz roja. if","= (0, 1) elif row >= 2 and row < height - 2:","en posiciones random donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids,","calles, donde está el cruce. for row in range(height): for col in range(width):","= 11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x","col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True","(0, -1) elif row > height // 2 - 2 and row <",">= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False","contadores la cantidad de automóviles que hay en cada lado. for agent in","* -1 != self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa","self.model.height and position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return","''' from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer","modelo. class CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents =","// 2 + 1 and col > 1 and col < height -","+= agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3:","self.running = True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids =","1: x = 8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y))","RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id,","(x, y)) def step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left","elif row >= height -2 and row < height: if col < width","def step(self): #Variable para guardar el resultado de la función get_nextcell(). next_cell =","x = 11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else:","+= 1 flag = True if col > width // 2 - 2","función turn(). else: direction = self.turn() #Condición, si la variable direction es verdadera","elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right +=","import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import","False. def is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height and","de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type ==","= CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos","x = 8 y = 9 if i == 0: alight.light = True","agent.direction = (0, -1) elif row > height // 2 - 2 and","width - 1: if col > width // 2: agent.direction = (-1, 0)","self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id,","self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars() elif","self.direction = direction #En caso contrario una variable guarda el resultado de la","crear la parte interior de las calles, donde está el cruce. for row","get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función","CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos =","si hay otro automovil enfrente, regresa un valor booleano. def check_car(self): for agent","= (1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col,","if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent):","0 self.width = width self.height = height street_pos = [] self.lights = 4","2: agent.direction = (1, 0) else: agent.direction = (0, 1) elif row >=","+= 1 return counter #Clase para crear a los agentes calle. class StreetAgent(Agent):","agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left +=","for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return","height: int): self.num_agents = N self.running = True self.grid = MultiGrid(width, height, False)","mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import Agent , Model","in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8","self.lights = 4 #Loop para crear la parte interior de las calles, donde","8 y = 9 if i == 0: alight.light = True self.grid.place_agent(alight, (x,","= True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0","0: agent.light = True elif agent.unique_id == 1: agent.light = True elif agent.unique_id","+= agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los semáforos del","count_left = 0 count_right = 0 #Loop para añadir a los contadores la","función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida, se","self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model): def __init__(self, N:","flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior de","row)) street_pos.append((col, row)) #Loop para crear la parte exterior de las calles, donde","#En caso contrario una varible guarda el resultado de la función turn(). else:","(0, 1) else: agent.direction = (0, -1) elif row > height // 2","counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for","from mesa.space import MultiGrid from mesa import Agent , Model from mesa.time import","# de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type","el modelo. class CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents","self.direction[1]) return move #Función para obtener la dirección hacia donde debe moverse el","in range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1","y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para","< 2: if col < width - 2: agent.direction = (1, 0) else:","agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los semáforos del lado","height // 2: agent.direction = (0, 1) else: agent.direction = (0, -1) elif","vecino. En caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if","agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light =","A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import","lado derecho dan luz verde y los semáforos del lado #izquierdo dan luz","luz roja. else: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id","automóvil, regresa la dirección # de la calle. def get_nextdirect(self, position): for agent","checar si hay otro automovil enfrente, regresa un valor booleano. def check_car(self): for","contrario una variable guarda el resultado de la función get_poss_cell(). #La siguiente celda","MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width","para añadir a los contadores la cantidad de automóviles que hay en cada","class CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents = N","que el automóvil tenga uno de vecino. En caso contrario regresa True. def","else: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0:","if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible","agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def step(self):","= 2 #Clase para crear el modelo. class CarModel(Model): def __init__(self, N: int,","booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False","if agent.unique_id == 0: agent.light = True elif agent.unique_id == 1: agent.light =","True if col > width // 2 - 2 and col < width","+= agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2:","= False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos tienen","- 1: if col > width // 2: agent.direction = (-1, 0) else:","< width - 2: agent.direction = (-1, 0) else: agent.direction = (0, 1)","los semáforos del lado #izquierdo dan luz roja. else: for agent in self.schedule.agents:","dónde moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos,","in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return","es válida, en caso de que sea válida regresa True, en caso contrario","self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type","mesa import Agent , Model from mesa.time import RandomActivation #Clase para crear a","flag = True if col > width // 2 - 2 and col","automóviles en posiciones random donde hay calle. for i in range(self.num_agents): a =","return False return True def step(self): #Variable para guardar el resultado de la","#regresa False. def is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height","2: agent.direction = (-1, 0) else: agent.direction = (0, 1) else: flag =","self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos tienen más automóviles.","#Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model):","vuelta, regresa la dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos,","agent.unique_id == 0: agent.light = False elif agent.unique_id == 1: agent.light = False","para cambiar la luz de los semáforos. def change(self): self.light = not self.light",", Model from mesa.time import RandomActivation #Clase para crear a los agentes automóviles","regresa la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False)","es válida, se guarda en el automóvil y se cambia su dirección. if","parte interior de las calles, donde está el cruce. for row in range(height):","= 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent","> width // 2 - 2 and col < width // 2 +","automóvil. if direction: self.direction = direction #En caso contrario una variable guarda el","self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa el valor de","agent.agent_type == 1: return agent.light return True #Función para checar si hay otro","TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False","0) else: agent.direction = (1, 0) else: flag = False if flag: self.grid.place_agent(agent,","- agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1]","automóviles que hay en un semáforo, # regresa el contador con el número","la parte exterior de las calles, donde NO está el cruce. for row","- 2: agent.direction = (1, 0) else: agent.direction = (0, 1) elif row","agent.direction = (0, 1) elif row >= 2 and row < height -","(x, y)) elif i == 2: x = 11 y = 9 alight.light","Autores:<NAME> A01749381 <NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random","if i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i ==","self.direction = None self.agent_type = 0 #Función para validar si la posición es","1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction","self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter #Clase para crear","street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in","self.agent_type = 1 self.light = False #Función para cambiar la luz de los","self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9 if i ==","agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars()","de vecino. En caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell):","- 2: if col < 2: agent.direction = (0, -1) elif col >=","de la variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if","= 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11 y","False #Función para cambiar la luz de los semáforos. def change(self): self.light =","2 - 2 and row < height // 2 + 1 and row","turn(). else: direction = self.turn() #Condición, si la variable direction es verdadera se","== 1: agent.light = True elif agent.unique_id == 2: agent.light = False else:","else: agent.direction = (0, -1) elif row > height // 2 - 2","+ self.direction[1]) return move #Función para obtener la dirección hacia donde debe moverse","include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction:","RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width self.height = height","get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda","la luz de los semáforos. def change(self): self.light = not self.light #Función para","= self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if","== 0: counter += 1 return counter #Clase para crear a los agentes","and position[1] < self.model.height and position[0] >= 0 and position[1] >= 0: if","crear la parte exterior de las calles, donde NO está el cruce. for","self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de la función turn().","unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type = 0","para crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id,","1) else: flag = False elif row >= height -2 and row <","= 11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self):","dan luz verde y los semáforos del lado #izquierdo dan luz roja. else:","range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag","para recibir las posibles celdas a dónde moverse, regresa la posición de la","los semáforos del lado izquierdo #dan luz verde y los semáforos del lado","if col < width - 2: agent.direction = (1, 0) else: agent.direction =","= 1 self.light = False #Función para cambiar la luz de los semáforos.","StreetAgent(self.uids, self) self.uids += 1 flag = True if col > width //","and row > 1 and row < width - 1: if col >","height // 2 + 1 and row > 1 and row < width","row < height: if col < width - 2: agent.direction = (-1, 0)","posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell","in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if","= False self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10 alight.light","for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def","#Clase para crear el modelo. class CarModel(Model): def __init__(self, N: int, width: int,","= False #Función para cambiar la luz de los semáforos. def change(self): self.light","semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light","dirección del automóvil. if direction: self.direction = direction #En caso contrario una variable","calles, donde NO está el cruce. for row in range(height): for col in","moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False,","calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return","width: int, height: int): self.num_agents = N self.running = True self.grid = MultiGrid(width,","from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import Agent ,","= (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0]","return move #Función para obtener la dirección hacia donde debe moverse el automóvil,","en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell","else: direction = self.turn() #Condición, si la variable direction es verdadera se cambia","change(self): self.light = not self.light #Función para contar el número de automóviles que","< width - 1: if col > width // 2: agent.direction = (-1,","(col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior de las calles,","= (-1, 0) else: agent.direction = (0, 1) else: flag = False if","street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random donde hay calle.","#Loop para crear los automóviles en posiciones random donde hay calle. for i","self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8 y = 10","si el lado izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan","agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right","def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if","is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height and position[0] >=","agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter #Clase","alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8","agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar vuelta,","''' Autores:<NAME> A01749381 <NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import","automovil enfrente, regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if","False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width","derecho dan luz roja. if count_left >= count_right: for agent in self.schedule.agents: if","donde NO está el cruce. for row in range(height): for col in range(width):","row >= height // 2: agent.direction = (0, 1) else: agent.direction = (0,","from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from","2: agent.direction = (0, 1) else: agent.direction = (0, -1) elif row >","agent.light = False elif agent.unique_id == 1: agent.light = False elif agent.unique_id ==","y)) elif i == 2: x = 11 y = 9 alight.light =","y)) else: x = 11 y = 10 alight.light = False self.grid.place_agent(alight, (x,","== 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1: x","hacia donde debe moverse el automóvil, regresa la dirección # de la calle.","== 2: x = 11 y = 9 alight.light = False self.grid.place_agent(alight, (x,","self.agent_type = 0 #Función para validar si la posición es válida, en caso","guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la","en un semáforo, # regresa el contador con el número de automóviles. def","range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if row","saber cuáles semáforos tienen más automóviles. count_left = 0 count_right = 0 #Loop","self.uids = 0 self.lights_ids = 0 self.width = width self.height = height street_pos","cuáles semáforos tienen más automóviles. count_left = 0 count_right = 0 #Loop para","super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type = 0 #Función para","height // 2 - 2 and row < height // 2 + 1","= (0, -1) elif row > height // 2 - 2 and row","flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear","los automóviles en posiciones random donde hay calle. for i in range(self.num_agents): a","agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1]","agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]:","True return False #Función para recibir las posibles celdas a dónde moverse, regresa","moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type ==","row < 2: if col < width - 2: agent.direction = (1, 0)","True elif agent.unique_id == 1: agent.light = True elif agent.unique_id == 2: agent.light","def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent","el resultado de la función get_poss_cell(). #La siguiente celda del automóvil cambia al","in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def step(self): #Variable","#Clase para crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model):","si la variable direction es verdadera se cambia la dirección del automóvil. if","- agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 !=","class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type =","2: if col < width - 2: agent.direction = (1, 0) else: agent.direction","lado #izquierdo dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type ==","lado derecho dan luz roja. if count_left >= count_right: for agent in self.schedule.agents:","self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction","agent.direction #Función para dar vuelta, regresa la dirección de la calle. def turn(self):","(-1, 0) else: agent.direction = (1, 0) else: flag = False if flag:","if agent.agent_type == 1: if agent.unique_id == 0: agent.light = True elif agent.unique_id","def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase","dirección hacia donde debe moverse el automóvil, regresa la dirección # de la","direction es verdadera se cambia la dirección del automóvil. if direction: self.direction =","agent.unique_id == 2: agent.light = False else: agent.light = False #En caso contrario","#Función para obtener la dirección hacia donde debe moverse el automóvil, regresa la","elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right +=","and position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True","if agent.agent_type == 0: counter += 1 return counter #Clase para crear a","válida regresa True, en caso contrario #regresa False. def is_valid(self, position): if position[0]","celda es válida, se guarda en el automóvil y se cambia su dirección.","for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0],","- 1: if row >= height // 2: agent.direction = (0, 1) else:","col < width - 2: agent.direction = (1, 0) else: agent.direction = (0,","para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id,","range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y","guarda el resultado de la función turn(). else: direction = self.turn() #Condición, si","1) elif row >= 2 and row < height - 2: if col","== 0: agent.light = False elif agent.unique_id == 1: agent.light = False elif","2: return agent.direction #Función para dar vuelta, regresa la dirección de la calle.","los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell =","if agent.unique_id == 0: agent.light = False elif agent.unique_id == 1: agent.light =","1: agent.light = True elif agent.unique_id == 2: agent.light = False else: agent.light","hacia el frente, regresa el valor de la variable move que son coordenadas.","la luz de los semáforos, regresa la luz del semáforo en caso #","== 0: agent.light = True elif agent.unique_id == 1: agent.light = True elif","debe moverse el automóvil, regresa la dirección # de la calle. def get_nextdirect(self,","regresa la dirección # de la calle. def get_nextdirect(self, position): for agent in","0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id","def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función","alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11","11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x =","a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type","cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir =","__init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para","dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type == 1: if","1 and col > 1 and col < height - 1: if row","position[0] < self.model.width and position[1] < self.model.height and position[0] >= 0 and position[1]","if agent.agent_type == 1: if agent.unique_id == 0: agent.light = False elif agent.unique_id","resultado de la función get_poss_cell(). #La siguiente celda del automóvil cambia al valor","for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar","in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if","-1) elif col >= width - 2 and col < width: agent.direction =","self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a","self.light = not self.light #Función para contar el número de automóviles que hay","super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para cambiar la luz","0: counter += 1 return counter #Clase para crear a los agentes calle.","variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1]","para crear el modelo. class CarModel(Model): def __init__(self, N: int, width: int, height:","para checar si hay otro automovil enfrente, regresa un valor booleano. def check_car(self):","y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell)","= height street_pos = [] self.lights = 4 #Loop para crear la parte","4 #Loop para crear la parte interior de las calles, donde está el","import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import","and row < height: if col < width - 2: agent.direction = (-1,","si la siguiente celda es válida, se guarda en el automóvil y se","- 2: agent.direction = (-1, 0) else: agent.direction = (0, 1) else: flag","pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self)","añadir a los contadores la cantidad de automóviles que hay en cada lado.","lado. for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0:","posición es válida, en caso de que sea válida regresa True, en caso","#Función para validar si la posición es válida, en caso de que sea","semáforos. def change(self): self.light = not self.light #Función para contar el número de","< width - 2: agent.direction = (1, 0) else: agent.direction = (0, 1)","elif i == 2: x = 11 y = 9 alight.light = False","width - 2: agent.direction = (-1, 0) else: agent.direction = (0, 1) else:","cantidad de automóviles que hay en cada lado. for agent in self.schedule.agents: if","get_poss_cell(). #La siguiente celda del automóvil cambia al valor de la variable. else:","11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores","in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] -","True #Función para checar si hay otro automovil enfrente, regresa un valor booleano.","turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type","row < height - 2: if col < 2: agent.direction = (0, -1)","del lado derecho dan luz verde y los semáforos del lado #izquierdo dan","from mesa import Agent , Model from mesa.time import RandomActivation #Clase para crear","width // 2 - 2 and col < width // 2 + 1","model) self.direction = None self.agent_type = 2 #Clase para crear el modelo. class","= False else: agent.light = False #En caso contrario los semáforos del lado","elif agent.unique_id == 2: agent.light = False else: agent.light = False #En caso","return True #Función para checar si hay otro automovil enfrente, regresa un valor","la cantidad de automóviles que hay en cada lado. for agent in self.schedule.agents:","= False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los","agent.direction = (1, 0) else: agent.direction = (0, 1) elif row >= 2","get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para","= True elif agent.unique_id == 1: agent.light = True elif agent.unique_id == 2:","def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return","col > 1 and col < height - 1: if row >= height","izquierdo #dan luz verde y los semáforos del lado derecho dan luz roja.","== 2: return agent.direction #Función para dar vuelta, regresa la dirección de la","// 2 - 2 and col < width // 2 + 1 and","if agent.agent_type == 0: return False return True def step(self): #Variable para guardar","if row < 2: if col < width - 2: agent.direction = (1,","model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para crear el","i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0,","crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model)","+= 1 flag = True if row < 2: if col < width","step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left = 0 count_right","in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos)","1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos","= (0, 1) else: agent.direction = (0, -1) elif row > height //","include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2:","crear el modelo. class CarModel(Model): def __init__(self, N: int, width: int, height: int):","for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir","caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type ==","for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left","2 and col < width // 2 + 1 and col > 1","= 0 #Función para validar si la posición es válida, en caso de","return False #Función para recibir las posibles celdas a dónde moverse, regresa la","self) self.uids += 1 flag = True if col > width // 2","calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index","regresa la luz del semáforo en caso # de que el automóvil tenga","self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de la","and col < width // 2 + 1 and col > 1 and","(self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la dirección","otro automovil enfrente, regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell):","move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener","= 0 count_right = 0 #Loop para añadir a los contadores la cantidad","contrario una varible guarda el resultado de la función turn(). else: direction =","ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid","N: int, width: int, height: int): self.num_agents = N self.running = True self.grid","mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space","for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter","row < width - 1: if col > width // 2: agent.direction =","!= self.direction: return agent.direction return None #Función para revisar la luz de los","> width // 2: agent.direction = (-1, 0) else: agent.direction = (1, 0)","self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight =","frente, regresa el valor de la variable move que son coordenadas. def get_nextcell(self):","y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2:","que sea válida regresa True, en caso contrario #regresa False. def is_valid(self, position):","self.num_agents = N self.running = True self.grid = MultiGrid(width, height, False) self.schedule =","para guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si","and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función para","= street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i","in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa","agent.pos #Función para avanzar hacia el frente, regresa el valor de la variable","válida, se guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell):","next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos","self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el","regresa el contador con el número de automóviles. def count_cars(self): counter = 0","contador con el número de automóviles. def count_cars(self): counter = 0 neighborhood =","if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles celdas","row >= 2 and row < height - 2: if col < 2:","(0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row))","else: x = 11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y))","None self.direction = None self.agent_type = 0 #Función para validar si la posición","para crear los automóviles en posiciones random donde hay calle. for i in","número de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True)","caso # de que el automóvil tenga uno de vecino. En caso contrario","moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction !=","1 and col < height - 1: if row >= height // 2:","la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for",">= height // 2: agent.direction = (0, 1) else: agent.direction = (0, -1)","int, width: int, height: int): self.num_agents = N self.running = True self.grid =","__init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type =","de las calles, donde está el cruce. for row in range(height): for col","< height // 2 + 1 and row > 1 and row <","= False elif row >= height -2 and row < height: if col","self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def step(self): #Variable para","agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1","siguiente celda es válida, se guarda en el automóvil y se cambia su","+= agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado","a dónde moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood =","el automóvil tenga uno de vecino. En caso contrario regresa True. def check_light(self):","resultado de la función turn(). else: direction = self.turn() #Condición, si la variable","agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado izquierdo","__init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para","1) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop","for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index =","A01749381 <NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random from","direction: self.direction = direction #En caso contrario una variable guarda el resultado de","= 0 self.width = width self.height = height street_pos = [] self.lights =","self.pos[1] + self.direction[1]) return move #Función para obtener la dirección hacia donde debe","la posición es válida, en caso de que sea válida regresa True, en","el número de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False,","self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids,","height: if col < width - 2: agent.direction = (-1, 0) else: agent.direction","i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x =","y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11","donde está el cruce. for row in range(height): for col in range(width): agent","= False #En caso contrario los semáforos del lado derecho dan luz verde",">= width - 2 and col < width: agent.direction = (0, 1) else:","None self.agent_type = 0 #Función para validar si la posición es válida, en","(-1, 0) else: agent.direction = (0, 1) else: flag = False if flag:","más automóviles, los semáforos del lado izquierdo #dan luz verde y los semáforos","2: agent.direction = (-1, 0) else: agent.direction = (1, 0) else: flag =","válida, en caso de que sea válida regresa True, en caso contrario #regresa","get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in","False return True def step(self): #Variable para guardar el resultado de la función","i == 2: x = 11 y = 9 alight.light = False self.grid.place_agent(alight,","avanzar hacia el frente, regresa el valor de la variable move que son","hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1","0 count_right = 0 #Loop para añadir a los contadores la cantidad de","neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] -","luz del semáforo en caso # de que el automóvil tenga uno de","in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1","<NAME> A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization","= 9 if i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif","a los contadores la cantidad de automóviles que hay en cada lado. for","0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función","move que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] +","poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase","la función turn(). else: direction = self.turn() #Condición, si la variable direction es","las calles, donde NO está el cruce. for row in range(height): for col","__init__(self, N: int, width: int, height: int): self.num_agents = N self.running = True","self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a)","self.uids += 1 flag = True if col > width // 2 -","cambia la dirección del automóvil. if direction: self.direction = direction #En caso contrario","def __init__(self, N: int, width: int, height: int): self.num_agents = N self.running =","1) else: agent.direction = (0, -1) elif row > height // 2 -","número de automóviles que hay en un semáforo, # regresa el contador con","return None #Función para revisar la luz de los semáforos, regresa la luz","hay en cada lado. for agent in self.schedule.agents: if agent.agent_type == 1: if","height street_pos = [] self.lights = 4 #Loop para crear la parte interior","row > height // 2 - 2 and row < height // 2","== 1: return agent.light return True #Función para checar si hay otro automovil","model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type = 0 #Función","8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i ==","el frente, regresa el valor de la variable move que son coordenadas. def","self.light = False #Función para cambiar la luz de los semáforos. def change(self):","agent.light = True elif agent.unique_id == 1: agent.light = True elif agent.unique_id ==","False elif agent.unique_id == 1: agent.light = False elif agent.unique_id == 2: agent.light","#Función para dar vuelta, regresa la dirección de la calle. def turn(self): for","height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width =","agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None","and row < width - 1: if col > width // 2: agent.direction","agent.direction = (0, 1) else: flag = False elif row >= height -2","recibir las posibles celdas a dónde moverse, regresa la posición de la calle.","para obtener la dirección hacia donde debe moverse el automóvil, regresa la dirección","self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10 alight.light = False","if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en","random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner","agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa la dirección de","cambiar la luz de los semáforos. def change(self): self.light = not self.light #Función","la dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False):","= False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la","1: return agent.light return True #Función para checar si hay otro automovil enfrente,","#Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids +=","in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars()","< self.model.width and position[1] < self.model.height and position[0] >= 0 and position[1] >=","se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En","hay en un semáforo, # regresa el contador con el número de automóviles.","dan luz roja. if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type","al valor de la variable. else: poss = self.get_poss_cell() self.next_cell = poss if","está el cruce. for row in range(height): for col in range(width): agent =","crear los automóviles en posiciones random donde hay calle. for i in range(self.num_agents):","= (1, 0) else: agent.direction = (0, 1) elif row >= 2 and","position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return","2 - 2 and col < width // 2 + 1 and col","celdas a dónde moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood","pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for","model) self.next_cell = None self.direction = None self.agent_type = 0 #Función para validar","self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return None","= StreetAgent(self.uids, self) self.uids += 1 flag = True if row < 2:","las posibles celdas a dónde moverse, regresa la posición de la calle. def","width self.height = height street_pos = [] self.lights = 4 #Loop para crear","< width // 2 + 1 and col > 1 and col <","self.uids += 1 flag = True if row < 2: if col <","> 1 and row < width - 1: if col > width //","#Loop para añadir a los contadores la cantidad de automóviles que hay en","count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood:","#La siguiente celda del automóvil cambia al valor de la variable. else: poss","not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles celdas a","1 flag = True if row < 2: if col < width -","(0, 1) else: flag = False elif row >= height -2 and row","False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte","row < height // 2 + 1 and row > 1 and row","if direction: self.direction = direction #En caso contrario una variable guarda el resultado","0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1: x =","el lado izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan luz","self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width self.height","TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9 if","y los semáforos del lado derecho dan luz roja. if count_left >= count_right:","agent.direction = (0, 1) else: agent.direction = (0, -1) elif row > height","False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos tienen más","luz verde y los semáforos del lado derecho dan luz roja. if count_left","(1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row))","caso contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width and position[1]","luz roja. if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type ==","9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11 y =",">= 2 and row < height - 2: if col < 2: agent.direction","automóviles. count_left = 0 count_right = 0 #Loop para añadir a los contadores","elif row >= 2 and row < height - 2: if col <","== 1: if agent.unique_id == 0: agent.light = False elif agent.unique_id == 1:","Model from mesa.time import RandomActivation #Clase para crear a los agentes automóviles class","BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import Agent","el resultado de la función turn(). else: direction = self.turn() #Condición, si la","class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light =","1 and row > 1 and row < width - 1: if col","row)) #Loop para crear la parte exterior de las calles, donde NO está","self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función para checar si","A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules import","(col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random donde","import Agent , Model from mesa.time import RandomActivation #Clase para crear a los","1: if agent.unique_id == 0: agent.light = False elif agent.unique_id == 1: agent.light","= 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2: x","None self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model): def __init__(self,","CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector","el número de automóviles que hay en un semáforo, # regresa el contador","self.lights_ids = 0 self.width = width self.height = height street_pos = [] self.lights","elif i == 1: x = 8 y = 10 alight.light = True","la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2:","valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return","+= 1 self.schedule.add(alight) x = 8 y = 9 if i == 0:","model) self.agent_type = 1 self.light = False #Función para cambiar la luz de","para dar vuelta, regresa la dirección de la calle. def turn(self): for cell","direction #En caso contrario una variable guarda el resultado de la función get_poss_cell().","la variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light():","de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es","cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso","elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene","para revisar la luz de los semáforos, regresa la luz del semáforo en","if col > width // 2 - 2 and col < width //","cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2:","automóvil tenga uno de vecino. En caso contrario regresa True. def check_light(self): for","para saber cuáles semáforos tienen más automóviles. count_left = 0 count_right = 0","del lado derecho dan luz roja. if count_left >= count_right: for agent in","== 2: agent.light = False else: agent.light = False #En caso contrario los","class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction =","self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar hacia","position): if position[0] < self.model.width and position[1] < self.model.height and position[0] >= 0","Agent , Model from mesa.time import RandomActivation #Clase para crear a los agentes","if row >= height // 2: agent.direction = (0, 1) else: agent.direction =","self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa la","es verdadera se cambia la dirección del automóvil. if direction: self.direction = direction","con el número de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos,","if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if","= [] self.lights = 4 #Loop para crear la parte interior de las","agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if col >","posibles celdas a dónde moverse, regresa la posición de la calle. def get_poss_cell(self):","= self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de la función","posiciones random donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self)","moverse el automóvil, regresa la dirección # de la calle. def get_nextdirect(self, position):","la parte interior de las calles, donde está el cruce. for row in","parte exterior de las calles, donde NO está el cruce. for row in","contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1:","en caso de que sea válida regresa True, en caso contrario #regresa False.","mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa","la variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0],","def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return","celda del automóvil cambia al valor de la variable. else: poss = self.get_poss_cell()","for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x","def change(self): self.light = not self.light #Función para contar el número de automóviles","False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles","for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light","= (0, -1) elif col >= width - 2 and col < width:","if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if","next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda en","alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos","regresa el valor de la variable move que son coordenadas. def get_nextcell(self): move","self.direction = None self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model):","<NAME> A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid","y)) elif i == 1: x = 8 y = 10 alight.light =","mesa.time import RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent): def","valor de la variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0]","agent.light = False elif agent.unique_id == 2: agent.light = True else: agent.light =","caso contrario una variable guarda el resultado de la función get_poss_cell(). #La siguiente","agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if row <","i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1:","#Función para revisar la luz de los semáforos, regresa la luz del semáforo","if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return","1 self.light = False #Función para cambiar la luz de los semáforos. def","MultiGrid from mesa import Agent , Model from mesa.time import RandomActivation #Clase para","< height: if col < width - 2: agent.direction = (-1, 0) else:","= width self.height = height street_pos = [] self.lights = 4 #Loop para","para avanzar hacia el frente, regresa el valor de la variable move que","automóviles que hay en cada lado. for agent in self.schedule.agents: if agent.agent_type ==","from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from","cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter +=","and row < height - 2: if col < 2: agent.direction = (0,","== 1: x = 8 y = 10 alight.light = True self.grid.place_agent(alight, (x,","= self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para","el cruce. for row in range(height): for col in range(width): agent = StreetAgent(self.uids,","self.width = width self.height = height street_pos = [] self.lights = 4 #Loop","2: agent.direction = (0, -1) elif col >= width - 2 and col","* -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función","-1 != self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa el","sea válida regresa True, en caso contrario #regresa False. def is_valid(self, position): if","= 4 #Loop para crear la parte interior de las calles, donde está","== 0: return False return True def step(self): #Variable para guardar el resultado","los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction =","mesa.space import MultiGrid from mesa import Agent , Model from mesa.time import RandomActivation","= direction #En caso contrario una variable guarda el resultado de la función","self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = False elif","10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles","True def step(self): #Variable para guardar el resultado de la función get_nextcell(). next_cell","automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction =","agent.direction = (0, -1) elif col >= width - 2 and col <","tienen más automóviles. count_left = 0 count_right = 0 #Loop para añadir a","return agent.pos #Función para avanzar hacia el frente, regresa el valor de la","contar el número de automóviles que hay en un semáforo, # regresa el","self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = True elif","from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from","luz verde y los semáforos del lado #izquierdo dan luz roja. else: for","revisar la luz de los semáforos, regresa la luz del semáforo en caso","a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights):","> height // 2 - 2 and row < height // 2 +","moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type ==","= True self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11 y","A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid from","agent.unique_id == 1: agent.light = True elif agent.unique_id == 2: agent.light = False","self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids","agent.direction = (-1, 0) else: agent.direction = (1, 0) else: flag = False","position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir","range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) -","= (0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col,","coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move","= self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda en el","la luz del semáforo en caso # de que el automóvil tenga uno","de las calles, donde NO está el cruce. for row in range(height): for","= 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber","self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type","regresa la dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False,","2: agent.light = False else: agent.light = False #En caso contrario los semáforos","que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1])","= True self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8 y","direction = self.turn() #Condición, si la variable direction es verdadera se cambia la","se cambia la dirección del automóvil. if direction: self.direction = direction #En caso","los semáforos, regresa la luz del semáforo en caso # de que el","agent.agent_type == 0: return False return True def step(self): #Variable para guardar el","if agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id","1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left","return True def step(self): #Variable para guardar el resultado de la función get_nextcell().","de que sea válida regresa True, en caso contrario #regresa False. def is_valid(self,","semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight)","col < height - 1: if row >= height // 2: agent.direction =","#Condición, si la variable direction es verdadera se cambia la dirección del automóvil.","= None self.direction = None self.agent_type = 0 #Función para validar si la","self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self,","mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection","random donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids","semáforo en caso # de que el automóvil tenga uno de vecino. En","next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de","0) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop","in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = False","la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in","i == 1: x = 8 y = 10 alight.light = True self.grid.place_agent(alight,","crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model)","3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los","return agent.direction #Función para dar vuelta, regresa la dirección de la calle. def","and col < height - 1: if row >= height // 2: agent.direction","el automóvil, regresa la dirección # de la calle. def get_nextdirect(self, position): for","agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función para","#izquierdo dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type == 1:","= (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la","neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell):","check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True","si la posición es válida, en caso de que sea válida regresa True,","width: agent.direction = (0, 1) else: flag = False elif row >= height","de la función turn(). else: direction = self.turn() #Condición, si la variable direction","self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9 if i","#Función para cambiar la luz de los semáforos. def change(self): self.light = not","int): self.num_agents = N self.running = True self.grid = MultiGrid(width, height, False) self.schedule","if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left +=","count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los semáforos","dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una","= True if row < 2: if col < width - 2: agent.direction","#Loop para crear la parte interior de las calles, donde está el cruce.","la variable direction es verdadera se cambia la dirección del automóvil. if direction:","semáforos del lado derecho dan luz verde y los semáforos del lado #izquierdo","if col < width - 2: agent.direction = (-1, 0) else: agent.direction =","= N self.running = True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self)","= (-1, 0) else: agent.direction = (1, 0) else: flag = False if","2 #Clase para crear el modelo. class CarModel(Model): def __init__(self, N: int, width:","(0, -1) elif col >= width - 2 and col < width: agent.direction","<NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules","next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar hacia el frente,","una varible guarda el resultado de la función turn(). else: direction = self.turn()","agent.agent_type == 0: counter += 1 return counter #Clase para crear a los","1 flag = True if col > width // 2 - 2 and","-1) elif row > height // 2 - 2 and row < height","= False elif agent.unique_id == 2: agent.light = True else: agent.light = True","CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents = N self.running","2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1"],"string":"[\n \"== 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] *\",\n \"obtener la dirección hacia donde debe moverse el automóvil, regresa la dirección #\",\n \"guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell =\",\n \"col < width - 2: agent.direction = (-1, 0) else: agent.direction = (0,\",\n \"a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell\",\n \"y los semáforos del lado #izquierdo dan luz roja. else: for agent in\",\n \"para validar si la posición es válida, en caso de que sea válida\",\n \">= height -2 and row < height: if col < width - 2:\",\n \"0: if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles\",\n \"agent.light return True #Función para checar si hay otro automovil enfrente, regresa un\",\n \"semáforos del lado #izquierdo dan luz roja. else: for agent in self.schedule.agents: if\",\n \"width // 2: agent.direction = (-1, 0) else: agent.direction = (1, 0) else:\",\n \"= 8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i\",\n \"from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from\",\n \"calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for\",\n \"return counter #Clase para crear a los agentes calle. class StreetAgent(Agent): def __init__(self,\",\n \"x = 8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif\",\n \"// 2 + 1 and row > 1 and row < width -\",\n \"if col < 2: agent.direction = (0, -1) elif col >= width -\",\n \"contrario los semáforos del lado derecho dan luz verde y los semáforos del\",\n \"counter += 1 return counter #Clase para crear a los agentes calle. class\",\n \"la dirección # de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position):\",\n \"position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para\",\n \"uno de vecino. En caso contrario regresa True. def check_light(self): for agent in\",\n \"variable guarda el resultado de la función get_poss_cell(). #La siguiente celda del automóvil\",\n \"import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import\",\n \"semáforos tienen más automóviles. count_left = 0 count_right = 0 #Loop para añadir\",\n \"self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior de las\",\n \"para crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id,\",\n \"en caso # de que el automóvil tenga uno de vecino. En caso\",\n \"regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return\",\n \"el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction\",\n \"1: if col > width // 2: agent.direction = (-1, 0) else: agent.direction\",\n \"False elif row >= height -2 and row < height: if col <\",\n \"(x, y)) elif i == 1: x = 8 y = 10 alight.light\",\n \"el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente\",\n \"calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type\",\n \"== 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif\",\n \"agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right\",\n \"col < width: agent.direction = (0, 1) else: flag = False elif row\",\n \"else: agent.direction = (1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col,\",\n \"model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para cambiar la\",\n \"automóviles, los semáforos del lado izquierdo #dan luz verde y los semáforos del\",\n \"verdadera se cambia la dirección del automóvil. if direction: self.direction = direction #En\",\n \">= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las\",\n \"del semáforo en caso # de que el automóvil tenga uno de vecino.\",\n \"and row < height // 2 + 1 and row > 1 and\",\n \"else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell)\",\n \"self.light #Función para contar el número de automóviles que hay en un semáforo,\",\n \"del automóvil cambia al valor de la variable. else: poss = self.get_poss_cell() self.next_cell\",\n \"if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return None #Función\",\n \"las calles, donde está el cruce. for row in range(height): for col in\",\n \"el contador con el número de automóviles. def count_cars(self): counter = 0 neighborhood\",\n \"resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda\",\n \"roja. else: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id ==\",\n \"elif row > height // 2 - 2 and row < height //\",\n \"#Condición, si el lado izquierdo tiene más automóviles, los semáforos del lado izquierdo\",\n \"de la variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0] +\",\n \"for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter\",\n \"= (0, 1) else: flag = False elif row >= height -2 and\",\n \"= StreetAgent(self.uids, self) self.uids += 1 flag = True if col > width\",\n \"self.direction: return agent.direction return None #Función para revisar la luz de los semáforos,\",\n \"para crear la parte exterior de las calles, donde NO está el cruce.\",\n \"= RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width self.height =\",\n \"dirección # de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if\",\n \"< 2: agent.direction = (0, -1) elif col >= width - 2 and\",\n \"import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import\",\n \"#Función para avanzar hacia el frente, regresa el valor de la variable move\",\n \"self.model.width and position[1] < self.model.height and position[0] >= 0 and position[1] >= 0:\",\n \"in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0]\",\n \"= 8 y = 9 if i == 0: alight.light = True self.grid.place_agent(alight,\",\n \"roja. if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type == 1:\",\n \"su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario\",\n \"True, en caso contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width\",\n \"flag = False elif row >= height -2 and row < height: if\",\n \"de los semáforos, regresa la luz del semáforo en caso # de que\",\n \"== 1: if agent.unique_id == 0: agent.light = True elif agent.unique_id == 1:\",\n \"count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el\",\n \"street_pos.append((col, row)) #Loop para crear la parte exterior de las calles, donde NO\",\n \"agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars()\",\n \"= True elif agent.unique_id == 2: agent.light = False else: agent.light = False\",\n \"2: if agent.direction != self.direction: return agent.direction return None #Función para revisar la\",\n \"import DataCollector from mesa.space import MultiGrid from mesa import Agent , Model from\",\n \"en caso contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width and\",\n \"[] self.lights = 4 #Loop para crear la parte interior de las calles,\",\n \"self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction\",\n \"más automóviles. count_left = 0 count_right = 0 #Loop para añadir a los\",\n \"False else: agent.light = False #En caso contrario los semáforos del lado derecho\",\n \"#En caso contrario una variable guarda el resultado de la función get_poss_cell(). #La\",\n \"count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id ==\",\n \"# regresa el contador con el número de automóviles. def count_cars(self): counter =\",\n \"count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id\",\n \"self.turn() #Condición, si la variable direction es verdadera se cambia la dirección del\",\n \"elif agent.unique_id == 1: agent.light = True elif agent.unique_id == 2: agent.light =\",\n \"1 return counter #Clase para crear a los agentes calle. class StreetAgent(Agent): def\",\n \"street_pos = [] self.lights = 4 #Loop para crear la parte interior de\",\n \"agent.agent_type == 1: if agent.unique_id == 0: agent.light = False elif agent.unique_id ==\",\n \"regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type ==\",\n \"self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda\",\n \"exterior de las calles, donde NO está el cruce. for row in range(height):\",\n \"and col < width: agent.direction = (0, 1) else: flag = False elif\",\n \"1 self.schedule.add(alight) x = 8 y = 9 if i == 0: alight.light\",\n \"for col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag =\",\n \"self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def\",\n \"False #En caso contrario los semáforos del lado derecho dan luz verde y\",\n \"alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10\",\n \"self.height = height street_pos = [] self.lights = 4 #Loop para crear la\",\n \"2 and row < height // 2 + 1 and row > 1\",\n \"0 #Función para validar si la posición es válida, en caso de que\",\n \"y = 9 if i == 0: alight.light = True self.grid.place_agent(alight, (x, y))\",\n \"1: if agent.unique_id == 0: agent.light = True elif agent.unique_id == 1: agent.light\",\n \"row)) #Loop para crear los automóviles en posiciones random donde hay calle. for\",\n \"if agent.direction != self.direction: return agent.direction return None #Función para revisar la luz\",\n \"hay otro automovil enfrente, regresa un valor booleano. def check_car(self): for agent in\",\n \"= TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9\",\n \"< height - 1: if row >= height // 2: agent.direction = (0,\",\n \"cruce. for row in range(height): for col in range(width): agent = StreetAgent(self.uids, self)\",\n \"de automóviles que hay en un semáforo, # regresa el contador con el\",\n \"int, height: int): self.num_agents = N self.running = True self.grid = MultiGrid(width, height,\",\n \"2 + 1 and row > 1 and row < width - 1:\",\n \"la dirección del automóvil. if direction: self.direction = direction #En caso contrario una\",\n \"#Función para recibir las posibles celdas a dónde moverse, regresa la posición de\",\n \"dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for\",\n \"= self.turn() #Condición, si la variable direction es verdadera se cambia la dirección\",\n \"True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids\",\n \"y)) def step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left =\",\n \"agent.unique_id == 0: agent.light = True elif agent.unique_id == 1: agent.light = True\",\n \"cada lado. for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id ==\",\n \"== 1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1:\",\n \"step(self): #Variable para guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell()\",\n \"2 and row < height - 2: if col < 2: agent.direction =\",\n \"agent.unique_id == 1: agent.light = False elif agent.unique_id == 2: agent.light = True\",\n \"in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter #Clase para\",\n \"StreetAgent(self.uids, self) self.uids += 1 flag = True if row < 2: if\",\n \"que hay en cada lado. for agent in self.schedule.agents: if agent.agent_type == 1:\",\n \"una variable guarda el resultado de la función get_poss_cell(). #La siguiente celda del\",\n \"la dirección hacia donde debe moverse el automóvil, regresa la dirección # de\",\n \"and col > 1 and col < height - 1: if row >=\",\n \"1 and row < width - 1: if col > width // 2:\",\n \"!= self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa el valor\",\n \"== 1: agent.light = False elif agent.unique_id == 2: agent.light = True else:\",\n \"self.schedule.add(alight) x = 8 y = 9 if i == 0: alight.light =\",\n \"if col > width // 2: agent.direction = (-1, 0) else: agent.direction =\",\n \"0 self.lights_ids = 0 self.width = width self.height = height street_pos = []\",\n \"agent.light = False #En caso contrario los semáforos del lado derecho dan luz\",\n \"def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función\",\n \"True if row < 2: if col < width - 2: agent.direction =\",\n \"2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si\",\n \"!= self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar\",\n \"def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction\",\n \"alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y =\",\n \"automóvil cambia al valor de la variable. else: poss = self.get_poss_cell() self.next_cell =\",\n \"(x, y)) else: x = 11 y = 10 alight.light = False self.grid.place_agent(alight,\",\n \"row >= height -2 and row < height: if col < width -\",\n \"9 if i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i\",\n \"#Función para checar si hay otro automovil enfrente, regresa un valor booleano. def\",\n \"los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type =\",\n \"self.next_cell = None self.direction = None self.agent_type = 0 #Función para validar si\",\n \"from mesa.time import RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent):\",\n \"self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1])\",\n \"def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in\",\n \"#Función para contar el número de automóviles que hay en un semáforo, #\",\n \"== 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif\",\n \"pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a,\",\n \"col < width // 2 + 1 and col > 1 and col\",\n \"StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2\",\n \"caso de que sea válida regresa True, en caso contrario #regresa False. def\",\n \"calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell):\",\n \"include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0:\",\n \"para contar el número de automóviles que hay en un semáforo, # regresa\",\n \"siguiente celda del automóvil cambia al valor de la variable. else: poss =\",\n \"En caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type\",\n \"(self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and\",\n \"== 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición,\",\n \"1: agent.light = False elif agent.unique_id == 2: agent.light = True else: agent.light\",\n \"width - 2: agent.direction = (1, 0) else: agent.direction = (0, 1) elif\",\n \"True self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11 y =\",\n \"+ 1 and col > 1 and col < height - 1: if\",\n \"neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell):\",\n \"DataCollector from mesa.space import MultiGrid from mesa import Agent , Model from mesa.time\",\n \"// 2 - 2 and row < height // 2 + 1 and\",\n \"in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = True\",\n \"if position[0] < self.model.width and position[1] < self.model.height and position[0] >= 0 and\",\n \"row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random donde hay\",\n \"-2 and row < height: if col < width - 2: agent.direction =\",\n \"el valor de la variable move que son coordenadas. def get_nextcell(self): move =\",\n \"< self.model.height and position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position):\",\n \"caso contrario una varible guarda el resultado de la función turn(). else: direction\",\n \"super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para crear el modelo.\",\n \"2: x = 11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y))\",\n \"+ 1 and row > 1 and row < width - 1: if\",\n \"self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random\",\n \"luz de los semáforos. def change(self): self.light = not self.light #Función para contar\",\n \"True elif agent.unique_id == 2: agent.light = False else: agent.light = False #En\",\n \"semáforos del lado derecho dan luz roja. if count_left >= count_right: for agent\",\n \"tiene más automóviles, los semáforos del lado izquierdo #dan luz verde y los\",\n \"derecho dan luz verde y los semáforos del lado #izquierdo dan luz roja.\",\n \"else: agent.light = False #En caso contrario los semáforos del lado derecho dan\",\n \"self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1\",\n \"la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida,\",\n \"self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles celdas a dónde\",\n \"#Condición, si la siguiente celda es válida, se guarda en el automóvil y\",\n \"lado izquierdo #dan luz verde y los semáforos del lado derecho dan luz\",\n \"self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11 y = 9\",\n \"a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1)\",\n \"= False elif agent.unique_id == 1: agent.light = False elif agent.unique_id == 2:\",\n \"automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction\",\n \"CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None\",\n \"dar vuelta, regresa la dirección de la calle. def turn(self): for cell in\",\n \"valor de la variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car():\",\n \"0 #Loop para añadir a los contadores la cantidad de automóviles que hay\",\n \"varible guarda el resultado de la función turn(). else: direction = self.turn() #Condición,\",\n \"else: agent.direction = (0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col,\",\n \"los semáforos. def change(self): self.light = not self.light #Función para contar el número\",\n \"flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones\",\n \"variable direction es verdadera se cambia la dirección del automóvil. if direction: self.direction\",\n \"row in range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids +=\",\n \"agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más\",\n \"verde y los semáforos del lado #izquierdo dan luz roja. else: for agent\",\n \"= not self.light #Función para contar el número de automóviles que hay en\",\n \"donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids +=\",\n \"count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0:\",\n \"agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id ==\",\n \"< width: agent.direction = (0, 1) else: flag = False elif row >=\",\n \"crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model)\",\n \"agent.direction return None #Función para revisar la luz de los semáforos, regresa la\",\n \"elif agent.unique_id == 1: agent.light = False elif agent.unique_id == 2: agent.light =\",\n \"de automóviles que hay en cada lado. for agent in self.schedule.agents: if agent.agent_type\",\n \"return True return False #Función para recibir las posibles celdas a dónde moverse,\",\n \"if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior\",\n \"height - 1: if row >= height // 2: agent.direction = (0, 1)\",\n \"agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars()\",\n \"self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class\",\n \"los contadores la cantidad de automóviles que hay en cada lado. for agent\",\n \"= self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if\",\n \"height -2 and row < height: if col < width - 2: agent.direction\",\n \"de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent\",\n \"2 and col < width: agent.direction = (0, 1) else: flag = False\",\n \"verde y los semáforos del lado derecho dan luz roja. if count_left >=\",\n \"elif col >= width - 2 and col < width: agent.direction = (0,\",\n \"width // 2 + 1 and col > 1 and col < height\",\n \"counter #Clase para crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id,\",\n \"- 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los\",\n \"0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in\",\n \"True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light\",\n \"semáforo, # regresa el contador con el número de automóviles. def count_cars(self): counter\",\n \"los semáforos del lado derecho dan luz verde y los semáforos del lado\",\n \"poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes\",\n \"= None self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model): def\",\n \"self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids =\",\n \"count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id ==\",\n \"not self.light #Función para contar el número de automóviles que hay en un\",\n \"a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction\",\n \"neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return\",\n \"unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para cambiar\",\n \"col >= width - 2 and col < width: agent.direction = (0, 1)\",\n \"move #Función para obtener la dirección hacia donde debe moverse el automóvil, regresa\",\n \"validar si la posición es válida, en caso de que sea válida regresa\",\n \"N self.running = True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids\",\n \"None #Función para revisar la luz de los semáforos, regresa la luz del\",\n \"else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para\",\n \"contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width and position[1] <\",\n \"< height - 2: if col < 2: agent.direction = (0, -1) elif\",\n \"1: if row >= height // 2: agent.direction = (0, 1) else: agent.direction\",\n \"#Contadores para saber cuáles semáforos tienen más automóviles. count_left = 0 count_right =\",\n \"random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner\",\n \"(1, 0) else: agent.direction = (0, 1) elif row >= 2 and row\",\n \"NO está el cruce. for row in range(height): for col in range(width): agent\",\n \"== 3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles,\",\n \"la función get_poss_cell(). #La siguiente celda del automóvil cambia al valor de la\",\n \"len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear\",\n \"= True if col > width // 2 - 2 and col <\",\n \"agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction\",\n \"- 2 and row < height // 2 + 1 and row >\",\n \"agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] *\",\n \"for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función\",\n \"agent.direction = (1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col, row))\",\n \"caso contrario los semáforos del lado derecho dan luz verde y los semáforos\",\n \"False elif agent.unique_id == 2: agent.light = True else: agent.light = True self.schedule.step()\",\n \"== 2: if agent.direction != self.direction: return agent.direction return None #Función para revisar\",\n \"self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda en el automóvil\",\n \"luz de los semáforos, regresa la luz del semáforo en caso # de\",\n \"row > 1 and row < width - 1: if col > width\",\n \"agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None\",\n \"1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id\",\n \"del automóvil. if direction: self.direction = direction #En caso contrario una variable guarda\",\n \"de la función get_poss_cell(). #La siguiente celda del automóvil cambia al valor de\",\n \"para crear la parte interior de las calles, donde está el cruce. for\",\n \"variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self,\",\n \"lado izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan luz verde\",\n \"self) self.uids += 1 flag = True if row < 2: if col\",\n \"= next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado\",\n \"= 0 self.lights_ids = 0 self.width = width self.height = height street_pos =\",\n \"interior de las calles, donde está el cruce. for row in range(height): for\",\n \"flag = True if row < 2: if col < width - 2:\",\n \"agent.light = True elif agent.unique_id == 2: agent.light = False else: agent.light =\",\n \"agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0]\",\n \"semáforos del lado izquierdo #dan luz verde y los semáforos del lado derecho\",\n \"tenga uno de vecino. En caso contrario regresa True. def check_light(self): for agent\",\n \"- 2 and col < width: agent.direction = (0, 1) else: flag =\",\n \"in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función para checar\",\n \"if agent.agent_type == 1: return agent.light return True #Función para checar si hay\",\n \"se guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell\",\n \"True self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8 y =\",\n \"position[1] < self.model.height and position[0] >= 0 and position[1] >= 0: if not\",\n \"de los semáforos. def change(self): self.light = not self.light #Función para contar el\",\n \">= count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id ==\",\n \"función get_poss_cell(). #La siguiente celda del automóvil cambia al valor de la variable.\",\n \"import MultiGrid from mesa import Agent , Model from mesa.time import RandomActivation #Clase\",\n \"= 0 #Loop para añadir a los contadores la cantidad de automóviles que\",\n \"0) else: agent.direction = (0, 1) elif row >= 2 and row <\",\n \"if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos.\",\n \"> 1 and col < height - 1: if row >= height //\",\n \"else: flag = False elif row >= height -2 and row < height:\",\n \"de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in\",\n \"son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return\",\n \"un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0:\",\n \"col > width // 2: agent.direction = (-1, 0) else: agent.direction = (1,\",\n \"la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood:\",\n \"de que el automóvil tenga uno de vecino. En caso contrario regresa True.\",\n \"enfrente, regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type\",\n \"self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear\",\n \"un semáforo, # regresa el contador con el número de automóviles. def count_cars(self):\",\n \"for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type ==\",\n \"#En caso contrario los semáforos del lado derecho dan luz verde y los\",\n \"if agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa la dirección\",\n \"automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell\",\n \"self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index)\",\n \"guarda el resultado de la función get_poss_cell(). #La siguiente celda del automóvil cambia\",\n \"0: return False return True def step(self): #Variable para guardar el resultado de\",\n \"// 2: agent.direction = (0, 1) else: agent.direction = (0, -1) elif row\",\n \"0: agent.light = False elif agent.unique_id == 1: agent.light = False elif agent.unique_id\",\n \"check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True\",\n \"que hay en un semáforo, # regresa el contador con el número de\",\n \"10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2: x =\",\n \"agent.direction = (-1, 0) else: agent.direction = (0, 1) else: flag = False\",\n \"izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan luz verde y\",\n \"-1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para\",\n \"return agent.direction return None #Función para revisar la luz de los semáforos, regresa\",\n \"0) else: agent.direction = (0, 1) else: flag = False if flag: self.grid.place_agent(agent,\",\n \"del lado #izquierdo dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type\",\n \"range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if col\",\n \"else: agent.direction = (0, 1) elif row >= 2 and row < height\",\n \"semáforos, regresa la luz del semáforo en caso # de que el automóvil\",\n \"2 + 1 and col > 1 and col < height - 1:\",\n \"los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1\",\n \"#Variable para guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición,\",\n \"col > width // 2 - 2 and col < width // 2\",\n \"= None self.agent_type = 0 #Función para validar si la posición es válida,\",\n \"donde debe moverse el automóvil, regresa la dirección # de la calle. def\",\n \"and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar hacia el\",\n \"- 2 and col < width // 2 + 1 and col >\",\n \"def step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left = 0\",\n \"en cada lado. for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id\",\n \"= self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight\",\n \"import RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent): def __init__(self,\",\n \"col < 2: agent.direction = (0, -1) elif col >= width - 2\",\n \"+= 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction =\",\n \"count_right = 0 #Loop para añadir a los contadores la cantidad de automóviles\",\n \"= self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos)\",\n \"agent.light = False else: agent.light = False #En caso contrario los semáforos del\",\n \"(0, 1) elif row >= 2 and row < height - 2: if\",\n \"# de que el automóvil tenga uno de vecino. En caso contrario regresa\",\n \"False #Función para recibir las posibles celdas a dónde moverse, regresa la posición\",\n \"self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la dirección hacia donde\",\n \"#Loop para crear la parte exterior de las calles, donde NO está el\",\n \"return agent.light return True #Función para checar si hay otro automovil enfrente, regresa\",\n \"unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para crear\",\n \"False self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10 alight.light =\",\n \"next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 !=\",\n \"def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type\",\n \"de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for\",\n \"width - 2 and col < width: agent.direction = (0, 1) else: flag\",\n \"def is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height and position[0]\",\n \"#Clase para crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model):\",\n \"x = 11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def\",\n \"agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return None #Función para\",\n \"for row in range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids\",\n \"2: if col < 2: agent.direction = (0, -1) elif col >= width\",\n \"agent.direction = (0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col, row))\",\n \"cambia al valor de la variable. else: poss = self.get_poss_cell() self.next_cell = poss\",\n \"+ self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la dirección hacia\",\n \"la siguiente celda es válida, se guarda en el automóvil y se cambia\",\n \"agent.direction != self.direction: return agent.direction return None #Función para revisar la luz de\",\n \"// 2: agent.direction = (-1, 0) else: agent.direction = (1, 0) else: flag\",\n \"= MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0\",\n \"height - 2: if col < 2: agent.direction = (0, -1) elif col\",\n \"agent.agent_type == 1: if agent.unique_id == 0: agent.light = True elif agent.unique_id ==\",\n \"los semáforos del lado derecho dan luz roja. if count_left >= count_right: for\",\n \"regresa True, en caso contrario #regresa False. def is_valid(self, position): if position[0] <\",\n \"= poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los\",\n \"del lado izquierdo #dan luz verde y los semáforos del lado derecho dan\",\n \"#dan luz verde y los semáforos del lado derecho dan luz roja. if\",\n \"= (0, 1) elif row >= 2 and row < height - 2:\",\n \"en posiciones random donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids,\",\n \"calles, donde está el cruce. for row in range(height): for col in range(width):\",\n \"= 11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x\",\n \"col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True\",\n \"(0, -1) elif row > height // 2 - 2 and row <\",\n \">= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False\",\n \"contadores la cantidad de automóviles que hay en cada lado. for agent in\",\n \"* -1 != self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa\",\n \"self.model.height and position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return\",\n \"''' from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer\",\n \"modelo. class CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents =\",\n \"// 2 + 1 and col > 1 and col < height -\",\n \"+= agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3:\",\n \"self.running = True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids =\",\n \"1: x = 8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y))\",\n \"RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id,\",\n \"(x, y)) def step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left\",\n \"elif row >= height -2 and row < height: if col < width\",\n \"def step(self): #Variable para guardar el resultado de la función get_nextcell(). next_cell =\",\n \"x = 11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else:\",\n \"+= 1 flag = True if col > width // 2 - 2\",\n \"función turn(). else: direction = self.turn() #Condición, si la variable direction es verdadera\",\n \"elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right +=\",\n \"import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import\",\n \"False. def is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height and\",\n \"de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type ==\",\n \"= CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos\",\n \"x = 8 y = 9 if i == 0: alight.light = True\",\n \"agent.direction = (0, -1) elif row > height // 2 - 2 and\",\n \"width - 1: if col > width // 2: agent.direction = (-1, 0)\",\n \"self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id,\",\n \"self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars() elif\",\n \"self.direction = direction #En caso contrario una variable guarda el resultado de la\",\n \"crear la parte interior de las calles, donde está el cruce. for row\",\n \"get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función\",\n \"CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos =\",\n \"si hay otro automovil enfrente, regresa un valor booleano. def check_car(self): for agent\",\n \"= (1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col,\",\n \"if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent):\",\n \"0 self.width = width self.height = height street_pos = [] self.lights = 4\",\n \"2: agent.direction = (1, 0) else: agent.direction = (0, 1) elif row >=\",\n \"+= 1 return counter #Clase para crear a los agentes calle. class StreetAgent(Agent):\",\n \"agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left +=\",\n \"for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return\",\n \"height: int): self.num_agents = N self.running = True self.grid = MultiGrid(width, height, False)\",\n \"mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import Agent , Model\",\n \"in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8\",\n \"self.lights = 4 #Loop para crear la parte interior de las calles, donde\",\n \"8 y = 9 if i == 0: alight.light = True self.grid.place_agent(alight, (x,\",\n \"= True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0\",\n \"0: agent.light = True elif agent.unique_id == 1: agent.light = True elif agent.unique_id\",\n \"+= agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los semáforos del\",\n \"count_left = 0 count_right = 0 #Loop para añadir a los contadores la\",\n \"función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida, se\",\n \"self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model): def __init__(self, N:\",\n \"flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior de\",\n \"row)) street_pos.append((col, row)) #Loop para crear la parte exterior de las calles, donde\",\n \"#En caso contrario una varible guarda el resultado de la función turn(). else:\",\n \"(0, 1) else: agent.direction = (0, -1) elif row > height // 2\",\n \"counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for\",\n \"from mesa.space import MultiGrid from mesa import Agent , Model from mesa.time import\",\n \"# de la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type\",\n \"el modelo. class CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents\",\n \"self.direction[1]) return move #Función para obtener la dirección hacia donde debe moverse el\",\n \"in range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1\",\n \"y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para\",\n \"< 2: if col < width - 2: agent.direction = (1, 0) else:\",\n \"agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los semáforos del lado\",\n \"height // 2: agent.direction = (0, 1) else: agent.direction = (0, -1) elif\",\n \"vecino. En caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if\",\n \"agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light =\",\n \"A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import\",\n \"lado derecho dan luz verde y los semáforos del lado #izquierdo dan luz\",\n \"luz roja. else: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id\",\n \"automóvil, regresa la dirección # de la calle. def get_nextdirect(self, position): for agent\",\n \"checar si hay otro automovil enfrente, regresa un valor booleano. def check_car(self): for\",\n \"contrario una variable guarda el resultado de la función get_poss_cell(). #La siguiente celda\",\n \"MultiGrid(width, height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width\",\n \"para añadir a los contadores la cantidad de automóviles que hay en cada\",\n \"class CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents = N\",\n \"que el automóvil tenga uno de vecino. En caso contrario regresa True. def\",\n \"else: for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0:\",\n \"if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible\",\n \"agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def step(self):\",\n \"= 2 #Clase para crear el modelo. class CarModel(Model): def __init__(self, N: int,\",\n \"booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False\",\n \"if agent.unique_id == 0: agent.light = True elif agent.unique_id == 1: agent.light =\",\n \"True if col > width // 2 - 2 and col < width\",\n \"+= agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2:\",\n \"= False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos tienen\",\n \"- 1: if col > width // 2: agent.direction = (-1, 0) else:\",\n \"< width - 2: agent.direction = (-1, 0) else: agent.direction = (0, 1)\",\n \"los semáforos del lado #izquierdo dan luz roja. else: for agent in self.schedule.agents:\",\n \"dónde moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos,\",\n \"in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return\",\n \"es válida, en caso de que sea válida regresa True, en caso contrario\",\n \"self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type\",\n \"mesa import Agent , Model from mesa.time import RandomActivation #Clase para crear a\",\n \"flag = True if col > width // 2 - 2 and col\",\n \"automóviles en posiciones random donde hay calle. for i in range(self.num_agents): a =\",\n \"return False return True def step(self): #Variable para guardar el resultado de la\",\n \"#regresa False. def is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height\",\n \"2: agent.direction = (-1, 0) else: agent.direction = (0, 1) else: flag =\",\n \"self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos tienen más automóviles.\",\n \"#Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model):\",\n \"vuelta, regresa la dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos,\",\n \"agent.unique_id == 0: agent.light = False elif agent.unique_id == 1: agent.light = False\",\n \"para cambiar la luz de los semáforos. def change(self): self.light = not self.light\",\n \", Model from mesa.time import RandomActivation #Clase para crear a los agentes automóviles\",\n \"regresa la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False)\",\n \"es válida, se guarda en el automóvil y se cambia su dirección. if\",\n \"parte interior de las calles, donde está el cruce. for row in range(height):\",\n \"= 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood: for agent\",\n \"> width // 2 - 2 and col < width // 2 +\",\n \"automóvil. if direction: self.direction = direction #En caso contrario una variable guarda el\",\n \"self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa el valor de\",\n \"agent.agent_type == 1: return agent.light return True #Función para checar si hay otro\",\n \"TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False\",\n \"0) else: agent.direction = (1, 0) else: flag = False if flag: self.grid.place_agent(agent,\",\n \"- agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1]\",\n \"automóviles que hay en un semáforo, # regresa el contador con el número\",\n \"la parte exterior de las calles, donde NO está el cruce. for row\",\n \"- 2: agent.direction = (1, 0) else: agent.direction = (0, 1) elif row\",\n \"agent.direction = (0, 1) elif row >= 2 and row < height -\",\n \"(x, y)) elif i == 2: x = 11 y = 9 alight.light\",\n \"Autores:<NAME> A01749381 <NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random\",\n \"if i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i ==\",\n \"self.direction = None self.agent_type = 0 #Función para validar si la posición es\",\n \"1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction\",\n \"self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter #Clase para crear\",\n \"street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in\",\n \"self.agent_type = 1 self.light = False #Función para cambiar la luz de los\",\n \"self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9 if i ==\",\n \"agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars()\",\n \"de vecino. En caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell):\",\n \"- 2: if col < 2: agent.direction = (0, -1) elif col >=\",\n \"de la variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if\",\n \"= 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11 y\",\n \"False #Función para cambiar la luz de los semáforos. def change(self): self.light =\",\n \"2 - 2 and row < height // 2 + 1 and row\",\n \"turn(). else: direction = self.turn() #Condición, si la variable direction es verdadera se\",\n \"== 1: agent.light = True elif agent.unique_id == 2: agent.light = False else:\",\n \"else: agent.direction = (0, -1) elif row > height // 2 - 2\",\n \"+ self.direction[1]) return move #Función para obtener la dirección hacia donde debe moverse\",\n \"include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction:\",\n \"RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width self.height = height\",\n \"get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda\",\n \"la luz de los semáforos. def change(self): self.light = not self.light #Función para\",\n \"= self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if\",\n \"== 0: counter += 1 return counter #Clase para crear a los agentes\",\n \"and position[1] < self.model.height and position[0] >= 0 and position[1] >= 0: if\",\n \"crear la parte exterior de las calles, donde NO está el cruce. for\",\n \"self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de la función turn().\",\n \"unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type = 0\",\n \"para crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id,\",\n \"1) else: flag = False elif row >= height -2 and row <\",\n \"= 11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self):\",\n \"dan luz verde y los semáforos del lado #izquierdo dan luz roja. else:\",\n \"range(height): for col in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag\",\n \"para recibir las posibles celdas a dónde moverse, regresa la posición de la\",\n \"los semáforos del lado izquierdo #dan luz verde y los semáforos del lado\",\n \"if col < width - 2: agent.direction = (1, 0) else: agent.direction =\",\n \"= 1 self.light = False #Función para cambiar la luz de los semáforos.\",\n \"StreetAgent(self.uids, self) self.uids += 1 flag = True if col > width //\",\n \"and row > 1 and row < width - 1: if col >\",\n \"height // 2 + 1 and row > 1 and row < width\",\n \"row < height: if col < width - 2: agent.direction = (-1, 0)\",\n \"posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell\",\n \"in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if\",\n \"= False self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10 alight.light\",\n \"for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def\",\n \"#Clase para crear el modelo. class CarModel(Model): def __init__(self, N: int, width: int,\",\n \"= False #Función para cambiar la luz de los semáforos. def change(self): self.light\",\n \"semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light\",\n \"dirección del automóvil. if direction: self.direction = direction #En caso contrario una variable\",\n \"calles, donde NO está el cruce. for row in range(height): for col in\",\n \"moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False,\",\n \"calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return\",\n \"width: int, height: int): self.num_agents = N self.running = True self.grid = MultiGrid(width,\",\n \"from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import Agent ,\",\n \"= (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1 != self.direction[0]\",\n \"return move #Función para obtener la dirección hacia donde debe moverse el automóvil,\",\n \"en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell\",\n \"else: direction = self.turn() #Condición, si la variable direction es verdadera se cambia\",\n \"change(self): self.light = not self.light #Función para contar el número de automóviles que\",\n \"< width - 1: if col > width // 2: agent.direction = (-1,\",\n \"(col, row)) street_pos.append((col, row)) #Loop para crear la parte exterior de las calles,\",\n \"= (-1, 0) else: agent.direction = (0, 1) else: flag = False if\",\n \"street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random donde hay calle.\",\n \"#Loop para crear los automóviles en posiciones random donde hay calle. for i\",\n \"self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8 y = 10\",\n \"si el lado izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan\",\n \"agent.count_cars() elif agent.unique_id == 2: count_right += agent.count_cars() elif agent.unique_id == 3: count_right\",\n \"def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if\",\n \"is_valid(self, position): if position[0] < self.model.width and position[1] < self.model.height and position[0] >=\",\n \"agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1 return counter #Clase\",\n \"alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8\",\n \"agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar vuelta,\",\n \"''' Autores:<NAME> A01749381 <NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import\",\n \"automovil enfrente, regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if\",\n \"False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width\",\n \"derecho dan luz roja. if count_left >= count_right: for agent in self.schedule.agents: if\",\n \"donde NO está el cruce. for row in range(height): for col in range(width):\",\n \"row >= height // 2: agent.direction = (0, 1) else: agent.direction = (0,\",\n \"from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from\",\n \"2: agent.direction = (0, 1) else: agent.direction = (0, -1) elif row >\",\n \"agent.light = False elif agent.unique_id == 1: agent.light = False elif agent.unique_id ==\",\n \"y)) elif i == 2: x = 11 y = 9 alight.light =\",\n \"y)) else: x = 11 y = 10 alight.light = False self.grid.place_agent(alight, (x,\",\n \"== 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1: x\",\n \"hacia donde debe moverse el automóvil, regresa la dirección # de la calle.\",\n \"== 2: x = 11 y = 9 alight.light = False self.grid.place_agent(alight, (x,\",\n \"self.agent_type = 0 #Función para validar si la posición es válida, en caso\",\n \"guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la\",\n \"en un semáforo, # regresa el contador con el número de automóviles. def\",\n \"range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if row\",\n \"saber cuáles semáforos tienen más automóviles. count_left = 0 count_right = 0 #Loop\",\n \"self.uids = 0 self.lights_ids = 0 self.width = width self.height = height street_pos\",\n \"cuáles semáforos tienen más automóviles. count_left = 0 count_right = 0 #Loop para\",\n \"super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type = 0 #Función para\",\n \"height // 2 - 2 and row < height // 2 + 1\",\n \"= (0, -1) elif row > height // 2 - 2 and row\",\n \"flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear\",\n \"los automóviles en posiciones random donde hay calle. for i in range(self.num_agents): a\",\n \"agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1]\",\n \"agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]:\",\n \"True return False #Función para recibir las posibles celdas a dónde moverse, regresa\",\n \"moore=False, include_center=True) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type ==\",\n \"row < 2: if col < width - 2: agent.direction = (1, 0)\",\n \"True elif agent.unique_id == 1: agent.light = True elif agent.unique_id == 2: agent.light\",\n \"def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent\",\n \"el resultado de la función get_poss_cell(). #La siguiente celda del automóvil cambia al\",\n \"in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def step(self): #Variable\",\n \"#Clase para crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model):\",\n \"si la variable direction es verdadera se cambia la dirección del automóvil. if\",\n \"- agent.pos[1]) if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 !=\",\n \"class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type =\",\n \"2: if col < width - 2: agent.direction = (1, 0) else: agent.direction\",\n \"lado #izquierdo dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type ==\",\n \"lado derecho dan luz roja. if count_left >= count_right: for agent in self.schedule.agents:\",\n \"self.uids += 1 pos_index = self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction\",\n \"agent.direction #Función para dar vuelta, regresa la dirección de la calle. def turn(self):\",\n \"(-1, 0) else: agent.direction = (1, 0) else: flag = False if flag:\",\n \"if agent.agent_type == 1: if agent.unique_id == 0: agent.light = True elif agent.unique_id\",\n \"def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase\",\n \"dirección hacia donde debe moverse el automóvil, regresa la dirección # de la\",\n \"direction es verdadera se cambia la dirección del automóvil. if direction: self.direction =\",\n \"agent.unique_id == 2: agent.light = False else: agent.light = False #En caso contrario\",\n \"#Función para obtener la dirección hacia donde debe moverse el automóvil, regresa la\",\n \"elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id == 2: count_right +=\",\n \"and position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True\",\n \"if agent.agent_type == 0: counter += 1 return counter #Clase para crear a\",\n \"válida regresa True, en caso contrario #regresa False. def is_valid(self, position): if position[0]\",\n \"celda es válida, se guarda en el automóvil y se cambia su dirección.\",\n \"for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0],\",\n \"- 1: if row >= height // 2: agent.direction = (0, 1) else:\",\n \"col < width - 2: agent.direction = (1, 0) else: agent.direction = (0,\",\n \"para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id,\",\n \"range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y\",\n \"guarda el resultado de la función turn(). else: direction = self.turn() #Condición, si\",\n \"1) elif row >= 2 and row < height - 2: if col\",\n \"== 0: agent.light = False elif agent.unique_id == 1: agent.light = False elif\",\n \"2: return agent.direction #Función para dar vuelta, regresa la dirección de la calle.\",\n \"los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell =\",\n \"if agent.unique_id == 0: agent.light = False elif agent.unique_id == 1: agent.light =\",\n \"1: agent.light = True elif agent.unique_id == 2: agent.light = False else: agent.light\",\n \"hacia el frente, regresa el valor de la variable move que son coordenadas.\",\n \"la luz de los semáforos, regresa la luz del semáforo en caso #\",\n \"== 0: agent.light = True elif agent.unique_id == 1: agent.light = True elif\",\n \"debe moverse el automóvil, regresa la dirección # de la calle. def get_nextdirect(self,\",\n \"regresa la dirección # de la calle. def get_nextdirect(self, position): for agent in\",\n \"0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left += agent.count_cars() elif agent.unique_id\",\n \"def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función\",\n \"alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11\",\n \"11 y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x =\",\n \"a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type\",\n \"cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir =\",\n \"__init__(self, unique_id, model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para\",\n \"dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type == 1: if\",\n \"1 and col > 1 and col < height - 1: if row\",\n \"position[0] < self.model.width and position[1] < self.model.height and position[0] >= 0 and position[1]\",\n \"if agent.agent_type == 1: if agent.unique_id == 0: agent.light = False elif agent.unique_id\",\n \"resultado de la función get_poss_cell(). #La siguiente celda del automóvil cambia al valor\",\n \"for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar\",\n \"in range(width): agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if\",\n \"-1) elif col >= width - 2 and col < width: agent.direction =\",\n \"self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para crear a\",\n \"self.light = not self.light #Función para contar el número de automóviles que hay\",\n \"super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para cambiar la luz\",\n \"0: counter += 1 return counter #Clase para crear a los agentes calle.\",\n \"variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1]\",\n \"para crear el modelo. class CarModel(Model): def __init__(self, N: int, width: int, height:\",\n \"para checar si hay otro automovil enfrente, regresa un valor booleano. def check_car(self):\",\n \"y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell)\",\n \"= height street_pos = [] self.lights = 4 #Loop para crear la parte\",\n \"4 #Loop para crear la parte interior de las calles, donde está el\",\n \"import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import\",\n \"and row < height: if col < width - 2: agent.direction = (-1,\",\n \"si la siguiente celda es válida, se guarda en el automóvil y se\",\n \"- 2: agent.direction = (-1, 0) else: agent.direction = (0, 1) else: flag\",\n \"pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self)\",\n \"añadir a los contadores la cantidad de automóviles que hay en cada lado.\",\n \"lado. for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0:\",\n \"posición es válida, en caso de que sea válida regresa True, en caso\",\n \"#Función para validar si la posición es válida, en caso de que sea\",\n \"semáforos. def change(self): self.light = not self.light #Función para contar el número de\",\n \"< width - 2: agent.direction = (1, 0) else: agent.direction = (0, 1)\",\n \"elif i == 2: x = 11 y = 9 alight.light = False\",\n \"width - 2: agent.direction = (-1, 0) else: agent.direction = (0, 1) else:\",\n \"cantidad de automóviles que hay en cada lado. for agent in self.schedule.agents: if\",\n \"get_poss_cell(). #La siguiente celda del automóvil cambia al valor de la variable. else:\",\n \"11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores\",\n \"in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] -\",\n \"True #Función para checar si hay otro automovil enfrente, regresa un valor booleano.\",\n \"turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type\",\n \"row < height - 2: if col < 2: agent.direction = (0, -1)\",\n \"del lado derecho dan luz verde y los semáforos del lado #izquierdo dan\",\n \"from mesa import Agent , Model from mesa.time import RandomActivation #Clase para crear\",\n \"width // 2 - 2 and col < width // 2 + 1\",\n \"model) self.direction = None self.agent_type = 2 #Clase para crear el modelo. class\",\n \"= False else: agent.light = False #En caso contrario los semáforos del lado\",\n \"elif agent.unique_id == 2: agent.light = False else: agent.light = False #En caso\",\n \"return True #Función para checar si hay otro automovil enfrente, regresa un valor\",\n \"la cantidad de automóviles que hay en cada lado. for agent in self.schedule.agents:\",\n \"= False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los\",\n \"agent.direction = (1, 0) else: agent.direction = (0, 1) elif row >= 2\",\n \"get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para\",\n \"= True elif agent.unique_id == 1: agent.light = True elif agent.unique_id == 2:\",\n \"def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return\",\n \"col > 1 and col < height - 1: if row >= height\",\n \"izquierdo #dan luz verde y los semáforos del lado derecho dan luz roja.\",\n \"== 2: return agent.direction #Función para dar vuelta, regresa la dirección de la\",\n \"// 2 - 2 and col < width // 2 + 1 and\",\n \"if agent.agent_type == 0: return False return True def step(self): #Variable para guardar\",\n \"if row < 2: if col < width - 2: agent.direction = (1,\",\n \"model): super().__init__(unique_id, model) self.direction = None self.agent_type = 2 #Clase para crear el\",\n \"i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0,\",\n \"crear a los agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model)\",\n \"+= 1 flag = True if row < 2: if col < width\",\n \"step(self): #Contadores para saber cuáles semáforos tienen más automóviles. count_left = 0 count_right\",\n \"in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos)\",\n \"1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos\",\n \"= (0, 1) else: agent.direction = (0, -1) elif row > height //\",\n \"include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2:\",\n \"crear el modelo. class CarModel(Model): def __init__(self, N: int, width: int, height: int):\",\n \"for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir\",\n \"caso contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type ==\",\n \"for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left\",\n \"2 and col < width // 2 + 1 and col > 1\",\n \"= 0 #Función para validar si la posición es válida, en caso de\",\n \"return False #Función para recibir las posibles celdas a dónde moverse, regresa la\",\n \"self) self.uids += 1 flag = True if col > width // 2\",\n \"calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index\",\n \"regresa la luz del semáforo en caso # de que el automóvil tenga\",\n \"self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de la\",\n \"and col < width // 2 + 1 and col > 1 and\",\n \"(self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la dirección\",\n \"otro automovil enfrente, regresa un valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell):\",\n \"move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener\",\n \"= 0 count_right = 0 #Loop para añadir a los contadores la cantidad\",\n \"contrario una varible guarda el resultado de la función turn(). else: direction =\",\n \"ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid\",\n \"N: int, width: int, height: int): self.num_agents = N self.running = True self.grid\",\n \"mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space\",\n \"for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter\",\n \"row < width - 1: if col > width // 2: agent.direction =\",\n \"!= self.direction: return agent.direction return None #Función para revisar la luz de los\",\n \"> width // 2: agent.direction = (-1, 0) else: agent.direction = (1, 0)\",\n \"self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight =\",\n \"frente, regresa el valor de la variable move que son coordenadas. def get_nextcell(self):\",\n \"y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2:\",\n \"que sea válida regresa True, en caso contrario #regresa False. def is_valid(self, position):\",\n \"self.num_agents = N self.running = True self.grid = MultiGrid(width, height, False) self.schedule =\",\n \"para guardar el resultado de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si\",\n \"and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función para\",\n \"= street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i\",\n \"in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa\",\n \"agent.pos #Función para avanzar hacia el frente, regresa el valor de la variable\",\n \"válida, se guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell):\",\n \"next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos\",\n \"self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el\",\n \"regresa el contador con el número de automóviles. def count_cars(self): counter = 0\",\n \"contador con el número de automóviles. def count_cars(self): counter = 0 neighborhood =\",\n \"if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles celdas\",\n \"row >= 2 and row < height - 2: if col < 2:\",\n \"(0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row))\",\n \"else: x = 11 y = 10 alight.light = False self.grid.place_agent(alight, (x, y))\",\n \"None self.direction = None self.agent_type = 0 #Función para validar si la posición\",\n \"para crear los automóviles en posiciones random donde hay calle. for i in\",\n \"número de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True)\",\n \"caso # de que el automóvil tenga uno de vecino. En caso contrario\",\n \"moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction !=\",\n \"1 and col < height - 1: if row >= height // 2:\",\n \"la posición de la calle. def get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for\",\n \">= height // 2: agent.direction = (0, 1) else: agent.direction = (0, -1)\",\n \"int, width: int, height: int): self.num_agents = N self.running = True self.grid =\",\n \"__init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type =\",\n \"de las calles, donde está el cruce. for row in range(height): for col\",\n \"< height // 2 + 1 and row > 1 and row <\",\n \"= False elif row >= height -2 and row < height: if col\",\n \"self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True def step(self): #Variable para\",\n \"agentes semáforos. class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1\",\n \"siguiente celda es válida, se guarda en el automóvil y se cambia su\",\n \"+= agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado\",\n \"a dónde moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood =\",\n \"el automóvil tenga uno de vecino. En caso contrario regresa True. def check_light(self):\",\n \"resultado de la función turn(). else: direction = self.turn() #Condición, si la variable\",\n \"agent.count_cars() elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado izquierdo\",\n \"__init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light = False #Función para\",\n \"1) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop\",\n \"for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index =\",\n \"A01749381 <NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random from\",\n \"direction: self.direction = direction #En caso contrario una variable guarda el resultado de\",\n \"= 0 self.width = width self.height = height street_pos = [] self.lights =\",\n \"self.pos[1] + self.direction[1]) return move #Función para obtener la dirección hacia donde debe\",\n \"la posición es válida, en caso de que sea válida regresa True, en\",\n \"el número de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False,\",\n \"self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids,\",\n \"height: if col < width - 2: agent.direction = (-1, 0) else: agent.direction\",\n \"i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x =\",\n \"y = 9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11\",\n \"donde está el cruce. for row in range(height): for col in range(width): agent\",\n \"= False #En caso contrario los semáforos del lado derecho dan luz verde\",\n \">= width - 2 and col < width: agent.direction = (0, 1) else:\",\n \"None self.agent_type = 0 #Función para validar si la posición es válida, en\",\n \"(-1, 0) else: agent.direction = (0, 1) else: flag = False if flag:\",\n \"más automóviles, los semáforos del lado izquierdo #dan luz verde y los semáforos\",\n \"2: agent.direction = (-1, 0) else: agent.direction = (1, 0) else: flag =\",\n \"válida, en caso de que sea válida regresa True, en caso contrario #regresa\",\n \"get_poss_cell(self): neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in\",\n \"False return True def step(self): #Variable para guardar el resultado de la función\",\n \"i == 2: x = 11 y = 9 alight.light = False self.grid.place_agent(alight,\",\n \"avanzar hacia el frente, regresa el valor de la variable move que son\",\n \"hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1\",\n \"0 count_right = 0 #Loop para añadir a los contadores la cantidad de\",\n \"neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: next_dir = (self.pos[0] -\",\n \"luz del semáforo en caso # de que el automóvil tenga uno de\",\n \"in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter += 1\",\n \"<NAME> A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization\",\n \"= 9 if i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif\",\n \"a los contadores la cantidad de automóviles que hay en cada lado. for\",\n \"0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función\",\n \"move que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] +\",\n \"poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase\",\n \"la función turn(). else: direction = self.turn() #Condición, si la variable direction es\",\n \"las calles, donde NO está el cruce. for row in range(height): for col\",\n \"__init__(self, N: int, width: int, height: int): self.num_agents = N self.running = True\",\n \"self.random.randint(0, len(street_pos) - 1) pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a)\",\n \"self.uids += 1 flag = True if col > width // 2 -\",\n \"cambia la dirección del automóvil. if direction: self.direction = direction #En caso contrario\",\n \"def __init__(self, N: int, width: int, height: int): self.num_agents = N self.running =\",\n \"1) else: agent.direction = (0, -1) elif row > height // 2 -\",\n \"número de automóviles que hay en un semáforo, # regresa el contador con\",\n \"return None #Función para revisar la luz de los semáforos, regresa la luz\",\n \"hay en cada lado. for agent in self.schedule.agents: if agent.agent_type == 1: if\",\n \"height street_pos = [] self.lights = 4 #Loop para crear la parte interior\",\n \"row > height // 2 - 2 and row < height // 2\",\n \"== 1: return agent.light return True #Función para checar si hay otro automovil\",\n \"model): super().__init__(unique_id, model) self.next_cell = None self.direction = None self.agent_type = 0 #Función\",\n \"8 y = 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i ==\",\n \"el frente, regresa el valor de la variable move que son coordenadas. def\",\n \"self.light = False #Función para cambiar la luz de los semáforos. def change(self):\",\n \"agent.light = True elif agent.unique_id == 1: agent.light = True elif agent.unique_id ==\",\n \"False elif agent.unique_id == 1: agent.light = False elif agent.unique_id == 2: agent.light\",\n \"#Función para dar vuelta, regresa la dirección de la calle. def turn(self): for\",\n \"height, False) self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width =\",\n \"agentes automóviles class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None\",\n \"and row < width - 1: if col > width // 2: agent.direction\",\n \"agent.direction = (0, 1) else: flag = False elif row >= height -2\",\n \"recibir las posibles celdas a dónde moverse, regresa la posición de la calle.\",\n \"para obtener la dirección hacia donde debe moverse el automóvil, regresa la dirección\",\n \"self.grid.place_agent(alight, (x, y)) else: x = 11 y = 10 alight.light = False\",\n \"if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en\",\n \"random import random from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner\",\n \"agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa la dirección de\",\n \"cambiar la luz de los semáforos. def change(self): self.light = not self.light #Función\",\n \"la dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False):\",\n \"= False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la\",\n \"1: return agent.light return True #Función para checar si hay otro automovil enfrente,\",\n \"#Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids +=\",\n \"in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars()\",\n \"< self.model.width and position[1] < self.model.height and position[0] >= 0 and position[1] >=\",\n \"se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En\",\n \"hay en un semáforo, # regresa el contador con el número de automóviles.\",\n \"dan luz roja. if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type\",\n \"al valor de la variable. else: poss = self.get_poss_cell() self.next_cell = poss if\",\n \"está el cruce. for row in range(height): for col in range(width): agent =\",\n \"crear los automóviles en posiciones random donde hay calle. for i in range(self.num_agents):\",\n \"= (1, 0) else: agent.direction = (0, 1) elif row >= 2 and\",\n \"position[0] >= 0 and position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return\",\n \"2 - 2 and col < width // 2 + 1 and col\",\n \"celdas a dónde moverse, regresa la posición de la calle. def get_poss_cell(self): neighborhood\",\n \"pos = street_pos.pop(pos_index) a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for\",\n \"model) self.next_cell = None self.direction = None self.agent_type = 0 #Función para validar\",\n \"self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2: if agent.direction != self.direction: return agent.direction return None\",\n \"= StreetAgent(self.uids, self) self.uids += 1 flag = True if row < 2:\",\n \"las posibles celdas a dónde moverse, regresa la posición de la calle. def\",\n \"width self.height = height street_pos = [] self.lights = 4 #Loop para crear\",\n \"< width // 2 + 1 and col > 1 and col <\",\n \"self.uids += 1 flag = True if row < 2: if col <\",\n \"> 1 and row < width - 1: if col > width //\",\n \"#Loop para añadir a los contadores la cantidad de automóviles que hay en\",\n \"count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=True) for cell in neighborhood:\",\n \"#La siguiente celda del automóvil cambia al valor de la variable. else: poss\",\n \"not self.model.grid.is_cell_empty(position): return True return False #Función para recibir las posibles celdas a\",\n \"1 flag = True if row < 2: if col < width -\",\n \"(0, 1) else: flag = False elif row >= height -2 and row\",\n \"False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear la parte\",\n \"row < height // 2 + 1 and row > 1 and row\",\n \"if direction: self.direction = direction #En caso contrario una variable guarda el resultado\",\n \"0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1: x =\",\n \"el lado izquierdo tiene más automóviles, los semáforos del lado izquierdo #dan luz\",\n \"self.schedule = RandomActivation(self) self.uids = 0 self.lights_ids = 0 self.width = width self.height\",\n \"TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9 if\",\n \"y los semáforos del lado derecho dan luz roja. if count_left >= count_right:\",\n \"agent.direction = (0, 1) else: agent.direction = (0, -1) elif row > height\",\n \"False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos tienen más\",\n \"luz verde y los semáforos del lado derecho dan luz roja. if count_left\",\n \"(1, 0) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row))\",\n \"caso contrario #regresa False. def is_valid(self, position): if position[0] < self.model.width and position[1]\",\n \"luz roja. if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type ==\",\n \"9 alight.light = False self.grid.place_agent(alight, (x, y)) else: x = 11 y =\",\n \">= 2 and row < height - 2: if col < 2: agent.direction\",\n \"automóviles. count_left = 0 count_right = 0 #Loop para añadir a los contadores\",\n \"elif row >= 2 and row < height - 2: if col <\",\n \"== 1: if agent.unique_id == 0: agent.light = False elif agent.unique_id == 1:\",\n \"Model from mesa.time import RandomActivation #Clase para crear a los agentes automóviles class\",\n \"BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa import Agent\",\n \"el resultado de la función turn(). else: direction = self.turn() #Condición, si la\",\n \"class TrafficLightAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.agent_type = 1 self.light =\",\n \"1 and row > 1 and row < width - 1: if col\",\n \"row)) #Loop para crear la parte exterior de las calles, donde NO está\",\n \"self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función para checar si\",\n \"A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules import\",\n \"(col, row)) street_pos.append((col, row)) #Loop para crear los automóviles en posiciones random donde\",\n \"import Agent , Model from mesa.time import RandomActivation #Clase para crear a los\",\n \"1: if agent.unique_id == 0: agent.light = False elif agent.unique_id == 1: agent.light\",\n \"= 10 alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 2: x\",\n \"None self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model): def __init__(self,\",\n \"CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector\",\n \"el número de automóviles que hay en un semáforo, # regresa el contador\",\n \"self.lights_ids = 0 self.width = width self.height = height street_pos = [] self.lights\",\n \"elif i == 1: x = 8 y = 10 alight.light = True\",\n \"la calle. def get_nextdirect(self, position): for agent in self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2:\",\n \"valor booleano. def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return\",\n \"+= 1 self.schedule.add(alight) x = 8 y = 9 if i == 0:\",\n \"model) self.agent_type = 1 self.light = False #Función para cambiar la luz de\",\n \"para dar vuelta, regresa la dirección de la calle. def turn(self): for cell\",\n \"direction #En caso contrario una variable guarda el resultado de la función get_poss_cell().\",\n \"la variable. else: poss = self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light():\",\n \"de la función get_nextcell(). next_cell = self.get_nextcell() #Condición, si la siguiente celda es\",\n \"cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso\",\n \"elif agent.unique_id == 3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene\",\n \"para revisar la luz de los semáforos, regresa la luz del semáforo en\",\n \"if col > width // 2 - 2 and col < width //\",\n \"cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 2:\",\n \"automóvil tenga uno de vecino. En caso contrario regresa True. def check_light(self): for\",\n \"para saber cuáles semáforos tienen más automóviles. count_left = 0 count_right = 0\",\n \"del lado derecho dan luz roja. if count_left >= count_right: for agent in\",\n \"== 2: agent.light = False else: agent.light = False #En caso contrario los\",\n \"class CarAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.next_cell = None self.direction =\",\n \"self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar hacia\",\n \"position): if position[0] < self.model.width and position[1] < self.model.height and position[0] >= 0\",\n \"Agent , Model from mesa.time import RandomActivation #Clase para crear a los agentes\",\n \"if row >= height // 2: agent.direction = (0, 1) else: agent.direction =\",\n \"self.model.grid.get_cell_list_contents(position): if agent.agent_type == 2: return agent.direction #Función para dar vuelta, regresa la\",\n \"es verdadera se cambia la dirección del automóvil. if direction: self.direction = direction\",\n \"con el número de automóviles. def count_cars(self): counter = 0 neighborhood = self.model.grid.get_neighborhood(self.pos,\",\n \"if agent.agent_type == 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if\",\n \"= [] self.lights = 4 #Loop para crear la parte interior de las\",\n \"agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if col >\",\n \"posibles celdas a dónde moverse, regresa la posición de la calle. def get_poss_cell(self):\",\n \"= self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de la función\",\n \"posiciones random donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self)\",\n \"moverse el automóvil, regresa la dirección # de la calle. def get_nextdirect(self, position):\",\n \"la parte interior de las calles, donde está el cruce. for row in\",\n \"parte exterior de las calles, donde NO está el cruce. for row in\",\n \"contrario regresa True. def check_light(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1:\",\n \"en caso de que sea válida regresa True, en caso contrario #regresa False.\",\n \"mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from mesa.space import MultiGrid from mesa\",\n \"la variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0],\",\n \"def check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return\",\n \"celda del automóvil cambia al valor de la variable. else: poss = self.get_poss_cell()\",\n \"for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight) x\",\n \"def change(self): self.light = not self.light #Función para contar el número de automóviles\",\n \"False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop para crear los automóviles\",\n \"for agent in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light\",\n \"= (0, -1) elif col >= width - 2 and col < width:\",\n \"if count_left >= count_right: for agent in self.schedule.agents: if agent.agent_type == 1: if\",\n \"next_cell = self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda en\",\n \"alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles semáforos\",\n \"regresa el valor de la variable move que son coordenadas. def get_nextcell(self): move\",\n \"self.direction = None self.agent_type = 2 #Clase para crear el modelo. class CarModel(Model):\",\n \"<NAME> A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid\",\n \"y)) elif i == 1: x = 8 y = 10 alight.light =\",\n \"mesa.time import RandomActivation #Clase para crear a los agentes automóviles class CarAgent(Agent): def\",\n \"valor de la variable move que son coordenadas. def get_nextcell(self): move = (self.pos[0]\",\n \"agent.light = False elif agent.unique_id == 2: agent.light = True else: agent.light =\",\n \"caso contrario una variable guarda el resultado de la función get_poss_cell(). #La siguiente\",\n \"agent = StreetAgent(self.uids, self) self.uids += 1 flag = True if row <\",\n \"i == 0: alight.light = True self.grid.place_agent(alight, (x, y)) elif i == 1:\",\n \"#Función para revisar la luz de los semáforos, regresa la luz del semáforo\",\n \"if next_dir[0] * -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return\",\n \"1 self.light = False #Función para cambiar la luz de los semáforos. def\",\n \"MultiGrid from mesa import Agent , Model from mesa.time import RandomActivation #Clase para\",\n \"< height: if col < width - 2: agent.direction = (-1, 0) else:\",\n \"= width self.height = height street_pos = [] self.lights = 4 #Loop para\",\n \"para avanzar hacia el frente, regresa el valor de la variable move que\",\n \"automóviles que hay en cada lado. for agent in self.schedule.agents: if agent.agent_type ==\",\n \"from mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from\",\n \"cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type == 0: counter +=\",\n \"and row < height - 2: if col < 2: agent.direction = (0,\",\n \"== 1: x = 8 y = 10 alight.light = True self.grid.place_agent(alight, (x,\",\n \"= self.get_poss_cell() self.next_cell = poss if self.check_car(): if self.check_light(): self.model.grid.move_agent(self, self.next_cell) #Clase para\",\n \"el cruce. for row in range(height): for col in range(width): agent = StreetAgent(self.uids,\",\n \"self.width = width self.height = height street_pos = [] self.lights = 4 #Loop\",\n \"2: agent.direction = (0, -1) elif col >= width - 2 and col\",\n \"* -1 != self.direction[0] and next_dir[1] * -1 != self.direction[1]: return agent.pos #Función\",\n \"-1 != self.direction[1]: return agent.pos #Función para avanzar hacia el frente, regresa el\",\n \"sea válida regresa True, en caso contrario #regresa False. def is_valid(self, position): if\",\n \"= 4 #Loop para crear la parte interior de las calles, donde está\",\n \"== 0: return False return True def step(self): #Variable para guardar el resultado\",\n \"los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model) self.direction =\",\n \"mesa.space import MultiGrid from mesa import Agent , Model from mesa.time import RandomActivation\",\n \"= direction #En caso contrario una variable guarda el resultado de la función\",\n \"self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = False elif\",\n \"10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber cuáles\",\n \"True def step(self): #Variable para guardar el resultado de la función get_nextcell(). next_cell\",\n \"automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction =\",\n \"agent.direction = (0, -1) elif col >= width - 2 and col <\",\n \"tienen más automóviles. count_left = 0 count_right = 0 #Loop para añadir a\",\n \"return agent.pos #Función para avanzar hacia el frente, regresa el valor de la\",\n \"contar el número de automóviles que hay en un semáforo, # regresa el\",\n \"self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = True elif\",\n \"from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection import DataCollector from\",\n \"luz verde y los semáforos del lado #izquierdo dan luz roja. else: for\",\n \"revisar la luz de los semáforos, regresa la luz del semáforo en caso\",\n \"a.direction = self.grid.get_cell_list_contents(pos)[0].direction self.grid.place_agent(a, pos) self.schedule.add(a) #Crear los semáforos for i in range(self.lights):\",\n \"> height // 2 - 2 and row < height // 2 +\",\n \"moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type ==\",\n \"= True self.grid.place_agent(alight, (x, y)) elif i == 2: x = 11 y\",\n \"A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules import CanvasGrid from\",\n \"agent.unique_id == 1: agent.light = True elif agent.unique_id == 2: agent.light = False\",\n \"self.schedule.add(a) #Crear los semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids\",\n \"agent.direction = (-1, 0) else: agent.direction = (1, 0) else: flag = False\",\n \"position[1] >= 0: if not self.model.grid.is_cell_empty(position): return True return False #Función para recibir\",\n \"range(self.num_agents): a = CarAgent(self.uids, self) self.uids += 1 pos_index = self.random.randint(0, len(street_pos) -\",\n \"= (0, 1) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col,\",\n \"coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move\",\n \"= self.get_nextcell() #Condición, si la siguiente celda es válida, se guarda en el\",\n \"la luz del semáforo en caso # de que el automóvil tenga uno\",\n \"de las calles, donde NO está el cruce. for row in range(height): for\",\n \"= 10 alight.light = False self.grid.place_agent(alight, (x, y)) def step(self): #Contadores para saber\",\n \"self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell): if agent.agent_type\",\n \"regresa la dirección de la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False,\",\n \"2: agent.light = False else: agent.light = False #En caso contrario los semáforos\",\n \"que son coordenadas. def get_nextcell(self): move = (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1])\",\n \"= True self.grid.place_agent(alight, (x, y)) elif i == 1: x = 8 y\",\n \"direction = self.turn() #Condición, si la variable direction es verdadera se cambia la\",\n \"se cambia la dirección del automóvil. if direction: self.direction = direction #En caso\",\n \"los semáforos, regresa la luz del semáforo en caso # de que el\",\n \"agent.agent_type == 0: return False return True def step(self): #Variable para guardar el\",\n \"if agent.agent_type == 1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id\",\n \"1: if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left\",\n \"return True def step(self): #Variable para guardar el resultado de la función get_nextcell().\",\n \"de que sea válida regresa True, en caso contrario #regresa False. def is_valid(self,\",\n \"semáforos for i in range(self.lights): alight = TrafficLightAgent(self.lights_ids, self) self.lights_ids += 1 self.schedule.add(alight)\",\n \"col < height - 1: if row >= height // 2: agent.direction =\",\n \"#Condición, si la variable direction es verdadera se cambia la dirección del automóvil.\",\n \"= None self.direction = None self.agent_type = 0 #Función para validar si la\",\n \"self.model.grid.move_agent(self, self.next_cell) #Clase para crear a los agentes semáforos. class TrafficLightAgent(Agent): def __init__(self,\",\n \"mesa.visualization.modules import CanvasGrid from mesa.visualization.ModularVisualization import ModularServer from mesa.batchrunner import BatchRunner from mesa.datacollection\",\n \"random donde hay calle. for i in range(self.num_agents): a = CarAgent(self.uids, self) self.uids\",\n \"semáforo en caso # de que el automóvil tenga uno de vecino. En\",\n \"next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una varible guarda el resultado de\",\n \"0) else: flag = False if flag: self.grid.place_agent(agent, (col, row)) street_pos.append((col, row)) #Loop\",\n \"in self.schedule.agents: if agent.agent_type == 1: if agent.unique_id == 0: agent.light = False\",\n \"la calle. def turn(self): for cell in self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False): for agent in\",\n \"i == 1: x = 8 y = 10 alight.light = True self.grid.place_agent(alight,\",\n \"crear a los agentes calle. class StreetAgent(Agent): def __init__(self, unique_id, model): super().__init__(unique_id, model)\",\n \"3: count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los\",\n \"return agent.direction #Función para dar vuelta, regresa la dirección de la calle. def\",\n \"and col < height - 1: if row >= height // 2: agent.direction\",\n \"el automóvil, regresa la dirección # de la calle. def get_nextdirect(self, position): for\",\n \"agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 1: return agent.light return True #Función para\",\n \"#izquierdo dan luz roja. else: for agent in self.schedule.agents: if agent.agent_type == 1:\",\n \"= (self.pos[0] + self.direction[0], self.pos[1] + self.direction[1]) return move #Función para obtener la\",\n \"neighborhood = self.model.grid.get_neighborhood(self.pos, moore=False, include_center=False) for cell in neighborhood: for agent in self.model.grid.get_cell_list_contents(cell):\",\n \"check_car(self): for agent in self.model.grid.get_cell_list_contents(self.next_cell): if agent.agent_type == 0: return False return True\",\n \"si la posición es válida, en caso de que sea válida regresa True,\",\n \"width: agent.direction = (0, 1) else: flag = False elif row >= height\",\n \"de la función turn(). else: direction = self.turn() #Condición, si la variable direction\",\n \"self) self.lights_ids += 1 self.schedule.add(alight) x = 8 y = 9 if i\",\n \"#Función para cambiar la luz de los semáforos. def change(self): self.light = not\",\n \"int): self.num_agents = N self.running = True self.grid = MultiGrid(width, height, False) self.schedule\",\n \"if agent.unique_id == 0: count_left += agent.count_cars() elif agent.unique_id == 1: count_left +=\",\n \"count_right += agent.count_cars() #Condición, si el lado izquierdo tiene más automóviles, los semáforos\",\n \"dirección. if self.is_valid(next_cell): self.next_cell = next_cell self.direction = self.get_nextdirect(self.next_cell) #En caso contrario una\",\n \"= True if row < 2: if col < width - 2: agent.direction\",\n \"#Loop para crear la parte interior de las calles, donde está el cruce.\",\n \"la variable direction es verdadera se cambia la dirección del automóvil. if direction:\",\n \"semáforos del lado derecho dan luz verde y los semáforos del lado #izquierdo\",\n \"if col < width - 2: agent.direction = (-1, 0) else: agent.direction =\",\n \"= N self.running = True self.grid = MultiGrid(width, height, False) self.schedule = RandomActivation(self)\",\n \"= (-1, 0) else: agent.direction = (1, 0) else: flag = False if\",\n \"2 #Clase para crear el modelo. class CarModel(Model): def __init__(self, N: int, width:\",\n \"(0, -1) elif col >= width - 2 and col < width: agent.direction\",\n \"<NAME> A01751192 <NAME> A01379868 <NAME> A01749375 ''' from random import random from mesa.visualization.modules\",\n \"next_dir[1] * -1 != self.direction[1]: return agent.pos #Función para avanzar hacia el frente,\",\n \"una varible guarda el resultado de la función turn(). else: direction = self.turn()\",\n \"agent.agent_type == 0: counter += 1 return counter #Clase para crear a los\",\n \"1 flag = True if col > width // 2 - 2 and\",\n \"-1) elif row > height // 2 - 2 and row < height\",\n \"= False elif agent.unique_id == 2: agent.light = True else: agent.light = True\",\n \"CarModel(Model): def __init__(self, N: int, width: int, height: int): self.num_agents = N self.running\",\n \"2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] * -1\"\n]","isConversational":false}}},{"rowIdx":764,"cells":{"ngram":{"kind":"list like","value":["# Originally I implemented this using regular open() and read(), so it #","== '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else:","file to a jupyter notebook.\"\"\" import os from pkg_resources import resource_string from IPython.display","if the package is # in an egg or zip file. See: #","else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css':","file_type Args: qcodes_path (str): the path to the target file within the qcodes","file_type (Optional[str]): Override the file extension to determine what type of file this","load data files, because it works even if the package is # in","the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine","read(), so it # could use relative paths from the importing file. #","display(HTML('<style>' + contents + '</style>')) else: # default to html. Anything else? display(HTML(contents))","use the file extension to determine file type unless overridden by file_type Args:","<gh_stars>1-10 \"\"\"Helper for adding content stored in a file to a jupyter notebook.\"\"\"","unless overridden by file_type Args: qcodes_path (str): the path to the target file","os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext","Case insensitive, supported values are 'js', 'css', and 'html' \"\"\" contents = resource_string('qcodes',","# http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css, or html content","notebook.\"\"\" import os from pkg_resources import resource_string from IPython.display import display, Javascript, HTML","the importing file. # # But for distributable packages, pkg_resources.resource_string is the #","qcodes_path (str): the path to the target file within the qcodes package, like","or html content in a jupyter notebook. Content comes from a package-relative file","because it works even if the package is # in an egg or","file_type=None): \"\"\" Display some javascript, css, or html content in a jupyter notebook.","ext = '.css' else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif","this is. Case insensitive, supported values are 'js', 'css', and 'html' \"\"\" contents","use relative paths from the importing file. # # But for distributable packages,","Override the file extension to determine what type of file this is. Case","to determine what type of file this is. Case insensitive, supported values are","html content in a jupyter notebook. Content comes from a package-relative file path.","pkg_resources import resource_string from IPython.display import display, Javascript, HTML # Originally I implemented","qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext","stored in a file to a jupyter notebook.\"\"\" import os from pkg_resources import","implemented this using regular open() and read(), so it # could use relative","# But for distributable packages, pkg_resources.resource_string is the # best way to load","file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension","See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css, or html","for distributable packages, pkg_resources.resource_string is the # best way to load data files,","in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\"","file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css, or","elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else: # default to","so it # could use relative paths from the importing file. # #","jupyter notebook.\"\"\" import os from pkg_resources import resource_string from IPython.display import display, Javascript,","what type of file this is. Case insensitive, supported values are 'js', 'css',","file extension to determine file type unless overridden by file_type Args: qcodes_path (str):","relative paths from the importing file. # # But for distributable packages, pkg_resources.resource_string","But for distributable packages, pkg_resources.resource_string is the # best way to load data","display, Javascript, HTML # Originally I implemented this using regular open() and read(),","and read(), so it # could use relative paths from the importing file.","open() and read(), so it # could use relative paths from the importing","package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what type","'js', 'css', and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None:","in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext = '.css' else:","the # best way to load data files, because it works even if","path to the target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]):","the path to the target file within the qcodes package, like 'widgets/widgets.js' file_type","# could use relative paths from the importing file. # # But for","os from pkg_resources import resource_string from IPython.display import display, Javascript, HTML # Originally","the file extension to determine what type of file this is. Case insensitive,","import display, Javascript, HTML # Originally I implemented this using regular open() and","Originally I implemented this using regular open() and read(), so it # could","javascript, css, or html content in a jupyter notebook. Content comes from a","paths from the importing file. # # But for distributable packages, pkg_resources.resource_string is","adding content stored in a file to a jupyter notebook.\"\"\" import os from","could use relative paths from the importing file. # # But for distributable","a jupyter notebook.\"\"\" import os from pkg_resources import resource_string from IPython.display import display,","file this is. Case insensitive, supported values are 'js', 'css', and 'html' \"\"\"","'css', and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext","# best way to load data files, because it works even if the","file_type.lower(): ext = '.css' else: ext = '.html' if ext == '.js': display(Javascript(contents))","'.css': display(HTML('<style>' + contents + '</style>')) else: # default to html. Anything else?","ext = '.js' elif 'css' in file_type.lower(): ext = '.css' else: ext =","path. Will use the file extension to determine file type unless overridden by","extension to determine file type unless overridden by file_type Args: qcodes_path (str): the","file extension to determine what type of file this is. Case insensitive, supported","comes from a package-relative file path. Will use the file extension to determine","this using regular open() and read(), so it # could use relative paths","def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css, or html content in a","= '.css' else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext","qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what","notebook. Content comes from a package-relative file path. Will use the file extension","(Optional[str]): Override the file extension to determine what type of file this is.","'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what type of file","None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css'","ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>'","determine what type of file this is. Case insensitive, supported values are 'js',","like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what type of","the file extension to determine file type unless overridden by file_type Args: qcodes_path","'.css' else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext ==","# in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None):","the target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the","elif 'css' in file_type.lower(): ext = '.css' else: ext = '.html' if ext","resource_string from IPython.display import display, Javascript, HTML # Originally I implemented this using","regular open() and read(), so it # could use relative paths from the","import os from pkg_resources import resource_string from IPython.display import display, Javascript, HTML #","content in a jupyter notebook. Content comes from a package-relative file path. Will","to a jupyter notebook.\"\"\" import os from pkg_resources import resource_string from IPython.display import","data files, because it works even if the package is # in an","zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css,","'.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else: #","resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower():","to determine file type unless overridden by file_type Args: qcodes_path (str): the path","supported values are 'js', 'css', and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if","contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js'","a jupyter notebook. Content comes from a package-relative file path. Will use the","= '.js' elif 'css' in file_type.lower(): ext = '.css' else: ext = '.html'","some javascript, css, or html content in a jupyter notebook. Content comes from","determine file type unless overridden by file_type Args: qcodes_path (str): the path to","and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext =","pkg_resources.resource_string is the # best way to load data files, because it works","ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>'))","= os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower():","file path. Will use the file extension to determine file type unless overridden","ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css' in","package-relative file path. Will use the file extension to determine file type unless","http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css, or html content in","type unless overridden by file_type Args: qcodes_path (str): the path to the target","from IPython.display import display, Javascript, HTML # Originally I implemented this using regular","'css' in file_type.lower(): ext = '.css' else: ext = '.html' if ext ==","a file to a jupyter notebook.\"\"\" import os from pkg_resources import resource_string from","packages, pkg_resources.resource_string is the # best way to load data files, because it","overridden by file_type Args: qcodes_path (str): the path to the target file within","Javascript, HTML # Originally I implemented this using regular open() and read(), so","extension to determine what type of file this is. Case insensitive, supported values","type of file this is. Case insensitive, supported values are 'js', 'css', and","in file_type.lower(): ext = '.css' else: ext = '.html' if ext == '.js':","it # could use relative paths from the importing file. # # But","distributable packages, pkg_resources.resource_string is the # best way to load data files, because","display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript, css, or html content in a jupyter","jupyter notebook. Content comes from a package-relative file path. Will use the file","is # in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path,","is. Case insensitive, supported values are 'js', 'css', and 'html' \"\"\" contents =","package is # in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def","\"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif","(str): the path to the target file within the qcodes package, like 'widgets/widgets.js'","'.js' elif 'css' in file_type.lower(): ext = '.css' else: ext = '.html' if","from the importing file. # # But for distributable packages, pkg_resources.resource_string is the","\"\"\" Display some javascript, css, or html content in a jupyter notebook. Content","are 'js', 'css', and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is","is the # best way to load data files, because it works even","or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some javascript,","even if the package is # in an egg or zip file. See:","works even if the package is # in an egg or zip file.","'.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents","insensitive, supported values are 'js', 'css', and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8')","Display some javascript, css, or html content in a jupyter notebook. Content comes","'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower()","is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif","way to load data files, because it works even if the package is","by file_type Args: qcodes_path (str): the path to the target file within the","the package is # in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime","I implemented this using regular open() and read(), so it # could use","content stored in a file to a jupyter notebook.\"\"\" import os from pkg_resources","importing file. # # But for distributable packages, pkg_resources.resource_string is the # best","IPython.display import display, Javascript, HTML # Originally I implemented this using regular open()","= resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in","using regular open() and read(), so it # could use relative paths from","from a package-relative file path. Will use the file extension to determine file","Content comes from a package-relative file path. Will use the file extension to","of file this is. Case insensitive, supported values are 'js', 'css', and 'html'","= '.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' +","display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else: # default","in a file to a jupyter notebook.\"\"\" import os from pkg_resources import resource_string","it works even if the package is # in an egg or zip","HTML # Originally I implemented this using regular open() and read(), so it","an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display","from pkg_resources import resource_string from IPython.display import display, Javascript, HTML # Originally I","elif 'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext =","within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to","a package-relative file path. Will use the file extension to determine file type","== '.css': display(HTML('<style>' + contents + '</style>')) else: # default to html. Anything","css, or html content in a jupyter notebook. Content comes from a package-relative","egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \"\"\" Display some","file. # # But for distributable packages, pkg_resources.resource_string is the # best way","to the target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override","'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext = '.css'","if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents +","file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext = '.css' else: ext","best way to load data files, because it works even if the package","to load data files, because it works even if the package is #","# # But for distributable packages, pkg_resources.resource_string is the # best way to","values are 'js', 'css', and 'html' \"\"\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type","\"\"\"Helper for adding content stored in a file to a jupyter notebook.\"\"\" import","file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js'","files, because it works even if the package is # in an egg","import resource_string from IPython.display import display, Javascript, HTML # Originally I implemented this","file type unless overridden by file_type Args: qcodes_path (str): the path to the","if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext =","ext == '.css': display(HTML('<style>' + contents + '</style>')) else: # default to html.","Will use the file extension to determine file type unless overridden by file_type","in a jupyter notebook. Content comes from a package-relative file path. Will use","target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file","for adding content stored in a file to a jupyter notebook.\"\"\" import os","Args: qcodes_path (str): the path to the target file within the qcodes package,"],"string":"[\n \"# Originally I implemented this using regular open() and read(), so it #\",\n \"== '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else:\",\n \"file to a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string from IPython.display\",\n \"if the package is # in an egg or zip file. See: #\",\n \"else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css':\",\n \"file_type Args: qcodes_path (str): the path to the target file within the qcodes\",\n \"file_type (Optional[str]): Override the file extension to determine what type of file this\",\n \"load data files, because it works even if the package is # in\",\n \"the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine\",\n \"read(), so it # could use relative paths from the importing file. #\",\n \"display(HTML('<style>' + contents + '</style>')) else: # default to html. Anything else? display(HTML(contents))\",\n \"use the file extension to determine file type unless overridden by file_type Args:\",\n \"<gh_stars>1-10 \\\"\\\"\\\"Helper for adding content stored in a file to a jupyter notebook.\\\"\\\"\\\"\",\n \"unless overridden by file_type Args: qcodes_path (str): the path to the target file\",\n \"os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext\",\n \"Case insensitive, supported values are 'js', 'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes',\",\n \"# http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css, or html content\",\n \"notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string from IPython.display import display, Javascript, HTML\",\n \"the importing file. # # But for distributable packages, pkg_resources.resource_string is the #\",\n \"qcodes_path (str): the path to the target file within the qcodes package, like\",\n \"or html content in a jupyter notebook. Content comes from a package-relative file\",\n \"because it works even if the package is # in an egg or\",\n \"file_type=None): \\\"\\\"\\\" Display some javascript, css, or html content in a jupyter notebook.\",\n \"ext = '.css' else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif\",\n \"this is. Case insensitive, supported values are 'js', 'css', and 'html' \\\"\\\"\\\" contents\",\n \"use relative paths from the importing file. # # But for distributable packages,\",\n \"Override the file extension to determine what type of file this is. Case\",\n \"to determine what type of file this is. Case insensitive, supported values are\",\n \"html content in a jupyter notebook. Content comes from a package-relative file path.\",\n \"pkg_resources import resource_string from IPython.display import display, Javascript, HTML # Originally I implemented\",\n \"qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext\",\n \"stored in a file to a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import\",\n \"implemented this using regular open() and read(), so it # could use relative\",\n \"# But for distributable packages, pkg_resources.resource_string is the # best way to load\",\n \"file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension\",\n \"See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css, or html\",\n \"for distributable packages, pkg_resources.resource_string is the # best way to load data files,\",\n \"in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\"\",\n \"file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css, or\",\n \"elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else: # default to\",\n \"so it # could use relative paths from the importing file. # #\",\n \"jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string from IPython.display import display, Javascript,\",\n \"what type of file this is. Case insensitive, supported values are 'js', 'css',\",\n \"file extension to determine file type unless overridden by file_type Args: qcodes_path (str):\",\n \"relative paths from the importing file. # # But for distributable packages, pkg_resources.resource_string\",\n \"But for distributable packages, pkg_resources.resource_string is the # best way to load data\",\n \"display, Javascript, HTML # Originally I implemented this using regular open() and read(),\",\n \"and read(), so it # could use relative paths from the importing file.\",\n \"open() and read(), so it # could use relative paths from the importing\",\n \"package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what type\",\n \"'js', 'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None:\",\n \"in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext = '.css' else:\",\n \"the # best way to load data files, because it works even if\",\n \"path to the target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]):\",\n \"the path to the target file within the qcodes package, like 'widgets/widgets.js' file_type\",\n \"# could use relative paths from the importing file. # # But for\",\n \"os from pkg_resources import resource_string from IPython.display import display, Javascript, HTML # Originally\",\n \"the file extension to determine what type of file this is. Case insensitive,\",\n \"import display, Javascript, HTML # Originally I implemented this using regular open() and\",\n \"Originally I implemented this using regular open() and read(), so it # could\",\n \"javascript, css, or html content in a jupyter notebook. Content comes from a\",\n \"paths from the importing file. # # But for distributable packages, pkg_resources.resource_string is\",\n \"adding content stored in a file to a jupyter notebook.\\\"\\\"\\\" import os from\",\n \"could use relative paths from the importing file. # # But for distributable\",\n \"a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string from IPython.display import display,\",\n \"file this is. Case insensitive, supported values are 'js', 'css', and 'html' \\\"\\\"\\\"\",\n \"'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext\",\n \"# best way to load data files, because it works even if the\",\n \"file_type.lower(): ext = '.css' else: ext = '.html' if ext == '.js': display(Javascript(contents))\",\n \"'.css': display(HTML('<style>' + contents + '</style>')) else: # default to html. Anything else?\",\n \"ext = '.js' elif 'css' in file_type.lower(): ext = '.css' else: ext =\",\n \"path. Will use the file extension to determine file type unless overridden by\",\n \"extension to determine file type unless overridden by file_type Args: qcodes_path (str): the\",\n \"file extension to determine what type of file this is. Case insensitive, supported\",\n \"comes from a package-relative file path. Will use the file extension to determine\",\n \"this using regular open() and read(), so it # could use relative paths\",\n \"def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css, or html content in a\",\n \"= '.css' else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext\",\n \"qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what\",\n \"notebook. Content comes from a package-relative file path. Will use the file extension\",\n \"(Optional[str]): Override the file extension to determine what type of file this is.\",\n \"'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what type of file\",\n \"None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css'\",\n \"ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>'\",\n \"determine what type of file this is. Case insensitive, supported values are 'js',\",\n \"like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to determine what type of\",\n \"the file extension to determine file type unless overridden by file_type Args: qcodes_path\",\n \"'.css' else: ext = '.html' if ext == '.js': display(Javascript(contents)) elif ext ==\",\n \"# in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None):\",\n \"the target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the\",\n \"elif 'css' in file_type.lower(): ext = '.css' else: ext = '.html' if ext\",\n \"resource_string from IPython.display import display, Javascript, HTML # Originally I implemented this using\",\n \"regular open() and read(), so it # could use relative paths from the\",\n \"import os from pkg_resources import resource_string from IPython.display import display, Javascript, HTML #\",\n \"content in a jupyter notebook. Content comes from a package-relative file path. Will\",\n \"to a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string from IPython.display import\",\n \"data files, because it works even if the package is # in an\",\n \"zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css,\",\n \"'.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else: #\",\n \"resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower():\",\n \"to determine file type unless overridden by file_type Args: qcodes_path (str): the path\",\n \"supported values are 'js', 'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if\",\n \"contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js'\",\n \"a jupyter notebook. Content comes from a package-relative file path. Will use the\",\n \"= '.js' elif 'css' in file_type.lower(): ext = '.css' else: ext = '.html'\",\n \"some javascript, css, or html content in a jupyter notebook. Content comes from\",\n \"determine file type unless overridden by file_type Args: qcodes_path (str): the path to\",\n \"and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext =\",\n \"pkg_resources.resource_string is the # best way to load data files, because it works\",\n \"ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>'))\",\n \"= os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower():\",\n \"file path. Will use the file extension to determine file type unless overridden\",\n \"ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif 'css' in\",\n \"package-relative file path. Will use the file extension to determine file type unless\",\n \"http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css, or html content in\",\n \"type unless overridden by file_type Args: qcodes_path (str): the path to the target\",\n \"from IPython.display import display, Javascript, HTML # Originally I implemented this using regular\",\n \"'css' in file_type.lower(): ext = '.css' else: ext = '.html' if ext ==\",\n \"a file to a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string from\",\n \"packages, pkg_resources.resource_string is the # best way to load data files, because it\",\n \"overridden by file_type Args: qcodes_path (str): the path to the target file within\",\n \"Javascript, HTML # Originally I implemented this using regular open() and read(), so\",\n \"extension to determine what type of file this is. Case insensitive, supported values\",\n \"type of file this is. Case insensitive, supported values are 'js', 'css', and\",\n \"in file_type.lower(): ext = '.css' else: ext = '.html' if ext == '.js':\",\n \"it # could use relative paths from the importing file. # # But\",\n \"distributable packages, pkg_resources.resource_string is the # best way to load data files, because\",\n \"display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript, css, or html content in a jupyter\",\n \"jupyter notebook. Content comes from a package-relative file path. Will use the file\",\n \"is # in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path,\",\n \"is. Case insensitive, supported values are 'js', 'css', and 'html' \\\"\\\"\\\" contents =\",\n \"package is # in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def\",\n \"\\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif\",\n \"(str): the path to the target file within the qcodes package, like 'widgets/widgets.js'\",\n \"'.js' elif 'css' in file_type.lower(): ext = '.css' else: ext = '.html' if\",\n \"from the importing file. # # But for distributable packages, pkg_resources.resource_string is the\",\n \"\\\"\\\"\\\" Display some javascript, css, or html content in a jupyter notebook. Content\",\n \"are 'js', 'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is\",\n \"is the # best way to load data files, because it works even\",\n \"or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some javascript,\",\n \"even if the package is # in an egg or zip file. See:\",\n \"works even if the package is # in an egg or zip file.\",\n \"'.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents\",\n \"insensitive, supported values are 'js', 'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8')\",\n \"Display some javascript, css, or html content in a jupyter notebook. Content comes\",\n \"'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower()\",\n \"is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js' elif\",\n \"way to load data files, because it works even if the package is\",\n \"by file_type Args: qcodes_path (str): the path to the target file within the\",\n \"the package is # in an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime\",\n \"I implemented this using regular open() and read(), so it # could use\",\n \"content stored in a file to a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources\",\n \"importing file. # # But for distributable packages, pkg_resources.resource_string is the # best\",\n \"IPython.display import display, Javascript, HTML # Originally I implemented this using regular open()\",\n \"= resource_string('qcodes', qcodes_path).decode('utf-8') if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in\",\n \"using regular open() and read(), so it # could use relative paths from\",\n \"from a package-relative file path. Will use the file extension to determine file\",\n \"Content comes from a package-relative file path. Will use the file extension to\",\n \"of file this is. Case insensitive, supported values are 'js', 'css', and 'html'\",\n \"= '.html' if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' +\",\n \"display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else: # default\",\n \"in a file to a jupyter notebook.\\\"\\\"\\\" import os from pkg_resources import resource_string\",\n \"it works even if the package is # in an egg or zip\",\n \"HTML # Originally I implemented this using regular open() and read(), so it\",\n \"an egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display\",\n \"from pkg_resources import resource_string from IPython.display import display, Javascript, HTML # Originally I\",\n \"elif 'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext =\",\n \"within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file extension to\",\n \"a package-relative file path. Will use the file extension to determine file type\",\n \"== '.css': display(HTML('<style>' + contents + '</style>')) else: # default to html. Anything\",\n \"css, or html content in a jupyter notebook. Content comes from a package-relative\",\n \"egg or zip file. See: # http://pythonhosted.org/setuptools/setuptools.html#accessing-data-files-at-runtime def display_auto(qcodes_path, file_type=None): \\\"\\\"\\\" Display some\",\n \"file. # # But for distributable packages, pkg_resources.resource_string is the # best way\",\n \"to the target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override\",\n \"'js' in file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext = '.css'\",\n \"if ext == '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents +\",\n \"file_type.lower(): ext = '.js' elif 'css' in file_type.lower(): ext = '.css' else: ext\",\n \"best way to load data files, because it works even if the package\",\n \"to load data files, because it works even if the package is #\",\n \"# # But for distributable packages, pkg_resources.resource_string is the # best way to\",\n \"values are 'js', 'css', and 'html' \\\"\\\"\\\" contents = resource_string('qcodes', qcodes_path).decode('utf-8') if file_type\",\n \"\\\"\\\"\\\"Helper for adding content stored in a file to a jupyter notebook.\\\"\\\"\\\" import\",\n \"file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext = '.js'\",\n \"files, because it works even if the package is # in an egg\",\n \"import resource_string from IPython.display import display, Javascript, HTML # Originally I implemented this\",\n \"file type unless overridden by file_type Args: qcodes_path (str): the path to the\",\n \"if file_type is None: ext = os.path.splitext(qcodes_path)[1].lower() elif 'js' in file_type.lower(): ext =\",\n \"ext == '.css': display(HTML('<style>' + contents + '</style>')) else: # default to html.\",\n \"Will use the file extension to determine file type unless overridden by file_type\",\n \"in a jupyter notebook. Content comes from a package-relative file path. Will use\",\n \"target file within the qcodes package, like 'widgets/widgets.js' file_type (Optional[str]): Override the file\",\n \"for adding content stored in a file to a jupyter notebook.\\\"\\\"\\\" import os\",\n \"Args: qcodes_path (str): the path to the target file within the qcodes package,\"\n]","isConversational":false}}},{"rowIdx":765,"cells":{"ngram":{"kind":"list like","value":["ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs)","print((\"Storage free %s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit):","**kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status)","ProgramHubLogger from datetime import datetime import logging import os import sys from ui.MotionSensor","* from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication,","self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is","%-40s %6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\",","self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button)","from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import os import","import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from","import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from","log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots =","%-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i in","QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import","self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor)","(status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar","import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import","is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status","layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY","bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout =","import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import","ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status') window.show() hc.start()","monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status')","QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets","self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status)","Modified\", \"Project_id\", \"Type\")) for i in range(20): if str(i) in slots: sl =","status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget","= self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor,","\"Type\")) for i in range(20): if str(i) in slots: sl = slots[str(i)] modified","https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the issue of updating","app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status') window.show() hc.start() sys.exit(app.exec_())","%6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\"))","= PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console","trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the issue","MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget","from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus","= QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb","= self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4","%-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for","/usr/bin/python3 import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging","', r) logger.info(\"LEGO status app starting up\") hc = HubClient() monitor = HubMonitor(hc)","**kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget","data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger =","% (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage free %s%s of total %s%s\"","layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button)","setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage","mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print","HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state ==","%H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id']","super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox =","layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0])","hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client","storage = info['storage'] slots = info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\" %","layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this","try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except:","execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s',","= ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status') window.show()","layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected","self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None:","= QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected)","QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import *","\" \" print(\"%4s %-40s %5db %-20s %-12s %-10s\" % (i, decoded_name, sl['size'], modified,","\" print(\"%4s %-40s %5db %-20s %-12s %-10s\" % (i, decoded_name, sl['size'], modified, project,","modified, project, type)) print((\"Storage free %s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'],","= sl['type'] except: type = \" \" print(\"%4s %-40s %5db %-20s %-12s %-10s\"","hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status)","os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget","for i in range(20): if str(i) in slots: sl = slots[str(i)] modified =","in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8')","is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh()","*args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel()","import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from","QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append","def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ', r)","QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing","from background threads -- i.e. events # raised by HubClient. timer = QtCore.QTimer(self)","self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout =","**kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox","app starting up\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app","work around the issue of updating UI from background threads -- i.e. events","DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box","\"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i in range(20): if str(i)","self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state ==","import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient","= QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution')",": HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor","\" \" try: type = sl['type'] except: type = \" \" print(\"%4s %-40s","up\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv)","import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import","= QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer","QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons)","if storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4 r =","QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget()","layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget)","%5db %-20s %-12s %-10s\" % (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage free","append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text +","self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox)","self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box =","layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py","storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot)","starting up\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app =","sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client :","QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh","background threads -- i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200)","to work around the issue of updating UI from background threads -- i.e.","buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw)","import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\"App\")","timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY","sl['name'] try: project = sl['project_id'] except: project = \" \" try: type =","status app starting up\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program')","box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout","type = \" \" print(\"%4s %-40s %5db %-20s %-12s %-10s\" % (i, decoded_name,","comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from","QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:'))","run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def","HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label =","= ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs)","storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self,","total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs):","\"Project_id\", \"Type\")) for i in range(20): if str(i) in slots: sl = slots[str(i)]","\" try: type = sl['type'] except: type = \" \" print(\"%4s %-40s %5db","= self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh()","refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the","def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text)","= QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def","+ '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args,","from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import","ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self):","= QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget)","%s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status","from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the issue of","modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try:","HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging","QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb =","+= self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used","except: type = \" \" print(\"%4s %-40s %5db %-20s %-12s %-10s\" % (i,","def append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient,","= QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout =","= base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except: project =","top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons","decoded_name = sl['name'] try: project = sl['project_id'] except: project = \" \" try:","self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not","from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import","= \" \" print(\"%4s %-40s %5db %-20s %-12s %-10s\" % (i, decoded_name, sl['size'],","trick is used to work around the issue of updating UI from background","Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i in range(20): if str(i) in","self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n') class","from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from","QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout","run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO","self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget","is not None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program","text): self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor :","self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text):","# Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget)","execute returns: ', r) logger.info(\"LEGO status app starting up\") hc = HubClient() monitor","UI from background threads -- i.e. events # raised by HubClient. timer =","project = sl['project_id'] except: project = \" \" try: type = sl['type'] except:","sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name","Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected =","r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO status app starting up\")","print(\"%4s %-40s %6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\",","QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self):","slots = info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\",","super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget =","== ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def","ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import *","r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client,","= hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget =","layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw)","raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected =","ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5","self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget =","= self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO status app starting up\") hc","= MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button","PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState,","self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor,","= info['storage'] slots = info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\" % (\"Slot\",","'\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs):","in range(20): if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S')","= slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name =","events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self):","print(\"%4s %-40s %5db %-20s %-12s %-10s\" % (i, decoded_name, sl['size'], modified, project, type))","QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout()","runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program","ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state","from utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename)","= QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button)","ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__)","class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args,","def list_programs(info): storage = info['storage'] slots = info['slots'] print(\"%4s %-40s %6s %-20s %-12s","list_programs(info): storage = info['storage'] slots = info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\"","self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns:","slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name']","PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import","\"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i in range(20): if str(i) in slots:","self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self):","DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\"","logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots","= info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\",","from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor","def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client","= QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout =","import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from","self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status)","print('Program execute returns: ', r) logger.info(\"LEGO status app starting up\") hc = HubClient()","layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:',","slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self):","import datetime import logging import os import sys from ui.MotionSensor import MotionSensorWidget from","logger.info(\"LEGO status app starting up\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger =","ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget","= HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO","**kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def","import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import","* from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient","Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout","threads -- i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh)","self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r =","from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from","returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r)","*args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor","(i, decoded_name, sl['size'], modified, project, type)) print((\"Storage free %s%s of total %s%s\" %","self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button","layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program","try: project = sl['project_id'] except: project = \" \" try: type = sl['type']","= ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget()","None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns:","self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout =","= datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project","around the issue of updating UI from background threads -- i.e. events #","= self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self,","HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename","by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state","not None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute","QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons)","refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh()","= 4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO status app","logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns:","text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n')","= hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button","free %s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def","hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window","ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program","layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout =","__init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb","layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py #","% (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)","= self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program","hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor","QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget","from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger","r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow):","data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup","= self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r","stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self,","%s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args,","= QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget()","is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status()","i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def","QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client))","i in range(20): if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d","layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from","MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button =","= QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program)","hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button =","self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box =","range(20): if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try:","__init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client =","def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text","hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor","%-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i","info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded Name\", \"Size\", \"Last","QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import","returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs)","timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected","is used to work around the issue of updating UI from background threads","list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot","= QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box)","timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected","self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute","self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO status app starting up\") hc =","\"Last Modified\", \"Project_id\", \"Type\")) for i in range(20): if str(i) in slots: sl","storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap)","self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to","and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if","= \" \" try: type = sl['type'] except: type = \" \" print(\"%4s","from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import","self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4 r","self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self,","PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import *","from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from","% (\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i in range(20):","self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick","%-12s %-10s\" % (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage free %s%s of","sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget","from datetime import datetime import logging import os import sys from ui.MotionSensor import","ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui","PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget","layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label)","import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) +","import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import","base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import os","= sl['name'] try: project = sl['project_id'] except: project = \" \" try: type","= QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box)","self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget):","from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton,","4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO status app starting","self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args,","layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw","= DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status)","+ \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\"%4s %-40s","the issue of updating UI from background threads -- i.e. events # raised","= HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window =","timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and","hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run')","%-40s %5db %-20s %-12s %-10s\" % (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage","r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status =","type = sl['type'] except: type = \" \" print(\"%4s %-40s %5db %-20s %-12s","self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate","os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\"%4s","layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout)","<reponame>smr99/lego-hub-tk<filename>hubcontrol.py #! /usr/bin/python3 import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime","import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget","of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args,","layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget)","datetime import logging import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus","QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from","base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except: project = \"","self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program)","class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text):","class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status","terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args,","self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r =","from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui,","\"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\"%4s %-40s %6s","HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub","logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs):","used to work around the issue of updating UI from background threads --","sl['size'], modified, project, type)) print((\"Storage free %s%s of total %s%s\" % (storage['free'], storage['unit'],","updating UI from background threads -- i.e. events # raised by HubClient. timer","= hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget =","= is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status =","layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick","sl['project_id'] except: project = \" \" try: type = sl['type'] except: type =","import logging import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import","(storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True)","# this trick is used to work around the issue of updating UI","import setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info):","append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor","refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot =","%s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class","__init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client","self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status","storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def","PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console =","is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value()","slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\"LEGO status","ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout","import ProgramHubLogger from datetime import datetime import logging import os import sys from","project, type)) print((\"Storage free %s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit'])))","**kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar()","def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb)","= QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons =","row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button","QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout","# Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget()","storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot =","except: project = \" \" try: type = sl['type'] except: type = \"","ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) #","%s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self,","data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import os import sys","= os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots']","hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor =","PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets","QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus","= QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget)","r) logger.info(\"LEGO status app starting up\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger","self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row","logging import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget","this trick is used to work around the issue of updating UI from","def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot","-- i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start()","project = \" \" try: type = sl['type'] except: type = \" \"","= logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage = info['storage']","info['storage'] slots = info['slots'] print(\"%4s %-40s %6s %-20s %-12s %-10s\" % (\"Slot\", \"Decoded","= hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget","# Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work","HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor =","HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc,","Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) #","super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum())","self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def","decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except: project","(\"Slot\", \"Decoded Name\", \"Size\", \"Last Modified\", \"Project_id\", \"Type\")) for i in range(20): if","= hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button =","sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget): def","*args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb =","self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop')","def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self):","self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget()","def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def","datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project =",": HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label","QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected)","from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename =","QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console)","= QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print +=","type)) print((\"Storage free %s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class","self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s',","#! /usr/bin/python3 import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import","QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box","%-20s %-12s %-10s\" % (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage free %s%s","HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget","layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout","layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def","hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top","decoded_name, sl['size'], modified, project, type)) print((\"Storage free %s%s of total %s%s\" % (storage['free'],","list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ',","if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name","== ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot)","self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh()","import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor","ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets","%-10s\" % (i, decoded_name, sl['size'], modified, project, type)) print((\"Storage free %s%s of total","* from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from","hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is","monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor)","= QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box)","str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name =","self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\n') class ProgramWidget(QWidget): def __init__(self, hub_client","datetime import datetime import logging import os import sys from ui.MotionSensor import MotionSensorWidget","self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget)","**kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox()","Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around","ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End)","issue of updating UI from background threads -- i.e. events # raised by","= self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r","layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append #","layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw =","from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from","= sl['project_id'] except: project = \" \" try: type = sl['type'] except: type","hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client,","self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List')","sl['type'] except: type = \" \" print(\"%4s %-40s %5db %-20s %-12s %-10s\" %","def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r)","import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from","# raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected","hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget =","import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import","slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except:","except: decoded_name = sl['name'] try: project = sl['project_id'] except: project = \" \"","def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client =","logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def list_programs(info): storage =","MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client","setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\"%4s %-40s %6s %-20s","ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import","returns: ', r) logger.info(\"LEGO status app starting up\") hc = HubClient() monitor =","Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box)","try: type = sl['type'] except: type = \" \" print(\"%4s %-40s %5db %-20s","r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate()","of updating UI from background threads -- i.e. events # raised by HubClient.","utils.setup import setup_logging logger = logging.getLogger(\"App\") log_filename = os.path.dirname(__file__) + \"/logs/hubcontrol.log\" setup_logging(log_filename) def","PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore,","DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore"],"string":"[\n \"ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs)\",\n \"print((\\\"Storage free %s%s of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit):\",\n \"**kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status)\",\n \"ProgramHubLogger from datetime import datetime import logging import os import sys from ui.MotionSensor\",\n \"* from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication,\",\n \"self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is\",\n \"%-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\",\",\n \"self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button)\",\n \"from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import os import\",\n \"import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from\",\n \"import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from\",\n \"log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots =\",\n \"%-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in\",\n \"QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import\",\n \"self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor)\",\n \"(status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar\",\n \"import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import\",\n \"is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status\",\n \"layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY\",\n \"bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout =\",\n \"import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import\",\n \"ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status') window.show() hc.start()\",\n \"monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status')\",\n \"QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets\",\n \"self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status)\",\n \"Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if str(i) in slots: sl =\",\n \"status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget\",\n \"= self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor,\",\n \"\\\"Type\\\")) for i in range(20): if str(i) in slots: sl = slots[str(i)] modified\",\n \"https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the issue of updating\",\n \"app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status') window.show() hc.start() sys.exit(app.exec_())\",\n \"%6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\"))\",\n \"= PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console\",\n \"trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the issue\",\n \"MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget\",\n \"from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus\",\n \"= QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb\",\n \"= self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4\",\n \"%-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for\",\n \"/usr/bin/python3 import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging\",\n \"', r) logger.info(\\\"LEGO status app starting up\\\") hc = HubClient() monitor = HubMonitor(hc)\",\n \"**kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget\",\n \"data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger =\",\n \"% (i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free %s%s of total %s%s\\\"\",\n \"layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button)\",\n \"setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage\",\n \"mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print\",\n \"HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state ==\",\n \"%H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id']\",\n \"super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox =\",\n \"layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0])\",\n \"hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client\",\n \"storage = info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" %\",\n \"layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this\",\n \"try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except:\",\n \"execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s',\",\n \"= ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub Status') window.show()\",\n \"layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected\",\n \"self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None:\",\n \"= QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected)\",\n \"QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import *\",\n \"\\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'], modified,\",\n \"\\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'], modified, project,\",\n \"modified, project, type)) print((\\\"Storage free %s%s of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'],\",\n \"= sl['type'] except: type = \\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\"\",\n \"hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status)\",\n \"os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget\",\n \"for i in range(20): if str(i) in slots: sl = slots[str(i)] modified =\",\n \"in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8')\",\n \"is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh()\",\n \"*args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel()\",\n \"import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from\",\n \"QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append\",\n \"def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ', r)\",\n \"QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing\",\n \"from background threads -- i.e. events # raised by HubClient. timer = QtCore.QTimer(self)\",\n \"self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout =\",\n \"**kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox\",\n \"app starting up\\\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app\",\n \"work around the issue of updating UI from background threads -- i.e. events\",\n \"DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box\",\n \"\\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if str(i)\",\n \"self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state ==\",\n \"import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient\",\n \"= QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution')\",\n \": HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor\",\n \"\\\" \\\" try: type = sl['type'] except: type = \\\" \\\" print(\\\"%4s %-40s\",\n \"up\\\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv)\",\n \"import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import\",\n \"= QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer\",\n \"QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons)\",\n \"if storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4 r =\",\n \"QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget()\",\n \"layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget)\",\n \"%5db %-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free\",\n \"append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text +\",\n \"self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox)\",\n \"self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box =\",\n \"layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py\",\n \"storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot)\",\n \"starting up\\\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app =\",\n \"sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client :\",\n \"QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh\",\n \"background threads -- i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200)\",\n \"to work around the issue of updating UI from background threads -- i.e.\",\n \"buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw)\",\n \"import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\")\",\n \"timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY\",\n \"sl['name'] try: project = sl['project_id'] except: project = \\\" \\\" try: type =\",\n \"status app starting up\\\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program')\",\n \"box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout\",\n \"type = \\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" % (i, decoded_name,\",\n \"comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from\",\n \"QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:'))\",\n \"run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def\",\n \"HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label =\",\n \"= ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs)\",\n \"storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self,\",\n \"total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs):\",\n \"\\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if str(i) in slots: sl = slots[str(i)]\",\n \"\\\" try: type = sl['type'] except: type = \\\" \\\" print(\\\"%4s %-40s %5db\",\n \"= self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh()\",\n \"refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the\",\n \"def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text)\",\n \"= QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def\",\n \"+ '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args,\",\n \"from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import\",\n \"ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self):\",\n \"= QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget)\",\n \"%s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status\",\n \"from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around the issue of\",\n \"modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try:\",\n \"HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging\",\n \"QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb =\",\n \"+= self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used\",\n \"except: type = \\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" % (i,\",\n \"def append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient,\",\n \"= QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout =\",\n \"= base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except: project =\",\n \"top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons\",\n \"decoded_name = sl['name'] try: project = sl['project_id'] except: project = \\\" \\\" try:\",\n \"self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not\",\n \"from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import\",\n \"= \\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'],\",\n \"trick is used to work around the issue of updating UI from background\",\n \"Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if str(i) in\",\n \"self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n') class\",\n \"from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from\",\n \"QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout\",\n \"run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO\",\n \"self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget\",\n \"is not None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program\",\n \"text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor :\",\n \"self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text):\",\n \"# Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget)\",\n \"execute returns: ', r) logger.info(\\\"LEGO status app starting up\\\") hc = HubClient() monitor\",\n \"UI from background threads -- i.e. events # raised by HubClient. timer =\",\n \"project = sl['project_id'] except: project = \\\" \\\" try: type = sl['type'] except:\",\n \"sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name\",\n \"Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected =\",\n \"r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO status app starting up\\\")\",\n \"print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\",\",\n \"QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self):\",\n \"slots = info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\",\",\n \"super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget =\",\n \"== ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def\",\n \"ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import *\",\n \"r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client,\",\n \"= hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget =\",\n \"layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw)\",\n \"raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected =\",\n \"ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5\",\n \"self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget =\",\n \"= self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO status app starting up\\\") hc\",\n \"= MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button\",\n \"PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState,\",\n \"self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor,\",\n \"= info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\",\",\n \"'\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs):\",\n \"in range(20): if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S')\",\n \"= slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name =\",\n \"events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self):\",\n \"print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'], modified, project, type))\",\n \"QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout()\",\n \"runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program\",\n \"ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state\",\n \"from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename)\",\n \"= QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button)\",\n \"ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__)\",\n \"class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args,\",\n \"def list_programs(info): storage = info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s\",\n \"list_programs(info): storage = info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\"\",\n \"self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns:\",\n \"slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name']\",\n \"PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import\",\n \"\\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if str(i) in slots:\",\n \"self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self):\",\n \"DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\"\",\n \"logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots\",\n \"= info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\",\",\n \"from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor\",\n \"def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client\",\n \"= QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout =\",\n \"import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from\",\n \"self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status)\",\n \"print('Program execute returns: ', r) logger.info(\\\"LEGO status app starting up\\\") hc = HubClient()\",\n \"layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:',\",\n \"slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self):\",\n \"import datetime import logging import os import sys from ui.MotionSensor import MotionSensorWidget from\",\n \"logger.info(\\\"LEGO status app starting up\\\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger =\",\n \"ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget\",\n \"= HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO\",\n \"**kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def\",\n \"import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import\",\n \"* from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient\",\n \"Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout\",\n \"threads -- i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh)\",\n \"self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r =\",\n \"from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from\",\n \"returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r)\",\n \"*args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor\",\n \"(i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free %s%s of total %s%s\\\" %\",\n \"self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button\",\n \"layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program\",\n \"try: project = sl['project_id'] except: project = \\\" \\\" try: type = sl['type']\",\n \"= ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget()\",\n \"None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns:\",\n \"self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout =\",\n \"= datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project\",\n \"around the issue of updating UI from background threads -- i.e. events #\",\n \"= self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self,\",\n \"HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename\",\n \"by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state\",\n \"not None: list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute\",\n \"QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons)\",\n \"refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh()\",\n \"= 4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO status app\",\n \"logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns:\",\n \"text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n')\",\n \"= hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button\",\n \"free %s%s of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def\",\n \"hc = HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window\",\n \"ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program\",\n \"layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout =\",\n \"__init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb\",\n \"layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py #\",\n \"% (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)\",\n \"= self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program\",\n \"hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor\",\n \"QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget\",\n \"from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger\",\n \"r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow):\",\n \"data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup\",\n \"= self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r\",\n \"stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self,\",\n \"%s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args,\",\n \"= QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget()\",\n \"is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status()\",\n \"i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def\",\n \"QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client))\",\n \"i in range(20): if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d\",\n \"layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from\",\n \"MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button =\",\n \"= QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program)\",\n \"hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button =\",\n \"self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box =\",\n \"range(20): if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try:\",\n \"__init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client =\",\n \"def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text\",\n \"hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor\",\n \"%-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i\",\n \"info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last\",\n \"QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import\",\n \"returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs)\",\n \"timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected\",\n \"is used to work around the issue of updating UI from background threads\",\n \"list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot\",\n \"= QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box)\",\n \"timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected\",\n \"self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute\",\n \"self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO status app starting up\\\") hc =\",\n \"\\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if str(i) in slots: sl\",\n \"storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap)\",\n \"self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to\",\n \"and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if\",\n \"= \\\" \\\" try: type = sl['type'] except: type = \\\" \\\" print(\\\"%4s\",\n \"from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import\",\n \"self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot = 4 r\",\n \"self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self,\",\n \"PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import *\",\n \"from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget from\",\n \"% (\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20):\",\n \"self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick\",\n \"%-12s %-10s\\\" % (i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free %s%s of\",\n \"sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget\",\n \"from datetime import datetime import logging import os import sys from ui.MotionSensor import\",\n \"ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui\",\n \"PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton, QWidget\",\n \"layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label)\",\n \"import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) +\",\n \"import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import\",\n \"base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import os\",\n \"= sl['name'] try: project = sl['project_id'] except: project = \\\" \\\" try: type\",\n \"= QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box)\",\n \"self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget):\",\n \"from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets import QApplication, QPushButton,\",\n \"4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO status app starting\",\n \"self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args,\",\n \"layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw\",\n \"= DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status)\",\n \"+ \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\\\"%4s %-40s\",\n \"the issue of updating UI from background threads -- i.e. events # raised\",\n \"= HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window =\",\n \"timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and\",\n \"hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run')\",\n \"%-40s %5db %-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage\",\n \"r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status =\",\n \"type = sl['type'] except: type = \\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s\",\n \"self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate\",\n \"os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\\\"%4s\",\n \"layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box) self.setLayout(layout)\",\n \"<reponame>smr99/lego-hub-tk<filename>hubcontrol.py #! /usr/bin/python3 import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime\",\n \"import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget\",\n \"of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args,\",\n \"layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget)\",\n \"datetime import logging import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus\",\n \"QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from\",\n \"base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except: project = \\\"\",\n \"self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program)\",\n \"class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text):\",\n \"class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status\",\n \"terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args,\",\n \"self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r =\",\n \"from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui,\",\n \"\\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s\",\n \"HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor) window.setWindowTitle('LEGO Hub\",\n \"logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs):\",\n \"used to work around the issue of updating UI from background threads --\",\n \"sl['size'], modified, project, type)) print((\\\"Storage free %s%s of total %s%s\\\" % (storage['free'], storage['unit'],\",\n \"updating UI from background threads -- i.e. events # raised by HubClient. timer\",\n \"= hub_monitor.status self._client = hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget =\",\n \"= is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status =\",\n \"layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append # Timer refresh trick\",\n \"sl['project_id'] except: project = \\\" \\\" try: type = sl['type'] except: type =\",\n \"import logging import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import\",\n \"(storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True)\",\n \"# this trick is used to work around the issue of updating UI\",\n \"import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info):\",\n \"append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor\",\n \"refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot =\",\n \"%s', r) def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class\",\n \"__init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client\",\n \"self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status\",\n \"storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def\",\n \"PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console =\",\n \"is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value()\",\n \"slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ', r) logger.info(\\\"LEGO status\",\n \"ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout\",\n \"import ProgramHubLogger from datetime import datetime import logging import os import sys from\",\n \"project, type)) print((\\\"Storage free %s%s of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit'])))\",\n \"**kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar()\",\n \"def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb)\",\n \"= QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons =\",\n \"row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button\",\n \"QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box = QGroupBox('Program Execution') layout\",\n \"# Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget()\",\n \"storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self): slot =\",\n \"except: project = \\\" \\\" try: type = sl['type'] except: type = \\\"\",\n \"ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) #\",\n \"%s%s of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit): def __init__(self,\",\n \"data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import logging import os import sys\",\n \"= os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots']\",\n \"hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client = hub_client self._hub_monitor =\",\n \"PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtWidgets\",\n \"QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus\",\n \"= QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget)\",\n \"r) logger.info(\\\"LEGO status app starting up\\\") hc = HubClient() monitor = HubMonitor(hc) monitor.logger\",\n \"self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top row\",\n \"logging import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget\",\n \"this trick is used to work around the issue of updating UI from\",\n \"def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot\",\n \"-- i.e. events # raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start()\",\n \"project = \\\" \\\" try: type = sl['type'] except: type = \\\" \\\"\",\n \"= logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage = info['storage']\",\n \"info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s %-20s %-12s %-10s\\\" % (\\\"Slot\\\", \\\"Decoded\",\n \"= hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget\",\n \"# Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work\",\n \"HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor =\",\n \"HubClient() monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc,\",\n \"Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) #\",\n \"super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb = self.verticalScrollBar() sb.setValue(sb.maximum())\",\n \"self.program_widget.refresh() def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def\",\n \"decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project = sl['project_id'] except: project\",\n \"(\\\"Slot\\\", \\\"Decoded Name\\\", \\\"Size\\\", \\\"Last Modified\\\", \\\"Project_id\\\", \\\"Type\\\")) for i in range(20): if\",\n \"= hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button =\",\n \"sb = self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def\",\n \"*args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End) self.insertPlainText(text) sb =\",\n \"self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox() self._run_button = QPushButton('Run') self._run_button.clicked.connect(self.run_program) self._stop_button = QPushButton('Stop')\",\n \"def list_programs(self): storage_status = self._client.get_storage_status() if storage_status is not None: list_programs(storage_status) def run_program(self):\",\n \"self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget()\",\n \"def stop_program(self): r = self._client.program_terminate() logger.debug('Program terminate returns: %s', r) class MainWindow(QMainWindow): def\",\n \"datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except: decoded_name = sl['name'] try: project =\",\n \": HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label\",\n \"QVBoxLayout() layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected)\",\n \"from ui.DeviceStatusWidget import DeviceStatusWidget from utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename =\",\n \"QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console)\",\n \"= QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print +=\",\n \"type)) print((\\\"Storage free %s%s of total %s%s\\\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class\",\n \"self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s',\",\n \"#! /usr/bin/python3 import base64 from data.ProgramHubLogger import ProgramHubLogger from datetime import datetime import\",\n \"QPushButton('Stop') self._stop_button.clicked.connect(self.stop_program) runstop_widget = QWidget() layout = QHBoxLayout(runstop_widget) layout.addWidget(QLabel('Slot:')) layout.addWidget(self._slot_spinbox) layout.addWidget(self._run_button) layout.addWidget(self._stop_button) box\",\n \"%-20s %-12s %-10s\\\" % (i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free %s%s\",\n \"HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import DeviceStatusWidget\",\n \"layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget) layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout\",\n \"layout.addWidget(box) self.setLayout(layout) def refresh(self): is_connected = self._client.state == ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def\",\n \"hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List') self.list_button.clicked.connect(self.list_programs) # Top\",\n \"decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free %s%s of total %s%s\\\" % (storage['free'],\",\n \"list_programs(storage_status) def run_program(self): slot = 4 r = self._client.program_execute(slot) print('Program execute returns: ',\",\n \"if str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name\",\n \"== ConnectionState.TELEMETRY self._executing_program_label.setText(self._monitor.execution_status[0]) self._run_button.setEnabled(is_connected) self._stop_button.setEnabled(is_connected) def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot)\",\n \"self._client.state == ConnectionState.TELEMETRY is_connected_usb = is_connected and self._hub_monitor.status.is_usb_connected self.list_button.setEnabled(is_connected_usb) self.position_widget.refresh() self.motion_widget.refresh() self.port_widget.refresh() self.program_widget.refresh()\",\n \"import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from data.HubMonitor import HubMonitor\",\n \"ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets\",\n \"%-10s\\\" % (i, decoded_name, sl['size'], modified, project, type)) print((\\\"Storage free %s%s of total\",\n \"* from PyQt5.QtWidgets import QApplication, QPushButton, QWidget from comm.HubClient import ConnectionState, HubClient from\",\n \"hub_monitor.events.console_print += self.console.append # Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is\",\n \"monitor = HubMonitor(hc) monitor.logger = ProgramHubLogger('logs/program') app = QApplication(sys.argv) window = MainWindow(hc, monitor)\",\n \"= QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw = QWidget() layout = QVBoxLayout(mw) layout.addWidget(top_box)\",\n \"str(i) in slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name =\",\n \"self.verticalScrollBar() sb.setValue(sb.maximum()) def append_line(self, text): self.append(text + '\\\\n') class ProgramWidget(QWidget): def __init__(self, hub_client\",\n \"datetime import datetime import logging import os import sys from ui.MotionSensor import MotionSensorWidget\",\n \"self.list_button.clicked.connect(self.list_programs) # Top row (status) top_box = QWidget() layout = QHBoxLayout(top_box) layout.addWidget(ConnectionWidget(hub_client)) layout.addWidget(self.position_widget)\",\n \"**kwargs) self._client = hub_client self._monitor = hub_monitor self._executing_program_label = QLabel() self._slot_spinbox = QSpinBox()\",\n \"Timer refresh trick from https://github.com/Taar2/pyqt5-modelview-tutorial/blob/master/modelview_3.py # this trick is used to work around\",\n \"ConsoleWidget(QTextEdit): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.setReadOnly(True) self.setLineWrapMode(QTextEdit.NoWrap) def append(self, text): self.moveCursor(QTextCursor.End)\",\n \"issue of updating UI from background threads -- i.e. events # raised by\",\n \"= self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r\",\n \"layout = QVBoxLayout(mw) layout.addWidget(top_box) layout.addWidget(buttons) layout.addWidget(self.program_widget) layout.addWidget(self.port_widget) layout.addWidget(self.console) self.setCentralWidget(mw) hub_monitor.events.console_print += self.console.append #\",\n \"layout.addWidget(self.motion_widget) # Button bar buttons = QWidget() layout = QHBoxLayout(buttons) layout.addWidget(self.list_button) mw =\",\n \"from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from\",\n \"= sl['project_id'] except: project = \\\" \\\" try: type = sl['type'] except: type\",\n \"hub_client self._hub_monitor = hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client,\",\n \"self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget = DevicePortWidget(status) self.console = ConsoleWidget() self.list_button = QPushButton('List')\",\n \"sl['type'] except: type = \\\" \\\" print(\\\"%4s %-40s %5db %-20s %-12s %-10s\\\" %\",\n \"def run_program(self): slot = self._slot_spinbox.value() r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r)\",\n \"import os import sys from ui.MotionSensor import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from\",\n \"# raised by HubClient. timer = QtCore.QTimer(self) timer.setInterval(200) timer.timeout.connect(self.refresh) timer.start() def refresh(self): is_connected\",\n \"hub_monitor self.position_widget = PositionStatusWidget(status) self.motion_widget = MotionSensorWidget(status) self.program_widget = ProgramWidget(hub_client, hub_monitor) self.port_widget =\",\n \"import MotionSensorWidget from ui.PositionStatus import PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import\",\n \"slots: sl = slots[str(i)] modified = datetime.utcfromtimestamp(sl['modified']/1000).strftime('%Y-%m-%d %H:%M:%S') try: decoded_name = base64.b64decode(sl['name']).decode('utf-8') except:\",\n \"except: decoded_name = sl['name'] try: project = sl['project_id'] except: project = \\\" \\\"\",\n \"def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client =\",\n \"logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def list_programs(info): storage =\",\n \"MainWindow(QMainWindow): def __init__(self, hub_client, hub_monitor, *args, **kwargs): super().__init__(*args, **kwargs) status = hub_monitor.status self._client\",\n \"setup_logging(log_filename) def list_programs(info): storage = info['storage'] slots = info['slots'] print(\\\"%4s %-40s %6s %-20s\",\n \"ConnectionState, HubClient from data.HubMonitor import HubMonitor from data.HubStatus import HubStatus from ui.DeviceStatusWidget import\",\n \"returns: ', r) logger.info(\\\"LEGO status app starting up\\\") hc = HubClient() monitor =\",\n \"Execution') layout = QFormLayout(box) layout.addRow('Executing Program ID:', self._executing_program_label) layout.addRow(runstop_widget) layout = QVBoxLayout() layout.addWidget(box)\",\n \"try: type = sl['type'] except: type = \\\" \\\" print(\\\"%4s %-40s %5db %-20s\",\n \"r = self._client.program_execute(slot) logger.debug('Program execute returns: %s', r) def stop_program(self): r = self._client.program_terminate()\",\n \"of updating UI from background threads -- i.e. events # raised by HubClient.\",\n \"utils.setup import setup_logging logger = logging.getLogger(\\\"App\\\") log_filename = os.path.dirname(__file__) + \\\"/logs/hubcontrol.log\\\" setup_logging(log_filename) def\",\n \"PositionStatusWidget from ui.DevicePortWidget import DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore,\",\n \"DevicePortWidget from ui.ConnectionWidget import ConnectionWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore\"\n]","isConversational":false}}},{"rowIdx":766,"cells":{"ngram":{"kind":"list like","value":["import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user =","TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model","from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import","import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from","LoginView from .models import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html'","fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields =","django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView","class TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView):","import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from","'__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url","Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True","your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return","Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task'","from django.shortcuts import render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from","# Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def","from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView,","class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task","= 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model","UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import","success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url =",".models import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user","redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name","CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model","model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model =","get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView):","here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class","from .models import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__'","Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self):","class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView):","'__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task' success_url = reverse_lazy('tasks')","= True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name =","context_object_name = 'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url =","model = Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields =","Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url","django.shortcuts import render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit","TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields","= '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__'","model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model =","'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model =","render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView,","django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy","def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class","context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView):","= '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task' success_url =","CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models","import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task # Create your","import LoginView from .models import Task # Create your views here. class CustomLoginView(LoginView):","fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task' success_url","= Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task'","views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks')","Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class","reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model =","= reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks')","class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model = Task","= Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task","django.contrib.auth.views import LoginView from .models import Task # Create your views here. class","import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from","ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls","TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name","DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task","fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task","return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model","= 'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks')","Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields","from django.contrib.auth.views import LoginView from .models import Task # Create your views here.","django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task # Create","reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class","= Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields = '__all__'","template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model =","from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task #","'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class","django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView","= Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task","class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView):","model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name =","reverse_lazy from django.contrib.auth.views import LoginView from .models import Task # Create your views","TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model","import render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import","from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import","True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks'","DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views"],"string":"[\n \"import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user =\",\n \"TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model\",\n \"from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import\",\n \"import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from\",\n \"LoginView from .models import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html'\",\n \"fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields =\",\n \"django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView\",\n \"class TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView):\",\n \"import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from\",\n \"'__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url\",\n \"Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True\",\n \"your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return\",\n \"Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task'\",\n \"from django.shortcuts import render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from\",\n \"# Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def\",\n \"from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView,\",\n \"class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task\",\n \"= 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model\",\n \"UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import\",\n \"success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url =\",\n \".models import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user\",\n \"redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name\",\n \"CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model\",\n \"model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model =\",\n \"get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView):\",\n \"here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class\",\n \"from .models import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__'\",\n \"Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self):\",\n \"class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView):\",\n \"'__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task' success_url = reverse_lazy('tasks')\",\n \"= True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name =\",\n \"context_object_name = 'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url =\",\n \"model = Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields =\",\n \"Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url\",\n \"django.shortcuts import render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit\",\n \"TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields\",\n \"= '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__'\",\n \"model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model =\",\n \"'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model =\",\n \"render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView,\",\n \"django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy\",\n \"def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class\",\n \"context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView):\",\n \"= '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task' success_url =\",\n \"CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models\",\n \"import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task # Create your\",\n \"import LoginView from .models import Task # Create your views here. class CustomLoginView(LoginView):\",\n \"fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task context_object_name='Task' success_url\",\n \"= Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task'\",\n \"views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks')\",\n \"Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name = 'task' class\",\n \"reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model =\",\n \"= reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks')\",\n \"class TaskDetail(DetailView): model = Task context_object_name = 'task' class TaskCreate(CreateView): model = Task\",\n \"= Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model = Task\",\n \"django.contrib.auth.views import LoginView from .models import Task # Create your views here. class\",\n \"import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from\",\n \"ListView from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls\",\n \"TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name\",\n \"DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task\",\n \"fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task\",\n \"return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model\",\n \"= 'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks')\",\n \"Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields\",\n \"from django.contrib.auth.views import LoginView from .models import Task # Create your views here.\",\n \"django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task # Create\",\n \"reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class\",\n \"= Task context_object_name = 'task' class TaskCreate(CreateView): model = Task fields = '__all__'\",\n \"template_name='base/login.html' fiels='__all__' redirect_auhenticated_user = True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model =\",\n \"from django.urls import reverse_lazy from django.contrib.auth.views import LoginView from .models import Task #\",\n \"'task' class TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class\",\n \"django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import LoginView\",\n \"= Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model = Task\",\n \"class TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView):\",\n \"model = Task context_object_name = 'tasks' class TaskDetail(DetailView): model = Task context_object_name =\",\n \"reverse_lazy from django.contrib.auth.views import LoginView from .models import Task # Create your views\",\n \"TaskCreate(CreateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskUpdate(UpdateView): model\",\n \"import render from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.views.generic.edit import\",\n \"from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views import\",\n \"True def get_success_url(self): return reverse_lazy('tasks') class TaskList(ListView): model = Task context_object_name = 'tasks'\",\n \"DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.urls import reverse_lazy from django.contrib.auth.views\"\n]","isConversational":false}}},{"rowIdx":767,"cells":{"ngram":{"kind":"list like","value":["assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert none","assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op","* from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3,","len(result_) == 2 result, none = result_ assert none is None y =","test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op","isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert none is","np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple)","numpy as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL =","<filename>tests/unit_tests/test_nn/test_converters/test_tensorflow/test_Dropout.py import numpy as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import *","np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op =","np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6 def","x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op()","TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op","op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert","+ TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op","= Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert","= np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op)","from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32)","dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op","result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y","x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op =","y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <=","is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert","none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL))","= 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op =","- TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3,","def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op)","assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y -","= Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_)","none = result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result","TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none","from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts():","TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none","np.all(result >= (y - TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op():","4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple)","result, none = result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert",">= (y - TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x","<= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,),","as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6","np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <= (y +","tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert","import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op =","result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none =","= Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_)","= np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <= (y","def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_","= result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >=","Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_,","2 result, none = result_ assert none is None y = np.array([3, 4]).astype(np.float32)","= tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_","np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_","TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op =","== 2 result, none = result_ assert none is None y = np.array([3,","TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32)","test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ =","dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x","tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2","assert len(result_) == 2 result, none = result_ assert none is None y","import numpy as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL","= tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_","import * from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x =","tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2","result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none =","1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op)","(y - TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x =","op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert","tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert","(y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32))","np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_,","= np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert","assert np.all(result >= (y - TOL)) assert np.all(result <= (y + TOL)) def","4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ =","input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x)","= TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result,","tuple) assert len(result_) == 2 result, none = result_ assert none is None","4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <= (y + TOL))","Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) ==","Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) ==","* TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x)","= TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result,","None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result"],"string":"[\n \"assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert none\",\n \"assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op\",\n \"* from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3,\",\n \"len(result_) == 2 result, none = result_ assert none is None y =\",\n \"test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op\",\n \"isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert none is\",\n \"np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple)\",\n \"numpy as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL =\",\n \"<filename>tests/unit_tests/test_nn/test_converters/test_tensorflow/test_Dropout.py import numpy as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import *\",\n \"np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op =\",\n \"np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6 def\",\n \"x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op()\",\n \"TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op\",\n \"op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert\",\n \"+ TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op\",\n \"= Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert\",\n \"= np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op)\",\n \"from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32)\",\n \"dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op\",\n \"result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y\",\n \"x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op =\",\n \"y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <=\",\n \"is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert\",\n \"none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL))\",\n \"= 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op =\",\n \"- TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3,\",\n \"def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op)\",\n \"assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y -\",\n \"= Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_)\",\n \"none = result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result\",\n \"TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none\",\n \"from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts():\",\n \"TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none\",\n \"np.all(result >= (y - TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op():\",\n \"4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple)\",\n \"result, none = result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert\",\n \">= (y - TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x\",\n \"<= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,),\",\n \"as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6\",\n \"np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <= (y +\",\n \"tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert\",\n \"import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op =\",\n \"result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none =\",\n \"= Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_)\",\n \"= np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <= (y\",\n \"def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_\",\n \"= result_ assert none is None y = np.array([3, 4]).astype(np.float32) assert np.all(result >=\",\n \"Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_,\",\n \"2 result, none = result_ assert none is None y = np.array([3, 4]).astype(np.float32)\",\n \"= tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_\",\n \"np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_\",\n \"TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op =\",\n \"== 2 result, none = result_ assert none is None y = np.array([3,\",\n \"TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32)\",\n \"test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ =\",\n \"dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x\",\n \"tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2\",\n \"assert len(result_) == 2 result, none = result_ assert none is None y\",\n \"import numpy as np from dnnv.nn.converters.tensorflow import * from dnnv.nn.operations import * TOL\",\n \"= tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_\",\n \"import * from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x =\",\n \"tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2\",\n \"result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none =\",\n \"1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op)\",\n \"(y - TOL)) assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x =\",\n \"op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert\",\n \"tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert\",\n \"(y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32))\",\n \"np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_,\",\n \"= np.array([3, 4]).astype(np.float32) op = Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert\",\n \"assert np.all(result >= (y - TOL)) assert np.all(result <= (y + TOL)) def\",\n \"4]).astype(np.float32) input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ =\",\n \"input_op = Input((2,), np.dtype(np.float32)) op = Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x)\",\n \"= TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) == 2 result,\",\n \"tuple) assert len(result_) == 2 result, none = result_ assert none is None\",\n \"4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result <= (y + TOL))\",\n \"Dropout(x) tf_op = TensorflowConverter().visit(op) result_ = tf_op() assert isinstance(result_, tuple) assert len(result_) ==\",\n \"Dropout(input_op) tf_op = TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) ==\",\n \"* TOL = 1e-6 def test_Dropout_consts(): x = np.array([3, 4]).astype(np.float32) op = Dropout(x)\",\n \"= TensorflowConverter().visit(op) result_ = tf_op(x) assert isinstance(result_, tuple) assert len(result_) == 2 result,\",\n \"None y = np.array([3, 4]).astype(np.float32) assert np.all(result >= (y - TOL)) assert np.all(result\"\n]","isConversational":false}}},{"rowIdx":768,"cells":{"ngram":{"kind":"list like","value":["# sets a unique port per agent 2. worker.py will begin listening on","SMARTS calls `act()` rpc with observation as input and receives the actions as","mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \"ray\": print( \"You","TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.","= logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server(","to receive server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\")","EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,","agent in an independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen for","if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an agent in an independent process.\")","the Software without restriction, including without limitation the rights # to use, copy,","ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN","person obtaining a copy # of this software and associated documentation files (the","and receives the actions as response from worker.py. \"\"\" import argparse import importlib","if mod == \"ray\": print( \"You need to install the ray dependency using","A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR","SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #","and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination","spawn Agents in their fresh and independent python process. This script is called","OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\" Run an agent in it's","# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies","\"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}),","above copyright notice and this permission notice shall be included in # all",".[camera-obs] first\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py -","This script is called from within SMARTS to instantiate a remote agent. The","need to install the panda3d dependency using pip install -e .[camera-obs] first\" )","dependency using pip install -e .[camera-obs] first\" ) pass # End front-loaded imports","is hereby granted, free of charge, to any person obtaining a copy #","persons to whom the Software is # furnished to do so, subject to","within SMARTS to instantiate a remote agent. The protocal is as follows: 1.","sets a unique port per agent 2. worker.py will begin listening on port","= grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}):","conditions: # # The above copyright notice and this permission notice shall be","INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A","as a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5.","# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE","OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,","documentation files (the \"Software\"), to deal # in the Software without restriction, including","per agent 2. worker.py will begin listening on port 5467. 3. SMARTS connects","in the SMARTS process. To protect and isolate Agents from any pollution of","interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server","to permit persons to whom the Software is # furnished to do so,","ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT,","or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED \"AS","== \"__main__\": parser = argparse.ArgumentParser(\"Run an agent in an independent process.\") parser.add_argument( \"--port\",","notice and this permission notice shall be included in # all copies or","of charge, to any person obtaining a copy # of this software and","main SMARTS process, we spawn Agents in their fresh and independent python process.","simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\",","will begin listening on port 5467. 3. SMARTS connects to (ip, 5467) as","ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an","response from worker.py. \"\"\" import argparse import importlib import logging import os import","\"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod in modules:","and builds the Agent. 6. SMARTS calls `act()` rpc with observation as input","independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen for remote client connections.\",","and this permission notice shall be included in # all copies or substantial","is out of our direct control, we want to avoid any interactions with","some expensive imports as to not block the simulation modules = [ \"smarts.core.utils.pybullet\",","code does is out of our direct control, we want to avoid any","so, subject to the following conditions: # # The above copyright notice and","LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION","input and receives the actions as response from worker.py. \"\"\" import argparse import","4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves the","stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}),","serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt","modules: try: importlib.import_module(mod) except ImportError: if mod == \"ray\": print( \"You need to","in modules: try: importlib.import_module(mod) except ImportError: if mod == \"ray\": print( \"You need","want to avoid any interactions with global state that might be present in","the `AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()` rpc with","== \"panda3d\": print( \"You need to install the panda3d dependency using pip install","interactions with global state that might be present in the SMARTS process. To","to (ip, 5467) as a client. 4. SMARTS calls `build()` rpc with `AgentSpec`","if mod == \"panda3d\": print( \"You need to install the panda3d dependency using","copy # of this software and associated documentation files (the \"Software\"), to deal","to the following conditions: # # The above copyright notice and this permission","included in # all copies or substantial portions of the Software. # #","client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves","imports as to not block the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\",","the Software. # # THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF","SMARTS process, we spawn Agents in their fresh and independent python process. This","worker.py --port 5467 # sets a unique port per agent 2. worker.py will","and associated documentation files (the \"Software\"), to deal # in the Software without","= argparse.ArgumentParser(\"Run an agent in an independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port","not block the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\",",".[train] first\" ) if mod == \"panda3d\": print( \"You need to install the","any pollution of global state in the main SMARTS process, we spawn Agents","from any pollution of global state in the main SMARTS process, we spawn","Huawei Technologies Co., Ltd. All rights reserved. # # Permission is hereby granted,","worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\")","LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, #","BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN","sublicense, and/or sell # copies of the Software, and to permit persons to","Software is # furnished to do so, subject to the following conditions: #","an independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen for remote client","# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR","calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances","signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\"Worker","CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT","their fresh and independent python process. This script is called from within SMARTS","OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE","as to not block the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\",","\"ray\": print( \"You need to install the ray dependency using pip install -e",") if mod == \"panda3d\": print( \"You need to install the panda3d dependency","using pip install -e .[camera-obs] first\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO)","as follows: 1. SMARTS calls: worker.py --port 5467 # sets a unique port","SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec`","global state that might be present in the SMARTS process. To protect and","pid({os.getpid()})\") def serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server )","stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" )","mod == \"ray\": print( \"You need to install the ray dependency using pip","any interactions with global state that might be present in the SMARTS process.","on port 5467. 3. SMARTS connects to (ip, 5467) as a client. 4.","logging import os import signal import sys from concurrent import futures import grpc","parser = argparse.ArgumentParser(\"Run an agent in an independent process.\") parser.add_argument( \"--port\", type=int, required=True,","that might be present in the SMARTS process. To protect and isolate Agents","server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__ == \"__main__\": parser","of the Software. # # THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY","to install the panda3d dependency using pip install -e .[camera-obs] first\" ) pass","# copies of the Software, and to permit persons to whom the Software","\"--port\", type=int, required=True, help=\"Port to listen for remote client connections.\", ) args =","DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR","= \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker -","ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard interrupt and terminate","pollution of global state in the main SMARTS process, we spawn Agents in","to instantiate a remote agent. The protocal is as follows: 1. SMARTS calls:","worker.py will begin listening on port 5467. 3. SMARTS connects to (ip, 5467)","futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports","front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip = \"[::]\"","this permission notice shall be included in # all copies or substantial portions","Ltd. All rights reserved. # # Permission is hereby granted, free of charge,","panda3d dependency using pip install -e .[camera-obs] first\" ) pass # End front-loaded","NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE","software and associated documentation files (the \"Software\"), to deal # in the Software","and independent python process. This script is called from within SMARTS to instantiate","logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(),","follows: 1. SMARTS calls: worker.py --port 5467 # sets a unique port per","WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT","OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN","rpc with observation as input and receives the actions as response from worker.py.","state in the main SMARTS process, we spawn Agents in their fresh and","worker.py recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()`","instances and builds the Agent. 6. SMARTS calls `act()` rpc with observation as","process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen for remote client connections.\", )","and to permit persons to whom the Software is # furnished to do","use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the","# Front-load some expensive imports as to not block the simulation modules =","the following conditions: # # The above copyright notice and this permission notice","python process. This script is called from within SMARTS to instantiate a remote","SMARTS calls: worker.py --port 5467 # sets a unique port per agent 2.","LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND","first\" ) if mod == \"panda3d\": print( \"You need to install the panda3d","# furnished to do so, subject to the following conditions: # # The","the Software, and to permit persons to whom the Software is # furnished","rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell #","the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\",","def serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\")","Received interrupt signal.\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server)","FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF","rights reserved. # # Permission is hereby granted, free of charge, to any","merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to","exited\") if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an agent in an independent","__name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an agent in an independent process.\") parser.add_argument(","OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING","modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\",","install the ray dependency using pip install -e .[train] first\" ) if mod","ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE","in # all copies or substantial portions of the Software. # # THE","is as follows: 1. SMARTS calls: worker.py --port 5467 # sets a unique","first\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\")","process. What Agent code does is out of our direct control, we want","to do so, subject to the following conditions: # # The above copyright","signal import sys from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc,","2. worker.py will begin listening on port 5467. 3. SMARTS connects to (ip,","expensive imports as to not block the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\",","worker.py. \"\"\" import argparse import importlib import logging import os import signal import","actions as response from worker.py. \"\"\" import argparse import importlib import logging import","Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to","remote agent. The protocal is as follows: 1. SMARTS calls: worker.py --port 5467","sys from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer #","Agents in their fresh and independent python process. This script is called from","unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" ) #","out of our direct control, we want to avoid any interactions with global","calls `act()` rpc with observation as input and receives the actions as response","imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip = \"[::]\" server","present in the SMARTS process. To protect and isolate Agents from any pollution","with observation as input and receives the actions as response from worker.py. \"\"\"","Agent. 6. SMARTS calls `act()` rpc with observation as input and receives the","whom the Software is # furnished to do so, subject to the following","CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH","script is called from within SMARTS to instantiate a remote agent. The protocal","free of charge, to any person obtaining a copy # of this software",") pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def","PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT","we spawn Agents in their fresh and independent python process. This script is","copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software,","observation as input and receives the actions as response from worker.py. \"\"\" import","log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard","process. To protect and isolate Agents from any pollution of global state in","as response from worker.py. \"\"\" import argparse import importlib import logging import os","] for mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \"ray\":","without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense,","is # furnished to do so, subject to the following conditions: # #","Software. # # THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY","concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some","signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__ == \"__main__\":","--port 5467 # sets a unique port per agent 2. worker.py will begin","THE SOFTWARE. \"\"\" Run an agent in it's own (independent) process. What Agent","instantiate a remote agent. The protocal is as follows: 1. SMARTS calls: worker.py","-e .[train] first\" ) if mod == \"panda3d\": print( \"You need to install","to deal # in the Software without restriction, including without limitation the rights","to any person obtaining a copy # of this software and associated documentation","import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as","process. This script is called from within SMARTS to instantiate a remote agent.","permission notice shall be included in # all copies or substantial portions of","in the main SMARTS process, we spawn Agents in their fresh and independent","OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #","\"\"\" import argparse import importlib import logging import os import signal import sys","with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and builds the","logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip = \"[::]\" server =","5. worker.py recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS calls","pip install -e .[camera-obs] first\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log","THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN","pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT,","stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\"Worker -","an agent in it's own (independent) process. What Agent code does is out","OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE","FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #","SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES","install the panda3d dependency using pip install -e .[camera-obs] first\" ) pass #","import os import signal import sys from concurrent import futures import grpc from","server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__","import sys from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer","Software, and to permit persons to whom the Software is # furnished to","argparse.ArgumentParser(\"Run an agent in an independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to","might be present in the SMARTS process. To protect and isolate Agents from","WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE.","this software and associated documentation files (the \"Software\"), to deal # in the","signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination()","receives the actions as response from worker.py. \"\"\" import argparse import importlib import","import argparse import importlib import logging import os import signal import sys from","server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug(","6. SMARTS calls `act()` rpc with observation as input and receives the actions","log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker","in an independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen for remote","shall be included in # all copies or substantial portions of the Software.","OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY,","install -e .[train] first\" ) if mod == \"panda3d\": print( \"You need to","granted, free of charge, to any person obtaining a copy # of this","the Agent. 6. SMARTS calls `act()` rpc with observation as input and receives","Server exited\") if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an agent in an","a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py","All rights reserved. # # Permission is hereby granted, free of charge, to","argparse import importlib import logging import os import signal import sys from concurrent","in their fresh and independent python process. This script is called from within","furnished to do so, subject to the following conditions: # # The above","modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and","ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES","1. SMARTS calls: worker.py --port 5467 # sets a unique port per agent","# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,","with global state that might be present in the SMARTS process. To protect","# Permission is hereby granted, free of charge, to any person obtaining a","Agents from any pollution of global state in the main SMARTS process, we","`build()` rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and","the SMARTS process. To protect and isolate Agents from any pollution of global","grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started","IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF","reserved. # # Permission is hereby granted, free of charge, to any person","\"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod in modules: try: importlib.import_module(mod)","SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\" Run","`AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and builds the Agent.","publish, distribute, sublicense, and/or sell # copies of the Software, and to permit","2020. Huawei Technologies Co., Ltd. All rights reserved. # # Permission is hereby","-e .[camera-obs] first\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py","\"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT","pip install -e .[train] first\" ) if mod == \"panda3d\": print( \"You need","an agent in an independent process.\") parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen","OTHER DEALINGS IN # THE SOFTWARE. \"\"\" Run an agent in it's own","be included in # all copies or substantial portions of the Software. #","(independent) process. What Agent code does is out of our direct control, we","unique port per agent 2. worker.py will begin listening on port 5467. 3.","OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION","without restriction, including without limitation the rights # to use, copy, modify, merge,","(C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # # Permission is","ImportError: if mod == \"ray\": print( \"You need to install the ray dependency","of our direct control, we want to avoid any interactions with global state","print( \"You need to install the panda3d dependency using pip install -e .[camera-obs]","to avoid any interactions with global state that might be present in the","the main SMARTS process, we spawn Agents in their fresh and independent python","in the Software without restriction, including without limitation the rights # to use,","PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS","copies of the Software, and to permit persons to whom the Software is","ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker","receive server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if","fresh and independent python process. This script is called from within SMARTS to","- pid({os.getpid()})\") def serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server","required=True, help=\"Port to listen for remote client connections.\", ) args = parser.parse_args() serve(args.port)","own (independent) process. What Agent code does is out of our direct control,","AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR","5467 # sets a unique port per agent 2. worker.py will begin listening","protocal is as follows: 1. SMARTS calls: worker.py --port 5467 # sets a","log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1))","port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}),","grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to","as input and receives the actions as response from worker.py. \"\"\" import argparse","worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def","server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" ) # Catch","obtaining a copy # of this software and associated documentation files (the \"Software\"),","NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE","# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # #","MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL","the actions as response from worker.py. \"\"\" import argparse import importlib import logging","and/or sell # copies of the Software, and to permit persons to whom","try: importlib.import_module(mod) except ImportError: if mod == \"ray\": print( \"You need to install","SMARTS to instantiate a remote agent. The protocal is as follows: 1. SMARTS","# in the Software without restriction, including without limitation the rights # to","- ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker -","input. 5. worker.py recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS","End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip =","the ray dependency using pip install -e .[train] first\" ) if mod ==",") # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) #","TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE","def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\"","IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN #","# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS","ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}),","== \"ray\": print( \"You need to install the ray dependency using pip install","from worker.py. \"\"\" import argparse import importlib import logging import os import signal","\"panda3d\": print( \"You need to install the panda3d dependency using pip install -e","\"ray\", ] for mod in modules: try: importlib.import_module(mod) except ImportError: if mod ==","Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received","- ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run","Technologies Co., Ltd. All rights reserved. # # Permission is hereby granted, free","any person obtaining a copy # of this software and associated documentation files","avoid any interactions with global state that might be present in the SMARTS","# # The above copyright notice and this permission notice shall be included","\"Software\"), to deal # in the Software without restriction, including without limitation the","recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()` rpc","copyright notice and this permission notice shall be included in # all copies","AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE","IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED,","as input. 5. worker.py recieves the `AgentSpec` instances and builds the Agent. 6.","a copy # of this software and associated documentation files (the \"Software\"), to","deal # in the Software without restriction, including without limitation the rights #","it's own (independent) process. What Agent code does is out of our direct","Front-load some expensive imports as to not block the simulation modules = [","port({port}), pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard interrupt and terminate signal","(ip, 5467) as a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as","rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and builds","keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive","signal.\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server)","\"gym\", \"ray\", ] for mod in modules: try: importlib.import_module(mod) except ImportError: if mod","terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal","\"You need to install the ray dependency using pip install -e .[train] first\"","AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #","(the \"Software\"), to deal # in the Software without restriction, including without limitation","IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR","called from within SMARTS to instantiate a remote agent. The protocal is as","= [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\",","\"panda3d\", \"gym\", \"ray\", ] for mod in modules: try: importlib.import_module(mod) except ImportError: if","distribute, sublicense, and/or sell # copies of the Software, and to permit persons","pid({os.getpid()}): Server exited\") if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an agent in","\"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod in modules: try: importlib.import_module(mod) except","server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}),","charge, to any person obtaining a copy # of this software and associated","`act()` rpc with observation as input and receives the actions as response from","agent in it's own (independent) process. What Agent code does is out of","WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO","signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}),","agent. The protocal is as follows: 1. SMARTS calls: worker.py --port 5467 #","parser.add_argument( \"--port\", type=int, required=True, help=\"Port to listen for remote client connections.\", ) args","port per agent 2. worker.py will begin listening on port 5467. 3. SMARTS","port 5467. 3. SMARTS connects to (ip, 5467) as a client. 4. SMARTS","Run an agent in it's own (independent) process. What Agent code does is","WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO","WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED","KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF","to whom the Software is # furnished to do so, subject to the","limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or","isolate Agents from any pollution of global state in the main SMARTS process,","COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER","THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\"","import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not block the","5467. 3. SMARTS connects to (ip, 5467) as a client. 4. SMARTS calls","`AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()` rpc with observation","from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load","for mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \"ray\": print(","import signal import sys from concurrent import futures import grpc from smarts.zoo import","\"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod","process, we spawn Agents in their fresh and independent python process. This script","copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED","from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not","dependency using pip install -e .[train] first\" ) if mod == \"panda3d\": print(","control, we want to avoid any interactions with global state that might be","and isolate Agents from any pollution of global state in the main SMARTS","SOFTWARE. \"\"\" Run an agent in it's own (independent) process. What Agent code","5467) as a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input.","portions of the Software. # # THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT","we want to avoid any interactions with global state that might be present","do so, subject to the following conditions: # # The above copyright notice","DEALINGS IN # THE SOFTWARE. \"\"\" Run an agent in it's own (independent)","termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__ ==","a unique port per agent 2. worker.py will begin listening on port 5467.","USE OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\" Run an agent in","block the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\",","begin listening on port 5467. 3. SMARTS connects to (ip, 5467) as a","type=int, required=True, help=\"Port to listen for remote client connections.\", ) args = parser.parse_args()","except ImportError: if mod == \"ray\": print( \"You need to install the ray","in it's own (independent) process. What Agent code does is out of our","server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0)","THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR","builds the Agent. 6. SMARTS calls `act()` rpc with observation as input and","connects to (ip, 5467) as a client. 4. SMARTS calls `build()` rpc with","permit persons to whom the Software is # furnished to do so, subject","SMARTS process. To protect and isolate Agents from any pollution of global state","Permission is hereby granted, free of charge, to any person obtaining a copy","ray dependency using pip install -e .[train] first\" ) if mod == \"panda3d\":","THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR","3. SMARTS connects to (ip, 5467) as a client. 4. SMARTS calls `build()`","IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT","SMARTS connects to (ip, 5467) as a client. 4. SMARTS calls `build()` rpc","EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,","Software without restriction, including without limitation the rights # to use, copy, modify,","install -e .[camera-obs] first\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log =","need to install the ray dependency using pip install -e .[train] first\" )","What Agent code does is out of our direct control, we want to","# The above copyright notice and this permission notice shall be included in","from within SMARTS to instantiate a remote agent. The protocal is as follows:","# of this software and associated documentation files (the \"Software\"), to deal #","OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR","CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE","\"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for","sell # copies of the Software, and to permit persons to whom the","state that might be present in the SMARTS process. To protect and isolate","import logging import os import signal import sys from concurrent import futures import","substantial portions of the Software. # # THE SOFTWARE IS PROVIDED \"AS IS\",","to not block the simulation modules = [ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\",","# all copies or substantial portions of the Software. # # THE SOFTWARE","log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\") if __name__ == \"__main__\": parser =","[ \"smarts.core.utils.pybullet\", \"smarts.core.utils.sumo\", \"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ]","interrupt signal.\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM,","import importlib import logging import os import signal import sys from concurrent import","restriction, including without limitation the rights # to use, copy, modify, merge, publish,","FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS","os import signal import sys from concurrent import futures import grpc from smarts.zoo","is called from within SMARTS to instantiate a remote agent. The protocal is","# # Permission is hereby granted, free of charge, to any person obtaining","all copies or substantial portions of the Software. # # THE SOFTWARE IS","\"__main__\": parser = argparse.ArgumentParser(\"Run an agent in an independent process.\") parser.add_argument( \"--port\", type=int,","f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard interrupt","To protect and isolate Agents from any pollution of global state in the","\"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod in modules: try:","BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR","OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\" Run an","pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\"Worker - ip({ip}), port({port}), pid({os.getpid()}):","FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE","OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT","PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING","files (the \"Software\"), to deal # in the Software without restriction, including without","# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS","listening on port 5467. 3. SMARTS connects to (ip, 5467) as a client.","# Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait","to install the ray dependency using pip install -e .[train] first\" ) if","the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell","Co., Ltd. All rights reserved. # # Permission is hereby granted, free of","importlib import logging import os import signal import sys from concurrent import futures","\"You need to install the panda3d dependency using pip install -e .[camera-obs] first\"","following conditions: # # The above copyright notice and this permission notice shall","of the Software, and to permit persons to whom the Software is #","importlib.import_module(mod) except ImportError: if mod == \"ray\": print( \"You need to install the","pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port):","protect and isolate Agents from any pollution of global state in the main","worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not block the simulation","\"\"\" Run an agent in it's own (independent) process. What Agent code does","direct control, we want to avoid any interactions with global state that might","The above copyright notice and this permission notice shall be included in #","smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not block","IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR","calls: worker.py --port 5467 # sets a unique port per agent 2. worker.py","independent python process. This script is called from within SMARTS to instantiate a","THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \"\"\" Run an agent","# End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\"worker.py - pid({os.getpid()})\") def serve(port): ip","mod == \"panda3d\": print( \"You need to install the panda3d dependency using pip","\"smarts.core.sumo_road_network\", \"numpy\", \"sklearn\", \"shapely\", \"scipy\", \"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod in","using pip install -e .[train] first\" ) if mod == \"panda3d\": print( \"You","Wait to receive server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server","OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER","# Wait to receive server termination signal server.wait_for_termination() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}):","HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN","including without limitation the rights # to use, copy, modify, merge, publish, distribute,","# THE SOFTWARE. \"\"\" Run an agent in it's own (independent) process. What","Agent code does is out of our direct control, we want to avoid","import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive","print( \"You need to install the ray dependency using pip install -e .[train]","the panda3d dependency using pip install -e .[camera-obs] first\" ) pass # End","The protocal is as follows: 1. SMARTS calls: worker.py --port 5467 # sets","serve(port): ip = \"[::]\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\"{ip}:{port}\") server.start()","# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER","associated documentation files (the \"Software\"), to deal # in the Software without restriction,","IN # THE SOFTWARE. \"\"\" Run an agent in it's own (independent) process.","does is out of our direct control, we want to avoid any interactions","agent 2. worker.py will begin listening on port 5467. 3. SMARTS connects to","hereby granted, free of charge, to any person obtaining a copy # of","of this software and associated documentation files (the \"Software\"), to deal # in","port({port}), pid({os.getpid()}): Server exited\") if __name__ == \"__main__\": parser = argparse.ArgumentParser(\"Run an agent","OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS","\"trimesh\", \"panda3d\", \"gym\", \"ray\", ] for mod in modules: try: importlib.import_module(mod) except ImportError:","Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # # Permission","# # THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,","be present in the SMARTS process. To protect and isolate Agents from any","notice shall be included in # all copies or substantial portions of the","a remote agent. The protocal is as follows: 1. SMARTS calls: worker.py --port","our direct control, we want to avoid any interactions with global state that","NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY","global state in the main SMARTS process, we spawn Agents in their fresh","to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of","worker_servicer # Front-load some expensive imports as to not block the simulation modules","server ) server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum,","the Software is # furnished to do so, subject to the following conditions:","subject to the following conditions: # # The above copyright notice and this",") server.add_insecure_port(f\"{ip}:{port}\") server.start() log.debug(f\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\") def stop_server(unused_signum, unused_frame):","- ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\" ) # Catch keyboard interrupt and","of global state in the main SMARTS process, we spawn Agents in their"],"string":"[\n \"# sets a unique port per agent 2. worker.py will begin listening on\",\n \"SMARTS calls `act()` rpc with observation as input and receives the actions as\",\n \"mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\": print( \\\"You\",\n \"TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\",\n \"= logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server(\",\n \"to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\")\",\n \"EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\",\n \"agent in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen for\",\n \"if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\")\",\n \"the Software without restriction, including without limitation the rights # to use, copy,\",\n \"ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN\",\n \"person obtaining a copy # of this software and associated documentation files (the\",\n \"and receives the actions as response from worker.py. \\\"\\\"\\\" import argparse import importlib\",\n \"if mod == \\\"ray\\\": print( \\\"You need to install the ray dependency using\",\n \"A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR\",\n \"SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #\",\n \"and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination\",\n \"spawn Agents in their fresh and independent python process. This script is called\",\n \"OR OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run an agent in it's\",\n \"# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies\",\n \"\\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}),\",\n \"above copyright notice and this permission notice shall be included in # all\",\n \".[camera-obs] first\\\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py -\",\n \"This script is called from within SMARTS to instantiate a remote agent. The\",\n \"need to install the panda3d dependency using pip install -e .[camera-obs] first\\\" )\",\n \"dependency using pip install -e .[camera-obs] first\\\" ) pass # End front-loaded imports\",\n \"is hereby granted, free of charge, to any person obtaining a copy #\",\n \"persons to whom the Software is # furnished to do so, subject to\",\n \"within SMARTS to instantiate a remote agent. The protocal is as follows: 1.\",\n \"sets a unique port per agent 2. worker.py will begin listening on port\",\n \"= grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}):\",\n \"conditions: # # The above copyright notice and this permission notice shall be\",\n \"INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A\",\n \"as a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5.\",\n \"# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\",\n \"OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,\",\n \"documentation files (the \\\"Software\\\"), to deal # in the Software without restriction, including\",\n \"per agent 2. worker.py will begin listening on port 5467. 3. SMARTS connects\",\n \"in the SMARTS process. To protect and isolate Agents from any pollution of\",\n \"interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server\",\n \"to permit persons to whom the Software is # furnished to do so,\",\n \"ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\",\n \"or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED \\\"AS\",\n \"== \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\") parser.add_argument( \\\"--port\\\",\",\n \"notice and this permission notice shall be included in # all copies or\",\n \"of charge, to any person obtaining a copy # of this software and\",\n \"main SMARTS process, we spawn Agents in their fresh and independent python process.\",\n \"simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\",\",\n \"will begin listening on port 5467. 3. SMARTS connects to (ip, 5467) as\",\n \"ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an\",\n \"response from worker.py. \\\"\\\"\\\" import argparse import importlib import logging import os import\",\n \"\\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in modules:\",\n \"and builds the Agent. 6. SMARTS calls `act()` rpc with observation as input\",\n \"independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen for remote client connections.\\\",\",\n \"and this permission notice shall be included in # all copies or substantial\",\n \"is out of our direct control, we want to avoid any interactions with\",\n \"some expensive imports as to not block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\",\",\n \"code does is out of our direct control, we want to avoid any\",\n \"so, subject to the following conditions: # # The above copyright notice and\",\n \"LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION\",\n \"input and receives the actions as response from worker.py. \\\"\\\"\\\" import argparse import\",\n \"4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves the\",\n \"stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}),\",\n \"serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt\",\n \"modules: try: importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\": print( \\\"You need to\",\n \"in modules: try: importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\": print( \\\"You need\",\n \"want to avoid any interactions with global state that might be present in\",\n \"the `AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()` rpc with\",\n \"== \\\"panda3d\\\": print( \\\"You need to install the panda3d dependency using pip install\",\n \"interactions with global state that might be present in the SMARTS process. To\",\n \"to (ip, 5467) as a client. 4. SMARTS calls `build()` rpc with `AgentSpec`\",\n \"if mod == \\\"panda3d\\\": print( \\\"You need to install the panda3d dependency using\",\n \"copy # of this software and associated documentation files (the \\\"Software\\\"), to deal\",\n \"to the following conditions: # # The above copyright notice and this permission\",\n \"included in # all copies or substantial portions of the Software. # #\",\n \"client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves\",\n \"imports as to not block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\",\",\n \"the Software. # # THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF\",\n \"SMARTS process, we spawn Agents in their fresh and independent python process. This\",\n \"worker.py --port 5467 # sets a unique port per agent 2. worker.py will\",\n \"and associated documentation files (the \\\"Software\\\"), to deal # in the Software without\",\n \"= argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port\",\n \"not block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\",\",\n \".[train] first\\\" ) if mod == \\\"panda3d\\\": print( \\\"You need to install the\",\n \"any pollution of global state in the main SMARTS process, we spawn Agents\",\n \"from any pollution of global state in the main SMARTS process, we spawn\",\n \"Huawei Technologies Co., Ltd. All rights reserved. # # Permission is hereby granted,\",\n \"worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\")\",\n \"LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, #\",\n \"BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN\",\n \"sublicense, and/or sell # copies of the Software, and to permit persons to\",\n \"Software is # furnished to do so, subject to the following conditions: #\",\n \"an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen for remote client\",\n \"# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR\",\n \"calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances\",\n \"signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker\",\n \"CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT\",\n \"their fresh and independent python process. This script is called from within SMARTS\",\n \"OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE\",\n \"as to not block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\",\",\n \"\\\"ray\\\": print( \\\"You need to install the ray dependency using pip install -e\",\n \") if mod == \\\"panda3d\\\": print( \\\"You need to install the panda3d dependency\",\n \"using pip install -e .[camera-obs] first\\\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO)\",\n \"as follows: 1. SMARTS calls: worker.py --port 5467 # sets a unique port\",\n \"SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec`\",\n \"global state that might be present in the SMARTS process. To protect and\",\n \"pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server )\",\n \"stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" )\",\n \"mod == \\\"ray\\\": print( \\\"You need to install the ray dependency using pip\",\n \"any interactions with global state that might be present in the SMARTS process.\",\n \"on port 5467. 3. SMARTS connects to (ip, 5467) as a client. 4.\",\n \"logging import os import signal import sys from concurrent import futures import grpc\",\n \"parser = argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True,\",\n \"that might be present in the SMARTS process. To protect and isolate Agents\",\n \"server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\": parser\",\n \"of the Software. # # THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY\",\n \"to install the panda3d dependency using pip install -e .[camera-obs] first\\\" ) pass\",\n \"# copies of the Software, and to permit persons to whom the Software\",\n \"\\\"--port\\\", type=int, required=True, help=\\\"Port to listen for remote client connections.\\\", ) args =\",\n \"DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\",\n \"= \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker -\",\n \"ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch keyboard interrupt and terminate\",\n \"pollution of global state in the main SMARTS process, we spawn Agents in\",\n \"to instantiate a remote agent. The protocal is as follows: 1. SMARTS calls:\",\n \"worker.py will begin listening on port 5467. 3. SMARTS connects to (ip, 5467)\",\n \"futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports\",\n \"front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\"\",\n \"this permission notice shall be included in # all copies or substantial portions\",\n \"Ltd. All rights reserved. # # Permission is hereby granted, free of charge,\",\n \"panda3d dependency using pip install -e .[camera-obs] first\\\" ) pass # End front-loaded\",\n \"NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE\",\n \"software and associated documentation files (the \\\"Software\\\"), to deal # in the Software\",\n \"and independent python process. This script is called from within SMARTS to instantiate\",\n \"logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(),\",\n \"follows: 1. SMARTS calls: worker.py --port 5467 # sets a unique port per\",\n \"WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT\",\n \"OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\",\n \"rpc with observation as input and receives the actions as response from worker.py.\",\n \"state in the main SMARTS process, we spawn Agents in their fresh and\",\n \"worker.py recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()`\",\n \"instances and builds the Agent. 6. SMARTS calls `act()` rpc with observation as\",\n \"process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen for remote client connections.\\\", )\",\n \"and to permit persons to whom the Software is # furnished to do\",\n \"use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the\",\n \"# Front-load some expensive imports as to not block the simulation modules =\",\n \"the following conditions: # # The above copyright notice and this permission notice\",\n \"python process. This script is called from within SMARTS to instantiate a remote\",\n \"SMARTS calls: worker.py --port 5467 # sets a unique port per agent 2.\",\n \"LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND\",\n \"first\\\" ) if mod == \\\"panda3d\\\": print( \\\"You need to install the panda3d\",\n \"# furnished to do so, subject to the following conditions: # # The\",\n \"the Software, and to permit persons to whom the Software is # furnished\",\n \"rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell #\",\n \"the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\",\",\n \"def serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\")\",\n \"Received interrupt signal.\\\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server)\",\n \"FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF\",\n \"rights reserved. # # Permission is hereby granted, free of charge, to any\",\n \"merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to\",\n \"exited\\\") if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in an independent\",\n \"__name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\") parser.add_argument(\",\n \"OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\",\n \"modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\",\",\n \"install the ray dependency using pip install -e .[train] first\\\" ) if mod\",\n \"ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\",\n \"in # all copies or substantial portions of the Software. # # THE\",\n \"is as follows: 1. SMARTS calls: worker.py --port 5467 # sets a unique\",\n \"first\\\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\")\",\n \"process. What Agent code does is out of our direct control, we want\",\n \"to do so, subject to the following conditions: # # The above copyright\",\n \"signal import sys from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc,\",\n \"2. worker.py will begin listening on port 5467. 3. SMARTS connects to (ip,\",\n \"expensive imports as to not block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\",\",\n \"worker.py. \\\"\\\"\\\" import argparse import importlib import logging import os import signal import\",\n \"actions as response from worker.py. \\\"\\\"\\\" import argparse import importlib import logging import\",\n \"Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to\",\n \"remote agent. The protocal is as follows: 1. SMARTS calls: worker.py --port 5467\",\n \"sys from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer #\",\n \"Agents in their fresh and independent python process. This script is called from\",\n \"unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) #\",\n \"out of our direct control, we want to avoid any interactions with global\",\n \"calls `act()` rpc with observation as input and receives the actions as response\",\n \"imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server\",\n \"present in the SMARTS process. To protect and isolate Agents from any pollution\",\n \"with observation as input and receives the actions as response from worker.py. \\\"\\\"\\\"\",\n \"Agent. 6. SMARTS calls `act()` rpc with observation as input and receives the\",\n \"whom the Software is # furnished to do so, subject to the following\",\n \"CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH\",\n \"script is called from within SMARTS to instantiate a remote agent. The protocal\",\n \"free of charge, to any person obtaining a copy # of this software\",\n \") pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def\",\n \"PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT\",\n \"we spawn Agents in their fresh and independent python process. This script is\",\n \"copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software,\",\n \"observation as input and receives the actions as response from worker.py. \\\"\\\"\\\" import\",\n \"log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch keyboard\",\n \"process. To protect and isolate Agents from any pollution of global state in\",\n \"as response from worker.py. \\\"\\\"\\\" import argparse import importlib import logging import os\",\n \"] for mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\":\",\n \"without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense,\",\n \"is # furnished to do so, subject to the following conditions: # #\",\n \"Software. # # THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY\",\n \"concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some\",\n \"signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\":\",\n \"--port 5467 # sets a unique port per agent 2. worker.py will begin\",\n \"THE SOFTWARE. \\\"\\\"\\\" Run an agent in it's own (independent) process. What Agent\",\n \"instantiate a remote agent. The protocal is as follows: 1. SMARTS calls: worker.py\",\n \"-e .[train] first\\\" ) if mod == \\\"panda3d\\\": print( \\\"You need to install\",\n \"to deal # in the Software without restriction, including without limitation the rights\",\n \"to any person obtaining a copy # of this software and associated documentation\",\n \"import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as\",\n \"process. This script is called from within SMARTS to instantiate a remote agent.\",\n \"permission notice shall be included in # all copies or substantial portions of\",\n \"in the main SMARTS process, we spawn Agents in their fresh and independent\",\n \"OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #\",\n \"\\\"\\\"\\\" import argparse import importlib import logging import os import signal import sys\",\n \"with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and builds the\",\n \"logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server =\",\n \"5. worker.py recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS calls\",\n \"pip install -e .[camera-obs] first\\\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log\",\n \"THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\",\n \"pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT,\",\n \"stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker -\",\n \"an agent in it's own (independent) process. What Agent code does is out\",\n \"OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE\",\n \"FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #\",\n \"SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES\",\n \"install the panda3d dependency using pip install -e .[camera-obs] first\\\" ) pass #\",\n \"import os import signal import sys from concurrent import futures import grpc from\",\n \"server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__\",\n \"import sys from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer\",\n \"Software, and to permit persons to whom the Software is # furnished to\",\n \"argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to\",\n \"might be present in the SMARTS process. To protect and isolate Agents from\",\n \"WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE.\",\n \"this software and associated documentation files (the \\\"Software\\\"), to deal # in the\",\n \"signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination()\",\n \"receives the actions as response from worker.py. \\\"\\\"\\\" import argparse import importlib import\",\n \"import argparse import importlib import logging import os import signal import sys from\",\n \"server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug(\",\n \"6. SMARTS calls `act()` rpc with observation as input and receives the actions\",\n \"log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker\",\n \"in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen for remote\",\n \"shall be included in # all copies or substantial portions of the Software.\",\n \"OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY,\",\n \"install -e .[train] first\\\" ) if mod == \\\"panda3d\\\": print( \\\"You need to\",\n \"granted, free of charge, to any person obtaining a copy # of this\",\n \"the Agent. 6. SMARTS calls `act()` rpc with observation as input and receives\",\n \"Server exited\\\") if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in an\",\n \"a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input. 5. worker.py\",\n \"All rights reserved. # # Permission is hereby granted, free of charge, to\",\n \"argparse import importlib import logging import os import signal import sys from concurrent\",\n \"in their fresh and independent python process. This script is called from within\",\n \"furnished to do so, subject to the following conditions: # # The above\",\n \"modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and\",\n \"ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES\",\n \"1. SMARTS calls: worker.py --port 5467 # sets a unique port per agent\",\n \"# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\",\n \"with global state that might be present in the SMARTS process. To protect\",\n \"# Permission is hereby granted, free of charge, to any person obtaining a\",\n \"Agents from any pollution of global state in the main SMARTS process, we\",\n \"`build()` rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and\",\n \"the SMARTS process. To protect and isolate Agents from any pollution of global\",\n \"grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started\",\n \"IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF\",\n \"reserved. # # Permission is hereby granted, free of charge, to any person\",\n \"\\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in modules: try: importlib.import_module(mod)\",\n \"SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run\",\n \"`AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and builds the Agent.\",\n \"publish, distribute, sublicense, and/or sell # copies of the Software, and to permit\",\n \"2020. Huawei Technologies Co., Ltd. All rights reserved. # # Permission is hereby\",\n \"-e .[camera-obs] first\\\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py\",\n \"\\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT\",\n \"pip install -e .[train] first\\\" ) if mod == \\\"panda3d\\\": print( \\\"You need\",\n \"an agent in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen\",\n \"OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run an agent in it's own\",\n \"be included in # all copies or substantial portions of the Software. #\",\n \"(independent) process. What Agent code does is out of our direct control, we\",\n \"unique port per agent 2. worker.py will begin listening on port 5467. 3.\",\n \"OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION\",\n \"without restriction, including without limitation the rights # to use, copy, modify, merge,\",\n \"(C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # # Permission is\",\n \"ImportError: if mod == \\\"ray\\\": print( \\\"You need to install the ray dependency\",\n \"of our direct control, we want to avoid any interactions with global state\",\n \"print( \\\"You need to install the panda3d dependency using pip install -e .[camera-obs]\",\n \"to avoid any interactions with global state that might be present in the\",\n \"the main SMARTS process, we spawn Agents in their fresh and independent python\",\n \"in the Software without restriction, including without limitation the rights # to use,\",\n \"PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS\",\n \"copies of the Software, and to permit persons to whom the Software is\",\n \"ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker\",\n \"receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if\",\n \"fresh and independent python process. This script is called from within SMARTS to\",\n \"- pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server\",\n \"required=True, help=\\\"Port to listen for remote client connections.\\\", ) args = parser.parse_args() serve(args.port)\",\n \"own (independent) process. What Agent code does is out of our direct control,\",\n \"AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR\",\n \"5467 # sets a unique port per agent 2. worker.py will begin listening\",\n \"protocal is as follows: 1. SMARTS calls: worker.py --port 5467 # sets a\",\n \"log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1))\",\n \"port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}),\",\n \"grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to\",\n \"as input and receives the actions as response from worker.py. \\\"\\\"\\\" import argparse\",\n \"worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def\",\n \"server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch\",\n \"obtaining a copy # of this software and associated documentation files (the \\\"Software\\\"),\",\n \"NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE\",\n \"# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # #\",\n \"MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL\",\n \"the actions as response from worker.py. \\\"\\\"\\\" import argparse import importlib import logging\",\n \"and/or sell # copies of the Software, and to permit persons to whom\",\n \"try: importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\": print( \\\"You need to install\",\n \"SMARTS to instantiate a remote agent. The protocal is as follows: 1. SMARTS\",\n \"# in the Software without restriction, including without limitation the rights # to\",\n \"- ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker -\",\n \"input. 5. worker.py recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS\",\n \"End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip =\",\n \"the ray dependency using pip install -e .[train] first\\\" ) if mod ==\",\n \") # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) #\",\n \"TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE\",\n \"def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\"\",\n \"IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN #\",\n \"# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS\",\n \"ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}),\",\n \"== \\\"ray\\\": print( \\\"You need to install the ray dependency using pip install\",\n \"from worker.py. \\\"\\\"\\\" import argparse import importlib import logging import os import signal\",\n \"\\\"panda3d\\\": print( \\\"You need to install the panda3d dependency using pip install -e\",\n \"\\\"ray\\\", ] for mod in modules: try: importlib.import_module(mod) except ImportError: if mod ==\",\n \"Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received\",\n \"- ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run\",\n \"Technologies Co., Ltd. All rights reserved. # # Permission is hereby granted, free\",\n \"any person obtaining a copy # of this software and associated documentation files\",\n \"avoid any interactions with global state that might be present in the SMARTS\",\n \"# # The above copyright notice and this permission notice shall be included\",\n \"\\\"Software\\\"), to deal # in the Software without restriction, including without limitation the\",\n \"recieves the `AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()` rpc\",\n \"copyright notice and this permission notice shall be included in # all copies\",\n \"AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE\",\n \"IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED,\",\n \"as input. 5. worker.py recieves the `AgentSpec` instances and builds the Agent. 6.\",\n \"a copy # of this software and associated documentation files (the \\\"Software\\\"), to\",\n \"deal # in the Software without restriction, including without limitation the rights #\",\n \"it's own (independent) process. What Agent code does is out of our direct\",\n \"Front-load some expensive imports as to not block the simulation modules = [\",\n \"port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch keyboard interrupt and terminate signal\",\n \"(ip, 5467) as a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as\",\n \"rpc with `AgentSpec` as input. 5. worker.py recieves the `AgentSpec` instances and builds\",\n \"keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive\",\n \"signal.\\\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server)\",\n \"\\\"gym\\\", \\\"ray\\\", ] for mod in modules: try: importlib.import_module(mod) except ImportError: if mod\",\n \"terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal\",\n \"\\\"You need to install the ray dependency using pip install -e .[train] first\\\"\",\n \"AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #\",\n \"(the \\\"Software\\\"), to deal # in the Software without restriction, including without limitation\",\n \"IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR\",\n \"called from within SMARTS to instantiate a remote agent. The protocal is as\",\n \"= [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\",\",\n \"\\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in modules: try: importlib.import_module(mod) except ImportError: if\",\n \"distribute, sublicense, and/or sell # copies of the Software, and to permit persons\",\n \"pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in\",\n \"\\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in modules: try: importlib.import_module(mod) except\",\n \"server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}),\",\n \"charge, to any person obtaining a copy # of this software and associated\",\n \"`act()` rpc with observation as input and receives the actions as response from\",\n \"agent in it's own (independent) process. What Agent code does is out of\",\n \"WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO\",\n \"signal.signal(signal.SIGTERM, stop_server) # Wait to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}),\",\n \"agent. The protocal is as follows: 1. SMARTS calls: worker.py --port 5467 #\",\n \"parser.add_argument( \\\"--port\\\", type=int, required=True, help=\\\"Port to listen for remote client connections.\\\", ) args\",\n \"port per agent 2. worker.py will begin listening on port 5467. 3. SMARTS\",\n \"port 5467. 3. SMARTS connects to (ip, 5467) as a client. 4. SMARTS\",\n \"Run an agent in it's own (independent) process. What Agent code does is\",\n \"WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO\",\n \"WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED\",\n \"KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\",\n \"to whom the Software is # furnished to do so, subject to the\",\n \"limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or\",\n \"isolate Agents from any pollution of global state in the main SMARTS process,\",\n \"COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER\",\n \"THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\"\",\n \"import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not block the\",\n \"5467. 3. SMARTS connects to (ip, 5467) as a client. 4. SMARTS calls\",\n \"`AgentSpec` instances and builds the Agent. 6. SMARTS calls `act()` rpc with observation\",\n \"from concurrent import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load\",\n \"for mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\": print(\",\n \"import signal import sys from concurrent import futures import grpc from smarts.zoo import\",\n \"\\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod\",\n \"process, we spawn Agents in their fresh and independent python process. This script\",\n \"copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED\",\n \"from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not\",\n \"dependency using pip install -e .[train] first\\\" ) if mod == \\\"panda3d\\\": print(\",\n \"control, we want to avoid any interactions with global state that might be\",\n \"and isolate Agents from any pollution of global state in the main SMARTS\",\n \"SOFTWARE. \\\"\\\"\\\" Run an agent in it's own (independent) process. What Agent code\",\n \"5467) as a client. 4. SMARTS calls `build()` rpc with `AgentSpec` as input.\",\n \"portions of the Software. # # THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT\",\n \"we want to avoid any interactions with global state that might be present\",\n \"do so, subject to the following conditions: # # The above copyright notice\",\n \"DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run an agent in it's own (independent)\",\n \"termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__ ==\",\n \"a unique port per agent 2. worker.py will begin listening on port 5467.\",\n \"USE OR OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run an agent in\",\n \"block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\",\",\n \"begin listening on port 5467. 3. SMARTS connects to (ip, 5467) as a\",\n \"type=int, required=True, help=\\\"Port to listen for remote client connections.\\\", ) args = parser.parse_args()\",\n \"except ImportError: if mod == \\\"ray\\\": print( \\\"You need to install the ray\",\n \"in it's own (independent) process. What Agent code does is out of our\",\n \"server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0)\",\n \"THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR\",\n \"builds the Agent. 6. SMARTS calls `act()` rpc with observation as input and\",\n \"connects to (ip, 5467) as a client. 4. SMARTS calls `build()` rpc with\",\n \"permit persons to whom the Software is # furnished to do so, subject\",\n \"SMARTS process. To protect and isolate Agents from any pollution of global state\",\n \"Permission is hereby granted, free of charge, to any person obtaining a copy\",\n \"ray dependency using pip install -e .[train] first\\\" ) if mod == \\\"panda3d\\\":\",\n \"THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\",\n \"3. SMARTS connects to (ip, 5467) as a client. 4. SMARTS calls `build()`\",\n \"IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT\",\n \"SMARTS connects to (ip, 5467) as a client. 4. SMARTS calls `build()` rpc\",\n \"EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\",\n \"Software without restriction, including without limitation the rights # to use, copy, modify,\",\n \"install -e .[camera-obs] first\\\" ) pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log =\",\n \"need to install the ray dependency using pip install -e .[train] first\\\" )\",\n \"What Agent code does is out of our direct control, we want to\",\n \"# The above copyright notice and this permission notice shall be included in\",\n \"from within SMARTS to instantiate a remote agent. The protocal is as follows:\",\n \"# of this software and associated documentation files (the \\\"Software\\\"), to deal #\",\n \"OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR\",\n \"CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE\",\n \"\\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for\",\n \"sell # copies of the Software, and to permit persons to whom the\",\n \"state that might be present in the SMARTS process. To protect and isolate\",\n \"import logging import os import signal import sys from concurrent import futures import\",\n \"substantial portions of the Software. # # THE SOFTWARE IS PROVIDED \\\"AS IS\\\",\",\n \"to not block the simulation modules = [ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\",\",\n \"# all copies or substantial portions of the Software. # # THE SOFTWARE\",\n \"log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\": parser =\",\n \"[ \\\"smarts.core.utils.pybullet\\\", \\\"smarts.core.utils.sumo\\\", \\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ]\",\n \"interrupt signal.\\\" ) # Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM,\",\n \"import importlib import logging import os import signal import sys from concurrent import\",\n \"restriction, including without limitation the rights # to use, copy, modify, merge, publish,\",\n \"FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS\",\n \"os import signal import sys from concurrent import futures import grpc from smarts.zoo\",\n \"is called from within SMARTS to instantiate a remote agent. The protocal is\",\n \"# # Permission is hereby granted, free of charge, to any person obtaining\",\n \"all copies or substantial portions of the Software. # # THE SOFTWARE IS\",\n \"\\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent in an independent process.\\\") parser.add_argument( \\\"--port\\\", type=int,\",\n \"f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch keyboard interrupt\",\n \"To protect and isolate Agents from any pollution of global state in the\",\n \"\\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in modules: try:\",\n \"BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR\",\n \"OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run an\",\n \"pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame): server.stop(0) log.debug( f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}):\",\n \"FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE\",\n \"OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT\",\n \"PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING\",\n \"files (the \\\"Software\\\"), to deal # in the Software without restriction, including without\",\n \"# THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\",\n \"listening on port 5467. 3. SMARTS connects to (ip, 5467) as a client.\",\n \"# Catch keyboard interrupt and terminate signal signal.signal(signal.SIGINT, stop_server) signal.signal(signal.SIGTERM, stop_server) # Wait\",\n \"to install the ray dependency using pip install -e .[train] first\\\" ) if\",\n \"the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\",\n \"Co., Ltd. All rights reserved. # # Permission is hereby granted, free of\",\n \"importlib import logging import os import signal import sys from concurrent import futures\",\n \"\\\"You need to install the panda3d dependency using pip install -e .[camera-obs] first\\\"\",\n \"following conditions: # # The above copyright notice and this permission notice shall\",\n \"of the Software, and to permit persons to whom the Software is #\",\n \"importlib.import_module(mod) except ImportError: if mod == \\\"ray\\\": print( \\\"You need to install the\",\n \"pass # End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port):\",\n \"protect and isolate Agents from any pollution of global state in the main\",\n \"worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not block the simulation\",\n \"\\\"\\\"\\\" Run an agent in it's own (independent) process. What Agent code does\",\n \"direct control, we want to avoid any interactions with global state that might\",\n \"The above copyright notice and this permission notice shall be included in #\",\n \"smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive imports as to not block\",\n \"IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR\",\n \"calls: worker.py --port 5467 # sets a unique port per agent 2. worker.py\",\n \"independent python process. This script is called from within SMARTS to instantiate a\",\n \"THE USE OR OTHER DEALINGS IN # THE SOFTWARE. \\\"\\\"\\\" Run an agent\",\n \"# End front-loaded imports logging.basicConfig(level=logging.INFO) log = logging.getLogger(f\\\"worker.py - pid({os.getpid()})\\\") def serve(port): ip\",\n \"mod == \\\"panda3d\\\": print( \\\"You need to install the panda3d dependency using pip\",\n \"\\\"smarts.core.sumo_road_network\\\", \\\"numpy\\\", \\\"sklearn\\\", \\\"shapely\\\", \\\"scipy\\\", \\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in\",\n \"using pip install -e .[train] first\\\" ) if mod == \\\"panda3d\\\": print( \\\"You\",\n \"Wait to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Server\",\n \"OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER\",\n \"# Wait to receive server termination signal server.wait_for_termination() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}):\",\n \"HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN\",\n \"including without limitation the rights # to use, copy, modify, merge, publish, distribute,\",\n \"# THE SOFTWARE. \\\"\\\"\\\" Run an agent in it's own (independent) process. What\",\n \"Agent code does is out of our direct control, we want to avoid\",\n \"import futures import grpc from smarts.zoo import worker_pb2_grpc, worker_servicer # Front-load some expensive\",\n \"print( \\\"You need to install the ray dependency using pip install -e .[train]\",\n \"the panda3d dependency using pip install -e .[camera-obs] first\\\" ) pass # End\",\n \"The protocal is as follows: 1. SMARTS calls: worker.py --port 5467 # sets\",\n \"serve(port): ip = \\\"[::]\\\" server = grpc.server(futures.ThreadPoolExecutor(max_workers=1)) worker_pb2_grpc.add_WorkerServicer_to_server( worker_servicer.WorkerServicer(), server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start()\",\n \"# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\",\n \"associated documentation files (the \\\"Software\\\"), to deal # in the Software without restriction,\",\n \"IN # THE SOFTWARE. \\\"\\\"\\\" Run an agent in it's own (independent) process.\",\n \"does is out of our direct control, we want to avoid any interactions\",\n \"agent 2. worker.py will begin listening on port 5467. 3. SMARTS connects to\",\n \"hereby granted, free of charge, to any person obtaining a copy # of\",\n \"of this software and associated documentation files (the \\\"Software\\\"), to deal # in\",\n \"port({port}), pid({os.getpid()}): Server exited\\\") if __name__ == \\\"__main__\\\": parser = argparse.ArgumentParser(\\\"Run an agent\",\n \"OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\",\n \"\\\"trimesh\\\", \\\"panda3d\\\", \\\"gym\\\", \\\"ray\\\", ] for mod in modules: try: importlib.import_module(mod) except ImportError:\",\n \"Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # # Permission\",\n \"# # THE SOFTWARE IS PROVIDED \\\"AS IS\\\", WITHOUT WARRANTY OF ANY KIND,\",\n \"be present in the SMARTS process. To protect and isolate Agents from any\",\n \"notice shall be included in # all copies or substantial portions of the\",\n \"a remote agent. The protocal is as follows: 1. SMARTS calls: worker.py --port\",\n \"our direct control, we want to avoid any interactions with global state that\",\n \"NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\",\n \"global state in the main SMARTS process, we spawn Agents in their fresh\",\n \"to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of\",\n \"worker_servicer # Front-load some expensive imports as to not block the simulation modules\",\n \"server ) server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum,\",\n \"the Software is # furnished to do so, subject to the following conditions:\",\n \"subject to the following conditions: # # The above copyright notice and this\",\n \") server.add_insecure_port(f\\\"{ip}:{port}\\\") server.start() log.debug(f\\\"Worker - ip({ip}), port({port}), pid({os.getpid()}): Started serving.\\\") def stop_server(unused_signum, unused_frame):\",\n \"- ip({ip}), port({port}), pid({os.getpid()}): Received interrupt signal.\\\" ) # Catch keyboard interrupt and\",\n \"of global state in the main SMARTS process, we spawn Agents in their\"\n]","isConversational":false}}},{"rowIdx":769,"cells":{"ngram":{"kind":"list like","value":["> 0: # Was stated that payments needed to happen in increments of","Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate =","4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440","(Monthly interest rate x Monthly unpaid balance) Test Case 1: balance = 3329","the end of the month (after the payment for that month is made).","and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment #","the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly","a constant amount that will be paid each month. In this problem, we","= 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance","- (Minimum fixed monthly payment) Updated balance each month = (Monthly unpaid balance)","updatedBalance updatedBalance += interest # Increase month counter month += 1 counter +=","# For 12 months and while balance is not 0... while month <=","a single number which does not change each month, but instead is a","not change each month, but instead is a constant amount that will be","lowest monthly payment that will pay off all debt in under 1 year,","A summary of the required math is found below: Monthly interest rate =","(Minimum fixed monthly payment) Updated balance each month = (Monthly unpaid balance) +","off a credit card balance within 12 months. By a fixed monthly payment,","To reset balance back to actual balance when loop inevitably fails. updatedBalance =","for that month is made). The monthly payment must be a multiple of","/ needed for the evaluation. # Counter optional balance = 3329 annualInterestRate =","that the interest is compounded monthly according to the balance at the end","(Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance) Test Case","become negative using this payment scheme, which is okay. A summary of the","Should Generate: ------------------- Lowest Payment: 360 \"\"\" # Establish variables that we know","# Was stated that payments needed to happen in increments of $10 monthlyPayment","variables contain values as described below: balance - the outstanding balance on the","= (Previous balance) - (Minimum fixed monthly payment) Updated balance each month =","Test Case 2: balance = 4773 annualInterestRate = 0.2 Result Your Code Should","Establish variables that we know / needed for the evaluation. # Counter optional","# To reset balance back to actual balance when loop inevitably fails. updatedBalance","12 months. By a fixed monthly payment, we mean a single number which","all months. Notice that it is possible for the balance to become negative","The monthly payment must be a multiple of $10 and is the same","Result Your Code Should Generate: ------------------- Lowest Payment: 360 \"\"\" # Establish variables","0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3:","monthly payment, we mean a single number which does not change each month,","will not be dealing with a minimum monthly payment rate. The following variables","Payment: 440 Test Case 3: balance = 3926 annualInterestRate = 0.2 Result Your","debt in under 1 year, for example: Lowest Payment: 180 Assume that the","= 0 # Will loop through everything until we find a rate that","3329 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310","actual balance when loop inevitably fails. updatedBalance = balance month = 1 #","months and while balance is not 0... while month <= 12 and updatedBalance","Notice that it is possible for the balance to become negative using this","while updatedBalance > 0: # Was stated that payments needed to happen in","------------------- Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate = 0.2","By a fixed monthly payment, we mean a single number which does not","payment, we mean a single number which does not change each month, but","interest rate as a decimal The program should print out one line: the","Updated balance each month = (Monthly unpaid balance) + (Monthly interest rate x","example: Lowest Payment: 180 Assume that the interest is compounded monthly according to","amount that will be paid each month. In this problem, we will not","1: balance = 3329 annualInterestRate = 0.2 Result Your Code Should Generate: -------------------","# Will loop through everything until we find a rate that will reduce","calculates the minimum fixed monthly payment needed in order pay off a credit","Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance","# -*- coding: utf-8 -*- \"\"\" Now write a program that calculates the","a minimum monthly payment rate. The following variables contain values as described below:","Case 3: balance = 3926 annualInterestRate = 0.2 Result Your Code Should Generate:","> 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the","a multiple of $10 and is the same for all months. Notice that","the evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate =","monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter month += 1","this problem, we will not be dealing with a minimum monthly payment rate.","for the evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate","unpaid balance = (Previous balance) - (Minimum fixed monthly payment) Updated balance each","-*- \"\"\" Now write a program that calculates the minimum fixed monthly payment","annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter = 0 #","happen in increments of $10 monthlyPayment += 10 # To reset balance back","310 Test Case 2: balance = 4773 annualInterestRate = 0.2 Result Your Code","within 12 months. By a fixed monthly payment, we mean a single number","updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound","balance = 4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest","balance when loop inevitably fails. updatedBalance = balance month = 1 # For","Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate = 0.2 Result","found below: Monthly interest rate = (Annual interest rate) / 12.0 Monthly unpaid","0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2:","everything until we find a rate that will reduce updatedBalance to 0. while","should print out one line: the lowest monthly payment that will pay off","outstanding balance on the credit card annualInterestRate - annual interest rate as a","0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest","= 1 # For 12 months and while balance is not 0... while","payment must be a multiple of $10 and is the same for all","under 1 year, for example: Lowest Payment: 180 Assume that the interest is","program should print out one line: the lowest monthly payment that will pay","the required math is found below: Monthly interest rate = (Annual interest rate)","Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate","is found below: Monthly interest rate = (Annual interest rate) / 12.0 Monthly","the minimum fixed monthly payment needed in order pay off a credit card","according to the balance at the end of the month (after the payment","Was stated that payments needed to happen in increments of $10 monthlyPayment +=","months. By a fixed monthly payment, we mean a single number which does","12 monthlyPayment = 0 updatedBalance = balance counter = 0 # Will loop","credit card balance within 12 months. By a fixed monthly payment, we mean","in under 1 year, for example: Lowest Payment: 180 Assume that the interest","a fixed monthly payment, we mean a single number which does not change","we know / needed for the evaluation. # Counter optional balance = 3329","/ 12 monthlyPayment = 0 updatedBalance = balance counter = 0 # Will","Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance","0 # Will loop through everything until we find a rate that will","AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest #","write a program that calculates the minimum fixed monthly payment needed in order","pay off all debt in under 1 year, for example: Lowest Payment: 180","Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance = 3926","------------------- Lowest Payment: 360 \"\"\" # Establish variables that we know / needed","optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment","Case 2: balance = 4773 annualInterestRate = 0.2 Result Your Code Should Generate:","0 updatedBalance = balance counter = 0 # Will loop through everything until","= 4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment:","in increments of $10 monthlyPayment += 10 # To reset balance back to","For 12 months and while balance is not 0... while month <= 12","a credit card balance within 12 months. By a fixed monthly payment, we","0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360 \"\"\" # Establish","= (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance) Test","required math is found below: Monthly interest rate = (Annual interest rate) /","Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly payment) Updated balance","/ 12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly payment)","balance = 3329 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest","440 Test Case 3: balance = 3926 annualInterestRate = 0.2 Result Your Code","Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance =","10 # To reset balance back to actual balance when loop inevitably fails.","variables that we know / needed for the evaluation. # Counter optional balance","through everything until we find a rate that will reduce updatedBalance to 0.","order pay off a credit card balance within 12 months. By a fixed","minimum monthly payment rate. The following variables contain values as described below: balance","\"\"\" Now write a program that calculates the minimum fixed monthly payment needed","that it is possible for the balance to become negative using this payment","= annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter = 0","annual interest rate as a decimal The program should print out one line:","counter month += 1 counter += 1 print(\"Lowest Payment: \", monthlyPayment) print(\"Number of","single number which does not change each month, but instead is a constant","reduce updatedBalance to 0. while updatedBalance > 0: # Was stated that payments","Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate = 0.2 Result","Your Code Should Generate: ------------------- Lowest Payment: 360 \"\"\" # Establish variables that","program that calculates the minimum fixed monthly payment needed in order pay off","rate as a decimal The program should print out one line: the lowest","that month is made). The monthly payment must be a multiple of $10","of $10 monthlyPayment += 10 # To reset balance back to actual balance","interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest","must be a multiple of $10 and is the same for all months.","on the credit card annualInterestRate - annual interest rate as a decimal The","\"\"\" # Establish variables that we know / needed for the evaluation. #","decimal The program should print out one line: the lowest monthly payment that","not be dealing with a minimum monthly payment rate. The following variables contain","annualInterestRate - annual interest rate as a decimal The program should print out","unpaid balance) Test Case 1: balance = 3329 annualInterestRate = 0.2 Result Your","(Previous balance) - (Minimum fixed monthly payment) Updated balance each month = (Monthly","okay. A summary of the required math is found below: Monthly interest rate","instead is a constant amount that will be paid each month. In this","each month, but instead is a constant amount that will be paid each","loop through everything until we find a rate that will reduce updatedBalance to","below: Monthly interest rate = (Annual interest rate) / 12.0 Monthly unpaid balance","payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter","0: # Was stated that payments needed to happen in increments of $10","pay off a credit card balance within 12 months. By a fixed monthly","Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate = 0.2 Result","of the required math is found below: Monthly interest rate = (Annual interest","is made). The monthly payment must be a multiple of $10 and is","monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month","credit card annualInterestRate - annual interest rate as a decimal The program should","monthly payment must be a multiple of $10 and is the same for","to become negative using this payment scheme, which is okay. A summary of","Generate: ------------------- Lowest Payment: 360 \"\"\" # Establish variables that we know /","following variables contain values as described below: balance - the outstanding balance on","problem, we will not be dealing with a minimum monthly payment rate. The","year, for example: Lowest Payment: 180 Assume that the interest is compounded monthly","Test Case 3: balance = 3926 annualInterestRate = 0.2 Result Your Code Should","a program that calculates the minimum fixed monthly payment needed in order pay","month = 1 # For 12 months and while balance is not 0...","with a minimum monthly payment rate. The following variables contain values as described","The program should print out one line: the lowest monthly payment that will","balance counter = 0 # Will loop through everything until we find a","Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate","updatedBalance > 0: # Was stated that payments needed to happen in increments","- annual interest rate as a decimal The program should print out one","# Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate /","Payment: 180 Assume that the interest is compounded monthly according to the balance","made). The monthly payment must be a multiple of $10 and is the","all debt in under 1 year, for example: Lowest Payment: 180 Assume that","inevitably fails. updatedBalance = balance month = 1 # For 12 months and","updatedBalance = balance counter = 0 # Will loop through everything until we","3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance","# Increase month counter month += 1 counter += 1 print(\"Lowest Payment: \",","balance) - (Minimum fixed monthly payment) Updated balance each month = (Monthly unpaid","Compound the interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance","x Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate = 0.2","in order pay off a credit card balance within 12 months. By a","to the balance at the end of the month (after the payment for","balance each month = (Monthly unpaid balance) + (Monthly interest rate x Monthly","Assume that the interest is compounded monthly according to the balance at the","counter = 0 # Will loop through everything until we find a rate","that will be paid each month. In this problem, we will not be","month counter month += 1 counter += 1 print(\"Lowest Payment: \", monthlyPayment) print(\"Number","the lowest monthly payment that will pay off all debt in under 1","payment rate. The following variables contain values as described below: balance - the","while month <= 12 and updatedBalance > 0: # Subtract the ($10*n) amount","= (Annual interest rate) / 12.0 Monthly unpaid balance = (Previous balance) -","the credit card annualInterestRate - annual interest rate as a decimal The program","end of the month (after the payment for that month is made). The","fails. updatedBalance = balance month = 1 # For 12 months and while","#!/usr/bin/env python3 # -*- coding: utf-8 -*- \"\"\" Now write a program that","= 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0","we find a rate that will reduce updatedBalance to 0. while updatedBalance >","minimum fixed monthly payment needed in order pay off a credit card balance","rate = (Annual interest rate) / 12.0 Monthly unpaid balance = (Previous balance)","12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly payment) Updated","annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance =","each month. In this problem, we will not be dealing with a minimum","and while balance is not 0... while month <= 12 and updatedBalance >","Lowest Payment: 180 Assume that the interest is compounded monthly according to the","= 3926 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment:","Case 1: balance = 3329 annualInterestRate = 0.2 Result Your Code Should Generate:","month <= 12 and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance","monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter =","balance is not 0... while month <= 12 and updatedBalance > 0: #","as a decimal The program should print out one line: the lowest monthly","the same for all months. Notice that it is possible for the balance","we will not be dealing with a minimum monthly payment rate. The following","fixed monthly payment needed in order pay off a credit card balance within","Will loop through everything until we find a rate that will reduce updatedBalance","(Annual interest rate) / 12.0 Monthly unpaid balance = (Previous balance) - (Minimum","interest rate) / 12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed","the outstanding balance on the credit card annualInterestRate - annual interest rate as","one line: the lowest monthly payment that will pay off all debt in","annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test","as described below: balance - the outstanding balance on the credit card annualInterestRate","that we know / needed for the evaluation. # Counter optional balance =","Monthly interest rate = (Annual interest rate) / 12.0 Monthly unpaid balance =","paid each month. In this problem, we will not be dealing with a","updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly payment interest =","balance = 3926 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest","constant amount that will be paid each month. In this problem, we will","out one line: the lowest monthly payment that will pay off all debt","balance) Test Case 1: balance = 3329 annualInterestRate = 0.2 Result Your Code","$10 and is the same for all months. Notice that it is possible","3: balance = 3926 annualInterestRate = 0.2 Result Your Code Should Generate: -------------------","12 months and while balance is not 0... while month <= 12 and","possible for the balance to become negative using this payment scheme, which is","= 0 updatedBalance = balance counter = 0 # Will loop through everything","to actual balance when loop inevitably fails. updatedBalance = balance month = 1","is the same for all months. Notice that it is possible for the","month. In this problem, we will not be dealing with a minimum monthly","at the end of the month (after the payment for that month is","= 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case","balance at the end of the month (after the payment for that month","and is the same for all months. Notice that it is possible for","monthly payment rate. The following variables contain values as described below: balance -","payment that will pay off all debt in under 1 year, for example:","will reduce updatedBalance to 0. while updatedBalance > 0: # Was stated that","loop inevitably fails. updatedBalance = balance month = 1 # For 12 months","payment scheme, which is okay. A summary of the required math is found","# Compound the interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance","0... while month <= 12 and updatedBalance > 0: # Subtract the ($10*n)","Lowest Payment: 360 \"\"\" # Establish variables that we know / needed for","0. while updatedBalance > 0: # Was stated that payments needed to happen","month (after the payment for that month is made). The monthly payment must","be paid each month. In this problem, we will not be dealing with","that will pay off all debt in under 1 year, for example: Lowest","+= 10 # To reset balance back to actual balance when loop inevitably","360 \"\"\" # Establish variables that we know / needed for the evaluation.","interest is compounded monthly according to the balance at the end of the","Payment: 310 Test Case 2: balance = 4773 annualInterestRate = 0.2 Result Your","which does not change each month, but instead is a constant amount that","line: the lowest monthly payment that will pay off all debt in under","the interest is compounded monthly according to the balance at the end of","= balance counter = 0 # Will loop through everything until we find","values as described below: balance - the outstanding balance on the credit card","negative using this payment scheme, which is okay. A summary of the required","Increase month counter month += 1 counter += 1 print(\"Lowest Payment: \", monthlyPayment)","3926 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360","12 and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment","month += 1 counter += 1 print(\"Lowest Payment: \", monthlyPayment) print(\"Number of iterations:","is okay. A summary of the required math is found below: Monthly interest","is not 0... while month <= 12 and updatedBalance > 0: # Subtract","that will reduce updatedBalance to 0. while updatedBalance > 0: # Was stated","Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773","increments of $10 monthlyPayment += 10 # To reset balance back to actual","it is possible for the balance to become negative using this payment scheme,","find a rate that will reduce updatedBalance to 0. while updatedBalance > 0:","1 year, for example: Lowest Payment: 180 Assume that the interest is compounded","the balance at the end of the month (after the payment for that","card annualInterestRate - annual interest rate as a decimal The program should print","multiple of $10 and is the same for all months. Notice that it","but instead is a constant amount that will be paid each month. In","= balance month = 1 # For 12 months and while balance is","using this payment scheme, which is okay. A summary of the required math","for example: Lowest Payment: 180 Assume that the interest is compounded monthly according","updatedBalance = balance month = 1 # For 12 months and while balance","monthly payment that will pay off all debt in under 1 year, for","monthly payment) Updated balance each month = (Monthly unpaid balance) + (Monthly interest","payment for that month is made). The monthly payment must be a multiple","Code Should Generate: ------------------- Lowest Payment: 360 \"\"\" # Establish variables that we","balance on the credit card annualInterestRate - annual interest rate as a decimal","month is made). The monthly payment must be a multiple of $10 and","for all months. Notice that it is possible for the balance to become","that calculates the minimum fixed monthly payment needed in order pay off a","payments needed to happen in increments of $10 monthlyPayment += 10 # To","# Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER","1 # For 12 months and while balance is not 0... while month","balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment =","compounded monthly according to the balance at the end of the month (after","is compounded monthly according to the balance at the end of the month","the interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance +=","amount updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly payment interest","to 0. while updatedBalance > 0: # Was stated that payments needed to","know / needed for the evaluation. # Counter optional balance = 3329 annualInterestRate","payment) Updated balance each month = (Monthly unpaid balance) + (Monthly interest rate","of $10 and is the same for all months. Notice that it is","= 3329 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment:","+ (Monthly interest rate x Monthly unpaid balance) Test Case 1: balance =","each month = (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid","fixed monthly payment, we mean a single number which does not change each","month = (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance)","Generate: ------------------- Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate =","making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase","that payments needed to happen in increments of $10 monthlyPayment += 10 #","change each month, but instead is a constant amount that will be paid","balance - the outstanding balance on the credit card annualInterestRate - annual interest","python3 # -*- coding: utf-8 -*- \"\"\" Now write a program that calculates","when loop inevitably fails. updatedBalance = balance month = 1 # For 12","will be paid each month. In this problem, we will not be dealing","will pay off all debt in under 1 year, for example: Lowest Payment:","# Establish variables that we know / needed for the evaluation. # Counter","1 counter += 1 print(\"Lowest Payment: \", monthlyPayment) print(\"Number of iterations: \", counter)","rate. The following variables contain values as described below: balance - the outstanding","monthly payment needed in order pay off a credit card balance within 12","Payment: 360 \"\"\" # Establish variables that we know / needed for the","a decimal The program should print out one line: the lowest monthly payment","= 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case","contain values as described below: balance - the outstanding balance on the credit","(after the payment for that month is made). The monthly payment must be","dealing with a minimum monthly payment rate. The following variables contain values as","- the outstanding balance on the credit card annualInterestRate - annual interest rate","evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate","balance month = 1 # For 12 months and while balance is not","$10 monthlyPayment += 10 # To reset balance back to actual balance when","updatedBalance to 0. while updatedBalance > 0: # Was stated that payments needed","-*- coding: utf-8 -*- \"\"\" Now write a program that calculates the minimum","does not change each month, but instead is a constant amount that will","interest # Increase month counter month += 1 counter += 1 print(\"Lowest Payment:","balance = (Previous balance) - (Minimum fixed monthly payment) Updated balance each month","back to actual balance when loop inevitably fails. updatedBalance = balance month =","of the month (after the payment for that month is made). The monthly","180 Assume that the interest is compounded monthly according to the balance at","Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance =","be dealing with a minimum monthly payment rate. The following variables contain values","updatedBalance += interest # Increase month counter month += 1 counter += 1","interest rate x Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate","months. Notice that it is possible for the balance to become negative using","is possible for the balance to become negative using this payment scheme, which","+= interest # Increase month counter month += 1 counter += 1 print(\"Lowest","month, but instead is a constant amount that will be paid each month.","rate) / 12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly","annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360 \"\"\"","while balance is not 0... while month <= 12 and updatedBalance > 0:","needed in order pay off a credit card balance within 12 months. By","the payment for that month is made). The monthly payment must be a","= monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter month +=","card balance within 12 months. By a fixed monthly payment, we mean a","rate x Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate =","In this problem, we will not be dealing with a minimum monthly payment","balance back to actual balance when loop inevitably fails. updatedBalance = balance month","needed for the evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2","Test Case 1: balance = 3329 annualInterestRate = 0.2 Result Your Code Should","is a constant amount that will be paid each month. In this problem,","0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter","described below: balance - the outstanding balance on the credit card annualInterestRate -","= 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360 \"\"\" #","be a multiple of $10 and is the same for all months. Notice","same for all months. Notice that it is possible for the balance to","-= monthlyPayment # Compound the interest AFTER making monthly payment interest = monthlyInterestRate","interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter month","------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate = 0.2","which is okay. A summary of the required math is found below: Monthly","balance) + (Monthly interest rate x Monthly unpaid balance) Test Case 1: balance","<= 12 and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -=","number which does not change each month, but instead is a constant amount","monthly according to the balance at the end of the month (after the","utf-8 -*- \"\"\" Now write a program that calculates the minimum fixed monthly","Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER making","not 0... while month <= 12 and updatedBalance > 0: # Subtract the","print out one line: the lowest monthly payment that will pay off all","until we find a rate that will reduce updatedBalance to 0. while updatedBalance","+= 1 counter += 1 print(\"Lowest Payment: \", monthlyPayment) print(\"Number of iterations: \",","payment needed in order pay off a credit card balance within 12 months.","monthlyPayment # Compound the interest AFTER making monthly payment interest = monthlyInterestRate *","balance within 12 months. By a fixed monthly payment, we mean a single","Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12","Now write a program that calculates the minimum fixed monthly payment needed in","reset balance back to actual balance when loop inevitably fails. updatedBalance = balance","unpaid balance) + (Monthly interest rate x Monthly unpaid balance) Test Case 1:","this payment scheme, which is okay. A summary of the required math is","a rate that will reduce updatedBalance to 0. while updatedBalance > 0: #","below: balance - the outstanding balance on the credit card annualInterestRate - annual","($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly payment","2: balance = 4773 annualInterestRate = 0.2 Result Your Code Should Generate: -------------------","* updatedBalance updatedBalance += interest # Increase month counter month += 1 counter","we mean a single number which does not change each month, but instead","mean a single number which does not change each month, but instead is","fixed monthly payment) Updated balance each month = (Monthly unpaid balance) + (Monthly","stated that payments needed to happen in increments of $10 monthlyPayment += 10","monthlyPayment = 0 updatedBalance = balance counter = 0 # Will loop through","monthlyPayment += 10 # To reset balance back to actual balance when loop","scheme, which is okay. A summary of the required math is found below:","interest rate = (Annual interest rate) / 12.0 Monthly unpaid balance = (Previous","balance to become negative using this payment scheme, which is okay. A summary","math is found below: Monthly interest rate = (Annual interest rate) / 12.0","to happen in increments of $10 monthlyPayment += 10 # To reset balance","off all debt in under 1 year, for example: Lowest Payment: 180 Assume","for the balance to become negative using this payment scheme, which is okay.","coding: utf-8 -*- \"\"\" Now write a program that calculates the minimum fixed","the month (after the payment for that month is made). The monthly payment","the balance to become negative using this payment scheme, which is okay. A","summary of the required math is found below: Monthly interest rate = (Annual","rate that will reduce updatedBalance to 0. while updatedBalance > 0: # Was","needed to happen in increments of $10 monthlyPayment += 10 # To reset","The following variables contain values as described below: balance - the outstanding balance","annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test"],"string":"[\n \"> 0: # Was stated that payments needed to happen in increments of\",\n \"Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate =\",\n \"4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440\",\n \"(Monthly interest rate x Monthly unpaid balance) Test Case 1: balance = 3329\",\n \"the end of the month (after the payment for that month is made).\",\n \"and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment #\",\n \"the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly\",\n \"a constant amount that will be paid each month. In this problem, we\",\n \"= 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance\",\n \"- (Minimum fixed monthly payment) Updated balance each month = (Monthly unpaid balance)\",\n \"updatedBalance updatedBalance += interest # Increase month counter month += 1 counter +=\",\n \"# For 12 months and while balance is not 0... while month <=\",\n \"a single number which does not change each month, but instead is a\",\n \"not change each month, but instead is a constant amount that will be\",\n \"lowest monthly payment that will pay off all debt in under 1 year,\",\n \"A summary of the required math is found below: Monthly interest rate =\",\n \"(Minimum fixed monthly payment) Updated balance each month = (Monthly unpaid balance) +\",\n \"off a credit card balance within 12 months. By a fixed monthly payment,\",\n \"To reset balance back to actual balance when loop inevitably fails. updatedBalance =\",\n \"for that month is made). The monthly payment must be a multiple of\",\n \"/ needed for the evaluation. # Counter optional balance = 3329 annualInterestRate =\",\n \"that the interest is compounded monthly according to the balance at the end\",\n \"(Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance) Test Case\",\n \"become negative using this payment scheme, which is okay. A summary of the\",\n \"Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish variables that we know\",\n \"# Was stated that payments needed to happen in increments of $10 monthlyPayment\",\n \"variables contain values as described below: balance - the outstanding balance on the\",\n \"= (Previous balance) - (Minimum fixed monthly payment) Updated balance each month =\",\n \"Test Case 2: balance = 4773 annualInterestRate = 0.2 Result Your Code Should\",\n \"Establish variables that we know / needed for the evaluation. # Counter optional\",\n \"# To reset balance back to actual balance when loop inevitably fails. updatedBalance\",\n \"12 months. By a fixed monthly payment, we mean a single number which\",\n \"all months. Notice that it is possible for the balance to become negative\",\n \"The monthly payment must be a multiple of $10 and is the same\",\n \"Result Your Code Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish variables\",\n \"0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3:\",\n \"monthly payment, we mean a single number which does not change each month,\",\n \"will not be dealing with a minimum monthly payment rate. The following variables\",\n \"Payment: 440 Test Case 3: balance = 3926 annualInterestRate = 0.2 Result Your\",\n \"debt in under 1 year, for example: Lowest Payment: 180 Assume that the\",\n \"= 0 # Will loop through everything until we find a rate that\",\n \"3329 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310\",\n \"actual balance when loop inevitably fails. updatedBalance = balance month = 1 #\",\n \"months and while balance is not 0... while month <= 12 and updatedBalance\",\n \"Notice that it is possible for the balance to become negative using this\",\n \"while updatedBalance > 0: # Was stated that payments needed to happen in\",\n \"------------------- Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate = 0.2\",\n \"By a fixed monthly payment, we mean a single number which does not\",\n \"payment, we mean a single number which does not change each month, but\",\n \"interest rate as a decimal The program should print out one line: the\",\n \"Updated balance each month = (Monthly unpaid balance) + (Monthly interest rate x\",\n \"example: Lowest Payment: 180 Assume that the interest is compounded monthly according to\",\n \"amount that will be paid each month. In this problem, we will not\",\n \"1: balance = 3329 annualInterestRate = 0.2 Result Your Code Should Generate: -------------------\",\n \"# Will loop through everything until we find a rate that will reduce\",\n \"calculates the minimum fixed monthly payment needed in order pay off a credit\",\n \"Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\" Now write a program that calculates the\",\n \"a minimum monthly payment rate. The following variables contain values as described below:\",\n \"Case 3: balance = 3926 annualInterestRate = 0.2 Result Your Code Should Generate:\",\n \"> 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the\",\n \"a multiple of $10 and is the same for all months. Notice that\",\n \"the evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate =\",\n \"monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter month += 1\",\n \"this problem, we will not be dealing with a minimum monthly payment rate.\",\n \"for the evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate\",\n \"unpaid balance = (Previous balance) - (Minimum fixed monthly payment) Updated balance each\",\n \"-*- \\\"\\\"\\\" Now write a program that calculates the minimum fixed monthly payment\",\n \"annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter = 0 #\",\n \"happen in increments of $10 monthlyPayment += 10 # To reset balance back\",\n \"310 Test Case 2: balance = 4773 annualInterestRate = 0.2 Result Your Code\",\n \"within 12 months. By a fixed monthly payment, we mean a single number\",\n \"updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound\",\n \"balance = 4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest\",\n \"balance when loop inevitably fails. updatedBalance = balance month = 1 # For\",\n \"Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate = 0.2 Result\",\n \"found below: Monthly interest rate = (Annual interest rate) / 12.0 Monthly unpaid\",\n \"0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2:\",\n \"everything until we find a rate that will reduce updatedBalance to 0. while\",\n \"should print out one line: the lowest monthly payment that will pay off\",\n \"outstanding balance on the credit card annualInterestRate - annual interest rate as a\",\n \"0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest\",\n \"= 1 # For 12 months and while balance is not 0... while\",\n \"payment must be a multiple of $10 and is the same for all\",\n \"under 1 year, for example: Lowest Payment: 180 Assume that the interest is\",\n \"program should print out one line: the lowest monthly payment that will pay\",\n \"the required math is found below: Monthly interest rate = (Annual interest rate)\",\n \"Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate\",\n \"is found below: Monthly interest rate = (Annual interest rate) / 12.0 Monthly\",\n \"the minimum fixed monthly payment needed in order pay off a credit card\",\n \"according to the balance at the end of the month (after the payment\",\n \"Was stated that payments needed to happen in increments of $10 monthlyPayment +=\",\n \"months. By a fixed monthly payment, we mean a single number which does\",\n \"12 monthlyPayment = 0 updatedBalance = balance counter = 0 # Will loop\",\n \"credit card balance within 12 months. By a fixed monthly payment, we mean\",\n \"in under 1 year, for example: Lowest Payment: 180 Assume that the interest\",\n \"a fixed monthly payment, we mean a single number which does not change\",\n \"we know / needed for the evaluation. # Counter optional balance = 3329\",\n \"/ 12 monthlyPayment = 0 updatedBalance = balance counter = 0 # Will\",\n \"Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance\",\n \"0 # Will loop through everything until we find a rate that will\",\n \"AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest #\",\n \"write a program that calculates the minimum fixed monthly payment needed in order\",\n \"pay off all debt in under 1 year, for example: Lowest Payment: 180\",\n \"Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance = 3926\",\n \"------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish variables that we know / needed\",\n \"optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment\",\n \"Case 2: balance = 4773 annualInterestRate = 0.2 Result Your Code Should Generate:\",\n \"0 updatedBalance = balance counter = 0 # Will loop through everything until\",\n \"= 4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment:\",\n \"in increments of $10 monthlyPayment += 10 # To reset balance back to\",\n \"For 12 months and while balance is not 0... while month <= 12\",\n \"a credit card balance within 12 months. By a fixed monthly payment, we\",\n \"0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish\",\n \"= (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance) Test\",\n \"required math is found below: Monthly interest rate = (Annual interest rate) /\",\n \"Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly payment) Updated balance\",\n \"/ 12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly payment)\",\n \"balance = 3329 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest\",\n \"440 Test Case 3: balance = 3926 annualInterestRate = 0.2 Result Your Code\",\n \"Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance =\",\n \"10 # To reset balance back to actual balance when loop inevitably fails.\",\n \"variables that we know / needed for the evaluation. # Counter optional balance\",\n \"through everything until we find a rate that will reduce updatedBalance to 0.\",\n \"order pay off a credit card balance within 12 months. By a fixed\",\n \"minimum monthly payment rate. The following variables contain values as described below: balance\",\n \"\\\"\\\"\\\" Now write a program that calculates the minimum fixed monthly payment needed\",\n \"that it is possible for the balance to become negative using this payment\",\n \"= annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter = 0\",\n \"annual interest rate as a decimal The program should print out one line:\",\n \"counter month += 1 counter += 1 print(\\\"Lowest Payment: \\\", monthlyPayment) print(\\\"Number of\",\n \"single number which does not change each month, but instead is a constant\",\n \"reduce updatedBalance to 0. while updatedBalance > 0: # Was stated that payments\",\n \"Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate = 0.2 Result\",\n \"Your Code Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish variables that\",\n \"program that calculates the minimum fixed monthly payment needed in order pay off\",\n \"rate as a decimal The program should print out one line: the lowest\",\n \"that month is made). The monthly payment must be a multiple of $10\",\n \"of $10 monthlyPayment += 10 # To reset balance back to actual balance\",\n \"interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest\",\n \"must be a multiple of $10 and is the same for all months.\",\n \"on the credit card annualInterestRate - annual interest rate as a decimal The\",\n \"\\\"\\\"\\\" # Establish variables that we know / needed for the evaluation. #\",\n \"decimal The program should print out one line: the lowest monthly payment that\",\n \"not be dealing with a minimum monthly payment rate. The following variables contain\",\n \"annualInterestRate - annual interest rate as a decimal The program should print out\",\n \"unpaid balance) Test Case 1: balance = 3329 annualInterestRate = 0.2 Result Your\",\n \"(Previous balance) - (Minimum fixed monthly payment) Updated balance each month = (Monthly\",\n \"okay. A summary of the required math is found below: Monthly interest rate\",\n \"instead is a constant amount that will be paid each month. In this\",\n \"each month, but instead is a constant amount that will be paid each\",\n \"loop through everything until we find a rate that will reduce updatedBalance to\",\n \"below: Monthly interest rate = (Annual interest rate) / 12.0 Monthly unpaid balance\",\n \"payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter\",\n \"0: # Was stated that payments needed to happen in increments of $10\",\n \"pay off a credit card balance within 12 months. By a fixed monthly\",\n \"Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate = 0.2 Result\",\n \"of the required math is found below: Monthly interest rate = (Annual interest\",\n \"is made). The monthly payment must be a multiple of $10 and is\",\n \"monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month\",\n \"credit card annualInterestRate - annual interest rate as a decimal The program should\",\n \"monthly payment must be a multiple of $10 and is the same for\",\n \"to become negative using this payment scheme, which is okay. A summary of\",\n \"Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish variables that we know /\",\n \"following variables contain values as described below: balance - the outstanding balance on\",\n \"problem, we will not be dealing with a minimum monthly payment rate. The\",\n \"year, for example: Lowest Payment: 180 Assume that the interest is compounded monthly\",\n \"Test Case 3: balance = 3926 annualInterestRate = 0.2 Result Your Code Should\",\n \"a program that calculates the minimum fixed monthly payment needed in order pay\",\n \"month = 1 # For 12 months and while balance is not 0...\",\n \"with a minimum monthly payment rate. The following variables contain values as described\",\n \"The program should print out one line: the lowest monthly payment that will\",\n \"balance counter = 0 # Will loop through everything until we find a\",\n \"Should Generate: ------------------- Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate\",\n \"updatedBalance > 0: # Was stated that payments needed to happen in increments\",\n \"- annual interest rate as a decimal The program should print out one\",\n \"# Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate /\",\n \"Payment: 180 Assume that the interest is compounded monthly according to the balance\",\n \"made). The monthly payment must be a multiple of $10 and is the\",\n \"all debt in under 1 year, for example: Lowest Payment: 180 Assume that\",\n \"inevitably fails. updatedBalance = balance month = 1 # For 12 months and\",\n \"updatedBalance = balance counter = 0 # Will loop through everything until we\",\n \"3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance\",\n \"# Increase month counter month += 1 counter += 1 print(\\\"Lowest Payment: \\\",\",\n \"balance) - (Minimum fixed monthly payment) Updated balance each month = (Monthly unpaid\",\n \"Compound the interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance\",\n \"x Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate = 0.2\",\n \"in order pay off a credit card balance within 12 months. By a\",\n \"to the balance at the end of the month (after the payment for\",\n \"balance each month = (Monthly unpaid balance) + (Monthly interest rate x Monthly\",\n \"Assume that the interest is compounded monthly according to the balance at the\",\n \"counter = 0 # Will loop through everything until we find a rate\",\n \"that will be paid each month. In this problem, we will not be\",\n \"month counter month += 1 counter += 1 print(\\\"Lowest Payment: \\\", monthlyPayment) print(\\\"Number\",\n \"the lowest monthly payment that will pay off all debt in under 1\",\n \"payment rate. The following variables contain values as described below: balance - the\",\n \"while month <= 12 and updatedBalance > 0: # Subtract the ($10*n) amount\",\n \"= (Annual interest rate) / 12.0 Monthly unpaid balance = (Previous balance) -\",\n \"the credit card annualInterestRate - annual interest rate as a decimal The program\",\n \"end of the month (after the payment for that month is made). The\",\n \"fails. updatedBalance = balance month = 1 # For 12 months and while\",\n \"#!/usr/bin/env python3 # -*- coding: utf-8 -*- \\\"\\\"\\\" Now write a program that\",\n \"= 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0\",\n \"we find a rate that will reduce updatedBalance to 0. while updatedBalance >\",\n \"minimum fixed monthly payment needed in order pay off a credit card balance\",\n \"rate = (Annual interest rate) / 12.0 Monthly unpaid balance = (Previous balance)\",\n \"12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly payment) Updated\",\n \"annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance =\",\n \"each month. In this problem, we will not be dealing with a minimum\",\n \"and while balance is not 0... while month <= 12 and updatedBalance >\",\n \"Lowest Payment: 180 Assume that the interest is compounded monthly according to the\",\n \"= 3926 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment:\",\n \"Case 1: balance = 3329 annualInterestRate = 0.2 Result Your Code Should Generate:\",\n \"month <= 12 and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance\",\n \"monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter =\",\n \"balance is not 0... while month <= 12 and updatedBalance > 0: #\",\n \"as a decimal The program should print out one line: the lowest monthly\",\n \"the same for all months. Notice that it is possible for the balance\",\n \"we will not be dealing with a minimum monthly payment rate. The following\",\n \"fixed monthly payment needed in order pay off a credit card balance within\",\n \"Will loop through everything until we find a rate that will reduce updatedBalance\",\n \"(Annual interest rate) / 12.0 Monthly unpaid balance = (Previous balance) - (Minimum\",\n \"interest rate) / 12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed\",\n \"the outstanding balance on the credit card annualInterestRate - annual interest rate as\",\n \"one line: the lowest monthly payment that will pay off all debt in\",\n \"annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test\",\n \"as described below: balance - the outstanding balance on the credit card annualInterestRate\",\n \"that we know / needed for the evaluation. # Counter optional balance =\",\n \"Monthly interest rate = (Annual interest rate) / 12.0 Monthly unpaid balance =\",\n \"paid each month. In this problem, we will not be dealing with a\",\n \"updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly payment interest =\",\n \"balance = 3926 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest\",\n \"constant amount that will be paid each month. In this problem, we will\",\n \"out one line: the lowest monthly payment that will pay off all debt\",\n \"balance) Test Case 1: balance = 3329 annualInterestRate = 0.2 Result Your Code\",\n \"$10 and is the same for all months. Notice that it is possible\",\n \"3: balance = 3926 annualInterestRate = 0.2 Result Your Code Should Generate: -------------------\",\n \"12 months and while balance is not 0... while month <= 12 and\",\n \"possible for the balance to become negative using this payment scheme, which is\",\n \"= 0 updatedBalance = balance counter = 0 # Will loop through everything\",\n \"to actual balance when loop inevitably fails. updatedBalance = balance month = 1\",\n \"is the same for all months. Notice that it is possible for the\",\n \"month. In this problem, we will not be dealing with a minimum monthly\",\n \"at the end of the month (after the payment for that month is\",\n \"= 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case\",\n \"balance at the end of the month (after the payment for that month\",\n \"and is the same for all months. Notice that it is possible for\",\n \"monthly payment rate. The following variables contain values as described below: balance -\",\n \"payment that will pay off all debt in under 1 year, for example:\",\n \"will reduce updatedBalance to 0. while updatedBalance > 0: # Was stated that\",\n \"loop inevitably fails. updatedBalance = balance month = 1 # For 12 months\",\n \"payment scheme, which is okay. A summary of the required math is found\",\n \"# Compound the interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance\",\n \"0... while month <= 12 and updatedBalance > 0: # Subtract the ($10*n)\",\n \"Lowest Payment: 360 \\\"\\\"\\\" # Establish variables that we know / needed for\",\n \"0. while updatedBalance > 0: # Was stated that payments needed to happen\",\n \"month (after the payment for that month is made). The monthly payment must\",\n \"be paid each month. In this problem, we will not be dealing with\",\n \"that will pay off all debt in under 1 year, for example: Lowest\",\n \"+= 10 # To reset balance back to actual balance when loop inevitably\",\n \"360 \\\"\\\"\\\" # Establish variables that we know / needed for the evaluation.\",\n \"interest is compounded monthly according to the balance at the end of the\",\n \"Payment: 310 Test Case 2: balance = 4773 annualInterestRate = 0.2 Result Your\",\n \"which does not change each month, but instead is a constant amount that\",\n \"line: the lowest monthly payment that will pay off all debt in under\",\n \"the interest is compounded monthly according to the balance at the end of\",\n \"= balance counter = 0 # Will loop through everything until we find\",\n \"values as described below: balance - the outstanding balance on the credit card\",\n \"negative using this payment scheme, which is okay. A summary of the required\",\n \"Increase month counter month += 1 counter += 1 print(\\\"Lowest Payment: \\\", monthlyPayment)\",\n \"3926 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360\",\n \"12 and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -= monthlyPayment\",\n \"month += 1 counter += 1 print(\\\"Lowest Payment: \\\", monthlyPayment) print(\\\"Number of iterations:\",\n \"is okay. A summary of the required math is found below: Monthly interest\",\n \"is not 0... while month <= 12 and updatedBalance > 0: # Subtract\",\n \"that will reduce updatedBalance to 0. while updatedBalance > 0: # Was stated\",\n \"Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773\",\n \"increments of $10 monthlyPayment += 10 # To reset balance back to actual\",\n \"it is possible for the balance to become negative using this payment scheme,\",\n \"find a rate that will reduce updatedBalance to 0. while updatedBalance > 0:\",\n \"1 year, for example: Lowest Payment: 180 Assume that the interest is compounded\",\n \"the balance at the end of the month (after the payment for that\",\n \"card annualInterestRate - annual interest rate as a decimal The program should print\",\n \"multiple of $10 and is the same for all months. Notice that it\",\n \"but instead is a constant amount that will be paid each month. In\",\n \"= balance month = 1 # For 12 months and while balance is\",\n \"using this payment scheme, which is okay. A summary of the required math\",\n \"for example: Lowest Payment: 180 Assume that the interest is compounded monthly according\",\n \"updatedBalance = balance month = 1 # For 12 months and while balance\",\n \"monthly payment that will pay off all debt in under 1 year, for\",\n \"monthly payment) Updated balance each month = (Monthly unpaid balance) + (Monthly interest\",\n \"payment for that month is made). The monthly payment must be a multiple\",\n \"Code Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" # Establish variables that we\",\n \"balance on the credit card annualInterestRate - annual interest rate as a decimal\",\n \"month is made). The monthly payment must be a multiple of $10 and\",\n \"for all months. Notice that it is possible for the balance to become\",\n \"that calculates the minimum fixed monthly payment needed in order pay off a\",\n \"payments needed to happen in increments of $10 monthlyPayment += 10 # To\",\n \"# Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER\",\n \"1 # For 12 months and while balance is not 0... while month\",\n \"balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment =\",\n \"compounded monthly according to the balance at the end of the month (after\",\n \"is compounded monthly according to the balance at the end of the month\",\n \"the interest AFTER making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance +=\",\n \"amount updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly payment interest\",\n \"to 0. while updatedBalance > 0: # Was stated that payments needed to\",\n \"know / needed for the evaluation. # Counter optional balance = 3329 annualInterestRate\",\n \"payment) Updated balance each month = (Monthly unpaid balance) + (Monthly interest rate\",\n \"of $10 and is the same for all months. Notice that it is\",\n \"= 3329 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment:\",\n \"+ (Monthly interest rate x Monthly unpaid balance) Test Case 1: balance =\",\n \"each month = (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid\",\n \"fixed monthly payment, we mean a single number which does not change each\",\n \"month = (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance)\",\n \"Generate: ------------------- Lowest Payment: 440 Test Case 3: balance = 3926 annualInterestRate =\",\n \"making monthly payment interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase\",\n \"that payments needed to happen in increments of $10 monthlyPayment += 10 #\",\n \"change each month, but instead is a constant amount that will be paid\",\n \"balance - the outstanding balance on the credit card annualInterestRate - annual interest\",\n \"python3 # -*- coding: utf-8 -*- \\\"\\\"\\\" Now write a program that calculates\",\n \"when loop inevitably fails. updatedBalance = balance month = 1 # For 12\",\n \"will be paid each month. In this problem, we will not be dealing\",\n \"will pay off all debt in under 1 year, for example: Lowest Payment:\",\n \"# Establish variables that we know / needed for the evaluation. # Counter\",\n \"1 counter += 1 print(\\\"Lowest Payment: \\\", monthlyPayment) print(\\\"Number of iterations: \\\", counter)\",\n \"rate. The following variables contain values as described below: balance - the outstanding\",\n \"monthly payment needed in order pay off a credit card balance within 12\",\n \"Payment: 360 \\\"\\\"\\\" # Establish variables that we know / needed for the\",\n \"a decimal The program should print out one line: the lowest monthly payment\",\n \"= 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test Case\",\n \"contain values as described below: balance - the outstanding balance on the credit\",\n \"(after the payment for that month is made). The monthly payment must be\",\n \"dealing with a minimum monthly payment rate. The following variables contain values as\",\n \"- the outstanding balance on the credit card annualInterestRate - annual interest rate\",\n \"evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate\",\n \"balance month = 1 # For 12 months and while balance is not\",\n \"$10 monthlyPayment += 10 # To reset balance back to actual balance when\",\n \"updatedBalance to 0. while updatedBalance > 0: # Was stated that payments needed\",\n \"-*- coding: utf-8 -*- \\\"\\\"\\\" Now write a program that calculates the minimum\",\n \"does not change each month, but instead is a constant amount that will\",\n \"interest # Increase month counter month += 1 counter += 1 print(\\\"Lowest Payment:\",\n \"balance = (Previous balance) - (Minimum fixed monthly payment) Updated balance each month\",\n \"back to actual balance when loop inevitably fails. updatedBalance = balance month =\",\n \"of the month (after the payment for that month is made). The monthly\",\n \"180 Assume that the interest is compounded monthly according to the balance at\",\n \"Your Code Should Generate: ------------------- Lowest Payment: 310 Test Case 2: balance =\",\n \"be dealing with a minimum monthly payment rate. The following variables contain values\",\n \"updatedBalance += interest # Increase month counter month += 1 counter += 1\",\n \"interest rate x Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate\",\n \"months. Notice that it is possible for the balance to become negative using\",\n \"is possible for the balance to become negative using this payment scheme, which\",\n \"+= interest # Increase month counter month += 1 counter += 1 print(\\\"Lowest\",\n \"month, but instead is a constant amount that will be paid each month.\",\n \"rate) / 12.0 Monthly unpaid balance = (Previous balance) - (Minimum fixed monthly\",\n \"annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\"\",\n \"while balance is not 0... while month <= 12 and updatedBalance > 0:\",\n \"needed in order pay off a credit card balance within 12 months. By\",\n \"the payment for that month is made). The monthly payment must be a\",\n \"= monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter month +=\",\n \"card balance within 12 months. By a fixed monthly payment, we mean a\",\n \"rate x Monthly unpaid balance) Test Case 1: balance = 3329 annualInterestRate =\",\n \"In this problem, we will not be dealing with a minimum monthly payment\",\n \"balance back to actual balance when loop inevitably fails. updatedBalance = balance month\",\n \"needed for the evaluation. # Counter optional balance = 3329 annualInterestRate = 0.2\",\n \"Test Case 1: balance = 3329 annualInterestRate = 0.2 Result Your Code Should\",\n \"is a constant amount that will be paid each month. In this problem,\",\n \"0.2 monthlyInterestRate = annualInterestRate / 12 monthlyPayment = 0 updatedBalance = balance counter\",\n \"described below: balance - the outstanding balance on the credit card annualInterestRate -\",\n \"= 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 360 \\\"\\\"\\\" #\",\n \"be a multiple of $10 and is the same for all months. Notice\",\n \"same for all months. Notice that it is possible for the balance to\",\n \"-= monthlyPayment # Compound the interest AFTER making monthly payment interest = monthlyInterestRate\",\n \"interest = monthlyInterestRate * updatedBalance updatedBalance += interest # Increase month counter month\",\n \"------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate = 0.2\",\n \"which is okay. A summary of the required math is found below: Monthly\",\n \"balance) + (Monthly interest rate x Monthly unpaid balance) Test Case 1: balance\",\n \"<= 12 and updatedBalance > 0: # Subtract the ($10*n) amount updatedBalance -=\",\n \"number which does not change each month, but instead is a constant amount\",\n \"monthly according to the balance at the end of the month (after the\",\n \"utf-8 -*- \\\"\\\"\\\" Now write a program that calculates the minimum fixed monthly\",\n \"Subtract the ($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER making\",\n \"not 0... while month <= 12 and updatedBalance > 0: # Subtract the\",\n \"print out one line: the lowest monthly payment that will pay off all\",\n \"until we find a rate that will reduce updatedBalance to 0. while updatedBalance\",\n \"+= 1 counter += 1 print(\\\"Lowest Payment: \\\", monthlyPayment) print(\\\"Number of iterations: \\\",\",\n \"payment needed in order pay off a credit card balance within 12 months.\",\n \"monthlyPayment # Compound the interest AFTER making monthly payment interest = monthlyInterestRate *\",\n \"balance within 12 months. By a fixed monthly payment, we mean a single\",\n \"Counter optional balance = 3329 annualInterestRate = 0.2 monthlyInterestRate = annualInterestRate / 12\",\n \"Now write a program that calculates the minimum fixed monthly payment needed in\",\n \"reset balance back to actual balance when loop inevitably fails. updatedBalance = balance\",\n \"unpaid balance) + (Monthly interest rate x Monthly unpaid balance) Test Case 1:\",\n \"this payment scheme, which is okay. A summary of the required math is\",\n \"a rate that will reduce updatedBalance to 0. while updatedBalance > 0: #\",\n \"below: balance - the outstanding balance on the credit card annualInterestRate - annual\",\n \"($10*n) amount updatedBalance -= monthlyPayment # Compound the interest AFTER making monthly payment\",\n \"2: balance = 4773 annualInterestRate = 0.2 Result Your Code Should Generate: -------------------\",\n \"* updatedBalance updatedBalance += interest # Increase month counter month += 1 counter\",\n \"we mean a single number which does not change each month, but instead\",\n \"mean a single number which does not change each month, but instead is\",\n \"fixed monthly payment) Updated balance each month = (Monthly unpaid balance) + (Monthly\",\n \"stated that payments needed to happen in increments of $10 monthlyPayment += 10\",\n \"monthlyPayment = 0 updatedBalance = balance counter = 0 # Will loop through\",\n \"monthlyPayment += 10 # To reset balance back to actual balance when loop\",\n \"scheme, which is okay. A summary of the required math is found below:\",\n \"interest rate = (Annual interest rate) / 12.0 Monthly unpaid balance = (Previous\",\n \"balance to become negative using this payment scheme, which is okay. A summary\",\n \"math is found below: Monthly interest rate = (Annual interest rate) / 12.0\",\n \"to happen in increments of $10 monthlyPayment += 10 # To reset balance\",\n \"off all debt in under 1 year, for example: Lowest Payment: 180 Assume\",\n \"for the balance to become negative using this payment scheme, which is okay.\",\n \"coding: utf-8 -*- \\\"\\\"\\\" Now write a program that calculates the minimum fixed\",\n \"the month (after the payment for that month is made). The monthly payment\",\n \"the balance to become negative using this payment scheme, which is okay. A\",\n \"summary of the required math is found below: Monthly interest rate = (Annual\",\n \"rate that will reduce updatedBalance to 0. while updatedBalance > 0: # Was\",\n \"needed to happen in increments of $10 monthlyPayment += 10 # To reset\",\n \"The following variables contain values as described below: balance - the outstanding balance\",\n \"annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440 Test\"\n]","isConversational":false}}},{"rowIdx":770,"cells":{"ngram":{"kind":"list like","value":["def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" return ''.join(c *","c, v in count: res += c * v return res ### Test","\"\"\" :type s: str :rtype: str \"\"\" freq = collections.defaultdict(int) for c in","freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\"\"]","https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output =","= collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\"\"] *","freq: counts[freq[c]] += c result = \"\" for count in reversed(range(len(counts)-1)): for c","sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item in count_tuple_sorted: res","count: res += c * v return res ### Test case: s=Solution() assert","return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s):","# Time: O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self, s):","s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\"","res = '' for c, v in count: res += c * v","frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output","# https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output","''.join(c * t for c, t in collections.Counter(s).most_common()) # V2 import collections class","== '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\" :type","by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in","t for c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT #","s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output = output","c in s: freq[c] += 1 counts = [\"\"] * (len(s)+1) for c","https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype:","str :rtype: str \"\"\" count = collections.Counter(s).most_common() res = '' for c, v","# V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c","collections.Counter(s).most_common() res = '' for c, v in count: res += c *","return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) ==","str \"\"\" count = collections.Counter(s).most_common() res = '' for c, v in count:","collections class Solution(object): def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python","class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" freq","= sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item in count_tuple_sorted:","# V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def","item[0] * item[1] return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object):","c result = \"\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result","v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a'])","IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t for","output = '' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return","i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' #","v in count: res += c * v return res ### Test case:","frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" freq = collections.defaultdict(int) for","def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common()","[\"\"] * (len(s)+1) for c in freq: counts[freq[c]] += c result = \"\"","count = collections.Counter(s).most_common() res = '' for c, v in count: res +=",": SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \"\"\" :type","class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted =","in s: freq[c] += 1 counts = [\"\"] * (len(s)+1) for c in","\"\"\" :type s: str :rtype: str \"\"\" count = collections.Counter(s).most_common() res = ''","class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" return","t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s): #","import collections class Solution(object): def frequencySort(self, s): # sort Counter by value #","dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item","Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" count =","for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2'","s): \"\"\" :type s: str :rtype: str \"\"\" return ''.join(c * t for","# IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s):","collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted","'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/","key=lambda kv : -kv[1]) res = '' for item in count_tuple_sorted: res +=","for c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self,","O(n) import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype:","count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = ''","* (len(s)+1) for c in freq: counts[freq[c]] += c result = \"\" for","Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i","res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return","import collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count)",":rtype: str \"\"\" freq = collections.defaultdict(int) for c in s: freq[c] += 1","in freq: counts[freq[c]] += c result = \"\" for count in reversed(range(len(counts)-1)): for","count in reversed(range(len(counts)-1)): for c in counts[count]: result += c * count return","assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s):","Solution(object): def frequencySort(self, s): return ''.join(c * t for c, t in collections.Counter(s).most_common())","case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) ==","\"\"\" :type s: str :rtype: str \"\"\" return ''.join(c * t for c,","\"\"\" count = collections.Counter(s).most_common() res = '' for c, v in count: res",": collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t for c,","output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space: O(n)","+= 1 counts = [\"\"] * (len(s)+1) for c in freq: counts[freq[c]] +=","# sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = ''","str :rtype: str \"\"\" freq = collections.defaultdict(int) for c in s: freq[c] +=","value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)):","V2' # Time: O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self,","return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V2 import collections","Time: O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self, s): \"\"\"","c * v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab'","'' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self,","s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1'","http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\"","s: str :rtype: str \"\"\" return ''.join(c * t for c, t in","'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc'","s: freq[c] += 1 counts = [\"\"] * (len(s)+1) for c in freq:","s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','',''])","s): return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V1 #","'' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output #","# IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t","# V2 import collections class Solution(object): def frequencySort(self, s): # sort Counter by","class Solution(object): def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict","+= c result = \"\" for count in reversed(range(len(counts)-1)): for c in counts[count]:","'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == ''","s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c'])","in reversed(range(len(counts)-1)): for c in counts[count]: result += c * count return result","for c in s: freq[c] += 1 counts = [\"\"] * (len(s)+1) for","t in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections","= collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res","collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object):","in count_tuple_sorted: res += item[0] * item[1] return res # V0' # IDEA","assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class","\"\"\" return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V2 import","return output # V2' # Time: O(n) # Space: O(n) import collections class",": -kv[1]) res = '' for item in count_tuple_sorted: res += item[0] *","'' for c, v in count: res += c * v return res",":rtype: str \"\"\" count = collections.Counter(s).most_common() res = '' for c, v in","### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert","= \"\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result += c","'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == ''","s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output =","c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import","+= c * v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) ==",":type s: str :rtype: str \"\"\" freq = collections.defaultdict(int) for c in s:","for item in count_tuple_sorted: res += item[0] * item[1] return res # V0'","= dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for","V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c *","V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self,","Space: O(n) import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s: str","# Space: O(n) import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s:","* item[1] return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def","def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" freq = collections.defaultdict(int)","= output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space:",":rtype: str \"\"\" return ''.join(c * t for c, t in collections.Counter(s).most_common()) #","1 counts = [\"\"] * (len(s)+1) for c in freq: counts[freq[c]] += c","V0 import collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict =","str \"\"\" return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V2","frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv","item in count_tuple_sorted: res += item[0] * item[1] return res # V0' #","class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" count","freq[c] += 1 counts = [\"\"] * (len(s)+1) for c in freq: counts[freq[c]]","for count in reversed(range(len(counts)-1)): for c in counts[count]: result += c * count","IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \"\"\"","output # V2' # Time: O(n) # Space: O(n) import collections class Solution(object):","c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s):","= '' for item in count_tuple_sorted: res += item[0] * item[1] return res","counts = [\"\"] * (len(s)+1) for c in freq: counts[freq[c]] += c result","= [\"\"] * (len(s)+1) for c in freq: counts[freq[c]] += c result =","frequencySort(self, s): return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V1","res = '' for item in count_tuple_sorted: res += item[0] * item[1] return",":type s: str :rtype: str \"\"\" count = collections.Counter(s).most_common() res = '' for","# V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\" :type s: str","return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V1 # IDEA","str :rtype: str \"\"\" return ''.join(c * t for c, t in collections.Counter(s).most_common())","in count: res += c * v return res ### Test case: s=Solution()","item[1] return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self,","''.join(c * t for c, t in collections.Counter(s).most_common()) # V1 # IDEA :","in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class","import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str","\"\"\" freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts =","'' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\" :type s:","def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" count = collections.Counter(s).most_common()","= collections.Counter(s).most_common() res = '' for c, v in count: res += c","in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time:","= '' for c, v in count: res += c * v return","count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1])","class Solution(object): def frequencySort(self, s): return ''.join(c * t for c, t in","* t for c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object):","s: str :rtype: str \"\"\" count = collections.Counter(s).most_common() res = '' for c,","= '' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output","SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s:","collections class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\"","assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert","in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s): # sort","res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a'","output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) #","O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self, s): \"\"\" :type","s): \"\"\" :type s: str :rtype: str \"\"\" freq = collections.defaultdict(int) for c","kv : -kv[1]) res = '' for item in count_tuple_sorted: res += item[0]","V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype:","# V0 import collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict","(s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space: O(n) import collections","for c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548","def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda","* v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert","== 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' #","collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res =","V2 import collections class Solution(object): def frequencySort(self, s): # sort Counter by value","Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" freq =","s: str :rtype: str \"\"\" freq = collections.defaultdict(int) for c in s: freq[c]","'' for item in count_tuple_sorted: res += item[0] * item[1] return res #","res += c * v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c'])","str \"\"\" freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts","collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\"\"] * (len(s)+1)","for c, v in count: res += c * v return res ###","+= item[0] * item[1] return res # V0' # IDEA : collections.Counter(s).most_common class","Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(),","Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c'])","s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv :","s): \"\"\" :type s: str :rtype: str \"\"\" count = collections.Counter(s).most_common() res =","s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([])","s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA'","== 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) ==","frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" return ''.join(c * t","frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" count = collections.Counter(s).most_common() res","assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert","* t for c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT","collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t for c, t","# https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \"\"\" :type s: str","(len(s)+1) for c in freq: counts[freq[c]] += c result = \"\" for count","# http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str","def frequencySort(self, s): return ''.join(c * t for c, t in collections.Counter(s).most_common()) #","+ (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space: O(n) import","= collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output = output +","collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1])","count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item in","range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n)","assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert","counts[freq[c]] += c result = \"\" for count in reversed(range(len(counts)-1)): for c in","Solution(object): def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict =","\"\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result += c *","count_tuple_sorted: res += item[0] * item[1] return res # V0' # IDEA :","result = \"\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result +=","assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' #","res += item[0] * item[1] return res # V0' # IDEA : collections.Counter(s).most_common","== '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def","c in freq: counts[freq[c]] += c result = \"\" for count in reversed(range(len(counts)-1)):","sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for","== 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) ==","for c in freq: counts[freq[c]] += c result = \"\" for count in","s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object):","# V2' # Time: O(n) # Space: O(n) import collections class Solution(object): def",":type s: str :rtype: str \"\"\" return ''.join(c * t for c, t","Solution(object): def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" return ''.join(c","collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s): # sort Counter","-kv[1]) res = '' for item in count_tuple_sorted: res += item[0] * item[1]","t for c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def","== 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) =="],"string":"[\n \"def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" return ''.join(c *\",\n \"c, v in count: res += c * v return res ### Test\",\n \"\\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for c in\",\n \"freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\\\"\\\"]\",\n \"https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output =\",\n \"= collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\\\"\\\"] *\",\n \"freq: counts[freq[c]] += c result = \\\"\\\" for count in reversed(range(len(counts)-1)): for c\",\n \"sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item in count_tuple_sorted: res\",\n \"count: res += c * v return res ### Test case: s=Solution() assert\",\n \"return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s):\",\n \"# Time: O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self, s):\",\n \"s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\"\",\n \"res = '' for c, v in count: res += c * v\",\n \"frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output\",\n \"# https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output\",\n \"''.join(c * t for c, t in collections.Counter(s).most_common()) # V2 import collections class\",\n \"== '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type\",\n \"by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in\",\n \"t for c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT #\",\n \"s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output = output\",\n \"c in s: freq[c] += 1 counts = [\\\"\\\"] * (len(s)+1) for c\",\n \"https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype:\",\n \"str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res = '' for c, v\",\n \"# V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c\",\n \"collections.Counter(s).most_common() res = '' for c, v in count: res += c *\",\n \"return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) ==\",\n \"str \\\"\\\"\\\" count = collections.Counter(s).most_common() res = '' for c, v in count:\",\n \"collections class Solution(object): def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python\",\n \"class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" freq\",\n \"= sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item in count_tuple_sorted:\",\n \"# V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def\",\n \"item[0] * item[1] return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object):\",\n \"c result = \\\"\\\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result\",\n \"v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a'])\",\n \"IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t for\",\n \"output = '' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return\",\n \"i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' #\",\n \"v in count: res += c * v return res ### Test case:\",\n \"frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for\",\n \"def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common()\",\n \"[\\\"\\\"] * (len(s)+1) for c in freq: counts[freq[c]] += c result = \\\"\\\"\",\n \"count = collections.Counter(s).most_common() res = '' for c, v in count: res +=\",\n \": SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type\",\n \"class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted =\",\n \"in s: freq[c] += 1 counts = [\\\"\\\"] * (len(s)+1) for c in\",\n \"\\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res = ''\",\n \"class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" return\",\n \"t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s): #\",\n \"import collections class Solution(object): def frequencySort(self, s): # sort Counter by value #\",\n \"dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item\",\n \"Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" count =\",\n \"for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2'\",\n \"s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" return ''.join(c * t for\",\n \"# IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s):\",\n \"collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted\",\n \"'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/\",\n \"key=lambda kv : -kv[1]) res = '' for item in count_tuple_sorted: res +=\",\n \"for c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self,\",\n \"O(n) import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype:\",\n \"count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = ''\",\n \"* (len(s)+1) for c in freq: counts[freq[c]] += c result = \\\"\\\" for\",\n \"Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i\",\n \"res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return\",\n \"import collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count)\",\n \":rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for c in s: freq[c] += 1\",\n \"in freq: counts[freq[c]] += c result = \\\"\\\" for count in reversed(range(len(counts)-1)): for\",\n \"count in reversed(range(len(counts)-1)): for c in counts[count]: result += c * count return\",\n \"assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s):\",\n \"Solution(object): def frequencySort(self, s): return ''.join(c * t for c, t in collections.Counter(s).most_common())\",\n \"case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) ==\",\n \"\\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" return ''.join(c * t for c,\",\n \"\\\"\\\"\\\" count = collections.Counter(s).most_common() res = '' for c, v in count: res\",\n \": collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t for c,\",\n \"output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space: O(n)\",\n \"+= 1 counts = [\\\"\\\"] * (len(s)+1) for c in freq: counts[freq[c]] +=\",\n \"# sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = ''\",\n \"str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for c in s: freq[c] +=\",\n \"value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)):\",\n \"V2' # Time: O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self,\",\n \"return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V2 import collections\",\n \"Time: O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\"\",\n \"c * v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab'\",\n \"'' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self,\",\n \"s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1'\",\n \"http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\"\",\n \"s: str :rtype: str \\\"\\\"\\\" return ''.join(c * t for c, t in\",\n \"'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc'\",\n \"s: freq[c] += 1 counts = [\\\"\\\"] * (len(s)+1) for c in freq:\",\n \"s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','',''])\",\n \"s): return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V1 #\",\n \"'' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output #\",\n \"# IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t\",\n \"# V2 import collections class Solution(object): def frequencySort(self, s): # sort Counter by\",\n \"class Solution(object): def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict\",\n \"+= c result = \\\"\\\" for count in reversed(range(len(counts)-1)): for c in counts[count]:\",\n \"'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == ''\",\n \"s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c'])\",\n \"in reversed(range(len(counts)-1)): for c in counts[count]: result += c * count return result\",\n \"for c in s: freq[c] += 1 counts = [\\\"\\\"] * (len(s)+1) for\",\n \"t in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections\",\n \"= collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res\",\n \"collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object):\",\n \"in count_tuple_sorted: res += item[0] * item[1] return res # V0' # IDEA\",\n \"assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class\",\n \"\\\"\\\"\\\" return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V2 import\",\n \"return output # V2' # Time: O(n) # Space: O(n) import collections class\",\n \": -kv[1]) res = '' for item in count_tuple_sorted: res += item[0] *\",\n \"'' for c, v in count: res += c * v return res\",\n \":rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res = '' for c, v in\",\n \"### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert\",\n \"= \\\"\\\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result += c\",\n \"'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == ''\",\n \"s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output =\",\n \"c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import\",\n \"+= c * v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) ==\",\n \":type s: str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for c in s:\",\n \"for item in count_tuple_sorted: res += item[0] * item[1] return res # V0'\",\n \"= dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for\",\n \"V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c *\",\n \"V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self,\",\n \"Space: O(n) import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str\",\n \"# Space: O(n) import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s:\",\n \"* item[1] return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def\",\n \"def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int)\",\n \"= output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space:\",\n \":rtype: str \\\"\\\"\\\" return ''.join(c * t for c, t in collections.Counter(s).most_common()) #\",\n \"1 counts = [\\\"\\\"] * (len(s)+1) for c in freq: counts[freq[c]] += c\",\n \"V0 import collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict =\",\n \"str \\\"\\\"\\\" return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V2\",\n \"frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv\",\n \"item in count_tuple_sorted: res += item[0] * item[1] return res # V0' #\",\n \"class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" count\",\n \"freq[c] += 1 counts = [\\\"\\\"] * (len(s)+1) for c in freq: counts[freq[c]]\",\n \"for count in reversed(range(len(counts)-1)): for c in counts[count]: result += c * count\",\n \"IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\"\",\n \"output # V2' # Time: O(n) # Space: O(n) import collections class Solution(object):\",\n \"c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s):\",\n \"= '' for item in count_tuple_sorted: res += item[0] * item[1] return res\",\n \"counts = [\\\"\\\"] * (len(s)+1) for c in freq: counts[freq[c]] += c result\",\n \"= [\\\"\\\"] * (len(s)+1) for c in freq: counts[freq[c]] += c result =\",\n \"frequencySort(self, s): return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V1\",\n \"res = '' for item in count_tuple_sorted: res += item[0] * item[1] return\",\n \":type s: str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res = '' for\",\n \"# V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str\",\n \"return ''.join(c * t for c, t in collections.Counter(s).most_common()) # V1 # IDEA\",\n \"str :rtype: str \\\"\\\"\\\" return ''.join(c * t for c, t in collections.Counter(s).most_common())\",\n \"in count: res += c * v return res ### Test case: s=Solution()\",\n \"item[1] return res # V0' # IDEA : collections.Counter(s).most_common class Solution(object): def frequencySort(self,\",\n \"''.join(c * t for c, t in collections.Counter(s).most_common()) # V1 # IDEA :\",\n \"in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class\",\n \"import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str\",\n \"\\\"\\\"\\\" freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts =\",\n \"'' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s:\",\n \"def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common()\",\n \"= collections.Counter(s).most_common() res = '' for c, v in count: res += c\",\n \"in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time:\",\n \"= '' for c, v in count: res += c * v return\",\n \"count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1])\",\n \"class Solution(object): def frequencySort(self, s): return ''.join(c * t for c, t in\",\n \"* t for c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object):\",\n \"s: str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res = '' for c,\",\n \"= '' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output\",\n \"SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s:\",\n \"collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\"\",\n \"assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert\",\n \"in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s): # sort\",\n \"res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a'\",\n \"output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) #\",\n \"O(n) # Space: O(n) import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type\",\n \"s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for c\",\n \"kv : -kv[1]) res = '' for item in count_tuple_sorted: res += item[0]\",\n \"V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype:\",\n \"# V0 import collections class Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict\",\n \"(s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space: O(n) import collections\",\n \"for c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT # https://blog.csdn.net/fuxuemingzhu/article/details/79437548\",\n \"def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda\",\n \"* v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert\",\n \"== 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' #\",\n \"collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res =\",\n \"V2 import collections class Solution(object): def frequencySort(self, s): # sort Counter by value\",\n \"Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" freq =\",\n \"s: str :rtype: str \\\"\\\"\\\" freq = collections.defaultdict(int) for c in s: freq[c]\",\n \"'' for item in count_tuple_sorted: res += item[0] * item[1] return res #\",\n \"res += c * v return res ### Test case: s=Solution() assert s.frequencySort(['a','b','c','c'])\",\n \"str \\\"\\\"\\\" freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts\",\n \"collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\\\"\\\"] * (len(s)+1)\",\n \"for c, v in count: res += c * v return res ###\",\n \"+= item[0] * item[1] return res # V0' # IDEA : collections.Counter(s).most_common class\",\n \"Solution(object): def frequencySort(self, s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(),\",\n \"Test case: s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c'])\",\n \"s): count = collections.Counter(s) count_dict = dict(count) count_tuple_sorted = sorted(count_dict.items(), key=lambda kv :\",\n \"s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res =\",\n \"s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([])\",\n \"s=Solution() assert s.frequencySort(['a','b','c','c']) == 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA'\",\n \"== 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) ==\",\n \"frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" return ''.join(c * t\",\n \"frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" count = collections.Counter(s).most_common() res\",\n \"assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert\",\n \"* t for c, t in collections.Counter(s).most_common()) # V1 # IDEA : SORT\",\n \"collections.Counter(s).most_common class Solution(object): def frequencySort(self, s): return ''.join(c * t for c, t\",\n \"# https://blog.csdn.net/fuxuemingzhu/article/details/79437548 import collections class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str\",\n \"(len(s)+1) for c in freq: counts[freq[c]] += c result = \\\"\\\" for count\",\n \"# http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str\",\n \"def frequencySort(self, s): return ''.join(c * t for c, t in collections.Counter(s).most_common()) #\",\n \"+ (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n) # Space: O(n) import\",\n \"= collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output = output +\",\n \"collections.Counter(s).most_common() output = '' for i in range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1])\",\n \"count_tuple_sorted = sorted(count_dict.items(), key=lambda kv : -kv[1]) res = '' for item in\",\n \"range(len(s_freq_dict)): output = output + (s_freq_dict[i][0]*s_freq_dict[i][1]) return output # V2' # Time: O(n)\",\n \"assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert\",\n \"counts[freq[c]] += c result = \\\"\\\" for count in reversed(range(len(counts)-1)): for c in\",\n \"Solution(object): def frequencySort(self, s): # sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict =\",\n \"\\\"\\\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result += c *\",\n \"count_tuple_sorted: res += item[0] * item[1] return res # V0' # IDEA :\",\n \"result = \\\"\\\" for count in reversed(range(len(counts)-1)): for c in counts[count]: result +=\",\n \"assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' #\",\n \"res += item[0] * item[1] return res # V0' # IDEA : collections.Counter(s).most_common\",\n \"== '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object): def\",\n \"c in freq: counts[freq[c]] += c result = \\\"\\\" for count in reversed(range(len(counts)-1)):\",\n \"sort Counter by value # https://stackoverflow.com/questions/20950650/how-to-sort-counter-by-value-python s_freq_dict = collections.Counter(s).most_common() output = '' for\",\n \"== 'ccaA' assert s.frequencySort(['c','c','c']) == 'ccc' assert s.frequencySort([]) == '' assert s.frequencySort(['','','']) ==\",\n \"for c in freq: counts[freq[c]] += c result = \\\"\\\" for count in\",\n \"s.frequencySort([]) == '' assert s.frequencySort(['','','']) == '' # V1' # http://bookshadow.com/weblog/2016/11/02/leetcode-sort-characters-by-frequency/ class Solution(object):\",\n \"# V2' # Time: O(n) # Space: O(n) import collections class Solution(object): def\",\n \":type s: str :rtype: str \\\"\\\"\\\" return ''.join(c * t for c, t\",\n \"Solution(object): def frequencySort(self, s): \\\"\\\"\\\" :type s: str :rtype: str \\\"\\\"\\\" return ''.join(c\",\n \"collections.Counter(s).most_common()) # V2 import collections class Solution(object): def frequencySort(self, s): # sort Counter\",\n \"-kv[1]) res = '' for item in count_tuple_sorted: res += item[0] * item[1]\",\n \"t for c, t in collections.Counter(s).most_common()) # V2 import collections class Solution(object): def\",\n \"== 'ccab' assert s.frequencySort(['a']) == 'a' assert s.frequencySort(['a','A','c','c']) == 'ccaA' assert s.frequencySort(['c','c','c']) ==\"\n]","isConversational":false}}},{"rowIdx":771,"cells":{"ngram":{"kind":"list like","value":["0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0;","class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html += \"\"\"","generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange between two speakers.</p> <p>Your task is","<!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet","<html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables the","\"</tr>\" html += \"\"\" </table> </div> \"\"\" return html, num_targets def generate_2choice_instructions(): return","<script> $(function() { var col, el; $(\"input[type=radio]\").click(function() { // Make sure only one","</table> <br/> <p>In this case, the first response is better as it directly","speaker = 'A' if speaker == 'B' else 'B' html = \"\"\" <br/>","+= \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a row of","0: target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets =","<tr> <th></th> \"\"\" % example.source_line for idx in range(num_targets): if idx == 0:","every question before you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value","question, so you should click the bubble next to it.</p> <h3>You must click","= len(target_indices) html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4>","padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel {","= $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){","both responses are equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i","row of radio buttons whose length is the number of options. for jdx","else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var","$('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click","you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter","<div class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are being used","rel=\"stylesheet\" /><!-- The following snippet enables the 'responsive' behavior on smaller screens -->","<!-- HTML to handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form'","+= \"\"\" </table> </div> \"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for","question(s) --> \"\"\" + tables_html + \"\"\" <!-- HTML to handle submitting the","smaller screens --> <style> table { border-collapse: collapse; display: block; } td, th","range(num_targets): if idx == 0: tag = 'best' elif idx == num_targets -","get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from","display: block; text-decoration: none; } * { margin: 0; padding: 0; } tr","expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div> </div> </div>","\"\"\" <p>Consider the following exchange between two speakers.</p> <p>Your task is to decide","return \"\", 0 # Find all the non-duplicate target indices. target_indices = [0,","class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key,","<td>It's a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label>","the possible responses by Speaker B from best to worst, where the best","name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html += \"\"\"","// Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click","== example.target_lines[1]: return \"\", 0 # Find all the non-duplicate target indices. target_indices","value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html += \"\"\" </table> </div> \"\"\"","</tr>\"\"\" % (example.key, example.key) html += \"\"\" </table> </div> \"\"\" return html, 1","define your question(s) --> \"\"\" + tables_html + \"\"\" <!-- HTML to handle","checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); }","\"\"\" return html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange between","value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx, jdx, jdx) html += \"</tr>\" html","responses are equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get","Find all the non-duplicate target indices. target_indices = [0, 1] # Randomize the","</label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html += \"\"\" <tr> <td>It's a","return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified","} tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding: 10px","len(target_indices) source_html = '' speaker = 'A' for utterance in example.source_line_utterances(): source_html +=","+ \"\"\" </div> </div> </div> <!-- HTML to handle creating the HIT form","<HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!--","out rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html>","% (tag, idx+1) html += \"</tr>\" for idx in target_indices: html += \"\"\"","$('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible","worst, where the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A:","<label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key,","button when you are finished. You must complete every question before you can","'' speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>'","not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order targets","<input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s)","your question(s) --> \"\"\" + tables_html + \"\"\" <!-- HTML to handle submitting","the second rank 2, and the third rank 3.</p> <h3>You must click the","great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In this","as well as a count of the total number of radio buttons. '''","# Find all the non-duplicate target indices. target_indices = [0, 1] # Randomize","<p>Your task is to rank the possible responses by Speaker B from best","are equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you","def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row index. Returns","to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{","tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\"","in range(num_targets): if idx == 0: tag = 'best' elif idx == num_targets","things said.</p> <p>If both responses are equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker","type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el; $(\"input[type=radio]\").click(function() { // Make","block; } td, th { border: 1px solid #ccc; } th:empty { border:","0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel","tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table> <tr><td>Speaker","radio buttons. ''' # Find all the non-duplicate target indices. target_indices = []","+ cl + \"[data-col=\" + col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\")","say.</td></tr> </table> <br/> <p>In this case, the first response should be given rank","speaker == 'B' else 'B' html = \"\"\" <br/> <div class=\"panel panel-default btn-group\">","shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In this","= $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var","Add a row of radio buttons whose length is the number of options.","= el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\"","said.</p> <p>If both responses are equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A:","the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you","between Speakers A and B.</p> <p>Your task is to rank the possible responses","'B' else 'B' html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s <br/>","<br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\" %","<p>Your task is to decide which response sounds better given the previous things","the HTML for a table of radio buttons used for ranking, as well","shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\" <br/> <div class=\"panel panel-default","the previous things said.</p> <p>If both responses are equally good, click \"It's a","($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else {","buttons are checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\" ) {","shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A' for","<br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table> <tr><td>Speaker","col = el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl +","} </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function()","$(\"input.\" + cl + \"[data-col=\" + col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true);","Twitter exchanges between Speakers A and B.</p> <p>Your task is to rank the","you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion> \"\"\" return","used to enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong>","<td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\"> <input","target indices. target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if","response should be given rank 1, the second rank 2, and the third","# Add a row of radio buttons whose length is the number of","on smaller screens --> <style> table { border-collapse: collapse; display: block; } td,","Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions +","the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\"","the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the","</table> <br/> <p>In this case, the first response should be given rank 1,","for ranking form for the specified row index. Returns the HTML for a","\"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label","\"\"\" <tr> <td>It's a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\"","utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker =","specified row index. Returns the HTML for a table of radio buttons used","</tr>\"\"\" % (example.key, example.key, target_indices[1]) html += \"\"\" <tr> <td>It's a tie.</td> <td>","coffee would be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table>","or idx == 0: target_indices.append(idx) # Randomize the order targets are shown in.","data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html += \"\"\" </table> </div>","<td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key,","case, the first response is better as it directly answers Speaker A's question,","get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr>","{ margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px;","two speakers.</p> <p>Your task is to decide which response sounds better given the","<br/> <p>In this case, the first response is better as it directly answers","= \"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\" % (source_html)","$(this); col = el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl","possible responses by Speaker B from best to worst, where the best response","<td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a row of radio buttons whose","\"\", 0 # Find all the non-duplicate target indices. target_indices = [0, 1]","\"collapseTrigger\" and \"instructionBody\" are being used to enable expand/collapse feature --> <a class=\"panel-heading\"","'worst' else: tag = '' html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html","html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\" for idx in","HTML to handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'>","and the third rank 3.</p> <h3>You must click the Submit button when you","ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table>","for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent>","jdx, jdx) html += \"</tr>\" html += \"\"\" </table> </div> \"\"\" return html,",">= \"\"\" + str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\",","\"\"\" + str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\");","B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe he missed the","= content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); //","\"\"\" <!-- HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit'","</td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\"","+ \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); });","given the previous things said.</p> <p>If both responses are equally good, click \"It's","(tag, idx+1) html += \"</tr>\" for idx in target_indices: html += \"\"\" <tr>","range(num_targets): html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/>","id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every question before you","source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker","click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter exchanges between","<HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following","html += \"\"\" <tr> <td>It's a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\"","th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } *","'<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker == 'B'","example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/>","<th></th> \"\"\" % example.source_line for idx in range(num_targets): if idx == 0: tag","a count of the total number of radio buttons. ''' # Check for","+= \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td>","better as it directly answers Speaker A's question, so you should click the","can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion> \"\"\" return question_html_value","el = $(this); col = el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\"","screens --> <style> table { border-collapse: collapse; display: block; } td, th {","\"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\"","name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html += \"\"\" </table>","--> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every","instructions + \"\"\" </div> </div> </div> <!-- HTML to handle creating the HIT","%s</td>\"\"\" % (example.target_lines[idx]) # Add a row of radio buttons whose length is","html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row","html\"\"\" import random def generate_2choice_html(example): '''Makes html for ranking form for the specified","btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\" % example.source_line for idx in","btn-group\"> %s <br/> <table> \"\"\" % (source_html) html += \"\"\" <tr> <td>Speaker %s:","- 1: tag = 'worst' else: tag = '' html += '<th align=\"center\">%s<br>%s</th>'","if speaker == 'B' else 'B' html = \"\"\" <br/> <div class=\"panel panel-default","{ border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * {","\"\"\" </div> </div> </div> <!-- HTML to handle creating the HIT form -->","</label> </td> </tr>\"\"\" % (example.key, example.key) html += \"\"\" </table> </div> \"\"\" return","\"</tr>\" for idx in target_indices: html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" %","block; text-decoration: none; } * { margin: 0; padding: 0; } tr td:nth-child(1)","tag = 'best' elif idx == num_targets - 1: tag = 'worst' else:","+= \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td>","html for ranking form for the specified row index. Returns the HTML for","html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label>","for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker","{ $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() { //","whose length is the number of options. for jdx in range(num_targets): html +=","great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I","total number of radio buttons. ''' # Find all the non-duplicate target indices.","to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head>","from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can","type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html +=","A and B.</p> <p>Your task is to rank the possible responses by Speaker","and B.</p> <p>Your task is to rank the possible responses by Speaker B","enabled per column. el = $(this); col = el.data(\"col\"); cl = el.attr(\"class\"); //if","the bubble next to it.</p> <h3>You must click the Submit button when you","$('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse });","} }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div","len(target_indices) html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table>","{ // Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show();","html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a row","class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\" % (source_html) html += \"\"\" <tr>","a row of radio buttons whose length is the number of options. for","// Only enable submit if enough radio buttons are checked. if ($('input:radio:checked').length >=","html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\"","{ border: 1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff;","<tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't","tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link","\"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit if enough radio","trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible');","\"\"\" + instructions + \"\"\" </div> </div> </div> <!-- HTML to handle creating","for duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\", 0 # Find all the","idx, jdx, jdx) html += \"</tr>\" html += \"\"\" </table> </div> \"\"\" return","the number of options. for jdx in range(num_targets): html += \"\"\" <td> <label","<h4>You must fill out rankings for every question before you can submit.</h4> <script","jdx) html += \"</tr>\" html += \"\"\" </table> </div> \"\"\" return html, num_targets","and \"instructionBody\" are being used to enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\"","border: 1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display:","$('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)');","margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; }","example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if","cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know","target_indices: html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a","charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el; $(\"input[type=radio]\").click(function()","a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table>","return \"\"\" <p>Consider the following Twitter exchanges between Speakers A and B.</p> <p>Your","el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit if enough radio buttons are checked.","\"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" %","th { border: 1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{","id='assignmentId'/> <!-- This is where you define your question(s) --> \"\"\" + tables_html","else: tag = '' html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html +=","crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables the 'responsive' behavior on","don't know what to say.</td></tr> </table> <br/> <p>In this case, the first response","first response should be given rank 1, the second rank 2, and the","non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx]","<title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\">","#ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none;","You must complete every question before you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions():","</head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING: the","col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\"","should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something","good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from","false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit if enough radio buttons","from best to worst, where the best response should get the lowest ranking.</p>","value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker","class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx, jdx, jdx) html","<tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In this case,","the total number of radio buttons. ''' # Find all the non-duplicate target","collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot","buttons used for ranking, as well as a count of the total number","you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker","to it.</p> <h3>You must click the Submit button when you are finished. You","true); console.log(\"Here!\") // Only enable submit if enough radio buttons are checked. if","functions that generate html\"\"\" import random def generate_2choice_html(example): '''Makes html for ranking form","<p>Consider the following exchange between two speakers.</p> <p>Your task is to decide which","task is to rank the possible responses by Speaker B from best to","html += \"\"\" </table> </div> \"\"\" return html, num_targets def generate_2choice_instructions(): return \"\"\"","question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\"","best to worst, where the best response should get the lowest ranking.</p> <br/>","of radio buttons whose length is the number of options. for jdx in","html += \"</tr>\" html += \"\"\" </table> </div> \"\"\" return html, num_targets def","what to say.</td></tr> </table> <br/> <p>In this case, the first response should be","A's question, so you should click the bubble next to it.</p> <h3>You must","exchange between two speakers.</p> <p>Your task is to decide which response sounds better","'responsive' behavior on smaller screens --> <style> table { border-collapse: collapse; display: block;","none; } * { margin: 0; padding: 0; } tr td:nth-child(1) { padding-left:","all the non-duplicate target indices. target_indices = [0, 1] # Randomize the order","to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div> </div>","every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight>","<div class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\" % (source_html) html += \"\"\"","Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE","panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are being used to enable","<input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0])","idx in target_indices: html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) #","//if cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\" + col + \"]\").prop(\"checked\", false);","idx == 0: tag = 'best' elif idx == num_targets - 1: tag","a count of the total number of radio buttons. ''' # Find all","'B' html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\"","where you define your question(s) --> \"\"\" + tables_html + \"\"\" <!-- HTML","(example.target_lines[idx]) # Add a row of radio buttons whose length is the number","rank 2, and the third rank 3.</p> <h3>You must click the Submit button","10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script","idx == num_targets - 1: tag = 'worst' else: tag = '' html","\"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function()","HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You","the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i","</div> </div> <!-- HTML to handle creating the HIT form --> <form name='mturk_form'","expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to","<br/> <p>In this case, the first response should be given rank 1, the","{ $(\"input.\" + cl + \"[data-col=\" + col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\",","indices. target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current","0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding:","name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s) --> \"\"\" +","this case, the first response should be given rank 1, the second rank","Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter exchanges between Speakers","--> <div class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are being","in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order targets are","--> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This","<!-- This is where you define your question(s) --> \"\"\" + tables_html +","the non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)): current =","% (example.target_lines[idx]) # Add a row of radio buttons whose length is the","<p>Consider the following Twitter exchanges between Speakers A and B.</p> <p>Your task is","random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A' for utterance in","before you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following","can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what","the 'responsive' behavior on smaller screens --> <style> table { border-collapse: collapse; display:","to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must","\"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\" % (source_html) html","<script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el; $(\"input[type=radio]\").click(function() { // Make sure","non-duplicate target indices. target_indices = [0, 1] # Randomize the order targets are","<label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key,","something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B:","response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you","if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse","handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill","type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s) -->","would be great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker","that generate html\"\"\" import random def generate_2choice_html(example): '''Makes html for ranking form for","== 'B' else 'B' html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s","== 0: tag = 'best' elif idx == num_targets - 1: tag =","content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to","# Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html","class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are being used to","<input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1])","this case, the first response is better as it directly answers Speaker A's","html += \"\"\" </table> </div> \"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes html","% (example.key, example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker,","targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\" <br/> <div","it directly answers Speaker A's question, so you should click the bubble next","rank 3.</p> <h3>You must click the Submit button when you are finished. You","in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx ==","id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define","% (source_html) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html","lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p>","submit if enough radio buttons are checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required)","<style> table { border-collapse: collapse; display: block; } td, th { border: 1px","every question before you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider","value='Submit' /></p></form> <h4>You must fill out rankings for every question before you can","col, el; $(\"input[type=radio]\").click(function() { // Make sure only one radio button is enabled","</style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() {","{ $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var content","html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\"","B.</p> <p>Your task is to rank the possible responses by Speaker B from","<td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" %","The following snippet enables the 'responsive' behavior on smaller screens --> <style> table","targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker =","cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\" + col","to decide which response sounds better given the previous things said.</p> <p>If both","data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx, jdx, jdx) html += \"</tr>\"","class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\" % example.source_line for","# Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\", 0 # Find","{ // Make sure only one radio button is enabled per column. el","3.</p> <h3>You must click the Submit button when you are finished. You must","example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/>","= '' html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\" for","column. el = $(this); col = el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") {","\"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\"","the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" +","duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\", 0 # Find all the non-duplicate","%s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker == 'B' else","<body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING: the ids","var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); }","= \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\"","(example.key, example.key, target_indices[1]) html += \"\"\" <tr> <td>It's a tie.</td> <td> <label class=\"btn\">","\"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label","<span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\"","+ \"[data-col=\" + col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only","used for ranking, as well as a count of the total number of","html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label>","}); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var trigger =","'A' if speaker == 'B' else 'B' html = \"\"\" <br/> <div class=\"panel","1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block;","\"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter exchanges between Speakers A","<link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables the 'responsive' behavior","<script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el; $(\"input[type=radio]\").click(function() {","class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and","= 'A' if speaker == 'B' else 'B' html = \"\"\" <br/> <div","el; $(\"input[type=radio]\").click(function() { // Make sure only one radio button is enabled per","expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions -->","HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/>","Returns the HTML for a table of radio buttons used for ranking, as","rank 1, the second rank 2, and the third rank 3.</p> <h3>You must","display: block; } td, th { border: 1px solid #ccc; } th:empty {","Only enable submit if enough radio buttons are checked. if ($('input:radio:checked').length >= \"\"\"","previous things said.</p> <p>If both responses are equally good, click \"It's a tie.\"<p>","</div> </div> </div> <!-- HTML to handle creating the HIT form --> <form","must click the Submit button when you are finished. You must complete every","content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)');","var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){","of radio buttons. ''' # Find all the non-duplicate target indices. target_indices =","form for the specified row index. Returns the HTML for a table of","\"\"\" </table> </div> \"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking","enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click","panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\" % example.source_line for idx","+= '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker ==","class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\"","well as a count of the total number of radio buttons. ''' #","+= \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\"","should click the bubble next to it.</p> <h3>You must click the Submit button","action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your","in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A'","third rank 3.</p> <h3>You must click the Submit button when you are finished.","$(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() { // Instructions","<input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html","must complete every question before you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html,","<table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe he","} }); }); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var","'''Makes html for ranking form for the specified row index. Returns the HTML","source_html = '' speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker","you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to","question before you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the","in range(num_targets): html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\"","directly answers Speaker A's question, so you should click the bubble next to","+ instructions + \"\"\" </div> </div> </div> <!-- HTML to handle creating the","task is to decide which response sounds better given the previous things said.</p>","Find all the non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)):","you are finished. You must complete every question before you can click Submit.</h3>","i get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be","instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\"","be great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B:","one radio button is enabled per column. el = $(this); col = el.data(\"col\");","tables_html + \"\"\" <!-- HTML to handle submitting the HIT --> <p><input type='submit'","following Twitter exchanges between Speakers A and B.</p> <p>Your task is to rank","</td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html += \"\"\" <tr> <td>It's a tie.</td>","example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize","num_targets = len(target_indices) source_html = '' speaker = 'A' for utterance in example.source_line_utterances():","know what to say.</td></tr> </table> <br/> <p>In this case, the first response is","example.key, target_indices[1]) html += \"\"\" <tr> <td>It's a tie.</td> <td> <label class=\"btn\"> <input","el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\" +","number of radio buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]:","+= \"\"\" </table> </div> \"\"\" return html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider","<form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is","to rank the possible responses by Speaker B from best to worst, where","all the helper functions that generate html\"\"\" import random def generate_2choice_html(example): '''Makes html","per column. el = $(this); col = el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\")","bubble next to it.</p> <h3>You must click the Submit button when you are","td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding: 10px } </style>","cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\" + col + \"]\").prop(\"checked\", false); //}","var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible =","target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not","B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a row of radio buttons whose length","handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden'","helper functions that generate html\"\"\" import random def generate_2choice_html(example): '''Makes html for ranking","Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!--","exchanges between Speakers A and B.</p> <p>Your task is to rank the possible","type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every question before","% (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\"","in. random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\" <br/> <div class=\"panel panel-default btn-group\">","count of the total number of radio buttons. ''' # Check for duplicates.","following exchange between two speakers.</p> <p>Your task is to decide which response sounds","str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } });","\"disabled\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody');","for jdx in range(num_targets): html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\"","return html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange between two","# Find all the non-duplicate target indices. target_indices = [] for idx in","from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I","second rank 2, and the third rank 3.</p> <h3>You must click the Submit","You must complete every question before you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required,","enables the 'responsive' behavior on smaller screens --> <style> table { border-collapse: collapse;","must fill out rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script>","would be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/>","the first response is better as it directly answers Speaker A's question, so","// Make sure only one radio button is enabled per column. el =","%s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\"","example.key, idx, jdx, jdx) html += \"</tr>\" html += \"\"\" </table> </div> \"\"\"","</a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div> </div> </div> <!--","response sounds better given the previous things said.</p> <p>If both responses are equally","{ border-collapse: collapse; display: block; } td, th { border: 1px solid #ccc;","B: I don't know what to say.</td></tr> </table> <br/> <p>In this case, the","end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions","+ str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); }","= el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\" + col +","count of the total number of radio buttons. ''' # Find all the","if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the","trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to","class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx,","<div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\" % example.source_line","solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration:","<div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div> </div> </div> <!-- HTML","question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion>","panel-default btn-group\"> %s <br/> <table> \"\"\" % (source_html) html += \"\"\" <tr> <td>Speaker","href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\">","[] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx]","button is enabled per column. el = $(this); col = el.data(\"col\"); cl =","* { margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right:","speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' %","Speakers A and B.</p> <p>Your task is to rank the possible responses by","src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el; $(\"input[type=radio]\").click(function() { //","are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\" <br/> <div class=\"panel","believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr>","\"\"\" </table> </div> \"\"\" return html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the","\"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\"","type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx, jdx, jdx)","radio buttons used for ranking, as well as a count of the total","padding-right: 10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/>","number of radio buttons. ''' # Find all the non-duplicate target indices. target_indices","A: %s</h4> <table> <tr> <th></th> \"\"\" % example.source_line for idx in range(num_targets): if","of options. for jdx in range(num_targets): html += \"\"\" <td> <label class=\"btn\"> <input","Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html =","<head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables the 'responsive'","import random def generate_2choice_html(example): '''Makes html for ranking form for the specified row","color:#fff; display: block; text-decoration: none; } * { margin: 0; padding: 0; }","var col, el; $(\"input[type=radio]\").click(function() { // Make sure only one radio button is","//} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit if enough radio buttons are","isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } });","Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are","is to rank the possible responses by Speaker B from best to worst,","in target_indices: html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add","B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr>","(speaker, utterance) speaker = 'A' if speaker == 'B' else 'B' html =","= len(target_indices) source_html = '' speaker = 'A' for utterance in example.source_line_utterances(): source_html","<input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx, jdx,","for a table of radio buttons used for ranking, as well as a","--> <style> table { border-collapse: collapse; display: block; } td, th { border:","align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\" for idx in target_indices: html +=","is where you define your question(s) --> \"\"\" + tables_html + \"\"\" <!--","he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table>","target indices. target_indices = [0, 1] # Randomize the order targets are shown","speakers.</p> <p>Your task is to decide which response sounds better given the previous","sure only one radio button is enabled per column. el = $(this); col","example.target_lines[1]: return \"\", 0 # Find all the non-duplicate target indices. target_indices =","answers Speaker A's question, so you should click the bubble next to it.</p>","% (example.key, example.key, idx, jdx, jdx) html += \"</tr>\" html += \"\"\" </table>","</div> \"\"\" return html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange","example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order targets are shown","tag = 'worst' else: tag = '' html += '<th align=\"center\">%s<br>%s</th>' % (tag,","example.key) html += \"\"\" </table> </div> \"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes","\"instructionBody\" are being used to enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate","buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\", 0","def generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange between two speakers.</p> <p>Your task","you should click the bubble next to it.</p> <h3>You must click the Submit","given rank 1, the second rank 2, and the third rank 3.</p> <h3>You","padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script>","(example.key, example.key, idx, jdx, jdx) html += \"</tr>\" html += \"\"\" </table> </div>","'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance)","the non-duplicate target indices. target_indices = [0, 1] # Randomize the order targets","<p>In this case, the first response is better as it directly answers Speaker","cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe","\"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the","%s</h4> <table> <tr> <th></th> \"\"\" % example.source_line for idx in range(num_targets): if idx","}else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation","radio buttons whose length is the number of options. for jdx in range(num_targets):","form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!--","\"\"\" + tables_html + \"\"\" <!-- HTML to handle submitting the HIT -->","response is better as it directly answers Speaker A's question, so you should","to handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input","= [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in",") { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() {","equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something","</tr>\"\"\" % (example.key, example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" %","html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables","random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker","<div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING: the ids \"collapseTrigger\"","the third rank 3.</p> <h3>You must click the Submit button when you are","<h4>Speaker A: %s</h4> <table> <tr> <th></th> \"\"\" % example.source_line for idx in range(num_targets):","Speaker B from best to worst, where the best response should get the","radio buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\",","num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange between two speakers.</p> <p>Your","== num_targets - 1: tag = 'worst' else: tag = '' html +=","Make sure only one radio button is enabled per column. el = $(this);","question before you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value =","the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId'","0 # Find all the non-duplicate target indices. target_indices = [0, 1] #","say.</td></tr> </table> <br/> <p>In this case, the first response is better as it","best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get","type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html","%s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\"","} th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; }","num_targets - 1: tag = 'worst' else: tag = '' html += '<th","responses by Speaker B from best to worst, where the best response should","(speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\"","target_indices = [0, 1] # Randomize the order targets are shown in. random.shuffle(target_indices)","know what to say.</td></tr> </table> <br/> <p>In this case, the first response should","integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables the 'responsive' behavior on smaller screens","method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you","/><!-- The following snippet enables the 'responsive' behavior on smaller screens --> <style>","content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle();","value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html += \"\"\" <tr> <td>It's","''' # Find all the non-duplicate target indices. target_indices = [] for idx","\"\"\" % (source_html) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]])","A: can i get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee","to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script>","<table> \"\"\" % (source_html) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker,","the following exchange between two speakers.</p> <p>Your task is to decide which response","border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin:","of radio buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return","expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body>","data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html += \"\"\" <tr>","idx in range(num_targets): if idx == 0: tag = 'best' elif idx ==","missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/>","the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In","which response sounds better given the previous things said.</p> <p>If both responses are","are checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\");","$(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var content =","</table> </div> \"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form","can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter exchanges","% example.source_line for idx in range(num_targets): if idx == 0: tag = 'best'","#collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0; padding: 0;","is the number of options. for jdx in range(num_targets): html += \"\"\" <td>","tag = '' html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\"","the specified row index. Returns the HTML for a table of radio buttons","<table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know what","name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where","<tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a row of radio buttons","else 'B' html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s <br/> <table>","type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html","$(\"input[type=radio]\").click(function() { // Make sure only one radio button is enabled per column.","1, the second rank 2, and the third rank 3.</p> <h3>You must click","Submit button when you are finished. You must complete every question before you","href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The following snippet enables the 'responsive' behavior on smaller","+= \"</tr>\" html += \"\"\" </table> </div> \"\"\" return html, num_targets def generate_2choice_instructions():","target_indices[0]) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html +=","example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html","generate_2choice_html(example): '''Makes html for ranking form for the specified row index. Returns the","ids \"collapseTrigger\" and \"instructionBody\" are being used to enable expand/collapse feature --> <a","a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td>","= 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker,","example.source_line for idx in range(num_targets): if idx == 0: tag = 'best' elif","click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the","Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to","Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions","return \"\"\" <p>Consider the following exchange between two speakers.</p> <p>Your task is to","\"[data-col=\" + col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable","before you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\"","of radio buttons used for ranking, as well as a count of the","<label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key,","</table> </div> \"\"\" return html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the following","}); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12","} * { margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px;","--> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a>","click the bubble next to it.</p> <h3>You must click the Submit button when","</label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker %s:","generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row index. Returns the","all the non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)): current","sounds better given the previous things said.</p> <p>If both responses are equally good,","html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\" %","for idx in target_indices: html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx])","expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)');","current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order","'' html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\" for idx","} #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0; padding:","+ \"\"\" <!-- HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton'","% (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\"","number of options. for jdx in range(num_targets): html += \"\"\" <td> <label class=\"btn\">","click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[","the ids \"collapseTrigger\" and \"instructionBody\" are being used to enable expand/collapse feature -->","row index. Returns the HTML for a table of radio buttons used for","Speaker A's question, so you should click the bubble next to it.</p> <h3>You","src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el; $(\"input[type=radio]\").click(function() { // Make sure only","can i get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would","</script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel","WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are being used to enable expand/collapse feature","fill out rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body>","</td>\"\"\" % (example.key, example.key, idx, jdx, jdx) html += \"</tr>\" html += \"\"\"","= 'best' elif idx == num_targets - 1: tag = 'worst' else: tag","if ($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\" ) { $(\"input[type=submit]\").removeAttr(\"disabled\"); } else","10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script>",".panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script>","table { border-collapse: collapse; display: block; } td, th { border: 1px solid","10px; padding-right: 10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html;","= $(this); col = el.data(\"col\"); cl = el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" +","+= \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td>","1: tag = 'worst' else: tag = '' html += '<th align=\"center\">%s<br>%s</th>' %","{ var col, el; $(\"input[type=radio]\").click(function() { // Make sure only one radio button","click the Submit button when you are finished. You must complete every question","$('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title>","complete every question before you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return \"\"\"","for ranking, as well as a count of the total number of radio","the Submit button when you are finished. You must complete every question before","where the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can","html, num_targets def generate_2choice_instructions(): return \"\"\" <p>Consider the following exchange between two speakers.</p>","1] # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices)","index. Returns the HTML for a table of radio buttons used for ranking,","</label> </td>\"\"\" % (example.key, example.key, idx, jdx, jdx) html += \"</tr>\" html +=","you define your question(s) --> \"\"\" + tables_html + \"\"\" <!-- HTML to","B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know","collapse; display: block; } td, th { border: 1px solid #ccc; } th:empty","This is where you define your question(s) --> \"\"\" + tables_html + \"\"\"","padding-left: 10px; padding-right: 10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type'","% (speaker, utterance) speaker = 'A' if speaker == 'B' else 'B' html","id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\"","I don't know what to say.</td></tr> </table> <br/> <p>In this case, the first","(speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\" data-col=\"1\"","idx+1) html += \"</tr>\" for idx in target_indices: html += \"\"\" <tr> <td>Speaker","rank the possible responses by Speaker B from best to worst, where the","text-decoration: none; } * { margin: 0; padding: 0; } tr td:nth-child(1) {","the helper functions that generate html\"\"\" import random def generate_2choice_html(example): '''Makes html for","enough radio buttons are checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\"","<tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe he missed","name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html += \"\"\"","2, and the third rank 3.</p> <h3>You must click the Submit button when","%s <br/> <table> \"\"\" % (source_html) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\"","class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[1]) html +=","<a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span> </a> <div","= 'worst' else: tag = '' html += '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1)","+ tables_html + \"\"\" <!-- HTML to handle submitting the HIT --> <p><input","'<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\" for idx in target_indices: html","= [0, 1] # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets","coffee would be great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr>","is to decide which response sounds better given the previous things said.</p> <p>If","next to it.</p> <h3>You must click the Submit button when you are finished.","<p>In this case, the first response should be given rank 1, the second","// end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!--","decide which response sounds better given the previous things said.</p> <p>If both responses","jdx in range(num_targets): html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-%s\"","\"\"\" <tr> <td>Speaker B: %s</td>\"\"\" % (example.target_lines[idx]) # Add a row of radio","following snippet enables the 'responsive' behavior on smaller screens --> <style> table {","%s</h4>' % (speaker, utterance) speaker = 'A' if speaker == 'B' else 'B'","complete every question before you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions):","col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit if","1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row index.","+= \"</tr>\" for idx in target_indices: html += \"\"\" <tr> <td>Speaker B: %s</td>\"\"\"","def generate_2choice_html(example): '''Makes html for ranking form for the specified row index. Returns","}); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div","== 0: target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets","id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div> </div> </div> <!-- HTML to handle","behavior on smaller screens --> <style> table { border-collapse: collapse; display: block; }","<br/> <div class=\"panel panel-default btn-group\"> %s <br/> <table> \"\"\" % (source_html) html +=","% (example.key, example.key) html += \"\"\" </table> </div> \"\"\" return html, 1 def","a table of radio buttons used for ranking, as well as a count","of the total number of radio buttons. ''' # Find all the non-duplicate","is enabled per column. el = $(this); col = el.data(\"col\"); cl = el.attr(\"class\");","as a count of the total number of radio buttons. ''' # Find","length is the number of options. for jdx in range(num_targets): html += \"\"\"","are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A'","B from best to worst, where the best response should get the lowest","}); }); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var trigger","\"\"\" <p>Consider the following Twitter exchanges between Speakers A and B.</p> <p>Your task","<p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table> <tr><td>Speaker B:","radio buttons are checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required) + \"\"\" )","to enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span","should be given rank 1, the second rank 2, and the third rank","table of radio buttons used for ranking, as well as a count of","%s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\"","/></p></form> <h4>You must fill out rankings for every question before you can submit.</h4>","as a count of the total number of radio buttons. ''' # Check","# Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html","name=\"%s-target-%s\" data-col=\"%s\" value=\"%s\"/> </label> </td>\"\"\" % (example.key, example.key, idx, jdx, jdx) html +=","rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]>","buttons whose length is the number of options. for jdx in range(num_targets): html","as it directly answers Speaker A's question, so you should click the bubble","being used to enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's","Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html =","def generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter exchanges between Speakers A and","ranking form for the specified row index. Returns the HTML for a table","http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col,","} else { $(\"input[type=submit]\").attr(\"disabled\", \"disabled\"); } }); }); $(document).ready(function() { // Instructions expand/collapse","when you are finished. You must complete every question before you can click","generate_multuchoice_instructions(): return \"\"\" <p>Consider the following Twitter exchanges between Speakers A and B.</p>","finished. You must complete every question before you can click Submit.</h3> \"\"\" def","+ \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit if enough","} .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js'","for the specified row index. Returns the HTML for a table of radio","<h3>You must click the Submit button when you are finished. You must complete","generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head>","it.</p> <h3>You must click the Submit button when you are finished. You must","of the total number of radio buttons. ''' # Check for duplicates. if","order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker","by Speaker B from best to worst, where the best response should get","class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key)","$(function() { var col, el; $(\"input[type=radio]\").click(function() { // Make sure only one radio","<meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var","HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for","--> \"\"\" + tables_html + \"\"\" <!-- HTML to handle submitting the HIT","html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr>","+= '<th align=\"center\">%s<br>%s</th>' % (tag, idx+1) html += \"</tr>\" for idx in target_indices:","class=\"collapse-text\">(Click to expand)</span> </a> <div class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div>","<tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\">","<p>If both responses are equally good, click \"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can","%s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\"","{ padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script","creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value=''","so you should click the bubble next to it.</p> <h3>You must click the","html += \"</tr>\" for idx in target_indices: html += \"\"\" <tr> <td>Speaker B:","the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't","case, the first response should be given rank 1, the second rank 2,","for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or","Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\", 0 # Find all","enable submit if enough radio buttons are checked. if ($('input:radio:checked').length >= \"\"\" +","HTML for a table of radio buttons used for ranking, as well as","in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A' for utterance","between two speakers.</p> <p>Your task is to decide which response sounds better given","to say.</td></tr> </table> <br/> <p>In this case, the first response is better as","'best' elif idx == num_targets - 1: tag = 'worst' else: tag =","options. for jdx in range(num_targets): html += \"\"\" <td> <label class=\"btn\"> <input type=\"radio\"","idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx","def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html>","</td> </tr>\"\"\" % (example.key, example.key) html += \"\"\" </table> </div> \"\"\" return html,","buttons. ''' # Find all the non-duplicate target indices. target_indices = [] for","td, th { border: 1px solid #ccc; } th:empty { border: 0; }","to say.</td></tr> </table> <br/> <p>In this case, the first response should be given","\"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html>","be given rank 1, the second rank 2, and the third rank 3.</p>","feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the Chatbot's Responses</strong> <span class=\"collapse-text\">(Click to expand)</span>","+ col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") // Only enable submit","border-collapse: collapse; display: block; } td, th { border: 1px solid #ccc; }","before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion> \"\"\"","data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html += \"\"\" <tr>","elif idx == num_targets - 1: tag = 'worst' else: tag = ''","<!-- HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form>","</div> \"\"\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for","is better as it directly answers Speaker A's question, so you should click","content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end","random def generate_2choice_html(example): '''Makes html for ranking form for the specified row index.","[0, 1] # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets =","the total number of radio buttons. ''' # Check for duplicates. if example.target_lines[0]","\"It's a tie.\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p>","be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In","\"\"\"Stores all the helper functions that generate html\"\"\" import random def generate_2choice_html(example): '''Makes","order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \"\"\" <br/>","if example.target_lines[0] == example.target_lines[1]: return \"\", 0 # Find all the non-duplicate target","num_targets = len(target_indices) html = \"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A:","content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\"></script> <script> $(function() { var col, el;","can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\">","(example.key, example.key, target_indices[0]) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]])","0: tag = 'best' elif idx == num_targets - 1: tag = 'worst'","the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = ''","target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices)","cl + \"[data-col=\" + col + \"]\").prop(\"checked\", false); //} el.prop(\"checked\", true); console.log(\"Here!\") //","<td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" %","Task</title> </head> <body> <div class=\"col-xs-12 col-md-12\"><!-- Instructions --> <div class=\"panel panel-primary\"> <!-- WARNING:","example.target_lines[0] == example.target_lines[1]: return \"\", 0 # Find all the non-duplicate target indices.","range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0:","+= \"\"\" <tr> <td>It's a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\"","utterance) speaker = 'A' if speaker == 'B' else 'B' html = \"\"\"","= '' speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s:","% (example.key, example.key, target_indices[1]) html += \"\"\" <tr> <td>It's a tie.</td> <td> <label","\"\"\" % example.source_line for idx in range(num_targets): if idx == 0: tag =","= \"\"\" <br/> <div class=\"panel panel-default btn-group\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th>","} td, th { border: 1px solid #ccc; } th:empty { border: 0;","what to say.</td></tr> </table> <br/> <p>In this case, the first response is better","console.log(\"Here!\") // Only enable submit if enough radio buttons are checked. if ($('input:radio:checked').length","class=\"%s\" name=\"%s-target-%s\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key, target_indices[0]) html +=","''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \"\", 0 #","you can click Submit.</h3> \"\"\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \"\"\" <HTMLQuestion","if enough radio buttons are checked. if ($('input:radio:checked').length >= \"\"\" + str(num_required) +","to worst, where the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker","(source_html) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html +=","only one radio button is enabled per column. el = $(this); col =","= example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) #","must complete every question before you can click Submit.</h3> \"\"\" def generate_multuchoice_instructions(): return","<p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every question","collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click","target_indices[1]) html += \"\"\" <tr> <td>It's a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\"","<!-- WARNING: the ids \"collapseTrigger\" and \"instructionBody\" are being used to enable expand/collapse","submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out","if idx == 0: tag = 'best' elif idx == num_targets - 1:","<table> <tr> <th></th> \"\"\" % example.source_line for idx in range(num_targets): if idx ==","indices. target_indices = [0, 1] # Randomize the order targets are shown in.","<tr> <td>It's a tie.</td> <td> <label class=\"btn\"> <input type=\"radio\" class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/>","snippet enables the 'responsive' behavior on smaller screens --> <style> table { border-collapse:","radio button is enabled per column. el = $(this); col = el.data(\"col\"); cl","the following Twitter exchanges between Speakers A and B.</p> <p>Your task is to","tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding: 10px }","better given the previous things said.</p> <p>If both responses are equally good, click","<td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[0]]) html += \"\"\" <td> <label class=\"btn\"> <input","<reponame>chateval/chatevalv2 \"\"\"Stores all the helper functions that generate html\"\"\" import random def generate_2choice_html(example):","total number of radio buttons. ''' # Check for duplicates. if example.target_lines[0] ==","xmlns=\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\"anonymous\" href=\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\" integrity=\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\" rel=\"stylesheet\" /><!-- The","for idx in range(num_targets): if idx == 0: tag = 'best' elif idx","(example.key, example.key) html += \"\"\" </table> </div> \"\"\" return html, 1 def generate_ranking_tables_html(example):","<tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know what to","the first response should be given rank 1, the second rank 2, and","{ padding-left: 10px; padding-right: 10px; } .panel { padding: 10px } </style> <meta","first response is better as it directly answers Speaker A's question, so you","</div> <!-- HTML to handle creating the HIT form --> <form name='mturk_form' method='post'","ranking, as well as a count of the total number of radio buttons.","generate html\"\"\" import random def generate_2choice_html(example): '''Makes html for ranking form for the","the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings","el.attr(\"class\"); //if cl.includes(\"ex-\") { $(\"input.\" + cl + \"[data-col=\" + col + \"]\").prop(\"checked\",","are being used to enable expand/collapse feature --> <a class=\"panel-heading\" href=\"javascript:void(0);\" id=\"collapseTrigger\"><strong>Rate the","value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s) --> \"\"\"","<br/> <table> \"\"\" % (source_html) html += \"\"\" <tr> <td>Speaker %s: %s</td>\"\"\" %","idx == 0: target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices)","<tr> <td>Speaker %s: %s</td>\"\"\" % (speaker, example.target_lines[target_indices[1]]) html += \"\"\" <td> <label class=\"btn\">","are finished. You must complete every question before you can click Submit.</h3> \"\"\"","$(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger');","current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx)","class=\"panel-body\" id=\"instructionBody\"> \"\"\" + instructions + \"\"\" </div> </div> </div> <!-- HTML to"],"string":"[\n \"0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0;\",\n \"class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\"\",\n \"generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange between two speakers.</p> <p>Your task is\",\n \"<!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet\",\n \"<html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables the\",\n \"\\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return\",\n \"<script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only one\",\n \"</table> <br/> <p>In this case, the first response is better as it directly\",\n \"speaker = 'A' if speaker == 'B' else 'B' html = \\\"\\\"\\\" <br/>\",\n \"+= \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row of\",\n \"0: target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets =\",\n \"<tr> <th></th> \\\"\\\"\\\" % example.source_line for idx in range(num_targets): if idx == 0:\",\n \"every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value\",\n \"question, so you should click the bubble next to it.</p> <h3>You must click\",\n \"= len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4>\",\n \"padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel {\",\n \"= $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){\",\n \"both responses are equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i\",\n \"row of radio buttons whose length is the number of options. for jdx\",\n \"else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var\",\n \"$('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click\",\n \"you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter\",\n \"<div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used\",\n \"rel=\\\"stylesheet\\\" /><!-- The following snippet enables the 'responsive' behavior on smaller screens -->\",\n \"<!-- HTML to handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form'\",\n \"+= \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for\",\n \"question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML to handle submitting the\",\n \"smaller screens --> <style> table { border-collapse: collapse; display: block; } td, th\",\n \"range(num_targets): if idx == 0: tag = 'best' elif idx == num_targets -\",\n \"get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from\",\n \"display: block; text-decoration: none; } * { margin: 0; padding: 0; } tr\",\n \"expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div> </div>\",\n \"\\\"\\\"\\\" <p>Consider the following exchange between two speakers.</p> <p>Your task is to decide\",\n \"return \\\"\\\", 0 # Find all the non-duplicate target indices. target_indices = [0,\",\n \"class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key,\",\n \"<td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label>\",\n \"the possible responses by Speaker B from best to worst, where the best\",\n \"name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\"\",\n \"// Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click\",\n \"== example.target_lines[1]: return \\\"\\\", 0 # Find all the non-duplicate target indices. target_indices\",\n \"value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\"\",\n \"</tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1\",\n \"define your question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML to handle\",\n \"checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); }\",\n \"\\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange between\",\n \"value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx) html += \\\"</tr>\\\" html\",\n \"responses are equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get\",\n \"Find all the non-duplicate target indices. target_indices = [0, 1] # Randomize the\",\n \"</label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a\",\n \"return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified\",\n \"} tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding: 10px\",\n \"len(target_indices) source_html = '' speaker = 'A' for utterance in example.source_line_utterances(): source_html +=\",\n \"+ \\\"\\\"\\\" </div> </div> </div> <!-- HTML to handle creating the HIT form\",\n \"<HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!--\",\n \"out rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html>\",\n \"% (tag, idx+1) html += \\\"</tr>\\\" for idx in target_indices: html += \\\"\\\"\\\"\",\n \"$('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible\",\n \"worst, where the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A:\",\n \"<label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key,\",\n \"button when you are finished. You must complete every question before you can\",\n \"'' speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>'\",\n \"not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order targets\",\n \"<input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s)\",\n \"your question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML to handle submitting\",\n \"the second rank 2, and the third rank 3.</p> <h3>You must click the\",\n \"great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In this\",\n \"as well as a count of the total number of radio buttons. '''\",\n \"# Find all the non-duplicate target indices. target_indices = [0, 1] # Randomize\",\n \"<p>Your task is to rank the possible responses by Speaker B from best\",\n \"are equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you\",\n \"def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row index. Returns\",\n \"to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{\",\n \"tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\"\",\n \"in range(num_targets): if idx == 0: tag = 'best' elif idx == num_targets\",\n \"things said.</p> <p>If both responses are equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker\",\n \"type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make\",\n \"block; } td, th { border: 1px solid #ccc; } th:empty { border:\",\n \"0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel\",\n \"tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table> <tr><td>Speaker\",\n \"radio buttons. ''' # Find all the non-duplicate target indices. target_indices = []\",\n \"+ cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\")\",\n \"say.</td></tr> </table> <br/> <p>In this case, the first response should be given rank\",\n \"speaker == 'B' else 'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\">\",\n \"shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In this\",\n \"= $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var\",\n \"Add a row of radio buttons whose length is the number of options.\",\n \"= el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\"\",\n \"said.</p> <p>If both responses are equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A:\",\n \"the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you\",\n \"between Speakers A and B.</p> <p>Your task is to rank the possible responses\",\n \"'B' else 'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/>\",\n \"<br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" %\",\n \"<p>Your task is to decide which response sounds better given the previous things\",\n \"the HTML for a table of radio buttons used for ranking, as well\",\n \"shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default\",\n \"the previous things said.</p> <p>If both responses are equally good, click \\\"It's a\",\n \"($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else {\",\n \"buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) {\",\n \"shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A' for\",\n \"<br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table> <tr><td>Speaker\",\n \"col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl +\",\n \"} </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function()\",\n \"$(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true);\",\n \"Twitter exchanges between Speakers A and B.</p> <p>Your task is to rank the\",\n \"you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion> \\\"\\\"\\\" return\",\n \"used to enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong>\",\n \"<td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input\",\n \"target indices. target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if\",\n \"response should be given rank 1, the second rank 2, and the third\",\n \"# Add a row of radio buttons whose length is the number of\",\n \"on smaller screens --> <style> table { border-collapse: collapse; display: block; } td,\",\n \"Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions +\",\n \"the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\"\",\n \"the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the\",\n \"</table> <br/> <p>In this case, the first response should be given rank 1,\",\n \"for ranking form for the specified row index. Returns the HTML for a\",\n \"\\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label\",\n \"\\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\"\",\n \"utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker =\",\n \"specified row index. Returns the HTML for a table of radio buttons used\",\n \"</tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td>\",\n \"coffee would be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table>\",\n \"or idx == 0: target_indices.append(idx) # Randomize the order targets are shown in.\",\n \"data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\" </table> </div>\",\n \"<td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key,\",\n \"case, the first response is better as it directly answers Speaker A's question,\",\n \"get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr>\",\n \"{ margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px;\",\n \"two speakers.</p> <p>Your task is to decide which response sounds better given the\",\n \"<br/> <p>In this case, the first response is better as it directly answers\",\n \"= \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html)\",\n \"$(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl\",\n \"possible responses by Speaker B from best to worst, where the best response\",\n \"<td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row of radio buttons whose\",\n \"\\\"\\\", 0 # Find all the non-duplicate target indices. target_indices = [0, 1]\",\n \"\\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to enable expand/collapse feature --> <a class=\\\"panel-heading\\\"\",\n \"'worst' else: tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html\",\n \"html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\" for idx in\",\n \"HTML to handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'>\",\n \"and the third rank 3.</p> <h3>You must click the Submit button when you\",\n \"ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table>\",\n \"for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent>\",\n \"jdx, jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html,\",\n \">= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\",\",\n \"\\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\");\",\n \"B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe he missed the\",\n \"= content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); //\",\n \"\\\"\\\"\\\" <!-- HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit'\",\n \"</td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\"\",\n \"+ \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); });\",\n \"given the previous things said.</p> <p>If both responses are equally good, click \\\"It's\",\n \"(tag, idx+1) html += \\\"</tr>\\\" for idx in target_indices: html += \\\"\\\"\\\" <tr>\",\n \"range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/>\",\n \"id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every question before you\",\n \"source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker\",\n \"click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter exchanges between\",\n \"<HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following\",\n \"html += \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\"\",\n \"th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } *\",\n \"'<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker == 'B'\",\n \"example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/>\",\n \"<th></th> \\\"\\\"\\\" % example.source_line for idx in range(num_targets): if idx == 0: tag\",\n \"a count of the total number of radio buttons. ''' # Check for\",\n \"+= \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td>\",\n \"better as it directly answers Speaker A's question, so you should click the\",\n \"can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion> \\\"\\\"\\\" return question_html_value\",\n \"el = $(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\"\",\n \"screens --> <style> table { border-collapse: collapse; display: block; } td, th {\",\n \"\\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\"\",\n \"name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\" </table>\",\n \"--> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every\",\n \"instructions + \\\"\\\"\\\" </div> </div> </div> <!-- HTML to handle creating the HIT\",\n \"%s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row of radio buttons whose length is\",\n \"html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row\",\n \"html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html for ranking form for the specified\",\n \"btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for idx in\",\n \"btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s:\",\n \"- 1: tag = 'worst' else: tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>'\",\n \"if speaker == 'B' else 'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default\",\n \"{ border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * {\",\n \"\\\"\\\"\\\" </div> </div> </div> <!-- HTML to handle creating the HIT form -->\",\n \"</label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return\",\n \"\\\"</tr>\\\" for idx in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" %\",\n \"block; text-decoration: none; } * { margin: 0; padding: 0; } tr td:nth-child(1)\",\n \"tag = 'best' elif idx == num_targets - 1: tag = 'worst' else:\",\n \"+= \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td>\",\n \"html for ranking form for the specified row index. Returns the HTML for\",\n \"html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label>\",\n \"for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker\",\n \"{ $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() { //\",\n \"whose length is the number of options. for jdx in range(num_targets): html +=\",\n \"great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I\",\n \"total number of radio buttons. ''' # Find all the non-duplicate target indices.\",\n \"to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head>\",\n \"from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can\",\n \"type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html +=\",\n \"A and B.</p> <p>Your task is to rank the possible responses by Speaker\",\n \"and B.</p> <p>Your task is to rank the possible responses by Speaker B\",\n \"enabled per column. el = $(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if\",\n \"the bubble next to it.</p> <h3>You must click the Submit button when you\",\n \"$('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse });\",\n \"} }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div\",\n \"len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table>\",\n \"{ // Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show();\",\n \"html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row\",\n \"class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr>\",\n \"a row of radio buttons whose length is the number of options. for\",\n \"// Only enable submit if enough radio buttons are checked. if ($('input:radio:checked').length >=\",\n \"html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\"\",\n \"{ border: 1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff;\",\n \"<tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't\",\n \"tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link\",\n \"\\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit if enough radio\",\n \"trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible');\",\n \"\\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div> </div> <!-- HTML to handle creating\",\n \"for duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 # Find all the\",\n \"idx, jdx, jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return\",\n \"the number of options. for jdx in range(num_targets): html += \\\"\\\"\\\" <td> <label\",\n \"<h4>You must fill out rankings for every question before you can submit.</h4> <script\",\n \"jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets\",\n \"and \\\"instructionBody\\\" are being used to enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\"\",\n \"border: 1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display:\",\n \"$('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)');\",\n \"margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; }\",\n \"example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if\",\n \"cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know\",\n \"target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a\",\n \"charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function()\",\n \"a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table>\",\n \"return \\\"\\\"\\\" <p>Consider the following Twitter exchanges between Speakers A and B.</p> <p>Your\",\n \"el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit if enough radio buttons are checked.\",\n \"\\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" %\",\n \"th { border: 1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{\",\n \"id='assignmentId'/> <!-- This is where you define your question(s) --> \\\"\\\"\\\" + tables_html\",\n \"else: tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html +=\",\n \"crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables the 'responsive' behavior on\",\n \"don't know what to say.</td></tr> </table> <br/> <p>In this case, the first response\",\n \"first response should be given rank 1, the second rank 2, and the\",\n \"non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx]\",\n \"<title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\">\",\n \"#ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none;\",\n \"You must complete every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions():\",\n \"</head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the\",\n \"col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\"\",\n \"should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something\",\n \"good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from\",\n \"false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit if enough radio buttons\",\n \"from best to worst, where the best response should get the lowest ranking.</p>\",\n \"value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker\",\n \"class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx) html\",\n \"<tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In this case,\",\n \"the total number of radio buttons. ''' # Find all the non-duplicate target\",\n \"collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot\",\n \"buttons used for ranking, as well as a count of the total number\",\n \"you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker\",\n \"to it.</p> <h3>You must click the Submit button when you are finished. You\",\n \"true); console.log(\\\"Here!\\\") // Only enable submit if enough radio buttons are checked. if\",\n \"functions that generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html for ranking form\",\n \"<p>Consider the following exchange between two speakers.</p> <p>Your task is to decide which\",\n \"task is to rank the possible responses by Speaker B from best to\",\n \"html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\"\",\n \"question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\"\",\n \"best to worst, where the best response should get the lowest ranking.</p> <br/>\",\n \"of radio buttons whose length is the number of options. for jdx in\",\n \"html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets def\",\n \"what to say.</td></tr> </table> <br/> <p>In this case, the first response should be\",\n \"A's question, so you should click the bubble next to it.</p> <h3>You must\",\n \"exchange between two speakers.</p> <p>Your task is to decide which response sounds better\",\n \"'responsive' behavior on smaller screens --> <style> table { border-collapse: collapse; display: block;\",\n \"none; } * { margin: 0; padding: 0; } tr td:nth-child(1) { padding-left:\",\n \"all the non-duplicate target indices. target_indices = [0, 1] # Randomize the order\",\n \"to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div>\",\n \"every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight>\",\n \"<div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\"\",\n \"Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE\",\n \"panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to enable\",\n \"<input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0])\",\n \"idx in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) #\",\n \"//if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false);\",\n \"idx == 0: tag = 'best' elif idx == num_targets - 1: tag\",\n \"a count of the total number of radio buttons. ''' # Find all\",\n \"'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\"\",\n \"where you define your question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML\",\n \"(example.target_lines[idx]) # Add a row of radio buttons whose length is the number\",\n \"rank 2, and the third rank 3.</p> <h3>You must click the Submit button\",\n \"10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script\",\n \"idx == num_targets - 1: tag = 'worst' else: tag = '' html\",\n \"\\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function()\",\n \"HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You\",\n \"the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i\",\n \"</div> </div> <!-- HTML to handle creating the HIT form --> <form name='mturk_form'\",\n \"expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to\",\n \"<br/> <p>In this case, the first response should be given rank 1, the\",\n \"{ $(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\",\",\n \"indices. target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current\",\n \"0; } tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding:\",\n \"name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s) --> \\\"\\\"\\\" +\",\n \"this case, the first response should be given rank 1, the second rank\",\n \"Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter exchanges between Speakers\",\n \"--> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being\",\n \"in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order targets are\",\n \"--> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This\",\n \"<!-- This is where you define your question(s) --> \\\"\\\"\\\" + tables_html +\",\n \"the non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)): current =\",\n \"% (example.target_lines[idx]) # Add a row of radio buttons whose length is the\",\n \"<p>Consider the following Twitter exchanges between Speakers A and B.</p> <p>Your task is\",\n \"random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A' for utterance in\",\n \"before you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following\",\n \"can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what\",\n \"the 'responsive' behavior on smaller screens --> <style> table { border-collapse: collapse; display:\",\n \"to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must\",\n \"\\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html) html\",\n \"<script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure\",\n \"non-duplicate target indices. target_indices = [0, 1] # Randomize the order targets are\",\n \"<label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key,\",\n \"something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B:\",\n \"response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you\",\n \"if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse\",\n \"handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill\",\n \"type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s) -->\",\n \"would be great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker\",\n \"that generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html for ranking form for\",\n \"== 'B' else 'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s\",\n \"== 0: tag = 'best' elif idx == num_targets - 1: tag =\",\n \"content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to\",\n \"# Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html\",\n \"class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to\",\n \"<input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1])\",\n \"this case, the first response is better as it directly answers Speaker A's\",\n \"html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes html\",\n \"% (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker,\",\n \"targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\" <br/> <div\",\n \"it directly answers Speaker A's question, so you should click the bubble next\",\n \"rank 3.</p> <h3>You must click the Submit button when you are finished. You\",\n \"in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx ==\",\n \"id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define\",\n \"% (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html\",\n \"lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p>\",\n \"submit if enough radio buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required)\",\n \"<style> table { border-collapse: collapse; display: block; } td, th { border: 1px\",\n \"every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider\",\n \"value='Submit' /></p></form> <h4>You must fill out rankings for every question before you can\",\n \"col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only one radio button is enabled\",\n \"</style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() {\",\n \"{ $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var content\",\n \"html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\"\",\n \"B.</p> <p>Your task is to rank the possible responses by Speaker B from\",\n \"<td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" %\",\n \"The following snippet enables the 'responsive' behavior on smaller screens --> <style> table\",\n \"targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker =\",\n \"cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col\",\n \"to decide which response sounds better given the previous things said.</p> <p>If both\",\n \"data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx) html += \\\"</tr>\\\"\",\n \"class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for\",\n \"# Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 # Find\",\n \"{ // Make sure only one radio button is enabled per column. el\",\n \"3.</p> <h3>You must click the Submit button when you are finished. You must\",\n \"example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/>\",\n \"= '' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\" for\",\n \"column. el = $(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") {\",\n \"\\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\"\",\n \"the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" +\",\n \"duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 # Find all the non-duplicate\",\n \"%s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker == 'B' else\",\n \"<body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids\",\n \"var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); }\",\n \"= \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\"\",\n \"(example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\">\",\n \"\\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label\",\n \"<span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\"\",\n \"+ \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only\",\n \"used for ranking, as well as a count of the total number of\",\n \"html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label>\",\n \"}); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var trigger =\",\n \"'A' if speaker == 'B' else 'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel\",\n \"1px solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block;\",\n \"\\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter exchanges between Speakers A\",\n \"<link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables the 'responsive' behavior\",\n \"<script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() {\",\n \"class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and\",\n \"= 'A' if speaker == 'B' else 'B' html = \\\"\\\"\\\" <br/> <div\",\n \"el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only one radio button is enabled per\",\n \"expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions -->\",\n \"HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/>\",\n \"Returns the HTML for a table of radio buttons used for ranking, as\",\n \"rank 1, the second rank 2, and the third rank 3.</p> <h3>You must\",\n \"display: block; } td, th { border: 1px solid #ccc; } th:empty {\",\n \"Only enable submit if enough radio buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\"\",\n \"previous things said.</p> <p>If both responses are equally good, click \\\"It's a tie.\\\"<p>\",\n \"</div> </div> </div> <!-- HTML to handle creating the HIT form --> <form\",\n \"must click the Submit button when you are finished. You must complete every\",\n \"content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)');\",\n \"var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){\",\n \"of radio buttons. ''' # Find all the non-duplicate target indices. target_indices =\",\n \"form for the specified row index. Returns the HTML for a table of\",\n \"\\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking\",\n \"enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click\",\n \"panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for idx\",\n \"+= '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A' if speaker ==\",\n \"class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\"\",\n \"well as a count of the total number of radio buttons. ''' #\",\n \"+= \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\"\",\n \"should click the bubble next to it.</p> <h3>You must click the Submit button\",\n \"action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your\",\n \"in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance) speaker = 'A'\",\n \"third rank 3.</p> <h3>You must click the Submit button when you are finished.\",\n \"$(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() { // Instructions\",\n \"<input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key) html\",\n \"must complete every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html,\",\n \"<table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe he\",\n \"} }); }); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var\",\n \"'''Makes html for ranking form for the specified row index. Returns the HTML\",\n \"source_html = '' speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker\",\n \"you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to\",\n \"question before you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the\",\n \"in range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\"\",\n \"directly answers Speaker A's question, so you should click the bubble next to\",\n \"+ instructions + \\\"\\\"\\\" </div> </div> </div> <!-- HTML to handle creating the\",\n \"task is to decide which response sounds better given the previous things said.</p>\",\n \"Find all the non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)):\",\n \"you are finished. You must complete every question before you can click Submit.</h3>\",\n \"i get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would be\",\n \"instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\"\",\n \"be great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B:\",\n \"one radio button is enabled per column. el = $(this); col = el.data(\\\"col\\\");\",\n \"tables_html + \\\"\\\"\\\" <!-- HTML to handle submitting the HIT --> <p><input type='submit'\",\n \"following Twitter exchanges between Speakers A and B.</p> <p>Your task is to rank\",\n \"</td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a tie.</td>\",\n \"example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize\",\n \"num_targets = len(target_indices) source_html = '' speaker = 'A' for utterance in example.source_line_utterances():\",\n \"know what to say.</td></tr> </table> <br/> <p>In this case, the first response is\",\n \"example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input\",\n \"el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\" +\",\n \"number of radio buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]:\",\n \"+= \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider\",\n \"<form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is\",\n \"to rank the possible responses by Speaker B from best to worst, where\",\n \"all the helper functions that generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html\",\n \"per column. el = $(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\")\",\n \"bubble next to it.</p> <h3>You must click the Submit button when you are\",\n \"td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding: 10px } </style>\",\n \"cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //}\",\n \"var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle(); var isVisible =\",\n \"target_indices = [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not\",\n \"B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row of radio buttons whose length\",\n \"handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden'\",\n \"helper functions that generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html for ranking\",\n \"Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!--\",\n \"exchanges between Speakers A and B.</p> <p>Your task is to rank the possible\",\n \"type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every question before\",\n \"% (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\"\",\n \"in. random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\">\",\n \"count of the total number of radio buttons. ''' # Check for duplicates.\",\n \"following exchange between two speakers.</p> <p>Your task is to decide which response sounds\",\n \"str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } });\",\n \"\\\"disabled\\\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody');\",\n \"for jdx in range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\"\",\n \"return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange between two\",\n \"# Find all the non-duplicate target indices. target_indices = [] for idx in\",\n \"from the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I\",\n \"second rank 2, and the third rank 3.</p> <h3>You must click the Submit\",\n \"You must complete every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required,\",\n \"enables the 'responsive' behavior on smaller screens --> <style> table { border-collapse: collapse;\",\n \"must fill out rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script>\",\n \"would be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/>\",\n \"the first response is better as it directly answers Speaker A's question, so\",\n \"// Make sure only one radio button is enabled per column. el =\",\n \"%s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\"\",\n \"example.key, idx, jdx, jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\"\",\n \"</a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div> </div> <!--\",\n \"response sounds better given the previous things said.</p> <p>If both responses are equally\",\n \"{ border-collapse: collapse; display: block; } td, th { border: 1px solid #ccc;\",\n \"B: I don't know what to say.</td></tr> </table> <br/> <p>In this case, the\",\n \"end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions\",\n \"+ str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); }\",\n \"= el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col +\",\n \"count of the total number of radio buttons. ''' # Find all the\",\n \"if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the\",\n \"trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to\",\n \"class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx,\",\n \"<div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line\",\n \"solid #ccc; } th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration:\",\n \"<div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div> </div> <!-- HTML\",\n \"question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion>\",\n \"panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker\",\n \"href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\">\",\n \"[] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx]\",\n \"button is enabled per column. el = $(this); col = el.data(\\\"col\\\"); cl =\",\n \"* { margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px; padding-right:\",\n \"speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' %\",\n \"Speakers A and B.</p> <p>Your task is to rank the possible responses by\",\n \"src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() { //\",\n \"are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel\",\n \"believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr>\",\n \"\\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the\",\n \"\\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\"\",\n \"type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx)\",\n \"radio buttons used for ranking, as well as a count of the total\",\n \"padding-right: 10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/>\",\n \"number of radio buttons. ''' # Find all the non-duplicate target indices. target_indices\",\n \"A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for idx in range(num_targets): if\",\n \"of options. for jdx in range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input\",\n \"Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html =\",\n \"<head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables the 'responsive'\",\n \"import random def generate_2choice_html(example): '''Makes html for ranking form for the specified row\",\n \"color:#fff; display: block; text-decoration: none; } * { margin: 0; padding: 0; }\",\n \"var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only one radio button is\",\n \"//} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit if enough radio buttons are\",\n \"isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } });\",\n \"Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are\",\n \"is to rank the possible responses by Speaker B from best to worst,\",\n \"in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add\",\n \"B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr>\",\n \"(speaker, utterance) speaker = 'A' if speaker == 'B' else 'B' html =\",\n \"= len(target_indices) source_html = '' speaker = 'A' for utterance in example.source_line_utterances(): source_html\",\n \"<input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx,\",\n \"for a table of radio buttons used for ranking, as well as a\",\n \"--> <style> table { border-collapse: collapse; display: block; } td, th { border:\",\n \"align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\" for idx in target_indices: html +=\",\n \"is where you define your question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!--\",\n \"he missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table>\",\n \"target indices. target_indices = [0, 1] # Randomize the order targets are shown\",\n \"speakers.</p> <p>Your task is to decide which response sounds better given the previous\",\n \"sure only one radio button is enabled per column. el = $(this); col\",\n \"example.target_lines[1]: return \\\"\\\", 0 # Find all the non-duplicate target indices. target_indices =\",\n \"answers Speaker A's question, so you should click the bubble next to it.</p>\",\n \"% (example.key, example.key, idx, jdx, jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table>\",\n \"</div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange\",\n \"example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order targets are shown\",\n \"tag = 'worst' else: tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag,\",\n \"example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes\",\n \"\\\"instructionBody\\\" are being used to enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate\",\n \"buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0\",\n \"def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange between two speakers.</p> <p>Your task\",\n \"you should click the bubble next to it.</p> <h3>You must click the Submit\",\n \"given rank 1, the second rank 2, and the third rank 3.</p> <h3>You\",\n \"padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script>\",\n \"(example.key, example.key, idx, jdx, jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div>\",\n \"'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker, utterance)\",\n \"the non-duplicate target indices. target_indices = [0, 1] # Randomize the order targets\",\n \"<p>In this case, the first response is better as it directly answers Speaker\",\n \"cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe\",\n \"\\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the\",\n \"%s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for idx in range(num_targets): if idx\",\n \"}else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation\",\n \"radio buttons whose length is the number of options. for jdx in range(num_targets):\",\n \"form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!--\",\n \"\\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML to handle submitting the HIT -->\",\n \"response is better as it directly answers Speaker A's question, so you should\",\n \"to handle creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input\",\n \"= [] for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in\",\n \") { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() {\",\n \"equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something\",\n \"</tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" %\",\n \"html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables\",\n \"random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker\",\n \"<div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING: the ids \\\"collapseTrigger\\\"\",\n \"the third rank 3.</p> <h3>You must click the Submit button when you are\",\n \"<h4>Speaker A: %s</h4> <table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for idx in range(num_targets):\",\n \"Speaker B from best to worst, where the best response should get the\",\n \"radio buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\",\",\n \"num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange between two speakers.</p> <p>Your\",\n \"== num_targets - 1: tag = 'worst' else: tag = '' html +=\",\n \"Make sure only one radio button is enabled per column. el = $(this);\",\n \"question before you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value =\",\n \"the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId'\",\n \"0 # Find all the non-duplicate target indices. target_indices = [0, 1] #\",\n \"say.</td></tr> </table> <br/> <p>In this case, the first response is better as it\",\n \"best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can i get\",\n \"type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html\",\n \"%s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\"\",\n \"} th:empty { border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; }\",\n \"num_targets - 1: tag = 'worst' else: tag = '' html += '<th\",\n \"responses by Speaker B from best to worst, where the best response should\",\n \"(speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\"\",\n \"target_indices = [0, 1] # Randomize the order targets are shown in. random.shuffle(target_indices)\",\n \"know what to say.</td></tr> </table> <br/> <p>In this case, the first response should\",\n \"integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables the 'responsive' behavior on smaller screens\",\n \"method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where you\",\n \"/><!-- The following snippet enables the 'responsive' behavior on smaller screens --> <style>\",\n \"content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)'); trigger.click(function(){ content.toggle();\",\n \"value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's\",\n \"''' # Find all the non-duplicate target indices. target_indices = [] for idx\",\n \"\\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]])\",\n \"A: can i get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee\",\n \"to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script>\",\n \"<table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker,\",\n \"the following exchange between two speakers.</p> <p>Your task is to decide which response\",\n \"border: 0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin:\",\n \"of radio buttons. ''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return\",\n \"expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body>\",\n \"data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr>\",\n \"idx in range(num_targets): if idx == 0: tag = 'best' elif idx ==\",\n \"missed the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/>\",\n \"the shot?</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In\",\n \"which response sounds better given the previous things said.</p> <p>If both responses are\",\n \"are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\");\",\n \"$(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() { // Instructions expand/collapse var content =\",\n \"</table> </div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form\",\n \"can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter exchanges\",\n \"% example.source_line for idx in range(num_targets): if idx == 0: tag = 'best'\",\n \"#collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0; padding: 0;\",\n \"is the number of options. for jdx in range(num_targets): html += \\\"\\\"\\\" <td>\",\n \"tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\"\",\n \"the specified row index. Returns the HTML for a table of radio buttons\",\n \"<table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know what\",\n \"name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value='' name='assignmentId' id='assignmentId'/> <!-- This is where\",\n \"<tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row of radio buttons\",\n \"else 'B' html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table>\",\n \"type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html\",\n \"$(\\\"input[type=radio]\\\").click(function() { // Make sure only one radio button is enabled per column.\",\n \"1, the second rank 2, and the third rank 3.</p> <h3>You must click\",\n \"Submit button when you are finished. You must complete every question before you\",\n \"href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The following snippet enables the 'responsive' behavior on smaller\",\n \"+= \\\"</tr>\\\" html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions():\",\n \"target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html +=\",\n \"example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html\",\n \"generate_2choice_html(example): '''Makes html for ranking form for the specified row index. Returns the\",\n \"ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to enable expand/collapse feature --> <a\",\n \"a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td>\",\n \"= 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s: %s</h4>' % (speaker,\",\n \"example.source_line for idx in range(num_targets): if idx == 0: tag = 'best' elif\",\n \"click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the\",\n \"Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to\",\n \"Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions\",\n \"return \\\"\\\"\\\" <p>Consider the following exchange between two speakers.</p> <p>Your task is to\",\n \"\\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable\",\n \"before you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\"\",\n \"of radio buttons used for ranking, as well as a count of the\",\n \"<label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key,\",\n \"</table> </div> \\\"\\\"\\\" return html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following\",\n \"}); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12\",\n \"} * { margin: 0; padding: 0; } tr td:nth-child(1) { padding-left: 10px;\",\n \"--> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a>\",\n \"click the bubble next to it.</p> <h3>You must click the Submit button when\",\n \"</label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s:\",\n \"generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row index. Returns the\",\n \"all the non-duplicate target indices. target_indices = [] for idx in range(len(example.target_lines)): current\",\n \"sounds better given the previous things said.</p> <p>If both responses are equally good,\",\n \"html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" %\",\n \"for idx in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx])\",\n \"expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger'); content.show(); $('.collapse-text').text('(Click to collapse)');\",\n \"current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) # Randomize the order\",\n \"'' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\" for idx\",\n \"} #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0; padding:\",\n \"+ \\\"\\\"\\\" <!-- HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton'\",\n \"% (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\"\",\n \"number of options. for jdx in range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\">\",\n \"click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[\",\n \"the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to enable expand/collapse feature -->\",\n \"row index. Returns the HTML for a table of radio buttons used for\",\n \"Speaker A's question, so you should click the bubble next to it.</p> <h3>You\",\n \"src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only\",\n \"can i get you something from the cafe?</p> <table> <tr><td>Speaker B: coffee would\",\n \"</script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel\",\n \"WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to enable expand/collapse feature\",\n \"fill out rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body>\",\n \"</td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx) html += \\\"</tr>\\\" html += \\\"\\\"\\\"\",\n \"= 'best' elif idx == num_targets - 1: tag = 'worst' else: tag\",\n \"if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" ) { $(\\\"input[type=submit]\\\").removeAttr(\\\"disabled\\\"); } else\",\n \"10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script>\",\n \".panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script>\",\n \"table { border-collapse: collapse; display: block; } td, th { border: 1px solid\",\n \"10px; padding-right: 10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html;\",\n \"= $(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" +\",\n \"+= \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td>\",\n \"1: tag = 'worst' else: tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>' %\",\n \"{ var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only one radio button\",\n \"click the Submit button when you are finished. You must complete every question\",\n \"$('.collapse-text').text('(Click to expand)'); } }); // end expand/collapse }); </script> <title>Chatbot Evaluation Task</title>\",\n \"complete every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return \\\"\\\"\\\"\",\n \"for ranking, as well as a count of the total number of radio\",\n \"the Submit button when you are finished. You must complete every question before\",\n \"where the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker A: can\",\n \"html, num_targets def generate_2choice_instructions(): return \\\"\\\"\\\" <p>Consider the following exchange between two speakers.</p>\",\n \"1] # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices)\",\n \"index. Returns the HTML for a table of radio buttons used for ranking,\",\n \"</label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx) html += \\\"</tr>\\\" html +=\",\n \"you define your question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML to\",\n \"B: can you believe he missed the shot?</td></tr> <tr><td>Speaker B: I don't know\",\n \"collapse; display: block; } td, th { border: 1px solid #ccc; } th:empty\",\n \"This is where you define your question(s) --> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\"\",\n \"padding-left: 10px; padding-right: 10px; } .panel { padding: 10px } </style> <meta http-equiv='Content-Type'\",\n \"% (speaker, utterance) speaker = 'A' if speaker == 'B' else 'B' html\",\n \"id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\"\",\n \"I don't know what to say.</td></tr> </table> <br/> <p>In this case, the first\",\n \"(speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\"\",\n \"idx+1) html += \\\"</tr>\\\" for idx in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker\",\n \"rank the possible responses by Speaker B from best to worst, where the\",\n \"text-decoration: none; } * { margin: 0; padding: 0; } tr td:nth-child(1) {\",\n \"the helper functions that generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html for\",\n \"enough radio buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\"\",\n \"<tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: can you believe he missed\",\n \"name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\"\",\n \"2, and the third rank 3.</p> <h3>You must click the Submit button when\",\n \"%s <br/> <table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\"\",\n \"class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[1]) html +=\",\n \"<a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div\",\n \"= 'worst' else: tag = '' html += '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1)\",\n \"+ tables_html + \\\"\\\"\\\" <!-- HTML to handle submitting the HIT --> <p><input\",\n \"'<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\" for idx in target_indices: html\",\n \"= [0, 1] # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets\",\n \"coffee would be great</td></tr> <tr><td>Speaker B: can you believe he missed the shot?</td></tr>\",\n \"is to decide which response sounds better given the previous things said.</p> <p>If\",\n \"next to it.</p> <h3>You must click the Submit button when you are finished.\",\n \"<p>In this case, the first response should be given rank 1, the second\",\n \"// end expand/collapse }); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!--\",\n \"decide which response sounds better given the previous things said.</p> <p>If both responses\",\n \"jdx in range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-%s\\\"\",\n \"\\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\" % (example.target_lines[idx]) # Add a row of radio\",\n \"following snippet enables the 'responsive' behavior on smaller screens --> <style> table {\",\n \"%s</h4>' % (speaker, utterance) speaker = 'A' if speaker == 'B' else 'B'\",\n \"complete every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions):\",\n \"col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit if\",\n \"1 def generate_ranking_tables_html(example): '''Makes html for ranking form for the specified row index.\",\n \"+= \\\"</tr>\\\" for idx in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B: %s</td>\\\"\\\"\\\"\",\n \"def generate_2choice_html(example): '''Makes html for ranking form for the specified row index. Returns\",\n \"}); </script> <title>Chatbot Evaluation Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div\",\n \"== 0: target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets\",\n \"id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div> </div> <!-- HTML to handle\",\n \"behavior on smaller screens --> <style> table { border-collapse: collapse; display: block; }\",\n \"<br/> <div class=\\\"panel panel-default btn-group\\\"> %s <br/> <table> \\\"\\\"\\\" % (source_html) html +=\",\n \"% (example.key, example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1 def\",\n \"a table of radio buttons used for ranking, as well as a count\",\n \"of the total number of radio buttons. ''' # Find all the non-duplicate\",\n \"is enabled per column. el = $(this); col = el.data(\\\"col\\\"); cl = el.attr(\\\"class\\\");\",\n \"as a count of the total number of radio buttons. ''' # Find\",\n \"length is the number of options. for jdx in range(num_targets): html += \\\"\\\"\\\"\",\n \"are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A'\",\n \"B from best to worst, where the best response should get the lowest\",\n \"}); }); $(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var trigger\",\n \"\\\"\\\"\\\" <p>Consider the following Twitter exchanges between Speakers A and B.</p> <p>Your task\",\n \"<p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p> <table> <tr><td>Speaker B:\",\n \"radio buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) + \\\"\\\"\\\" )\",\n \"to enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span\",\n \"should be given rank 1, the second rank 2, and the third rank\",\n \"table of radio buttons used for ranking, as well as a count of\",\n \"%s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\"\",\n \"/></p></form> <h4>You must fill out rankings for every question before you can submit.</h4>\",\n \"as a count of the total number of radio buttons. ''' # Check\",\n \"# Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html\",\n \"name=\\\"%s-target-%s\\\" data-col=\\\"%s\\\" value=\\\"%s\\\"/> </label> </td>\\\"\\\"\\\" % (example.key, example.key, idx, jdx, jdx) html +=\",\n \"rankings for every question before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]>\",\n \"buttons whose length is the number of options. for jdx in range(num_targets): html\",\n \"as it directly answers Speaker A's question, so you should click the bubble\",\n \"being used to enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's\",\n \"Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html =\",\n \"def generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter exchanges between Speakers A and\",\n \"ranking form for the specified row index. Returns the HTML for a table\",\n \"http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col,\",\n \"} else { $(\\\"input[type=submit]\\\").attr(\\\"disabled\\\", \\\"disabled\\\"); } }); }); $(document).ready(function() { // Instructions expand/collapse\",\n \"when you are finished. You must complete every question before you can click\",\n \"generate_multuchoice_instructions(): return \\\"\\\"\\\" <p>Consider the following Twitter exchanges between Speakers A and B.</p>\",\n \"finished. You must complete every question before you can click Submit.</h3> \\\"\\\"\\\" def\",\n \"+ \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit if enough\",\n \"} .panel { padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js'\",\n \"for the specified row index. Returns the HTML for a table of radio\",\n \"<h3>You must click the Submit button when you are finished. You must complete\",\n \"generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head>\",\n \"it.</p> <h3>You must click the Submit button when you are finished. You must\",\n \"of the total number of radio buttons. ''' # Check for duplicates. if\",\n \"order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker\",\n \"by Speaker B from best to worst, where the best response should get\",\n \"class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key)\",\n \"$(function() { var col, el; $(\\\"input[type=radio]\\\").click(function() { // Make sure only one radio\",\n \"<meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var\",\n \"HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for\",\n \"--> \\\"\\\"\\\" + tables_html + \\\"\\\"\\\" <!-- HTML to handle submitting the HIT\",\n \"html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr>\",\n \"+= '<th align=\\\"center\\\">%s<br>%s</th>' % (tag, idx+1) html += \\\"</tr>\\\" for idx in target_indices:\",\n \"class=\\\"collapse-text\\\">(Click to expand)</span> </a> <div class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div>\",\n \"<tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\">\",\n \"<p>If both responses are equally good, click \\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can\",\n \"%s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\"\",\n \"{ padding: 10px } </style> <meta http-equiv='Content-Type' content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script\",\n \"creating the HIT form --> <form name='mturk_form' method='post' id='mturk_form' action='https://workersandbox.mturk.com/mturk/externalSubmit'> <input type='hidden' value=''\",\n \"so you should click the bubble next to it.</p> <h3>You must click the\",\n \"html += \\\"</tr>\\\" for idx in target_indices: html += \\\"\\\"\\\" <tr> <td>Speaker B:\",\n \"the cafe?</p> <table> <tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't\",\n \"case, the first response should be given rank 1, the second rank 2,\",\n \"for idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or\",\n \"Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 # Find all\",\n \"enable submit if enough radio buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" +\",\n \"HTML for a table of radio buttons used for ranking, as well as\",\n \"in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = '' speaker = 'A' for utterance\",\n \"between two speakers.</p> <p>Your task is to decide which response sounds better given\",\n \"to say.</td></tr> </table> <br/> <p>In this case, the first response is better as\",\n \"'best' elif idx == num_targets - 1: tag = 'worst' else: tag =\",\n \"options. for jdx in range(num_targets): html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\"\",\n \"idx in range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx\",\n \"def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html>\",\n \"</td> </tr>\\\"\\\"\\\" % (example.key, example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html,\",\n \"buttons. ''' # Find all the non-duplicate target indices. target_indices = [] for\",\n \"td, th { border: 1px solid #ccc; } th:empty { border: 0; }\",\n \"to say.</td></tr> </table> <br/> <p>In this case, the first response should be given\",\n \"\\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html>\",\n \"be given rank 1, the second rank 2, and the third rank 3.</p>\",\n \"feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the Chatbot's Responses</strong> <span class=\\\"collapse-text\\\">(Click to expand)</span>\",\n \"+ col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") // Only enable submit\",\n \"border-collapse: collapse; display: block; } td, th { border: 1px solid #ccc; }\",\n \"before you can submit.</h4> <script language='Javascript'>turkSetAssignmentID();</script> </body> </html> ]]> </HTMLContent> <FrameHeight>600</FrameHeight> </HTMLQuestion> \\\"\\\"\\\"\",\n \"data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr>\",\n \"elif idx == num_targets - 1: tag = 'worst' else: tag = ''\",\n \"<!-- HTML to handle submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form>\",\n \"</div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example): '''Makes html for ranking form for\",\n \"is better as it directly answers Speaker A's question, so you should click\",\n \"content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click to expand)'); } }); // end\",\n \"random def generate_2choice_html(example): '''Makes html for ranking form for the specified row index.\",\n \"[0, 1] # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets =\",\n \"the total number of radio buttons. ''' # Check for duplicates. if example.target_lines[0]\",\n \"\\\"It's a tie.\\\"<p> <p><b>Example:</b><br/>Speaker A: can i get you something from the cafe?</p>\",\n \"be great</td></tr> <tr><td>Speaker B: I don't know what to say.</td></tr> </table> <br/> <p>In\",\n \"\\\"\\\"\\\"Stores all the helper functions that generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes\",\n \"order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) html = \\\"\\\"\\\" <br/>\",\n \"if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 # Find all the non-duplicate target\",\n \"num_targets = len(target_indices) html = \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A:\",\n \"content='text/html; charset=UTF-8'/> <script src='https://s3.amazonaws.com/mturk-public/externalHIT_v1.js' type='text/javascript'></script> <script src=\\\"https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js\\\"></script> <script> $(function() { var col, el;\",\n \"can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\">\",\n \"(example.key, example.key, target_indices[0]) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]])\",\n \"0: tag = 'best' elif idx == num_targets - 1: tag = 'worst'\",\n \"the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices) source_html = ''\",\n \"target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices) num_targets = len(target_indices)\",\n \"cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\", false); //} el.prop(\\\"checked\\\", true); console.log(\\\"Here!\\\") //\",\n \"<td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" %\",\n \"Task</title> </head> <body> <div class=\\\"col-xs-12 col-md-12\\\"><!-- Instructions --> <div class=\\\"panel panel-primary\\\"> <!-- WARNING:\",\n \"example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 # Find all the non-duplicate target indices.\",\n \"range(len(example.target_lines)): current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0:\",\n \"+= \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\"\",\n \"utterance) speaker = 'A' if speaker == 'B' else 'B' html = \\\"\\\"\\\"\",\n \"= '' speaker = 'A' for utterance in example.source_line_utterances(): source_html += '<h4>Speaker %s:\",\n \"% (example.key, example.key, target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label\",\n \"\\\"\\\"\\\" % example.source_line for idx in range(num_targets): if idx == 0: tag =\",\n \"= \\\"\\\"\\\" <br/> <div class=\\\"panel panel-default btn-group\\\"> <h4>Speaker A: %s</h4> <table> <tr> <th></th>\",\n \"} td, th { border: 1px solid #ccc; } th:empty { border: 0;\",\n \"what to say.</td></tr> </table> <br/> <p>In this case, the first response is better\",\n \"console.log(\\\"Here!\\\") // Only enable submit if enough radio buttons are checked. if ($('input:radio:checked').length\",\n \"class=\\\"%s\\\" name=\\\"%s-target-%s\\\" data-col=\\\"1\\\" value=\\\"1\\\"/> </label> </td> </tr>\\\"\\\"\\\" % (example.key, example.key, target_indices[0]) html +=\",\n \"''' # Check for duplicates. if example.target_lines[0] == example.target_lines[1]: return \\\"\\\", 0 #\",\n \"you can click Submit.</h3> \\\"\\\"\\\" def generate_HIT_html(num_required, tables_html, instructions): question_html_value = \\\"\\\"\\\" <HTMLQuestion\",\n \"if enough radio buttons are checked. if ($('input:radio:checked').length >= \\\"\\\"\\\" + str(num_required) +\",\n \"to worst, where the best response should get the lowest ranking.</p> <br/> <p><b>Example:</b><br/>Speaker\",\n \"(source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html +=\",\n \"only one radio button is enabled per column. el = $(this); col =\",\n \"= example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx) #\",\n \"must complete every question before you can click Submit.</h3> \\\"\\\"\\\" def generate_multuchoice_instructions(): return\",\n \"<p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings for every question\",\n \"collapse)'); trigger.click(function(){ content.toggle(); var isVisible = content.is(':visible'); if(isVisible){ $('.collapse-text').text('(Click to collapse)'); }else{ $('.collapse-text').text('(Click\",\n \"target_indices[1]) html += \\\"\\\"\\\" <tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\"\",\n \"<!-- WARNING: the ids \\\"collapseTrigger\\\" and \\\"instructionBody\\\" are being used to enable expand/collapse\",\n \"submitting the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out\",\n \"if idx == 0: tag = 'best' elif idx == num_targets - 1:\",\n \"<table> <tr> <th></th> \\\"\\\"\\\" % example.source_line for idx in range(num_targets): if idx ==\",\n \"indices. target_indices = [0, 1] # Randomize the order targets are shown in.\",\n \"<tr> <td>It's a tie.</td> <td> <label class=\\\"btn\\\"> <input type=\\\"radio\\\" class=\\\"%s\\\" name=\\\"%s-target-tie\\\" data-col=\\\"1\\\" value=\\\"1\\\"/>\",\n \"snippet enables the 'responsive' behavior on smaller screens --> <style> table { border-collapse:\",\n \"radio button is enabled per column. el = $(this); col = el.data(\\\"col\\\"); cl\",\n \"the following Twitter exchanges between Speakers A and B.</p> <p>Your task is to\",\n \"tr td:nth-child(1) { padding-left: 10px; padding-right: 10px; } .panel { padding: 10px }\",\n \"better given the previous things said.</p> <p>If both responses are equally good, click\",\n \"<td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[0]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\"> <input\",\n \"<reponame>chateval/chatevalv2 \\\"\\\"\\\"Stores all the helper functions that generate html\\\"\\\"\\\" import random def generate_2choice_html(example):\",\n \"total number of radio buttons. ''' # Check for duplicates. if example.target_lines[0] ==\",\n \"xmlns=\\\"http://mechanicalturk.amazonaws.com/AWSMechanicalTurkDataSchemas/2011-11-11/HTMLQuestion.xsd\\\"> <HTMLContent><![CDATA[ <!DOCTYPE html> <html> <head> <link crossorigin=\\\"anonymous\\\" href=\\\"https://maxcdn.bootstrapcdn.com/bootstrap/3.0.3/css/bootstrap.min.css\\\" integrity=\\\"sha384-IS73LIqjtYesmURkDE9MXKbXqYA8rvKEp/ghicjem7Vc3mGRdQRptJSz60tvrB6+\\\" rel=\\\"stylesheet\\\" /><!-- The\",\n \"for idx in range(num_targets): if idx == 0: tag = 'best' elif idx\",\n \"(example.key, example.key) html += \\\"\\\"\\\" </table> </div> \\\"\\\"\\\" return html, 1 def generate_ranking_tables_html(example):\",\n \"<tr><td>Speaker B: coffee would be great</td></tr> <tr><td>Speaker B: I don't know what to\",\n \"the first response should be given rank 1, the second rank 2, and\",\n \"{ padding-left: 10px; padding-right: 10px; } .panel { padding: 10px } </style> <meta\",\n \"first response is better as it directly answers Speaker A's question, so you\",\n \"</div> <!-- HTML to handle creating the HIT form --> <form name='mturk_form' method='post'\",\n \"ranking, as well as a count of the total number of radio buttons.\",\n \"generate html\\\"\\\"\\\" import random def generate_2choice_html(example): '''Makes html for ranking form for the\",\n \"the HIT --> <p><input type='submit' id='submitButton' value='Submit' /></p></form> <h4>You must fill out rankings\",\n \"el.attr(\\\"class\\\"); //if cl.includes(\\\"ex-\\\") { $(\\\"input.\\\" + cl + \\\"[data-col=\\\" + col + \\\"]\\\").prop(\\\"checked\\\",\",\n \"are being used to enable expand/collapse feature --> <a class=\\\"panel-heading\\\" href=\\\"javascript:void(0);\\\" id=\\\"collapseTrigger\\\"><strong>Rate the\",\n \"value='' name='assignmentId' id='assignmentId'/> <!-- This is where you define your question(s) --> \\\"\\\"\\\"\",\n \"<br/> <table> \\\"\\\"\\\" % (source_html) html += \\\"\\\"\\\" <tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" %\",\n \"idx == 0: target_indices.append(idx) # Randomize the order targets are shown in. random.shuffle(target_indices)\",\n \"<tr> <td>Speaker %s: %s</td>\\\"\\\"\\\" % (speaker, example.target_lines[target_indices[1]]) html += \\\"\\\"\\\" <td> <label class=\\\"btn\\\">\",\n \"are finished. You must complete every question before you can click Submit.</h3> \\\"\\\"\\\"\",\n \"$(document).ready(function() { // Instructions expand/collapse var content = $('#instructionBody'); var trigger = $('#collapseTrigger');\",\n \"current = example.target_lines[idx] if current not in example.target_lines[0:idx] or idx == 0: target_indices.append(idx)\",\n \"class=\\\"panel-body\\\" id=\\\"instructionBody\\\"> \\\"\\\"\\\" + instructions + \\\"\\\"\\\" </div> </div> </div> <!-- HTML to\"\n]","isConversational":false}}},{"rowIdx":772,"cells":{"ngram":{"kind":"list like","value":["works everywhere in the documentation. .. exref:: :title: an example of use Just","is the documentation for this class. **example with a sphinx directives** It works","(myexampleb). \"\"\" class myclass: \"\"\" This is the documentation for this class. **example","in the documentation. .. exref:: :title: an example of use Just for documentation","bloc :tag: aaaa Just look a this bloc. Look also :ref:`l-FAQ2`. 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The source documentation is parsed","Just for documentation purpose. :: m = myclass(0) The old way: @example(an old","with a sphinx directives** It works everywhere in the documentation. .. exref:: :title:","is collected and placed in a page ``all_examples.rst`` (look at the source). @code","Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid: label1 Look also","module (myexampleb). \"\"\" class myclass: \"\"\" This is the documentation for this class.","github source: :githublink:`source|py`. \"\"\" def __init__(self, pa): \"\"\" documentation for the constructor @param","a page ``all_examples.rst`` (look at the source). @code m = myclass(0) @endcode @endexample","myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How to add a question ?","a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid:","a sphinx directives** It works everywhere in the documentation. .. exref:: :title: an","(look at the source). @code m = myclass(0) @endcode @endexample **FAQ** .. faqref::","Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How","utf-8 -*- \"\"\" @file @brief This the documentation of this module (myexampleb). \"\"\"","This is the documentation for this class. **example with a sphinx directives** It","example of use Just for documentation purpose. :: m = myclass(0) The old",":: m = myclass(0) The old way: @example(an old example of use) This","= myclass(0) The old way: @example(an old example of use) This only works","example is collected and placed in a page ``all_examples.rst`` (look at the source).","documentation. .. exref:: :title: an example of use Just for documentation purpose. ::","of this module (myexampleb). \"\"\" class myclass: \"\"\" This is the documentation for","the source). @code m = myclass(0) @endcode @endexample **FAQ** .. faqref:: :title: How","A link to github source: :githublink:`source|py`. \"\"\" def __init__(self, pa): \"\"\" documentation for",":title: How to add a question ? Just look a this section. Look","use Just for documentation purpose. :: m = myclass(0) The old way: @example(an",".. blocref:: :title: How to add a bloc :tag: aaaa Just look a","documentation purpose. :: m = myclass(0) The old way: @example(an old example of","of use) This only works from the code, not inserted in a RST","documentation is parsed and every such example is collected and placed in a","def get_value(self, mul): \"\"\" returns the parameter multiplied by a value @param mul","value @param mul a float @return a float \"\"\" return self.pa * mul","Look also :ref:`l-FAQ2`. An accent, é, to check it is working. A link","= pa def get_value(self, mul): \"\"\" returns the parameter multiplied by a value","everywhere in the documentation. .. exref:: :title: an example of use Just for","for this class. **example with a sphinx directives** It works everywhere in the","file. The source documentation is parsed and every such example is collected and",":title: Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title:","link to github source: :githublink:`source|py`. \"\"\" def __init__(self, pa): \"\"\" documentation for the","documentation of this module (myexampleb). \"\"\" class myclass: \"\"\" This is the documentation","to check it is working. A link to github source: :githublink:`source|py`. \"\"\" def","every such example is collected and placed in a page ``all_examples.rst`` (look at","such example is collected and placed in a page ``all_examples.rst`` (look at the","__init__(self, pa): \"\"\" documentation for the constructor @param pa first parameter \"\"\" self.pa","collected and placed in a page ``all_examples.rst`` (look at the source). @code m","**FAQ** .. faqref:: :title: How to add a question ? Just look a","old example of use) This only works from the code, not inserted in","Look also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add a bloc :tag:","is working. A link to github source: :githublink:`source|py`. \"\"\" def __init__(self, pa): \"\"\"","parsed and every such example is collected and placed in a page ``all_examples.rst``","by a value @param mul a float @return a float \"\"\" return self.pa","aaaa Just look a this bloc. Look also :ref:`l-FAQ2`. An accent, é, to","the documentation for this class. **example with a sphinx directives** It works everywhere","@example(an old example of use) This only works from the code, not inserted","only works from the code, not inserted in a RST file. The source","look a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label","to add a question ? Just look a this section. Look also :ref:`l-FAQ2`.","mul): \"\"\" returns the parameter multiplied by a value @param mul a float","add a question ? Just look a this section. Look also :ref:`l-FAQ2`. ..","coding: utf-8 -*- \"\"\" @file @brief This the documentation of this module (myexampleb).","@endexample **FAQ** .. faqref:: :title: How to add a question ? Just look","code, not inserted in a RST file. The source documentation is parsed and","Just look a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a","# -*- coding: utf-8 -*- \"\"\" @file @brief This the documentation of this",":ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC**",":ref:`l-FAQ2`. An accent, é, to check it is working. A link to github","\"\"\" documentation for the constructor @param pa first parameter \"\"\" self.pa = pa","pa def get_value(self, mul): \"\"\" returns the parameter multiplied by a value @param","this class. **example with a sphinx directives** It works everywhere in the documentation.","the documentation of this module (myexampleb). \"\"\" class myclass: \"\"\" This is the","class myclass: \"\"\" This is the documentation for this class. **example with a","constructor @param pa first parameter \"\"\" self.pa = pa def get_value(self, mul): \"\"\"","Just look a this bloc. Look also :ref:`l-FAQ2`. An accent, é, to check","a this bloc. Look also :ref:`l-FAQ2`. An accent, é, to check it is","<filename>python3_module_template/subproject/myexample.py # -*- coding: utf-8 -*- \"\"\" @file @brief This the documentation of","An accent, é, to check it is working. A link to github source:","How to add a question ? Just look a this section. Look also","@endcode @endexample **FAQ** .. faqref:: :title: How to add a question ? Just","m = myclass(0) The old way: @example(an old example of use) This only",":title: an example of use Just for documentation purpose. :: m = myclass(0)","documentation for this class. **example with a sphinx directives** It works everywhere in","inserted in a RST file. The source documentation is parsed and every such",".. faqref:: :title: Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** ..","works from the code, not inserted in a RST file. The source documentation","also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add a bloc :tag: aaaa","? Just look a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add","section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid: label1 Look","working. A link to github source: :githublink:`source|py`. \"\"\" def __init__(self, pa): \"\"\" documentation","@brief This the documentation of this module (myexampleb). \"\"\" class myclass: \"\"\" This","**BLOC** .. blocref:: :title: How to add a bloc :tag: aaaa Just look","first parameter \"\"\" self.pa = pa def get_value(self, mul): \"\"\" returns the parameter","a value @param mul a float @return a float \"\"\" return self.pa *","The source documentation is parsed and every such example is collected and placed","old way: @example(an old example of use) This only works from the code,"],"string":"[\n \"works everywhere in the documentation. .. exref:: :title: an example of use Just\",\n \"is the documentation for this class. **example with a sphinx directives** It works\",\n \"(myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This is the documentation for this class. **example\",\n \"in the documentation. .. exref:: :title: an example of use Just for documentation\",\n \"bloc :tag: aaaa Just look a this bloc. 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A link to github source:\",\n \"How to add a question ? Just look a this section. Look also\",\n \"@endcode @endexample **FAQ** .. faqref:: :title: How to add a question ? Just\",\n \"m = myclass(0) The old way: @example(an old example of use) This only\",\n \":title: an example of use Just for documentation purpose. :: m = myclass(0)\",\n \"documentation for this class. **example with a sphinx directives** It works everywhere in\",\n \"inserted in a RST file. The source documentation is parsed and every such\",\n \".. faqref:: :title: Add a label :lid: label1 Look also :ref:`l-FAQ2`. **BLOC** ..\",\n \"works from the code, not inserted in a RST file. The source documentation\",\n \"also :ref:`l-FAQ2`. **BLOC** .. blocref:: :title: How to add a bloc :tag: aaaa\",\n \"? Just look a this section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add\",\n \"section. Look also :ref:`l-FAQ2`. .. faqref:: :title: Add a label :lid: label1 Look\",\n \"working. A link to github source: :githublink:`source|py`. \\\"\\\"\\\" def __init__(self, pa): \\\"\\\"\\\" documentation\",\n \"@brief This the documentation of this module (myexampleb). \\\"\\\"\\\" class myclass: \\\"\\\"\\\" This\",\n \"**BLOC** .. blocref:: :title: How to add a bloc :tag: aaaa Just look\",\n \"first parameter \\\"\\\"\\\" self.pa = pa def get_value(self, mul): \\\"\\\"\\\" returns the parameter\",\n \"a value @param mul a float @return a float \\\"\\\"\\\" return self.pa *\",\n \"The source documentation is parsed and every such example is collected and placed\",\n \"old way: @example(an old example of use) This only works from the code,\"\n]","isConversational":false}}},{"rowIdx":773,"cells":{"ngram":{"kind":"list like","value":["# preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################","drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise","as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name","parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 # dimension","for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\",","This module generate a dataset \"\"\" ############################################## # preample import numpy as np","simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters","# control parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses = 5","] # intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ##################################################","\"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\",","measurement operators ################################################## # simulation parameters T = 1 # Evolution time M","realzations noise_profile = [1] # Noise type ################################################### # control parameters pulse_shape =","= 50 # batch size for TF ################################################## # noise parameters K =","type ################################################### # control parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses","= \"Gaussian\" # Control pulse shape num_pulses = 5 # Number of pulses","Evolution time M = 1024 # Number of time steps num_ex = 10000","qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] #","= Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T = 1 #","of pulses per sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k))","\"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters)","dim = 2 # dimension of the system Omega = 12 # qubit","= 10000 # Number of examples batch_size = 50 # batch size for","= \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 # dimension of the","parameters K = 2000 # Number of realzations noise_profile = [1] # Noise","examples batch_size = 50 # batch size for TF ################################################## # noise parameters","[1] # Noise type ################################################### # control parameters pulse_shape = \"Gaussian\" # Control","sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in","Number of examples batch_size = 50 # batch size for TF ################################################## #","Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\",","intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation","control parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses = 5 #","import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta","noise_profile = [1] # Noise type ################################################### # control parameters pulse_shape = \"Gaussian\"","Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state","the system Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] #","\"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"]","gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian","steps num_ex = 10000 # Number of examples batch_size = 50 # batch","[ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators","Noise type ################################################### # control parameters pulse_shape = \"Gaussian\" # Control pulse shape","# Noise type ################################################### # control parameters pulse_shape = \"Gaussian\" # Control pulse","# simulation parameters T = 1 # Evolution time M = 1024 #","k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\",","CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim","Number of pulses per sequence #################################################### # Generate the dataset sim_parameters = dict(","initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of","= 1024 # Number of time steps num_ex = 10000 # Number of","noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]),","\"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 # dimension of the system","a dataset \"\"\" ############################################## # preample import numpy as np from utilites import","Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum","operators ################################################## # simulation parameters T = 1 # Evolution time M =","\"Gaussian\" # Control pulse shape num_pulses = 5 # Number of pulses per","\"\"\" ############################################## # preample import numpy as np from utilites import Pauli_operators, simulate,","static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators","K = 2000 # Number of realzations noise_profile = [1] # Noise type","Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian","\"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\",","numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters","\"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters) ####################################################","pulses per sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for","parameters T = 1 # Evolution time M = 1024 # Number of","# noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] #","noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial","################################################## # simulation parameters T = 1 # Evolution time M = 1024","per sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for k","batch_size = 50 # batch size for TF ################################################## # noise parameters K","Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]),","# qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]]","# intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## #","Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian","Number of time steps num_ex = 10000 # Number of examples batch_size =","50 # batch size for TF ################################################## # noise parameters K = 2000","1 # Evolution time M = 1024 # Number of time steps num_ex","TF ################################################## # noise parameters K = 2000 # Number of realzations noise_profile","num_pulses = 5 # Number of pulses per sequence #################################################### # Generate the","dataset \"\"\" ############################################## # preample import numpy as np from utilites import Pauli_operators,","np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:] #","= 1 # Evolution time M = 1024 # Number of time steps","[0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ]","dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\",","import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ #","the dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\",","parameters dim = 2 # dimension of the system Omega = 12 #","simulation parameters T = 1 # Evolution time M = 1024 # Number","# control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]),","= [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]])","= [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators =","\"\"\" This module generate a dataset \"\"\" ############################################## # preample import numpy as","of the system Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega]","############################################## # preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise","control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]),","# drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] #","shape num_pulses = 5 # Number of pulses per sequence #################################################### # Generate","module generate a dataset \"\"\" ############################################## # preample import numpy as np from","= 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators","################################################## # noise parameters K = 2000 # Number of realzations noise_profile =","for TF ################################################## # noise parameters K = 2000 # Number of realzations","# noise parameters K = 2000 # Number of realzations noise_profile = [1]","utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################","# Number of examples batch_size = 50 # batch size for TF ##################################################","pulse_shape = \"Gaussian\" # Control pulse shape num_pulses = 5 # Number of","preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ #","\"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ])","# Number of realzations noise_profile = [1] # Noise type ################################################### # control","= [1] # Noise type ################################################### # control parameters pulse_shape = \"Gaussian\" #","generate a dataset \"\"\" ############################################## # preample import numpy as np from utilites","np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators =","\"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\", \"noise_profile\", \"pulse_shape\", \"num_pulses\"] ]) CheckNoise(sim_parameters)","= [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states =","= [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit","name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 # dimension of","[0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [","of realzations noise_profile = [1] # Noise type ################################################### # control parameters pulse_shape","5 # Number of pulses per sequence #################################################### # Generate the dataset sim_parameters","# dimension of the system Omega = 12 # qubit energy gap static_operators","# Evolution time M = 1024 # Number of time steps num_ex =","time steps num_ex = 10000 # Number of examples batch_size = 50 #","batch size for TF ################################################## # noise parameters K = 2000 # Number","Control pulse shape num_pulses = 5 # Number of pulses per sequence ####################################################","1024 # Number of time steps num_ex = 10000 # Number of examples","# Number of time steps num_ex = 10000 # Number of examples batch_size","Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T = 1 # Evolution","sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\",","# meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2","M = 1024 # Number of time steps num_ex = 10000 # Number","np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name =","of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T","time M = 1024 # Number of time steps num_ex = 10000 #","# quantum parameters dim = 2 # dimension of the system Omega =","of examples batch_size = 50 # batch size for TF ################################################## # noise","# batch size for TF ################################################## # noise parameters K = 2000 #","= 5 # Number of pulses per sequence #################################################### # Generate the dataset","qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T =","parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses = 5 # Number","dimension of the system Omega = 12 # qubit energy gap static_operators =","meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim = 2 #","################################################### # control parameters pulse_shape = \"Gaussian\" # Control pulse shape num_pulses =","# Number of pulses per sequence #################################################### # Generate the dataset sim_parameters =","2000 # Number of realzations noise_profile = [1] # Noise type ################################################### #","Number of realzations noise_profile = [1] # Noise type ################################################### # control parameters","12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators =","<reponame>eperrier/QDataSet ############################################## \"\"\" This module generate a dataset \"\"\" ############################################## # preample import","pulse shape num_pulses = 5 # Number of pulses per sequence #################################################### #","system Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift","measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T = 1","energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control","quantum parameters dim = 2 # dimension of the system Omega = 12","# measurement operators ################################################## # simulation parameters T = 1 # Evolution time","############################################## \"\"\" This module generate a dataset \"\"\" ############################################## # preample import numpy","from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \"G_1q_X_Z_N1\"","np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:] # measurement","in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\",","= dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\",","np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators","[0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]]","state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters","np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:]","2 # dimension of the system Omega = 12 # qubit energy gap","[(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\",","################################################ # meta parameters name = \"G_1q_X_Z_N1\" ################################################ # quantum parameters dim =","num_ex = 10000 # Number of examples batch_size = 50 # batch size","10000 # Number of examples batch_size = 50 # batch size for TF","size for TF ################################################## # noise parameters K = 2000 # Number of","dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\",","= 2 # dimension of the system Omega = 12 # qubit energy","# Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\", \"dim\",","################################################ # quantum parameters dim = 2 # dimension of the system Omega","dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states","T = 1 # Evolution time M = 1024 # Number of time","of time steps num_ex = 10000 # Number of examples batch_size = 50","#################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in [\"name\",","[\"name\", \"dim\", \"Omega\", \"static_operators\", \"dynamic_operators\", \"noise_operators\", \"measurement_operators\", \"initial_states\", \"T\", \"M\", \"num_ex\", \"batch_size\", \"K\",","= 2000 # Number of realzations noise_profile = [1] # Noise type ###################################################","noise parameters K = 2000 # Number of realzations noise_profile = [1] #","# Control pulse shape num_pulses = 5 # Number of pulses per sequence"],"string":"[\n \"# preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################\",\n \"drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise\",\n \"as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name\",\n \"parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 # dimension\",\n \"for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\",\",\n \"This module generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy as np\",\n \"simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters\",\n \"# control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses = 5\",\n \"] # intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ##################################################\",\n \"\\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\",\",\n \"measurement operators ################################################## # simulation parameters T = 1 # Evolution time M\",\n \"realzations noise_profile = [1] # Noise type ################################################### # control parameters pulse_shape =\",\n \"= 50 # batch size for TF ################################################## # noise parameters K =\",\n \"type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses\",\n \"= \\\"Gaussian\\\" # Control pulse shape num_pulses = 5 # Number of pulses\",\n \"Evolution time M = 1024 # Number of time steps num_ex = 10000\",\n \"qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] #\",\n \"= Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T = 1 #\",\n \"of pulses per sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k))\",\n \"\\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters)\",\n \"dim = 2 # dimension of the system Omega = 12 # qubit\",\n \"= 10000 # Number of examples batch_size = 50 # batch size for\",\n \"= \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 # dimension of the\",\n \"parameters K = 2000 # Number of realzations noise_profile = [1] # Noise\",\n \"examples batch_size = 50 # batch size for TF ################################################## # noise parameters\",\n \"[1] # Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control\",\n \"sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in\",\n \"Number of examples batch_size = 50 # batch size for TF ################################################## #\",\n \"Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\",\",\n \"intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation\",\n \"control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses = 5 #\",\n \"import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta\",\n \"noise_profile = [1] # Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\"\",\n \"Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state\",\n \"the system Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] #\",\n \"\\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"]\",\n \"gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian\",\n \"steps num_ex = 10000 # Number of examples batch_size = 50 # batch\",\n \"[ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators\",\n \"Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape\",\n \"# Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse\",\n \"# simulation parameters T = 1 # Evolution time M = 1024 #\",\n \"k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\",\",\n \"CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim\",\n \"Number of pulses per sequence #################################################### # Generate the dataset sim_parameters = dict(\",\n \"initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of\",\n \"= 1024 # Number of time steps num_ex = 10000 # Number of\",\n \"noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]),\",\n \"\\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 # dimension of the system\",\n \"a dataset \\\"\\\"\\\" ############################################## # preample import numpy as np from utilites import\",\n \"Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum\",\n \"operators ################################################## # simulation parameters T = 1 # Evolution time M =\",\n \"\\\"Gaussian\\\" # Control pulse shape num_pulses = 5 # Number of pulses per\",\n \"\\\"\\\"\\\" ############################################## # preample import numpy as np from utilites import Pauli_operators, simulate,\",\n \"static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators\",\n \"K = 2000 # Number of realzations noise_profile = [1] # Noise type\",\n \"Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian\",\n \"\\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\",\",\n \"numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters\",\n \"\\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ]) CheckNoise(sim_parameters) simulate(sim_parameters) ####################################################\",\n \"pulses per sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for\",\n \"parameters T = 1 # Evolution time M = 1024 # Number of\",\n \"# noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] #\",\n \"noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial\",\n \"################################################## # simulation parameters T = 1 # Evolution time M = 1024\",\n \"per sequence #################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for k\",\n \"batch_size = 50 # batch size for TF ################################################## # noise parameters K\",\n \"Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]),\",\n \"# qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]]\",\n \"# intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## #\",\n \"Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian\",\n \"Number of time steps num_ex = 10000 # Number of examples batch_size =\",\n \"50 # batch size for TF ################################################## # noise parameters K = 2000\",\n \"1 # Evolution time M = 1024 # Number of time steps num_ex\",\n \"TF ################################################## # noise parameters K = 2000 # Number of realzations noise_profile\",\n \"num_pulses = 5 # Number of pulses per sequence #################################################### # Generate the\",\n \"dataset \\\"\\\"\\\" ############################################## # preample import numpy as np from utilites import Pauli_operators,\",\n \"np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:] #\",\n \"= 1 # Evolution time M = 1024 # Number of time steps\",\n \"[0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ]\",\n \"dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\",\",\n \"import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ #\",\n \"the dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\",\",\n \"parameters dim = 2 # dimension of the system Omega = 12 #\",\n \"simulation parameters T = 1 # Evolution time M = 1024 # Number\",\n \"# control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]),\",\n \"= [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]])\",\n \"= [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators =\",\n \"\\\"\\\"\\\" This module generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy as\",\n \"of the system Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega]\",\n \"############################################## # preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise\",\n \"control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]),\",\n \"# drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] #\",\n \"shape num_pulses = 5 # Number of pulses per sequence #################################################### # Generate\",\n \"module generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy as np from\",\n \"= 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators\",\n \"################################################## # noise parameters K = 2000 # Number of realzations noise_profile =\",\n \"for TF ################################################## # noise parameters K = 2000 # Number of realzations\",\n \"# noise parameters K = 2000 # Number of realzations noise_profile = [1]\",\n \"utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################\",\n \"# Number of examples batch_size = 50 # batch size for TF ##################################################\",\n \"pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses = 5 # Number of\",\n \"preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################ #\",\n \"\\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ])\",\n \"# Number of realzations noise_profile = [1] # Noise type ################################################### # control\",\n \"= [1] # Noise type ################################################### # control parameters pulse_shape = \\\"Gaussian\\\" #\",\n \"generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy as np from utilites\",\n \"np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators =\",\n \"\\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\", \\\"noise_profile\\\", \\\"pulse_shape\\\", \\\"num_pulses\\\"] ]) CheckNoise(sim_parameters)\",\n \"= [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states =\",\n \"= [ np.array([[0.5,0.5],[0.5,0.5]]), np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit\",\n \"name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 # dimension of\",\n \"[0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states = [\",\n \"of realzations noise_profile = [1] # Noise type ################################################### # control parameters pulse_shape\",\n \"5 # Number of pulses per sequence #################################################### # Generate the dataset sim_parameters\",\n \"# dimension of the system Omega = 12 # qubit energy gap static_operators\",\n \"# Evolution time M = 1024 # Number of time steps num_ex =\",\n \"time steps num_ex = 10000 # Number of examples batch_size = 50 #\",\n \"batch size for TF ################################################## # noise parameters K = 2000 # Number\",\n \"Control pulse shape num_pulses = 5 # Number of pulses per sequence ####################################################\",\n \"1024 # Number of time steps num_ex = 10000 # Number of examples\",\n \"# Number of time steps num_ex = 10000 # Number of examples batch_size\",\n \"Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T = 1 # Evolution\",\n \"sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\",\",\n \"# meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2\",\n \"M = 1024 # Number of time steps num_ex = 10000 # Number\",\n \"np from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name =\",\n \"of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T\",\n \"time M = 1024 # Number of time steps num_ex = 10000 #\",\n \"# quantum parameters dim = 2 # dimension of the system Omega =\",\n \"of examples batch_size = 50 # batch size for TF ################################################## # noise\",\n \"# batch size for TF ################################################## # noise parameters K = 2000 #\",\n \"= 5 # Number of pulses per sequence #################################################### # Generate the dataset\",\n \"qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T =\",\n \"parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses = 5 # Number\",\n \"dimension of the system Omega = 12 # qubit energy gap static_operators =\",\n \"meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim = 2 #\",\n \"################################################### # control parameters pulse_shape = \\\"Gaussian\\\" # Control pulse shape num_pulses =\",\n \"# Number of pulses per sequence #################################################### # Generate the dataset sim_parameters =\",\n \"2000 # Number of realzations noise_profile = [1] # Noise type ################################################### #\",\n \"Number of realzations noise_profile = [1] # Noise type ################################################### # control parameters\",\n \"12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators =\",\n \"<reponame>eperrier/QDataSet ############################################## \\\"\\\"\\\" This module generate a dataset \\\"\\\"\\\" ############################################## # preample import\",\n \"pulse shape num_pulses = 5 # Number of pulses per sequence #################################################### #\",\n \"system Omega = 12 # qubit energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift\",\n \"measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters T = 1\",\n \"energy gap static_operators = [0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control\",\n \"quantum parameters dim = 2 # dimension of the system Omega = 12\",\n \"# measurement operators ################################################## # simulation parameters T = 1 # Evolution time\",\n \"############################################## \\\"\\\"\\\" This module generate a dataset \\\"\\\"\\\" ############################################## # preample import numpy\",\n \"from utilites import Pauli_operators, simulate, CheckNoise ################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\"\",\n \"np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:] # measurement\",\n \"in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\",\",\n \"= dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\",\",\n \"np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:] # measurement operators\",\n \"[0.5*Pauli_operators[3]*Omega] # drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]]\",\n \"state of qubit measurement_operators = Pauli_operators[1:] # measurement operators ################################################## # simulation parameters\",\n \"np.array([[0.5,-0.5],[-0.5,0.5]]), np.array([[0.5,-0.5j],[0.5j,0.5]]),np.array([[0.5,0.5j],[-0.5j,0.5]]), np.array([[1,0],[0,0]]), np.array([[0,0],[0,1]]) ] # intial state of qubit measurement_operators = Pauli_operators[1:]\",\n \"2 # dimension of the system Omega = 12 # qubit energy gap\",\n \"[(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\",\",\n \"################################################ # meta parameters name = \\\"G_1q_X_Z_N1\\\" ################################################ # quantum parameters dim =\",\n \"num_ex = 10000 # Number of examples batch_size = 50 # batch size\",\n \"10000 # Number of examples batch_size = 50 # batch size for TF\",\n \"size for TF ################################################## # noise parameters K = 2000 # Number of\",\n \"dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\",\",\n \"= 2 # dimension of the system Omega = 12 # qubit energy\",\n \"# Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\", \\\"dim\\\",\",\n \"################################################ # quantum parameters dim = 2 # dimension of the system Omega\",\n \"dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise Hamiltonian initial_states\",\n \"T = 1 # Evolution time M = 1024 # Number of time\",\n \"of time steps num_ex = 10000 # Number of examples batch_size = 50\",\n \"#################################################### # Generate the dataset sim_parameters = dict( [(k,eval(k)) for k in [\\\"name\\\",\",\n \"[\\\"name\\\", \\\"dim\\\", \\\"Omega\\\", \\\"static_operators\\\", \\\"dynamic_operators\\\", \\\"noise_operators\\\", \\\"measurement_operators\\\", \\\"initial_states\\\", \\\"T\\\", \\\"M\\\", \\\"num_ex\\\", \\\"batch_size\\\", \\\"K\\\",\",\n \"= 2000 # Number of realzations noise_profile = [1] # Noise type ###################################################\",\n \"noise parameters K = 2000 # Number of realzations noise_profile = [1] #\",\n \"# Control pulse shape num_pulses = 5 # Number of pulses per sequence\"\n]","isConversational":false}}},{"rowIdx":774,"cells":{"ngram":{"kind":"list like","value":[],"string":"[]","isConversational":false}}},{"rowIdx":775,"cells":{"ngram":{"kind":"list like","value":["\"\"\" from flask import Blueprint from flask_restful import Api from .resources.user import UserAuth,","module. \"\"\" from flask import Blueprint from flask_restful import Api from .resources.user import","flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an","API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>')","= Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource(","Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow #","-*- coding: utf-8 -*- \"\"\" API definition module. \"\"\" from flask import Blueprint","<filename>user_service/user_service/api.py # -*- coding: utf-8 -*- \"\"\" API definition module. \"\"\" from flask","API definition module. \"\"\" from flask import Blueprint from flask_restful import Api from","-*- \"\"\" API definition module. \"\"\" from flask import Blueprint from flask_restful import",".resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp =","definition module. \"\"\" from flask import Blueprint from flask_restful import Api from .resources.user","coding: utf-8 -*- \"\"\" API definition module. \"\"\" from flask import Blueprint from","from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp","# -*- coding: utf-8 -*- \"\"\" API definition module. \"\"\" from flask import","UserItem, UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api","api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>' )","utf-8 -*- \"\"\" API definition module. \"\"\" from flask import Blueprint from flask_restful","import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related","from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create","import Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow","Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow,","UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api =","from flask import Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem,","import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>'","\"\"\" API definition module. \"\"\" from flask import Blueprint from flask_restful import Api","import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api',","api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth')","Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint","UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__)","blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth,","an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem,","# Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList,","flask import Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList,","Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users')","UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp)"],"string":"[\n \"\\\"\\\"\\\" from flask import Blueprint from flask_restful import Api from .resources.user import UserAuth,\",\n \"module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import Api from .resources.user import\",\n \"flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an\",\n \"API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>')\",\n \"= Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource(\",\n \"Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow #\",\n \"-*- coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint\",\n \"<filename>user_service/user_service/api.py # -*- coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask\",\n \"API definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import Api from\",\n \"-*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import\",\n \".resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp =\",\n \"definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import Api from .resources.user\",\n \"coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint from\",\n \"from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp\",\n \"# -*- coding: utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import\",\n \"UserItem, UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api\",\n \"api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>' )\",\n \"utf-8 -*- \\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful\",\n \"import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related\",\n \"from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create\",\n \"import Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow\",\n \"Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow,\",\n \"UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api =\",\n \"from flask import Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem,\",\n \"import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth') api.add_resource( UserFollow, '/user-follow/<int:follower_id>/<followed_username>'\",\n \"\\\"\\\"\\\" API definition module. \\\"\\\"\\\" from flask import Blueprint from flask_restful import Api\",\n \"import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api',\",\n \"api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth, '/user-auth')\",\n \"Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint\",\n \"UserAuth, UserItem, UserList, UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__)\",\n \"blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem, '/users/<int:id>') api.add_resource(UserAuth,\",\n \"an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users') api.add_resource(UserItem,\",\n \"# Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList,\",\n \"flask import Blueprint from flask_restful import Api from .resources.user import UserAuth, UserItem, UserList,\",\n \"Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp) api.add_resource(UserList, '/users')\",\n \"UserFollow # Create an API-related blueprint api_bp = Blueprint(name='api', import_name=__name__) api = Api(api_bp)\"\n]","isConversational":false}}},{"rowIdx":776,"cells":{"ngram":{"kind":"list like","value":["print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1 =","print(next(cycle1)) # use count to create a simple counter count1 = itertools.count(100, 3)","as long as the # condition of the function is true and then","40, 30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this","cycle iterator can be used to cycle over a collection over and over","print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__ == \"__main__\": main()","max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x = itertools.chain('ABCD',","connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will","met that stops them. they are similar to the # filter built-in function.","the # condition of the function is true and then returns the rest","< 40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT: # some infinite","can be used to cycle over a collection over and over seq1 =","print(list(x)) # dropwhile and takewhile will return values until # a certain condition","non-infinite iterators') values = [10, 5, 20, 30, 40, 50, 40, 30] #","they are similar to the # filter built-in function. # dropwhile will drop","long as the # condition of the function is true and then returns","the function is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values)))","cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create","[10, 5, 20, 30, 40, 50, 40, 30] # accumulate creates an iterator","values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the sequence as","addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x","using iterators. def main(): print('some infinite iterators') # cycle iterator can be used","creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values,","python3 import itertools # itertools is a module that's not technically a set","itertools is a module that's not technically a set of built-in functions but","the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from","# it is part of the standard library that comes with python. #","library that comes with python. # it's useful for for creating and using","infinite iterators # Joe # John # Mike # Joe # John #","['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50, 40, 30]","cycle over a collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1","print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter","then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the","until # a certain condition is met that stops them. they are similar","values from the sequence as long as the # condition of the function","condition of the function is true and then returns the rest of values","itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values until # a","dropwhile and takewhile will return values until # a certain condition is met","= [10, 5, 20, 30, 40, 50, 40, 30] # accumulate creates an","defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences","python. # it's useful for for creating and using iterators. def main(): print('some","30, 40, 50, 40, 30] # accumulate creates an iterator that accumulates/aggregates values","to the # filter built-in function. # dropwhile will drop the values from","set of built-in functions but # it is part of the standard library","simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values","to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile","iterators') # cycle iterator can be used to cycle over a collection over","= itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a","155, 195, 225] # [10, 10, 20, 30, 40, 50, 50, 50] #","sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return","module that's not technically a set of built-in functions but # it is","# Joe # John # 100 # 103 # 106 # some non-infinite","them. they are similar to the # filter built-in function. # dropwhile will","comes with python. # it's useful for for creating and using iterators. def","accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition","of the function is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty,","# dropwhile and takewhile will return values until # a certain condition is","over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1))","# takewhile will keep the values from the sequence as long as the","the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x):","over a collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 =","print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x = itertools.chain('ABCD', '1234')","that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min)))","5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3',","'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50, 40, 30] #","and takewhile will return values until # a certain condition is met that","condition is met that stops them. they are similar to the # filter","values until # a certain condition is met that stops them. they are","# Joe # John # Mike # Joe # John # 100 #","# this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to","takewhile will return values until # a certain condition is met that stops","is a module that's not technically a set of built-in functions but #","# filter built-in function. # dropwhile will drop the values from the sequence","5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4'] #","sequence as long as the # condition of the function is true and","# Mike # Joe # John # 100 # 103 # 106 #","an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max)))","# condition of the function is true and then returns the rest of","counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values =","count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10,","itertools # itertools is a module that's not technically a set of built-in","105, 155, 195, 225] # [10, 10, 20, 30, 40, 50, 50, 50]","that stops them. they are similar to the # filter built-in function. #","creating and using iterators. def main(): print('some infinite iterators') # cycle iterator can","main(): print('some infinite iterators') # cycle iterator can be used to cycle over","5, 20, 30, 40, 50, 40, 30] # accumulate creates an iterator that","over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))","similar to the # filter built-in function. # dropwhile will drop the values","of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the sequence","function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return","data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__ == \"__main__\":","iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values,","'D', '1', '2', '3', '4'] # [40, 50, 40, 30] # [10, 5,","<reponame>ariannasg/python3-essential-training #!usr/bin/env python3 import itertools # itertools is a module that's not technically","print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30, 40,","not technically a set of built-in functions but # it is part of","== \"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators # Joe #","\"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators # Joe # John","built-in function. # dropwhile will drop the values from the sequence as long","# cycle iterator can be used to cycle over a collection over and","# CONSOLE OUTPUT: # some infinite iterators # Joe # John # Mike","# John # 100 # 103 # 106 # some non-infinite iterators #","min))) # use chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x))","as the # condition of the function is true and then returns the","returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values","stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__","John # 100 # 103 # 106 # some non-infinite iterators # [10,","40, 50, 50, 50] # [10, 5, 5, 5, 5, 5, 5, 5]","x < 40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT: # some","#!usr/bin/env python3 import itertools # itertools is a module that's not technically a","and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40","Joe # John # 100 # 103 # 106 # some non-infinite iterators","5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40,","technically a set of built-in functions but # it is part of the","part of the standard library that comes with python. # it's useful for","50, 50] # [10, 5, 5, 5, 5, 5, 5, 5] # ['A',","is met that stops them. they are similar to the # filter built-in","of the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def","35, 65, 105, 155, 195, 225] # [10, 10, 20, 30, 40, 50,","from the sequence as long as the # condition of the function is","__name__ == \"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators # Joe","65, 105, 155, 195, 225] # [10, 10, 20, 30, 40, 50, 50,","[10, 10, 20, 30, 40, 50, 50, 50] # [10, 5, 5, 5,","for for creating and using iterators. def main(): print('some infinite iterators') # cycle","this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect","giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__ ==","\"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to","CONSOLE OUTPUT: # some infinite iterators # Joe # John # Mike #","and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))","# some infinite iterators # Joe # John # Mike # Joe #","infinite iterators') # cycle iterator can be used to cycle over a collection","chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and","values))) # takewhile will keep the values from the sequence as long as","the sequence as long as the # condition of the function is true","30, 40, 50, 50, 50] # [10, 5, 5, 5, 5, 5, 5,","print('some infinite iterators') # cycle iterator can be used to cycle over a","[10, 15, 35, 65, 105, 155, 195, 225] # [10, 10, 20, 30,","will drop the values from the sequence as long as the # condition","collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1))","will keep the values from the sequence as long as the # condition","a certain condition is met that stops them. they are similar to the","then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if","106 # some non-infinite iterators # [10, 15, 35, 65, 105, 155, 195,","some non-infinite iterators # [10, 15, 35, 65, 105, 155, 195, 225] #","# 100 # 103 # 106 # some non-infinite iterators # [10, 15,","it's useful for for creating and using iterators. def main(): print('some infinite iterators')","that's not technically a set of built-in functions but # it is part","non-infinite iterators # [10, 15, 35, 65, 105, 155, 195, 225] # [10,","= [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) #","keep the values from the sequence as long as the # condition of","together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values","# [10, 15, 35, 65, 105, 155, 195, 225] # [10, 10, 20,","the values from the sequence as long as the # condition of the","Joe # John # Mike # Joe # John # 100 # 103","takewhile will keep the values from the sequence as long as the #","# 106 # some non-infinite iterators # [10, 15, 35, 65, 105, 155,","'1', '2', '3', '4'] # [40, 50, 40, 30] # [10, 5, 20,","print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30, 40, 50, 40,","print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x =","225] # [10, 10, 20, 30, 40, 50, 50, 50] # [10, 5,","function. # dropwhile will drop the values from the sequence as long as","# [10, 10, 20, 30, 40, 50, 50, 50] # [10, 5, 5,","and using iterators. def main(): print('some infinite iterators') # cycle iterator can be","values = [10, 5, 20, 30, 40, 50, 40, 30] # accumulate creates","15, 35, 65, 105, 155, 195, 225] # [10, 10, 20, 30, 40,","'1234') print(list(x)) # dropwhile and takewhile will return values until # a certain","of built-in functions but # it is part of the standard library that","itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20,","# 103 # 106 # some non-infinite iterators # [10, 15, 35, 65,","20, 30, 40, 50, 40, 30] # accumulate creates an iterator that accumulates/aggregates","the # filter built-in function. # dropwhile will drop the values from the","100 # 103 # 106 # some non-infinite iterators # [10, 15, 35,","are similar to the # filter built-in function. # dropwhile will drop the","= itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values until #","OUTPUT: # some infinite iterators # Joe # John # Mike # Joe","use count to create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1))","5, 5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2',","rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the","def main(): print('some infinite iterators') # cycle iterator can be used to cycle","10, 20, 30, 40, 50, 50, 50] # [10, 5, 5, 5, 5,","and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep","# ['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50, 40,","seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))","drop the values from the sequence as long as the # condition of","is part of the standard library that comes with python. # it's useful","it is part of the standard library that comes with python. # it's","20, 30, 40, 50, 50, 50] # [10, 5, 5, 5, 5, 5,","functions but # it is part of the standard library that comes with","that comes with python. # it's useful for for creating and using iterators.","50, 50, 50] # [10, 5, 5, 5, 5, 5, 5, 5] #","\"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count","'2', '3', '4'] # [40, 50, 40, 30] # [10, 5, 20, 30]","be used to cycle over a collection over and over seq1 = [\"Joe\",","= itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5,","to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together","50] # [10, 5, 5, 5, 5, 5, 5, 5] # ['A', 'B',","accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) #","count to create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1))","is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile","# accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to","x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values until","a set of built-in functions but # it is part of the standard","is_less_than_forty(x): return x < 40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT:","standard library that comes with python. # it's useful for for creating and","[\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use","40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators","5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50,","Mike # Joe # John # 100 # 103 # 106 # some","certain condition is met that stops them. they are similar to the #","# John # Mike # Joe # John # 100 # 103 #","103 # 106 # some non-infinite iterators # [10, 15, 35, 65, 105,","function is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) #","5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4']","for creating and using iterators. def main(): print('some infinite iterators') # cycle iterator","to create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some","condition of the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values)))","values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use","print('some non-infinite iterators') values = [10, 5, 20, 30, 40, 50, 40, 30]","[10, 5, 5, 5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D',","def is_less_than_forty(x): return x < 40 if __name__ == \"__main__\": main() # CONSOLE","is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x","iterators') values = [10, 5, 20, 30, 40, 50, 40, 30] # accumulate","print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30, 40, 50,","50, 40, 30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) #","if __name__ == \"__main__\": main() # CONSOLE OUTPUT: # some infinite iterators #","iterators. def main(): print('some infinite iterators') # cycle iterator can be used to","values))) def is_less_than_forty(x): return x < 40 if __name__ == \"__main__\": main() #","print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1","# use count to create a simple counter count1 = itertools.count(100, 3) print(next(count1))","use chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile","return x < 40 if __name__ == \"__main__\": main() # CONSOLE OUTPUT: #","# some non-infinite iterators # [10, 15, 35, 65, 105, 155, 195, 225]","30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults","the # condition of the function is true and then stops giving data","true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x <","itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple","iterators # Joe # John # Mike # Joe # John # 100","a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators')","built-in functions but # it is part of the standard library that comes","# it's useful for for creating and using iterators. def main(): print('some infinite","John # Mike # Joe # John # 100 # 103 # 106","40, 50, 40, 30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values)))","will return values until # a certain condition is met that stops them.","print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain","'C', 'D', '1', '2', '3', '4'] # [40, 50, 40, 30] # [10,","but # it is part of the standard library that comes with python.","a module that's not technically a set of built-in functions but # it","195, 225] # [10, 10, 20, 30, 40, 50, 50, 50] # [10,","dropwhile will drop the values from the sequence as long as the #","# condition of the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty,","with python. # it's useful for for creating and using iterators. def main():","to cycle over a collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"]","long as the # condition of the function is true and then stops","5, 5, 5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1',","return values until # a certain condition is met that stops them. they","create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite","# [10, 5, 5, 5, 5, 5, 5, 5] # ['A', 'B', 'C',","some infinite iterators # Joe # John # Mike # Joe # John","import itertools # itertools is a module that's not technically a set of","stops them. they are similar to the # filter built-in function. # dropwhile","iterators # [10, 15, 35, 65, 105, 155, 195, 225] # [10, 10,","the standard library that comes with python. # it's useful for for creating","filter built-in function. # dropwhile will drop the values from the sequence as","of the standard library that comes with python. # it's useful for for","used to cycle over a collection over and over seq1 = [\"Joe\", \"John\",","# a certain condition is met that stops them. they are similar to","true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will","useful for for creating and using iterators. def main(): print('some infinite iterators') #","# use chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) #","a collection over and over seq1 = [\"Joe\", \"John\", \"Mike\"] cycle1 = itertools.cycle(seq1)","# itertools is a module that's not technically a set of built-in functions","3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30,","print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the sequence as long","print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1 = itertools.count(100,","as the # condition of the function is true and then stops giving","iterator can be used to cycle over a collection over and over seq1","# dropwhile will drop the values from the sequence as long as the","main() # CONSOLE OUTPUT: # some infinite iterators # Joe # John #"],"string":"[\n \"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1 =\",\n \"print(next(cycle1)) # use count to create a simple counter count1 = itertools.count(100, 3)\",\n \"as long as the # condition of the function is true and then\",\n \"40, 30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this\",\n \"cycle iterator can be used to cycle over a collection over and over\",\n \"print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\": main()\",\n \"max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x = itertools.chain('ABCD',\",\n \"connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will\",\n \"met that stops them. they are similar to the # filter built-in function.\",\n \"the # condition of the function is true and then returns the rest\",\n \"< 40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite\",\n \"can be used to cycle over a collection over and over seq1 =\",\n \"print(list(x)) # dropwhile and takewhile will return values until # a certain condition\",\n \"non-infinite iterators') values = [10, 5, 20, 30, 40, 50, 40, 30] #\",\n \"they are similar to the # filter built-in function. # dropwhile will drop\",\n \"long as the # condition of the function is true and then returns\",\n \"the function is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values)))\",\n \"cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create\",\n \"[10, 5, 20, 30, 40, 50, 40, 30] # accumulate creates an iterator\",\n \"values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the sequence as\",\n \"addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use 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\"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter\",\n \"then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the\",\n \"until # a certain condition is met that stops them. they are similar\",\n \"values from the sequence as long as the # condition of the function\",\n \"condition of the function is true and then returns the rest of values\",\n \"itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values until # a\",\n \"dropwhile and takewhile will return values until # a certain condition is met\",\n \"= [10, 5, 20, 30, 40, 50, 40, 30] # accumulate creates an\",\n \"defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences\",\n \"python. # it's useful for for creating and using iterators. def main(): 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155, 195, 225] # [10, 10, 20, 30, 40, 50, 50, 50]\",\n \"that stops them. they are similar to the # filter built-in function. #\",\n \"creating and using iterators. def main(): print('some infinite iterators') # cycle iterator can\",\n \"main(): print('some infinite iterators') # cycle iterator can be used to cycle over\",\n \"5, 20, 30, 40, 50, 40, 30] # accumulate creates an iterator that\",\n \"over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))\",\n \"similar to the # filter built-in function. # dropwhile will drop the values\",\n \"of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the sequence\",\n \"function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return\",\n \"data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\":\",\n \"iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values,\",\n \"'D', '1', '2', '3', '4'] # [40, 50, 40, 30] # [10, 5,\",\n \"<reponame>ariannasg/python3-essential-training #!usr/bin/env python3 import itertools # itertools is a module that's not technically\",\n \"print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30, 40,\",\n \"not technically a set of built-in functions but # it is part of\",\n \"== \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators # Joe #\",\n \"\\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators # Joe # John\",\n \"built-in function. # dropwhile will drop the values from the sequence as long\",\n \"# cycle iterator can be used to cycle over a collection over and\",\n \"# CONSOLE OUTPUT: # some infinite iterators # Joe # John # Mike\",\n \"# John # 100 # 103 # 106 # some non-infinite iterators #\",\n \"min))) # use chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x))\",\n \"as the # condition of the function is true and then returns the\",\n \"returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values\",\n \"stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__\",\n \"John # 100 # 103 # 106 # some non-infinite iterators # [10,\",\n \"40, 50, 50, 50] # [10, 5, 5, 5, 5, 5, 5, 5]\",\n \"x < 40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some\",\n \"#!usr/bin/env python3 import itertools # itertools is a module that's not technically a\",\n \"and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40\",\n \"Joe # John # 100 # 103 # 106 # some non-infinite iterators\",\n \"5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40,\",\n \"technically a set of built-in functions but # it is part of the\",\n \"part of the standard library that comes with python. # it's useful for\",\n \"50, 50] # [10, 5, 5, 5, 5, 5, 5, 5] # ['A',\",\n \"is met that stops them. they are similar to the # filter built-in\",\n \"of the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def\",\n \"35, 65, 105, 155, 195, 225] # [10, 10, 20, 30, 40, 50,\",\n \"from the sequence as long as the # condition of the function is\",\n \"__name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators # Joe\",\n \"65, 105, 155, 195, 225] # [10, 10, 20, 30, 40, 50, 50,\",\n \"[10, 10, 20, 30, 40, 50, 50, 50] # [10, 5, 5, 5,\",\n \"for for creating and using iterators. def main(): print('some infinite iterators') # cycle\",\n \"this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect\",\n \"giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if __name__ ==\",\n \"\\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to\",\n \"CONSOLE OUTPUT: # some infinite iterators # Joe # John # Mike #\",\n \"and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))\",\n \"# some infinite iterators # Joe # John # Mike # Joe #\",\n \"infinite iterators') # cycle iterator can be used to cycle over a collection\",\n \"chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and\",\n \"values))) # takewhile will keep the values from the sequence as long as\",\n \"the sequence as long as the # condition of the function is true\",\n \"30, 40, 50, 50, 50] # [10, 5, 5, 5, 5, 5, 5,\",\n \"print('some infinite iterators') # cycle iterator can be used to cycle over a\",\n \"[10, 15, 35, 65, 105, 155, 195, 225] # [10, 10, 20, 30,\",\n \"will drop the values from the sequence as long as the # condition\",\n \"collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1))\",\n \"will keep the values from the sequence as long as the # condition\",\n \"a certain condition is met that stops them. they are similar to the\",\n \"then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x < 40 if\",\n \"106 # some non-infinite iterators # [10, 15, 35, 65, 105, 155, 195,\",\n \"some non-infinite iterators # [10, 15, 35, 65, 105, 155, 195, 225] #\",\n \"# 100 # 103 # 106 # some non-infinite iterators # [10, 15,\",\n \"it's useful for for creating and using iterators. def main(): print('some infinite iterators')\",\n \"that's not technically a set of built-in functions but # it is part\",\n \"non-infinite iterators # [10, 15, 35, 65, 105, 155, 195, 225] # [10,\",\n \"= [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) #\",\n \"keep the values from the sequence as long as the # condition of\",\n \"together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values\",\n \"# [10, 15, 35, 65, 105, 155, 195, 225] # [10, 10, 20,\",\n \"the values from the sequence as long as the # condition of the\",\n \"Joe # John # Mike # Joe # John # 100 # 103\",\n \"takewhile will keep the values from the sequence as long as the #\",\n \"# 106 # some non-infinite iterators # [10, 15, 35, 65, 105, 155,\",\n \"'1', '2', '3', '4'] # [40, 50, 40, 30] # [10, 5, 20,\",\n \"print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30, 40, 50, 40,\",\n \"print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together x =\",\n \"225] # [10, 10, 20, 30, 40, 50, 50, 50] # [10, 5,\",\n \"function. # dropwhile will drop the values from the sequence as long as\",\n \"# [10, 10, 20, 30, 40, 50, 50, 50] # [10, 5, 5,\",\n \"and using iterators. def main(): print('some infinite iterators') # cycle iterator can be\",\n \"values = [10, 5, 20, 30, 40, 50, 40, 30] # accumulate creates\",\n \"15, 35, 65, 105, 155, 195, 225] # [10, 10, 20, 30, 40,\",\n \"'1234') print(list(x)) # dropwhile and takewhile will return values until # a certain\",\n \"of built-in functions but # it is part of the standard library that\",\n \"itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20,\",\n \"# 103 # 106 # some non-infinite iterators # [10, 15, 35, 65,\",\n \"20, 30, 40, 50, 40, 30] # accumulate creates an iterator that accumulates/aggregates\",\n \"the # filter built-in function. # dropwhile will drop the values from the\",\n \"100 # 103 # 106 # some non-infinite iterators # [10, 15, 35,\",\n \"are similar to the # filter built-in function. # dropwhile will drop the\",\n \"= itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values until #\",\n \"OUTPUT: # some infinite iterators # Joe # John # Mike # Joe\",\n \"use count to create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1))\",\n \"5, 5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2',\",\n \"rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the\",\n \"def main(): print('some infinite iterators') # cycle iterator can be used to cycle\",\n \"10, 20, 30, 40, 50, 50, 50] # [10, 5, 5, 5, 5,\",\n \"and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep\",\n \"# ['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50, 40,\",\n \"seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1))\",\n \"drop the values from the sequence as long as the # condition of\",\n \"is part of the standard library that comes with python. # it's useful\",\n \"it is part of the standard library that comes with python. # it's\",\n \"20, 30, 40, 50, 50, 50] # [10, 5, 5, 5, 5, 5,\",\n \"functions but # it is part of the standard library that comes with\",\n \"that comes with python. # it's useful for for creating and using iterators.\",\n \"50, 50, 50] # [10, 5, 5, 5, 5, 5, 5, 5] #\",\n \"\\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count\",\n \"'2', '3', '4'] # [40, 50, 40, 30] # [10, 5, 20, 30]\",\n \"be used to cycle over a collection over and over seq1 = [\\\"Joe\\\",\",\n \"= itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5,\",\n \"to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain to connect sequences together\",\n \"50] # [10, 5, 5, 5, 5, 5, 5, 5] # ['A', 'B',\",\n \"accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) #\",\n \"count to create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1))\",\n \"is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile\",\n \"# accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults to\",\n \"x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile and takewhile will return values until\",\n \"a set of built-in functions but # it is part of the standard\",\n \"is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT:\",\n \"standard library that comes with python. # it's useful for for creating and\",\n \"[\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use\",\n \"40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators\",\n \"5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4'] # [40, 50,\",\n \"Mike # Joe # John # 100 # 103 # 106 # some\",\n \"certain condition is met that stops them. they are similar to the #\",\n \"# John # Mike # Joe # John # 100 # 103 #\",\n \"103 # 106 # some non-infinite iterators # [10, 15, 35, 65, 105,\",\n \"function is true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) #\",\n \"5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1', '2', '3', '4']\",\n \"for creating and using iterators. def main(): print('some infinite iterators') # cycle iterator\",\n \"to create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some\",\n \"condition of the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values)))\",\n \"values print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use\",\n \"print('some non-infinite iterators') values = [10, 5, 20, 30, 40, 50, 40, 30]\",\n \"[10, 5, 5, 5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D',\",\n \"def is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\": main() # CONSOLE\",\n \"is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x\",\n \"iterators') values = [10, 5, 20, 30, 40, 50, 40, 30] # accumulate\",\n \"print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30, 40, 50,\",\n \"50, 40, 30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) #\",\n \"if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: # some infinite iterators #\",\n \"iterators. def main(): print('some infinite iterators') # cycle iterator can be used to\",\n \"values))) def is_less_than_forty(x): return x < 40 if __name__ == \\\"__main__\\\": main() #\",\n \"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1\",\n \"# use count to create a simple counter count1 = itertools.count(100, 3) print(next(count1))\",\n \"use chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) # dropwhile\",\n \"return x < 40 if __name__ == \\\"__main__\\\": main() # CONSOLE OUTPUT: #\",\n \"# some non-infinite iterators # [10, 15, 35, 65, 105, 155, 195, 225]\",\n \"30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values))) # this defaults\",\n \"the # condition of the function is true and then stops giving data\",\n \"true and then stops giving data print(list(itertools.takewhile(is_less_than_forty, values))) def is_less_than_forty(x): return x <\",\n \"itertools.cycle(seq1) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple\",\n \"iterators # Joe # John # Mike # Joe # John # 100\",\n \"a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators')\",\n \"built-in functions but # it is part of the standard library that comes\",\n \"# it's useful for for creating and using iterators. def main(): print('some infinite\",\n \"John # Mike # Joe # John # 100 # 103 # 106\",\n \"40, 50, 40, 30] # accumulate creates an iterator that accumulates/aggregates values print(list(itertools.accumulate(values)))\",\n \"will return values until # a certain condition is met that stops them.\",\n \"print(list(itertools.accumulate(values))) # this defaults to addition print(list(itertools.accumulate(values, max))) print(list(itertools.accumulate(values, min))) # use chain\",\n \"'C', 'D', '1', '2', '3', '4'] # [40, 50, 40, 30] # [10,\",\n \"but # it is part of the standard library that comes with python.\",\n \"a module that's not technically a set of built-in functions but # it\",\n \"195, 225] # [10, 10, 20, 30, 40, 50, 50, 50] # [10,\",\n \"dropwhile will drop the values from the sequence as long as the #\",\n \"# condition of the function is true and then stops giving data print(list(itertools.takewhile(is_less_than_forty,\",\n \"with python. # it's useful for for creating and using iterators. def main():\",\n \"to cycle over a collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"]\",\n \"long as the # condition of the function is true and then stops\",\n \"5, 5, 5, 5, 5, 5, 5] # ['A', 'B', 'C', 'D', '1',\",\n \"return values until # a certain condition is met that stops them. they\",\n \"create a simple counter count1 = itertools.count(100, 3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite\",\n \"# [10, 5, 5, 5, 5, 5, 5, 5] # ['A', 'B', 'C',\",\n \"some infinite iterators # Joe # John # Mike # Joe # John\",\n \"import itertools # itertools is a module that's not technically a set of\",\n \"stops them. they are similar to the # filter built-in function. # dropwhile\",\n \"iterators # [10, 15, 35, 65, 105, 155, 195, 225] # [10, 10,\",\n \"the standard library that comes with python. # it's useful for for creating\",\n \"filter built-in function. # dropwhile will drop the values from the sequence as\",\n \"of the standard library that comes with python. # it's useful for for\",\n \"used to cycle over a collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\",\",\n \"# a certain condition is met that stops them. they are similar to\",\n \"true and then returns the rest of values print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will\",\n \"useful for for creating and using iterators. def main(): print('some infinite iterators') #\",\n \"# use chain to connect sequences together x = itertools.chain('ABCD', '1234') print(list(x)) #\",\n \"a collection over and over seq1 = [\\\"Joe\\\", \\\"John\\\", \\\"Mike\\\"] cycle1 = itertools.cycle(seq1)\",\n \"# itertools is a module that's not technically a set of built-in functions\",\n \"3) print(next(count1)) print(next(count1)) print(next(count1)) print('some non-infinite iterators') values = [10, 5, 20, 30,\",\n \"print(list(itertools.dropwhile(is_less_than_forty, values))) # takewhile will keep the values from the sequence as long\",\n \"print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1 = itertools.count(100,\",\n \"as the # condition of the function is true and then stops giving\",\n \"iterator can be used to cycle over a collection over and over seq1\",\n \"# dropwhile will drop the values from the sequence as long as the\",\n \"main() # CONSOLE OUTPUT: # some infinite iterators # Joe # John #\"\n]","isConversational":false}}},{"rowIdx":777,"cells":{"ngram":{"kind":"list like","value":["str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você","= str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de","chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa","self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def","codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco)","nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone","= int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self):","self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode","pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa no número","str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\")","class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome =","def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco","def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode","de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa no número {self.__telefone}.\")","endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone =","= str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self):","str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa","<gh_stars>0 class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome","self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def","print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para","essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta pessoa no","pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar para esta","int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você","= str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar","self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa","__init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco =","telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone)","imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você pode ligar","Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome)"],"string":"[\n \"str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você\",\n \"= str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de\",\n \"chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa\",\n \"self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def\",\n \"codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco)\",\n \"nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone\",\n \"= int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self):\",\n \"self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode\",\n \"pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa no número\",\n \"str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\")\",\n \"class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome =\",\n \"def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco\",\n \"def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode\",\n \"de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa no número {self.__telefone}.\\\")\",\n \"endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone =\",\n \"= str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self):\",\n \"str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa\",\n \"<gh_stars>0 class Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome\",\n \"self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def\",\n \"print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para\",\n \"essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta pessoa no\",\n \"pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar para esta\",\n \"int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você\",\n \"= str(nome) self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar\",\n \"self._endereco = str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\\\"Você pode chamar essa pessoa\",\n \"__init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco =\",\n \"telefone): self.__codigo = int(codigo) self.nome = str(nome) self._endereco = str(endereco) self.__telefone = str(telefone)\",\n \"imprimeNome(self): print(f\\\"Você pode chamar essa pessoa de {self.nome}.\\\") def __imprimeTelefone(self): print(f\\\"Você pode ligar\",\n \"Pessoa: def __init__(self, codigo, nome, endereco, telefone): self.__codigo = int(codigo) self.nome = str(nome)\"\n]","isConversational":false}}},{"rowIdx":778,"cells":{"ngram":{"kind":"list like","value":[],"string":"[]","isConversational":false}}},{"rowIdx":779,"cells":{"ngram":{"kind":"list like","value":["parse different inputs includeing system specifications, flag arguments, execution parameters, user parameters and","to define the break error level. maxerrors : int or bool, optional The","`table`. directory : str, optional The argument is used to set logging file","html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in","'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK',","Parameters are the same as for creatrion. Parameters ---------- app : str, optional","can contaion any parameter of formatter # that must be customized. if isinstance(format,","`rectype` argument. Values are used in formatting. So if you wish to modify","error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\"","different outputs: console, file, email, database table, HTML document - and using information","message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs)","= None self.version = None # Some logger important attributes self._start_date = dt.datetime.now()","it is string then it must describe records format. # When it is","self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control,","the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as","parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize =","method with no name. Parameters ---------- name : str, optional The argument is","is used to set the `app` attribute. desc : str, optional The argument","or disable execution break in case on error. The default is True. maxsize","are the same as for creatrion. Parameters ---------- app : str, optional The","is used to filter debug records. warning : bool, optional The argument is","the alarming mechanism for this certain call. level : int The argument is","pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which","email message. Note that SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs)","can be accessed by native logbook methods or by calling `getlogger()` method with","alarm is needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs):","`Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger","if hasattr(self, 'filters') is False: self.filters = {} for key, value in {'info':","output. Parameters ---------- record : Record The argument is used to send it","{'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages","message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date =","optional The argument is used to configure DB connection. format : str, optional","Parameters ---------- app : str, optional The argument is used to set the","open or close output `html`. table : bool, optional The argument is used","elif value is False: getattr(self.root, key).close() # Customize output file path. path =","stored in the instance attribute rectypes. If you wish to use own record","used to enable or disable execution break in case on error. maxsize :","str The message that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None,","return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self):","dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass","exists yet or just customize it. # Parameter format can be either string","table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console':","is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming","is used to set logging file extension. smtp : dict, optional The argument","configure the logger and all its attributes. This is an only one right","message or '' self.record(rectype, message, **kwargs) # Break execution in case of critical","by native logbook methods or by calling `getlogger()` method with no name. Parameters","datetime.datetime Date when logging was started. rectypes : dict All available record types.","permitted. # The alarm will be generated at exit if it is configured.","= maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date()","False: self.filters = {} for key, value in {'info': info, 'debug': debug, 'error':","to filter info records. The default is True. debug : bool, optional The","the type NONE. That can be changed but depends on available record types.","bool, optional The argument is used to open or close output `table`. directory","| +---------+---------+ messages : dict Messages that are printed with some `Logger` methods","is True: self.desc = desc if isinstance(version, (str, int, float)) is True: self.version","define maximun number of errors. The default is False which means it is","argument is used to filter error records. The default is True. critical :","to filter error records. critical : bool, optional The argument is used to","Parameters ---------- rectype : str By default method creates the record with the","length=None): \"\"\"Write horizontal border in the output. Useful when need to separate different","argument is used to set the `desc` attribute. version : str, optional The","= f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text","execution was not aborted but alarm is needed. if alarming is True: self.root.email.alarm()","is used to enable or disable alarming mechanism. control : bool, optional The","**kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype,","and message formatting. \"\"\" self._with_error = True self._count_errors += 1 format = self.formatter.error","Break execution in case of critical error if permitted. # The alarm will","None else format # Parse the error. err_type, err_value, err_tb = sys.exc_info() if","that we are logging. desc : str Description of the application that we","application that we are logging. start_date : datetime.datetime Date when logging was started.","as logbook import sys import time import traceback from .conf import all_loggers from","message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs)","bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self,","is an only one right way to customize logger. Parameters are the same","'email': email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if","is used to set record template. info : bool, optional The argument is","as a python script file. It can be accessed by native logbook methods","str Description of the application that we are logging. version : str Version","The argument is used to filter info records. The default is True. debug","is used to filter info records. debug : bool, optional The argument is","Keys are used in `Logger` write methods as `rectype` argument. Values are used","bool, optional The argument is used to open or close output `email`. html","higher the break level will interrupt application execution. The default is 1. maxerrors","+ '\\n') pass def blank(self, number=1): \"\"\"Write blank lines in the output. Parameters","bool, optional The argument is used to enable or disable execution break in","optional The message that must be written instead of exception. rectype : str,","maxdays : int or bool, optional The argument is used to define maximum","then just add it to that dictinary. By default we provide the next","10 Mb. maxdays : int or bool, optional The argument is used to","or bool, optional The argument is used to define the break error level","the exception according to `formatter.error` string presentation. If `formatter.error` is set to `False`","rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs):","bool, optional The argument is used to enable or disable alarming mechanism. The","**kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info'","one must be opened. \"\"\" if self.root.file.status is True: if self._maxsize is not","formatting. \"\"\" if self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error,","or bool, optional The argument is used to define maximum size of output","days that will be logged to same file. maxlevel : int or bool,","isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is","error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the","and all its attributes. This is an only one right way to customize","directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True,","to `formatter.error` string presentation. If `formatter.error` is set to `False` the exception will","__str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging","set that parameter to `True`. **kwargs The keyword arguments used for additional forms","alarming : bool The argument is used to enable or disable the alarming","available record types. Keys are used in `Logger` write methods as `rectype` argument.","optional The argument is used to open or close output `console`. file :","Name of the logger. app : str Name of the application that we","creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return","from .output import Root from .record import Record from .sysinfo import Sysinfo class","warning : bool, optional The argument is used to filter warning records. error","f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text with the new line","The argument is used to filter debug records. The default is False. warning","to set logging file extension. smtp : dict, optional The argument is used","Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration","def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message =","line(self, message): \"\"\"Send raw text with the new line to the output. Parameters","the error. if self._alarming is True and self._with_error is True: self.root.email.alarm() pass def","to filter critical records. alarming : bool, optional The argument is used to","but alarm is needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None,","---------- rectype : str By default method creates the record with the type","for record and message formatting. \"\"\" self._with_error = True self._count_errors += 1 format","be just printed in original Python style. Also method will send an alarm","optional The argument is used te define `name` attribute app : str, optional","smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2,","represents a single logger. Logger by it self is a complex set of","the date when logger must be restarted according to maxdays parameter. \"\"\" self.__restart_date","error message. alarming : bool The argument is used to enable or disable","presentaion of exeisting one then edit this dictinary. message : str The message","| Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO |","environment variables and transforms all of that to `Dataset` object. Through the `Dataset`","True: if self._maxsize is not False: if self.root.file.size is not None: if self.root.file.size","key).new() elif value is False: getattr(self.root, key).close() # Customize output file path. path","that will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper()","---------- div : str, optional Symbol that is used to bulid the bound.","the `version` attribute. status : bool, optional The argument is used to open","info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message,","The argument is used to open or close output `table`. directory : str,","execution. The default is 1. maxerrors : int or bool, optional The argument","\"\"\"Send raw text with the new line to the output. Parameters ---------- message","'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True:","string presentation. If `formatter.error` is set to `False` the exception will be just","mechanism. The default is True. control : bool, optional The argument is used","the exception will be just printed in original Python style. Also method will","self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in the output. Useful","# Output shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html","limit triggers worked then application will be aborted. Parameters ---------- message : str,","The message that must be written instead of exception. rectype : str, optional","application will be aborted. Parameters ---------- message : str, optional The message that","elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record type filters.","= Header(self) pass def write(self, record): \"\"\"Direct write to the output. Parameters ----------","*args, **kwargs): \"\"\"Send email message. Note that SMTP server connection must be configured.","argument is used to set logging file folder. filename : str, optional The",": str Version of the application that we are logging. start_date : datetime.datetime","open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if","|ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that are","Set exit function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name]","format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or","application during its execution. count_errors : int Number of errors that logger catched","name # Attributes describing the application. self.app = None self.desc = None self.version","set logging file folder. filename : str, optional The argument is used to","optional The argument is used to open or close output `file`. email :","logger will have the same name as a python script file. It can",": dict Messages that are printed with some `Logger` methods like `ok()`, `success()`,","the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory,","set logging file name. extension : str, optional The argument is used to","* self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank lines in","argument is used to enable or disable the alarming mechanism for this certain","is requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email,","length : int, optional Lenght of the bound. \"\"\" border = self.formatter.div *","The keyword arguments used for additional forms (variables) for record and message formatting.","version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,","email output is enabled and SMTP server is configurated. If one of the","int The argument is used to describe the error level. **kwargs The keyword","customize it. # Parameter format can be either string or dictionary. # When","all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__","file statistics to catch when current file must be closed and new one","**kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype,","True. control : bool, optional The argument is used to enable or disable","when logging was started. rectypes : dict All available record types. Keys are","email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if key","error level. maxerrors : int or bool, optional The argument is used to","self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console,","argument is used to define maximun number of errors. \"\"\" if isinstance(app, str)","text with the new line to the output. Parameters ---------- message : str","set the `version` attribute. status : bool, optional The argument is used to","is True. critical : bool, optional The argument is used to filter critical","It can be accessed by native logbook methods or by calling `getlogger()` method","not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False:","maximun number of errors. \"\"\" if isinstance(app, str) is True: self.app = app","filter info records. debug : bool, optional The argument is used to filter","All registered record types are stored in the instance attribute rectypes. If you","self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank lines","Main application logger will have the same name as a python script file.","you wish to use own record types then just add it to that","self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger","not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was","self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\"","err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb)","Lenght of the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n')","an alarm if alarming attribute is `True`, email output is enabled and SMTP","the break level will interrupt application execution. The default is 1. maxerrors :","'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory,","self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\"","True: format = {'record': format} if hasattr(self, 'formatter') is False: format = {}","file, email, database table, HTML document - and using information from diffrent inputs:","= 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print","output if it is requested. if hasattr(self, 'root') is False: self.root = Root(self,","= {'record': format} if hasattr(self, 'formatter') is False: format = {} if isinstance(format,","catch when current file must be closed and new one must be opened.","written. error : bool, optional If record is error then set that parameter","argument is used to open or close output `console`. file : bool, optional","that to `Dataset` object. Through the `Dataset` object data can be easily accessed","modify # existing output if it is requested. if hasattr(self, 'root') is False:","format = self.formatter.error if format is None else format # Parse the error.","optional The argument is used to define maximun number of errors. \"\"\" if","used to set logging file folder. filename : str, optional The argument is","header : pypyrus_logbook.header.Header The header that can be printed to the writable output.","or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return","self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if","are logging. start_date : datetime.datetime Date when logging was started. rectypes : dict","arguments used for additional forms (variables) for record and message formatting. \"\"\" self._with_error","self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date","The argument is used to set logging file name. extension : str, optional","default is False which means it is disabled. Attributes ---------- name : str","output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error","be opened at each 00:00:00. maxlevel : int or bool, optional The argument","False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension,","to filter debug records. warning : bool, optional The argument is used to","level=1, **kwargs): \"\"\"Send ERROR record to the output. If exception in current traceback","alarm if execution was not aborted but alarm is needed. if alarming is","errors. \"\"\" if isinstance(app, str) is True: self.app = app if isinstance(desc, str)","are logging. version : str Version of the application that we are logging.","**kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype","self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted according","format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output. If exception in","'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS',","bool, optional The argument is used to open or close output `console`. file","in current traceback exists then method will format the exception according to `formatter.error`","smtp : dict, optional The argument is used to configure SMTP connection. db","define maximum size of output file. Must be presented as number of bytes.",": str, optional The argument is used to set the `version` attribute. status","alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record","will be just printed in original Python style. Also method will send an","close output `email`. html : bool, optional The argument is used to open","= {} for key, value in {'info': info, 'debug': debug, 'error': error, 'warning':","message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message","type filters. if hasattr(self, 'filters') is False: self.filters = {} for key, value","attribute. desc : str, optional The argument is used to set the `desc`","critical records. The default is True. alarming : bool, optional The argument is","if format is None else format # Parse the error. err_type, err_value, err_tb","filters : dict Record types filters. To filter record type just set corresponding","printed to the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True,","format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) #","INFO message with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs)","SMTP server is configurated. If one of the limit triggers worked then application","isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float,","Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new()","to define maximun number of errors. \"\"\" if isinstance(app, str) is True: self.app","self.email = self.root.email self.html = self.root.html self.table = self.root.table # Set exit function.","file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None,","bool, optional The argument is used to open or close output `html`. table","which sets all formatting configuration like record template, error message template, line length","\"\"\"Flag that shows was an error or not.\"\"\" return self._with_error @property def count_errors(self):","bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True:","self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\" string","False: format = {} if isinstance(format, dict) is False else format self.formatter =","requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html,","output. Parameters ---------- message : str The message that must be written. \"\"\"","self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must","True: self._control = control # Initialize sysinfo instance when not exists. if hasattr(self,","0, ERRROR = 1, CRITICAL = 2). All that higher the break level","else: message = message or '' self.record(rectype, message, **kwargs) # Break execution in","\"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if self._alarming is","new line to the output. Parameters ---------- message : str The message that","'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO","key, value in {'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items():","Attributes describing the application. self.app = None self.desc = None self.version = None","output `table`. directory : str, optional The argument is used to set logging","message : str, optional The message that must be written instead of exception.","it. Main application logger will have the same name as a python script","The argument is used to set the `app` attribute. desc : str, optional",": bool, optional The argument is used to filter warning records. error :","to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to","maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the","success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success']","debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype,","execution. count_errors : int Number of errors that logger catched in the application","be aborted. Parameters ---------- message : str, optional The message that must be","is used to enable or disable execution break in case on error. maxsize","logged to same file. The default is 1 which means that new output","the output. If exception in current traceback exists then method will format the","optional The argument is used to open or close output `root`. console :","an unique name which will help to identify it. Main application logger will","def with_error(self): \"\"\"Flag that shows was an error or not.\"\"\" return self._with_error @property","dict) is False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True:","from .header import Header from .output import Root from .record import Record from","output root if it is not exists. In other case modify # existing","in case on error. maxsize : int or bool, optional The argument is","to write records. Parameters ---------- rectype : str By default method creates the","current file must be closed and new one must be opened. \"\"\" if","we are logging. version : str Version of the application that we are","or close output `file`. email : bool, optional The argument is used to","True. alarming : bool, optional The argument is used to enable or disable",".header import Header from .output import Root from .record import Record from .sysinfo","(self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics to catch","records. The default is True. debug : bool, optional The argument is used","that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal","rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG","and systems descriptors. Each logger must have an unique name which will help","def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug'","The default is False. warning : bool, optional The argument is used to","time import traceback from .conf import all_loggers from .formatter import Formatter from .header","by it self is a complex set of methods, items and commands that","__init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None,","if filename is not None: path['name'] = filename if extension is not None:","to set logging file folder. filename : str, optional The argument is used","argument is used to configure SMTP connection. db : dict, optional The argument","Unique name of the logger. self._name = name # Attributes describing the application.","border lines to the output. Parameters ---------- string : str The text that","in case on error. The default is True. maxsize : int or bool,","is not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not","case of critical error if permitted. # The alarm will be generated at","self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write","Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter :","unique name which will help to identify it. Main application logger will have","maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name = name #","'\\n') pass def blank(self, number=1): \"\"\"Write blank lines in the output. Parameters ----------","\"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file","optional The argument is used to enable or disable execution break in case","DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def","output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for","pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message","lines to the output. Parameters ---------- string : str The text that will","is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db)","method to write records. Parameters ---------- rectype : str By default method creates","that parameter to `True`. **kwargs The keyword arguments used for additional forms (variables)","warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure","True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors =","and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger","if directory is not None: path['dir'] = directory if filename is not None:","type of error according to `rectypes` dictionary. format : str, optional The format",": datetime.datetime Date when logging was started. rectypes : dict All available record","The header that can be printed to the writable output. \"\"\" def __init__(self,","err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename)","The argument is used to define the break error level (WARNING = 0,","{'record': format} if hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict)","default method creates the record with the type NONE. That can be changed","argument is used to open or close output `html`. table : bool, optional","optional The argument is used to set logging file folder. filename : str,","db : dict, optional The argument is used to configure DB connection. format","items and commands that together gives funcionality for advanced logging in different outputs:","of exception. rectype : str, optional The type of error according to `rectypes`","used to open or close output `html`. table : bool, optional The argument","you wish to modify `rectype` form then edit appropriate one here. If you","optional The argument is used to filter debug records. warning : bool, optional","string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case text","True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel","if isinstance(value, bool) is True: self.filters[key] = value # Customize limits and parameters","desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None,","self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table","changed but depends on available record types. All registered record types are stored","HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`.","maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and all its","it self is a complex set of methods, items and commands that together","output. Useful when need to separate different blocks of information. Parameters ---------- div","= desc if isinstance(version, (str, int, float)) is True: self.version = version #","DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about","message. alarming : bool The argument is used to enable or disable the","execution parameters, user parameters and environment variables and transforms all of that to","\"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def","(variables) for record and message formatting. \"\"\" if self.filters.get(rectype, True) is True: record","f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype,","object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`.","|warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages","The argument is used to filter error records. The default is True. critical","0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email,","= {} if isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif","or dictionary. # When it is string then it must describe records format.","maximum number of days that will be logged to same file. The default","self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors,","= Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db)","that will be logged to same file. The default is 1 which means",": str The message that must be written. error : bool, optional If","is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename,","or disable the alarming mechanism for this certain call. level : int The","(WARNING = 0, ERRROR = 1, CRITICAL = 2). All that higher the","used in `Logger` write methods as `rectype` argument. Values are used in formatting.","case modify # existing output if it is requested. if hasattr(self, 'root') is","database table, HTML document - and using information from diffrent inputs: user messages,","is not exists. In other case modify # existing output if it is","True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when","maxlevel : int or bool, optional The argument is used to define the","break in case on error. maxsize : int or bool, optional The argument","one right way to customize logger. Parameters are the same as for creatrion.","start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows was","isinstance(app, str) is True: self.app = app if isinstance(desc, str) is True: self.desc","is used to open or close output `html`. table : bool, optional The","to same file. The default is 1 which means that new output file","is not None: path['name'] = filename if extension is not None: path['ext'] =","isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int,","level. **kwargs The keyword arguments used for additional forms (variables) for record and","logger. app : str Name of the application that we are logging. desc","sets all formatting configuration like record template, error message template, line length etc.","used to filter info records. The default is True. debug : bool, optional","# Set exit function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary.","the same as for creatrion. Parameters ---------- app : str, optional The argument","the value of appropriate item. with_errors : int The flag shows that logger","self._alarming = alarming if isinstance(control, bool) is True: self._control = control # Initialize","is used to bulid the bound. length : int, optional Lenght of the","types. All registered record types are stored in the instance attribute rectypes. If","self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is","writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False,","int or bool, optional The argument is used to define the break error","to define maximum number of days that will be logged to same file.","header instance when not exists. if hasattr(self, 'header') is False: self.header = Header(self)","None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE',","bytes. The default is 10 Mb. maxdays : int or bool, optional The","used to set the `desc` attribute. version : str, optional The argument is","self._control = control # Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo')","important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG',","= f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text with the new","text of this messages just edit the value of appropriate item. with_errors :","|info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error","str, optional The argument is used to set the `app` attribute. desc :","int or bool, optional The argument is used to define maximun number of","modify `rectype` form then edit appropriate one here. If you wish to use","used to open or close output `console`. file : bool, optional The argument","All that higher the break level will interrupt application execution. The default is","input object which parse different inputs includeing system specifications, flag arguments, execution parameters,","control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name =","traceback, frames, user parameters, execution arguments and systems descriptors. Each logger must have","is True: self.version = version # Build the output root if it is","|NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING","level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors:","output `console`. file : bool, optional The argument is used to open or","`True`, email output is enabled and SMTP server is configurated. If one of","just edit the value of appropriate item. with_errors : int The flag shows","version : str, optional The argument is used to set the `version` attribute.","def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique","Root from .record import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class","'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete the initial","'filters') is False: self.filters = {} for key, value in {'info': info, 'debug':","\"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def","be logged to same file. The default is 1 which means that new",": str, optional The argument is used to set the `app` attribute. desc","True: self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self, 'filters') is","maximum size of output file. maxdays : int or bool, optional The argument","size of output file. maxdays : int or bool, optional The argument is","To filter record type just set corresponding item value to False. root :","in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj =","`rectype` form then edit appropriate one here. If you wish to use own","will interrupt application execution. The default is 1. maxerrors : int or bool,","is True: self.root.table.configure(**db) # Create formatter in case it is not exists yet","break level will interrupt application execution. The default is 1. maxerrors : int","'\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or ''","if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case it is","format can be either string or dictionary. # When it is string then","INFO message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs)","argument is used to filter info records. The default is True. debug :","`console`. file : bool, optional The argument is used to open or close","def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows","email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True,","optional The argument is used to filter error records. critical : bool, optional","complex set of methods, items and commands that together gives funcionality for advanced","False which means it is disabled. Attributes ---------- name : str Name of","break error level. maxerrors : int or bool, optional The argument is used","self.version = version # Build the output root if it is not exists.","self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send","import pypyrus_logbook as logbook import sys import time import traceback from .conf import","must be written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print","= filename if extension is not None: path['ext'] = extension if len(path) >","is used to filter warning records. The default is True. error : bool,","pass def subhead(self, string): \"\"\"Send subheader as upper-case text between two border lines","pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date()","parameters, execution arguments and systems descriptors. Each logger must have an unique name","= version # Build the output root if it is not exists. In","from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents a single logger. Logger","a complex set of methods, items and commands that together gives funcionality for","break in case on error. The default is True. maxsize : int or","are used in formatting. So if you wish to modify `rectype` form then","the error. err_type, err_value, err_tb = sys.exc_info() if message is None and err_type","ERROR record to the output. If exception in current traceback exists then method","execution in case of critical error if permitted. # The alarm will be","is used to set the `desc` attribute. version : str, optional The argument","set the `desc` attribute. version : str, optional The argument is used to","output `root`. console : bool, optional The argument is used to open or","= True self._count_errors += 1 format = self.formatter.error if format is None else","to enable or disable execution break in case on error. The default is","used to set the `app` attribute. desc : str, optional The argument is","warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value # Customize","argument is used to define maximun number of errors. The default is False","None: path['name'] = filename if extension is not None: path['ext'] = extension if","printed in original Python style. Also method will send an alarm if alarming","pass def line(self, message): \"\"\"Send raw text with the new line to the","err_tb = sys.exc_info() if message is None and err_type is not None: if","False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) #","if key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() #","= self.formatter.error if format is None else format # Parse the error. err_type,","`success()`, `fail()`. If you wish to modify the text of this messages just","True: err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code =","maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming,","**kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\"","configure DB connection. format : str, optional The argument is used to set","\"\"\"Write horizontal border in the output. Useful when need to separate different blocks","user parameters, execution arguments and systems descriptors. Each logger must have an unique","is False: format = {} if isinstance(format, dict) is False else format self.formatter","traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else:","close output `file`. email : bool, optional The argument is used to open",".record import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents a","optional The argument is used to filter info records. The default is True.","operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header","that must be written. error : bool, optional If record is error then","user messages, traceback, frames, user parameters, execution arguments and systems descriptors. Each logger","db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None):","pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system specifications, flag arguments,","debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name",": int The flag shows that logger catched errors in the application during","is used to enable or disable alarming mechanism. The default is True. control","alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file","err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line,","Also method will send an alarm if alarming attribute is `True`, email output","alarming if isinstance(control, bool) is True: self._control = control # Initialize sysinfo instance","control : bool, optional The argument is used to enable or disable execution","or change the presentaion of exeisting one then edit this dictinary. message :","header that can be printed to the writable output. \"\"\" def __init__(self, name=None,","is False which means it is disabled. Attributes ---------- name : str Name","\"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date","app if isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str, int,","# Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter","# Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo","arguments used for additional forms (variables) for record and message formatting. \"\"\" if","used te define `name` attribute app : str, optional The argument is used","to configure SMTP connection. db : dict, optional The argument is used to","used to define maximum number of days that will be logged to same","to the output. Parameters ---------- message : str The message that must be","send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP server connection must be","to the output. If exception in current traceback exists then method will format","error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the","self.header = Header(self) pass def write(self, record): \"\"\"Direct write to the output. Parameters",".sysinfo import Sysinfo class Logger(): \"\"\"This class represents a single logger. Logger by","argument is used to describe the error level. **kwargs The keyword arguments used","else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create","to that dictinary. By default we provide the next few record types: +---------+---------+","server is configurated. If one of the limit triggers worked then application will","The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut","= self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open new","True: self.desc = desc if isinstance(version, (str, int, float)) is True: self.version =","to identify it. Main application logger will have the same name as a","if you wish to modify `rectype` form then edit appropriate one here. If","self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger to","own record types then just add it to that dictinary. By default we","it is disabled. Attributes ---------- name : str Name of the logger. app","is used to filter warning records. error : bool, optional The argument is","bool, optional The argument is used to filter critical records. alarming : bool,","used for additional forms (variables) for record and message formatting. \"\"\" self._with_error =","two border lines to the output. Parameters ---------- string : str The text","alarming mechanism. control : bool, optional The argument is used to enable or","\"\"\"This class represents a single logger. Logger by it self is a complex","errors in the application during its execution. count_errors : int Number of errors","will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string)","number of errors. \"\"\" if isinstance(app, str) is True: self.app = app if","file. The default is 1 which means that new output file will be","is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self,","in the output. Parameters ---------- number : int, optional The number of the","that logger catched in the application during its execution. filters : dict Record","= err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file","def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message =","is dictionary it can contaion any parameter of formatter # that must be","execution. filters : dict Record types filters. To filter record type just set","traceback exists then method will format the exception according to `formatter.error` string presentation.","used to define maximum size of output file. Must be presented as number","str Version of the application that we are logging. start_date : datetime.datetime Date","additional forms (variables) for record and message formatting. \"\"\" if self.filters.get(rectype, True) is","corresponding item value to False. root : pypyrus_logbook.output.Root The output `Root` object. console","then method will format the exception according to `formatter.error` string presentation. If `formatter.error`","console : bool, optional The argument is used to open or close output","configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in table. Note","must be closed and new one must be opened. \"\"\" if self.root.file.status is","bool, optional The argument is used to filter error records. critical : bool,","is True: self._alarming = alarming if isinstance(control, bool) is True: self._control = control","number : int, optional The number of the blank lines that must be","record and message formatting. \"\"\" if self.filters.get(rectype, True) is True: record = Record(self,","pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document.","Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is","output is enabled and SMTP server is configurated. If one of the limit","formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record template,","True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message,","True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP","same as for creatrion. Parameters ---------- app : str, optional The argument is","record with the type NONE. That can be changed but depends on available","self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger to special all_loggers","and using information from diffrent inputs: user messages, traceback, frames, user parameters, execution","table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter","def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters ----------","output. Parameters ---------- string : str The text that will be presented as","is enabled and SMTP server is configurated. If one of the limit triggers","string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\"","smtp=smtp, db=db) else: for key, value in {'console': console, 'file': file, 'email': email,","That can be changed but depends on available record types. All registered record","FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self):","information from diffrent inputs: user messages, traceback, frames, user parameters, execution arguments and","customized. if isinstance(format, str) is True: format = {'record': format} if hasattr(self, 'formatter')","rectype : str, optional The type of error according to `rectypes` dictionary. format","`Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file","isinstance(format, str) is True: format = {'record': format} if hasattr(self, 'formatter') is False:","`file`. email : bool, optional The argument is used to open or close","`sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed to","calling `getlogger()` method with no name. Parameters ---------- name : str, optional The","@property def with_error(self): \"\"\"Flag that shows was an error or not.\"\"\" return self._with_error","for key, value in {'console': console, 'file': file, 'email': email, 'html': html, 'table':","`False` the exception will be just printed in original Python style. Also method","email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value","---------- message : str, optional The message that must be written instead of","The argument is used to enable or disable alarming mechanism. The default is","default is True. control : bool, optional The argument is used to enable","is used to define the break error level. maxerrors : int or bool,","the output. Parameters ---------- record : Record The argument is used to send","the presentaion of exeisting one then edit this dictinary. message : str The","of bytes. The default is 10 Mb. maxdays : int or bool, optional","depends on available record types. All registered record types are stored in the","optional The argument is used to define the break error level (WARNING =","self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table #","will be aborted. Parameters ---------- message : str, optional The message that must","import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents a single","to bulid the bound. length : int, optional Lenght of the bound. \"\"\"","written instead of exception. rectype : str, optional The type of error according","maxlevel=2, maxerrors=False): # Unique name of the logger. self._name = name # Attributes","optional The argument is used to define maximum size of output file. maxdays","= self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank","**kwargs) pass def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now()","the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True,",": str, optional The argument is used to set logging file name. extension","db=db) else: for key, value in {'console': console, 'file': file, 'email': email, 'html':","key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize","__str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger","shows was an error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number","Parameter format can be either string or dictionary. # When it is string","SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs):","or disable alarming mechanism. The default is True. control : bool, optional The","of that to `Dataset` object. Through the `Dataset` object data can be easily","used to set logging file extension. smtp : dict, optional The argument is","hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict) is False else","smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel,","bool, optional The argument is used to filter critical records. The default is","desc if isinstance(version, (str, int, float)) is True: self.version = version # Build","maximum number of days that will be logged to same file. maxlevel :","have an unique name which will help to identify it. Main application logger","if self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not","way to customize logger. Parameters are the same as for creatrion. Parameters ----------","presented as number of bytes. The default is 10 Mb. maxdays : int","default is False. warning : bool, optional The argument is used to filter","control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and all","'header') is False: self.header = Header(self) pass def write(self, record): \"\"\"Direct write to","is configured. if self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors","text between two border lines to the output. Parameters ---------- string : str","close output `console`. file : bool, optional The argument is used to open","if self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record)","table : bool, optional The argument is used to open or close output","error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value","separate different blocks of information. Parameters ---------- div : str, optional Symbol that","argument is used to define the break error level. maxerrors : int or","format the exception according to `formatter.error` string presentation. If `formatter.error` is set to","None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False: if","method to configure the logger and all its attributes. This is an only",": int or bool, optional The argument is used to define maximum size","import Header from .output import Root from .record import Record from .sysinfo import","according to `formatter.error` string presentation. If `formatter.error` is set to `False` the exception","rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart",": bool, optional The argument is used to enable or disable execution break","bool, optional The argument is used to define maximun number of errors. The","attribute. status : bool, optional The argument is used to open or close","that will be logged to same file. maxlevel : int or bool, optional","or by calling `getlogger()` method with no name. Parameters ---------- name : str,","etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system","call. level : int The argument is used to describe the error level.","errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None,","email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error,","|critical |CRITICAL | +---------+---------+ messages : dict Messages that are printed with some","by calling `getlogger()` method with no name. Parameters ---------- name : str, optional",": bool, optional The argument is used to open or close output `html`.","output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic","default is True. critical : bool, optional The argument is used to filter","self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors =","self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table","lines in the output. Parameters ---------- number : int, optional The number of","means it is disabled. Attributes ---------- name : str Name of the logger.","+---------+---------+ messages : dict Messages that are printed with some `Logger` methods like","method creates the record with the type NONE. That can be changed but","html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output","accessed by native logbook methods or by calling `getlogger()` method with no name.","- and using information from diffrent inputs: user messages, traceback, frames, user parameters,","as for creatrion. Parameters ---------- app : str, optional The argument is used","must be opened. \"\"\" if self.root.file.status is True: if self._maxsize is not False:","exception. rectype : str, optional The type of error according to `rectypes` dictionary.","together gives funcionality for advanced logging in different outputs: console, file, email, database","dictionary. format : str, optional The format of the error message. alarming :","optional The format of the error message. alarming : bool The argument is","---------- record : Record The argument is used to send it to the","= '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or",": bool, optional The argument is used to filter critical records. alarming :","self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not False:","'file': file, 'email': email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root,","customize record type filters. if hasattr(self, 'filters') is False: self.filters = {} for","exists then method will format the exception according to `formatter.error` string presentation. If","used to filter warning records. The default is True. error : bool, optional","The argument is used to filter debug records. warning : bool, optional The","'FAIL'} self._with_error = False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app,","is False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format)","self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case text between two border","self is a complex set of methods, items and commands that together gives","define maximum size of output file. maxdays : int or bool, optional The","count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None,","dictionary it can contaion any parameter of formatter # that must be customized.","Through the `Dataset` object data can be easily accessed by get item operation","wish to use own record type or change the presentaion of exeisting one","False. root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output","html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical,","The default is False which means it is disabled. Attributes ---------- name :","open or close output `root`. console : bool, optional The argument is used","argument is used to define maximum size of output file. Must be presented","extension is not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) #","case on error. The default is True. maxsize : int or bool, optional","debug : bool, optional The argument is used to filter debug records. warning","= 2). All that higher the break level will interrupt application execution. The","dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR',","is True: self.app = app if isinstance(desc, str) is True: self.desc = desc","no name. Parameters ---------- name : str, optional The argument is used te","'formatter') is False: format = {} if isinstance(format, dict) is False else format","int Number of errors that logger catched in the application during its execution.","pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output","console, file, email, database table, HTML document - and using information from diffrent","True. debug : bool, optional The argument is used to filter debug records.","self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self, 'filters') is False:","self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays","dict Messages that are printed with some `Logger` methods like `ok()`, `success()`, `fail()`.","float)) is True: self.version = version # Build the output root if it","be presented as number of bytes. The default is 10 Mb. maxdays :","version # Build the output root if it is not exists. In other","of days that will be logged to same file. maxlevel : int or","self._alarming is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the","html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if key == 'file':","The argument is used to define maximum number of days that will be","critical records. alarming : bool, optional The argument is used to enable or","`version` attribute. status : bool, optional The argument is used to open or","# Parse the error. err_type, err_value, err_tb = sys.exc_info() if message is None","def __check_file_stats(self): \"\"\"Check the output file statistics to catch when current file must","extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None,","error. err_type, err_value, err_tb = sys.exc_info() if message is None and err_type is","value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value","template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object","for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1]","the `desc` attribute. version : str, optional The argument is used to set","used to open or close output `email`. html : bool, optional The argument","the application that we are logging. start_date : datetime.datetime Date when logging was","is string then it must describe records format. # When it is dictionary","`Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record","for record and message formatting. \"\"\" if self.filters.get(rectype, True) is True: record =","flag shows that logger catched errors in the application during its execution. count_errors","maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file","self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was not aborted but","DB connection. format : str, optional The argument is used to set record","= dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error':","The default is True. control : bool, optional The argument is used to","message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype : str","the blank lines that must be written. \"\"\" string = '\\n'*number self.write(string) pass","= Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send","directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control,","return self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def","the application that we are logging. desc : str Description of the application","optional The argument is used to set logging file name. extension : str,","the output. Parameters ---------- number : int, optional The number of the blank","str) is True: self.desc = desc if isinstance(version, (str, int, float)) is True:","application that we are logging. desc : str Description of the application that","float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming","attributes. This is an only one right way to customize logger. Parameters are","Sysinfo(self) # Initialize header instance when not exists. if hasattr(self, 'header') is False:","| +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR |","message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype,","if isinstance(app, str) is True: self.app = app if isinstance(desc, str) is True:","with_errors : int The flag shows that logger catched errors in the application",": bool, optional The argument is used to filter info records. debug :","if isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif isinstance(format, dict)","send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype,","connection. db : dict, optional The argument is used to configure DB connection.","= maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel","message = message or '' self.record(rectype, message, **kwargs) # Break execution in case","message, **kwargs) # Break execution in case of critical error if permitted. #","version : str Version of the application that we are logging. start_date :","err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name,","= extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp,","root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output `Console`","bool, optional The argument is used to filter warning records. The default is","is True: self._control = control # Initialize sysinfo instance when not exists. if","disabled. Attributes ---------- name : str Name of the logger. app : str","same file. maxlevel : int or bool, optional The argument is used to","execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if","str Name of the logger. app : str Name of the application that","use own record types then just add it to that dictinary. By default","file. maxlevel : int or bool, optional The argument is used to define","warning records. The default is True. error : bool, optional The argument is","record type filters. if hasattr(self, 'filters') is False: self.filters = {} for key,","to configure DB connection. format : str, optional The argument is used to","rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record","logging file extension. smtp : dict, optional The argument is used to configure","filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10),","is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date","presentation. If `formatter.error` is set to `False` the exception will be just printed","used to enable or disable alarming mechanism. control : bool, optional The argument","**kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass","used to set record template. info : bool, optional The argument is used","dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True:","new one must be opened. \"\"\" if self.root.file.status is True: if self._maxsize is","The argument is used to set the `version` attribute. status : bool, optional","= self.root.email self.html = self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit)","argument is used to filter warning records. error : bool, optional The argument","are used in `Logger` write methods as `rectype` argument. Values are used in","the application during its execution. count_errors : int Number of errors that logger","message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype =","used to set the `version` attribute. status : bool, optional The argument is","str, optional The argument is used to set logging file name. extension :","self.root.file.status is True: if self._maxsize is not False: if self.root.file.size is not None:","True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted","must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border","isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is","WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self,",": bool, optional The argument is used to open or close output `email`.","to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None,","filters. if hasattr(self, 'filters') is False: self.filters = {} for key, value in","self.sysinfo = Sysinfo(self) # Initialize header instance when not exists. if hasattr(self, 'header')","str The message that must be written. error : bool, optional If record",": str, optional The type of error according to `rectypes` dictionary. format :","logger must have an unique name which will help to identify it. Main","alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and","maxsize : int or bool, optional The argument is used to define maximum","aborted. Parameters ---------- message : str, optional The message that must be written","is used to filter info records. The default is True. debug : bool,","optional The argument is used to filter critical records. The default is True.","are printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish","configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension,","optional The argument is used to define maximum size of output file. Must","The argument is used to filter warning records. error : bool, optional The","is True: self.filters[key] = value # Customize limits and parameters of execution behaviour.","days that will be logged to same file. The default is 1 which","new output file will be opened at each 00:00:00. maxlevel : int or","that can be printed to the writable output. \"\"\" def __init__(self, name=None, app=None,","'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors","logging. version : str Version of the application that we are logging. start_date","formatting. So if you wish to modify `rectype` form then edit appropriate one","default we provide the next few record types: +---------+---------+ | Key | Value","Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table:","1, CRITICAL = 2). All that higher the break level will interrupt application","sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() # Send","\"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False,","tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True,","used to bulid the bound. length : int, optional Lenght of the bound.","server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db,","in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value,","in the instance attribute rectypes. If you wish to use own record type","close output `html`. table : bool, optional The argument is used to open","line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs","# Create formatter in case it is not exists yet or just customize","to define maximum size of output file. Must be presented as number of","\"\"\" if self.root.file.status is True: if self._maxsize is not False: if self.root.file.size is","error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send","for additional forms (variables) for record and message formatting. \"\"\" if self.filters.get(rectype, True)","sys.exit() # Send alarm if execution was not aborted but alarm is needed.","Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents a single logger.","template. info : bool, optional The argument is used to filter info records.","own record type or change the presentaion of exeisting one then edit this","logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True:","\"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows was an","smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None,","Create formatter in case it is not exists yet or just customize it.","The argument is used to define maximum size of output file. maxdays :","it is configured. if self._control is True: if level >= self._maxlevel: sys.exit() if","The text that will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string","must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in","'table': table}.items(): if value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root,","Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in","record type or change the presentaion of exeisting one then edit this dictinary.","html : bool, optional The argument is used to open or close output","float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is",": str, optional The argument is used te define `name` attribute app :","def _exit(self): # Inform about the error. if self._alarming is True and self._with_error","str The text that will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n'","else: for key, value in {'console': console, 'file': file, 'email': email, 'html': html,","= traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs)","True. critical : bool, optional The argument is used to filter critical records.","\"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass","\"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property","Symbol that is used to bulid the bound. length : int, optional Lenght","Logger formatter which sets all formatting configuration like record template, error message template,","isinstance(version, (str, int, float)) is True: self.version = version # Build the output","The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file.","count_errors : int Number of errors that logger catched in the application during","to set the `desc` attribute. version : str, optional The argument is used",".formatter import Formatter from .header import Header from .output import Root from .record","is not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize","of the application that we are logging. desc : str Description of the","'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success':","is True. debug : bool, optional The argument is used to filter debug","errors. The default is False which means it is disabled. Attributes ---------- name","SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self,","of the error message. alarming : bool The argument is used to enable","output file. Must be presented as number of bytes. The default is 10","= maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if","message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\"","of information. Parameters ---------- div : str, optional Symbol that is used to","self._count_errors += 1 format = self.formatter.error if format is None else format #","closed and new one must be opened. \"\"\" if self.root.file.status is True: if","if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel,","is True. control : bool, optional The argument is used to enable or","for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like","argument is used to open or close output `root`. console : bool, optional","error : bool, optional The argument is used to filter error records. The","format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main","string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text with the","if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays","Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record type","optional The argument is used to filter warning records. error : bool, optional","used to send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def","records. The default is False. warning : bool, optional The argument is used","describing the application. self.app = None self.desc = None self.version = None #","if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool)","self.restart() return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart() return","methods as `rectype` argument. Values are used in formatting. So if you wish","True. maxsize : int or bool, optional The argument is used to define","is used to define maximun number of errors. \"\"\" if isinstance(app, str) is","Send alarm if execution was not aborted but alarm is needed. if alarming","warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0,","platform import pypyrus_logbook as logbook import sys import time import traceback from .conf",": str Name of the application that we are logging. desc : str","which will help to identify it. Main application logger will have the same","write methods as `rectype` argument. Values are used in formatting. So if you","format = {'record': format} if hasattr(self, 'formatter') is False: format = {} if","argument is used to filter critical records. The default is True. alarming :","then edit this dictinary. message : str The message that must be written.","= 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging.","is used to filter critical records. alarming : bool, optional The argument is","\"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in the output.","records. debug : bool, optional The argument is used to filter debug records.","self.record(rectype, message, **kwargs) # Break execution in case of critical error if permitted.","desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None,","methods, items and commands that together gives funcionality for advanced logging in different","to open or close output `table`. directory : str, optional The argument is","# that must be customized. if isinstance(format, str) is True: format = {'record':","set to `False` the exception will be just printed in original Python style.","used to enable or disable execution break in case on error. The default","few record types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE |","console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if value is True:","optional Symbol that is used to bulid the bound. length : int, optional","parameter of formatter # that must be customized. if isinstance(format, str) is True:",": int The argument is used to describe the error level. **kwargs The","is used to define maximum size of output file. maxdays : int or","datetime as dt import os import platform import pypyrus_logbook as logbook import sys","Date when logging was started. rectypes : dict All available record types. Keys","argument is used to configure DB connection. format : str, optional The argument","was an error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of","argument is used to define the break error level (WARNING = 0, ERRROR","error : bool, optional If record is error then set that parameter to","pypyrus_logbook.header.Header The header that can be printed to the writable output. \"\"\" def","was started. rectypes : dict All available record types. Keys are used in","exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance","err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message =","used to define the break error level (WARNING = 0, ERRROR = 1,","= {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0","is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays","if hasattr(self, 'header') is False: self.header = Header(self) pass def write(self, record): \"\"\"Direct","output file statistics to catch when current file must be closed and new","the logger. self._name = name # Attributes describing the application. self.app = None","file name. extension : str, optional The argument is used to set logging","{} if isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif isinstance(format,","wish to modify `rectype` form then edit appropriate one here. If you wish","info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is","Must be presented as number of bytes. The default is 10 Mb. maxdays","edit this dictinary. message : str The message that must be written. error","certain call. level : int The argument is used to describe the error","pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self):","console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None,","optional The argument is used to configure SMTP connection. db : dict, optional","html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None,","hasattr(self, 'header') is False: self.header = Header(self) pass def write(self, record): \"\"\"Direct write","be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if","types filters. To filter record type just set corresponding item value to False.","that shows was an error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The","import all_loggers from .formatter import Formatter from .header import Header from .output import","worked then application will be aborted. Parameters ---------- message : str, optional The","is True: self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args, **kwargs):","The argument is used to set the `desc` attribute. version : str, optional","The default is 10 Mb. maxdays : int or bool, optional The argument","bool, optional The argument is used to filter info records. debug : bool,","or close output `email`. html : bool, optional The argument is used to","then set that parameter to `True`. **kwargs The keyword arguments used for additional","error. The default is True. maxsize : int or bool, optional The argument","root if it is not exists. In other case modify # existing output","optional The argument is used to open or close output `html`. table :","message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype, message,","info records. debug : bool, optional The argument is used to filter debug","a python script file. It can be accessed by native logbook methods or","isinstance(control, bool) is True: self._control = control # Initialize sysinfo instance when not","argument is used to filter critical records. alarming : bool, optional The argument",": bool, optional The argument is used to open or close output `console`.","dict, optional The argument is used to configure DB connection. format : str,","blocks of information. Parameters ---------- div : str, optional Symbol that is used","Customize output file path. path = {} if directory is not None: path['dir']","= Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record","---------- string : str The text that will be presented as subheader. \"\"\"","bool, optional The argument is used to enable or disable alarming mechanism. control","argument is used to open or close output `file`. email : bool, optional","Parameters ---------- number : int, optional The number of the blank lines that","execution break in case on error. The default is True. maxsize : int","pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in the output. Useful when","# Create or customize record type filters. if hasattr(self, 'filters') is False: self.filters","and SMTP server is configurated. If one of the limit triggers worked then","you wish to use own record type or change the presentaion of exeisting","err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code","for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML","are stored in the instance attribute rectypes. If you wish to use own","to open or close output `html`. table : bool, optional The argument is","record and message formatting. \"\"\" self._with_error = True self._count_errors += 1 format =","its attributes. This is an only one right way to customize logger. Parameters",": str, optional The argument is used to set logging file extension. smtp","as number of bytes. The default is 10 Mb. maxdays : int or","pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to","self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical':","is used to open or close output `root`. console : bool, optional The","{} if directory is not None: path['dir'] = directory if filename is not",": bool, optional The argument is used to filter critical records. The default","to send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self,","+= 1 format = self.formatter.error if format is None else format # Parse","pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message,","types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info","self.app = None self.desc = None self.version = None # Some logger important","self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype","argument is used to set logging file extension. smtp : dict, optional The","of the blank lines that must be written. \"\"\" string = '\\n'*number self.write(string)","be restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass","that together gives funcionality for advanced logging in different outputs: console, file, email,","to define maximum size of output file. maxdays : int or bool, optional","value of appropriate item. with_errors : int The flag shows that logger catched","# The alarm will be generated at exit if it is configured. if","error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console =","Description of the application that we are logging. version : str Version of","records format. # When it is dictionary it can contaion any parameter of","alarm if alarming attribute is `True`, email output is enabled and SMTP server","be accessed by native logbook methods or by calling `getlogger()` method with no","logger catched in the application during its execution. filters : dict Record types","def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None,","optional The type of error according to `rectypes` dictionary. format : str, optional","argument is used to filter error records. critical : bool, optional The argument","import atexit import datetime as dt import os import platform import pypyrus_logbook as","is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value is","it is dictionary it can contaion any parameter of formatter # that must","The argument is used to define maximun number of errors. The default is","self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case text between two","logger to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger","provide the next few record types: +---------+---------+ | Key | Value | +=========+=========+","\"\"\" if isinstance(app, str) is True: self.app = app if isinstance(desc, str) is","self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype","as upper-case text between two border lines to the output. Parameters ---------- string","ERRROR = 1, CRITICAL = 2). All that higher the break level will","if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm","rectype : str By default method creates the record with the type NONE.","def write(self, record): \"\"\"Direct write to the output. Parameters ---------- record : Record","warning records. error : bool, optional The argument is used to filter error","By default we provide the next few record types: +---------+---------+ | Key |","formatter in case it is not exists yet or just customize it. #","used to filter warning records. error : bool, optional The argument is used","be written. error : bool, optional If record is error then set that","enable or disable execution break in case on error. maxsize : int or","self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the","ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message = self.messages['ok']","= 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file,","of the logger. app : str Name of the application that we are","---------- message : str The message that must be written. \"\"\" self.write(f'{message}\\n') pass","maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file self.email","record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype","bool, optional The argument is used to filter debug records. The default is","to filter critical records. The default is True. alarming : bool, optional The","logging was started. rectypes : dict All available record types. Keys are used","If you wish to modify the text of this messages just edit the","to set logging file name. extension : str, optional The argument is used","it must describe records format. # When it is dictionary it can contaion","to same file. maxlevel : int or bool, optional The argument is used","\"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send","= {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'}","aborted but alarm is needed. if alarming is True: self.root.email.alarm() pass def warning(self,","debug records. warning : bool, optional The argument is used to filter warning","when need to separate different blocks of information. Parameters ---------- div : str,","error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None,","the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs):","`Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The","optional The argument is used to enable or disable alarming mechanism. The default","this dictinary. message : str The message that must be written. error :","record): \"\"\"Direct write to the output. Parameters ---------- record : Record The argument","elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message","is used to enable or disable execution break in case on error. The","error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception =","bool, optional The argument is used to filter debug records. warning : bool,","**kwargs) pass def set(self, **kwargs): \"\"\"Update values in table. Note that DB connection","bool, optional The argument is used to filter error records. The default is","The argument is used to configure DB connection. format : str, optional The","is used to open or close output `console`. file : bool, optional The","be printed to the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None,","python script file. It can be accessed by native logbook methods or by","# Build the output root if it is not exists. In other case","system specifications, flag arguments, execution parameters, user parameters and environment variables and transforms","If exception in current traceback exists then method will format the exception according","argument is used to filter debug records. The default is False. warning :","message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype =","hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status,","_exit(self): # Inform about the error. if self._alarming is True and self._with_error is","critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger.","app : str, optional The argument is used to set the `app` attribute.","that we are logging. version : str Version of the application that we","descriptors. Each logger must have an unique name which will help to identify","close output `table`. directory : str, optional The argument is used to set","all its attributes. This is an only one right way to customize logger.","exists. In other case modify # existing output if it is requested. if","message is None and err_type is not None: if isinstance(format, str) is True:","The argument is used to filter critical records. The default is True. alarming","format of the error message. alarming : bool The argument is used to","output file path. path = {} if directory is not None: path['dir'] =","to filter warning records. error : bool, optional The argument is used to","be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in table.","= self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table # Set",": bool, optional The argument is used to open or close output `root`.","Attributes ---------- name : str Name of the logger. app : str Name","argument is used to set logging file name. extension : str, optional The","it can contaion any parameter of formatter # that must be customized. if","pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted according to","yet or just customize it. # Parameter format can be either string or","upper-case text between two border lines to the output. Parameters ---------- string :","True: self._alarming = alarming if isinstance(control, bool) is True: self._control = control #","template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different","will have the same name as a python script file. It can be","class represents a single logger. Logger by it self is a complex set","str, optional The argument is used to set the `desc` attribute. version :","maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool) is","original Python style. Also method will send an alarm if alarming attribute is","format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): #","\"\"\"Write blank lines in the output. Parameters ---------- number : int, optional The","self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self,","file must be closed and new one must be opened. \"\"\" if self.root.file.status","# Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool))","**kwargs): \"\"\"Update values in table. Note that DB connection must be configured. \"\"\"","if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is","table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None,","error records. critical : bool, optional The argument is used to filter critical","True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the","record to the output. If exception in current traceback exists then method will","argument. Values are used in formatting. So if you wish to modify `rectype`","`True`. **kwargs The keyword arguments used for additional forms (variables) for record and","default is 1 which means that new output file will be opened at","self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype =","True self._count_errors += 1 format = self.formatter.error if format is None else format","error=False, **kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype : str By","level (WARNING = 0, ERRROR = 1, CRITICAL = 2). All that higher","format. # When it is dictionary it can contaion any parameter of formatter","lines that must be written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self,","raw text with the new line to the output. Parameters ---------- message :","needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING","Parameters ---------- message : str The message that must be written. \"\"\" self.write(f'{message}\\n')","def restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if","not exists. if hasattr(self, 'header') is False: self.header = Header(self) pass def write(self,","or bool, optional The argument is used to define maximum number of days","to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False,","output. Parameters ---------- number : int, optional The number of the blank lines","self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize","that must be written instead of exception. rectype : str, optional The type","of the application that we are logging. version : str Version of the","advanced logging in different outputs: console, file, email, database table, HTML document -","configure SMTP connection. db : dict, optional The argument is used to configure","error level (WARNING = 0, ERRROR = 1, CRITICAL = 2). All that","Number of errors that logger catched in the application during its execution. filters","filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize,",": bool, optional The argument is used to filter error records. critical :","optional The argument is used to set the `version` attribute. status : bool,","which parse different inputs includeing system specifications, flag arguments, execution parameters, user parameters","{} for key, value in {'info': info, 'debug': debug, 'error': error, 'warning': warning,","be written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO","string or dictionary. # When it is string then it must describe records","extension. smtp : dict, optional The argument is used to configure SMTP connection.","maximum size of output file. Must be presented as number of bytes. The","to use own record type or change the presentaion of exeisting one then","The argument is used to set logging file folder. filename : str, optional","logging. desc : str Description of the application that we are logging. version","def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning',","object data can be easily accessed by get item operation or by point","is disabled. Attributes ---------- name : str Name of the logger. app :","self._start_date @property def with_error(self): \"\"\"Flag that shows was an error or not.\"\"\" return","+---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that are printed with","set the `app` attribute. desc : str, optional The argument is used to","import sys import time import traceback from .conf import all_loggers from .formatter import","filter critical records. The default is True. alarming : bool, optional The argument","Formatter from .header import Header from .output import Root from .record import Record","True. error : bool, optional The argument is used to filter error records.","(int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float,","SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if","to open or close output `root`. console : bool, optional The argument is","'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize output file","different blocks of information. Parameters ---------- div : str, optional Symbol that is","dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics to catch when current","The argument is used to open or close output `console`. file : bool,","self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize","'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error =","record types. All registered record types are stored in the instance attribute rectypes.",": bool The argument is used to enable or disable the alarming mechanism","records. The default is True. alarming : bool, optional The argument is used","The type of error according to `rectypes` dictionary. format : str, optional The","Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo =","that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform","some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish to modify the","define the break error level (WARNING = 0, ERRROR = 1, CRITICAL =","\"\"\" if self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error, **kwargs)","extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1,","to enable or disable the alarming mechanism for this certain call. level :","'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete the initial configuration.","it is not exists. In other case modify # existing output if it","= self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property","---------- name : str, optional The argument is used te define `name` attribute","is None else format # Parse the error. err_type, err_value, err_tb = sys.exc_info()","the application during its execution. filters : dict Record types filters. To filter","bool The argument is used to enable or disable the alarming mechanism for","+---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+","(int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool))","in original Python style. Also method will send an alarm if alarming attribute","to False. root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The","= 1, CRITICAL = 2). All that higher the break level will interrupt","you wish to modify the text of this messages just edit the value","name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def","**kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n'","attribute. version : str, optional The argument is used to set the `version`","self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp,","None and err_type is not None: if isinstance(format, str) is True: err_name =","error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output.","if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int,","is used te define `name` attribute app : str, optional The argument is","> self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day:","isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value for tb in",": bool, optional The argument is used to filter info records. The default","\"\"\" self._with_error = True self._count_errors += 1 format = self.formatter.error if format is","connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case it","is True. maxsize : int or bool, optional The argument is used to","float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is","then it must describe records format. # When it is dictionary it can","output file will be opened at each 00:00:00. maxlevel : int or bool,","pass def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info'","means that new output file will be opened at each 00:00:00. maxlevel :","not None: path['name'] = filename if extension is not None: path['ext'] = extension","The argument is used to enable or disable execution break in case on","traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name","console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File","= message or '' self.record(rectype, message, **kwargs) # Break execution in case of","path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if","we provide the next few record types: +---------+---------+ | Key | Value |","can be printed to the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None,","os import platform import pypyrus_logbook as logbook import sys import time import traceback","file. maxdays : int or bool, optional The argument is used to define","format} if hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict) is","will be logged to same file. maxlevel : int or bool, optional The","or bool, optional The argument is used to define maximun number of errors.","\"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def","write(self, record): \"\"\"Direct write to the output. Parameters ---------- record : Record The","'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error","message formatting. \"\"\" self._with_error = True self._count_errors += 1 format = self.formatter.error if","self.formatter.error if format is None else format # Parse the error. err_type, err_value,","limits and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True:","The argument is used to set logging file extension. smtp : dict, optional","**kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record","is a complex set of methods, items and commands that together gives funcionality","date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows was an error or","self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day ==","case it is not exists yet or just customize it. # Parameter format","self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart()","output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send","control # Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False:","maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name = name","The default is True. critical : bool, optional The argument is used to","\"\"\"Send ERROR record to the output. If exception in current traceback exists then","fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail']","message that must be written instead of exception. rectype : str, optional The","info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique","format = {} if isinstance(format, dict) is False else format self.formatter = Formatter(**format)","file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning,","'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok':","to the output. Parameters ---------- string : str The text that will be","be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass","argument is used to enable or disable alarming mechanism. control : bool, optional","it is not exists yet or just customize it. # Parameter format can","that SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self,","is not False: if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart()","optional The argument is used to set the `desc` attribute. version : str,","critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2,","| +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that are printed","2). All that higher the break level will interrupt application execution. The default","to `True`. **kwargs The keyword arguments used for additional forms (variables) for record","argument is used te define `name` attribute app : str, optional The argument","subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message):","'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value #","record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs):","`formatter.error` is set to `False` the exception will be just printed in original","is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors","will help to identify it. Main application logger will have the same name","set logging file extension. smtp : dict, optional The argument is used to","if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table,","err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line =","exeisting one then edit this dictinary. message : str The message that must","return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\"","= 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1,","the text of this messages just edit the value of appropriate item. with_errors","The argument is used to send it to the output `root`. \"\"\" self.__check_file_stats()","= tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message,","filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console, 'file': file,","the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error',","either string or dictionary. # When it is string then it must describe","exit if it is configured. if self._control is True: if level >= self._maxlevel:","message : str The message that must be written. error : bool, optional","rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to","like `ok()`, `success()`, `fail()`. If you wish to modify the text of this","application during its execution. filters : dict Record types filters. To filter record","if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day","The argument is used to filter warning records. The default is True. error","file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is","and commands that together gives funcionality for advanced logging in different outputs: console,","---------- app : str, optional The argument is used to set the `app`","define maximum number of days that will be logged to same file. The","open or close output `table`. directory : str, optional The argument is used","self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag","1. maxerrors : int or bool, optional The argument is used to define","file folder. filename : str, optional The argument is used to set logging","use own record type or change the presentaion of exeisting one then edit","for key, value in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical':",": str, optional The argument is used to set record template. info :","will send an alarm if alarming attribute is `True`, email output is enabled","head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self,","**kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype,","The argument is used to set record template. info : bool, optional The","filename : str, optional The argument is used to set logging file name.","int or bool, optional The argument is used to define maximum size of","object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file :","can be changed but depends on available record types. All registered record types","if hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict) is False","str, optional The format of the error message. alarming : bool The argument","err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value,","be opened. \"\"\" if self.root.file.status is True: if self._maxsize is not False: if","= tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj,","opened. \"\"\" if self.root.file.status is True: if self._maxsize is not False: if self.root.file.size","= self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with","must describe records format. # When it is dictionary it can contaion any","object. Through the `Dataset` object data can be easily accessed by get item","filter critical records. alarming : bool, optional The argument is used to enable","types are stored in the instance attribute rectypes. If you wish to use","import datetime as dt import os import platform import pypyrus_logbook as logbook import","int The flag shows that logger catched errors in the application during its","to `rectypes` dictionary. format : str, optional The format of the error message.","if self.header.used is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message.","extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays,","str By default method creates the record with the type NONE. That can","record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message,","wish to modify the text of this messages just edit the value of","def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message =","arguments and systems descriptors. Each logger must have an unique name which will","\"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in table. Note that","<filename>pypyrus_logbook/logger.py<gh_stars>0 import atexit import datetime as dt import os import platform import pypyrus_logbook","enable or disable alarming mechanism. The default is True. control : bool, optional","or disable execution break in case on error. maxsize : int or bool,","def line(self, message): \"\"\"Send raw text with the new line to the output.","enable or disable alarming mechanism. control : bool, optional The argument is used","True: self.version = version # Build the output root if it is not","connection. format : str, optional The argument is used to set record template.","optional The argument is used to enable or disable alarming mechanism. control :","disable execution break in case on error. maxsize : int or bool, optional","# Attributes describing the application. self.app = None self.desc = None self.version =","will format the exception according to `formatter.error` string presentation. If `formatter.error` is set","Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table,","if it is requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console,","when logger must be restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date","= sys.exc_info() if message is None and err_type is not None: if isinstance(format,","self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False:",": int or bool, optional The argument is used to define maximun number","is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to","alarming attribute is `True`, email output is enabled and SMTP server is configurated.","self._with_error = True self._count_errors += 1 format = self.formatter.error if format is None","of output file. maxdays : int or bool, optional The argument is used","define the break error level. maxerrors : int or bool, optional The argument","native logbook methods or by calling `getlogger()` method with no name. Parameters ----------","is True: format = {'record': format} if hasattr(self, 'formatter') is False: format =","logger. Logger by it self is a complex set of methods, items and","send an alarm if alarming attribute is `True`, email output is enabled and","from .formatter import Formatter from .header import Header from .output import Root from","err_type is not None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value",": bool, optional The argument is used to filter warning records. The default","(str, int, float)) is True: self.version = version # Build the output root","Parse the error. err_type, err_value, err_tb = sys.exc_info() if message is None and","self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\"","Header from .output import Root from .record import Record from .sysinfo import Sysinfo","form then edit appropriate one here. If you wish to use own record","name : str, optional The argument is used te define `name` attribute app","used to set logging file name. extension : str, optional The argument is","OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self,","traceback from .conf import all_loggers from .formatter import Formatter from .header import Header","record : Record The argument is used to send it to the output","to define the break error level (WARNING = 0, ERRROR = 1, CRITICAL","to set record template. info : bool, optional The argument is used to","is True. error : bool, optional The argument is used to filter error","record types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE | +---------+---------+","self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create","with no name. Parameters ---------- name : str, optional The argument is used","INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self,","'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value # Customize limits","be generated at exit if it is configured. if self._control is True: if","to customize logger. Parameters are the same as for creatrion. Parameters ---------- app","records. alarming : bool, optional The argument is used to enable or disable","server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update","configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if self._alarming","available record types. All registered record types are stored in the instance attribute","of this messages just edit the value of appropriate item. with_errors : int","`Dataset` object data can be easily accessed by get item operation or by","'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete","diffrent inputs: user messages, traceback, frames, user parameters, execution arguments and systems descriptors.","info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output","error according to `rectypes` dictionary. format : str, optional The format of the","filter error records. The default is True. critical : bool, optional The argument","the `Dataset` object data can be easily accessed by get item operation or","to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs):","is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be","The message that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None):","output file. maxdays : int or bool, optional The argument is used to","# Send alarm if execution was not aborted but alarm is needed. if",": pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record template, error","by get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header :","def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None,","records. critical : bool, optional The argument is used to filter critical records.","dict) is True: self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self,","'\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype =","be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in","is False: self.sysinfo = Sysinfo(self) # Initialize header instance when not exists. if","self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP server","that logger catched errors in the application during its execution. count_errors : int",">= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit()","to the output. Parameters ---------- record : Record The argument is used to","subhead(self, string): \"\"\"Send subheader as upper-case text between two border lines to the","parameters, user parameters and environment variables and transforms all of that to `Dataset`",": pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The","'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance when not exists.","email, database table, HTML document - and using information from diffrent inputs: user","+---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+","If `formatter.error` is set to `False` the exception will be just printed in","next few record types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE","len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True:","an only one right way to customize logger. Parameters are the same as","and environment variables and transforms all of that to `Dataset` object. Through the","dict Record types filters. To filter record type just set corresponding item value","filter debug records. warning : bool, optional The argument is used to filter","add it to that dictinary. By default we provide the next few record","be changed but depends on available record types. All registered record types are","on error. The default is True. maxsize : int or bool, optional The","(variables) for record and message formatting. \"\"\" self._with_error = True self._count_errors += 1","'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to","Parameters ---------- div : str, optional Symbol that is used to bulid the","email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None,","catched in the application during its execution. filters : dict Record types filters.","'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO","horizontal border in the output. Useful when need to separate different blocks of","is used to filter critical records. The default is True. alarming : bool,","1 which means that new output file will be opened at each 00:00:00.","at each 00:00:00. maxlevel : int or bool, optional The argument is used","err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif","for creatrion. Parameters ---------- app : str, optional The argument is used to","rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs):","format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message +=","a single logger. Logger by it self is a complex set of methods,","False: getattr(self.root, key).close() # Customize output file path. path = {} if directory","by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can","output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for","directory if filename is not None: path['name'] = filename if extension is not","the application. self.app = None self.desc = None self.version = None # Some","\"\"\"Calculate the date when logger must be restarted according to maxdays parameter. \"\"\"","used to open or close output `root`. console : bool, optional The argument","connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the","self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank lines in the output.","type just set corresponding item value to False. root : pypyrus_logbook.output.Root The output","table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming,","rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output. If exception","|DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL","error. maxsize : int or bool, optional The argument is used to define","frames, user parameters, execution arguments and systems descriptors. Each logger must have an","bool) is True: self.filters[key] = value # Customize limits and parameters of execution","generated at exit if it is configured. if self._control is True: if level","execution arguments and systems descriptors. Each logger must have an unique name which","False: if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return if","is error then set that parameter to `True`. **kwargs The keyword arguments used","pass def blank(self, number=1): \"\"\"Write blank lines in the output. Parameters ---------- number","same file. The default is 1 which means that new output file will","if self.root.file.status is True: if self._maxsize is not False: if self.root.file.size is not","to enable or disable alarming mechanism. control : bool, optional The argument is","is used to configure DB connection. format : str, optional The argument is","getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize output file path.","@property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self, app=None,","The argument is used te define `name` attribute app : str, optional The","started. rectypes : dict All available record types. Keys are used in `Logger`","additional forms (variables) for record and message formatting. \"\"\" self._with_error = True self._count_errors","def set(self, **kwargs): \"\"\"Update values in table. Note that DB connection must be","connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values","True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if","existing output if it is requested. if hasattr(self, 'root') is False: self.root =","default is True. maxsize : int or bool, optional The argument is used","import Root from .record import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This","Parameters ---------- name : str, optional The argument is used te define `name`","we are logging. desc : str Description of the application that we are","---------- number : int, optional The number of the blank lines that must","directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None,","optional The argument is used to open or close output `table`. directory :","blank(self, number=1): \"\"\"Write blank lines in the output. Parameters ---------- number : int,","\"\"\"Send email message. Note that SMTP server connection must be configured. \"\"\" self.root.email.send(*args,","folder. filename : str, optional The argument is used to set logging file",": str, optional Symbol that is used to bulid the bound. length :","set corresponding item value to False. root : pypyrus_logbook.output.Root The output `Root` object.","'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete the","if extension is not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path)","'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if key ==","of errors. The default is False which means it is disabled. Attributes ----------","output `file`. email : bool, optional The argument is used to open or","self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors","on available record types. All registered record types are stored in the instance",": pypyrus_logbook.header.Header The header that can be printed to the writable output. \"\"\"","> 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp)","format : str, optional The format of the error message. alarming : bool","When it is string then it must describe records format. # When it","outputs: console, file, email, database table, HTML document - and using information from","key, value in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items():","'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs):","True: self.filters[key] = value # Customize limits and parameters of execution behaviour. if","self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args,","was not aborted but alarm is needed. if alarming is True: self.root.email.alarm() pass","the error message. alarming : bool The argument is used to enable or","tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj","level. maxerrors : int or bool, optional The argument is used to define","describe records format. # When it is dictionary it can contaion any parameter","shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html","Mb. maxdays : int or bool, optional The argument is used to define","method will format the exception according to `formatter.error` string presentation. If `formatter.error` is","message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs)","\"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string):","if self._alarming is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \"\"\"Calculate","alarm will be generated at exit if it is configured. if self._control is","configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None,","about the error. if self._alarming is True and self._with_error is True: self.root.email.alarm() pass","Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self):","# When it is string then it must describe records format. # When","document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter","filter warning records. The default is True. error : bool, optional The argument","the break error level (WARNING = 0, ERRROR = 1, CRITICAL = 2).","file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The","\"\"\"Main method to configure the logger and all its attributes. This is an","customize logger. Parameters are the same as for creatrion. Parameters ---------- app :","as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self,","that we are logging. start_date : datetime.datetime Date when logging was started. rectypes","\"\"\"Direct write to the output. Parameters ---------- record : Record The argument is","`Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The","not exists. In other case modify # existing output if it is requested.","will be logged to same file. The default is 1 which means that","or just customize it. # Parameter format can be either string or dictionary.","def send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP server connection must","default is 10 Mb. maxdays : int or bool, optional The argument is","is True: if self._maxsize is not False: if self.root.file.size is not None: if","{'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 #","if permitted. # The alarm will be generated at exit if it is","records. error : bool, optional The argument is used to filter error records.","if isinstance(format, str) is True: format = {'record': format} if hasattr(self, 'formatter') is","= 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record","isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case it is not","dt import os import platform import pypyrus_logbook as logbook import sys import time","\"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with","values in table. Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass","email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output","The default is True. error : bool, optional The argument is used to","with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def","critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger","message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO record to","Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection.","debug records. The default is False. warning : bool, optional The argument is","Python style. Also method will send an alarm if alarming attribute is `True`,","not None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value","to configure the logger and all its attributes. This is an only one","sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self)","catched errors in the application during its execution. count_errors : int Number of","level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the","\"\"\"Print INFO message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message,","for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email :","str, optional Symbol that is used to bulid the bound. length : int,","to catch when current file must be closed and new one must be","`name` attribute app : str, optional The argument is used to set the","| +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING |","and err_type is not None: if isinstance(format, str) is True: err_name = err_type.__name__","def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical',","the output file statistics to catch when current file must be closed and","when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize","we are logging. start_date : datetime.datetime Date when logging was started. rectypes :","used to filter critical records. The default is True. alarming : bool, optional","with_error(self): \"\"\"Flag that shows was an error or not.\"\"\" return self._with_error @property def","import Sysinfo class Logger(): \"\"\"This class represents a single logger. Logger by it","can be easily accessed by get item operation or by point like `sysinfo.desc['hostname']`","to use own record types then just add it to that dictinary. By","of methods, items and commands that together gives funcionality for advanced logging in","|debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical","output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None,","> self._maxerrors: sys.exit() # Send alarm if execution was not aborted but alarm",": dict, optional The argument is used to configure SMTP connection. db :",": bool, optional The argument is used to filter error records. The default","to `False` the exception will be just printed in original Python style. Also","configurated. If one of the limit triggers worked then application will be aborted.","err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message","if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error","record template. info : bool, optional The argument is used to filter info","logger catched errors in the application during its execution. count_errors : int Number","output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for","debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to","optional The argument is used to filter error records. The default is True.","must be customized. if isinstance(format, str) is True: format = {'record': format} if","of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize","argument is used to open or close output `table`. directory : str, optional","application that we are logging. version : str Version of the application that","and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize","error records. The default is True. critical : bool, optional The argument is","to separate different blocks of information. Parameters ---------- div : str, optional Symbol","used to enable or disable the alarming mechanism for this certain call. level","records. The default is True. critical : bool, optional The argument is used","maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and all its attributes.","variables and transforms all of that to `Dataset` object. Through the `Dataset` object","creatrion. Parameters ---------- app : str, optional The argument is used to set","to define maximun number of errors. The default is False which means it","|WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages :","''.join(exception) self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype, message, **kwargs)","formatter # that must be customized. if isinstance(format, str) is True: format =","value # Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int, float,","sys import time import traceback from .conf import all_loggers from .formatter import Formatter","just customize it. # Parameter format can be either string or dictionary. #","console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug,","app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None,","error then set that parameter to `True`. **kwargs The keyword arguments used for","document - and using information from diffrent inputs: user messages, traceback, frames, user","The argument is used to define the break error level. maxerrors : int",": bool, optional The argument is used to enable or disable alarming mechanism.","= self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add creating","debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts.","bool, optional The argument is used to open or close output `file`. email","pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message","self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table # Set exit","Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \"\"\"Send INFO","info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \"\"\"Main method","str) is True: err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb):","or close output `table`. directory : str, optional The argument is used to","in the application during its execution. count_errors : int Number of errors that","error if permitted. # The alarm will be generated at exit if it","record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header","= self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table =",".conf import all_loggers from .formatter import Formatter from .header import Header from .output","`Dataset` object. Through the `Dataset` object data can be easily accessed by get","with the type NONE. That can be changed but depends on available record","creates the record with the type NONE. That can be changed but depends",": bool, optional The argument is used to open or close output `file`.","+---------+---------+ | Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO","record type just set corresponding item value to False. root : pypyrus_logbook.output.Root The","to enable or disable execution break in case on error. maxsize : int","if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict)","critical error if permitted. # The alarm will be generated at exit if","= False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version,","pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message","maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if","app : str Name of the application that we are logging. desc :","The flag shows that logger catched errors in the application during its execution.","of errors that logger catched in the application during its execution. filters :","initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename,","change the presentaion of exeisting one then edit this dictinary. message : str","to filter warning records. The default is True. error : bool, optional The","False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype,","be customized. if isinstance(format, str) is True: format = {'record': format} if hasattr(self,","one here. If you wish to use own record types then just add","desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db,","maxlevel=None, maxerrors=None): \"\"\"Main method to configure the logger and all its attributes. This","are logging. desc : str Description of the application that we are logging.","pass def head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string) pass","number of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None,","the application that we are logging. version : str Version of the application","disable alarming mechanism. The default is True. control : bool, optional The argument","written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write horizontal border in the","file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`.",": int or bool, optional The argument is used to define maximum number","if isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str, int, float))","during its execution. count_errors : int Number of errors that logger catched in","name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None,","used to enable or disable alarming mechanism. The default is True. control :","pass def send(self, *args, **kwargs): \"\"\"Send email message. Note that SMTP server connection","close output `root`. console : bool, optional The argument is used to open","to `Dataset` object. Through the `Dataset` object data can be easily accessed by","output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False,",".output import Root from .record import Record from .sysinfo import Sysinfo class Logger():","optional The argument is used to filter debug records. The default is False.","@property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that","must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error.","is used to open or close output `email`. html : bool, optional The","`getlogger()` method with no name. Parameters ---------- name : str, optional The argument","optional The argument is used to set logging file extension. smtp : dict,","not aborted but alarm is needed. if alarming is True: self.root.email.alarm() pass def","the output. Parameters ---------- string : str The text that will be presented","optional The argument is used to define maximun number of errors. The default","attribute is `True`, email output is enabled and SMTP server is configurated. If","is not None: path['dir'] = directory if filename is not None: path['name'] =","record types then just add it to that dictinary. By default we provide","If you wish to use own record types then just add it to","define maximun number of errors. \"\"\" if isinstance(app, str) is True: self.app =","logger. Parameters are the same as for creatrion. Parameters ---------- app : str,","it. # Parameter format can be either string or dictionary. # When it","dictionary. # When it is string then it must describe records format. #","SMTP connection. db : dict, optional The argument is used to configure DB","file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key,","filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None,","to the writable output. \"\"\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True,","used to define maximun number of errors. \"\"\" if isinstance(app, str) is True:","forms (variables) for record and message formatting. \"\"\" self._with_error = True self._count_errors +=","The argument is used to open or close output `file`. email : bool,","hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance when not","str) is True: self.app = app if isinstance(desc, str) is True: self.desc =","self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if self._alarming is True","`sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed to the writable","Initialize header instance when not exists. if hasattr(self, 'header') is False: self.header =","number of bytes. The default is 10 Mb. maxdays : int or bool,","optional The number of the blank lines that must be written. \"\"\" string","is used to define maximum number of days that will be logged to","records. warning : bool, optional The argument is used to filter warning records.","line to the output. Parameters ---------- message : str The message that must","filter debug records. The default is False. warning : bool, optional The argument","one then edit this dictinary. message : str The message that must be","message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will open","**kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string)","be logged to same file. maxlevel : int or bool, optional The argument","Values are used in formatting. So if you wish to modify `rectype` form","set(self, **kwargs): \"\"\"Update values in table. Note that DB connection must be configured.","is not exists yet or just customize it. # Parameter format can be","used for additional forms (variables) for record and message formatting. \"\"\" if self.filters.get(rectype,","to open or close output `file`. email : bool, optional The argument is","file. It can be accessed by native logbook methods or by calling `getlogger()`","div : str, optional Symbol that is used to bulid the bound. length","pass def write(self, record): \"\"\"Direct write to the output. Parameters ---------- record :","tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs)","the break error level. maxerrors : int or bool, optional The argument is","Logger by it self is a complex set of methods, items and commands","The argument is used to filter info records. debug : bool, optional The","is used to define the break error level (WARNING = 0, ERRROR =","need to separate different blocks of information. Parameters ---------- div : str, optional","'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \"\"\"Restart logging. Will","= alarming if isinstance(control, bool) is True: self._control = control # Initialize sysinfo","**kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs)","if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was not aborted","message with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass","bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True:","Header(self) pass def write(self, record): \"\"\"Direct write to the output. Parameters ---------- record","like record template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special","format is None else format # Parse the error. err_type, err_value, err_tb =","class Logger(): \"\"\"This class represents a single logger. Logger by it self is","that are printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If you","int, float)) is True: self.version = version # Build the output root if","= {} if directory is not None: path['dir'] = directory if filename is","= None self.desc = None self.version = None # Some logger important attributes","bool, optional The argument is used to define maximum number of days that","gives funcionality for advanced logging in different outputs: console, file, email, database table,","exception according to `formatter.error` string presentation. If `formatter.error` is set to `False` the","error. if self._alarming is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self):","optional The argument is used to define maximum number of days that will","wish to use own record types then just add it to that dictinary.","if isinstance(control, bool) is True: self._control = control # Initialize sysinfo instance when","debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key]","message formatting. \"\"\" if self.filters.get(rectype, True) is True: record = Record(self, rectype, message,","must be written instead of exception. rectype : str, optional The type of","type NONE. That can be changed but depends on available record types. All","of errors. \"\"\" if isinstance(app, str) is True: self.app = app if isinstance(desc,","# Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info':","isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str, int, float)) is","desc : str, optional The argument is used to set the `desc` attribute.","for additional forms (variables) for record and message formatting. \"\"\" self._with_error = True","(int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True:","The argument is used to enable or disable the alarming mechanism for this","instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) #","---------- name : str Name of the logger. app : str Name of","output `html`. table : bool, optional The argument is used to open or","{'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool)","When it is dictionary it can contaion any parameter of formatter # that","Note that SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass def","'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False","is used to open or close output `file`. email : bool, optional The","formatting configuration like record template, error message template, line length etc. sysinfo :","to open or close output `console`. file : bool, optional The argument is","any parameter of formatter # that must be customized. if isinstance(format, str) is","to set the `app` attribute. desc : str, optional The argument is used","Output shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html =","alarming mechanism. The default is True. control : bool, optional The argument is","of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None,","format # Parse the error. err_type, err_value, err_tb = sys.exc_info() if message is","bulid the bound. length : int, optional Lenght of the bound. \"\"\" border","True: self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send","errors that logger catched in the application during its execution. filters : dict","methods or by calling `getlogger()` method with no name. Parameters ---------- name :","or close output `html`. table : bool, optional The argument is used to","self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass def","not False: if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return","used to filter error records. critical : bool, optional The argument is used","this messages just edit the value of appropriate item. with_errors : int The",": pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output","which means it is disabled. Attributes ---------- name : str Name of the","import platform import pypyrus_logbook as logbook import sys import time import traceback from","according to `rectypes` dictionary. format : str, optional The format of the error","in case of critical error if permitted. # The alarm will be generated",": str, optional The argument is used to set the `desc` attribute. version","version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format,","that is used to bulid the bound. length : int, optional Lenght of","get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header","of the application that we are logging. start_date : datetime.datetime Date when logging","`desc` attribute. version : str, optional The argument is used to set the","and new one must be opened. \"\"\" if self.root.file.status is True: if self._maxsize","The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut","if level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors >","optional The argument is used to define the break error level. maxerrors :","then edit appropriate one here. If you wish to use own record types",": int, optional Lenght of the bound. \"\"\" border = self.formatter.div * self.formatter.length","warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console","f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw text with",": str By default method creates the record with the type NONE. That","| +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL |","None: path['dir'] = directory if filename is not None: path['name'] = filename if","edit the value of appropriate item. with_errors : int The flag shows that","self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None,","start_date : datetime.datetime Date when logging was started. rectypes : dict All available","filter record type just set corresponding item value to False. root : pypyrus_logbook.output.Root","is configurated. If one of the limit triggers worked then application will be","the bound. length : int, optional Lenght of the bound. \"\"\" border =","just set corresponding item value to False. root : pypyrus_logbook.output.Root The output `Root`","or bool, optional The argument is used to define the break error level.","just add it to that dictinary. By default we provide the next few","the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass def","at exit if it is configured. if self._control is True: if level >=","else format # Parse the error. err_type, err_value, err_tb = sys.exc_info() if message","is True: err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code","False: self.header = Header(self) pass def write(self, record): \"\"\"Direct write to the output.","help to identify it. Main application logger will have the same name as","message, **kwargs) else: message = message or '' self.record(rectype, message, **kwargs) # Break","in the output. Useful when need to separate different blocks of information. Parameters","The default is True. alarming : bool, optional The argument is used to","filename if extension is not None: path['ext'] = extension if len(path) > 0:","If record is error then set that parameter to `True`. **kwargs The keyword","Each logger must have an unique name which will help to identify it.","if isinstance(version, (str, int, float)) is True: self.version = version # Build the","return self._start_date @property def with_error(self): \"\"\"Flag that shows was an error or not.\"\"\"","**kwargs) else: message = message or '' self.record(rectype, message, **kwargs) # Break execution","exception in current traceback exists then method will format the exception according to","argument is used to filter info records. debug : bool, optional The argument","default is 1. maxerrors : int or bool, optional The argument is used","maximun number of errors. The default is False which means it is disabled.","|INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR","error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\"","if it is not exists. In other case modify # existing output if","isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is","maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file self.email =","used to filter debug records. The default is False. warning : bool, optional","self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype, message, **kwargs) #","methods like `ok()`, `success()`, `fail()`. If you wish to modify the text of","used to filter debug records. warning : bool, optional The argument is used","Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG","if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int,","logging. start_date : datetime.datetime Date when logging was started. rectypes : dict All","logging in different outputs: console, file, email, database table, HTML document - and","Build the output root if it is not exists. In other case modify","it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message,","= self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case text between","open or close output `email`. html : bool, optional The argument is used",": bool, optional If record is error then set that parameter to `True`.","The alarm will be generated at exit if it is configured. if self._control","used to configure SMTP connection. db : dict, optional The argument is used","isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record type filters. if","used to open or close output `file`. email : bool, optional The argument","to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check","attribute rectypes. If you wish to use own record type or change the","| Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug","str, optional The type of error according to `rectypes` dictionary. format : str,","The argument is used to describe the error level. **kwargs The keyword arguments",": str, optional The argument is used to set logging file folder. filename","filename is not None: path['name'] = filename if extension is not None: path['ext']","which means that new output file will be opened at each 00:00:00. maxlevel","that dictinary. By default we provide the next few record types: +---------+---------+ |","forms (variables) for record and message formatting. \"\"\" if self.filters.get(rectype, True) is True:","argument is used to send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record)","file will be opened at each 00:00:00. maxlevel : int or bool, optional","to modify the text of this messages just edit the value of appropriate","will be opened at each 00:00:00. maxlevel : int or bool, optional The","flag arguments, execution parameters, user parameters and environment variables and transforms all of","script file. It can be accessed by native logbook methods or by calling","key).close() # Customize output file path. path = {} if directory is not","Useful when need to separate different blocks of information. Parameters ---------- div :","table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting","message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output. If","\"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to","database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case","appropriate one here. If you wish to use own record types then just","open or close output `file`. email : bool, optional The argument is used","True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value is False:","\"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message,","for this certain call. level : int The argument is used to describe","the output. Useful when need to separate different blocks of information. Parameters ----------","self.filters[key] = value # Customize limits and parameters of execution behaviour. if isinstance(maxsize,","The argument is used to filter critical records. alarming : bool, optional The","version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,","`root`. console : bool, optional The argument is used to open or close","**kwargs) # Break execution in case of critical error if permitted. # The","instead of exception. rectype : str, optional The type of error according to","pypyrus_logbook as logbook import sys import time import traceback from .conf import all_loggers","application. self.app = None self.desc = None self.version = None # Some logger","console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False,","status : bool, optional The argument is used to open or close output","name which will help to identify it. Main application logger will have the","logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return self._start_date @property","`app` attribute. desc : str, optional The argument is used to set the","funcionality for advanced logging in different outputs: console, file, email, database table, HTML","argument is used to set the `app` attribute. desc : str, optional The","the logger. app : str Name of the application that we are logging.","of formatter # that must be customized. if isinstance(format, str) is True: format","\"\"\"Send subheader as upper-case text between two border lines to the output. Parameters","isinstance(value, bool) is True: self.filters[key] = value # Customize limits and parameters of","to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send","1 format = self.formatter.error if format is None else format # Parse the","**kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with SUCCESS.\"\"\" rectype = 'info'","message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception","if self._maxsize is not False: if self.root.file.size is not None: if self.root.file.size >","type or change the presentaion of exeisting one then edit this dictinary. message","is used to define maximum size of output file. Must be presented as","new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used","record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs):","is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True:","self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email","bool, optional The argument is used to open or close output `root`. console","# Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass def","optional If record is error then set that parameter to `True`. **kwargs The","default is True. error : bool, optional The argument is used to filter","\"\"\"The number of occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None,","presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def","to the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader","commands that together gives funcionality for advanced logging in different outputs: console, file,","argument is used to enable or disable alarming mechanism. The default is True.","default is True. alarming : bool, optional The argument is used to enable","getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root,","application execution. The default is 1. maxerrors : int or bool, optional The","self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass","current traceback exists then method will format the exception according to `formatter.error` string","err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file =","self._maxerrors: sys.exit() # Send alarm if execution was not aborted but alarm is","+=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+","\"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is","records. Parameters ---------- rectype : str By default method creates the record with","desc : str Description of the application that we are logging. version :","Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO',","size of output file. Must be presented as number of bytes. The default","used to define maximum size of output file. maxdays : int or bool,","message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message","argument is used to set the `version` attribute. status : bool, optional The","is used to enable or disable the alarming mechanism for this certain call.","is False. warning : bool, optional The argument is used to filter warning","used to filter error records. The default is True. critical : bool, optional","self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics","`Logger` methods like `ok()`, `success()`, `fail()`. If you wish to modify the text","optional Lenght of the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border +","is used to send it to the output `root`. \"\"\" self.__check_file_stats() self.root.write(record) pass","is True. alarming : bool, optional The argument is used to enable or","name : str Name of the logger. app : str Name of the","dict All available record types. Keys are used in `Logger` write methods as","record template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input","@property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start","the instance attribute rectypes. If you wish to use own record type or",": bool, optional The argument is used to filter debug records. warning :","def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\"","or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed to the","\"\"\"Update values in table. Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs)","{'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if value is","filters. To filter record type just set corresponding item value to False. root","self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print INFO message with FAIL.\"\"\"","err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message =","The argument is used to define maximum size of output file. Must be","**kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype : str By default","or close output `root`. console : bool, optional The argument is used to","__check_file_stats(self): \"\"\"Check the output file statistics to catch when current file must be","used to define the break error level. maxerrors : int or bool, optional","describe the error level. **kwargs The keyword arguments used for additional forms (variables)","def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None,","all of that to `Dataset` object. Through the `Dataset` object data can be","The default is 1. maxerrors : int or bool, optional The argument is","alarming : bool, optional The argument is used to enable or disable alarming","info : bool, optional The argument is used to filter info records. The","|CRITICAL | +---------+---------+ messages : dict Messages that are printed with some `Logger`","extension : str, optional The argument is used to set logging file extension.","dict, optional The argument is used to configure SMTP connection. db : dict,","formatter which sets all formatting configuration like record template, error message template, line","div=None, length=None): \"\"\"Write horizontal border in the output. Useful when need to separate","The argument is used to define maximun number of errors. \"\"\" if isinstance(app,","easily accessed by get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`.","error level. **kwargs The keyword arguments used for additional forms (variables) for record","level=2, **kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create()","def __calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted according to maxdays","case on error. maxsize : int or bool, optional The argument is used","self.html = self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add","border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write","to describe the error level. **kwargs The keyword arguments used for additional forms","to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object","border in the output. Useful when need to separate different blocks of information.","keyword arguments used for additional forms (variables) for record and message formatting. \"\"\"","Name of the application that we are logging. desc : str Description of","maxerrors=False): # Unique name of the logger. self._name = name # Attributes describing","== 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize output","types then just add it to that dictinary. By default we provide the","os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file,","specifications, flag arguments, execution parameters, user parameters and environment variables and transforms all","Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else:","be either string or dictionary. # When it is string then it must","# When it is dictionary it can contaion any parameter of formatter #",": dict, optional The argument is used to configure DB connection. format :","logbook methods or by calling `getlogger()` method with no name. Parameters ---------- name","write to the output. Parameters ---------- record : Record The argument is used","te define `name` attribute app : str, optional The argument is used to","The argument is used to configure SMTP connection. db : dict, optional The","00:00:00. maxlevel : int or bool, optional The argument is used to define","f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return","exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message,","string then it must describe records format. # When it is dictionary it","of days that will be logged to same file. The default is 1","blank lines in the output. Parameters ---------- number : int, optional The number","= 0, ERRROR = 1, CRITICAL = 2). All that higher the break","same name as a python script file. It can be accessed by native","# Customize output file path. path = {} if directory is not None:","`email`. html : bool, optional The argument is used to open or close","Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email","pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record template, error message","formatting. \"\"\" self._with_error = True self._count_errors += 1 format = self.formatter.error if format","extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict)","The message that must be written. error : bool, optional If record is","using information from diffrent inputs: user messages, traceback, frames, user parameters, execution arguments","file : bool, optional The argument is used to open or close output","used to configure DB connection. format : str, optional The argument is used","is not None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value =","getattr(self.root, key).close() # Customize output file path. path = {} if directory is","systems descriptors. Each logger must have an unique name which will help to",": dict All available record types. Keys are used in `Logger` write methods","in {'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if value","application logger will have the same name as a python script file. It","be easily accessed by get item operation or by point like `sysinfo.desc['hostname']` or","bound = f'{self.formatter.div*self.formatter.length}\\n' string = f'{bound}\\t{string}\\n{bound}'.upper() self.write(string) pass def line(self, message): \"\"\"Send raw","have the same name as a python script file. It can be accessed","pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table.","`fail()`. If you wish to modify the text of this messages just edit","pass def _exit(self): # Inform about the error. if self._alarming is True and","in `Logger` write methods as `rectype` argument. Values are used in formatting. So","of critical error if permitted. # The alarm will be generated at exit","item. with_errors : int The flag shows that logger catched errors in the","True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors","\"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass def blank(self, number=1):","str, optional The argument is used to set record template. info : bool,","is needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \"\"\"Send","with some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish to modify","parameters and environment variables and transforms all of that to `Dataset` object. Through","'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail':","bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is","bool, optional The argument is used to filter warning records. error : bool,","from .record import Record from .sysinfo import Sysinfo class Logger(): \"\"\"This class represents","is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if","# Parameter format can be either string or dictionary. # When it is","alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name","messages just edit the value of appropriate item. with_errors : int The flag","email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`.","message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR","is used to define maximun number of errors. The default is False which","of output file. Must be presented as number of bytes. The default is","is 10 Mb. maxdays : int or bool, optional The argument is used","in formatting. So if you wish to modify `rectype` form then edit appropriate","the logger and all its attributes. This is an only one right way","contaion any parameter of formatter # that must be customized. if isinstance(format, str)","= directory if filename is not None: path['name'] = filename if extension is","= maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool)","name. Parameters ---------- name : str, optional The argument is used te define","is used to set logging file folder. filename : str, optional The argument","'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'}","+---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages","is `True`, email output is enabled and SMTP server is configurated. If one","= err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line",": int, optional The number of the blank lines that must be written.","logger and all its attributes. This is an only one right way to",": dict Record types filters. To filter record type just set corresponding item",": bool, optional The argument is used to filter debug records. The default","message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse","None self.desc = None self.version = None # Some logger important attributes self._start_date","record to the output.\"\"\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self,","**kwargs): \"\"\"Send ERROR record to the output. If exception in current traceback exists","+= ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype, message,","will be generated at exit if it is configured. if self._control is True:","self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL error record","message): \"\"\"Send raw text with the new line to the output. Parameters ----------","self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype = 'info'","`ok()`, `success()`, `fail()`. If you wish to modify the text of this messages","path['dir'] = directory if filename is not None: path['name'] = filename if extension","'' self.record(rectype, message, **kwargs) # Break execution in case of critical error if","text that will be presented as subheader. \"\"\" bound = f'{self.formatter.div*self.formatter.length}\\n' string =","or customize record type filters. if hasattr(self, 'filters') is False: self.filters = {}","appropriate item. with_errors : int The flag shows that logger catched errors in","= name # Attributes describing the application. self.app = None self.desc = None","int, optional The number of the blank lines that must be written. \"\"\"","the new line to the output. Parameters ---------- message : str The message","self.root.email self.html = self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) #","maxerrors=None): \"\"\"Main method to configure the logger and all its attributes. This is","is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\n' message += ''.join(exception)","self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() #",": bool, optional The argument is used to open or close output `table`.","The argument is used to filter error records. critical : bool, optional The","as `rectype` argument. Values are used in formatting. So if you wish to","number of days that will be logged to same file. maxlevel : int","rectypes. If you wish to use own record type or change the presentaion","or '' self.record(rectype, message, **kwargs) # Break execution in case of critical error","'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] =","value in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if","mechanism for this certain call. level : int The argument is used to","self._maxsize is not False: if self.root.file.size is not None: if self.root.file.size > self._maxsize:","def info(self, message, **kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype,","records. The default is True. error : bool, optional The argument is used","open or close output `console`. file : bool, optional The argument is used","Parameters ---------- message : str, optional The message that must be written instead","warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of","So if you wish to modify `rectype` form then edit appropriate one here.","control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file =","level will interrupt application execution. The default is 1. maxerrors : int or","here. If you wish to use own record types then just add it","used to define maximun number of errors. The default is False which means","is used to filter error records. critical : bool, optional The argument is","triggers worked then application will be aborted. Parameters ---------- message : str, optional","when not exists. if hasattr(self, 'header') is False: self.header = Header(self) pass def","key).open() if key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close()","status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console,","import Formatter from .header import Header from .output import Root from .record import","maxerrors : int or bool, optional The argument is used to define maximun","enabled and SMTP server is configurated. If one of the limit triggers worked","from diffrent inputs: user messages, traceback, frames, user parameters, execution arguments and systems","bool, optional The argument is used to define maximun number of errors. \"\"\"","True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays =","= 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \"\"\"Print","is used to set the `version` attribute. status : bool, optional The argument","|none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning","`html`. table : bool, optional The argument is used to open or close","filter info records. The default is True. debug : bool, optional The argument","mechanism. control : bool, optional The argument is used to enable or disable","logbook import sys import time import traceback from .conf import all_loggers from .formatter","messages : dict Messages that are printed with some `Logger` methods like `ok()`,","rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False,","an error or not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of occured","sys.exc_info() if message is None and err_type is not None: if isinstance(format, str)","other case modify # existing output if it is requested. if hasattr(self, 'root')","The default is True. maxsize : int or bool, optional The argument is","all_loggers from .formatter import Formatter from .header import Header from .output import Root","dictinary. By default we provide the next few record types: +---------+---------+ | Key","= Sysinfo(self) # Initialize header instance when not exists. if hasattr(self, 'header') is","error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which","record types. Keys are used in `Logger` write methods as `rectype` argument. Values","user parameters and environment variables and transforms all of that to `Dataset` object.","opened at each 00:00:00. maxlevel : int or bool, optional The argument is","| +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG |","includeing system specifications, flag arguments, execution parameters, user parameters and environment variables and",": str The text that will be presented as subheader. \"\"\" bound =","one of the limit triggers worked then application will be aborted. Parameters ----------","used to open or close output `table`. directory : str, optional The argument","optional The argument is used to filter warning records. The default is True.","argument is used to filter warning records. The default is True. error :","name of the logger. self._name = name # Attributes describing the application. self.app","filter warning records. error : bool, optional The argument is used to filter","execution break in case on error. maxsize : int or bool, optional The","= (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics to","single logger. Logger by it self is a complex set of methods, items","bool) is True: self._control = control # Initialize sysinfo instance when not exists.","in different outputs: console, file, email, database table, HTML document - and using","bool, optional The argument is used to filter info records. The default is","from .conf import all_loggers from .formatter import Formatter from .header import Header from","warning : bool, optional The argument is used to filter warning records. The","not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header","arguments, execution parameters, user parameters and environment variables and transforms all of that","be written instead of exception. rectype : str, optional The type of error","is not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution","be closed and new one must be opened. \"\"\" if self.root.file.status is True:","message : str The message that must be written. \"\"\" self.write(f'{message}\\n') pass def","self._name = name # Attributes describing the application. self.app = None self.desc =","record types are stored in the instance attribute rectypes. If you wish to","if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance when","only one right way to customize logger. Parameters are the same as for","optional The argument is used to filter info records. debug : bool, optional","in case it is not exists yet or just customize it. # Parameter","of the limit triggers worked then application will be aborted. Parameters ---------- message","of appropriate item. with_errors : int The flag shows that logger catched errors","The format of the error message. alarming : bool The argument is used","bool, optional The argument is used to define maximum size of output file.","status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None,","name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self): \"\"\"Logging start date.\"\"\" return","if it is configured. if self._control is True: if level >= self._maxlevel: sys.exit()","err_value, err_tb) message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message","define `name` attribute app : str, optional The argument is used to set","the same name as a python script file. It can be accessed by","Sysinfo class Logger(): \"\"\"This class represents a single logger. Logger by it self","output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send subheader as upper-case","isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float,","**kwargs The keyword arguments used for additional forms (variables) for record and message","if isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value for tb","The argument is used to enable or disable alarming mechanism. control : bool,","Inform about the error. if self._alarming is True and self._with_error is True: self.root.email.alarm()","alarming mechanism for this certain call. level : int The argument is used","registered record types are stored in the instance attribute rectypes. If you wish","break error level (WARNING = 0, ERRROR = 1, CRITICAL = 2). All","# Initialize header instance when not exists. if hasattr(self, 'header') is False: self.header","str) is True: format = {'record': format} if hasattr(self, 'formatter') is False: format","interrupt application execution. The default is 1. maxerrors : int or bool, optional","**kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass","False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was not","is used to filter debug records. The default is False. warning : bool,","or close output `console`. file : bool, optional The argument is used to","self.header.used is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message. Note","INFO message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs)","import traceback from .conf import all_loggers from .formatter import Formatter from .header import","information. Parameters ---------- div : str, optional Symbol that is used to bulid","= '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message with OK.\"\"\" rectype","value in {'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if","status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info,","def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the","float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool))",": str, optional The message that must be written instead of exception. rectype","table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True,","`root`. \"\"\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method","method will send an alarm if alarming attribute is `True`, email output is","is used to describe the error level. **kwargs The keyword arguments used for","# Break execution in case of critical error if permitted. # The alarm","for advanced logging in different outputs: console, file, email, database table, HTML document","configuration like record template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo","def subhead(self, string): \"\"\"Send subheader as upper-case text between two border lines to","app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None,","optional The argument is used to open or close output `email`. html :","according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self):","number=1): \"\"\"Write blank lines in the output. Parameters ---------- number : int, optional","exit function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name] =","self._with_error = False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc,","True: self.app = app if isinstance(desc, str) is True: self.desc = desc if","atexit import datetime as dt import os import platform import pypyrus_logbook as logbook","`Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email","pass def __check_file_stats(self): \"\"\"Check the output file statistics to catch when current file","import os import platform import pypyrus_logbook as logbook import sys import time import","int or bool, optional The argument is used to define maximum number of","date when logger must be restarted according to maxdays parameter. \"\"\" self.__restart_date =","self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \"\"\"Update values in table. Note that DB","function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self","err_type, err_value, err_tb = sys.exc_info() if message is None and err_type is not","string): \"\"\"Send subheader as upper-case text between two border lines to the output.","pass def set(self, **kwargs): \"\"\"Update values in table. Note that DB connection must","is used to filter error records. The default is True. critical : bool,","record is error then set that parameter to `True`. **kwargs The keyword arguments","used in formatting. So if you wish to modify `rectype` form then edit","The number of the blank lines that must be written. \"\"\" string =","NONE. That can be changed but depends on available record types. All registered","True) is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def","for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter","\"\"\"Basic method to write records. Parameters ---------- rectype : str By default method","bound. length : int, optional Lenght of the bound. \"\"\" border = self.formatter.div","The argument is used to open or close output `root`. console : bool,","instance attribute rectypes. If you wish to use own record type or change","types. Keys are used in `Logger` write methods as `rectype` argument. Values are","self.filters = {} for key, value in {'info': info, 'debug': debug, 'error': error,","bool, optional If record is error then set that parameter to `True`. **kwargs","is used to set logging file name. extension : str, optional The argument","# existing output if it is requested. if hasattr(self, 'root') is False: self.root","| +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict","it is requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file,","to set the `version` attribute. status : bool, optional The argument is used","critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console","start date.\"\"\" return self._start_date @property def with_error(self): \"\"\"Flag that shows was an error","self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel =","info : bool, optional The argument is used to filter info records. debug","path['name'] = filename if extension is not None: path['ext'] = extension if len(path)","special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \"{self._name}\">'","is True: self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self, 'filters')","of the logger. self._name = name # Attributes describing the application. self.app =","if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass def send(self,","The default is True. debug : bool, optional The argument is used to","item value to False. root : pypyrus_logbook.output.Root The output `Root` object. console :","logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug':","exception will be just printed in original Python style. Also method will send","message = '\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message","its execution. count_errors : int Number of errors that logger catched in the","behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays,","extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console, 'file': file, 'email':","must have an unique name which will help to identify it. Main application","object which parse different inputs includeing system specifications, flag arguments, execution parameters, user","return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None,","edit appropriate one here. If you wish to use own record types then","Record The argument is used to send it to the output `root`. \"\"\"","self.desc = desc if isinstance(version, (str, int, float)) is True: self.version = version","the error level. **kwargs The keyword arguments used for additional forms (variables) for","on error. maxsize : int or bool, optional The argument is used to","By default method creates the record with the type NONE. That can be","pass def warning(self, message=None, **kwargs): \"\"\"Send WARNING error record to the output.\"\"\" self.error(message,","then application will be aborted. Parameters ---------- message : str, optional The message","**kwargs): \"\"\"Send INFO record to output.\"\"\" rectype = 'info' self.record(rectype, message, **kwargs) pass","This is an only one right way to customize logger. Parameters are the","parameter to `True`. **kwargs The keyword arguments used for additional forms (variables) for","= dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head()","message. Note that SMTP server connection must be configured. \"\"\" self.root.email.send(*args, **kwargs) pass","file path. path = {} if directory is not None: path['dir'] = directory","all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__","True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) #","sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system specifications,","inputs includeing system specifications, flag arguments, execution parameters, user parameters and environment variables","not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP","str Name of the application that we are logging. desc : str Description","is False: self.header = Header(self) pass def write(self, record): \"\"\"Direct write to the","Parameters ---------- string : str The text that will be presented as subheader.","file. Must be presented as number of bytes. The default is 10 Mb.","instance when not exists. if hasattr(self, 'header') is False: self.header = Header(self) pass","string : str The text that will be presented as subheader. \"\"\" bound",": pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object.","critical : bool, optional The argument is used to filter critical records. alarming","that must be customized. if isinstance(format, str) is True: format = {'record': format}",": str, optional The format of the error message. alarming : bool The","that must be written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs):","used to filter info records. debug : bool, optional The argument is used","None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server.","disable alarming mechanism. control : bool, optional The argument is used to enable","if value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif","optional The argument is used to set the `app` attribute. desc : str,","CRITICAL = 2). All that higher the break level will interrupt application execution.","= self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \"\"\"Print INFO message with","# Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html,","Parameters ---------- record : Record The argument is used to send it to","= app if isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str,","# Inform about the error. if self._alarming is True and self._with_error is True:","import time import traceback from .conf import all_loggers from .formatter import Formatter from","self.app = app if isinstance(desc, str) is True: self.desc = desc if isinstance(version,","self.write(string) pass def line(self, message): \"\"\"Send raw text with the new line to",": str Name of the logger. app : str Name of the application","Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self): #","or disable alarming mechanism. control : bool, optional The argument is used to","str, optional The argument is used to set logging file extension. smtp :","the next few record types: +---------+---------+ | Key | Value | +=========+=========+ |none","of the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border + '\\n') pass","CRITICAL error record to the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self):","+---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+","= f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format","shows that logger catched errors in the application during its execution. count_errors :","attribute app : str, optional The argument is used to set the `app`","|error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that","dictinary. message : str The message that must be written. error : bool,","optional The argument is used to set record template. info : bool, optional","just printed in original Python style. Also method will send an alarm if","= None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none':","messages, traceback, frames, user parameters, execution arguments and systems descriptors. Each logger must","if execution was not aborted but alarm is needed. if alarming is True:","all formatting configuration like record template, error message template, line length etc. sysinfo","Messages that are printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If","self.desc = None self.version = None # Some logger important attributes self._start_date =","used to describe the error level. **kwargs The keyword arguments used for additional","directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console, 'file':","must be written. error : bool, optional If record is error then set","int, optional Lenght of the bound. \"\"\" border = self.formatter.div * self.formatter.length self.write(border","Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html:","name as a python script file. It can be accessed by native logbook","Create or customize record type filters. if hasattr(self, 'filters') is False: self.filters =","rectypes : dict All available record types. Keys are used in `Logger` write","HTML document - and using information from diffrent inputs: user messages, traceback, frames,","output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all","bool, optional The argument is used to define the break error level. maxerrors","table. Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def _exit(self):","like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed","is set to `False` the exception will be just printed in original Python","= value # Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int,","directory : str, optional The argument is used to set logging file folder.","argument is used to set record template. info : bool, optional The argument","is None and err_type is not None: if isinstance(format, str) is True: err_name","self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING',","with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def","in table. Note that DB connection must be configured. \"\"\" self.root.table.write(**kwargs) pass def","with FAIL.\"\"\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def","enable or disable the alarming mechanism for this certain call. level : int","with the new line to the output. Parameters ---------- message : str The","# Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database","email : bool, optional The argument is used to open or close output","set of methods, items and commands that together gives funcionality for advanced logging","message with SUCCESS.\"\"\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass","**kwargs) pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype","statistics to catch when current file must be closed and new one must","err_value, err_tb = sys.exc_info() if message is None and err_type is not None:","name. extension : str, optional The argument is used to set logging file","the record with the type NONE. That can be changed but depends on","\"\"\"Check the output file statistics to catch when current file must be closed",": pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system specifications, flag","in the application during its execution. filters : dict Record types filters. To","as dt import os import platform import pypyrus_logbook as logbook import sys import","The default is 1 which means that new output file will be opened","table, HTML document - and using information from diffrent inputs: user messages, traceback,","subheader as upper-case text between two border lines to the output. Parameters ----------","to modify `rectype` form then edit appropriate one here. If you wish to","written. \"\"\" string = '\\n'*number self.write(string) pass def ok(self, **kwargs): \"\"\"Print INFO message","def head(self): \"\"\"Send header to the output.\"\"\" string = self.header.create() self.write(string) pass def","`Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for","and message formatting. \"\"\" if self.filters.get(rectype, True) is True: record = Record(self, rectype,","transforms all of that to `Dataset` object. Through the `Dataset` object data can","dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ =","right way to customize logger. Parameters are the same as for creatrion. Parameters","False. warning : bool, optional The argument is used to filter warning records.","occured errors.\"\"\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None,","the `app` attribute. desc : str, optional The argument is used to set","to enable or disable alarming mechanism. The default is True. control : bool,","argument is used to define maximum number of days that will be logged","disable the alarming mechanism for this certain call. level : int The argument","logger. self._name = name # Attributes describing the application. self.app = None self.desc","str, optional The argument is used te define `name` attribute app : str,","argument is used to open or close output `email`. html : bool, optional","console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for","logging file name. extension : str, optional The argument is used to set","__repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def","message that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self, div=None, length=None): \"\"\"Write","modify the text of this messages just edit the value of appropriate item.","it to that dictinary. By default we provide the next few record types:","can be either string or dictionary. # When it is string then it","blank lines that must be written. \"\"\" string = '\\n'*number self.write(string) pass def","attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning':","the output root if it is not exists. In other case modify #","In other case modify # existing output if it is requested. if hasattr(self,","pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email.","output. If exception in current traceback exists then method will format the exception","level : int The argument is used to describe the error level. **kwargs","and transforms all of that to `Dataset` object. Through the `Dataset` object data","used to filter critical records. alarming : bool, optional The argument is used","logger must be restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date +","item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The","if message is None and err_type is not None: if isinstance(format, str) is","None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value for","The argument is used to open or close output `html`. table : bool,","the output. Parameters ---------- message : str The message that must be written.","data can be easily accessed by get item operation or by point like","db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors)","enable or disable execution break in case on error. The default is True.","self pass def __str__(self): return f'<Logger object \"{self._name}\">' __repr__ = __str__ @property def","All available record types. Keys are used in `Logger` write methods as `rectype`","pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut","is True: self.head() pass def send(self, *args, **kwargs): \"\"\"Send email message. Note that","is 1. maxerrors : int or bool, optional The argument is used to","output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\"","the limit triggers worked then application will be aborted. Parameters ---------- message :","bound(self, div=None, length=None): \"\"\"Write horizontal border in the output. Useful when need to","write records. Parameters ---------- rectype : str By default method creates the record",": str Description of the application that we are logging. version : str","printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish to","db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False):","isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool) is True: self._control","str, optional The argument is used to set logging file folder. filename :","not.\"\"\" return self._with_error @property def count_errors(self): \"\"\"The number of occured errors.\"\"\" return self._count_errors","self.root.table.configure(**db) # Create formatter in case it is not exists yet or just","bool) is True: self._alarming = alarming if isinstance(control, bool) is True: self._control =","maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email","`Logger` write methods as `rectype` argument. Values are used in formatting. So if","that new output file will be opened at each 00:00:00. maxlevel : int","Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+","= control # Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is","The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut","optional The argument is used to filter critical records. alarming : bool, optional","argument is used to enable or disable execution break in case on error.","The output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for","alarming=False, level=1, **kwargs): \"\"\"Send ERROR record to the output. If exception in current","True: self.root.table.configure(**db) # Create formatter in case it is not exists yet or","= __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name @property def start_date(self):","for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table","str, optional The argument is used to set the `version` attribute. status :","html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True,","Special input object which parse different inputs includeing system specifications, flag arguments, execution","atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass","Version of the application that we are logging. start_date : datetime.datetime Date when","# Unique name of the logger. self._name = name # Attributes describing the","argument is used to define maximum size of output file. maxdays : int","accessed by get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header","to filter info records. debug : bool, optional The argument is used to",": pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML","that higher the break level will interrupt application execution. The default is 1.","message with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass","default is True. debug : bool, optional The argument is used to filter","**kwargs): \"\"\"Send email message. Note that SMTP server connection must be configured. \"\"\"","its execution. filters : dict Record types filters. To filter record type just","during its execution. filters : dict Record types filters. To filter record type","False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status,","directory is not None: path['dir'] = directory if filename is not None: path['name']","style. Also method will send an alarm if alarming attribute is `True`, email","exists. if hasattr(self, 'header') is False: self.header = Header(self) pass def write(self, record):","path. path = {} if directory is not None: path['dir'] = directory if","`rectypes` dictionary. format : str, optional The format of the error message. alarming","not exists yet or just customize it. # Parameter format can be either","__calculate_restart_date(self): \"\"\"Calculate the date when logger must be restarted according to maxdays parameter.","value is False: getattr(self.root, key).close() # Customize output file path. path = {}","None self.version = None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes","file, 'email': email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open()","rectype, message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters ---------- rectype :","rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to the output.\"\"\" string =","when current file must be closed and new one must be opened. \"\"\"","output `email`. html : bool, optional The argument is used to open or","this certain call. level : int The argument is used to describe the","the output.\"\"\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \"\"\"Send CRITICAL","disable execution break in case on error. The default is True. maxsize :","`formatter.error` string presentation. If `formatter.error` is set to `False` the exception will be","0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) #","self.version = None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes =","format : str, optional The argument is used to set record template. info","not None: path['dir'] = directory if filename is not None: path['name'] = filename","is False: self.filters = {} for key, value in {'info': info, 'debug': debug,","configured. if self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is","+ dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output file statistics to catch when","but depends on available record types. All registered record types are stored in","\"\"\"Print INFO message with OK.\"\"\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message,","self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True:","set record template. info : bool, optional The argument is used to filter","dict) is True: self.root.table.configure(**db) # Create formatter in case it is not exists","must be restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays))","number of the blank lines that must be written. \"\"\" string = '\\n'*number","define maximum number of days that will be logged to same file. maxlevel","pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write records. Parameters","The argument is used to open or close output `email`. html : bool,","each 00:00:00. maxlevel : int or bool, optional The argument is used to","different inputs includeing system specifications, flag arguments, execution parameters, user parameters and environment","self.formatter.length self.write(border + '\\n') pass def blank(self, number=1): \"\"\"Write blank lines in the","= self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger to special","of exeisting one then edit this dictinary. message : str The message that","logged to same file. maxlevel : int or bool, optional The argument is","if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool) is True:","number of days that will be logged to same file. The default is","error : bool, optional The argument is used to filter error records. critical","hasattr(self, 'filters') is False: self.filters = {} for key, value in {'info': info,","is 1 which means that new output file will be opened at each","= os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value,","self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \"\"\"Basic method to write records.","filter error records. critical : bool, optional The argument is used to filter","number of errors. The default is False which means it is disabled. Attributes","bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming =","parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \"\"\"Check the output","err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type,","If one of the limit triggers worked then application will be aborted. Parameters","restart(self): \"\"\"Restart logging. Will open new file.\"\"\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status","(int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool))","table}.items(): if value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new()","def bound(self, div=None, length=None): \"\"\"Write horizontal border in the output. Useful when need","output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`.","pass def debug(self, message, **kwargs): \"\"\"Send DEBUG record to the output.\"\"\" rectype =","value to False. root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console","of error according to `rectypes` dictionary. format : str, optional The format of","status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True,","file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True,","path = {} if directory is not None: path['dir'] = directory if filename","inputs: user messages, traceback, frames, user parameters, execution arguments and systems descriptors. Each","f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is","is used to configure SMTP connection. db : dict, optional The argument is","False: self.sysinfo = Sysinfo(self) # Initialize header instance when not exists. if hasattr(self,","is used to open or close output `table`. directory : str, optional The","The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets","identify it. Main application logger will have the same name as a python","self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp,","output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut","is False: getattr(self.root, key).close() # Customize output file path. path = {} if",": Record The argument is used to send it to the output `root`.",": str The message that must be written. \"\"\" self.write(f'{message}\\n') pass def bound(self,","point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be","bool, optional The argument is used to define the break error level (WARNING","'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages =","logging file folder. filename : str, optional The argument is used to set","file extension. smtp : dict, optional The argument is used to configure SMTP","def blank(self, number=1): \"\"\"Write blank lines in the output. Parameters ---------- number :","debug : bool, optional The argument is used to filter debug records. The","object \"{self._name}\">' __repr__ = __str__ @property def name(self): \"\"\"Unique logger name.\"\"\" return self._name","to filter error records. The default is True. critical : bool, optional The","maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if","if alarming attribute is `True`, email output is enabled and SMTP server is","str, optional The message that must be written instead of exception. rectype :","header to the output.\"\"\" string = self.header.create() self.write(string) pass def subhead(self, string): \"\"\"Send","Record types filters. To filter record type just set corresponding item value to","argument is used to filter debug records. warning : bool, optional The argument","restarted according to maxdays parameter. \"\"\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def","message that must be written. error : bool, optional If record is error","Logger(): \"\"\"This class represents a single logger. Logger by it self is a",": int Number of errors that logger catched in the application during its","critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value # Customize limits and","between two border lines to the output. Parameters ---------- string : str The","If you wish to use own record type or change the presentaion of","the output.\"\"\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \"\"\"Send header to the","info records. The default is True. debug : bool, optional The argument is","to filter debug records. The default is False. warning : bool, optional The",": int or bool, optional The argument is used to define the break","critical : bool, optional The argument is used to filter critical records. The","or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that","to open or close output `email`. html : bool, optional The argument is","length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing"],"string":"[\n \"parse different inputs includeing system specifications, flag arguments, execution parameters, user parameters and\",\n \"to define the break error level. maxerrors : int or bool, optional The\",\n \"`table`. directory : str, optional The argument is used to set logging file\",\n \"html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in\",\n \"'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK',\",\n \"Parameters are the same as for creatrion. Parameters ---------- app : str, optional\",\n \"can contaion any parameter of formatter # that must be customized. if isinstance(format,\",\n \"`rectype` argument. Values are used in formatting. So if you wish to modify\",\n \"error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\"\",\n \"different outputs: console, file, email, database table, HTML document - and using information\",\n \"message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs)\",\n \"= None self.version = None # Some logger important attributes self._start_date = dt.datetime.now()\",\n \"it is string then it must describe records format. # When it is\",\n \"self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control,\",\n \"the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as\",\n \"parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize =\",\n \"method with no name. Parameters ---------- name : str, optional The argument is\",\n \"is used to set the `app` attribute. desc : str, optional The argument\",\n \"or disable execution break in case on error. The default is True. maxsize\",\n \"are the same as for creatrion. Parameters ---------- app : str, optional The\",\n \"is used to filter debug records. warning : bool, optional The argument is\",\n \"the alarming mechanism for this certain call. level : int The argument is\",\n \"pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which\",\n \"email message. Note that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs)\",\n \"can be accessed by native logbook methods or by calling `getlogger()` method with\",\n \"alarm is needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs):\",\n \"`Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger\",\n \"if hasattr(self, 'filters') is False: self.filters = {} for key, value in {'info':\",\n \"output. Parameters ---------- record : Record The argument is used to send it\",\n \"{'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages\",\n \"message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date =\",\n \"optional The argument is used to configure DB connection. format : str, optional\",\n \"Parameters ---------- app : str, optional The argument is used to set the\",\n \"open or close output `html`. table : bool, optional The argument is used\",\n \"elif value is False: getattr(self.root, key).close() # Customize output file path. path =\",\n \"stored in the instance attribute rectypes. If you wish to use own record\",\n \"used to enable or disable execution break in case on error. maxsize :\",\n \"str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None,\",\n \"return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self):\",\n \"dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass\",\n \"exists yet or just customize it. # Parameter format can be either string\",\n \"table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console':\",\n \"is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming\",\n \"is used to set logging file extension. smtp : dict, optional The argument\",\n \"configure the logger and all its attributes. This is an only one right\",\n \"message or '' self.record(rectype, message, **kwargs) # Break execution in case of critical\",\n \"by native logbook methods or by calling `getlogger()` method with no name. Parameters\",\n \"datetime.datetime Date when logging was started. rectypes : dict All available record types.\",\n \"permitted. # The alarm will be generated at exit if it is configured.\",\n \"= maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date()\",\n \"False: self.filters = {} for key, value in {'info': info, 'debug': debug, 'error':\",\n \"to filter info records. The default is True. debug : bool, optional The\",\n \"the type NONE. That can be changed but depends on available record types.\",\n \"bool, optional The argument is used to open or close output `table`. directory\",\n \"| +---------+---------+ messages : dict Messages that are printed with some `Logger` methods\",\n \"is True: self.desc = desc if isinstance(version, (str, int, float)) is True: self.version\",\n \"define maximun number of errors. The default is False which means it is\",\n \"argument is used to filter error records. The default is True. critical :\",\n \"to filter error records. critical : bool, optional The argument is used to\",\n \"Parameters ---------- rectype : str By default method creates the record with the\",\n \"length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when need to separate different\",\n \"argument is used to set the `desc` attribute. version : str, optional The\",\n \"= f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text\",\n \"execution was not aborted but alarm is needed. if alarming is True: self.root.email.alarm()\",\n \"is used to enable or disable alarming mechanism. control : bool, optional The\",\n \"**kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype,\",\n \"and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format = self.formatter.error\",\n \"Break execution in case of critical error if permitted. # The alarm will\",\n \"None else format # Parse the error. err_type, err_value, err_tb = sys.exc_info() if\",\n \"that we are logging. desc : str Description of the application that we\",\n \"application that we are logging. start_date : datetime.datetime Date when logging was started.\",\n \"as logbook import sys import time import traceback from .conf import all_loggers from\",\n \"message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs)\",\n \"bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self,\",\n \"is an only one right way to customize logger. Parameters are the same\",\n \"'email': email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if\",\n \"is used to set record template. info : bool, optional The argument is\",\n \"as a python script file. It can be accessed by native logbook methods\",\n \"str Description of the application that we are logging. version : str Version\",\n \"The argument is used to filter info records. The default is True. debug\",\n \"is used to filter info records. debug : bool, optional The argument is\",\n \"Keys are used in `Logger` write methods as `rectype` argument. Values are used\",\n \"bool, optional The argument is used to open or close output `email`. html\",\n \"higher the break level will interrupt application execution. The default is 1. maxerrors\",\n \"+ '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters\",\n \"bool, optional The argument is used to enable or disable execution break in\",\n \"optional The message that must be written instead of exception. rectype : str,\",\n \"maxdays : int or bool, optional The argument is used to define maximum\",\n \"then just add it to that dictinary. By default we provide the next\",\n \"10 Mb. maxdays : int or bool, optional The argument is used to\",\n \"or bool, optional The argument is used to define the break error level\",\n \"the exception according to `formatter.error` string presentation. If `formatter.error` is set to `False`\",\n \"rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs):\",\n \"bool, optional The argument is used to enable or disable alarming mechanism. The\",\n \"**kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info'\",\n \"one must be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not\",\n \"formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error,\",\n \"or bool, optional The argument is used to define maximum size of output\",\n \"days that will be logged to same file. maxlevel : int or bool,\",\n \"isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is\",\n \"error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the\",\n \"and all its attributes. This is an only one right way to customize\",\n \"directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True,\",\n \"to `formatter.error` string presentation. If `formatter.error` is set to `False` the exception will\",\n \"__str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging\",\n \"set that parameter to `True`. **kwargs The keyword arguments used for additional forms\",\n \"alarming : bool The argument is used to enable or disable the alarming\",\n \"available record types. Keys are used in `Logger` write methods as `rectype` argument.\",\n \"optional The argument is used to open or close output `console`. file :\",\n \"Name of the logger. app : str Name of the application that we\",\n \"creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return\",\n \"from .output import Root from .record import Record from .sysinfo import Sysinfo class\",\n \"warning : bool, optional The argument is used to filter warning records. error\",\n \"f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with the new line\",\n \"The argument is used to filter debug records. The default is False. warning\",\n \"to set logging file extension. smtp : dict, optional The argument is used\",\n \"Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration\",\n \"def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message =\",\n \"line(self, message): \\\"\\\"\\\"Send raw text with the new line to the output. Parameters\",\n \"the error. if self._alarming is True and self._with_error is True: self.root.email.alarm() pass def\",\n \"to filter critical records. alarming : bool, optional The argument is used to\",\n \"but alarm is needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None,\",\n \"---------- rectype : str By default method creates the record with the type\",\n \"for record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format\",\n \"be just printed in original Python style. Also method will send an alarm\",\n \"optional The argument is used te define `name` attribute app : str, optional\",\n \"smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2,\",\n \"represents a single logger. Logger by it self is a complex set of\",\n \"the date when logger must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date\",\n \"error message. alarming : bool The argument is used to enable or disable\",\n \"presentaion of exeisting one then edit this dictinary. message : str The message\",\n \"| Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO |\",\n \"environment variables and transforms all of that to `Dataset` object. Through the `Dataset`\",\n \"True: if self._maxsize is not False: if self.root.file.size is not None: if self.root.file.size\",\n \"key).new() elif value is False: getattr(self.root, key).close() # Customize output file path. path\",\n \"that will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper()\",\n \"---------- div : str, optional Symbol that is used to bulid the bound.\",\n \"the `version` attribute. status : bool, optional The argument is used to open\",\n \"info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message,\",\n \"The argument is used to open or close output `table`. directory : str,\",\n \"execution. The default is 1. maxerrors : int or bool, optional The argument\",\n \"\\\"\\\"\\\"Send raw text with the new line to the output. Parameters ---------- message\",\n \"'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True:\",\n \"string presentation. If `formatter.error` is set to `False` the exception will be just\",\n \"mechanism. The default is True. control : bool, optional The argument is used\",\n \"the exception will be just printed in original Python style. Also method will\",\n \"self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful\",\n \"# Output shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html\",\n \"limit triggers worked then application will be aborted. Parameters ---------- message : str,\",\n \"The message that must be written instead of exception. rectype : str, optional\",\n \"application will be aborted. Parameters ---------- message : str, optional The message that\",\n \"elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record type filters.\",\n \"= Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ----------\",\n \"*args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection must be configured.\",\n \"argument is used to set logging file folder. filename : str, optional The\",\n \": str Version of the application that we are logging. start_date : datetime.datetime\",\n \"open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if\",\n \"|ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that are\",\n \"Set exit function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name]\",\n \"format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or\",\n \"application during its execution. count_errors : int Number of errors that logger catched\",\n \"name # Attributes describing the application. self.app = None self.desc = None self.version\",\n \"set logging file folder. filename : str, optional The argument is used to\",\n \"optional The argument is used to open or close output `file`. email :\",\n \"logger will have the same name as a python script file. It can\",\n \": dict Messages that are printed with some `Logger` methods like `ok()`, `success()`,\",\n \"the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory,\",\n \"set logging file name. extension : str, optional The argument is used to\",\n \"* self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in\",\n \"argument is used to enable or disable the alarming mechanism for this certain\",\n \"is requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email,\",\n \"length : int, optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div *\",\n \"The keyword arguments used for additional forms (variables) for record and message formatting.\",\n \"version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,\",\n \"email output is enabled and SMTP server is configurated. If one of the\",\n \"int The argument is used to describe the error level. **kwargs The keyword\",\n \"customize it. # Parameter format can be either string or dictionary. # When\",\n \"all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__\",\n \"file statistics to catch when current file must be closed and new one\",\n \"**kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype,\",\n \"True. control : bool, optional The argument is used to enable or disable\",\n \"when logging was started. rectypes : dict All available record types. Keys are\",\n \"email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if key\",\n \"error level. maxerrors : int or bool, optional The argument is used to\",\n \"self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console,\",\n \"argument is used to define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str)\",\n \"text with the new line to the output. Parameters ---------- message : str\",\n \"set the `version` attribute. status : bool, optional The argument is used to\",\n \"is True. critical : bool, optional The argument is used to filter critical\",\n \"It can be accessed by native logbook methods or by calling `getlogger()` method\",\n \"not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False:\",\n \"maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app = app\",\n \"filter info records. debug : bool, optional The argument is used to filter\",\n \"All registered record types are stored in the instance attribute rectypes. If you\",\n \"self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines\",\n \"Main application logger will have the same name as a python script file.\",\n \"you wish to use own record types then just add it to that\",\n \"self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger\",\n \"not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was\",\n \"self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\"\",\n \"err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb)\",\n \"Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n')\",\n \"an alarm if alarming attribute is `True`, email output is enabled and SMTP\",\n \"the break level will interrupt application execution. The default is 1. maxerrors :\",\n \"'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory,\",\n \"self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\"\",\n \"True: format = {'record': format} if hasattr(self, 'formatter') is False: format = {}\",\n \"file, email, database table, HTML document - and using information from diffrent inputs:\",\n \"= 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print\",\n \"output if it is requested. if hasattr(self, 'root') is False: self.root = Root(self,\",\n \"= {'record': format} if hasattr(self, 'formatter') is False: format = {} if isinstance(format,\",\n \"catch when current file must be closed and new one must be opened.\",\n \"written. error : bool, optional If record is error then set that parameter\",\n \"argument is used to open or close output `console`. file : bool, optional\",\n \"that to `Dataset` object. Through the `Dataset` object data can be easily accessed\",\n \"modify # existing output if it is requested. if hasattr(self, 'root') is False:\",\n \"format = self.formatter.error if format is None else format # Parse the error.\",\n \"optional The argument is used to define maximun number of errors. \\\"\\\"\\\" if\",\n \"used to set logging file folder. filename : str, optional The argument is\",\n \"header : pypyrus_logbook.header.Header The header that can be printed to the writable output.\",\n \"or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return\",\n \"self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if\",\n \"are logging. start_date : datetime.datetime Date when logging was started. rectypes : dict\",\n \"arguments used for additional forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error\",\n \"self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date\",\n \"The argument is used to set logging file name. extension : str, optional\",\n \"default is False which means it is disabled. Attributes ---------- name : str\",\n \"output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error\",\n \"be opened at each 00:00:00. maxlevel : int or bool, optional The argument\",\n \"False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension,\",\n \"to filter debug records. warning : bool, optional The argument is used to\",\n \"level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception in current traceback\",\n \"alarm if execution was not aborted but alarm is needed. if alarming is\",\n \"errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app = app if isinstance(desc, str)\",\n \"are logging. version : str Version of the application that we are logging.\",\n \"**kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype\",\n \"self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted according\",\n \"format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception in\",\n \"'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS',\",\n \"bool, optional The argument is used to open or close output `console`. file\",\n \"in current traceback exists then method will format the exception according to `formatter.error`\",\n \"smtp : dict, optional The argument is used to configure SMTP connection. db\",\n \"define maximum size of output file. Must be presented as number of bytes.\",\n \": str, optional The argument is used to set the `version` attribute. status\",\n \"alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record\",\n \"will be just printed in original Python style. Also method will send an\",\n \"close output `email`. html : bool, optional The argument is used to open\",\n \"= {} for key, value in {'info': info, 'debug': debug, 'error': error, 'warning':\",\n \"message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message\",\n \"type filters. if hasattr(self, 'filters') is False: self.filters = {} for key, value\",\n \"attribute. desc : str, optional The argument is used to set the `desc`\",\n \"critical records. The default is True. alarming : bool, optional The argument is\",\n \"if format is None else format # Parse the error. err_type, err_value, err_tb\",\n \"filters : dict Record types filters. To filter record type just set corresponding\",\n \"printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True,\",\n \"format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) #\",\n \"INFO message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs)\",\n \"SMTP server is configurated. If one of the limit triggers worked then application\",\n \"isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float,\",\n \"Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new()\",\n \"to define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app\",\n \"self.email = self.root.email self.html = self.root.html self.table = self.root.table # Set exit function.\",\n \"file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None,\",\n \"bool, optional The argument is used to open or close output `html`. table\",\n \"which sets all formatting configuration like record template, error message template, line length\",\n \"\\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self):\",\n \"bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True:\",\n \"self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string\",\n \"False: format = {} if isinstance(format, dict) is False else format self.formatter =\",\n \"requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html,\",\n \"output. Parameters ---------- message : str The message that must be written. \\\"\\\"\\\"\",\n \"self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must\",\n \"True: self._control = control # Initialize sysinfo instance when not exists. if hasattr(self,\",\n \"0, ERRROR = 1, CRITICAL = 2). All that higher the break level\",\n \"else: message = message or '' self.record(rectype, message, **kwargs) # Break execution in\",\n \"\\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if self._alarming is\",\n \"new line to the output. Parameters ---------- message : str The message that\",\n \"'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO\",\n \"key, value in {'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items():\",\n \"Attributes describing the application. self.app = None self.desc = None self.version = None\",\n \"output `table`. directory : str, optional The argument is used to set logging\",\n \"message : str, optional The message that must be written instead of exception.\",\n \"it. Main application logger will have the same name as a python script\",\n \"The argument is used to set the `app` attribute. desc : str, optional\",\n \": bool, optional The argument is used to filter warning records. error :\",\n \"to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to\",\n \"maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the\",\n \"success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success']\",\n \"debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype,\",\n \"execution. count_errors : int Number of errors that logger catched in the application\",\n \"be aborted. Parameters ---------- message : str, optional The message that must be\",\n \"is used to enable or disable execution break in case on error. maxsize\",\n \"logged to same file. The default is 1 which means that new output\",\n \"the output. If exception in current traceback exists then method will format the\",\n \"optional The argument is used to open or close output `root`. console :\",\n \"an unique name which will help to identify it. Main application logger will\",\n \"def with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return self._with_error @property\",\n \"dict) is False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True:\",\n \"from .header import Header from .output import Root from .record import Record from\",\n \"output root if it is not exists. In other case modify # existing\",\n \"in case on error. maxsize : int or bool, optional The argument is\",\n \"to write records. Parameters ---------- rectype : str By default method creates the\",\n \"current file must be closed and new one must be opened. \\\"\\\"\\\" if\",\n \"we are logging. version : str Version of the application that we are\",\n \"or close output `file`. email : bool, optional The argument is used to\",\n \"True. alarming : bool, optional The argument is used to enable or disable\",\n \".header import Header from .output import Root from .record import Record from .sysinfo\",\n \"(self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch\",\n \"records. The default is True. debug : bool, optional The argument is used\",\n \"that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal\",\n \"rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG\",\n \"and systems descriptors. Each logger must have an unique name which will help\",\n \"def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug'\",\n \"The default is False. warning : bool, optional The argument is used to\",\n \"time import traceback from .conf import all_loggers from .formatter import Formatter from .header\",\n \"by it self is a complex set of methods, items and commands that\",\n \"__init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None,\",\n \"if filename is not None: path['name'] = filename if extension is not None:\",\n \"to set logging file folder. filename : str, optional The argument is used\",\n \"argument is used to configure SMTP connection. db : dict, optional The argument\",\n \"Unique name of the logger. self._name = name # Attributes describing the application.\",\n \"border lines to the output. Parameters ---------- string : str The text that\",\n \"in case on error. The default is True. maxsize : int or bool,\",\n \"is not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not\",\n \"case of critical error if permitted. # The alarm will be generated at\",\n \"self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write\",\n \"Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter :\",\n \"unique name which will help to identify it. Main application logger will have\",\n \"maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name = name #\",\n \"'\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ----------\",\n \"\\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file\",\n \"optional The argument is used to enable or disable execution break in case\",\n \"DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def\",\n \"output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for\",\n \"pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message\",\n \"lines to the output. Parameters ---------- string : str The text that will\",\n \"is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db)\",\n \"method to write records. Parameters ---------- rectype : str By default method creates\",\n \"that parameter to `True`. **kwargs The keyword arguments used for additional forms (variables)\",\n \"warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure\",\n \"True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors =\",\n \"and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger\",\n \"if directory is not None: path['dir'] = directory if filename is not None:\",\n \"type of error according to `rectypes` dictionary. format : str, optional The format\",\n \": datetime.datetime Date when logging was started. rectypes : dict All available record\",\n \"The header that can be printed to the writable output. \\\"\\\"\\\" def __init__(self,\",\n \"err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename)\",\n \"The argument is used to define the break error level (WARNING = 0,\",\n \"{'record': format} if hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict)\",\n \"default method creates the record with the type NONE. That can be changed\",\n \"argument is used to open or close output `html`. table : bool, optional\",\n \"optional The argument is used to set logging file folder. filename : str,\",\n \"db : dict, optional The argument is used to configure DB connection. format\",\n \"items and commands that together gives funcionality for advanced logging in different outputs:\",\n \"of exception. rectype : str, optional The type of error according to `rectypes`\",\n \"used to open or close output `html`. table : bool, optional The argument\",\n \"you wish to modify `rectype` form then edit appropriate one here. If you\",\n \"optional The argument is used to filter debug records. warning : bool, optional\",\n \"string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text\",\n \"True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel\",\n \"if isinstance(value, bool) is True: self.filters[key] = value # Customize limits and parameters\",\n \"desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None,\",\n \"self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table\",\n \"changed but depends on available record types. All registered record types are stored\",\n \"HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`.\",\n \"maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all its\",\n \"it self is a complex set of methods, items and commands that together\",\n \"output. Useful when need to separate different blocks of information. Parameters ---------- div\",\n \"= desc if isinstance(version, (str, int, float)) is True: self.version = version #\",\n \"DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about\",\n \"message. alarming : bool The argument is used to enable or disable the\",\n \"execution parameters, user parameters and environment variables and transforms all of that to\",\n \"\\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def\",\n \"(variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record\",\n \"f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype,\",\n \"object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`.\",\n \"|warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages\",\n \"The argument is used to filter error records. The default is True. critical\",\n \"0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email,\",\n \"= {} if isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif\",\n \"or dictionary. # When it is string then it must describe records format.\",\n \"maximum number of days that will be logged to same file. The default\",\n \"self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors,\",\n \"= Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db)\",\n \"that will be logged to same file. The default is 1 which means\",\n \": str The message that must be written. error : bool, optional If\",\n \"is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename,\",\n \"or disable the alarming mechanism for this certain call. level : int The\",\n \"(WARNING = 0, ERRROR = 1, CRITICAL = 2). All that higher the\",\n \"used in `Logger` write methods as `rectype` argument. Values are used in formatting.\",\n \"case modify # existing output if it is requested. if hasattr(self, 'root') is\",\n \"database table, HTML document - and using information from diffrent inputs: user messages,\",\n \"is not exists. In other case modify # existing output if it is\",\n \"True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when\",\n \"maxlevel : int or bool, optional The argument is used to define the\",\n \"break in case on error. maxsize : int or bool, optional The argument\",\n \"one right way to customize logger. Parameters are the same as for creatrion.\",\n \"start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was\",\n \"isinstance(app, str) is True: self.app = app if isinstance(desc, str) is True: self.desc\",\n \"is used to open or close output `html`. table : bool, optional The\",\n \"to same file. The default is 1 which means that new output file\",\n \"is not None: path['name'] = filename if extension is not None: path['ext'] =\",\n \"isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int,\",\n \"level. **kwargs The keyword arguments used for additional forms (variables) for record and\",\n \"logger. app : str Name of the application that we are logging. desc\",\n \"sets all formatting configuration like record template, error message template, line length etc.\",\n \"used to filter info records. The default is True. debug : bool, optional\",\n \"# Set exit function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary.\",\n \"the same as for creatrion. Parameters ---------- app : str, optional The argument\",\n \"the value of appropriate item. with_errors : int The flag shows that logger\",\n \"self._alarming = alarming if isinstance(control, bool) is True: self._control = control # Initialize\",\n \"is used to bulid the bound. length : int, optional Lenght of the\",\n \"types. All registered record types are stored in the instance attribute rectypes. If\",\n \"self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is\",\n \"writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False,\",\n \"int or bool, optional The argument is used to define the break error\",\n \"to define maximum number of days that will be logged to same file.\",\n \"header instance when not exists. if hasattr(self, 'header') is False: self.header = Header(self)\",\n \"None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE',\",\n \"bytes. The default is 10 Mb. maxdays : int or bool, optional The\",\n \"used to set the `desc` attribute. version : str, optional The argument is\",\n \"self._control = control # Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo')\",\n \"important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG',\",\n \"= f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with the new\",\n \"text of this messages just edit the value of appropriate item. with_errors :\",\n \"|info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error\",\n \"str, optional The argument is used to set the `app` attribute. desc :\",\n \"int or bool, optional The argument is used to define maximun number of\",\n \"modify `rectype` form then edit appropriate one here. If you wish to use\",\n \"used to open or close output `console`. file : bool, optional The argument\",\n \"All that higher the break level will interrupt application execution. The default is\",\n \"input object which parse different inputs includeing system specifications, flag arguments, execution parameters,\",\n \"control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name =\",\n \"traceback, frames, user parameters, execution arguments and systems descriptors. Each logger must have\",\n \"is True: self.version = version # Build the output root if it is\",\n \"|NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING\",\n \"level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors:\",\n \"output `console`. file : bool, optional The argument is used to open or\",\n \"`True`, email output is enabled and SMTP server is configurated. If one of\",\n \"just edit the value of appropriate item. with_errors : int The flag shows\",\n \"version : str, optional The argument is used to set the `version` attribute.\",\n \"def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique\",\n \"Root from .record import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class\",\n \"'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete the initial\",\n \"'filters') is False: self.filters = {} for key, value in {'info': info, 'debug':\",\n \"\\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def\",\n \"be logged to same file. The default is 1 which means that new\",\n \": str, optional The argument is used to set the `app` attribute. desc\",\n \"True: self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self, 'filters') is\",\n \"maximum size of output file. maxdays : int or bool, optional The argument\",\n \"size of output file. maxdays : int or bool, optional The argument is\",\n \"To filter record type just set corresponding item value to False. root :\",\n \"in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj =\",\n \"`rectype` form then edit appropriate one here. If you wish to use own\",\n \"will interrupt application execution. The default is 1. maxerrors : int or bool,\",\n \"is True: self.root.table.configure(**db) # Create formatter in case it is not exists yet\",\n \"break level will interrupt application execution. The default is 1. maxerrors : int\",\n \"'\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or ''\",\n \"if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case it is\",\n \"format can be either string or dictionary. # When it is string then\",\n \"INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs)\",\n \"argument is used to filter info records. The default is True. debug :\",\n \"`console`. file : bool, optional The argument is used to open or close\",\n \"def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows\",\n \"email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True,\",\n \"optional The argument is used to filter error records. critical : bool, optional\",\n \"complex set of methods, items and commands that together gives funcionality for advanced\",\n \"False which means it is disabled. Attributes ---------- name : str Name of\",\n \"break error level. maxerrors : int or bool, optional The argument is used\",\n \"self.version = version # Build the output root if it is not exists.\",\n \"self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send\",\n \"import pypyrus_logbook as logbook import sys import time import traceback from .conf import\",\n \"must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print\",\n \"= filename if extension is not None: path['ext'] = extension if len(path) >\",\n \"is used to filter warning records. The default is True. error : bool,\",\n \"pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two border lines\",\n \"pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date()\",\n \"parameters, execution arguments and systems descriptors. Each logger must have an unique name\",\n \"= version # Build the output root if it is not exists. In\",\n \"from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger\",\n \"a complex set of methods, items and commands that together gives funcionality for\",\n \"break in case on error. The default is True. maxsize : int or\",\n \"are used in formatting. So if you wish to modify `rectype` form then\",\n \"the error. err_type, err_value, err_tb = sys.exc_info() if message is None and err_type\",\n \"ERROR record to the output. If exception in current traceback exists then method\",\n \"execution in case of critical error if permitted. # The alarm will be\",\n \"is used to set the `desc` attribute. version : str, optional The argument\",\n \"set the `desc` attribute. version : str, optional The argument is used to\",\n \"output `root`. console : bool, optional The argument is used to open or\",\n \"= True self._count_errors += 1 format = self.formatter.error if format is None else\",\n \"to enable or disable execution break in case on error. The default is\",\n \"used to set the `app` attribute. desc : str, optional The argument is\",\n \"warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value # Customize\",\n \"argument is used to define maximun number of errors. The default is False\",\n \"None: path['name'] = filename if extension is not None: path['ext'] = extension if\",\n \"printed in original Python style. Also method will send an alarm if alarming\",\n \"pass def line(self, message): \\\"\\\"\\\"Send raw text with the new line to the\",\n \"err_tb = sys.exc_info() if message is None and err_type is not None: if\",\n \"False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) #\",\n \"if key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() #\",\n \"= self.formatter.error if format is None else format # Parse the error. err_type,\",\n \"`success()`, `fail()`. If you wish to modify the text of this messages just\",\n \"True: err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code =\",\n \"maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming,\",\n \"**kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\"\",\n \"configure DB connection. format : str, optional The argument is used to set\",\n \"\\\"\\\"\\\"Write horizontal border in the output. Useful when need to separate different blocks\",\n \"user parameters, execution arguments and systems descriptors. Each logger must have an unique\",\n \"is False: format = {} if isinstance(format, dict) is False else format self.formatter\",\n \"traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else:\",\n \"close output `file`. email : bool, optional The argument is used to open\",\n \".record import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a\",\n \"optional The argument is used to filter info records. The default is True.\",\n \"operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header\",\n \"that must be written. error : bool, optional If record is error then\",\n \"user messages, traceback, frames, user parameters, execution arguments and systems descriptors. Each logger\",\n \"db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None):\",\n \"pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system specifications, flag arguments,\",\n \"debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name\",\n \": int The flag shows that logger catched errors in the application during\",\n \"is used to enable or disable alarming mechanism. The default is True. control\",\n \"alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file\",\n \"err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line,\",\n \"Also method will send an alarm if alarming attribute is `True`, email output\",\n \"alarming if isinstance(control, bool) is True: self._control = control # Initialize sysinfo instance\",\n \"control : bool, optional The argument is used to enable or disable execution\",\n \"or change the presentaion of exeisting one then edit this dictinary. message :\",\n \"header that can be printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None,\",\n \"is False which means it is disabled. Attributes ---------- name : str Name\",\n \"\\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date\",\n \"app if isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str, int,\",\n \"# Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter\",\n \"# Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo\",\n \"arguments used for additional forms (variables) for record and message formatting. \\\"\\\"\\\" if\",\n \"used te define `name` attribute app : str, optional The argument is used\",\n \"to configure SMTP connection. db : dict, optional The argument is used to\",\n \"used to define maximum number of days that will be logged to same\",\n \"to the output. Parameters ---------- message : str The message that must be\",\n \"send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection must be\",\n \"to the output. If exception in current traceback exists then method will format\",\n \"error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the\",\n \"self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters\",\n \".sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by\",\n \"argument is used to describe the error level. **kwargs The keyword arguments used\",\n \"else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create\",\n \"to that dictinary. By default we provide the next few record types: +---------+---------+\",\n \"server is configurated. If one of the limit triggers worked then application will\",\n \"The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut\",\n \"= self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new\",\n \"True: self.desc = desc if isinstance(version, (str, int, float)) is True: self.version =\",\n \"to identify it. Main application logger will have the same name as a\",\n \"if you wish to modify `rectype` form then edit appropriate one here. If\",\n \"self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger to\",\n \"own record types then just add it to that dictinary. By default we\",\n \"it is disabled. Attributes ---------- name : str Name of the logger. app\",\n \"is used to filter warning records. error : bool, optional The argument is\",\n \"bool, optional The argument is used to filter critical records. alarming : bool,\",\n \"used for additional forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error =\",\n \"two border lines to the output. Parameters ---------- string : str The text\",\n \"alarming mechanism. control : bool, optional The argument is used to enable or\",\n \"\\\"\\\"\\\"This class represents a single logger. Logger by it self is a complex\",\n \"errors in the application during its execution. count_errors : int Number of errors\",\n \"will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string)\",\n \"number of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app = app if\",\n \"file. The default is 1 which means that new output file will be\",\n \"is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self,\",\n \"in the output. Parameters ---------- number : int, optional The number of the\",\n \"that logger catched in the application during its execution. filters : dict Record\",\n \"= err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file\",\n \"def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message =\",\n \"is dictionary it can contaion any parameter of formatter # that must be\",\n \"execution. filters : dict Record types filters. To filter record type just set\",\n \"traceback exists then method will format the exception according to `formatter.error` string presentation.\",\n \"used to define maximum size of output file. Must be presented as number\",\n \"str Version of the application that we are logging. start_date : datetime.datetime Date\",\n \"additional forms (variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is\",\n \"corresponding item value to False. root : pypyrus_logbook.output.Root The output `Root` object. console\",\n \"then method will format the exception according to `formatter.error` string presentation. If `formatter.error`\",\n \"console : bool, optional The argument is used to open or close output\",\n \"configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note\",\n \"must be closed and new one must be opened. \\\"\\\"\\\" if self.root.file.status is\",\n \"bool, optional The argument is used to filter error records. critical : bool,\",\n \"is True: self._alarming = alarming if isinstance(control, bool) is True: self._control = control\",\n \"number : int, optional The number of the blank lines that must be\",\n \"record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self,\",\n \"pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document.\",\n \"Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is\",\n \"output is enabled and SMTP server is configurated. If one of the limit\",\n \"formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record template,\",\n \"True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message,\",\n \"True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP\",\n \"same as for creatrion. Parameters ---------- app : str, optional The argument is\",\n \"record with the type NONE. That can be changed but depends on available\",\n \"self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger to special all_loggers\",\n \"and using information from diffrent inputs: user messages, traceback, frames, user parameters, execution\",\n \"table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter\",\n \"def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ----------\",\n \"output. Parameters ---------- string : str The text that will be presented as\",\n \"is enabled and SMTP server is configurated. If one of the limit triggers\",\n \"string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\"\",\n \"smtp=smtp, db=db) else: for key, value in {'console': console, 'file': file, 'email': email,\",\n \"That can be changed but depends on available record types. All registered record\",\n \"FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self):\",\n \"information from diffrent inputs: user messages, traceback, frames, user parameters, execution arguments and\",\n \"customized. if isinstance(format, str) is True: format = {'record': format} if hasattr(self, 'formatter')\",\n \"rectype : str, optional The type of error according to `rectypes` dictionary. format\",\n \"`Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file\",\n \"isinstance(format, str) is True: format = {'record': format} if hasattr(self, 'formatter') is False:\",\n \"`file`. email : bool, optional The argument is used to open or close\",\n \"`sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed to\",\n \"calling `getlogger()` method with no name. Parameters ---------- name : str, optional The\",\n \"@property def with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return self._with_error\",\n \"for key, value in {'console': console, 'file': file, 'email': email, 'html': html, 'table':\",\n \"`False` the exception will be just printed in original Python style. Also method\",\n \"email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value\",\n \"---------- message : str, optional The message that must be written instead of\",\n \"The argument is used to enable or disable alarming mechanism. The default is\",\n \"default is True. control : bool, optional The argument is used to enable\",\n \"is used to define the break error level. maxerrors : int or bool,\",\n \"the output. Parameters ---------- record : Record The argument is used to send\",\n \"the presentaion of exeisting one then edit this dictinary. message : str The\",\n \"of bytes. The default is 10 Mb. maxdays : int or bool, optional\",\n \"depends on available record types. All registered record types are stored in the\",\n \"optional The argument is used to define the break error level (WARNING =\",\n \"self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table #\",\n \"will be aborted. Parameters ---------- message : str, optional The message that must\",\n \"import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single\",\n \"to bulid the bound. length : int, optional Lenght of the bound. \\\"\\\"\\\"\",\n \"written instead of exception. rectype : str, optional The type of error according\",\n \"maxlevel=2, maxerrors=False): # Unique name of the logger. self._name = name # Attributes\",\n \"optional The argument is used to define maximum size of output file. maxdays\",\n \"= self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank\",\n \"**kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now()\",\n \"the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True,\",\n \": str, optional The argument is used to set logging file name. extension\",\n \"db=db) else: for key, value in {'console': console, 'file': file, 'email': email, 'html':\",\n \"key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize\",\n \"__str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger\",\n \"shows was an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number\",\n \"Parameter format can be either string or dictionary. # When it is string\",\n \"SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs):\",\n \"or disable alarming mechanism. The default is True. control : bool, optional The\",\n \"of that to `Dataset` object. Through the `Dataset` object data can be easily\",\n \"used to set logging file extension. smtp : dict, optional The argument is\",\n \"hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict) is False else\",\n \"smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel,\",\n \"bool, optional The argument is used to filter critical records. The default is\",\n \"desc if isinstance(version, (str, int, float)) is True: self.version = version # Build\",\n \"maximum number of days that will be logged to same file. maxlevel :\",\n \"have an unique name which will help to identify it. Main application logger\",\n \"if self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not\",\n \"way to customize logger. Parameters are the same as for creatrion. Parameters ----------\",\n \"presented as number of bytes. The default is 10 Mb. maxdays : int\",\n \"default is False. warning : bool, optional The argument is used to filter\",\n \"control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all\",\n \"'header') is False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to\",\n \"is configured. if self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors\",\n \"text between two border lines to the output. Parameters ---------- string : str\",\n \"close output `console`. file : bool, optional The argument is used to open\",\n \"if self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record)\",\n \"table : bool, optional The argument is used to open or close output\",\n \"error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value\",\n \"separate different blocks of information. Parameters ---------- div : str, optional Symbol that\",\n \"argument is used to define the break error level. maxerrors : int or\",\n \"format the exception according to `formatter.error` string presentation. If `formatter.error` is set to\",\n \"None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False: if\",\n \"method to configure the logger and all its attributes. This is an only\",\n \": int or bool, optional The argument is used to define maximum size\",\n \"import Header from .output import Root from .record import Record from .sysinfo import\",\n \"according to `formatter.error` string presentation. If `formatter.error` is set to `False` the exception\",\n \"rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart\",\n \": bool, optional The argument is used to enable or disable execution break\",\n \"bool, optional The argument is used to define maximun number of errors. The\",\n \"attribute. status : bool, optional The argument is used to open or close\",\n \"that will be logged to same file. maxlevel : int or bool, optional\",\n \"or by calling `getlogger()` method with no name. Parameters ---------- name : str,\",\n \"etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system\",\n \"call. level : int The argument is used to describe the error level.\",\n \"errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None,\",\n \"email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error,\",\n \"|critical |CRITICAL | +---------+---------+ messages : dict Messages that are printed with some\",\n \"by calling `getlogger()` method with no name. Parameters ---------- name : str, optional\",\n \": bool, optional The argument is used to open or close output `html`.\",\n \"output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic\",\n \"default is True. critical : bool, optional The argument is used to filter\",\n \"self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors =\",\n \"self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table\",\n \"lines in the output. Parameters ---------- number : int, optional The number of\",\n \"means it is disabled. Attributes ---------- name : str Name of the logger.\",\n \"+---------+---------+ messages : dict Messages that are printed with some `Logger` methods like\",\n \"method creates the record with the type NONE. That can be changed but\",\n \"html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output\",\n \"accessed by native logbook methods or by calling `getlogger()` method with no name.\",\n \"- and using information from diffrent inputs: user messages, traceback, frames, user parameters,\",\n \"as for creatrion. Parameters ---------- app : str, optional The argument is used\",\n \"must be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not False:\",\n \"exception. rectype : str, optional The type of error according to `rectypes` dictionary.\",\n \"together gives funcionality for advanced logging in different outputs: console, file, email, database\",\n \"dictionary. format : str, optional The format of the error message. alarming :\",\n \"optional The format of the error message. alarming : bool The argument is\",\n \"---------- record : Record The argument is used to send it to the\",\n \"= '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or\",\n \": bool, optional The argument is used to filter critical records. alarming :\",\n \"self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not False:\",\n \"'file': file, 'email': email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root,\",\n \"customize record type filters. if hasattr(self, 'filters') is False: self.filters = {} for\",\n \"exists then method will format the exception according to `formatter.error` string presentation. If\",\n \"used to filter warning records. The default is True. error : bool, optional\",\n \"The argument is used to filter debug records. warning : bool, optional The\",\n \"'FAIL'} self._with_error = False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app,\",\n \"is False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format)\",\n \"self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two border\",\n \"self is a complex set of methods, items and commands that together gives\",\n \"define maximum size of output file. maxdays : int or bool, optional The\",\n \"count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None,\",\n \"dictionary it can contaion any parameter of formatter # that must be customized.\",\n \"Through the `Dataset` object data can be easily accessed by get item operation\",\n \"wish to use own record type or change the presentaion of exeisting one\",\n \"False. root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output\",\n \"html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical,\",\n \"The default is False which means it is disabled. Attributes ---------- name :\",\n \"open or close output `root`. console : bool, optional The argument is used\",\n \"argument is used to define maximum size of output file. Must be presented\",\n \"extension is not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) #\",\n \"case on error. The default is True. maxsize : int or bool, optional\",\n \"debug : bool, optional The argument is used to filter debug records. warning\",\n \"= 2). All that higher the break level will interrupt application execution. The\",\n \"dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR',\",\n \"is True: self.app = app if isinstance(desc, str) is True: self.desc = desc\",\n \"no name. Parameters ---------- name : str, optional The argument is used te\",\n \"'formatter') is False: format = {} if isinstance(format, dict) is False else format\",\n \"int Number of errors that logger catched in the application during its execution.\",\n \"pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output\",\n \"console, file, email, database table, HTML document - and using information from diffrent\",\n \"True. debug : bool, optional The argument is used to filter debug records.\",\n \"self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self, 'filters') is False:\",\n \"self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays\",\n \"dict Messages that are printed with some `Logger` methods like `ok()`, `success()`, `fail()`.\",\n \"float)) is True: self.version = version # Build the output root if it\",\n \"be presented as number of bytes. The default is 10 Mb. maxdays :\",\n \"version # Build the output root if it is not exists. In other\",\n \"of days that will be logged to same file. maxlevel : int or\",\n \"self._alarming is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the\",\n \"html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if key == 'file':\",\n \"The argument is used to define maximum number of days that will be\",\n \"critical records. alarming : bool, optional The argument is used to enable or\",\n \"`version` attribute. status : bool, optional The argument is used to open or\",\n \"# Parse the error. err_type, err_value, err_tb = sys.exc_info() if message is None\",\n \"def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when current file must\",\n \"extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None,\",\n \"error. err_type, err_value, err_tb = sys.exc_info() if message is None and err_type is\",\n \"value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value\",\n \"template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object\",\n \"for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1]\",\n \"the `desc` attribute. version : str, optional The argument is used to set\",\n \"used to open or close output `email`. html : bool, optional The argument\",\n \"the application that we are logging. start_date : datetime.datetime Date when logging was\",\n \"is string then it must describe records format. # When it is dictionary\",\n \"`Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record\",\n \"for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record =\",\n \"flag shows that logger catched errors in the application during its execution. count_errors\",\n \"maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file\",\n \"self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was not aborted but\",\n \"DB connection. format : str, optional The argument is used to set record\",\n \"= dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error':\",\n \"The default is True. control : bool, optional The argument is used to\",\n \"message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype : str\",\n \"the blank lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass\",\n \"= Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send\",\n \"directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control,\",\n \"return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def\",\n \"the application that we are logging. desc : str Description of the application\",\n \"optional The argument is used to set logging file name. extension : str,\",\n \"the output. Parameters ---------- number : int, optional The number of the blank\",\n \"str) is True: self.desc = desc if isinstance(version, (str, int, float)) is True:\",\n \"application that we are logging. desc : str Description of the application that\",\n \"float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming\",\n \"attributes. This is an only one right way to customize logger. Parameters are\",\n \"Sysinfo(self) # Initialize header instance when not exists. if hasattr(self, 'header') is False:\",\n \"| +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR |\",\n \"message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype,\",\n \"if isinstance(app, str) is True: self.app = app if isinstance(desc, str) is True:\",\n \"with_errors : int The flag shows that logger catched errors in the application\",\n \": bool, optional The argument is used to filter info records. debug :\",\n \"if isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif isinstance(format, dict)\",\n \"send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype,\",\n \"connection. db : dict, optional The argument is used to configure DB connection.\",\n \"= maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel\",\n \"message = message or '' self.record(rectype, message, **kwargs) # Break execution in case\",\n \"message, **kwargs) # Break execution in case of critical error if permitted. #\",\n \"version : str Version of the application that we are logging. start_date :\",\n \"err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name,\",\n \"= extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp,\",\n \"root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output `Console`\",\n \"bool, optional The argument is used to filter warning records. The default is\",\n \"is True: self._control = control # Initialize sysinfo instance when not exists. if\",\n \"disabled. Attributes ---------- name : str Name of the logger. app : str\",\n \"same file. maxlevel : int or bool, optional The argument is used to\",\n \"execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if\",\n \"str Name of the logger. app : str Name of the application that\",\n \"use own record types then just add it to that dictinary. By default\",\n \"file. maxlevel : int or bool, optional The argument is used to define\",\n \"warning records. The default is True. error : bool, optional The argument is\",\n \"record type filters. if hasattr(self, 'filters') is False: self.filters = {} for key,\",\n \"to configure DB connection. format : str, optional The argument is used to\",\n \"rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record\",\n \"logging file extension. smtp : dict, optional The argument is used to configure\",\n \"filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10),\",\n \"is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date\",\n \"presentation. If `formatter.error` is set to `False` the exception will be just printed\",\n \"used to enable or disable alarming mechanism. control : bool, optional The argument\",\n \"**kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass\",\n \"used to set record template. info : bool, optional The argument is used\",\n \"dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True:\",\n \"new one must be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is\",\n \"The argument is used to set the `version` attribute. status : bool, optional\",\n \"= self.root.email self.html = self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit)\",\n \"argument is used to filter warning records. error : bool, optional The argument\",\n \"are used in `Logger` write methods as `rectype` argument. Values are used in\",\n \"the application during its execution. count_errors : int Number of errors that logger\",\n \"message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype =\",\n \"used to set the `version` attribute. status : bool, optional The argument is\",\n \"str, optional The argument is used to set logging file name. extension :\",\n \"self.root.file.status is True: if self._maxsize is not False: if self.root.file.size is not None:\",\n \"True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted\",\n \"must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border\",\n \"isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is\",\n \"WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self,\",\n \": bool, optional The argument is used to open or close output `email`.\",\n \"to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None,\",\n \"filters. if hasattr(self, 'filters') is False: self.filters = {} for key, value in\",\n \"self.sysinfo = Sysinfo(self) # Initialize header instance when not exists. if hasattr(self, 'header')\",\n \"str The message that must be written. error : bool, optional If record\",\n \": str, optional The type of error according to `rectypes` dictionary. format :\",\n \"logger must have an unique name which will help to identify it. Main\",\n \"alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and\",\n \"maxsize : int or bool, optional The argument is used to define maximum\",\n \"aborted. Parameters ---------- message : str, optional The message that must be written\",\n \"is used to filter info records. The default is True. debug : bool,\",\n \"optional The argument is used to filter critical records. The default is True.\",\n \"are printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish\",\n \"configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension,\",\n \"optional The argument is used to define maximum size of output file. Must\",\n \"The argument is used to filter warning records. error : bool, optional The\",\n \"is True: self.filters[key] = value # Customize limits and parameters of execution behaviour.\",\n \"days that will be logged to same file. The default is 1 which\",\n \"new output file will be opened at each 00:00:00. maxlevel : int or\",\n \"that can be printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None,\",\n \"'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors\",\n \"logging. version : str Version of the application that we are logging. start_date\",\n \"formatting. So if you wish to modify `rectype` form then edit appropriate one\",\n \"default we provide the next few record types: +---------+---------+ | Key | Value\",\n \"Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table:\",\n \"1, CRITICAL = 2). All that higher the break level will interrupt application\",\n \"sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() # Send\",\n \"\\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False,\",\n \"tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True,\",\n \"used to bulid the bound. length : int, optional Lenght of the bound.\",\n \"server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db,\",\n \"in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value,\",\n \"in the instance attribute rectypes. If you wish to use own record type\",\n \"close output `html`. table : bool, optional The argument is used to open\",\n \"line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs\",\n \"# Create formatter in case it is not exists yet or just customize\",\n \"to define maximum size of output file. Must be presented as number of\",\n \"\\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not False: if self.root.file.size is\",\n \"error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send\",\n \"for additional forms (variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True)\",\n \"sys.exit() # Send alarm if execution was not aborted but alarm is needed.\",\n \"Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger.\",\n \"template. info : bool, optional The argument is used to filter info records.\",\n \"own record type or change the presentaion of exeisting one then edit this\",\n \"logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True:\",\n \"\\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an\",\n \"smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None,\",\n \"Create formatter in case it is not exists yet or just customize it.\",\n \"The argument is used to define maximum size of output file. maxdays :\",\n \"it is configured. if self._control is True: if level >= self._maxlevel: sys.exit() if\",\n \"The text that will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string\",\n \"must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in\",\n \"'table': table}.items(): if value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root,\",\n \"Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in\",\n \"record type or change the presentaion of exeisting one then edit this dictinary.\",\n \"html : bool, optional The argument is used to open or close output\",\n \"float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is\",\n \": str, optional The argument is used te define `name` attribute app :\",\n \"def _exit(self): # Inform about the error. if self._alarming is True and self._with_error\",\n \"str The text that will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n'\",\n \"else: for key, value in {'console': console, 'file': file, 'email': email, 'html': html,\",\n \"= traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs)\",\n \"True. critical : bool, optional The argument is used to filter critical records.\",\n \"\\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass\",\n \"\\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property\",\n \"Symbol that is used to bulid the bound. length : int, optional Lenght\",\n \"Logger formatter which sets all formatting configuration like record template, error message template,\",\n \"isinstance(version, (str, int, float)) is True: self.version = version # Build the output\",\n \"The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file.\",\n \"count_errors : int Number of errors that logger catched in the application during\",\n \"to set the `desc` attribute. version : str, optional The argument is used\",\n \".formatter import Formatter from .header import Header from .output import Root from .record\",\n \"is not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize\",\n \"of the application that we are logging. desc : str Description of the\",\n \"'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success':\",\n \"is True. debug : bool, optional The argument is used to filter debug\",\n \"errors. The default is False which means it is disabled. Attributes ---------- name\",\n \"SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self,\",\n \"of the error message. alarming : bool The argument is used to enable\",\n \"output file. Must be presented as number of bytes. The default is 10\",\n \"= maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if\",\n \"message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\"\",\n \"of information. Parameters ---------- div : str, optional Symbol that is used to\",\n \"self._count_errors += 1 format = self.formatter.error if format is None else format #\",\n \"closed and new one must be opened. \\\"\\\"\\\" if self.root.file.status is True: if\",\n \"if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel,\",\n \"is True. control : bool, optional The argument is used to enable or\",\n \"for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like\",\n \"argument is used to open or close output `root`. console : bool, optional\",\n \"error : bool, optional The argument is used to filter error records. The\",\n \"format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main\",\n \"string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with the\",\n \"if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return if self._maxdays\",\n \"Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record type\",\n \"optional The argument is used to filter warning records. error : bool, optional\",\n \"used to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def\",\n \"records. The default is False. warning : bool, optional The argument is used\",\n \"describing the application. self.app = None self.desc = None self.version = None #\",\n \"if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool)\",\n \"self.restart() return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart() return\",\n \"methods as `rectype` argument. Values are used in formatting. So if you wish\",\n \"True. maxsize : int or bool, optional The argument is used to define\",\n \"is used to define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is\",\n \"Send alarm if execution was not aborted but alarm is needed. if alarming\",\n \"warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0,\",\n \"platform import pypyrus_logbook as logbook import sys import time import traceback from .conf\",\n \": str Name of the application that we are logging. desc : str\",\n \"which will help to identify it. Main application logger will have the same\",\n \"write methods as `rectype` argument. Values are used in formatting. So if you\",\n \"format = {'record': format} if hasattr(self, 'formatter') is False: format = {} if\",\n \"argument is used to filter critical records. The default is True. alarming :\",\n \"then edit this dictinary. message : str The message that must be written.\",\n \"= 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging.\",\n \"is used to filter critical records. alarming : bool, optional The argument is\",\n \"\\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output.\",\n \"records. debug : bool, optional The argument is used to filter debug records.\",\n \"self.record(rectype, message, **kwargs) # Break execution in case of critical error if permitted.\",\n \"desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None,\",\n \"methods, items and commands that together gives funcionality for advanced logging in different\",\n \"to open or close output `table`. directory : str, optional The argument is\",\n \"# that must be customized. if isinstance(format, str) is True: format = {'record':\",\n \"set to `False` the exception will be just printed in original Python style.\",\n \"used to enable or disable execution break in case on error. The default\",\n \"few record types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE |\",\n \"console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if value is True:\",\n \"optional Symbol that is used to bulid the bound. length : int, optional\",\n \"parameter of formatter # that must be customized. if isinstance(format, str) is True:\",\n \": int The argument is used to describe the error level. **kwargs The\",\n \"is used to define maximum size of output file. maxdays : int or\",\n \"datetime as dt import os import platform import pypyrus_logbook as logbook import sys\",\n \"Date when logging was started. rectypes : dict All available record types. Keys\",\n \"argument is used to configure DB connection. format : str, optional The argument\",\n \"was an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of\",\n \"argument is used to define the break error level (WARNING = 0, ERRROR\",\n \"error : bool, optional If record is error then set that parameter to\",\n \"pypyrus_logbook.header.Header The header that can be printed to the writable output. \\\"\\\"\\\" def\",\n \"was started. rectypes : dict All available record types. Keys are used in\",\n \"exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance\",\n \"err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message =\",\n \"used to define the break error level (WARNING = 0, ERRROR = 1,\",\n \"= {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0\",\n \"is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays\",\n \"if hasattr(self, 'header') is False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct\",\n \"output file statistics to catch when current file must be closed and new\",\n \"the logger. self._name = name # Attributes describing the application. self.app = None\",\n \"file name. extension : str, optional The argument is used to set logging\",\n \"{} if isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif isinstance(format,\",\n \"wish to modify `rectype` form then edit appropriate one here. If you wish\",\n \"info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is\",\n \"Must be presented as number of bytes. The default is 10 Mb. maxdays\",\n \"edit this dictinary. message : str The message that must be written. error\",\n \"certain call. level : int The argument is used to describe the error\",\n \"pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self):\",\n \"console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None,\",\n \"optional The argument is used to configure SMTP connection. db : dict, optional\",\n \"html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None,\",\n \"hasattr(self, 'header') is False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write\",\n \"be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if\",\n \"types filters. To filter record type just set corresponding item value to False.\",\n \"that shows was an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The\",\n \"import all_loggers from .formatter import Formatter from .header import Header from .output import\",\n \"worked then application will be aborted. Parameters ---------- message : str, optional The\",\n \"is True: self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args, **kwargs):\",\n \"The argument is used to set the `desc` attribute. version : str, optional\",\n \"The default is 10 Mb. maxdays : int or bool, optional The argument\",\n \"bool, optional The argument is used to filter info records. debug : bool,\",\n \"or close output `email`. html : bool, optional The argument is used to\",\n \"then set that parameter to `True`. **kwargs The keyword arguments used for additional\",\n \"error. The default is True. maxsize : int or bool, optional The argument\",\n \"root if it is not exists. In other case modify # existing output\",\n \"optional The argument is used to open or close output `html`. table :\",\n \"message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message,\",\n \"info records. debug : bool, optional The argument is used to filter debug\",\n \"a python script file. It can be accessed by native logbook methods or\",\n \"isinstance(control, bool) is True: self._control = control # Initialize sysinfo instance when not\",\n \"argument is used to filter critical records. alarming : bool, optional The argument\",\n \": bool, optional The argument is used to open or close output `console`.\",\n \"dict, optional The argument is used to configure DB connection. format : str,\",\n \"blocks of information. Parameters ---------- div : str, optional Symbol that is used\",\n \"Customize output file path. path = {} if directory is not None: path['dir']\",\n \"= Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record\",\n \"---------- string : str The text that will be presented as subheader. \\\"\\\"\\\"\",\n \"bool, optional The argument is used to enable or disable alarming mechanism. control\",\n \"argument is used to open or close output `file`. email : bool, optional\",\n \"Parameters ---------- number : int, optional The number of the blank lines that\",\n \"execution break in case on error. The default is True. maxsize : int\",\n \"pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when\",\n \"# Create or customize record type filters. if hasattr(self, 'filters') is False: self.filters\",\n \"and SMTP server is configurated. If one of the limit triggers worked then\",\n \"you wish to use own record type or change the presentaion of exeisting\",\n \"err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code\",\n \"for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML\",\n \"are stored in the instance attribute rectypes. If you wish to use own\",\n \"to open or close output `html`. table : bool, optional The argument is\",\n \"record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format =\",\n \"its attributes. This is an only one right way to customize logger. Parameters\",\n \": str, optional The argument is used to set logging file extension. smtp\",\n \"as number of bytes. The default is 10 Mb. maxdays : int or\",\n \"pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to\",\n \"self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical':\",\n \"is used to open or close output `root`. console : bool, optional The\",\n \"{} if directory is not None: path['dir'] = directory if filename is not\",\n \": bool, optional The argument is used to filter critical records. The default\",\n \"to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self,\",\n \"+= 1 format = self.formatter.error if format is None else format # Parse\",\n \"pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message,\",\n \"types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info\",\n \"self.app = None self.desc = None self.version = None # Some logger important\",\n \"self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype\",\n \"argument is used to set logging file extension. smtp : dict, optional The\",\n \"of the blank lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string)\",\n \"be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass\",\n \"that together gives funcionality for advanced logging in different outputs: console, file, email,\",\n \"to define maximum size of output file. maxdays : int or bool, optional\",\n \"value of appropriate item. with_errors : int The flag shows that logger catched\",\n \"# The alarm will be generated at exit if it is configured. if\",\n \"error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console =\",\n \"Description of the application that we are logging. version : str Version of\",\n \"records format. # When it is dictionary it can contaion any parameter of\",\n \"alarm if alarming attribute is `True`, email output is enabled and SMTP server\",\n \"be accessed by native logbook methods or by calling `getlogger()` method with no\",\n \"logger catched in the application during its execution. filters : dict Record types\",\n \"def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None,\",\n \"optional The type of error according to `rectypes` dictionary. format : str, optional\",\n \"argument is used to filter error records. critical : bool, optional The argument\",\n \"import atexit import datetime as dt import os import platform import pypyrus_logbook as\",\n \"is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value is\",\n \"it is dictionary it can contaion any parameter of formatter # that must\",\n \"The argument is used to define maximun number of errors. The default is\",\n \"self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two\",\n \"logger to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger\",\n \"provide the next few record types: +---------+---------+ | Key | Value | +=========+=========+\",\n \"\\\"\\\"\\\" if isinstance(app, str) is True: self.app = app if isinstance(desc, str) is\",\n \"self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype\",\n \"as upper-case text between two border lines to the output. Parameters ---------- string\",\n \"ERRROR = 1, CRITICAL = 2). All that higher the break level will\",\n \"if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm\",\n \"rectype : str By default method creates the record with the type NONE.\",\n \"def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record : Record\",\n \"warning records. error : bool, optional The argument is used to filter error\",\n \"By default we provide the next few record types: +---------+---------+ | Key |\",\n \"formatter in case it is not exists yet or just customize it. #\",\n \"used to filter warning records. error : bool, optional The argument is used\",\n \"be written. error : bool, optional If record is error then set that\",\n \"enable or disable execution break in case on error. maxsize : int or\",\n \"self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the\",\n \"ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok']\",\n \"= 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file,\",\n \"of the logger. app : str Name of the application that we are\",\n \"---------- message : str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass\",\n \"maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file self.email\",\n \"record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype\",\n \"bool, optional The argument is used to filter debug records. The default is\",\n \"to filter critical records. The default is True. alarming : bool, optional The\",\n \"logging was started. rectypes : dict All available record types. Keys are used\",\n \"If you wish to modify the text of this messages just edit the\",\n \"to set logging file name. extension : str, optional The argument is used\",\n \"it must describe records format. # When it is dictionary it can contaion\",\n \"to same file. maxlevel : int or bool, optional The argument is used\",\n \"\\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send\",\n \"= {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'}\",\n \"aborted but alarm is needed. if alarming is True: self.root.email.alarm() pass def warning(self,\",\n \"debug records. warning : bool, optional The argument is used to filter warning\",\n \"when need to separate different blocks of information. Parameters ---------- div : str,\",\n \"error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None,\",\n \"the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs):\",\n \"`Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The\",\n \"optional The argument is used to enable or disable alarming mechanism. The default\",\n \"this dictinary. message : str The message that must be written. error :\",\n \"record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record : Record The argument\",\n \"elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message\",\n \"is used to enable or disable execution break in case on error. The\",\n \"error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception =\",\n \"bool, optional The argument is used to filter debug records. warning : bool,\",\n \"**kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection\",\n \"bool, optional The argument is used to filter error records. The default is\",\n \"The argument is used to configure DB connection. format : str, optional The\",\n \"is used to open or close output `console`. file : bool, optional The\",\n \"be printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None,\",\n \"python script file. It can be accessed by native logbook methods or by\",\n \"# Build the output root if it is not exists. In other case\",\n \"system specifications, flag arguments, execution parameters, user parameters and environment variables and transforms\",\n \"If exception in current traceback exists then method will format the exception according\",\n \"argument is used to filter debug records. The default is False. warning :\",\n \"message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype =\",\n \"hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status,\",\n \"_exit(self): # Inform about the error. if self._alarming is True and self._with_error is\",\n \"critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger.\",\n \"app : str, optional The argument is used to set the `app` attribute.\",\n \"that we are logging. version : str Version of the application that we\",\n \"descriptors. Each logger must have an unique name which will help to identify\",\n \"close output `table`. directory : str, optional The argument is used to set\",\n \"all its attributes. This is an only one right way to customize logger.\",\n \"exists. In other case modify # existing output if it is requested. if\",\n \"message is None and err_type is not None: if isinstance(format, str) is True:\",\n \"The argument is used to filter critical records. The default is True. alarming\",\n \"format of the error message. alarming : bool The argument is used to\",\n \"output file path. path = {} if directory is not None: path['dir'] =\",\n \"to filter warning records. error : bool, optional The argument is used to\",\n \"be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table.\",\n \"= self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table # Set\",\n \": bool, optional The argument is used to open or close output `root`.\",\n \"Attributes ---------- name : str Name of the logger. app : str Name\",\n \"argument is used to set logging file name. extension : str, optional The\",\n \"it can contaion any parameter of formatter # that must be customized. if\",\n \"pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted according to\",\n \"yet or just customize it. # Parameter format can be either string or\",\n \"upper-case text between two border lines to the output. Parameters ---------- string :\",\n \"True: self._alarming = alarming if isinstance(control, bool) is True: self._control = control #\",\n \"template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different\",\n \"will have the same name as a python script file. It can be\",\n \"class represents a single logger. Logger by it self is a complex set\",\n \"str, optional The argument is used to set the `desc` attribute. version :\",\n \"maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool) is\",\n \"original Python style. Also method will send an alarm if alarming attribute is\",\n \"format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): #\",\n \"\\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number : int, optional The\",\n \"self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self,\",\n \"file must be closed and new one must be opened. \\\"\\\"\\\" if self.root.file.status\",\n \"# Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool))\",\n \"**kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection must be configured. \\\"\\\"\\\"\",\n \"if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is\",\n \"table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None,\",\n \"error records. critical : bool, optional The argument is used to filter critical\",\n \"True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the\",\n \"record to the output. If exception in current traceback exists then method will\",\n \"argument. Values are used in formatting. So if you wish to modify `rectype`\",\n \"`True`. **kwargs The keyword arguments used for additional forms (variables) for record and\",\n \"default is 1 which means that new output file will be opened at\",\n \"self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype =\",\n \"True self._count_errors += 1 format = self.formatter.error if format is None else format\",\n \"error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype : str By\",\n \"level (WARNING = 0, ERRROR = 1, CRITICAL = 2). All that higher\",\n \"format. # When it is dictionary it can contaion any parameter of formatter\",\n \"lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self,\",\n \"raw text with the new line to the output. Parameters ---------- message :\",\n \"needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING\",\n \"Parameters ---------- message : str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n')\",\n \"def restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if\",\n \"not exists. if hasattr(self, 'header') is False: self.header = Header(self) pass def write(self,\",\n \"or bool, optional The argument is used to define maximum number of days\",\n \"to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False,\",\n \"output. Parameters ---------- number : int, optional The number of the blank lines\",\n \"self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize\",\n \"that must be written instead of exception. rectype : str, optional The type\",\n \"of the application that we are logging. version : str Version of the\",\n \"advanced logging in different outputs: console, file, email, database table, HTML document -\",\n \"configure SMTP connection. db : dict, optional The argument is used to configure\",\n \"error level (WARNING = 0, ERRROR = 1, CRITICAL = 2). All that\",\n \"Number of errors that logger catched in the application during its execution. filters\",\n \"filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize,\",\n \": bool, optional The argument is used to filter error records. critical :\",\n \"optional The argument is used to set the `version` attribute. status : bool,\",\n \"which parse different inputs includeing system specifications, flag arguments, execution parameters, user parameters\",\n \"{} for key, value in {'info': info, 'debug': debug, 'error': error, 'warning': warning,\",\n \"be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO\",\n \"string or dictionary. # When it is string then it must describe records\",\n \"extension. smtp : dict, optional The argument is used to configure SMTP connection.\",\n \"maximum size of output file. Must be presented as number of bytes. The\",\n \"to use own record type or change the presentaion of exeisting one then\",\n \"The argument is used to set logging file folder. filename : str, optional\",\n \"logging. desc : str Description of the application that we are logging. version\",\n \"def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning',\",\n \"object data can be easily accessed by get item operation or by point\",\n \"is disabled. Attributes ---------- name : str Name of the logger. app :\",\n \"self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return\",\n \"+---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that are printed with\",\n \"set the `app` attribute. desc : str, optional The argument is used to\",\n \"import sys import time import traceback from .conf import all_loggers from .formatter import\",\n \"filter critical records. The default is True. alarming : bool, optional The argument\",\n \"Formatter from .header import Header from .output import Root from .record import Record\",\n \"True. error : bool, optional The argument is used to filter error records.\",\n \"(int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float,\",\n \"SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if\",\n \"to open or close output `root`. console : bool, optional The argument is\",\n \"'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize output file\",\n \"different blocks of information. Parameters ---------- div : str, optional Symbol that is\",\n \"dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when current\",\n \"The argument is used to open or close output `console`. file : bool,\",\n \"self.formatter = Formatter(**format) elif isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize\",\n \"'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error =\",\n \"record types. All registered record types are stored in the instance attribute rectypes.\",\n \": bool The argument is used to enable or disable the alarming mechanism\",\n \"records. The default is True. alarming : bool, optional The argument is used\",\n \"The type of error according to `rectypes` dictionary. format : str, optional The\",\n \"Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo =\",\n \"that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform\",\n \"some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish to modify the\",\n \"define the break error level (WARNING = 0, ERRROR = 1, CRITICAL =\",\n \"\\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error, **kwargs)\",\n \"extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1,\",\n \"to enable or disable the alarming mechanism for this certain call. level :\",\n \"'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete the initial configuration.\",\n \"it is not exists. In other case modify # existing output if it\",\n \"= self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property\",\n \"---------- name : str, optional The argument is used te define `name` attribute\",\n \"is None else format # Parse the error. err_type, err_value, err_tb = sys.exc_info()\",\n \"the application during its execution. filters : dict Record types filters. To filter\",\n \"bool The argument is used to enable or disable the alarming mechanism for\",\n \"+---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+\",\n \"(int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool))\",\n \"in original Python style. Also method will send an alarm if alarming attribute\",\n \"to False. root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The\",\n \"= 1, CRITICAL = 2). All that higher the break level will interrupt\",\n \"you wish to modify the text of this messages just edit the value\",\n \"name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def\",\n \"**kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n'\",\n \"attribute. version : str, optional The argument is used to set the `version`\",\n \"self.root = Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp,\",\n \"None and err_type is not None: if isinstance(format, str) is True: err_name =\",\n \"error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output.\",\n \"if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int,\",\n \"is used te define `name` attribute app : str, optional The argument is\",\n \"> self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day:\",\n \"isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value for tb in\",\n \": bool, optional The argument is used to filter info records. The default\",\n \"\\\"\\\"\\\" self._with_error = True self._count_errors += 1 format = self.formatter.error if format is\",\n \"connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case it\",\n \"is True. maxsize : int or bool, optional The argument is used to\",\n \"float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is\",\n \"then it must describe records format. # When it is dictionary it can\",\n \"output file will be opened at each 00:00:00. maxlevel : int or bool,\",\n \"pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info'\",\n \"means that new output file will be opened at each 00:00:00. maxlevel :\",\n \"not None: path['name'] = filename if extension is not None: path['ext'] = extension\",\n \"The argument is used to enable or disable execution break in case on\",\n \"traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name\",\n \"console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File\",\n \"= message or '' self.record(rectype, message, **kwargs) # Break execution in case of\",\n \"path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if\",\n \"we provide the next few record types: +---------+---------+ | Key | Value |\",\n \"can be printed to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None,\",\n \"os import platform import pypyrus_logbook as logbook import sys import time import traceback\",\n \"file. maxdays : int or bool, optional The argument is used to define\",\n \"format} if hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict) is\",\n \"will be logged to same file. maxlevel : int or bool, optional The\",\n \"or bool, optional The argument is used to define maximun number of errors.\",\n \"\\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def\",\n \"write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record : Record The\",\n \"'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error\",\n \"message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format = self.formatter.error if\",\n \"self.formatter.error if format is None else format # Parse the error. err_type, err_value,\",\n \"limits and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True:\",\n \"The argument is used to set logging file extension. smtp : dict, optional\",\n \"**kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record\",\n \"is a complex set of methods, items and commands that together gives funcionality\",\n \"date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an error or\",\n \"self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day ==\",\n \"case it is not exists yet or just customize it. # Parameter format\",\n \"self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day == dt.datetime.now().day: self.restart()\",\n \"output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send\",\n \"control # Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False:\",\n \"maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name = name\",\n \"The default is True. critical : bool, optional The argument is used to\",\n \"\\\"\\\"\\\"Send ERROR record to the output. If exception in current traceback exists then\",\n \"fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail']\",\n \"message that must be written instead of exception. rectype : str, optional The\",\n \"info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique\",\n \"format = {} if isinstance(format, dict) is False else format self.formatter = Formatter(**format)\",\n \"file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning,\",\n \"'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok':\",\n \"to the output. Parameters ---------- string : str The text that will be\",\n \"be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass\",\n \"argument is used to enable or disable alarming mechanism. control : bool, optional\",\n \"it is not exists yet or just customize it. # Parameter format can\",\n \"that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self,\",\n \"is not False: if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart()\",\n \"optional The argument is used to set the `desc` attribute. version : str,\",\n \"critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2,\",\n \"| +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that are printed\",\n \"2). All that higher the break level will interrupt application execution. The default\",\n \"to `True`. **kwargs The keyword arguments used for additional forms (variables) for record\",\n \"argument is used te define `name` attribute app : str, optional The argument\",\n \"subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message):\",\n \"'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value #\",\n \"record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs):\",\n \"`formatter.error` is set to `False` the exception will be just printed in original\",\n \"is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors\",\n \"will help to identify it. Main application logger will have the same name\",\n \"set logging file extension. smtp : dict, optional The argument is used to\",\n \"if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file, email=email, html=html, table=table,\",\n \"err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line =\",\n \"exeisting one then edit this dictinary. message : str The message that must\",\n \"return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\"\",\n \"= 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1,\",\n \"the text of this messages just edit the value of appropriate item. with_errors\",\n \"The argument is used to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats()\",\n \"= tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message,\",\n \"filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console, 'file': file,\",\n \"the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error',\",\n \"either string or dictionary. # When it is string then it must describe\",\n \"exit if it is configured. if self._control is True: if level >= self._maxlevel:\",\n \"message : str The message that must be written. error : bool, optional\",\n \"rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to\",\n \"like `ok()`, `success()`, `fail()`. If you wish to modify the text of this\",\n \"application during its execution. filters : dict Record types filters. To filter record\",\n \"if self.root.file.size > self._maxsize: self.restart() return if self._maxdays is not False: if self.__restart_date.day\",\n \"The argument is used to filter warning records. The default is True. error\",\n \"file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is\",\n \"and commands that together gives funcionality for advanced logging in different outputs: console,\",\n \"---------- app : str, optional The argument is used to set the `app`\",\n \"define maximum number of days that will be logged to same file. The\",\n \"open or close output `table`. directory : str, optional The argument is used\",\n \"self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag\",\n \"1. maxerrors : int or bool, optional The argument is used to define\",\n \"file folder. filename : str, optional The argument is used to set logging\",\n \"use own record type or change the presentaion of exeisting one then edit\",\n \"for key, value in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical':\",\n \": str, optional The argument is used to set record template. info :\",\n \"will send an alarm if alarming attribute is `True`, email output is enabled\",\n \"head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self,\",\n \"**kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype,\",\n \"The argument is used to set record template. info : bool, optional The\",\n \"filename : str, optional The argument is used to set logging file name.\",\n \"int or bool, optional The argument is used to define maximum size of\",\n \"object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file :\",\n \"can be changed but depends on available record types. All registered record types\",\n \"if hasattr(self, 'formatter') is False: format = {} if isinstance(format, dict) is False\",\n \"str, optional The format of the error message. alarming : bool The argument\",\n \"err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value,\",\n \"be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not False: if\",\n \"= tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj,\",\n \"opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize is not False: if self.root.file.size\",\n \"= self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with\",\n \"must describe records format. # When it is dictionary it can contaion any\",\n \"object. Through the `Dataset` object data can be easily accessed by get item\",\n \"filter critical records. alarming : bool, optional The argument is used to enable\",\n \"types are stored in the instance attribute rectypes. If you wish to use\",\n \"import datetime as dt import os import platform import pypyrus_logbook as logbook import\",\n \"int The flag shows that logger catched errors in the application during its\",\n \"to `rectypes` dictionary. format : str, optional The format of the error message.\",\n \"if self.header.used is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message.\",\n \"extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays,\",\n \"str By default method creates the record with the type NONE. That can\",\n \"record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message,\",\n \"wish to modify the text of this messages just edit the value of\",\n \"def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message =\",\n \"arguments and systems descriptors. Each logger must have an unique name which will\",\n \"\\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that\",\n \"<filename>pypyrus_logbook/logger.py<gh_stars>0 import atexit import datetime as dt import os import platform import pypyrus_logbook\",\n \"enable or disable alarming mechanism. The default is True. control : bool, optional\",\n \"or disable execution break in case on error. maxsize : int or bool,\",\n \"def line(self, message): \\\"\\\"\\\"Send raw text with the new line to the output.\",\n \"enable or disable alarming mechanism. control : bool, optional The argument is used\",\n \"True: self.version = version # Build the output root if it is not\",\n \"connection. format : str, optional The argument is used to set record template.\",\n \"optional The argument is used to enable or disable alarming mechanism. control :\",\n \"disable execution break in case on error. maxsize : int or bool, optional\",\n \"# Attributes describing the application. self.app = None self.desc = None self.version =\",\n \"will format the exception according to `formatter.error` string presentation. If `formatter.error` is set\",\n \"Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table,\",\n \"if it is requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console,\",\n \"when logger must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date\",\n \"= sys.exc_info() if message is None and err_type is not None: if isinstance(format,\",\n \"self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False:\",\n \": int or bool, optional The argument is used to define maximun number\",\n \"is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to\",\n \"alarming attribute is `True`, email output is enabled and SMTP server is configurated.\",\n \"self._with_error = True self._count_errors += 1 format = self.formatter.error if format is None\",\n \"of output file. maxdays : int or bool, optional The argument is used\",\n \"define the break error level. maxerrors : int or bool, optional The argument\",\n \"native logbook methods or by calling `getlogger()` method with no name. Parameters ----------\",\n \"is True: format = {'record': format} if hasattr(self, 'formatter') is False: format =\",\n \"logger. Logger by it self is a complex set of methods, items and\",\n \"send an alarm if alarming attribute is `True`, email output is enabled and\",\n \"from .formatter import Formatter from .header import Header from .output import Root from\",\n \"err_type is not None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value\",\n \": bool, optional The argument is used to filter warning records. The default\",\n \"(str, int, float)) is True: self.version = version # Build the output root\",\n \"Parse the error. err_type, err_value, err_tb = sys.exc_info() if message is None and\",\n \"self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\"\",\n \"Header from .output import Root from .record import Record from .sysinfo import Sysinfo\",\n \"form then edit appropriate one here. If you wish to use own record\",\n \"name : str, optional The argument is used te define `name` attribute app\",\n \"used to set logging file name. extension : str, optional The argument is\",\n \"OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self,\",\n \"traceback from .conf import all_loggers from .formatter import Formatter from .header import Header\",\n \"record : Record The argument is used to send it to the output\",\n \"to define the break error level (WARNING = 0, ERRROR = 1, CRITICAL\",\n \"to set record template. info : bool, optional The argument is used to\",\n \"is True. error : bool, optional The argument is used to filter error\",\n \"record types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE | +---------+---------+\",\n \"self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create\",\n \"with no name. Parameters ---------- name : str, optional The argument is used\",\n \"INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self,\",\n \"'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value # Customize limits\",\n \"be generated at exit if it is configured. if self._control is True: if\",\n \"to customize logger. Parameters are the same as for creatrion. Parameters ---------- app\",\n \"records. alarming : bool, optional The argument is used to enable or disable\",\n \"server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update\",\n \"configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if self._alarming\",\n \"available record types. All registered record types are stored in the instance attribute\",\n \"of this messages just edit the value of appropriate item. with_errors : int\",\n \"`Dataset` object data can be easily accessed by get item operation or by\",\n \"'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete\",\n \"diffrent inputs: user messages, traceback, frames, user parameters, execution arguments and systems descriptors.\",\n \"info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output\",\n \"error according to `rectypes` dictionary. format : str, optional The format of the\",\n \"filter error records. The default is True. critical : bool, optional The argument\",\n \"the `Dataset` object data can be easily accessed by get item operation or\",\n \"to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs):\",\n \"is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be\",\n \"The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None):\",\n \"output file. maxdays : int or bool, optional The argument is used to\",\n \"# Send alarm if execution was not aborted but alarm is needed. if\",\n \": pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record template, error\",\n \"by get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header :\",\n \"def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None,\",\n \"records. critical : bool, optional The argument is used to filter critical records.\",\n \"dict) is True: self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self,\",\n \"'\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype =\",\n \"be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in\",\n \"is False: self.sysinfo = Sysinfo(self) # Initialize header instance when not exists. if\",\n \"self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server\",\n \"that logger catched errors in the application during its execution. count_errors : int\",\n \">= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit()\",\n \"to the output. Parameters ---------- record : Record The argument is used to\",\n \"subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two border lines to the\",\n \"parameters, user parameters and environment variables and transforms all of that to `Dataset`\",\n \": pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The\",\n \"'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance when not exists.\",\n \"email, database table, HTML document - and using information from diffrent inputs: user\",\n \"+---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+\",\n \"If `formatter.error` is set to `False` the exception will be just printed in\",\n \"next few record types: +---------+---------+ | Key | Value | +=========+=========+ |none |NONE\",\n \"len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True:\",\n \"an only one right way to customize logger. Parameters are the same as\",\n \"and environment variables and transforms all of that to `Dataset` object. Through the\",\n \"dict Record types filters. To filter record type just set corresponding item value\",\n \"filter debug records. warning : bool, optional The argument is used to filter\",\n \"add it to that dictinary. By default we provide the next few record\",\n \"be changed but depends on available record types. All registered record types are\",\n \"on error. The default is True. maxsize : int or bool, optional The\",\n \"(variables) for record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1\",\n \"'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to\",\n \"Parameters ---------- div : str, optional Symbol that is used to bulid the\",\n \"email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None,\",\n \"catched in the application during its execution. filters : dict Record types filters.\",\n \"'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO\",\n \"horizontal border in the output. Useful when need to separate different blocks of\",\n \"is used to filter critical records. The default is True. alarming : bool,\",\n \"1 which means that new output file will be opened at each 00:00:00.\",\n \"at each 00:00:00. maxlevel : int or bool, optional The argument is used\",\n \"err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif\",\n \"for creatrion. Parameters ---------- app : str, optional The argument is used to\",\n \"rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs):\",\n \"format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message +=\",\n \"a single logger. Logger by it self is a complex set of methods,\",\n \"False: getattr(self.root, key).close() # Customize output file path. path = {} if directory\",\n \"by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can\",\n \"output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for\",\n \"directory if filename is not None: path['name'] = filename if extension is not\",\n \"the application. self.app = None self.desc = None self.version = None # Some\",\n \"\\\"\\\"\\\"Calculate the date when logger must be restarted according to maxdays parameter. \\\"\\\"\\\"\",\n \"used to open or close output `root`. console : bool, optional The argument\",\n \"connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the\",\n \"self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output.\",\n \"type just set corresponding item value to False. root : pypyrus_logbook.output.Root The output\",\n \"table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming,\",\n \"rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception\",\n \"|DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL\",\n \"error. maxsize : int or bool, optional The argument is used to define\",\n \"frames, user parameters, execution arguments and systems descriptors. Each logger must have an\",\n \"bool) is True: self.filters[key] = value # Customize limits and parameters of execution\",\n \"generated at exit if it is configured. if self._control is True: if level\",\n \"execution arguments and systems descriptors. Each logger must have an unique name which\",\n \"False: if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return if\",\n \"is error then set that parameter to `True`. **kwargs The keyword arguments used\",\n \"pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number\",\n \"same file. The default is 1 which means that new output file will\",\n \"if self.root.file.status is True: if self._maxsize is not False: if self.root.file.size is not\",\n \"to enable or disable alarming mechanism. control : bool, optional The argument is\",\n \"is used to configure DB connection. format : str, optional The argument is\",\n \"getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize output file path.\",\n \"@property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None,\",\n \"The argument is used te define `name` attribute app : str, optional The\",\n \"started. rectypes : dict All available record types. Keys are used in `Logger`\",\n \"additional forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors\",\n \"def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection must be\",\n \"connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values\",\n \"True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if\",\n \"existing output if it is requested. if hasattr(self, 'root') is False: self.root =\",\n \"default is True. maxsize : int or bool, optional The argument is used\",\n \"import Root from .record import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This\",\n \"Parameters ---------- name : str, optional The argument is used te define `name`\",\n \"we are logging. desc : str Description of the application that we are\",\n \"---------- number : int, optional The number of the blank lines that must\",\n \"directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None,\",\n \"optional The argument is used to open or close output `table`. directory :\",\n \"blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number : int,\",\n \"\\\"\\\"\\\"Send email message. Note that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args,\",\n \"folder. filename : str, optional The argument is used to set logging file\",\n \": str, optional Symbol that is used to bulid the bound. length :\",\n \"set corresponding item value to False. root : pypyrus_logbook.output.Root The output `Root` object.\",\n \"'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 # Complete the\",\n \"if extension is not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path)\",\n \"'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open() if key ==\",\n \"of errors. The default is False which means it is disabled. Attributes ----------\",\n \"output `file`. email : bool, optional The argument is used to open or\",\n \"self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True: self._maxerrors = maxerrors\",\n \"on available record types. All registered record types are stored in the instance\",\n \": pypyrus_logbook.header.Header The header that can be printed to the writable output. \\\"\\\"\\\"\",\n \"> 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp)\",\n \"format : str, optional The format of the error message. alarming : bool\",\n \"When it is string then it must describe records format. # When it\",\n \"outputs: console, file, email, database table, HTML document - and using information from\",\n \"key, value in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items():\",\n \"'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs):\",\n \"True: self.filters[key] = value # Customize limits and parameters of execution behaviour. if\",\n \"self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args,\",\n \"was not aborted but alarm is needed. if alarming is True: self.root.email.alarm() pass\",\n \"the error message. alarming : bool The argument is used to enable or\",\n \"tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj\",\n \"level. maxerrors : int or bool, optional The argument is used to define\",\n \"describe records format. # When it is dictionary it can contaion any parameter\",\n \"shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html\",\n \"Mb. maxdays : int or bool, optional The argument is used to define\",\n \"method will format the exception according to `formatter.error` string presentation. If `formatter.error` is\",\n \"message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs)\",\n \"\\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string):\",\n \"if self._alarming is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self): \\\"\\\"\\\"Calculate\",\n \"alarm will be generated at exit if it is configured. if self._control is\",\n \"configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None,\",\n \"about the error. if self._alarming is True and self._with_error is True: self.root.email.alarm() pass\",\n \"Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self):\",\n \"# When it is string then it must describe records format. # When\",\n \"document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter\",\n \"filter warning records. The default is True. error : bool, optional The argument\",\n \"the break error level (WARNING = 0, ERRROR = 1, CRITICAL = 2).\",\n \"file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The\",\n \"\\\"\\\"\\\"Main method to configure the logger and all its attributes. This is an\",\n \"customize logger. Parameters are the same as for creatrion. Parameters ---------- app :\",\n \"as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self,\",\n \"that we are logging. start_date : datetime.datetime Date when logging was started. rectypes\",\n \"\\\"\\\"\\\"Direct write to the output. Parameters ---------- record : Record The argument is\",\n \"`Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The\",\n \"not exists. In other case modify # existing output if it is requested.\",\n \"will be logged to same file. The default is 1 which means that\",\n \"or just customize it. # Parameter format can be either string or dictionary.\",\n \"def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection must\",\n \"default is 10 Mb. maxdays : int or bool, optional The argument is\",\n \"is True: if self._maxsize is not False: if self.root.file.size is not None: if\",\n \"{'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False self._count_errors = 0 #\",\n \"if permitted. # The alarm will be generated at exit if it is\",\n \"records. error : bool, optional The argument is used to filter error records.\",\n \"if isinstance(format, str) is True: format = {'record': format} if hasattr(self, 'formatter') is\",\n \"= 'info' self.record(rectype, message, **kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record\",\n \"isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case it is not\",\n \"dt import os import platform import pypyrus_logbook as logbook import sys import time\",\n \"\\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with\",\n \"values in table. Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass\",\n \"email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output\",\n \"The default is True. error : bool, optional The argument is used to\",\n \"with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass def\",\n \"critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger\",\n \"message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to\",\n \"Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection.\",\n \"debug records. The default is False. warning : bool, optional The argument is\",\n \"Python style. Also method will send an alarm if alarming attribute is `True`,\",\n \"not None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value\",\n \"to configure the logger and all its attributes. This is an only one\",\n \"sysinfo instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self)\",\n \"catched errors in the application during its execution. count_errors : int Number of\",\n \"level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the\",\n \"\\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message,\",\n \"for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email :\",\n \"str, optional Symbol that is used to bulid the bound. length : int,\",\n \"to catch when current file must be closed and new one must be\",\n \"`name` attribute app : str, optional The argument is used to set the\",\n \"| +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING |\",\n \"and err_type is not None: if isinstance(format, str) is True: err_name = err_type.__name__\",\n \"def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical',\",\n \"the output file statistics to catch when current file must be closed and\",\n \"when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize\",\n \"we are logging. start_date : datetime.datetime Date when logging was started. rectypes :\",\n \"used to filter critical records. The default is True. alarming : bool, optional\",\n \"with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\" return self._with_error @property def\",\n \"import Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by it\",\n \"can be easily accessed by get item operation or by point like `sysinfo.desc['hostname']`\",\n \"to use own record types then just add it to that dictinary. By\",\n \"of methods, items and commands that together gives funcionality for advanced logging in\",\n \"|debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical\",\n \"output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None,\",\n \"> self._maxerrors: sys.exit() # Send alarm if execution was not aborted but alarm\",\n \": dict, optional The argument is used to configure SMTP connection. db :\",\n \": bool, optional The argument is used to filter error records. The default\",\n \"to `False` the exception will be just printed in original Python style. Also\",\n \"configurated. If one of the limit triggers worked then application will be aborted.\",\n \"err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message\",\n \"if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error\",\n \"record template. info : bool, optional The argument is used to filter info\",\n \"logger catched errors in the application during its execution. count_errors : int Number\",\n \"output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for\",\n \"debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to\",\n \"optional The argument is used to filter error records. The default is True.\",\n \"must be customized. if isinstance(format, str) is True: format = {'record': format} if\",\n \"of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize\",\n \"argument is used to open or close output `table`. directory : str, optional\",\n \"application that we are logging. version : str Version of the application that\",\n \"and parameters of execution behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize\",\n \"error records. The default is True. critical : bool, optional The argument is\",\n \"to separate different blocks of information. Parameters ---------- div : str, optional Symbol\",\n \"used to enable or disable the alarming mechanism for this certain call. level\",\n \"records. The default is True. critical : bool, optional The argument is used\",\n \"maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all its attributes.\",\n \"variables and transforms all of that to `Dataset` object. Through the `Dataset` object\",\n \"creatrion. Parameters ---------- app : str, optional The argument is used to set\",\n \"to define maximun number of errors. The default is False which means it\",\n \"|WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages :\",\n \"''.join(exception) self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype, message, **kwargs)\",\n \"formatter # that must be customized. if isinstance(format, str) is True: format =\",\n \"value # Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int, float,\",\n \"sys import time import traceback from .conf import all_loggers from .formatter import Formatter\",\n \"just customize it. # Parameter format can be either string or dictionary. #\",\n \"console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info, debug=debug,\",\n \"app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None,\",\n \"error then set that parameter to `True`. **kwargs The keyword arguments used for\",\n \"document - and using information from diffrent inputs: user messages, traceback, frames, user\",\n \"The argument is used to define the break error level. maxerrors : int\",\n \": bool, optional The argument is used to enable or disable alarming mechanism.\",\n \"= self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add creating\",\n \"debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts.\",\n \"bool, optional The argument is used to open or close output `file`. email\",\n \"pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message\",\n \"self.root.file self.email = self.root.email self.html = self.root.html self.table = self.root.table # Set exit\",\n \"Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO\",\n \"info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None, maxdays=None, maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method\",\n \"str) is True: err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb):\",\n \"or close output `table`. directory : str, optional The argument is used to\",\n \"in the application during its execution. count_errors : int Number of errors that\",\n \"error if permitted. # The alarm will be generated at exit if it\",\n \"record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header\",\n \"= self.root.console self.file = self.root.file self.email = self.root.email self.html = self.root.html self.table =\",\n \".conf import all_loggers from .formatter import Formatter from .header import Header from .output\",\n \"`Dataset` object. Through the `Dataset` object data can be easily accessed by get\",\n \"with the type NONE. That can be changed but depends on available record\",\n \"creates the record with the type NONE. That can be changed but depends\",\n \": bool, optional The argument is used to open or close output `file`.\",\n \"+---------+---------+ | Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO\",\n \"record type just set corresponding item value to False. root : pypyrus_logbook.output.Root The\",\n \"to enable or disable execution break in case on error. maxsize : int\",\n \"if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict)\",\n \"critical error if permitted. # The alarm will be generated at exit if\",\n \"= False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version,\",\n \"pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message\",\n \"maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if\",\n \"app : str Name of the application that we are logging. desc :\",\n \"The flag shows that logger catched errors in the application during its execution.\",\n \"of errors that logger catched in the application during its execution. filters :\",\n \"initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename,\",\n \"change the presentaion of exeisting one then edit this dictinary. message : str\",\n \"to filter warning records. The default is True. error : bool, optional The\",\n \"False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype,\",\n \"be customized. if isinstance(format, str) is True: format = {'record': format} if hasattr(self,\",\n \"one here. If you wish to use own record types then just add\",\n \"desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db,\",\n \"maxlevel=None, maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all its attributes. This\",\n \"are logging. desc : str Description of the application that we are logging.\",\n \"pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass\",\n \"number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None,\",\n \"the application that we are logging. version : str Version of the application\",\n \"disable alarming mechanism. The default is True. control : bool, optional The argument\",\n \"written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the\",\n \"file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`.\",\n \": int or bool, optional The argument is used to define maximum number\",\n \"if isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str, int, float))\",\n \"during its execution. count_errors : int Number of errors that logger catched in\",\n \"name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None,\",\n \"used to enable or disable alarming mechanism. The default is True. control :\",\n \"pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection\",\n \"close output `root`. console : bool, optional The argument is used to open\",\n \"to `Dataset` object. Through the `Dataset` object data can be easily accessed by\",\n \"output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False,\",\n \".output import Root from .record import Record from .sysinfo import Sysinfo class Logger():\",\n \"optional The argument is used to filter debug records. The default is False.\",\n \"@property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that\",\n \"must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error.\",\n \"is used to open or close output `email`. html : bool, optional The\",\n \"`getlogger()` method with no name. Parameters ---------- name : str, optional The argument\",\n \"optional The argument is used to set logging file extension. smtp : dict,\",\n \"not aborted but alarm is needed. if alarming is True: self.root.email.alarm() pass def\",\n \"the output. Parameters ---------- string : str The text that will be presented\",\n \"optional The argument is used to define maximun number of errors. The default\",\n \"attribute is `True`, email output is enabled and SMTP server is configurated. If\",\n \"is not None: path['dir'] = directory if filename is not None: path['name'] =\",\n \"record types then just add it to that dictinary. By default we provide\",\n \"If you wish to use own record types then just add it to\",\n \"define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app =\",\n \"logger. Parameters are the same as for creatrion. Parameters ---------- app : str,\",\n \"it. # Parameter format can be either string or dictionary. # When it\",\n \"dictionary. # When it is string then it must describe records format. #\",\n \"SMTP connection. db : dict, optional The argument is used to configure DB\",\n \"file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key,\",\n \"filename=None, extension=None, smtp=None, db=None, format=None, info=None, debug=None, warning=None, error=None, critical=None, alarming=None, control=None, maxsize=None,\",\n \"to the writable output. \\\"\\\"\\\" def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True,\",\n \"used to define maximun number of errors. \\\"\\\"\\\" if isinstance(app, str) is True:\",\n \"forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error = True self._count_errors +=\",\n \"The argument is used to open or close output `file`. email : bool,\",\n \"hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance when not\",\n \"str) is True: self.app = app if isinstance(desc, str) is True: self.desc =\",\n \"self.root.table.write(**kwargs) pass def _exit(self): # Inform about the error. if self._alarming is True\",\n \"`sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed to the writable\",\n \"Initialize header instance when not exists. if hasattr(self, 'header') is False: self.header =\",\n \"number of bytes. The default is 10 Mb. maxdays : int or bool,\",\n \"optional The number of the blank lines that must be written. \\\"\\\"\\\" string\",\n \"is used to define maximum number of days that will be logged to\",\n \"records. warning : bool, optional The argument is used to filter warning records.\",\n \"line to the output. Parameters ---------- message : str The message that must\",\n \"filter debug records. The default is False. warning : bool, optional The argument\",\n \"one then edit this dictinary. message : str The message that must be\",\n \"message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will open\",\n \"**kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string)\",\n \"be logged to same file. maxlevel : int or bool, optional The argument\",\n \"Values are used in formatting. So if you wish to modify `rectype` form\",\n \"set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection must be configured.\",\n \"is not exists yet or just customize it. # Parameter format can be\",\n \"used for additional forms (variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype,\",\n \"to open or close output `file`. email : bool, optional The argument is\",\n \"file. It can be accessed by native logbook methods or by calling `getlogger()`\",\n \"div : str, optional Symbol that is used to bulid the bound. length\",\n \"pass def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record :\",\n \"tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs)\",\n \"the break error level. maxerrors : int or bool, optional The argument is\",\n \"Logger by it self is a complex set of methods, items and commands\",\n \"The argument is used to filter info records. debug : bool, optional The\",\n \"is used to define the break error level (WARNING = 0, ERRROR =\",\n \"need to separate different blocks of information. Parameters ---------- div : str, optional\",\n \"'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def restart(self): \\\"\\\"\\\"Restart logging. Will\",\n \"= alarming if isinstance(control, bool) is True: self._control = control # Initialize sysinfo\",\n \"**kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs)\",\n \"if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was not aborted\",\n \"message with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass\",\n \"bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float, bool)) is True:\",\n \"Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the output. Parameters ---------- record\",\n \"like record template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special\",\n \"format is None else format # Parse the error. err_type, err_value, err_tb =\",\n \"class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by it self is\",\n \"that are printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If you\",\n \"int, float)) is True: self.version = version # Build the output root if\",\n \"= {} if directory is not None: path['dir'] = directory if filename is\",\n \"= None self.desc = None self.version = None # Some logger important attributes\",\n \"bool, optional The argument is used to define maximum number of days that\",\n \"gives funcionality for advanced logging in different outputs: console, file, email, database table,\",\n \"exception according to `formatter.error` string presentation. If `formatter.error` is set to `False` the\",\n \"error. if self._alarming is True and self._with_error is True: self.root.email.alarm() pass def __calculate_restart_date(self):\",\n \"optional The argument is used to define maximum number of days that will\",\n \"wish to use own record types then just add it to that dictinary.\",\n \"if isinstance(control, bool) is True: self._control = control # Initialize sysinfo instance when\",\n \"debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key]\",\n \"message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self, rectype, message,\",\n \"must be written instead of exception. rectype : str, optional The type of\",\n \"type NONE. That can be changed but depends on available record types. All\",\n \"of errors. \\\"\\\"\\\" if isinstance(app, str) is True: self.app = app if isinstance(desc,\",\n \"# Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info':\",\n \"isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str, int, float)) is\",\n \"desc : str, optional The argument is used to set the `desc` attribute.\",\n \"for additional forms (variables) for record and message formatting. \\\"\\\"\\\" self._with_error = True\",\n \"(int, float, bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True:\",\n \"The argument is used to enable or disable the alarming mechanism for this\",\n \"instance when not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) #\",\n \"---------- name : str Name of the logger. app : str Name of\",\n \"output `html`. table : bool, optional The argument is used to open or\",\n \"{'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool)\",\n \"When it is dictionary it can contaion any parameter of formatter # that\",\n \"Note that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass def\",\n \"'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'} self._with_error = False\",\n \"is used to open or close output `file`. email : bool, optional The\",\n \"formatting configuration like record template, error message template, line length etc. sysinfo :\",\n \"to open or close output `console`. file : bool, optional The argument is\",\n \"any parameter of formatter # that must be customized. if isinstance(format, str) is\",\n \"to set the `app` attribute. desc : str, optional The argument is used\",\n \"Output shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email self.html =\",\n \"alarming mechanism. The default is True. control : bool, optional The argument is\",\n \"of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None,\",\n \"format # Parse the error. err_type, err_value, err_tb = sys.exc_info() if message is\",\n \"bulid the bound. length : int, optional Lenght of the bound. \\\"\\\"\\\" border\",\n \"True: self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send\",\n \"errors that logger catched in the application during its execution. filters : dict\",\n \"methods or by calling `getlogger()` method with no name. Parameters ---------- name :\",\n \"or close output `html`. table : bool, optional The argument is used to\",\n \"self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass def\",\n \"not False: if self.root.file.size is not None: if self.root.file.size > self._maxsize: self.restart() return\",\n \"used to filter error records. critical : bool, optional The argument is used\",\n \"this messages just edit the value of appropriate item. with_errors : int The\",\n \": pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output\",\n \"which means it is disabled. Attributes ---------- name : str Name of the\",\n \"import platform import pypyrus_logbook as logbook import sys import time import traceback from\",\n \"according to `rectypes` dictionary. format : str, optional The format of the error\",\n \"in case of critical error if permitted. # The alarm will be generated\",\n \": str, optional The argument is used to set the `desc` attribute. version\",\n \"version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format,\",\n \"that is used to bulid the bound. length : int, optional Lenght of\",\n \"get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header\",\n \"of the application that we are logging. start_date : datetime.datetime Date when logging\",\n \"`desc` attribute. version : str, optional The argument is used to set the\",\n \"and new one must be opened. \\\"\\\"\\\" if self.root.file.status is True: if self._maxsize\",\n \"The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut\",\n \"if level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors >\",\n \"optional The argument is used to define the break error level. maxerrors :\",\n \"then edit appropriate one here. If you wish to use own record types\",\n \": int, optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length\",\n \"warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console\",\n \"f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with\",\n \": str By default method creates the record with the type NONE. That\",\n \"| +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL |\",\n \"None: path['dir'] = directory if filename is not None: path['name'] = filename if\",\n \"edit the value of appropriate item. with_errors : int The flag shows that\",\n \"self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None,\",\n \"start_date : datetime.datetime Date when logging was started. rectypes : dict All available\",\n \"filter record type just set corresponding item value to False. root : pypyrus_logbook.output.Root\",\n \"is configurated. If one of the limit triggers worked then application will be\",\n \"the bound. length : int, optional Lenght of the bound. \\\"\\\"\\\" border =\",\n \"just set corresponding item value to False. root : pypyrus_logbook.output.Root The output `Root`\",\n \"or bool, optional The argument is used to define the break error level.\",\n \"just add it to that dictinary. By default we provide the next few\",\n \"the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def\",\n \"at exit if it is configured. if self._control is True: if level >=\",\n \"else format # Parse the error. err_type, err_value, err_tb = sys.exc_info() if message\",\n \"is True: err_name = err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code\",\n \"False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the output.\",\n \"help to identify it. Main application logger will have the same name as\",\n \"message, **kwargs) else: message = message or '' self.record(rectype, message, **kwargs) # Break\",\n \"in the output. Useful when need to separate different blocks of information. Parameters\",\n \"The default is True. alarming : bool, optional The argument is used to\",\n \"filename if extension is not None: path['ext'] = extension if len(path) > 0:\",\n \"If record is error then set that parameter to `True`. **kwargs The keyword\",\n \"Each logger must have an unique name which will help to identify it.\",\n \"if isinstance(version, (str, int, float)) is True: self.version = version # Build the\",\n \"return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an error or not.\\\"\\\"\\\"\",\n \"**kwargs) else: message = message or '' self.record(rectype, message, **kwargs) # Break execution\",\n \"exception in current traceback exists then method will format the exception according to\",\n \"argument is used to filter info records. debug : bool, optional The argument\",\n \"default is 1. maxerrors : int or bool, optional The argument is used\",\n \"maximun number of errors. The default is False which means it is disabled.\",\n \"|INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR\",\n \"error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\"\",\n \"if it is not exists. In other case modify # existing output if\",\n \"isinstance(format, dict) is False else format self.formatter = Formatter(**format) elif isinstance(format, dict) is\",\n \"maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file self.email =\",\n \"used to filter debug records. The default is False. warning : bool, optional\",\n \"self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype, message, **kwargs) #\",\n \"methods like `ok()`, `success()`, `fail()`. If you wish to modify the text of\",\n \"used to filter debug records. warning : bool, optional The argument is used\",\n \"Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG\",\n \"if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int,\",\n \"logging. start_date : datetime.datetime Date when logging was started. rectypes : dict All\",\n \"logging in different outputs: console, file, email, database table, HTML document - and\",\n \"Build the output root if it is not exists. In other case modify\",\n \"it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message,\",\n \"= self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between\",\n \"open or close output `email`. html : bool, optional The argument is used\",\n \": bool, optional If record is error then set that parameter to `True`.\",\n \"The alarm will be generated at exit if it is configured. if self._control\",\n \"used to configure SMTP connection. db : dict, optional The argument is used\",\n \"isinstance(format, dict) is True: self.formatter.configure(**format) # Create or customize record type filters. if\",\n \"used to open or close output `file`. email : bool, optional The argument\",\n \"to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check\",\n \"attribute rectypes. If you wish to use own record type or change the\",\n \"| Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug\",\n \"str, optional The type of error according to `rectypes` dictionary. format : str,\",\n \"The argument is used to describe the error level. **kwargs The keyword arguments\",\n \": str, optional The argument is used to set logging file folder. filename\",\n \"filename is not None: path['name'] = filename if extension is not None: path['ext']\",\n \"which means that new output file will be opened at each 00:00:00. maxlevel\",\n \"that dictinary. By default we provide the next few record types: +---------+---------+ |\",\n \"forms (variables) for record and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True:\",\n \"argument is used to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record)\",\n \"file will be opened at each 00:00:00. maxlevel : int or bool, optional\",\n \"to modify the text of this messages just edit the value of appropriate\",\n \"will be opened at each 00:00:00. maxlevel : int or bool, optional The\",\n \"flag arguments, execution parameters, user parameters and environment variables and transforms all of\",\n \"script file. It can be accessed by native logbook methods or by calling\",\n \"key).close() # Customize output file path. path = {} if directory is not\",\n \"Useful when need to separate different blocks of information. Parameters ---------- div :\",\n \"table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting\",\n \"message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If\",\n \"\\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to\",\n \"database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) # Create formatter in case\",\n \"appropriate one here. If you wish to use own record types then just\",\n \"open or close output `file`. email : bool, optional The argument is used\",\n \"True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value is False:\",\n \"\\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message,\",\n \"for this certain call. level : int The argument is used to describe\",\n \"the output. Useful when need to separate different blocks of information. Parameters ----------\",\n \"self.filters[key] = value # Customize limits and parameters of execution behaviour. if isinstance(maxsize,\",\n \"The argument is used to filter critical records. alarming : bool, optional The\",\n \"version=None, status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None,\",\n \"`root`. console : bool, optional The argument is used to open or close\",\n \"**kwargs) # Break execution in case of critical error if permitted. # The\",\n \"instead of exception. rectype : str, optional The type of error according to\",\n \"pypyrus_logbook as logbook import sys import time import traceback from .conf import all_loggers\",\n \"application. self.app = None self.desc = None self.version = None # Some logger\",\n \"console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False,\",\n \"status : bool, optional The argument is used to open or close output\",\n \"name which will help to identify it. Main application logger will have the\",\n \"logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return self._start_date @property\",\n \"`app` attribute. desc : str, optional The argument is used to set the\",\n \"funcionality for advanced logging in different outputs: console, file, email, database table, HTML\",\n \"argument is used to set the `app` attribute. desc : str, optional The\",\n \"the logger. app : str Name of the application that we are logging.\",\n \"of formatter # that must be customized. if isinstance(format, str) is True: format\",\n \"\\\"\\\"\\\"Send subheader as upper-case text between two border lines to the output. Parameters\",\n \"isinstance(value, bool) is True: self.filters[key] = value # Customize limits and parameters of\",\n \"to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send\",\n \"1 format = self.formatter.error if format is None else format # Parse the\",\n \"**kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info'\",\n \"message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception\",\n \"if self._maxsize is not False: if self.root.file.size is not None: if self.root.file.size >\",\n \"type or change the presentaion of exeisting one then edit this dictinary. message\",\n \"is used to define maximum size of output file. Must be presented as\",\n \"new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used\",\n \"record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def info(self, message, **kwargs):\",\n \"is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True:\",\n \"self.root.file.new() if self.header.used is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email\",\n \"bool, optional The argument is used to open or close output `root`. console\",\n \"# Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass def\",\n \"optional If record is error then set that parameter to `True`. **kwargs The\",\n \"default is True. error : bool, optional The argument is used to filter\",\n \"\\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None,\",\n \"presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def\",\n \"to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader\",\n \"commands that together gives funcionality for advanced logging in different outputs: console, file,\",\n \"argument is used to enable or disable alarming mechanism. The default is True.\",\n \"default is True. alarming : bool, optional The argument is used to enable\",\n \"getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root,\",\n \"application execution. The default is 1. maxerrors : int or bool, optional The\",\n \"self.filters.get(rectype, True) is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass\",\n \"current traceback exists then method will format the exception according to `formatter.error` string\",\n \"err_type.__name__ err_value = err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file =\",\n \"self._maxerrors: sys.exit() # Send alarm if execution was not aborted but alarm is\",\n \"+=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+\",\n \"\\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is\",\n \"records. Parameters ---------- rectype : str By default method creates the record with\",\n \"desc : str Description of the application that we are logging. version :\",\n \"Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO',\",\n \"size of output file. Must be presented as number of bytes. The default\",\n \"used to define maximum size of output file. maxdays : int or bool,\",\n \"message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message\",\n \"argument is used to set the `version` attribute. status : bool, optional The\",\n \"is used to enable or disable the alarming mechanism for this certain call.\",\n \"is False. warning : bool, optional The argument is used to filter warning\",\n \"used to filter error records. The default is True. critical : bool, optional\",\n \"self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics\",\n \"`Logger` methods like `ok()`, `success()`, `fail()`. If you wish to modify the text\",\n \"optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border +\",\n \"is used to send it to the output `root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass\",\n \"is True. alarming : bool, optional The argument is used to enable or\",\n \"name : str Name of the logger. app : str Name of the\",\n \"dict All available record types. Keys are used in `Logger` write methods as\",\n \"record template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input\",\n \"@property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start\",\n \"the instance attribute rectypes. If you wish to use own record type or\",\n \": bool, optional The argument is used to filter debug records. warning :\",\n \"def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\"\",\n \"or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed to the\",\n \"\\\"\\\"\\\"Update values in table. Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs)\",\n \"{'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if value is\",\n \"filters. To filter record type just set corresponding item value to False. root\",\n \"self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print INFO message with FAIL.\\\"\\\"\\\"\",\n \"err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type, err_value, err_tb) message =\",\n \"The argument is used to define maximum size of output file. Must be\",\n \"**kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype : str By default\",\n \"or close output `root`. console : bool, optional The argument is used to\",\n \"__check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when current file must be\",\n \"used to define the break error level. maxerrors : int or bool, optional\",\n \"describe the error level. **kwargs The keyword arguments used for additional forms (variables)\",\n \"def __init__(self, name=None, app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None,\",\n \"all of that to `Dataset` object. Through the `Dataset` object data can be\",\n \"The default is 1. maxerrors : int or bool, optional The argument is\",\n \"alarming : bool, optional The argument is used to enable or disable alarming\",\n \"info : bool, optional The argument is used to filter info records. The\",\n \"|CRITICAL | +---------+---------+ messages : dict Messages that are printed with some `Logger`\",\n \"extension : str, optional The argument is used to set logging file extension.\",\n \"dict, optional The argument is used to configure SMTP connection. db : dict,\",\n \"formatter which sets all formatting configuration like record template, error message template, line\",\n \"div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when need to separate\",\n \"The argument is used to define maximun number of errors. \\\"\\\"\\\" if isinstance(app,\",\n \"easily accessed by get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`.\",\n \"error level. **kwargs The keyword arguments used for additional forms (variables) for record\",\n \"level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create()\",\n \"def __calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted according to maxdays\",\n \"case on error. maxsize : int or bool, optional The argument is used\",\n \"self.html = self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) # Add\",\n \"border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write\",\n \"to describe the error level. **kwargs The keyword arguments used for additional forms\",\n \"to special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object\",\n \"border in the output. Useful when need to separate different blocks of information.\",\n \"keyword arguments used for additional forms (variables) for record and message formatting. \\\"\\\"\\\"\",\n \"Name of the application that we are logging. desc : str Description of\",\n \"maxerrors=False): # Unique name of the logger. self._name = name # Attributes describing\",\n \"== 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close() # Customize output\",\n \"types then just add it to that dictinary. By default we provide the\",\n \"os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file,\",\n \"specifications, flag arguments, execution parameters, user parameters and environment variables and transforms all\",\n \"Root(self, console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else:\",\n \"be either string or dictionary. # When it is string then it must\",\n \"# When it is dictionary it can contaion any parameter of formatter #\",\n \": dict, optional The argument is used to configure DB connection. format :\",\n \"logbook methods or by calling `getlogger()` method with no name. Parameters ---------- name\",\n \"write to the output. Parameters ---------- record : Record The argument is used\",\n \"te define `name` attribute app : str, optional The argument is used to\",\n \"The argument is used to configure SMTP connection. db : dict, optional The\",\n \"00:00:00. maxlevel : int or bool, optional The argument is used to define\",\n \"f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return\",\n \"exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message,\",\n \"string then it must describe records format. # When it is dictionary it\",\n \"of days that will be logged to same file. The default is 1\",\n \"blank lines in the output. Parameters ---------- number : int, optional The number\",\n \"= 0, ERRROR = 1, CRITICAL = 2). All that higher the break\",\n \"same name as a python script file. It can be accessed by native\",\n \"# Customize output file path. path = {} if directory is not None:\",\n \"`email`. html : bool, optional The argument is used to open or close\",\n \"Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email\",\n \"pypyrus_logbook.formatter.Formatter Logger formatter which sets all formatting configuration like record template, error message\",\n \"formatting. \\\"\\\"\\\" self._with_error = True self._count_errors += 1 format = self.formatter.error if format\",\n \"extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict)\",\n \"The message that must be written. error : bool, optional If record is\",\n \"using information from diffrent inputs: user messages, traceback, frames, user parameters, execution arguments\",\n \"file : bool, optional The argument is used to open or close output\",\n \"used to configure DB connection. format : str, optional The argument is used\",\n \"is not None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value =\",\n \"getattr(self.root, key).close() # Customize output file path. path = {} if directory is\",\n \"systems descriptors. Each logger must have an unique name which will help to\",\n \": dict All available record types. Keys are used in `Logger` write methods\",\n \"in {'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if value\",\n \"application logger will have the same name as a python script file. It\",\n \"be easily accessed by get item operation or by point like `sysinfo.desc['hostname']` or\",\n \"bound = f'{self.formatter.div*self.formatter.length}\\\\n' string = f'{bound}\\\\t{string}\\\\n{bound}'.upper() self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw\",\n \"have the same name as a python script file. It can be accessed\",\n \"pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table.\",\n \"`fail()`. If you wish to modify the text of this messages just edit\",\n \"pass def _exit(self): # Inform about the error. if self._alarming is True and\",\n \"in `Logger` write methods as `rectype` argument. Values are used in formatting. So\",\n \"of critical error if permitted. # The alarm will be generated at exit\",\n \"item. with_errors : int The flag shows that logger catched errors in the\",\n \"True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors\",\n \"\\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1):\",\n \"str, optional The argument is used to set record template. info : bool,\",\n \"is needed. if alarming is True: self.root.email.alarm() pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send\",\n \"with some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish to modify\",\n \"parameters and environment variables and transforms all of that to `Dataset` object. Through\",\n \"'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail':\",\n \"bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is\",\n \"bool, optional The argument is used to filter warning records. error : bool,\",\n \"from .record import Record from .sysinfo import Sysinfo class Logger(): \\\"\\\"\\\"This class represents\",\n \"is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is not False: if\",\n \"# Parameter format can be either string or dictionary. # When it is\",\n \"alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of the logger. self._name\",\n \"messages just edit the value of appropriate item. with_errors : int The flag\",\n \"email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`.\",\n \"message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR\",\n \"is used to define maximun number of errors. The default is False which\",\n \"of output file. Must be presented as number of bytes. The default is\",\n \"is 10 Mb. maxdays : int or bool, optional The argument is used\",\n \"in formatting. So if you wish to modify `rectype` form then edit appropriate\",\n \"the logger and all its attributes. This is an only one right way\",\n \"contaion any parameter of formatter # that must be customized. if isinstance(format, str)\",\n \"= directory if filename is not None: path['name'] = filename if extension is\",\n \"= maxerrors if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool)\",\n \"name. Parameters ---------- name : str, optional The argument is used te define\",\n \"is used to set logging file folder. filename : str, optional The argument\",\n \"'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages = {'ok': 'OK', 'success': 'SUCCESS', 'fail': 'FAIL'}\",\n \"+---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages\",\n \"is `True`, email output is enabled and SMTP server is configurated. If one\",\n \"= err_value for tb in traceback.walk_tb(err_tb): f_code = tb[0].f_code err_file = os.path.abspath(f_code.co_filename) err_line\",\n \": int, optional The number of the blank lines that must be written.\",\n \"logger and all its attributes. This is an only one right way to\",\n \": dict Record types filters. To filter record type just set corresponding item\",\n \": bool, optional The argument is used to filter debug records. The default\",\n \"message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse\",\n \"None self.desc = None self.version = None # Some logger important attributes self._start_date\",\n \"record to the output.\\\"\\\"\\\" rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self,\",\n \"**kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception in current traceback exists\",\n \"+= ''.join(exception) self.record(rectype, message, **kwargs) else: message = message or '' self.record(rectype, message,\",\n \"will be generated at exit if it is configured. if self._control is True:\",\n \"self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL error record\",\n \"message): \\\"\\\"\\\"Send raw text with the new line to the output. Parameters ----------\",\n \"self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info'\",\n \"`ok()`, `success()`, `fail()`. If you wish to modify the text of this messages\",\n \"path['dir'] = directory if filename is not None: path['name'] = filename if extension\",\n \"'' self.record(rectype, message, **kwargs) # Break execution in case of critical error if\",\n \"text that will be presented as subheader. \\\"\\\"\\\" bound = f'{self.formatter.div*self.formatter.length}\\\\n' string =\",\n \"or customize record type filters. if hasattr(self, 'filters') is False: self.filters = {}\",\n \"appropriate item. with_errors : int The flag shows that logger catched errors in\",\n \"= name # Attributes describing the application. self.app = None self.desc = None\",\n \"int, optional The number of the blank lines that must be written. \\\"\\\"\\\"\",\n \"the new line to the output. Parameters ---------- message : str The message\",\n \"self.root.email self.html = self.root.html self.table = self.root.table # Set exit function. atexit.register(self._exit) #\",\n \"maxerrors=None): \\\"\\\"\\\"Main method to configure the logger and all its attributes. This is\",\n \"is False: exception = traceback.format_exception(err_type, err_value, err_tb) message = '\\\\n' message += ''.join(exception)\",\n \"self._maxlevel: sys.exit() if self._maxerrors is not False: if self._count_errors > self._maxerrors: sys.exit() #\",\n \": bool, optional The argument is used to open or close output `table`.\",\n \"The argument is used to filter error records. critical : bool, optional The\",\n \"as `rectype` argument. Values are used in formatting. So if you wish to\",\n \"number of days that will be logged to same file. maxlevel : int\",\n \"rectypes. If you wish to use own record type or change the presentaion\",\n \"or '' self.record(rectype, message, **kwargs) # Break execution in case of critical error\",\n \"'error': error, 'warning': warning, 'critical': critical}.items(): if isinstance(value, bool) is True: self.filters[key] =\",\n \"value in {'info': info, 'debug': debug, 'error': error, 'warning': warning, 'critical': critical}.items(): if\",\n \"mechanism for this certain call. level : int The argument is used to\",\n \"self._maxsize is not False: if self.root.file.size is not None: if self.root.file.size > self._maxsize:\",\n \"def info(self, message, **kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype,\",\n \"records. The default is True. error : bool, optional The argument is used\",\n \"open or close output `console`. file : bool, optional The argument is used\",\n \"Parameters ---------- message : str, optional The message that must be written instead\",\n \"warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False): # Unique name of\",\n \"So if you wish to modify `rectype` form then edit appropriate one here.\",\n \"control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file =\",\n \"level will interrupt application execution. The default is 1. maxerrors : int or\",\n \"here. If you wish to use own record types then just add it\",\n \"used to define maximun number of errors. The default is False which means\",\n \"is used to filter error records. critical : bool, optional The argument is\",\n \"triggers worked then application will be aborted. Parameters ---------- message : str, optional\",\n \"when not exists. if hasattr(self, 'header') is False: self.header = Header(self) pass def\",\n \"key).open() if key == 'file': getattr(self.root, key).new() elif value is False: getattr(self.root, key).close()\",\n \"status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console,\",\n \"import Formatter from .header import Header from .output import Root from .record import\",\n \"maxerrors : int or bool, optional The argument is used to define maximun\",\n \"enabled and SMTP server is configurated. If one of the limit triggers worked\",\n \"from diffrent inputs: user messages, traceback, frames, user parameters, execution arguments and systems\",\n \"bool, optional The argument is used to define maximun number of errors. \\\"\\\"\\\"\",\n \"True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays =\",\n \"= 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def fail(self, **kwargs): \\\"\\\"\\\"Print\",\n \"is used to set the `version` attribute. status : bool, optional The argument\",\n \"|none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG | +---------+---------+ |warning\",\n \"`html`. table : bool, optional The argument is used to open or close\",\n \"filter info records. The default is True. debug : bool, optional The argument\",\n \"mechanism. control : bool, optional The argument is used to enable or disable\",\n \"logbook import sys import time import traceback from .conf import all_loggers from .formatter\",\n \"messages : dict Messages that are printed with some `Logger` methods like `ok()`,\",\n \"rectype = 'debug' self.record(rectype, message, **kwargs) pass def error(self, message=None, rectype='error', format=None, alarming=False,\",\n \"an error or not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured\",\n \"sys.exc_info() if message is None and err_type is not None: if isinstance(format, str)\",\n \"other case modify # existing output if it is requested. if hasattr(self, 'root')\",\n \"The default is True. maxsize : int or bool, optional The argument is\",\n \"all_loggers from .formatter import Formatter from .header import Header from .output import Root\",\n \"dictinary. By default we provide the next few record types: +---------+---------+ | Key\",\n \"= Sysinfo(self) # Initialize header instance when not exists. if hasattr(self, 'header') is\",\n \"error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which\",\n \"record types. Keys are used in `Logger` write methods as `rectype` argument. Values\",\n \"user parameters and environment variables and transforms all of that to `Dataset` object.\",\n \"opened at each 00:00:00. maxlevel : int or bool, optional The argument is\",\n \"| +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+ |debug |DEBUG |\",\n \"includeing system specifications, flag arguments, execution parameters, user parameters and environment variables and\",\n \": str The text that will be presented as subheader. \\\"\\\"\\\" bound =\",\n \"one of the limit triggers worked then application will be aborted. Parameters ----------\",\n \"used to open or close output `table`. directory : str, optional The argument\",\n \"optional The argument is used to filter warning records. The default is True.\",\n \"argument is used to filter warning records. The default is True. error :\",\n \"name of the logger. self._name = name # Attributes describing the application. self.app\",\n \"filter warning records. error : bool, optional The argument is used to filter\",\n \"execution break in case on error. maxsize : int or bool, optional The\",\n \"= (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to\",\n \"single logger. Logger by it self is a complex set of methods, items\",\n \"bool) is True: self._control = control # Initialize sysinfo instance when not exists.\",\n \"in different outputs: console, file, email, database table, HTML document - and using\",\n \"bool, optional The argument is used to filter info records. The default is\",\n \"from .conf import all_loggers from .formatter import Formatter from .header import Header from\",\n \"warning : bool, optional The argument is used to filter warning records. The\",\n \"not exists. if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header\",\n \"arguments, execution parameters, user parameters and environment variables and transforms all of that\",\n \"be written instead of exception. rectype : str, optional The type of error\",\n \"is not False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution\",\n \"be closed and new one must be opened. \\\"\\\"\\\" if self.root.file.status is True:\",\n \"message : str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def\",\n \"self._name = name # Attributes describing the application. self.app = None self.desc =\",\n \"record types are stored in the instance attribute rectypes. If you wish to\",\n \"if hasattr(self, 'sysinfo') is False: self.sysinfo = Sysinfo(self) # Initialize header instance when\",\n \"only one right way to customize logger. Parameters are the same as for\",\n \"optional The argument is used to filter info records. debug : bool, optional\",\n \"in case it is not exists yet or just customize it. # Parameter\",\n \"of the limit triggers worked then application will be aborted. Parameters ---------- message\",\n \"of appropriate item. with_errors : int The flag shows that logger catched errors\",\n \"The format of the error message. alarming : bool The argument is used\",\n \"bool, optional The argument is used to define maximum size of output file.\",\n \"status=None, console=None, file=None, email=None, html=None, table=None, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=None,\",\n \"name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self): \\\"\\\"\\\"Logging start date.\\\"\\\"\\\" return\",\n \"if it is configured. if self._control is True: if level >= self._maxlevel: sys.exit()\",\n \"err_value, err_tb) message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message\",\n \"define `name` attribute app : str, optional The argument is used to set\",\n \"the same name as a python script file. It can be accessed by\",\n \"Sysinfo class Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by it self\",\n \"output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case\",\n \"isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel = maxlevel if isinstance(maxerrors, (int, float,\",\n \"**kwargs The keyword arguments used for additional forms (variables) for record and message\",\n \"if isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value for tb\",\n \"The argument is used to enable or disable alarming mechanism. control : bool,\",\n \"Inform about the error. if self._alarming is True and self._with_error is True: self.root.email.alarm()\",\n \"alarming mechanism for this certain call. level : int The argument is used\",\n \"registered record types are stored in the instance attribute rectypes. If you wish\",\n \"break error level (WARNING = 0, ERRROR = 1, CRITICAL = 2). All\",\n \"# Initialize header instance when not exists. if hasattr(self, 'header') is False: self.header\",\n \"str) is True: format = {'record': format} if hasattr(self, 'formatter') is False: format\",\n \"interrupt application execution. The default is 1. maxerrors : int or bool, optional\",\n \"**kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass\",\n \"False: if self._count_errors > self._maxerrors: sys.exit() # Send alarm if execution was not\",\n \"is used to filter debug records. The default is False. warning : bool,\",\n \"or close output `console`. file : bool, optional The argument is used to\",\n \"self.header.used is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note\",\n \"INFO message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs)\",\n \"import traceback from .conf import all_loggers from .formatter import Formatter from .header import\",\n \"information. Parameters ---------- div : str, optional Symbol that is used to bulid\",\n \"= '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype\",\n \"value in {'console': console, 'file': file, 'email': email, 'html': html, 'table': table}.items(): if\",\n \"status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db, format=format, info=info,\",\n \"def error(self, message=None, rectype='error', format=None, alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the\",\n \"float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool))\",\n \": str, optional The message that must be written instead of exception. rectype\",\n \"table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True,\",\n \"`root`. \\\"\\\"\\\" self.__check_file_stats() self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method\",\n \"method will send an alarm if alarming attribute is `True`, email output is\",\n \"is used to describe the error level. **kwargs The keyword arguments used for\",\n \"# Break execution in case of critical error if permitted. # The alarm\",\n \"for advanced logging in different outputs: console, file, email, database table, HTML document\",\n \"configuration like record template, error message template, line length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo\",\n \"def subhead(self, string): \\\"\\\"\\\"Send subheader as upper-case text between two border lines to\",\n \"app=None, desc=None, version=None, status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None,\",\n \"optional The argument is used to open or close output `email`. html :\",\n \"according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self):\",\n \"number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number : int, optional\",\n \"exit function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name] =\",\n \"self._with_error = False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc,\",\n \"True: self.app = app if isinstance(desc, str) is True: self.desc = desc if\",\n \"atexit import datetime as dt import os import platform import pypyrus_logbook as logbook\",\n \"`Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email\",\n \"pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when current file\",\n \"import os import platform import pypyrus_logbook as logbook import sys import time import\",\n \"int or bool, optional The argument is used to define maximum number of\",\n \"date when logger must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date =\",\n \"self.root.email.send(*args, **kwargs) pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB\",\n \"function. atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self\",\n \"err_type, err_value, err_tb = sys.exc_info() if message is None and err_type is not\",\n \"string): \\\"\\\"\\\"Send subheader as upper-case text between two border lines to the output.\",\n \"pass def set(self, **kwargs): \\\"\\\"\\\"Update values in table. Note that DB connection must\",\n \"is used to filter error records. The default is True. critical : bool,\",\n \"record is error then set that parameter to `True`. **kwargs The keyword arguments\",\n \"used in formatting. So if you wish to modify `rectype` form then edit\",\n \"The number of the blank lines that must be written. \\\"\\\"\\\" string =\",\n \"NONE. That can be changed but depends on available record types. All registered\",\n \"True) is True: record = Record(self, rectype, message, error=error, **kwargs) self.write(record) pass def\",\n \"for `Logger.output.html`. table: pypyrus_logbook.output.Table The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter\",\n \"\\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype : str By default method\",\n \"bound. length : int, optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div\",\n \"The argument is used to open or close output `root`. console : bool,\",\n \"instance attribute rectypes. If you wish to use own record type or change\",\n \"types. Keys are used in `Logger` write methods as `rectype` argument. Values are\",\n \"self.filters = {} for key, value in {'info': info, 'debug': debug, 'error': error,\",\n \"bool, optional If record is error then set that parameter to `True`. **kwargs\",\n \"is used to set logging file name. extension : str, optional The argument\",\n \"# existing output if it is requested. if hasattr(self, 'root') is False: self.root\",\n \"| +---------+---------+ |error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict\",\n \"it is requested. if hasattr(self, 'root') is False: self.root = Root(self, console=console, file=file,\",\n \"to set the `version` attribute. status : bool, optional The argument is used\",\n \"critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console\",\n \"start date.\\\"\\\"\\\" return self._start_date @property def with_error(self): \\\"\\\"\\\"Flag that shows was an error\",\n \"self._maxdays = maxdays self.__calculate_restart_date() if isinstance(maxlevel, (int, float, bool)) is True: self._maxlevel =\",\n \"info : bool, optional The argument is used to filter info records. debug\",\n \"path['name'] = filename if extension is not None: path['ext'] = extension if len(path)\",\n \"special all_loggers dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">'\",\n \"is True: self.formatter.configure(**format) # Create or customize record type filters. if hasattr(self, 'filters')\",\n \"of the logger. self._name = name # Attributes describing the application. self.app =\",\n \"if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head() pass def send(self,\",\n \"The default is True. debug : bool, optional The argument is used to\",\n \"item value to False. root : pypyrus_logbook.output.Root The output `Root` object. console :\",\n \"logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug':\",\n \"exception will be just printed in original Python style. Also method will send\",\n \"message = '\\\\n' message += ''.join(exception) self.record(rectype, message, **kwargs) else: message = message\",\n \"its execution. count_errors : int Number of errors that logger catched in the\",\n \"behaviour. if isinstance(maxsize, (int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays,\",\n \"extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console, 'file': file, 'email':\",\n \"must have an unique name which will help to identify it. Main application\",\n \"object which parse different inputs includeing system specifications, flag arguments, execution parameters, user\",\n \"return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None, html=None, table=None,\",\n \"edit appropriate one here. If you wish to use own record types then\",\n \"Record The argument is used to send it to the output `root`. \\\"\\\"\\\"\",\n \"self.desc = desc if isinstance(version, (str, int, float)) is True: self.version = version\",\n \"the error level. **kwargs The keyword arguments used for additional forms (variables) for\",\n \"on error. maxsize : int or bool, optional The argument is used to\",\n \"By default method creates the record with the type NONE. That can be\",\n \"pass def warning(self, message=None, **kwargs): \\\"\\\"\\\"Send WARNING error record to the output.\\\"\\\"\\\" self.error(message,\",\n \"then application will be aborted. Parameters ---------- message : str, optional The message\",\n \"**kwargs): \\\"\\\"\\\"Send INFO record to output.\\\"\\\"\\\" rectype = 'info' self.record(rectype, message, **kwargs) pass\",\n \"This is an only one right way to customize logger. Parameters are the\",\n \"parameter to `True`. **kwargs The keyword arguments used for additional forms (variables) for\",\n \"= dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True: self.head()\",\n \"message. Note that SMTP server connection must be configured. \\\"\\\"\\\" self.root.email.send(*args, **kwargs) pass\",\n \"file path. path = {} if directory is not None: path['dir'] = directory\",\n \"all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__\",\n \"True: self.root.email.configure(**smtp) # Customize database connection. if isinstance(db, dict) is True: self.root.table.configure(**db) #\",\n \"sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system specifications,\",\n \"inputs includeing system specifications, flag arguments, execution parameters, user parameters and environment variables\",\n \"not None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP\",\n \"str Name of the application that we are logging. desc : str Description\",\n \"is False: self.header = Header(self) pass def write(self, record): \\\"\\\"\\\"Direct write to the\",\n \"Parameters ---------- string : str The text that will be presented as subheader.\",\n \"file. Must be presented as number of bytes. The default is 10 Mb.\",\n \"instance when not exists. if hasattr(self, 'header') is False: self.header = Header(self) pass\",\n \"string : str The text that will be presented as subheader. \\\"\\\"\\\" bound\",\n \": pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object.\",\n \"critical : bool, optional The argument is used to filter critical records. alarming\",\n \"that must be customized. if isinstance(format, str) is True: format = {'record': format}\",\n \": str, optional The format of the error message. alarming : bool The\",\n \"that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs):\",\n \"used to filter info records. debug : bool, optional The argument is used\",\n \"None: path['ext'] = extension if len(path) > 0: self.root.file.configure(**path) # Customize SMTP server.\",\n \"disable alarming mechanism. control : bool, optional The argument is used to enable\",\n \"if value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new() elif\",\n \"optional The argument is used to set the `app` attribute. desc : str,\",\n \"CRITICAL = 2). All that higher the break level will interrupt application execution.\",\n \"= self.messages['ok'] self.record(rectype, message, **kwargs) pass def success(self, **kwargs): \\\"\\\"\\\"Print INFO message with\",\n \"# Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html,\",\n \"Parameters ---------- record : Record The argument is used to send it to\",\n \"= app if isinstance(desc, str) is True: self.desc = desc if isinstance(version, (str,\",\n \"# Inform about the error. if self._alarming is True and self._with_error is True:\",\n \"import time import traceback from .conf import all_loggers from .formatter import Formatter from\",\n \"self.app = app if isinstance(desc, str) is True: self.desc = desc if isinstance(version,\",\n \"self.write(string) pass def line(self, message): \\\"\\\"\\\"Send raw text with the new line to\",\n \": str Name of the logger. app : str Name of the application\",\n \"Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self): #\",\n \"or disable alarming mechanism. control : bool, optional The argument is used to\",\n \"str, optional The argument is used to set logging file extension. smtp :\",\n \"the next few record types: +---------+---------+ | Key | Value | +=========+=========+ |none\",\n \"of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border + '\\\\n') pass\",\n \"CRITICAL error record to the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self):\",\n \"+---------+---------+ |debug |DEBUG | +---------+---------+ |warning |WARNING | +---------+---------+ |error |ERROR | +---------+---------+\",\n \"= f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format\",\n \"shows that logger catched errors in the application during its execution. count_errors :\",\n \"attribute app : str, optional The argument is used to set the `app`\",\n \"|error |ERROR | +---------+---------+ |critical |CRITICAL | +---------+---------+ messages : dict Messages that\",\n \"dictinary. message : str The message that must be written. error : bool,\",\n \"optional The argument is used to set record template. info : bool, optional\",\n \"just printed in original Python style. Also method will send an alarm if\",\n \"= None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes = {'none':\",\n \"messages, traceback, frames, user parameters, execution arguments and systems descriptors. Each logger must\",\n \"if execution was not aborted but alarm is needed. if alarming is True:\",\n \"all formatting configuration like record template, error message template, line length etc. sysinfo\",\n \"Messages that are printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If\",\n \"self.desc = None self.version = None # Some logger important attributes self._start_date =\",\n \"used to describe the error level. **kwargs The keyword arguments used for additional\",\n \"directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for key, value in {'console': console, 'file':\",\n \"must be written. error : bool, optional If record is error then set\",\n \"int, optional Lenght of the bound. \\\"\\\"\\\" border = self.formatter.div * self.formatter.length self.write(border\",\n \"Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html:\",\n \"name as a python script file. It can be accessed by native logbook\",\n \"Create or customize record type filters. if hasattr(self, 'filters') is False: self.filters =\",\n \"rectypes : dict All available record types. Keys are used in `Logger` write\",\n \"HTML document - and using information from diffrent inputs: user messages, traceback, frames,\",\n \"output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets all\",\n \"bool, optional The argument is used to define the break error level. maxerrors\",\n \"table. Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def _exit(self):\",\n \"like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be printed\",\n \"is set to `False` the exception will be just printed in original Python\",\n \"= value # Customize limits and parameters of execution behaviour. if isinstance(maxsize, (int,\",\n \"directory : str, optional The argument is used to set logging file folder.\",\n \"argument is used to set record template. info : bool, optional The argument\",\n \"is None and err_type is not None: if isinstance(format, str) is True: err_name\",\n \"self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING',\",\n \"with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass def\",\n \"in table. Note that DB connection must be configured. \\\"\\\"\\\" self.root.table.write(**kwargs) pass def\",\n \"with FAIL.\\\"\\\"\\\" rectype = 'info' message = self.messages['fail'] self.record(rectype, message, **kwargs) pass def\",\n \"enable or disable the alarming mechanism for this certain call. level : int\",\n \"with the new line to the output. Parameters ---------- message : str The\",\n \"# Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) # Customize database\",\n \"email : bool, optional The argument is used to open or close output\",\n \"set of methods, items and commands that together gives funcionality for advanced logging\",\n \"message with SUCCESS.\\\"\\\"\\\" rectype = 'info' message = self.messages['success'] self.record(rectype, message, **kwargs) pass\",\n \"**kwargs) pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype\",\n \"statistics to catch when current file must be closed and new one must\",\n \"err_value, err_tb = sys.exc_info() if message is None and err_type is not None:\",\n \"name. extension : str, optional The argument is used to set logging file\",\n \"the record with the type NONE. That can be changed but depends on\",\n \"\\\"\\\"\\\"Check the output file statistics to catch when current file must be closed\",\n \": pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing system specifications, flag\",\n \"in the application during its execution. filters : dict Record types filters. To\",\n \"as dt import os import platform import pypyrus_logbook as logbook import sys import\",\n \"The default is 1 which means that new output file will be opened\",\n \"table, HTML document - and using information from diffrent inputs: user messages, traceback,\",\n \"subheader as upper-case text between two border lines to the output. Parameters ----------\",\n \"to modify `rectype` form then edit appropriate one here. If you wish to\",\n \"written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def ok(self, **kwargs): \\\"\\\"\\\"Print INFO message\",\n \"def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def\",\n \"`Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut for\",\n \"and message formatting. \\\"\\\"\\\" if self.filters.get(rectype, True) is True: record = Record(self, rectype,\",\n \"transforms all of that to `Dataset` object. Through the `Dataset` object data can\",\n \"dictinary. all_loggers[self._name] = self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ =\",\n \"right way to customize logger. Parameters are the same as for creatrion. Parameters\",\n \"False. warning : bool, optional The argument is used to filter warning records.\",\n \"occured errors.\\\"\\\"\\\" return self._count_errors def configure(self, app=None, desc=None, version=None, status=None, console=None, file=None, email=None,\",\n \"the `app` attribute. desc : str, optional The argument is used to set\",\n \"to enable or disable alarming mechanism. The default is True. control : bool,\",\n \"argument is used to define maximum number of days that will be logged\",\n \"disable the alarming mechanism for this certain call. level : int The argument\",\n \"logger. self._name = name # Attributes describing the application. self.app = None self.desc\",\n \"str, optional The argument is used te define `name` attribute app : str,\",\n \"argument is used to open or close output `email`. html : bool, optional\",\n \"console=console, file=file, email=email, html=html, table=table, status=status, directory=directory, filename=filename, extension=extension, smtp=smtp, db=db) else: for\",\n \"logging file name. extension : str, optional The argument is used to set\",\n \"__repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def\",\n \"message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self, div=None, length=None): \\\"\\\"\\\"Write\",\n \"modify the text of this messages just edit the value of appropriate item.\",\n \"it to that dictinary. By default we provide the next few record types:\",\n \"can be either string or dictionary. # When it is string then it\",\n \"blank lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number self.write(string) pass def\",\n \"attributes self._start_date = dt.datetime.now() self.rectypes = {'none': 'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning':\",\n \"the output root if it is not exists. In other case modify #\",\n \"In other case modify # existing output if it is requested. if hasattr(self,\",\n \"pypyrus_logbook.output.File The output file. Shortcut for `Logger.output.file`. email : pypyrus_logbook.output.Email The output email.\",\n \"output. If exception in current traceback exists then method will format the exception\",\n \"level : int The argument is used to describe the error level. **kwargs\",\n \"and transforms all of that to `Dataset` object. Through the `Dataset` object data\",\n \"used to filter critical records. alarming : bool, optional The argument is used\",\n \"logger must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date +\",\n \"item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The\",\n \"if message is None and err_type is not None: if isinstance(format, str) is\",\n \"None: if isinstance(format, str) is True: err_name = err_type.__name__ err_value = err_value for\",\n \"The argument is used to open or close output `html`. table : bool,\",\n \"the output. Parameters ---------- message : str The message that must be written.\",\n \"data can be easily accessed by get item operation or by point like\",\n \"db=db, format=format, info=info, debug=debug, warning=warning, error=error, critical=critical, alarming=alarming, control=control, maxsize=maxsize, maxdays=maxdays, maxlevel=maxlevel, maxerrors=maxerrors)\",\n \"enable or disable execution break in case on error. The default is True.\",\n \"self pass def __str__(self): return f'<Logger object \\\"{self._name}\\\">' __repr__ = __str__ @property def\",\n \"All available record types. Keys are used in `Logger` write methods as `rectype`\",\n \"pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut\",\n \"is True: self.head() pass def send(self, *args, **kwargs): \\\"\\\"\\\"Send email message. Note that\",\n \"is 1. maxerrors : int or bool, optional The argument is used to\",\n \"output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\"\",\n \"the limit triggers worked then application will be aborted. Parameters ---------- message :\",\n \"bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when need to\",\n \"write records. Parameters ---------- rectype : str By default method creates the record\",\n \": str Description of the application that we are logging. version : str\",\n \"printed with some `Logger` methods like `ok()`, `success()`, `fail()`. If you wish to\",\n \"db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True, alarming=True, control=True, maxsize=(1024*1024*10), maxdays=1, maxlevel=2, maxerrors=False):\",\n \"isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool) is True: self._control\",\n \"str, optional The argument is used to set logging file folder. filename :\",\n \"not.\\\"\\\"\\\" return self._with_error @property def count_errors(self): \\\"\\\"\\\"The number of occured errors.\\\"\\\"\\\" return self._count_errors\",\n \"self.root.table.configure(**db) # Create formatter in case it is not exists yet or just\",\n \"bool) is True: self._alarming = alarming if isinstance(control, bool) is True: self._control =\",\n \"maxerrors=maxerrors) # Output shortcuts. self.console = self.root.console self.file = self.root.file self.email = self.root.email\",\n \"`Logger` write methods as `rectype` argument. Values are used in formatting. So if\",\n \"that new output file will be opened at each 00:00:00. maxlevel : int\",\n \"Key | Value | +=========+=========+ |none |NONE | +---------+---------+ |info |INFO | +---------+---------+\",\n \"= control # Initialize sysinfo instance when not exists. if hasattr(self, 'sysinfo') is\",\n \"The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut\",\n \"optional The argument is used to filter critical records. alarming : bool, optional\",\n \"argument is used to enable or disable execution break in case on error.\",\n \"The output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for\",\n \"alarming=False, level=1, **kwargs): \\\"\\\"\\\"Send ERROR record to the output. If exception in current\",\n \"True: self.root.table.configure(**db) # Create formatter in case it is not exists yet or\",\n \"= __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name @property def start_date(self):\",\n \"for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML document. Shortcut for `Logger.output.html`. table: pypyrus_logbook.output.Table\",\n \"str, optional The argument is used to set the `version` attribute. status :\",\n \"html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True, error=True, critical=True,\",\n \"Special input object which parse different inputs includeing system specifications, flag arguments, execution\",\n \"atexit.register(self._exit) # Add creating logger to special all_loggers dictinary. all_loggers[self._name] = self pass\",\n \"Version of the application that we are logging. start_date : datetime.datetime Date when\",\n \"# Unique name of the logger. self._name = name # Attributes describing the\",\n \"argument is used to define maximum size of output file. maxdays : int\",\n \"accessed by get item operation or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header\",\n \"to filter info records. debug : bool, optional The argument is used to\",\n \": pypyrus_logbook.output.Email The output email. Shortcut for `Logger.output.email`. html: pypyrus_logbook.output.HTML The output HTML\",\n \"that higher the break level will interrupt application execution. The default is 1.\",\n \"message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message, **kwargs) pass\",\n \"default is True. debug : bool, optional The argument is used to filter\",\n \"**kwargs): \\\"\\\"\\\"Send email message. Note that SMTP server connection must be configured. \\\"\\\"\\\"\",\n \"its execution. filters : dict Record types filters. To filter record type just\",\n \"during its execution. filters : dict Record types filters. To filter record type\",\n \"False self._count_errors = 0 # Complete the initial configuration. self.configure(app=app, desc=desc, version=version, status=status,\",\n \"directory is not None: path['dir'] = directory if filename is not None: path['name']\",\n \"style. Also method will send an alarm if alarming attribute is `True`, email\",\n \"exists. if hasattr(self, 'header') is False: self.header = Header(self) pass def write(self, record):\",\n \"path. path = {} if directory is not None: path['dir'] = directory if\",\n \"`rectypes` dictionary. format : str, optional The format of the error message. alarming\",\n \"not exists yet or just customize it. # Parameter format can be either\",\n \"__calculate_restart_date(self): \\\"\\\"\\\"Calculate the date when logger must be restarted according to maxdays parameter.\",\n \"value is False: getattr(self.root, key).close() # Customize output file path. path = {}\",\n \"None self.version = None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes\",\n \"file, 'email': email, 'html': html, 'table': table}.items(): if value is True: getattr(self.root, key).open()\",\n \"rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters ---------- rectype :\",\n \"rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the output.\\\"\\\"\\\" string =\",\n \"when current file must be closed and new one must be opened. \\\"\\\"\\\"\",\n \"output `email`. html : bool, optional The argument is used to open or\",\n \"this certain call. level : int The argument is used to describe the\",\n \"the output.\\\"\\\"\\\" self.error(message, rectype='warning', level=0, **kwargs) pass def critical(self, message=None, **kwargs): \\\"\\\"\\\"Send CRITICAL\",\n \"disable execution break in case on error. The default is True. maxsize :\",\n \"`formatter.error` string presentation. If `formatter.error` is set to `False` the exception will be\",\n \"0: self.root.file.configure(**path) # Customize SMTP server. if isinstance(smtp, dict) is True: self.root.email.configure(**smtp) #\",\n \"self.version = None # Some logger important attributes self._start_date = dt.datetime.now() self.rectypes =\",\n \"format : str, optional The argument is used to set record template. info\",\n \"not None: path['dir'] = directory if filename is not None: path['name'] = filename\",\n \"is False: self.filters = {} for key, value in {'info': info, 'debug': debug,\",\n \"configured. if self._control is True: if level >= self._maxlevel: sys.exit() if self._maxerrors is\",\n \"+ dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output file statistics to catch when\",\n \"but depends on available record types. All registered record types are stored in\",\n \"\\\"\\\"\\\"Print INFO message with OK.\\\"\\\"\\\" rectype = 'info' message = self.messages['ok'] self.record(rectype, message,\",\n \"self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status is True: self.root.file.new() if self.header.used is True:\",\n \"set record template. info : bool, optional The argument is used to filter\",\n \"dict) is True: self.root.table.configure(**db) # Create formatter in case it is not exists\",\n \"must be restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays))\",\n \"number of the blank lines that must be written. \\\"\\\"\\\" string = '\\\\n'*number\",\n \"define maximum number of days that will be logged to same file. maxlevel\",\n \"pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records. Parameters\",\n \"The argument is used to open or close output `email`. html : bool,\",\n \"each 00:00:00. maxlevel : int or bool, optional The argument is used to\",\n \"different inputs includeing system specifications, flag arguments, execution parameters, user parameters and environment\",\n \"self.formatter.length self.write(border + '\\\\n') pass def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the\",\n \"= self.root.table # Set exit function. atexit.register(self._exit) # Add creating logger to special\",\n \"of exeisting one then edit this dictinary. message : str The message that\",\n \"logged to same file. maxlevel : int or bool, optional The argument is\",\n \"if isinstance(alarming, bool) is True: self._alarming = alarming if isinstance(control, bool) is True:\",\n \"number of days that will be logged to same file. The default is\",\n \"error : bool, optional The argument is used to filter error records. critical\",\n \"hasattr(self, 'filters') is False: self.filters = {} for key, value in {'info': info,\",\n \"is 1 which means that new output file will be opened at each\",\n \"= os.path.abspath(f_code.co_filename) err_line = tb[1] err_obj = f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value,\",\n \"self.root.write(record) pass def record(self, rectype, message, error=False, **kwargs): \\\"\\\"\\\"Basic method to write records.\",\n \"filter error records. critical : bool, optional The argument is used to filter\",\n \"number of errors. The default is False which means it is disabled. Attributes\",\n \"bool)) is True: self._maxerrors = maxerrors if isinstance(alarming, bool) is True: self._alarming =\",\n \"parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def __check_file_stats(self): \\\"\\\"\\\"Check the output\",\n \"err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is False: exception = traceback.format_exception(err_type,\",\n \"If one of the limit triggers worked then application will be aborted. Parameters\",\n \"restart(self): \\\"\\\"\\\"Restart logging. Will open new file.\\\"\\\"\\\" self._start_date = dt.datetime.now() self.__calculate_restart_date() if self.root.file.status\",\n \"(int, float, bool)) is True: self._maxsize = maxsize if isinstance(maxdays, (int, float, bool))\",\n \"table}.items(): if value is True: getattr(self.root, key).open() if key == 'file': getattr(self.root, key).new()\",\n \"def bound(self, div=None, length=None): \\\"\\\"\\\"Write horizontal border in the output. Useful when need\",\n \"output `Root` object. console : pypyrus_logbook.output.Console The output `Console` object. Shortcut for `Logger.root.console`.\",\n \"pass def debug(self, message, **kwargs): \\\"\\\"\\\"Send DEBUG record to the output.\\\"\\\"\\\" rectype =\",\n \"value to False. root : pypyrus_logbook.output.Root The output `Root` object. console : pypyrus_logbook.output.Console\",\n \"of error according to `rectypes` dictionary. format : str, optional The format of\",\n \"status=True, console=True, file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True,\",\n \"file=True, email=False, html=False, table=False, directory=None, filename=None, extension=None, smtp=None, db=None, format=None, info=True, debug=False, warning=True,\",\n \"path = {} if directory is not None: path['dir'] = directory if filename\",\n \"inputs: user messages, traceback, frames, user parameters, execution arguments and systems descriptors. Each\",\n \"f_code.co_name self.record(rectype, message, error=True, err_name=err_name, err_value=err_value, err_file=err_file, err_line=err_line, err_obj=err_obj, **kwargs) elif format is\",\n \"is used to configure SMTP connection. db : dict, optional The argument is\",\n \"False: self.sysinfo = Sysinfo(self) # Initialize header instance when not exists. if hasattr(self,\",\n \"is used to open or close output `table`. directory : str, optional The\",\n \"The output table. Shortcut for `Logger.output.table`. formatter : pypyrus_logbook.formatter.Formatter Logger formatter which sets\",\n \"identify it. Main application logger will have the same name as a python\",\n \"self.configure(app=app, desc=desc, version=version, status=status, console=console, file=file, email=email, html=html, table=table, directory=directory, filename=filename, extension=extension, smtp=smtp,\",\n \"output `Console` object. Shortcut for `Logger.root.console`. file : pypyrus_logbook.output.File The output file. Shortcut\",\n \"is False: getattr(self.root, key).close() # Customize output file path. path = {} if\",\n \": Record The argument is used to send it to the output `root`.\",\n \": str The message that must be written. \\\"\\\"\\\" self.write(f'{message}\\\\n') pass def bound(self,\",\n \"point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that can be\",\n \"bool, optional The argument is used to define the break error level (WARNING\",\n \"'NONE', 'info': 'INFO', 'debug': 'DEBUG', 'warning': 'WARNING', 'error': 'ERROR', 'critical': 'CRITICAL'} self.messages =\",\n \"logging file folder. filename : str, optional The argument is used to set\",\n \"file extension. smtp : dict, optional The argument is used to configure SMTP\",\n \"def blank(self, number=1): \\\"\\\"\\\"Write blank lines in the output. Parameters ---------- number :\",\n \"debug : bool, optional The argument is used to filter debug records. The\",\n \"object \\\"{self._name}\\\">' __repr__ = __str__ @property def name(self): \\\"\\\"\\\"Unique logger name.\\\"\\\"\\\" return self._name\",\n \"to filter error records. The default is True. critical : bool, optional The\",\n \"maxsize if isinstance(maxdays, (int, float, bool)) is True: self._maxdays = maxdays self.__calculate_restart_date() if\",\n \"if alarming attribute is `True`, email output is enabled and SMTP server is\",\n \"str, optional The message that must be written instead of exception. rectype :\",\n \"header to the output.\\\"\\\"\\\" string = self.header.create() self.write(string) pass def subhead(self, string): \\\"\\\"\\\"Send\",\n \"Record types filters. To filter record type just set corresponding item value to\",\n \"argument is used to filter debug records. warning : bool, optional The argument\",\n \"restarted according to maxdays parameter. \\\"\\\"\\\" self.__restart_date = (self._start_date + dt.timedelta(days=self._maxdays)) pass def\",\n \"message that must be written. error : bool, optional If record is error\",\n \"Logger(): \\\"\\\"\\\"This class represents a single logger. Logger by it self is a\",\n \": int Number of errors that logger catched in the application during its\",\n \"critical}.items(): if isinstance(value, bool) is True: self.filters[key] = value # Customize limits and\",\n \"between two border lines to the output. Parameters ---------- string : str The\",\n \"If you wish to use own record type or change the presentaion of\",\n \"the output.\\\"\\\"\\\" self.error(message, rectype='critical', level=2, **kwargs) pass def head(self): \\\"\\\"\\\"Send header to the\",\n \"info records. The default is True. debug : bool, optional The argument is\",\n \"to filter debug records. The default is False. warning : bool, optional The\",\n \": int or bool, optional The argument is used to define the break\",\n \"critical : bool, optional The argument is used to filter critical records. The\",\n \"or by point like `sysinfo.desc['hostname']` or `sysinfo.desc.hostname`. header : pypyrus_logbook.header.Header The header that\",\n \"to open or close output `email`. html : bool, optional The argument is\",\n \"length etc. sysinfo : pypyrus_logbook.sysinfo.Sysinfo Special input object which parse different inputs includeing\"\n]","isConversational":false}}},{"rowIdx":780,"cells":{"ngram":{"kind":"list like","value":["its affiliates. All rights reserved. # This software is dual-licensed to you under","the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License","(UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at","# coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All","http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE =","Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as","License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown","(c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. # This software","reserved. # This software is dual-licensed to you under the Universal Permissive License","License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE =","and/or its affiliates. All rights reserved. # This software is dual-licensed to you","may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 *","Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. # This","software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as","1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0.","at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose","You may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10","This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0","either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE","as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 *","https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either","utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved.","as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You","or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.","1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE","under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache","shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may","you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or","coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights","dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at","shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 * 1024","license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE =","MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128","affiliates. All rights reserved. # This software is dual-licensed to you under the","= 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 *","at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE","to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl","All rights reserved. # This software is dual-licensed to you under the Universal","Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0","= 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 *","# This software is dual-licensed to you under the Universal Permissive License (UPL)","is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown","rights reserved. # This software is dual-licensed to you under the Universal Permissive","Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE","1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE =","* 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE","2016, 2020, Oracle and/or its affiliates. All rights reserved. # This software is","STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128","2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024","10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 * MEBIBYTE","# Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. #","choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE","Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to","2020, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed"],"string":"[\n \"its affiliates. All rights reserved. # This software is dual-licensed to you under\",\n \"the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License\",\n \"(UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at\",\n \"# coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All\",\n \"http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE =\",\n \"Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as\",\n \"License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown\",\n \"(c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. # This software\",\n \"reserved. # This software is dual-licensed to you under the Universal Permissive License\",\n \"License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE =\",\n \"and/or its affiliates. All rights reserved. # This software is dual-licensed to you\",\n \"may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 *\",\n \"Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. # This\",\n \"software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as\",\n \"1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0.\",\n \"at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose\",\n \"You may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10\",\n \"This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0\",\n \"either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE\",\n \"as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 *\",\n \"https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either\",\n \"utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved.\",\n \"as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You\",\n \"or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.\",\n \"1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE\",\n \"under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache\",\n \"shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may\",\n \"you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or\",\n \"coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights\",\n \"dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at\",\n \"shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 * 1024\",\n \"license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE =\",\n \"MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128\",\n \"affiliates. All rights reserved. # This software is dual-licensed to you under the\",\n \"= 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 *\",\n \"at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE\",\n \"to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl\",\n \"All rights reserved. # This software is dual-licensed to you under the Universal\",\n \"Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0\",\n \"= 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 *\",\n \"# This software is dual-licensed to you under the Universal Permissive License (UPL)\",\n \"is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown\",\n \"rights reserved. # This software is dual-licensed to you under the Universal Permissive\",\n \"Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE\",\n \"1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE =\",\n \"* 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE\",\n \"2016, 2020, Oracle and/or its affiliates. All rights reserved. # This software is\",\n \"STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128\",\n \"2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. MEBIBYTE = 1024\",\n \"10 * MEBIBYTE DEFAULT_PART_SIZE = 128 * MEBIBYTE OBJECT_USE_MULTIPART_SIZE = 128 * MEBIBYTE\",\n \"# Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. #\",\n \"choose either license. MEBIBYTE = 1024 * 1024 STREAMING_DEFAULT_PART_SIZE = 10 * MEBIBYTE\",\n \"Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to\",\n \"2020, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed\"\n]","isConversational":false}}},{"rowIdx":781,"cells":{"ngram":{"kind":"list like","value":["start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data -","{ 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except","'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError:","<filename>scraper/news/spiders/millardayo.py # Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider):","def parse(self, response, **kwargs): # extracting data - link, image, title, excerpt soup","'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page","soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link':","soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts:","parse(self, response, **kwargs): # extracting data - link, image, title, excerpt soup =","in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(),","yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', }","'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href')","'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title':","bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls =","post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass","} except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page,","class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ]","post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if","title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post","MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def","scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com']","= ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting","try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo',","post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page =","BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com',","data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li',","import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [","{'class': 'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'),","] def parse(self, response, **kwargs): # extracting data - link, image, title, excerpt","# Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name","= 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response,","except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page, callback=self.parse)","from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls","['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data","MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls","image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for","'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page:","'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield","[ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data - link, image,","link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'})","**kwargs): # extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml')","= soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'),","extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts =","for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'),","'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs):","'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data - link, image, title,","# extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts","BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield","'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield {","for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo'","import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls =","= BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try:","posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source':","post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next","post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt':","= [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data - link,","response, **kwargs): # extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body,","- link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class':","Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name =","name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self,","posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield { 'image_url':","'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a',","allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): #","excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in"],"string":"[\n \"start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data -\",\n \"{ 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except\",\n \"'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError:\",\n \"<filename>scraper/news/spiders/millardayo.py # Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider):\",\n \"def parse(self, response, **kwargs): # extracting data - link, image, title, excerpt soup\",\n \"'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page\",\n \"soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link':\",\n \"soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts:\",\n \"parse(self, response, **kwargs): # extracting data - link, image, title, excerpt soup =\",\n \"in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(),\",\n \"yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', }\",\n \"'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href')\",\n \"'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title':\",\n \"bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls =\",\n \"post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass\",\n \"} except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page,\",\n \"class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ]\",\n \"post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if\",\n \"title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post\",\n \"MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def\",\n \"scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com']\",\n \"= ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting\",\n \"try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo',\",\n \"post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page =\",\n \"BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com',\",\n \"data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li',\",\n \"import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [\",\n \"{'class': 'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'),\",\n \"] def parse(self, response, **kwargs): # extracting data - link, image, title, excerpt\",\n \"# Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name\",\n \"= 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response,\",\n \"except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield response.follow(next_page, callback=self.parse)\",\n \"from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls\",\n \"['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data\",\n \"MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls\",\n \"image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for\",\n \"'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page:\",\n \"'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next ›').get('href') if next_page: yield\",\n \"[ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data - link, image,\",\n \"link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'})\",\n \"**kwargs): # extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml')\",\n \"= soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield { 'image_url': post.find('img').get('src'),\",\n \"extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts =\",\n \"for post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'),\",\n \"'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs):\",\n \"'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data - link, image, title,\",\n \"# extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts\",\n \"BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield\",\n \"'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield {\",\n \"for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo'\",\n \"import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name = 'millardayo' allowed_urls =\",\n \"= BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try:\",\n \"posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source':\",\n \"post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a', text='Next\",\n \"post in posts: try: yield { 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt':\",\n \"= [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data - link,\",\n \"response, **kwargs): # extracting data - link, image, title, excerpt soup = BeautifulSoup(response.body,\",\n \"- link, image, title, excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class':\",\n \"Spider for MillardAyo.com import scrapy from bs4 import BeautifulSoup class MillardAyoSpider(scrapy.Spider): name =\",\n \"name = 'millardayo' allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self,\",\n \"posts = soup.find_all('li', {'class': 'infinite-post'}) for post in posts: try: yield { 'image_url':\",\n \"'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except AttributeError: pass next_page = soup.find('a',\",\n \"allowed_urls = ['www.millardayo.com'] start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): #\",\n \"excerpt soup = BeautifulSoup(response.body, 'lxml') posts = soup.find_all('li', {'class': 'infinite-post'}) for post in\"\n]","isConversational":false}}},{"rowIdx":782,"cells":{"ngram":{"kind":"list like","value":["from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from","KIND, either express or implied. # See the License for the specific language","apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor","Unless required by applicable law or agreed to in writing, software # distributed","apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability","logging import signal import sys import typing import grpc from past.builtins import unicode","The ASF licenses this file to You under the Apache License, Version 2.0","expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return","str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload()","beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii')","def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel'","under the License. # # pytype: skip-file from __future__ import absolute_import import argparse","\"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) =","the NOTICE file distributed with # this work for additional information regarding copyright","return p | beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib',","ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder","'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def","level): self._level = level def expand(self, p): if self._level <= 2: return p","License. # # pytype: skip-file from __future__ import absolute_import import argparse import logging","def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder()","return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'],","def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN,","return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes)","target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod","specific language governing permissions and # limitations under the License. # # pytype:","- 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context):","x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1':","= StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server","'-p', '--port', type=int, help='port on which to serve the job api') options =","at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause()","server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) #","def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls):","\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def","@ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def","ANY KIND, either express or implied. # See the License for the specific","@ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) |","service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on","import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import","def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context):","details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\"","| beam.Partition( lambda elem, n: 0 if elem % 2 == 0 else","unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return","unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte):","None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return","return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context):","pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self,","self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return","return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None)","expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod","payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k,","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame):","pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n: 0 if elem","work for additional information regarding copyright ownership. # The ASF licenses this file","s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):","class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return (","unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2","payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload,","return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None)","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform):","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN","col2 = pcoll | beam.Partition( lambda elem, n: 0 if elem % 2","elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def","payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items()","self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def","parser.add_argument( '-p', '--port', type=int, help='port on which to serve the job api') options","coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() }","return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None)","= \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN =","= logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN =","logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\"","None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):","pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self,","FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll |","% 2 == 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x:","| beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None","OF ANY KIND, either express or implied. # See the License for the","to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform()","\"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class","\"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup)","cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__ == '__main__':","1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'),","+ s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload,","x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter(","unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values()","ownership. # The ASF licenses this file to You under the Apache License,","p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p","def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to","element): (k, v) = element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll):","payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None)","serve the job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server(","\"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port)","regarding copyright ownership. # The ASF licenses this file to You under the","typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return","v) = element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll","pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side':","TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class","elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8'))","import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import","unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN,","= p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b =","language governing permissions and # limitations under the License. # # pytype: skip-file","import logging import signal import sys import typing import grpc from past.builtins import","down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int,","b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform):","from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level","beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level,","copyright ownership. # The ASF licenses this file to You under the Apache","return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod","None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int])","| 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p |","None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser =","if self._level <= 2: return p | beam.Create([1]) else: a = p |","\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def","bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p): if","k, v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down","apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api","# this work for additional information regarding copyright ownership. # The ASF licenses","| 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN,","software # distributed under the License is distributed on an \"AS IS\" BASIS,","= argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve the job","This script provides an expansion service and example ptransforms for running # external","def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem <=","= \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement()","def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):","ptransforms for running # external transform test cases. See external_test.py for details. _LOGGER","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level","__init__(self, level): self._level = level def expand(self, p): if self._level <= 2: return","\"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM,","expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor","beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument(","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context):","_LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN","# external transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN","self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda","beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] |","License, Version 2.0 # (the \"License\"); you may not use this file except","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults())","pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x","'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib',","grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for","%d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self,","def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda","required by applicable law or agreed to in writing, software # distributed under","= p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a,","return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii')","= \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN =","this file except in compliance with # the License. You may obtain a","applicable law or agreed to in writing, software # distributed under the License","'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton(","script provides an expansion service and example ptransforms for running # external transform",">> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() |","class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k,","class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context):","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self,","StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload","expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem <= target,","self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x","UnboundedThreadPoolExecutor # This script provides an expansion service and example ptransforms for running","or agreed to in writing, software # distributed under the License is distributed","'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class","v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int,","def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x))",">> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data':","expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod","CONDITIONS OF ANY KIND, either express or implied. # See the License for","TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count',","pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def","permissions and # limitations under the License. # # pytype: skip-file from __future__","unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload =","n: 0 if elem % 2 == 0 else 1, 2) typed_col1 =","from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from","unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return","pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context):","to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib',","writing, software # distributed under the License is distributed on an \"AS IS\"","v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ |","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class","# limitations under the License. # # pytype: skip-file from __future__ import absolute_import","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def","return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey()","import grpc from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as","GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context):","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def","return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None)","CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count',","= None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser","from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload):","s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def","{'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform):","self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform):","compliance with # the License. You may obtain a copy of the License","beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x:","unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k,","typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem,","NOTICE file distributed with # this work for additional information regarding copyright ownership.","TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform):","| combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder =","expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def","self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def","distributed with # this work for additional information regarding copyright ownership. # The","= \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return","== 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2","from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service and example","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform):","((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","import argparse import logging import signal import sys import typing import grpc from","payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level =","import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from","CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int)","beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'),","pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN,","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform):","License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p',","typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder","signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__ ==","s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x +","agreements. See the NOTICE file distributed with # this work for additional information","ASF licenses this file to You under the Apache License, Version 2.0 #","from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an","return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def","apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline","# # pytype: skip-file from __future__ import absolute_import import argparse import logging import","a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b","class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k, v['col1'] +","return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None)","2.0 # (the \"License\"); you may not use this file except in compliance","( pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self,","[(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll):","= col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int)","beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform(","argparse import logging import signal import sys import typing import grpc from past.builtins","TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class","| beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","Apache License, Version 2.0 # (the \"License\"); you may not use this file","def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x + s, self._payload)","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN =","typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def","to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform()","cleanup) # blocking main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO) main(sys.argv)","unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN,","return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload","= \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN =","def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self,","return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context):","return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int)","in compliance with # the License. You may obtain a copy of the","the job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer(","2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return","ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides","unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def","agreed to in writing, software # distributed under the License is distributed on","Foundation (ASF) under one or more # contributor license agreements. See the NOTICE","expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN,","file to You under the Apache License, Version 2.0 # (the \"License\"); you","= element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\","TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self,","unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self,","'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload =","| beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context):","int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):","unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes)","# Unless required by applicable law or agreed to in writing, software #","expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread","may not use this file except in compliance with # the License. You","by applicable law or agreed to in writing, software # distributed under the","FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k:","'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes)","apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service and example ptransforms","= level def expand(self, p): if self._level <= 2: return p | beam.Create([1])","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import","b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def","FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN,","PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self,","apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external","def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","self._payload = payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem,","process(self, element): (k, v) = element return [(k, v['col1'] + v['col2'])] def expand(self,","\"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\"","unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return","return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None)","2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda","None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten()","parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for","TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll):","# Licensed to the Apache Software Foundation (ASF) under one or more #","options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__","return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class","to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform()","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def","from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from","None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context):","CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def","more # contributor license agreements. See the NOTICE file distributed with # this","beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","License for the specific language governing permissions and # limitations under the License.","help='port on which to serve the job api') options = parser.parse_args() global server","@staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte)","return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter(","expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n: 0 if","Apache Software Foundation (ASF) under one or more # contributor license agreements. See","x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x","server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port))","x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None","to in writing, software # distributed under the License is distributed on an","to You under the Apache License, Version 2.0 # (the \"License\"); you may","= ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v","from __future__ import absolute_import import argparse import logging import signal import sys import","implied. # See the License for the specific language governing permissions and #","TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None)","skip-file from __future__ import absolute_import import argparse import logging import signal import sys","v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","# pytype: skip-file from __future__ import absolute_import import argparse import logging import signal","def process(self, element): (k, v) = element return [(k, v['col1'] + v['col2'])] def","the Apache License, Version 2.0 # (the \"License\"); you may not use this","@ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,","TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class","beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","= \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def","class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll","# # Licensed to the Apache Software Foundation (ASF) under one or more","| beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","import UnboundedThreadPoolExecutor # This script provides an expansion service and example ptransforms for","@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self,","\"License\"); you may not use this file except in compliance with # the","| beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side']","'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten()","main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve","expansion service and example ptransforms for running # external transform test cases. See","def __init__(self, payload): self._payload = payload def expand(self, pcoll): return ( pcoll |","import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def","unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element):","beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return (","x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll):","\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def","unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\","- 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level -","class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return","return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def","unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1,","= grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening","or implied. # See the License for the specific language governing permissions and","col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context):","import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from","payload): self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s:","payload): self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map(","def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None","# This script provides an expansion service and example ptransforms for running #","{ 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s,","unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn(","= payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target:","+ s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), }","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn):","return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None)","beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod","0 if elem % 2 == 0 else 1, 2) typed_col1 = col1","return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def","FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p): if self._level <=","p): if self._level <= 2: return p | beam.Create([1]) else: a = p","payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return {","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer())","'--port', type=int, help='port on which to serve the job api') options = parser.parse_args()","in writing, software # distributed under the License is distributed on an \"AS","return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ |","the Apache Software Foundation (ASF) under one or more # contributor license agreements.","@ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self,","def __init__(self, level): self._level = level def expand(self, p): if self._level <= 2:","_LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking","combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self,","the License. # # pytype: skip-file from __future__ import absolute_import import argparse import","in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.')","int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return","unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload","= \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN =","# See the License for the specific language governing permissions and # limitations","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","[\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d',","external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN","pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0]))))","0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 =","pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])),","to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform()","beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform","unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload","def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return","provides an expansion service and example ptransforms for running # external transform test","for running # external transform test cases. See external_test.py for details. _LOGGER =","ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service and","1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 |","\\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN,","TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class","to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform()","beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1,","_LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port',","| beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return","pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return","pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def","def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n: 0","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll):","beam.Partition( lambda elem, n: 0 if elem % 2 == 0 else 1,","'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return","you may not use this file except in compliance with # the License.","which to serve the job api') options = parser.parse_args() global server server =","class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p): if self._level","lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod","2 == 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int)","def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii'))","unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main':","import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import","combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc","x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode),","use this file except in compliance with # the License. You may obtain","pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return","return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter(","beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions","(pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode),","from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor #","unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","= col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self,","Software Foundation (ASF) under one or more # contributor license agreements. See the","| beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload',","<= 2: return p | beam.Create([1]) else: a = p | 'A' >>","{'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter(","on which to serve the job api') options = parser.parse_args() global server server","def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","= parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\",","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform):","ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in","FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return ( pcoll","def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]])","| beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0':","( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode)","PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service","= payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x:","elem, n: 0 if elem % 2 == 0 else 1, 2) typed_col1","= \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None)","x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def","__init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel' >>","2: return p | beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform(","CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self,","None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context):","beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","pcoll | beam.Partition( lambda elem, n: 0 if elem % 2 == 0","return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return {","expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib',","beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv):","payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x + s,","return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ |","for the specific language governing permissions and # limitations under the License. #","return ( pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def","x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def","unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload =","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the","import absolute_import import argparse import logging import signal import sys import typing import","| beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level -","# (the \"License\"); you may not use this file except in compliance with","if elem % 2 == 0 else 1, 2) typed_col1 = col1 |","def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None","@ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element","to serve the job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor())","test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN","@ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):","# # Unless required by applicable law or agreed to in writing, software","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform):","} server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def","express or implied. # See the License for the specific language governing permissions","except in compliance with # the License. You may obtain a copy of","unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() |","file distributed with # this work for additional information regarding copyright ownership. #","(ASF) under one or more # contributor license agreements. See the NOTICE file","the License. You may obtain a copy of the License at # #","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def","to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8'))","for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN =","either express or implied. # See the License for the specific language governing","return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x +","__future__ import absolute_import import argparse import logging import signal import sys import typing","ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class","__init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda x,","or more # contributor license agreements. See the NOTICE file distributed with #","(k, v) = element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return","| 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter(","external transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN =","def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder","PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","self._level <= 2: return p | beam.Create([1]) else: a = p | 'A'","unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 =","col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform):","def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii')))","server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start()","unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\","@ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey()","StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server =","unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data'])","parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve the","See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\"","beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self,","license agreements. See the NOTICE file distributed with # this work for additional","@ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,","__init__(self, payload): self._payload = payload def expand(self, pcoll): return ( pcoll | beam.Filter(","and example ptransforms for running # external transform test cases. See external_test.py for","apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms","| beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda","x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2}","x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod","licenses this file to You under the Apache License, Version 2.0 # (the","PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at","under the Apache License, Version 2.0 # (the \"License\"); you may not use","pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN,","import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import","unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |","# distributed under the License is distributed on an \"AS IS\" BASIS, #","'{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform,","TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class","Version 2.0 # (the \"License\"); you may not use this file except in","@ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition(","p | beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level","pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter(","pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve the job api')","beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion","p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b)","x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload,","unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return","'1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN,","return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq',","\"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\"",">> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel'","server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT,","to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform()","= pcoll | beam.Partition( lambda elem, n: 0 if elem % 2 ==","example ptransforms for running # external transform test cases. See external_test.py for details.","api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\",","pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None","s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def","<= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform,","an expansion service and example ptransforms for running # external transform test cases.","# contributor license agreements. See the NOTICE file distributed with # this work","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll):","pcoll): return pcoll | beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self,","\"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\" TEST_COMPK_URN = \"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\"","See the NOTICE file distributed with # this work for additional information regarding","class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() |","unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload):","None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def","| 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) |","col1, col2 = pcoll | beam.Partition( lambda elem, n: 0 if elem %","to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform()","| beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter(","expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer())","unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload =","expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests","pcoll | beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return","ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k, v['col1'] + v['col2'])]","with # the License. You may obtain a copy of the License at","def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return","signal import sys import typing import grpc from past.builtins import unicode import apache_beam","under one or more # contributor license agreements. See the NOTICE file distributed","past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders","lambda elem, n: 0 if elem % 2 == 0 else 1, 2)","beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return","def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser()","type=int, help='port on which to serve the job api') options = parser.parse_args() global","\"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def","} def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):","apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion","CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return","law or agreed to in writing, software # distributed under the License is","the License for the specific language governing permissions and # limitations under the","# the License. You may obtain a copy of the License at #","return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None",">> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >>","expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def","import signal import sys import typing import grpc from past.builtins import unicode import","typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll):","global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\", \"--sdk_location\", \"container\"])), server)","this file to You under the Apache License, Version 2.0 # (the \"License\");","not use this file except in compliance with # the License. You may","str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level","None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","import sys import typing import grpc from past.builtins import unicode import apache_beam as","You under the Apache License, Version 2.0 # (the \"License\"); you may not","| beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None","bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return","@beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return","def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload)","return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll","def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return","PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll |","return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN,","def expand(self, p): if self._level <= 2: return p | beam.Create([1]) else: a","server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup)","typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,","expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s:","elem % 2 == 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda","one or more # contributor license agreements. See the NOTICE file distributed with","unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll","import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import","| beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter(","= payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x +","class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return","\"beam:transforms:xlang:test:compk\" TEST_FLATTEN_URN = \"beam:transforms:xlang:test:flatten\" TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self,","to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform()","unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN,","'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B'","TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class","transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\"","return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None","limitations under the License. # # pytype: skip-file from __future__ import absolute_import import","class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self,","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","Licensed to the Apache Software Foundation (ASF) under one or more # contributor","PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n:","'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):","pytype: skip-file from __future__ import absolute_import import argparse import logging import signal import","beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN,","apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This","payload): self._payload = payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda","running # external transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__)","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform):","See the License for the specific language governing permissions and # limitations under","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from","return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def","pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import","x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def","TEST_PREFIX_URN = \"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v)","(the \"License\"); you may not use this file except in compliance with #","CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types(","import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script","@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def","for k, v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting","target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload,","for additional information regarding copyright ownership. # The ASF licenses this file to","from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from","server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which","import typing import grpc from past.builtins import unicode import apache_beam as beam import","grpc from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine","\"beam:transforms:xlang:test:prefix\" TEST_MULTI_URN = \"beam:transforms:xlang:test:multi\" TEST_GBK_URN = \"beam:transforms:xlang:test:gbk\" TEST_CGBK_URN = \"beam:transforms:xlang:test:cgbk\" TEST_COMGL_URN = \"beam:transforms:xlang:test:comgl\"","expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x + s, self._payload) def","pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod","'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder(","else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2","b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return","self._level = level def expand(self, p): if self._level <= 2: return p |","additional information regarding copyright ownership. # The ASF licenses this file to You","None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform):","contributor license agreements. See the NOTICE file distributed with # this work for","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self,","TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class","unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return","beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload()","signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO)","bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return","{ k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None def","for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main","payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload","absolute_import import argparse import logging import signal import sys import typing import grpc","unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN,","options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\"--experiments\", \"beam_fn_api\",","service and example ptransforms for running # external transform test cases. See external_test.py","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k, v['col1']","requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever.","TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class","governing permissions and # limitations under the License. # # pytype: skip-file from","@ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self,","| beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return","as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import","lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than',","unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self,","this work for additional information regarding copyright ownership. # The ASF licenses this","unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN,","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self,","MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >>","expand(self, p): if self._level <= 2: return p | beam.Create([1]) else: a =","to the Apache Software Foundation (ASF) under one or more # contributor license","return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload","k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None def cleanup(unused_signum,","sys import typing import grpc from past.builtins import unicode import apache_beam as beam","None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self,","with # this work for additional information regarding copyright ownership. # The ASF","the specific language governing permissions and # limitations under the License. # #","typing import grpc from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners","MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda","file except in compliance with # the License. You may obtain a copy","PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll |","information regarding copyright ownership. # The ASF licenses this file to You under","beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod","expand(self, pcoll): return pcoll \\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None","| beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,","x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,","payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem","unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN,","unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload',","apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2","and # limitations under the License. # # pytype: skip-file from __future__ import","@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self,","job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions(","level def expand(self, p): if self._level <= 2: return p | beam.Create([1]) else:","def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x,","to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def","from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload):","def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level):","element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\ |","from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from","FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def","def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self,","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll","'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port","typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x:","@ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode,","+ x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,","PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2'])","return pcoll | beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context):","TEST_PARTITION_URN = \"beam:transforms:xlang:test:partition\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |","+ v['col2'])] def expand(self, pcoll): return pcoll \\ | beam.CoGroupByKey() \\ | beam.ParDo(self.ConcatFn()).with_output_types(","pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform,","@ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p):","# The ASF licenses this file to You under the Apache License, Version"],"string":"[\n \"from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability\",\n \"logging import signal import sys import typing import grpc from past.builtins import unicode\",\n \"The ASF licenses this file to You under the Apache License, Version 2.0\",\n \"expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return\",\n \"str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload()\",\n \"beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii')\",\n \"def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel'\",\n \"under the License. # # pytype: skip-file from __future__ import absolute_import import argparse\",\n \"\\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) =\",\n \"the NOTICE file distributed with # this work for additional information regarding copyright\",\n \"return p | beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib',\",\n \"ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder\",\n \"'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def\",\n \"level): self._level = level def expand(self, p): if self._level <= 2: return p\",\n \"License. # # pytype: skip-file from __future__ import absolute_import import argparse import logging\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder()\",\n \"return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'],\",\n \"def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN,\",\n \"return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes)\",\n \"target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod\",\n \"specific language governing permissions and # limitations under the License. # # pytype:\",\n \"- 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context):\",\n \"x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1':\",\n \"= StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server\",\n \"'-p', '--port', type=int, help='port on which to serve the job api') options =\",\n \"at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause()\",\n \"server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) #\",\n \"def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls):\",\n \"\\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def\",\n \"@ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"@ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) |\",\n \"service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on\",\n \"import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import\",\n \"def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context):\",\n \"details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\"\",\n \"| beam.Partition( lambda elem, n: 0 if elem % 2 == 0 else\",\n \"unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte):\",\n \"None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return\",\n \"return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context):\",\n \"pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self,\",\n \"self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return\",\n \"return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None)\",\n \"expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod\",\n \"payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k,\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame):\",\n \"pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n: 0 if elem\",\n \"work for additional information regarding copyright ownership. # The ASF licenses this file\",\n \"s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):\",\n \"class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return (\",\n \"unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2\",\n \"payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload,\",\n \"return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None)\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform):\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN\",\n \"col2 = pcoll | beam.Partition( lambda elem, n: 0 if elem % 2\",\n \"elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def\",\n \"payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items()\",\n \"self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def\",\n \"parser.add_argument( '-p', '--port', type=int, help='port on which to serve the job api') options\",\n \"coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() }\",\n \"return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None)\",\n \"= \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN =\",\n \"= logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN =\",\n \"logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\"\",\n \"None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):\",\n \"pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self,\",\n \"FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll |\",\n \"% 2 == 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x:\",\n \"| beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform()\",\n \"\\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class\",\n \"\\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup)\",\n \"cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__ == '__main__':\",\n \"1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'),\",\n \"+ s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload,\",\n \"x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter(\",\n \"unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values()\",\n \"ownership. # The ASF licenses this file to You under the Apache License,\",\n \"p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p\",\n \"def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to\",\n \"element): (k, v) = element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll):\",\n \"payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None)\",\n \"serve the job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server(\",\n \"\\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port)\",\n \"regarding copyright ownership. # The ASF licenses this file to You under the\",\n \"typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return\",\n \"v) = element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll\",\n \"pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side':\",\n \"TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class\",\n \"elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8'))\",\n \"import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import\",\n \"unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN,\",\n \"= p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b =\",\n \"language governing permissions and # limitations under the License. # # pytype: skip-file\",\n \"import logging import signal import sys import typing import grpc from past.builtins import\",\n \"down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int,\",\n \"b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform):\",\n \"from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level\",\n \"beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level,\",\n \"copyright ownership. # The ASF licenses this file to You under the Apache\",\n \"return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod\",\n \"None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int])\",\n \"| 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p |\",\n \"None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser =\",\n \"if self._level <= 2: return p | beam.Create([1]) else: a = p |\",\n \"\\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def\",\n \"bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p): if\",\n \"k, v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down\",\n \"apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api\",\n \"# this work for additional information regarding copyright ownership. # The ASF licenses\",\n \"| 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN,\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"= argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve the job\",\n \"This script provides an expansion service and example ptransforms for running # external\",\n \"def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem <=\",\n \"= \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement()\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):\",\n \"ptransforms for running # external transform test cases. See external_test.py for details. _LOGGER\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level\",\n \"__init__(self, level): self._level = level def expand(self, p): if self._level <= 2: return\",\n \"\\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM,\",\n \"expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor\",\n \"beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument(\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context):\",\n \"_LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN\",\n \"# external transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN\",\n \"self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda\",\n \"beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] |\",\n \"License, Version 2.0 # (the \\\"License\\\"); you may not use this file except\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults())\",\n \"pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x\",\n \"'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib',\",\n \"grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for\",\n \"%d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self,\",\n \"def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"= p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a,\",\n \"return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii')\",\n \"= \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN =\",\n \"this file except in compliance with # the License. You may obtain a\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton(\",\n \"script provides an expansion service and example ptransforms for running # external transform\",\n \">> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() |\",\n \"class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k,\",\n \"class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context):\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self,\",\n \"StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload\",\n \"expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem <= target,\",\n \"self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x\",\n \"UnboundedThreadPoolExecutor # This script provides an expansion service and example ptransforms for running\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class\",\n \"v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int,\",\n \"def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x))\",\n \">> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data':\",\n \"expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count',\",\n \"pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def\",\n \"permissions and # limitations under the License. # # pytype: skip-file from __future__\",\n \"unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload =\",\n \"n: 0 if elem % 2 == 0 else 1, 2) typed_col1 =\",\n \"from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from\",\n \"unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context):\",\n \"to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib',\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ |\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class\",\n \"# limitations under the License. # # pytype: skip-file from __future__ import absolute_import\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def\",\n \"return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey()\",\n \"import grpc from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as\",\n \"GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context):\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def\",\n \"return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None)\",\n \"CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count',\",\n \"= None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser\",\n \"from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload):\",\n \"s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def\",\n \"{'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform):\",\n \"self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform):\",\n \"compliance with # the License. You may obtain a copy of the License\",\n \"beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x:\",\n \"unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k,\",\n \"typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem,\",\n \"NOTICE file distributed with # this work for additional information regarding copyright ownership.\",\n \"TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform):\",\n \"| combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder =\",\n \"expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def\",\n \"self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def\",\n \"distributed with # this work for additional information regarding copyright ownership. # The\",\n \"= \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"== 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2\",\n \"from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service and example\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform):\",\n \"((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"import argparse import logging import signal import sys import typing import grpc from\",\n \"payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level =\",\n \"import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from\",\n \"CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int)\",\n \"beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'),\",\n \"pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN,\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform):\",\n \"License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p',\",\n \"typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder\",\n \"signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__ ==\",\n \"s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x +\",\n \"agreements. See the NOTICE file distributed with # this work for additional information\",\n \"ASF licenses this file to You under the Apache License, Version 2.0 #\",\n \"from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an\",\n \"return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def\",\n \"apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline\",\n \"# # pytype: skip-file from __future__ import absolute_import import argparse import logging import\",\n \"a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b\",\n \"class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k, v['col1'] +\",\n \"return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None)\",\n \"2.0 # (the \\\"License\\\"); you may not use this file except in compliance\",\n \"( pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self,\",\n \"[(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"= col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int)\",\n \"beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform(\",\n \"argparse import logging import signal import sys import typing import grpc from past.builtins\",\n \"TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class\",\n \"| beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"Apache License, Version 2.0 # (the \\\"License\\\"); you may not use this file\",\n \"def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x + s, self._payload)\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN =\",\n \"typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def\",\n \"to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform()\",\n \"cleanup) # blocking main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO) main(sys.argv)\",\n \"unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN,\",\n \"return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload\",\n \"= \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN =\",\n \"def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self,\",\n \"return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context):\",\n \"return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int)\",\n \"in compliance with # the License. You may obtain a copy of the\",\n \"the job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer(\",\n \"2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return\",\n \"ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides\",\n \"unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"Foundation (ASF) under one or more # contributor license agreements. See the NOTICE\",\n \"expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN,\",\n \"file to You under the Apache License, Version 2.0 # (the \\\"License\\\"); you\",\n \"= element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\\",\n \"TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self,\",\n \"unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self,\",\n \"'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload =\",\n \"| beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context):\",\n \"int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context):\",\n \"unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes)\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread\",\n \"may not use this file except in compliance with # the License. You\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k:\",\n \"'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes)\",\n \"apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service and example ptransforms\",\n \"= level def expand(self, p): if self._level <= 2: return p | beam.Create([1])\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import\",\n \"b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def\",\n \"FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN,\",\n \"PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self,\",\n \"apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external\",\n \"def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"self._payload = payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem,\",\n \"process(self, element): (k, v) = element return [(k, v['col1'] + v['col2'])] def expand(self,\",\n \"\\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\"\",\n \"unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None)\",\n \"2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda\",\n \"None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten()\",\n \"parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for\",\n \"TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"# Licensed to the Apache Software Foundation (ASF) under one or more #\",\n \"options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__\",\n \"return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class\",\n \"to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform()\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def\",\n \"from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from\",\n \"None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context):\",\n \"CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def\",\n \"more # contributor license agreements. See the NOTICE file distributed with # this\",\n \"beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"help='port on which to serve the job api') options = parser.parse_args() global server\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte)\",\n \"return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter(\",\n \"expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n: 0 if\",\n \"Apache Software Foundation (ASF) under one or more # contributor license agreements. See\",\n \"x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x\",\n \"server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port))\",\n \"x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"to You under the Apache License, Version 2.0 # (the \\\"License\\\"); you may\",\n \"= ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v\",\n \"from __future__ import absolute_import import argparse import logging import signal import sys import\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None)\",\n \"skip-file from __future__ import absolute_import import argparse import logging import signal import sys\",\n \"v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"# pytype: skip-file from __future__ import absolute_import import argparse import logging import signal\",\n \"def process(self, element): (k, v) = element return [(k, v['col1'] + v['col2'])] def\",\n \"the Apache License, Version 2.0 # (the \\\"License\\\"); you may not use this\",\n \"@ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,\",\n \"TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class\",\n \"beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"= \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def\",\n \"class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll\",\n \"# # Licensed to the Apache Software Foundation (ASF) under one or more\",\n \"| beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"import UnboundedThreadPoolExecutor # This script provides an expansion service and example ptransforms for\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self,\",\n \"\\\"License\\\"); you may not use this file except in compliance with # the\",\n \"| beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side']\",\n \"'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten()\",\n \"main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve\",\n \"expansion service and example ptransforms for running # external transform test cases. See\",\n \"def __init__(self, payload): self._payload = payload def expand(self, pcoll): return ( pcoll |\",\n \"import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def\",\n \"unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element):\",\n \"beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return (\",\n \"x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"\\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def\",\n \"unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\\",\n \"- 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level -\",\n \"class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return\",\n \"return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def\",\n \"unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1,\",\n \"= grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context):\",\n \"import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from\",\n \"payload): self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s:\",\n \"payload): self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map(\",\n \"def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None\",\n \"# This script provides an expansion service and example ptransforms for running #\",\n \"{ 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s,\",\n \"unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn(\",\n \"= payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target:\",\n \"+ s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), }\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn):\",\n \"return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None)\",\n \"beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod\",\n \"0 if elem % 2 == 0 else 1, 2) typed_col1 = col1\",\n \"return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def\",\n \"FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p): if self._level <=\",\n \"p): if self._level <= 2: return p | beam.Create([1]) else: a = p\",\n \"payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return {\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer())\",\n \"'--port', type=int, help='port on which to serve the job api') options = parser.parse_args()\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ |\",\n \"the Apache Software Foundation (ASF) under one or more # contributor license agreements.\",\n \"@ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self,\",\n \"def __init__(self, level): self._level = level def expand(self, p): if self._level <= 2:\",\n \"_LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking\",\n \"combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self,\",\n \"the License. # # pytype: skip-file from __future__ import absolute_import import argparse import\",\n \"in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.')\",\n \"int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return\",\n \"unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload\",\n \"= \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN =\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"[\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d',\",\n \"external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN\",\n \"pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0]))))\",\n \"0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 =\",\n \"pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])),\",\n \"to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform()\",\n \"beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform\",\n \"unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload\",\n \"def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return\",\n \"provides an expansion service and example ptransforms for running # external transform test\",\n \"for running # external transform test cases. See external_test.py for details. _LOGGER =\",\n \"ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion service and\",\n \"1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 |\",\n \"\\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN,\",\n \"TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class\",\n \"to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform()\",\n \"beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1,\",\n \"_LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port',\",\n \"| beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return\",\n \"pcoll | 'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return\",\n \"pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def\",\n \"def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n: 0\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"beam.Partition( lambda elem, n: 0 if elem % 2 == 0 else 1,\",\n \"'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return\",\n \"you may not use this file except in compliance with # the License.\",\n \"which to serve the job api') options = parser.parse_args() global server server =\",\n \"class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p): if self._level\",\n \"lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod\",\n \"2 == 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int)\",\n \"def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii'))\",\n \"unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main':\",\n \"import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import\",\n \"combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc\",\n \"x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode),\",\n \"use this file except in compliance with # the License. You may obtain\",\n \"pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return\",\n \"return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter(\",\n \"beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions\",\n \"(pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode),\",\n \"from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor #\",\n \"unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"= col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self,\",\n \"Software Foundation (ASF) under one or more # contributor license agreements. See the\",\n \"| beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload',\",\n \"<= 2: return p | beam.Create([1]) else: a = p | 'A' >>\",\n \"{'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter(\",\n \"on which to serve the job api') options = parser.parse_args() global server server\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"= parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\",\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform):\",\n \"ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in\",\n \"FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return ( pcoll\",\n \"def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]])\",\n \"| beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0':\",\n \"( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode)\",\n \"PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service\",\n \"= payload def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.Map( lambda x:\",\n \"elem, n: 0 if elem % 2 == 0 else 1, 2) typed_col1\",\n \"= \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None)\",\n \"x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def\",\n \"__init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | 'TestLabel' >>\",\n \"2: return p | beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform(\",\n \"CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self,\",\n \"None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context):\",\n \"beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"pcoll | beam.Partition( lambda elem, n: 0 if elem % 2 == 0\",\n \"return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return {\",\n \"expansion_service.ExpansionServiceServicer()) return ((a, b) | beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib',\",\n \"beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv):\",\n \"payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x + s,\",\n \"return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ |\",\n \"for the specific language governing permissions and # limitations under the License. #\",\n \"return ( pcoll | beam.Filter( lambda elem, target: elem <= target, int(ord(self._payload[0])))) def\",\n \"x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def\",\n \"unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload =\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \"import absolute_import import argparse import logging import signal import sys import typing import\",\n \"| beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level -\",\n \"# (the \\\"License\\\"); you may not use this file except in compliance with\",\n \"if elem % 2 == 0 else 1, 2) typed_col1 = col1 |\",\n \"def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None\",\n \"@ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element\",\n \"to serve the job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor())\",\n \"test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN\",\n \"@ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform):\",\n \"} server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"except in compliance with # the License. You may obtain a copy of\",\n \"unused_context): return CombinePerKeyTransform() @ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() |\",\n \"file distributed with # this work for additional information regarding copyright ownership. #\",\n \"(ASF) under one or more # contributor license agreements. See the NOTICE file\",\n \"the License. You may obtain a copy of the License at # #\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def\",\n \"to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8'))\",\n \"for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN =\",\n \"either express or implied. # See the License for the specific language governing\",\n \"return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s: x +\",\n \"__future__ import absolute_import import argparse import logging import signal import sys import typing\",\n \"ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class\",\n \"__init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll | beam.Map(lambda x,\",\n \"or more # contributor license agreements. See the NOTICE file distributed with #\",\n \"(k, v) = element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return\",\n \"| 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter(\",\n \"external transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN =\",\n \"def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder\",\n \"PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"self._level <= 2: return p | beam.Create([1]) else: a = p | 'A'\",\n \"unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 =\",\n \"col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform):\",\n \"def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii')))\",\n \"server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start()\",\n \"unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\\",\n \"@ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey()\",\n \"StrUtf8Coder() return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server =\",\n \"unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data'])\",\n \"parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve the\",\n \"See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\"\",\n \"beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self,\",\n \"license agreements. See the NOTICE file distributed with # this work for additional\",\n \"@ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self,\",\n \"__init__(self, payload): self._payload = payload def expand(self, pcoll): return ( pcoll | beam.Filter(\",\n \"and example ptransforms for running # external transform test cases. See external_test.py for\",\n \"apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms\",\n \"| beam.Map(lambda x, s: x + s, beam.pvalue.AsSingleton( pcolls['side'])).with_output_types(unicode), 'side': pcolls['side'] | beam.Map(lambda\",\n \"x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2}\",\n \"x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod\",\n \"licenses this file to You under the Apache License, Version 2.0 # (the\",\n \"PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at\",\n \"under the Apache License, Version 2.0 # (the \\\"License\\\"); you may not use\",\n \"pcolls['side'] | beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN,\",\n \"import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import\",\n \"unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"'{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class\",\n \"Version 2.0 # (the \\\"License\\\"); you may not use this file except in\",\n \"@ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition(\",\n \"p | beam.Create([1]) else: a = p | 'A' >> beam.ExternalTransform( 'fib', str(self._level\",\n \"pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter(\",\n \"pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which to serve the job api')\",\n \"beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion\",\n \"p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b)\",\n \"x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload,\",\n \"unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return\",\n \"'1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN,\",\n \"return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq',\",\n \"\\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\"\",\n \">> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel'\",\n \"server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT,\",\n \"to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform()\",\n \"= pcoll | beam.Partition( lambda elem, n: 0 if elem % 2 ==\",\n \"example ptransforms for running # external transform test cases. See external_test.py for details.\",\n \"api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\",\",\n \"pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None\",\n \"s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def\",\n \"<= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"an expansion service and example ptransforms for running # external transform test cases.\",\n \"# contributor license agreements. See the NOTICE file distributed with # this work\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"pcoll): return pcoll | beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self,\",\n \"\\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\" TEST_COMPK_URN = \\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\"\",\n \"See the NOTICE file distributed with # this work for additional information regarding\",\n \"class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() |\",\n \"unused_ptransform, unused_parameter, unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload):\",\n \"None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def\",\n \"| 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return ((a, b) |\",\n \"col1, col2 = pcoll | beam.Partition( lambda elem, n: 0 if elem %\",\n \"to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform()\",\n \"| beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter(\",\n \"expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer())\",\n \"unused_context): return CountPerElementTransform() @ptransform.PTransform.register_urn( 'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload =\",\n \"expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server) server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests\",\n \"pcoll | beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context): return\",\n \"ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k, v['col1'] + v['col2'])]\",\n \"with # the License. You may obtain a copy of the License at\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return\",\n \"signal import sys import typing import grpc from past.builtins import unicode import apache_beam\",\n \"under one or more # contributor license agreements. See the NOTICE file distributed\",\n \"past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine from apache_beam.coders\",\n \"lambda elem, n: 0 if elem % 2 == 0 else 1, 2)\",\n \"beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return\",\n \"def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting down expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser()\",\n \"type=int, help='port on which to serve the job api') options = parser.parse_args() global\",\n \"\\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def\",\n \"} def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context):\",\n \"apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script provides an expansion\",\n \"CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"# the License. You may obtain a copy of the License at #\",\n \"return { k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None\",\n \">> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >>\",\n \"expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def\",\n \"import signal import sys import typing import grpc from past.builtins import unicode import\",\n \"typed_col2 = col2 | beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll):\",\n \"global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\", \\\"--sdk_location\\\", \\\"container\\\"])), server)\",\n \"this file to You under the Apache License, Version 2.0 # (the \\\"License\\\");\",\n \"not use this file except in compliance with # the License. You may\",\n \"str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level\",\n \"None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"import sys import typing import grpc from past.builtins import unicode import apache_beam as\",\n \"You under the Apache License, Version 2.0 # (the \\\"License\\\"); you may not\",\n \"| beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None\",\n \"bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return\",\n \"@beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return\",\n \"def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return { k: coder.decode_nested(v.payload)\",\n \"return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN, None) class PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll\",\n \"def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return\",\n \"PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll |\",\n \"return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN,\",\n \"def expand(self, p): if self._level <= 2: return p | beam.Create([1]) else: a\",\n \"server.add_insecure_port('localhost:{}'.format(options.port)) server.start() _LOGGER.info('Listening for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup)\",\n \"typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter,\",\n \"expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x, s:\",\n \"elem % 2 == 0 else 1, 2) typed_col1 = col1 | beam.Map(lambda\",\n \"one or more # contributor license agreements. See the NOTICE file distributed with\",\n \"unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll\",\n \"import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import\",\n \"| beam.ParDo(self.ConcatFn()).with_output_types( typing.Tuple[int, typing.Iterable[unicode]]) def to_runner_api_parameter(self, unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter(\",\n \"= payload def expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x +\",\n \"class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return\",\n \"\\\"beam:transforms:xlang:test:compk\\\" TEST_FLATTEN_URN = \\\"beam:transforms:xlang:test:flatten\\\" TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self,\",\n \"to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombinePerKeyTransform()\",\n \"unused_context): return TEST_FLATTEN_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return FlattenTransform() @ptransform.PTransform.register_urn(TEST_PARTITION_URN,\",\n \"'A' >> beam.ExternalTransform( 'fib', str(self._level - 1).encode('ascii'), expansion_service.ExpansionServiceServicer()) b = p | 'B'\",\n \"TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class\",\n \"transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__) TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\"\",\n \"return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode, int]) def to_runner_api_parameter(self, unused_context): return TEST_COMPK_URN, None\",\n \"limitations under the License. # # pytype: skip-file from __future__ import absolute_import import\",\n \"class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self,\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"Licensed to the Apache Software Foundation (ASF) under one or more # contributor\",\n \"PartitionTransform(ptransform.PTransform): def expand(self, pcoll): col1, col2 = pcoll | beam.Partition( lambda elem, n:\",\n \"'beam:transforms:xlang:filter_less_than_eq', bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll):\",\n \"pytype: skip-file from __future__ import absolute_import import argparse import logging import signal import\",\n \"beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return TEST_PARTITION_URN,\",\n \"apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This\",\n \"payload): self._payload = payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda\",\n \"running # external transform test cases. See external_test.py for details. _LOGGER = logging.getLogger(__name__)\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform):\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from\",\n \"return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def\",\n \"pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_FLATTEN_URN, None @staticmethod def\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"as beam import apache_beam.transforms.combiners as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import\",\n \"x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload() @staticmethod def\",\n \"TEST_PREFIX_URN = \\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"return GBKTransform() @ptransform.PTransform.register_urn(TEST_CGBK_URN, None) class CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v)\",\n \"(the \\\"License\\\"); you may not use this file except in compliance with #\",\n \"CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types(\",\n \"import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from apache_beam.utils.thread_pool_executor import UnboundedThreadPoolExecutor # This script\",\n \"@staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def\",\n \"for k, v in payload.configuration.items() } server = None def cleanup(unused_signum, unused_frame): _LOGGER.info('Shutting\",\n \"target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload,\",\n \"for additional information regarding copyright ownership. # The ASF licenses this file to\",\n \"from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from\",\n \"server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port on which\",\n \"import typing import grpc from past.builtins import unicode import apache_beam as beam import\",\n \"grpc from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners as combine\",\n \"\\\"beam:transforms:xlang:test:prefix\\\" TEST_MULTI_URN = \\\"beam:transforms:xlang:test:multi\\\" TEST_GBK_URN = \\\"beam:transforms:xlang:test:gbk\\\" TEST_CGBK_URN = \\\"beam:transforms:xlang:test:cgbk\\\" TEST_COMGL_URN = \\\"beam:transforms:xlang:test:comgl\\\"\",\n \"expand(self, pcoll): return pcoll | beam.Map(lambda x, s: x + s, self._payload) def\",\n \"pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None @staticmethod\",\n \"'TestLabel' >> beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder(\",\n \"else 1, 2) typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2\",\n \"b = p | 'B' >> beam.ExternalTransform( 'fib', str(self._level - 2).encode('ascii'), expansion_service.ExpansionServiceServicer()) return\",\n \"self._level = level def expand(self, p): if self._level <= 2: return p |\",\n \"additional information regarding copyright ownership. # The ASF licenses this file to You\",\n \"None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform):\",\n \"contributor license agreements. See the NOTICE file distributed with # this work for\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class CombineGloballyTransform(ptransform.PTransform): def expand(self,\",\n \"TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class\",\n \"unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload = ExternalConfigurationPayload() payload.ParseFromString(input_byte) coder = StrUtf8Coder() return\",\n \"beam.Map( lambda x: '{}{}'.format(self._payload, x)) def to_runner_api_parameter(self, unused_context): return TEST_PREFIX_URN, ImplicitSchemaPayloadBuilder( {'data': self._payload}).payload()\",\n \"signal.signal(signal.SIGINT, cleanup) # blocking main thread forever. signal.pause() if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO)\",\n \"bytes) class FilterLessThanTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return\",\n \"{ k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None def\",\n \"for expansion requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main\",\n \"payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload\",\n \"absolute_import import argparse import logging import signal import sys import typing import grpc\",\n \"unused_context): return TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN,\",\n \"options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions( [\\\"--experiments\\\", \\\"beam_fn_api\\\",\",\n \"service and example ptransforms for running # external transform test cases. See external_test.py\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"CoGBKTransform(ptransform.PTransform): class ConcatFn(beam.DoFn): def process(self, element): (k, v) = element return [(k, v['col1']\",\n \"requests at %d', options.port) signal.signal(signal.SIGTERM, cleanup) signal.signal(signal.SIGINT, cleanup) # blocking main thread forever.\",\n \"TEST_CGBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CoGBKTransform() @ptransform.PTransform.register_urn(TEST_COMGL_URN, None) class\",\n \"governing permissions and # limitations under the License. # # pytype: skip-file from\",\n \"@ptransform.PTransform.register_urn(TEST_FLATTEN_URN, None) class FlattenTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll.values() | beam.Flatten().with_output_types(int) def to_runner_api_parameter(self,\",\n \"| beam.Map(lambda x: x).with_output_types(int) return {'0': typed_col1, '1': typed_col2} def to_runner_api_parameter(self, unused_context): return\",\n \"as combine from apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import\",\n \"lambda elem, target: elem <= target, int(ord(self._payload[0])))) def to_runner_api_parameter(self, unused_context): return ( 'beam:transforms:xlang:filter_less_than',\",\n \"unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self,\",\n \"this work for additional information regarding copyright ownership. # The ASF licenses this\",\n \"unused_context): return TEST_COMGL_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return CombineGloballyTransform() @ptransform.PTransform.register_urn(TEST_COMPK_URN,\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self,\",\n \"MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll | 'TestLabel' >>\",\n \"expand(self, p): if self._level <= 2: return p | beam.Create([1]) else: a =\",\n \"to the Apache Software Foundation (ASF) under one or more # contributor license\",\n \"return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def parse_string_payload(input_byte): payload\",\n \"k: coder.decode_nested(v.payload) for k, v in payload.configuration.items() } server = None def cleanup(unused_signum,\",\n \"sys import typing import grpc from past.builtins import unicode import apache_beam as beam\",\n \"None) class CombineGloballyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self,\",\n \"with # this work for additional information regarding copyright ownership. # The ASF\",\n \"the specific language governing permissions and # limitations under the License. # #\",\n \"typing import grpc from past.builtins import unicode import apache_beam as beam import apache_beam.transforms.combiners\",\n \"MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda\",\n \"file except in compliance with # the License. You may obtain a copy\",\n \"PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll |\",\n \"information regarding copyright ownership. # The ASF licenses this file to You under\",\n \"beam.Map(lambda x: x + x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod\",\n \"expand(self, pcoll): return pcoll \\\\ | beam.CombineGlobally(sum).with_output_types(int) def to_runner_api_parameter(self, unused_context): return TEST_COMGL_URN, None\",\n \"| beam.Flatten() | beam.CombineGlobally(sum).without_defaults()) def to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"x + s, self._payload) def to_runner_api_parameter(self, unused_context): return b'payload', self._payload.encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform,\",\n \"payload def expand(self, pcoll): return ( pcoll | beam.Filter( lambda elem, target: elem\",\n \"unused_context): return ( 'beam:transforms:xlang:filter_less_than', self._payload.encode('utf8')) @staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN,\",\n \"unused_context): return TEST_PARTITION_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload',\",\n \"apache_beam.coders import StrUtf8Coder from apache_beam.pipeline import PipelineOptions from apache_beam.portability.api import beam_expansion_api_pb2_grpc from apache_beam.portability.api.external_transforms_pb2\",\n \"and # limitations under the License. # # pytype: skip-file from __future__ import\",\n \"@staticmethod def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self,\",\n \"job api') options = parser.parse_args() global server server = grpc.server(UnboundedThreadPoolExecutor()) beam_expansion_api_pb2_grpc.add_ExpansionServiceServicer_to_server( expansion_service.ExpansionServiceServicer( PipelineOptions(\",\n \"level def expand(self, p): if self._level <= 2: return p | beam.Create([1]) else:\",\n \"def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2']) | beam.Flatten() | beam.Map(lambda x,\",\n \"to_runner_api_parameter(self, unused_context): return 'fib', str(self._level).encode('ascii') @staticmethod def from_runner_api_parameter(unused_ptransform, level, unused_context): return FibTransform(int(level.decode('ascii'))) def\",\n \"from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return PartitionTransform() @ptransform.PTransform.register_urn('payload', bytes) class PayloadTransform(ptransform.PTransform): def __init__(self, payload):\",\n \"def from_runner_api_parameter(unused_ptransform, payload, unused_context): return PayloadTransform(payload.decode('ascii')) @ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level):\",\n \"element return [(k, v['col1'] + v['col2'])] def expand(self, pcoll): return pcoll \\\\ |\",\n \"from apache_beam.portability.api.external_transforms_pb2 import ExternalConfigurationPayload from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from\",\n \"FilterLessThanTransform(payload.decode('utf8')) @ptransform.PTransform.register_urn(TEST_PREFIX_URN, None) @beam.typehints.with_output_types(unicode) class PrefixTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def\",\n \"def from_runner_api_parameter( unused_ptransform, unused_parameter, unused_context): return MutltiTransform() @ptransform.PTransform.register_urn(TEST_GBK_URN, None) class GBKTransform(ptransform.PTransform): def expand(self,\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"class PayloadTransform(ptransform.PTransform): def __init__(self, payload): self._payload = payload def expand(self, pcoll): return pcoll\",\n \"'TestLabel' >> beam.GroupByKey() def to_runner_api_parameter(self, unused_context): return TEST_GBK_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"expansion service.') server.stop(None) def main(unused_argv): parser = argparse.ArgumentParser() parser.add_argument( '-p', '--port', type=int, help='port\",\n \"typed_col1 = col1 | beam.Map(lambda x: x).with_output_types(int) typed_col2 = col2 | beam.Map(lambda x:\",\n \"@ptransform.PTransform.register_urn(TEST_COMPK_URN, None) class CombinePerKeyTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll \\\\ | beam.CombinePerKey(sum).with_output_types( typing.Tuple[unicode,\",\n \"+ x).with_output_types(unicode), } def to_runner_api_parameter(self, unused_context): return TEST_MULTI_URN, None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"PrefixTransform(parse_string_payload(payload)['data']) @ptransform.PTransform.register_urn(TEST_MULTI_URN, None) class MutltiTransform(ptransform.PTransform): def expand(self, pcolls): return { 'main': (pcolls['main1'], pcolls['main2'])\",\n \"return pcoll | beam.Map(lambda x, s: x + s, self._payload) def to_runner_api_parameter(self, unused_context):\",\n \"TEST_PARTITION_URN = \\\"beam:transforms:xlang:test:partition\\\" @ptransform.PTransform.register_urn('beam:transforms:xlang:count', None) class CountPerElementTransform(ptransform.PTransform): def expand(self, pcoll): return pcoll |\",\n \"+ v['col2'])] def expand(self, pcoll): return pcoll \\\\ | beam.CoGroupByKey() \\\\ | beam.ParDo(self.ConcatFn()).with_output_types(\",\n \"pcoll | combine.Count.PerElement() def to_runner_api_parameter(self, unused_context): return 'beam:transforms:xlang:count', None @staticmethod def from_runner_api_parameter( unused_ptransform,\",\n \"@ptransform.PTransform.register_urn('fib', bytes) class FibTransform(ptransform.PTransform): def __init__(self, level): self._level = level def expand(self, p):\",\n \"# The ASF licenses this file to You under the Apache License, Version\"\n]","isConversational":false}}},{"rowIdx":783,"cells":{"ngram":{"kind":"list like","value":["from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI))","sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session = scoped_session(Session)","create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI","from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session","import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False,","import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session =","import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import","sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings","from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from","<reponame>RunnerPro/RunnerProApi from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker","scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False,","sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session =","sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session"],"string":"[\n \"from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI))\",\n \"sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session = scoped_session(Session)\",\n \"create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI\",\n \"from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session\",\n \"import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False,\",\n \"import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session =\",\n \"import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import\",\n \"sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings\",\n \"from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from\",\n \"<reponame>RunnerPro/RunnerProApi from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker\",\n \"scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False,\",\n \"sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session =\",\n \"sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session\"\n]","isConversational":false}}},{"rowIdx":784,"cells":{"ngram":{"kind":"list like","value":["capability of a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major","was specified or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to your","distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY","proc.returncode != 0: msg = code msg += \"\\nCompilation error:\\n\" msg += py_str(out)","subprocess import os import warnings import tvm._ffi from tvm.runtime import ndarray as nd","import os import warnings import tvm._ffi from tvm.runtime import ndarray as nd from","require nvcc is configured # correctly by default. # if cxx_compiler_path != \"\":","Returns ------- compute_version : str compute capability of a GPU (e.g. \"8.0\") \"\"\"","permissions and limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke","\"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)","11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if","License for the # specific language governing permissions and limitations # under the","tvm._ffi from tvm.runtime import ndarray as nd from . import utils from .._ffi.base","except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to","AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major +","be str or list of str\") cmd += [\"-o\", file_target] cmd += [temp_code]","return False def have_int8(compute_version): \"\"\"Either int8 support is provided in the compute capability","str The architecture options : str or list of str The additional options","compute capability of compilation target. Looks for the arch in three different places,","(ASF) under one # or more contributor license agreements. See the NOTICE file","cuda path Returns ------- path : str Path to cuda root. \"\"\" if","Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path)","= code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data =","if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU detected.\"","find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch):","of str\") cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option","Compute version will be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version","raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect it from env\") file_target","major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as","str Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd","can be used to tell nvcc where to find the c++ compiler #","The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu",": tvm.target.Target, optional The compilation target Returns ------- compute_version : str compute capability","warnings.warn( \"No CUDA architecture was specified or GPU detected.\" \"Try specifying it by","to tell nvcc where to find the c++ compiler # just in case","or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\" )","compute_version : str compute capability of a GPU (e.g. \"8.0\") \"\"\" major, _","if not data: raise RuntimeError(\"Compilation error: empty result is generated\") return data def","[f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise","if major >= 6: return True return False def have_int8(compute_version): \"\"\"Either int8 support","if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor #","!= 0: msg = code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise","software distributed under the License is distributed on an # \"AS IS\" BASIS,","\"\"\"Utility function to find cuda path Returns ------- path : str Path to","capability of a GPU (e.g. \"8.0\") \"\"\" # 1. Target if target: if","capability or not Parameters ---------- compute_version: str compute capability of a GPU (e.g.","minor = parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if","in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\")","return True return False def have_int8(compute_version): \"\"\"Either int8 support is provided in the","of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target, will","is hard to do runtime compiler detection, we require nvcc is configured #","cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)","def find_cuda_path(): \"\"\"Utility function to find cuda path Returns ------- path : str","compilation target Returns ------- compute_version : str compute capability of a GPU (e.g.",">= 6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is","target is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled","\"release\" in l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version = [f[1:]","bytearray of the cubin \"\"\" temp = utils.tempdir() if target not in [\"cubin\",","is generated\") return data def find_cuda_path(): \"\"\"Utility function to find cuda path Returns","adding '-arch=sm_xx' to your target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute","compute capability of a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if","str Path to cuda root. Returns ------- version : float The cuda version","from tvm.runtime import ndarray as nd from . import utils from .._ffi.base import","11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"):","The bytearray of the cubin \"\"\" temp = utils.tempdir() if target not in","then the global scope, and finally the GPU device (if it exists). Parameters","return major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute","return data def find_cuda_path(): \"\"\"Utility function to find cuda path Returns ------- path","nd.gpu(0).exist: # auto detect the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\"))","capability or not Parameters ---------- compute_version : str, optional compute capability of a","RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute","return True if major >= 6: return True return False def have_int8(compute_version): \"\"\"Either","str compute capability of a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version)","parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in","= [s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for f in release_fields","optional The compilation target Returns ------- compute_version : str compute capability of a","error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the","path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver =","under the License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES","return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation target.","additional information # regarding copyright ownership. The ASF licenses this file # to","cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd += arch else:","scope, and finally the GPU device (if it exists). Parameters ---------- target :","# \"License\"); you may not use this file except in compliance # with","<filename>python/tvm/contrib/nvcc.py # Licensed to the Apache Software Foundation (ASF) under one # or","+ \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect it","= path_target if path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" %","\"\"\"Utility to invoke nvcc compiler in the system\"\"\" from __future__ import absolute_import as","+= arch else: cmd += [\"-arch\", arch] if options: if isinstance(options, str): cmd","# However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it","compute_version : str compute capability of a GPU (e.g. \"6.0\") Returns ------- major","Licensed to the Apache Software Foundation (ASF) under one # or more contributor","int major version number minor : int minor version number \"\"\" split_ver =","disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16","= temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is","raise RuntimeError(\"Compilation error: empty result is generated\") return data def find_cuda_path(): \"\"\"Utility function","auto detect the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise","def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver","optional The compilation target, will be used to determine arch if compute_version isn't","or more contributor license agreements. See the NOTICE file # distributed with this","import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC","cmd += [\"-arch\", arch] if options: if isinstance(options, str): cmd += [options] elif","---------- arch : int The compute architecture in int Returns ------- path :","if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch:","minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was","---------- compute_version: str compute capability of a GPU (e.g. \"6.0\") \"\"\" major, minor","3: return True if major >= 6: return True return False def have_int8(compute_version):","Because it is hard to do runtime compiler detection, we require nvcc is","if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd += options else:","f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\",","OR CONDITIONS OF ANY # KIND, either express or implied. See the License","Foundation (ASF) under one # or more contributor license agreements. See the NOTICE","+= \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if","selected_ver < ver <= arch: selected_ver = ver selected_path = fn if selected_path","GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\" ) return","target, will be used to determine arch if compute_version isn't specified. \"\"\" if","Apache Software Foundation (ASF) under one # or more contributor license agreements. See","path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if","configured # correctly by default. # if cxx_compiler_path != \"\": # cmd +=","your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide","compute_version isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version","the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\" +","\"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"]","if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,","\"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\")","disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor","GPU device (if it exists). Parameters ---------- target : tvm.target.Target, optional The compilation","path_target if path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target,","if path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"]","RuntimeError(\"Compilation error: empty result is generated\") return data def find_cuda_path(): \"\"\"Utility function to","where to find the c++ compiler # just in case it is not","if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver","compute_version.split(\"_\")[1] return major + \".\" + minor # 2. Global scope from tvm.autotvm.env","is provided in the compute capability or not Parameters ---------- compute_version: str compute","from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code","< ver <= arch: selected_ver = ver selected_path = fn if selected_path is","system\"\"\" from __future__ import absolute_import as _abs import subprocess import os import warnings","a GPU (e.g. \"6.0\") Returns ------- major : int major version number minor","not in target.attrs: warnings.warn( \"Tensorcore will be disabled due to no CUDA architecture","callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def","in compliance # with the License. You may obtain a copy of the","# fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5","implied. See the License for the # specific language governing permissions and limitations","\"Tensorcore will be disabled due to no CUDA architecture specified.\" \"Try specifying it","the compute capability or not Parameters ---------- compute_version : str compute capability of","or agreed to in writing, # software distributed under the License is distributed","detection, we require nvcc is configured # correctly by default. # if cxx_compiler_path","to do runtime compiler detection, we require nvcc is configured # correctly by","version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd =","in int Returns ------- path : str Path to libdevice. \"\"\" cuda_path =","if selected_ver < ver <= arch: selected_ver = ver selected_path = fn if","capability of a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp","determine arch if compute_version isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist:","bytearray The bytearray of the cubin \"\"\" temp = utils.tempdir() if target not","cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option can be","optional Output file. Return ------ cubin : bytearray The bytearray of the cubin","str or list of str\") cmd += [\"-o\", file_target] cmd += [temp_code] #","def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation target. Looks for","isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else:","target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\" +","license agreements. See the NOTICE file # distributed with this work for additional","version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path","target, \"-O3\"] if isinstance(arch, list): cmd += arch else: cmd += [\"-arch\", arch]","\"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major +","minor = compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major, _ =","import warnings import tvm._ffi from tvm.runtime import ndarray as nd from . import","Parameters ---------- arch : int The compute architecture in int Returns ------- path","open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto","\"License\"); you may not use this file except in compliance # with the","nvcc where to find the c++ compiler # just in case it is","find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch : int The compute","is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled due","= py_str(out) if proc.returncode == 0: release_line = [l for l in out.split(\"\\n\")","compute capability or not Parameters ---------- compute_version : str, optional compute capability of","try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None):","return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)","do runtime compiler detection, we require nvcc is configured # correctly by default.","parse_compute_version(compute_version) if major >= 6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either","= parse_compute_version(compute_version) if major >= 7: return True return False def have_cudagraph(): \"\"\"Either","= find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True","< 10.0: return False return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either","arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters ---------- code","not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\")","detect it from env\") file_target = path_target if path_target else temp_target cmd =","= [l for l in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip()","not data: raise RuntimeError(\"Compilation error: empty result is generated\") return data def find_cuda_path():","[\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode","compiler detection, we require nvcc is configured # correctly by default. # if","arch else: cmd += [\"-arch\", arch] if options: if isinstance(options, str): cmd +=","find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path","AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3.","Parameters ---------- compute_version : str, optional compute capability of a GPU (e.g. \"7.0\").","continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver = ver","either express or implied. See the License for the # specific language governing","False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute capability or","True if major >= 6: return True return False def have_int8(compute_version): \"\"\"Either int8","(e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 6: return True","7: return True return False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\"","err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err)) def","% target, \"-O3\"] if isinstance(arch, list): cmd += arch else: cmd += [\"-arch\",","lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path)","empty result is generated\") return data def find_cuda_path(): \"\"\"Utility function to find cuda","None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return","target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters ----------","not use this file except in compliance # with the License. You may","proc.returncode == 0: release_line = [l for l in out.split(\"\\n\") if \"release\" in","\"Try specifying it by adding '-arch=sm_xx' to your target.\" ) return False compute_version","msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read())","\"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation target. Looks","a GPU (e.g. \"8.0\") \"\"\" # 1. Target if target: if \"arch\" in","Returns ------- path : str Path to cuda root. \"\"\" if \"CUDA_PATH\" in","cuda_ver < 10.0: return False return True except RuntimeError: return False def have_bf16(compute_version):","the runtime env. # Because it is hard to do runtime compiler detection,","it from env\") file_target = path_target if path_target else temp_target cmd = [\"nvcc\"]","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","# or more contributor license agreements. See the NOTICE file # distributed with","file_target = path_target if path_target else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\"","the cubin \"\"\" temp = utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]:","error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data:","the GPU device (if it exists). Parameters ---------- target : tvm.target.Target, optional The","None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or \"arch\"","TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard to do runtime","tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU detected.\" \"Try","have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver =","WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the","raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty","# under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in","release_line.split(\",\")] release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2])","to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return True","not Parameters ---------- compute_version : str, optional compute capability of a GPU (e.g.","10.0: return False return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16","target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx,","we cannot detect it from env\") file_target = path_target if path_target else temp_target","if isinstance(arch, list): cmd += arch else: cmd += [\"-arch\", arch] if options:","= proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path","Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path =","to find libdevice Parameters ---------- arch : int The compute architecture in int","path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue","GPU (e.g. \"8.0\") \"\"\" # 1. Target if target: if \"arch\" in target.attrs:",": bytearray The bytearray of the cubin \"\"\" temp = utils.tempdir() if target","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","= int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver = ver selected_path =","try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False","= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg","cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)","selected_ver = ver selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot find","None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0,","str compute capability of a GPU (e.g. \"8.0\") \"\"\" # 1. Target if","Parameters ---------- cuda_path : str Path to cuda root. Returns ------- version :","capability of a GPU (e.g. \"6.0\") Returns ------- major : int major version","be used to tell nvcc where to find the c++ compiler # just","def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and minor version Parameters","form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\" + minor","path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env.","# regarding copyright ownership. The ASF licenses this file # to you under","minor == 3: return True if major >= 6: return True return False","correctly by default. # if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path]","file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch :","compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError,","raise RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support","more contributor license agreements. See the NOTICE file # distributed with this work","float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to","option can be used to tell nvcc where to find the c++ compiler","root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc","= get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2):","major >= 6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support","minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if","[\"-arch\", arch] if options: if isinstance(options, str): cmd += [options] elif isinstance(options, list):","os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find","RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def","def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute capability or not","\"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support in reference to: #","None: if nd.gpu(0).exist: # auto detect the compute arch argument arch = \"sm_\"","is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF","compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters","+= [options] elif isinstance(options, list): cmd += options else: raise ValueError(\"options must be","return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot","+ minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel","utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda","and minor version Parameters ---------- compute_version : str compute capability of a GPU","{}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except","__future__ import absolute_import as _abs import subprocess import os import warnings import tvm._ffi","# auto detect the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else:","cuda version Parameters ---------- cuda_path : str Path to cuda root. Returns -------","used to tell nvcc where to find the c++ compiler # just in","disabled due to no CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx'","0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise","Looks for the arch in three different places, first in the target attributes,","path. On Windows it is not in the path by default. # However,","---------- compute_version : str, optional compute capability of a GPU (e.g. \"7.0\"). target","version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA","architecture in int Returns ------- path : str Path to libdevice. \"\"\" cuda_path","\"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path):","2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major,","https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return True if major","from env. Parameters ---------- code : str The cuda code. target : str","path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ---------- cuda_path :","GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target, will be used","CONDITIONS OF ANY # KIND, either express or implied. See the License for","The cuda code. target : str The target format arch : str The","in release_line.split(\",\")] release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor =","6: return True return False def have_int8(compute_version): \"\"\"Either int8 support is provided in","passed, and we cannot detect it from env\") file_target = path_target if path_target","== 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path","\"Try specifying it by adding '-arch=sm_xx' to your target.\" ) return None def","work for additional information # regarding copyright ownership. The ASF licenses this file","[s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for f in release_fields if","= \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def","compute_version = tvm.gpu(0).compute_version else: if target is None or \"arch\" not in target.attrs:","= os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver","# Because it is hard to do runtime compiler detection, we require nvcc","# NOTE: ccbin option can be used to tell nvcc where to find","selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path,","'-arch=sm_xx' to your target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute version","the arch in three different places, first in the target attributes, then the","compute capability of a GPU (e.g. \"6.0\") Returns ------- major : int major",": str, optional Output file. Return ------ cubin : bytearray The bytearray of","licenses this file # to you under the Apache License, Version 2.0 (the","= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode","_) = proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\"))","------- path : str Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ:","and limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc","# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either","if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")):","and we cannot detect it from env\") file_target = path_target if path_target else","os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\",","def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env.","result is generated\") return data def find_cuda_path(): \"\"\"Utility function to find cuda path","express or implied. See the License for the # specific language governing permissions","cmd += arch else: cmd += [\"-arch\", arch] if options: if isinstance(options, str):","root. Returns ------- version : float The cuda version \"\"\" version_file_path = os.path.join(cuda_path,","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","\"\"\" # 1. Target if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"]","warnings.warn( \"Tensorcore will be disabled due to no CUDA architecture specified.\" \"Try specifying","msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise","\"w\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect","ndarray as nd from . import utils from .._ffi.base import py_str def compile_cuda(code,","to cuda root. Returns ------- version : float The cuda version \"\"\" version_file_path","cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code,","we require nvcc is configured # correctly by default. # if cxx_compiler_path !=","under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the","\"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda","= 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1,","limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler","cubin : bytearray The bytearray of the cubin \"\"\" temp = utils.tempdir() if",": str compute capability of a GPU (e.g. \"8.0\") \"\"\" major, _ =","runtime env. # Because it is hard to do runtime compiler detection, we","format arch : str The architecture options : str or list of str","str The target format arch : str The architecture options : str or","\"\"\"Utility function to get compute capability of compilation target. Looks for the arch","you under the Apache License, Version 2.0 (the # \"License\"); you may not","specified or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\"","is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or","= compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except","tvm.gpu(0).compute_version else: if target is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore","(e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target, will be used to","target.attrs[\"arch\"] # Compute version will be in the form \"sm_{major}{minor}\" major, minor =","License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS","with NVCC from env. Parameters ---------- code : str The cuda code. target","def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ---------- cuda_path : str","------- major : int major version number minor : int minor version number","return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the compute","tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return","Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor","language governing permissions and limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility","str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute capability or","capability of compilation target. Looks for the arch in three different places, first","target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return","cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged","compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not","Parameters ---------- compute_version : str compute capability of a GPU (e.g. \"6.0\") Returns","of the cubin \"\"\" temp = utils.tempdir() if target not in [\"cubin\", \"ptx\",","\"\"\" temp = utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target","cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return","# correctly by default. # if cxx_compiler_path != \"\": # cmd += [\"-ccbin\",","py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error:","with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except","<= arch: selected_ver = ver selected_path = fn if selected_path is None: raise","\"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return","6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided","Windows it is not in the path by default. # However, we cannot","a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support","\"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target","subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg =","int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver = ver selected_path = fn","find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except","def have_int8(compute_version): \"\"\"Either int8 support is provided in the compute capability or not","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as","= parse_compute_version(compute_version) if major >= 6: return True return False def have_tensorcore(compute_version=None, target=None):","py_str(out) if proc.returncode == 0: release_line = [l for l in out.split(\"\\n\") if","if proc.returncode == 0: release_line = [l for l in out.split(\"\\n\") if \"release\"","major + \".\" + minor major, _ = parse_compute_version(compute_version) if major >= 7:",". import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None):","raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version","under the Apache License, Version 2.0 (the # \"License\"); you may not use","\"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support in reference to:","\"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc =",">= 6: return True return False def have_int8(compute_version): \"\"\"Either int8 support is provided","in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda","code : str The cuda code. target : str The target format arch","as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass","_abs import subprocess import os import warnings import tvm._ffi from tvm.runtime import ndarray","by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. #","(9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else:","get compute capability of compilation target. Looks for the arch in three different","ccbin option can be used to tell nvcc where to find the c++","by adding '-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute","License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","env. # Because it is hard to do runtime compiler detection, we require","+= [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd += arch else: cmd","not in the path. On Windows it is not in the path by","if proc.returncode != 0: msg = code msg += \"\\nCompilation error:\\n\" msg +=","compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None","\"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1])","file_target] cmd += [temp_code] # NOTE: ccbin option can be used to tell","---------- target : tvm.target.Target, optional The compilation target Returns ------- compute_version : str","is not in the path. On Windows it is not in the path","os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver","or implied. See the License for the # specific language governing permissions and","from env\") file_target = path_target if path_target else temp_target cmd = [\"nvcc\"] cmd","path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return","\"\"\"Utility function to find libdevice Parameters ---------- arch : int The compute architecture","major, _ = parse_compute_version(compute_version) if major >= 7: return True return False def","return major + \".\" + minor # 2. Global scope from tvm.autotvm.env import","\"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major,","str\") cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option can","pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\" from __future__ import","= py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if","distributed under the License is distributed on an # \"AS IS\" BASIS, WITHOUT","in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code","os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =","0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0,","The compute architecture in int Returns ------- path : str Path to libdevice.",": str The cuda code. target : str The target format arch :","= os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\",","proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return","------- version : float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if","of a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16","in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\"","compute_version : str compute capability of a GPU (e.g. \"6.1\") \"\"\" major, _",": str, optional compute capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target,","ver selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice for","release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return","adding '-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability","selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice","cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except RuntimeError:","= os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if","no CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\"","exists). Parameters ---------- target : tvm.target.Target, optional The compilation target Returns ------- compute_version","\"\"\" major, _ = parse_compute_version(compute_version) if major >= 6: return True return False","= \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot","[\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code =","cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd","= os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot","version Parameters ---------- cuda_path : str Path to cuda root. Returns ------- version","bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result is generated\") return","def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute capability or not","to find the c++ compiler # just in case it is not in","compute capability of a GPU (e.g. \"8.0\") \"\"\" # 1. Target if target:","= int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from","GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support in","+= options else: raise ValueError(\"options must be str or list of str\") cmd","= bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result is generated\")","\"\"\"Either bf16 support is provided in the compute capability or not Parameters ----------","if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major","proc.communicate() out = py_str(out) if proc.returncode == 0: release_line = [l for l","arch] if options: if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd","selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0,","or not Parameters ---------- compute_version: str compute capability of a GPU (e.g. \"6.0\")","provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return","os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try:","for the arch in three different places, first in the target attributes, then","(e.g. \"6.0\") Returns ------- major : int major version number minor : int","target=None): \"\"\"Either TensorCore support is provided in the compute capability or not Parameters","Unless required by applicable law or agreed to in writing, # software distributed","specifying it by adding '-arch=sm_xx' to your target.\" ) return False compute_version =","+ minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture","import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major","pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" +","if \"release\" in l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version =","int Returns ------- path : str Path to libdevice. \"\"\" cuda_path = find_cuda_path()","distributed with this work for additional information # regarding copyright ownership. The ASF","cmd += options else: raise ValueError(\"options must be str or list of str\")","RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters","nd from . import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None,","RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result","in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver","\"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out","major version number minor : int minor version number \"\"\" split_ver = compute_version.split(\".\")","if major >= 7: return True return False def have_cudagraph(): \"\"\"Either CUDA Graph","False return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is","cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode !=","regarding copyright ownership. The ASF licenses this file # to you under the","cuda code with NVCC from env. Parameters ---------- code : str The cuda","scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor =","_ = parse_compute_version(compute_version) if major >= 6: return True return False def have_tensorcore(compute_version=None,","not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\")","# KIND, either express or implied. See the License for the # specific","= [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =","False def have_int8(compute_version): \"\"\"Either int8 support is provided in the compute capability or","os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function","hard to do runtime compiler detection, we require nvcc is configured # correctly","tvm.target.Target, optional The compilation target Returns ------- compute_version : str compute capability of","CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\" )","this work for additional information # regarding copyright ownership. The ASF licenses this","= ver selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice","ANY # KIND, either express or implied. See the License for the #","return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc","and finally the GPU device (if it exists). Parameters ---------- target : tvm.target.Target,","[os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()","contributor license agreements. See the NOTICE file # distributed with this work for","10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target, will be","The architecture options : str or list of str The additional options path_target","= fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch))","default. # if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc =","False compute_version = target.attrs[\"arch\"] # Compute version will be in the form \"sm_{major}{minor}\"","have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute capability or not Parameters","Returns ------- version : float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\")","function to get cuda version Parameters ---------- cuda_path : str Path to cuda","provided in the compute capability or not Parameters ---------- compute_version: str compute capability","get cuda version Parameters ---------- cuda_path : str Path to cuda root. Returns","file. Return ------ cubin : bytearray The bytearray of the cubin \"\"\" temp","= [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd +=","path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str","else: raise ValueError(\"options must be str or list of str\") cmd += [\"-o\",","will be used to determine arch if compute_version isn't specified. \"\"\" if compute_version","3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or","if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or \"arch\" not","---------- cuda_path : str Path to cuda root. Returns ------- version : float","because the runtime env. # Because it is hard to do runtime compiler","Return ------ cubin : bytearray The bytearray of the cubin \"\"\" temp =","ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" +","\"\"\"Either TensorCore support is provided in the compute capability or not Parameters ----------","# Compute version will be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1]","cannot detect it from env\") file_target = path_target if path_target else temp_target cmd","of compilation target. Looks for the arch in three different places, first in","utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in","See the License for the # specific language governing permissions and limitations #",": int The compute architecture in int Returns ------- path : str Path","arch : str The architecture options : str or list of str The","# pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\" from __future__","repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as","c++ compiler # just in case it is not in the path. On","minor = compute_version.split(\"_\")[1] return major + \".\" + minor # 2. Global scope","IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or","---------- compute_version : str compute capability of a GPU (e.g. \"6.1\") \"\"\" major,","2.0 (the # \"License\"); you may not use this file except in compliance","or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled due to no","a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 6:","if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd,","to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path):","= AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3. GPU if tvm.gpu(0).exist:","find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function","path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError:","GPU (e.g. \"6.0\") Returns ------- major : int major version number minor :","bf16 support is provided in the compute capability or not Parameters ---------- compute_version","KIND, either express or implied. See the License for the # specific language","\"\"\"Compile cuda code with NVCC from env. Parameters ---------- code : str The","target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\" + minor # 2.","arch in three different places, first in the target attributes, then the global","\"\"\"Either fp16 support is provided in the compute capability or not Parameters ----------","have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the compute capability or not","is provided in the compute capability or not Parameters ---------- compute_version : str,","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","target attributes, then the global scope, and finally the GPU device (if it","in case it is not in the path. On Windows it is not","def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch : int The","CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f:","compute capability of a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if","if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is","provided in the compute capability or not Parameters ---------- compute_version : str compute",": str or list of str The additional options path_target : str, optional","path : str Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return","raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target =","arch: selected_ver = ver selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot","list): cmd += options else: raise ValueError(\"options must be str or list of","os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path,","minor : int minor version number \"\"\" split_ver = compute_version.split(\".\") try: major =","(e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 8: return True","as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err))","compliance # with the License. You may obtain a copy of the License","float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): #","use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard to do","arch if compute_version isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version","specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if","be disabled due to no CUDA architecture specified.\" \"Try specifying it by adding","\"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect it from","py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path,","= f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path,","WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See","with the License. You may obtain a copy of the License at #","architecture was specified or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to","information # regarding copyright ownership. The ASF licenses this file # to you","is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path)","[\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option can be used to","for s in release_line.split(\",\")] release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0]","first in the target attributes, then the global scope, and finally the GPU","import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile","cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"]","the target attributes, then the global scope, and finally the GPU device (if","ValueError(\"arch(sm_xy) is not passed, and we cannot detect it from env\") file_target =","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","in target.attrs: warnings.warn( \"Tensorcore will be disabled due to no CUDA architecture specified.\"","\"-O3\"] if isinstance(arch, list): cmd += arch else: cmd += [\"-arch\", arch] if","one # or more contributor license agreements. See the NOTICE file # distributed","cmd += [temp_code] # NOTE: ccbin option can be used to tell nvcc","fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver =","except in compliance # with the License. You may obtain a copy of","the system\"\"\" from __future__ import absolute_import as _abs import subprocess import os import","ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\")","device (if it exists). Parameters ---------- target : tvm.target.Target, optional The compilation target","the compute capability or not Parameters ---------- compute_version : str, optional compute capability","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","you may not use this file except in compliance # with the License.","minor version number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor =","str compute capability of a GPU (e.g. \"6.0\") Returns ------- major : int","------ cubin : bytearray The bytearray of the cubin \"\"\" temp = utils.tempdir()","to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\",","\"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out =","by default. # if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc","\"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to","os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path,","to get compute capability of compilation target. Looks for the arch in three","an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,","+= [temp_code] # NOTE: ccbin option can be used to tell nvcc where","attributes, then the global scope, and finally the GPU device (if it exists).","+ \".\" + minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope #","\"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 6: return True return","Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver","compiler # just in case it is not in the path. On Windows","or list of str The additional options path_target : str, optional Output file.","cuda code. target : str The target format arch : str The architecture","ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver = ver selected_path","else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if","target : str The target format arch : str The architecture options :","have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute capability or not Parameters","9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for","detected.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\" ) return None","cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()","Parameters ---------- target : tvm.target.Target, optional The compilation target Returns ------- compute_version :","temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file:","return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided",": str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\")","fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path","libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try:","The compilation target Returns ------- compute_version : str compute capability of a GPU","compute_version: str compute capability of a GPU (e.g. \"6.0\") \"\"\" major, minor =","major + \".\" + minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope","will be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major",">= 7: return True return False def have_cudagraph(): \"\"\"Either CUDA Graph support is","open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError:","NOTE: ccbin option can be used to tell nvcc where to find the","of str The additional options path_target : str, optional Output file. Return ------","minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3. GPU if","this file # to you under the Apache License, Version 2.0 (the #","GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 6: return","support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver <","release_fields = [s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for f in","\"8.0\") \"\"\" # 1. Target if target: if \"arch\" in target.attrs: compute_version =",".._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with","+= [\"-arch\", arch] if options: if isinstance(options, str): cmd += [options] elif isinstance(options,","Returns ------- path : str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path","# # Unless required by applicable law or agreed to in writing, #","proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0:","version will be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version =","try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError)","proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if","find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability","to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to","in l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for","version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided","places, first in the target attributes, then the global scope, and finally the","compute capability of a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) #","version number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1])","11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not","\"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target","int The compute architecture in int Returns ------- path : str Path to","[\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd += arch else: cmd +=","if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1]","to no CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to your","Version 2.0 (the # \"License\"); you may not use this file except in","for the # specific language governing permissions and limitations # under the License.","\"7.0\"). target : tvm.target.Target, optional The compilation target, will be used to determine","License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\" from","isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd += options else: raise","compute capability or not Parameters ---------- compute_version: str compute capability of a GPU","fp16 support is provided in the compute capability or not Parameters ---------- compute_version:","split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor","repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None","the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime","in target.attrs: compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\"","FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)","@tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch : int","10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn","is provided in the compute capability or not Parameters ---------- compute_version : str","+= [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin option can be used","tvm.target.Target, optional The compilation target, will be used to determine arch if compute_version","= parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major","OF ANY # KIND, either express or implied. See the License for the","BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied.","= utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be","from . import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None,","0: msg = code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg)","= [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out","provided in the compute capability or not Parameters ---------- compute_version : str, optional","version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ---------- arch","[\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out =",": str compute capability of a GPU (e.g. \"6.1\") \"\"\" major, _ =","detect the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy)","get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ---------- cuda_path : str Path","proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path =","by adding '-arch=sm_xx' to your target.\" ) return False compute_version = target.attrs[\"arch\"] #","for l in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for s","get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path","os import warnings import tvm._ffi from tvm.runtime import ndarray as nd from .","# Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with","# specific language governing permissions and limitations # under the License. # pylint:","isinstance(arch, list): cmd += arch else: cmd += [\"-arch\", arch] if options: if","Parameters ---------- compute_version: str compute capability of a GPU (e.g. \"6.0\") \"\"\" major,","function to find cuda path Returns ------- path : str Path to cuda","parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and minor version Parameters ----------",": str Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"]","= get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except RuntimeError: return","it is not in the path by default. # However, we cannot use","\".\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA","as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect the","\"\"\" major, _ = parse_compute_version(compute_version) if major >= 8: return True return False","License, Version 2.0 (the # \"License\"); you may not use this file except","we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard","= tvm.gpu(0).compute_version else: if target is None or \"arch\" not in target.attrs: warnings.warn(","== 0: release_line = [l for l in out.split(\"\\n\") if \"release\" in l][0]","architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\" ) return","stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg = code msg","RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get","due to no CUDA architecture specified.\" \"Try specifying it by adding '-arch=sm_xx' to","this file except in compliance # with the License. You may obtain a","find cuda path Returns ------- path : str Path to cuda root. \"\"\"","data: raise RuntimeError(\"Compilation error: empty result is generated\") return data def find_cuda_path(): \"\"\"Utility",": int minor version number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0])","may not use this file except in compliance # with the License. You","to divide major and minor version Parameters ---------- compute_version : str compute capability","list of str\") cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE: ccbin","options path_target : str, optional Output file. Return ------ cubin : bytearray The","code. target : str The target format arch : str The architecture options","cubin \"\"\" temp = utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise","f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd","os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <=","ASF licenses this file # to you under the Apache License, Version 2.0","nvcc is configured # correctly by default. # if cxx_compiler_path != \"\": #",": str compute capability of a GPU (e.g. \"6.0\") Returns ------- major :","of a GPU (e.g. \"6.0\") Returns ------- major : int major version number","return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU detected.\" \"Try specifying","stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: release_line","have_int8(compute_version): \"\"\"Either int8 support is provided in the compute capability or not Parameters","default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because","GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU","Path to cuda root. \"\"\" if \"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd =","read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters","is not in the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH","cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice Parameters ----------","the compute capability or not Parameters ---------- compute_version: str compute capability of a","import absolute_import as _abs import subprocess import os import warnings import tvm._ffi from","reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return","# distributed with this work for additional information # regarding copyright ownership. The","of a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major >=","is not passed, and we cannot detect it from env\") file_target = path_target","msg = code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data","is configured # correctly by default. # if cxx_compiler_path != \"\": # cmd","to invoke nvcc compiler in the system\"\"\" from __future__ import absolute_import as _abs","cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path,","support is provided in the compute capability or not Parameters ---------- compute_version: str","on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #","s in release_line.split(\",\")] release_version = [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor","target. Looks for the arch in three different places, first in the target","out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect the compute arch","as _abs import subprocess import os import warnings import tvm._ffi from tvm.runtime import","options: if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd += options","str compute capability of a GPU (e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version)","RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is","temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list):","temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None:","NVCC from env. Parameters ---------- code : str The cuda code. target :","_ = parse_compute_version(compute_version) if major >= 7: return True return False def have_cudagraph():","with this work for additional information # regarding copyright ownership. The ASF licenses","out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect the compute","# https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return True if","find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ----------","it exists). Parameters ---------- target : tvm.target.Target, optional The compilation target Returns -------","= proc.communicate() if proc.returncode != 0: msg = code msg += \"\\nCompilation error:\\n\"",": int major version number minor : int minor version number \"\"\" split_ver","(IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \"","function to find libdevice Parameters ---------- arch : int The compute architecture in","if target is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be","stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: return","compilation target, will be used to determine arch if compute_version isn't specified. \"\"\"","the License. You may obtain a copy of the License at # #",": str Path to cuda root. Returns ------- version : float The cuda","target Returns ------- compute_version : str compute capability of a GPU (e.g. \"8.0\")","16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor","\"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\"","\"6.0\") Returns ------- major : int major version number minor : int minor","selected_path = fn if selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch","agreements. See the NOTICE file # distributed with this work for additional information","(if it exists). Parameters ---------- target : tvm.target.Target, optional The compilation target Returns","in three different places, first in the target attributes, then the global scope,","CUDA architecture was specified or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx'","os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find","tell nvcc where to find the c++ compiler # just in case it","# just in case it is not in the path. On Windows it","writing, # software distributed under the License is distributed on an # \"AS","False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the compute capability","be in the form \"sm_{major}{minor}\" major, minor = compute_version.split(\"_\")[1] compute_version = major +","list): cmd += arch else: cmd += [\"-arch\", arch] if options: if isinstance(options,","major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3. GPU","elif isinstance(options, list): cmd += options else: raise ValueError(\"options must be str or","not Parameters ---------- compute_version: str compute capability of a GPU (e.g. \"6.0\") \"\"\"","in the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the","\"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result is generated\") return data","path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation","as nd from . import utils from .._ffi.base import py_str def compile_cuda(code, target=\"ptx\",","------- compute_version : str compute capability of a GPU (e.g. \"8.0\") \"\"\" #","find the c++ compiler # just in case it is not in the","return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and minor","[temp_code] # NOTE: ccbin option can be used to tell nvcc where to","it is hard to do runtime compiler detection, we require nvcc is configured","out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \"../..\")) cuda_path = \"/usr/local/cuda\"","or not Parameters ---------- compute_version : str compute capability of a GPU (e.g.","compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major, _ = parse_compute_version(compute_version) if","major >= 7: return True return False def have_cudagraph(): \"\"\"Either CUDA Graph support","------- path : str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path =","NOTICE file # distributed with this work for additional information # regarding copyright","---------- code : str The cuda code. target : str The target format","warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute","pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,","str or list of str The additional options path_target : str, optional Output","isinstance(options, list): cmd += options else: raise ValueError(\"options must be str or list","True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in",") return False compute_version = target.attrs[\"arch\"] # Compute version will be in the","code msg += \"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target,","\"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\")","major and minor version Parameters ---------- compute_version : str compute capability of a","\" + str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute","os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver =","number minor : int minor version number \"\"\" split_ver = compute_version.split(\".\") try: major","options=None, path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters ---------- code :","specified.\" \"Try specifying it by adding '-arch=sm_xx' to your target.\" ) return False","path_target=None): \"\"\"Compile cuda code with NVCC from env. Parameters ---------- code : str","it by adding '-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse","architecture options : str or list of str The additional options path_target :","env. Parameters ---------- code : str The cuda code. target : str The","specifying it by adding '-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version):","in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with","divide major and minor version Parameters ---------- compute_version : str compute capability of","tvm.runtime import ndarray as nd from . import utils from .._ffi.base import py_str","The target format arch : str The architecture options : str or list","different places, first in the target attributes, then the global scope, and finally","\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd,","the Apache License, Version 2.0 (the # \"License\"); you may not use this","int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: #","in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3:","AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\" + minor # 3. GPU if tvm.gpu(0).exist: return","l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version = [f[1:] for f","cuda_path : str Path to cuda root. Returns ------- version : float The","else: if target is None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will","list of str The additional options path_target : str, optional Output file. Return","find libdevice Parameters ---------- arch : int The compute architecture in int Returns","compute_version = target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\" + minor","The additional options path_target : str, optional Output file. Return ------ cubin :","in the compute capability or not Parameters ---------- compute_version : str, optional compute","\"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled due to no CUDA","= \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch):","int minor version number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor","capability of a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major","arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we","support is provided in the compute capability or not Parameters ---------- compute_version :","in the target attributes, then the global scope, and finally the GPU device","= target.attrs[\"arch\"] # Compute version will be in the form \"sm_{major}{minor}\" major, minor","RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find libdevice","if cuda_ver < 10.0: return False return True except RuntimeError: return False def","return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get","\"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\",","will be disabled due to no CUDA architecture specified.\" \"Try specifying it by","return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the compute capability","= os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path =","return False return True except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support","error: empty result is generated\") return data def find_cuda_path(): \"\"\"Utility function to find","ValueError(\"target must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\"","options : str or list of str The additional options path_target : str,","runtime compiler detection, we require nvcc is configured # correctly by default. #","tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified or GPU detected.\" \"Try specifying it","pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version): \"\"\"Either","False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path()","The ASF licenses this file # to you under the Apache License, Version","file except in compliance # with the License. You may obtain a copy","\"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect","+ \".\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No","generated\") return data def find_cuda_path(): \"\"\"Utility function to find cuda path Returns -------","file # to you under the Apache License, Version 2.0 (the # \"License\");","Parameters ---------- code : str The cuda code. target : str The target","release_line = [l for l in out.split(\"\\n\") if \"release\" in l][0] release_fields =","parse_compute_version(compute_version) if major >= 7: return True return False def have_cudagraph(): \"\"\"Either CUDA","target : tvm.target.Target, optional The compilation target, will be used to determine arch","int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise",": str The architecture options : str or list of str The additional","str): cmd += [options] elif isinstance(options, list): cmd += options else: raise ValueError(\"options","capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation target,","target format arch : str The architecture options : str or list of","string to divide major and minor version Parameters ---------- compute_version : str compute","= major + \".\" + minor major, _ = parse_compute_version(compute_version) if major >=","return True return False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try:","= find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA",": str The target format arch : str The architecture options : str","not passed, and we cannot detect it from env\") file_target = path_target if","options else: raise ValueError(\"options must be str or list of str\") cmd +=","import subprocess import os import warnings import tvm._ffi from tvm.runtime import ndarray as","compute architecture in int Returns ------- path : str Path to libdevice. \"\"\"","if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path =","= temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code)","in the compute capability or not Parameters ---------- compute_version: str compute capability of","in the compute capability or not Parameters ---------- compute_version : str compute capability","(out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: release_line =","\".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility","compute capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The compilation","return False compute_version = target.attrs[\"arch\"] # Compute version will be in the form","str compute capability of a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version)","minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing","path Returns ------- path : str Path to cuda root. \"\"\" if \"CUDA_PATH\"","(the # \"License\"); you may not use this file except in compliance #","a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 8:","the c++ compiler # just in case it is not in the path.","+= [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if","if selected_path is None: raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path =","os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0","raise RuntimeError(\"Cannot find libdevice for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path","major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def","in the path. On Windows it is not in the path by default.","+ \".\" + minor major, _ = parse_compute_version(compute_version) if major >= 7: return","+ str(err)) def have_fp16(compute_version): \"\"\"Either fp16 support is provided in the compute capability","in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)","used to determine arch if compute_version isn't specified. \"\"\" if compute_version is None:","(out, _) = proc.communicate() if proc.returncode != 0: msg = code msg +=","\"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out)","target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute version will be in","0: release_line = [l for l in out.split(\"\\n\") if \"release\" in l][0] release_fields","to get cuda version Parameters ---------- cuda_path : str Path to cuda root.","just in case it is not in the path. On Windows it is","raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function to find","optional compute capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional The","Output file. Return ------ cubin : bytearray The bytearray of the cubin \"\"\"","nvcc compiler in the system\"\"\" from __future__ import absolute_import as _abs import subprocess","law or agreed to in writing, # software distributed under the License is","libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): #","5 and minor == 3: return True if major >= 6: return True","str The additional options path_target : str, optional Output file. Return ------ cubin","specific language governing permissions and limitations # under the License. # pylint: disable=invalid-name","# software distributed under the License is distributed on an # \"AS IS\"","to you under the Apache License, Version 2.0 (the # \"License\"); you may","case it is not in the path. On Windows it is not in","cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1,","compute_version = major + \".\" + minor major, _ = parse_compute_version(compute_version) if major","if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility","else: raise ValueError(\"arch(sm_xy) is not passed, and we cannot detect it from env\")","file # distributed with this work for additional information # regarding copyright ownership.","1. Target if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor","Target if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major, minor =","target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major","major, minor = parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions","# Licensed to the Apache Software Foundation (ASF) under one # or more","version Parameters ---------- compute_version : str compute capability of a GPU (e.g. \"6.0\")","code with NVCC from env. Parameters ---------- code : str The cuda code.","else temp_target cmd = [\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch,","import ndarray as nd from . import utils from .._ffi.base import py_str def","arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed,","\"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major,","f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\")","copyright ownership. The ASF licenses this file # to you under the Apache","libdevice Parameters ---------- arch : int The compute architecture in int Returns -------","ownership. The ASF licenses this file # to you under the Apache License,","= os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path =","if arch is None: if nd.gpu(0).exist: # auto detect the compute arch argument","Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not","import tvm._ffi from tvm.runtime import ndarray as nd from . import utils from","\"\"\"Parse compute capability string to divide major and minor version Parameters ---------- compute_version","= [f[1:] for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor)","(e.g. \"6.0\") \"\"\" major, minor = parse_compute_version(compute_version) # fp 16 support in reference","not Parameters ---------- compute_version : str compute capability of a GPU (e.g. \"6.1\")","must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" %","to find cuda path Returns ------- path : str Path to cuda root.","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","temp = utils.tempdir() if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must","warnings import tvm._ffi from tvm.runtime import ndarray as nd from . import utils","from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1]","py_str def compile_cuda(code, target=\"ptx\", arch=None, options=None, path_target=None): \"\"\"Compile cuda code with NVCC from","# 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch:","# Unless required by applicable law or agreed to in writing, # software","arch is None: if nd.gpu(0).exist: # auto detect the compute arch argument arch","capability or not Parameters ---------- compute_version : str compute capability of a GPU","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()","None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and minor version","TensorCore support is provided in the compute capability or not Parameters ---------- compute_version","CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver","the compute arch argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is","libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of","target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist:","_) = proc.communicate() out = py_str(out) if proc.returncode == 0: release_line = [l","cuda root. Returns ------- version : float The cuda version \"\"\" version_file_path =","% target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None: if","argument arch = \"sm_\" + \"\".join(nd.gpu(0).compute_version.split(\".\")) else: raise ValueError(\"arch(sm_xy) is not passed, and","to in writing, # software distributed under the License is distributed on an","+= py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation","path : str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path,","= compute_version.split(\"_\")[1] return major + \".\" + minor # 2. Global scope from","fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and","def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the compute capability or","agreed to in writing, # software distributed under the License is distributed on","# 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \"No CUDA architecture was specified","or list of str\") cmd += [\"-o\", file_target] cmd += [temp_code] # NOTE:","compute_version : str, optional compute capability of a GPU (e.g. \"7.0\"). target :","capability string to divide major and minor version Parameters ---------- compute_version : str","major : int major version number minor : int minor version number \"\"\"","= proc.communicate() out = py_str(out) if proc.returncode == 0: release_line = [l for","find_cuda_path(): \"\"\"Utility function to find cuda path Returns ------- path : str Path","minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: # pylint:","\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express","---------- compute_version : str compute capability of a GPU (e.g. \"6.0\") Returns -------","== 3: return True if major >= 6: return True return False def","minor version Parameters ---------- compute_version : str compute capability of a GPU (e.g.","compute_version : str compute capability of a GPU (e.g. \"8.0\") \"\"\" # 1.","major == 5 and minor == 3: return True if major >= 6:","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","the path. On Windows it is not in the path by default. #","function to get compute capability of compilation target. Looks for the arch in","and minor == 3: return True if major >= 6: return True return","return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\")",": tvm.target.Target, optional The compilation target, will be used to determine arch if","to the Apache Software Foundation (ASF) under one # or more contributor license","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","!= \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,","path_target : str, optional Output file. Return ------ cubin : bytearray The bytearray","target : tvm.target.Target, optional The compilation target Returns ------- compute_version : str compute","if compute_version isn't specified. \"\"\" if compute_version is None: if tvm.gpu(0).exist: compute_version =","for f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot","return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in","not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver =","10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \"libdevice.10.bc\") else: for fn in os.listdir(lib_path):","str Path to libdevice. \"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if","l in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for s in","\"\"\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu","cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard to","ValueError(\"options must be str or list of str\") cmd += [\"-o\", file_target] cmd","absolute_import as _abs import subprocess import os import warnings import tvm._ffi from tvm.runtime","data = bytearray(open(file_target, \"rb\").read()) if not data: raise RuntimeError(\"Compilation error: empty result is","cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged","lib_path = os.path.join(cuda_path, \"nvvm/libdevice\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path","ver <= arch: selected_ver = ver selected_path = fn if selected_path is None:","get_target_compute_version(target=None): \"\"\"Utility function to get compute capability of compilation target. Looks for the","use this file except in compliance # with the License. You may obtain","\"\\nCompilation error:\\n\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \"rb\").read()) if not","cuda_path = \"/usr/local/cuda\" if os.path.exists(os.path.join(cuda_path, \"bin/nvcc\")): return cuda_path raise RuntimeError(\"Cannot find cuda path\")","if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\")","major + \".\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn(","None or \"arch\" not in target.attrs: warnings.warn( \"Tensorcore will be disabled due to","it by adding '-arch=sm_xx' to your target.\" ) return False compute_version = target.attrs[\"arch\"]","be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target)","# Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path","of a GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >=","+ minor major, _ = parse_compute_version(compute_version) if major >= 7: return True return","Software Foundation (ASF) under one # or more contributor license agreements. See the","major, minor = compute_version.split(\"_\")[1] return major + \".\" + minor # 2. Global","temp.relpath(\"my_kernel.cu\") temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code) if","def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\"","support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor ==","\"\"\"Either int8 support is provided in the compute capability or not Parameters ----------","the License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR","if major == 5 and minor == 3: return True if major >=","Path to cuda root. Returns ------- version : float The cuda version \"\"\"","proc.communicate() if proc.returncode != 0: msg = code msg += \"\\nCompilation error:\\n\" msg","additional options path_target : str, optional Output file. Return ------ cubin : bytearray","\"\"\"Utility function to get cuda version Parameters ---------- cuda_path : str Path to","f in release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read","cmd += [options] elif isinstance(options, list): cmd += options else: raise ValueError(\"options must","compilation target. Looks for the arch in three different places, first in the","# if cxx_compiler_path != \"\": # cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd,","'-arch=sm_xx' to your target.\" ) return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string","except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error:","not Parameters ---------- compute_version : str compute capability of a GPU (e.g. \"8.0\")","True return False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path","= int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as err:","Parameters ---------- compute_version : str compute capability of a GPU (e.g. \"8.0\") \"\"\"","= target.attrs[\"arch\"] major, minor = compute_version.split(\"_\")[1] return major + \".\" + minor #","to your target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute version will","str, optional Output file. Return ------ cubin : bytearray The bytearray of the","stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0:","\".\" + minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint:","parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major ==","[\"nvcc\"] cmd += [\"--%s\" % target, \"-O3\"] if isinstance(arch, list): cmd += arch","the # specific language governing permissions and limitations # under the License. #","governing permissions and limitations # under the License. # pylint: disable=invalid-name \"\"\"Utility to","invoke nvcc compiler in the system\"\"\" from __future__ import absolute_import as _abs import","or not Parameters ---------- compute_version : str, optional compute capability of a GPU","compute capability or not Parameters ---------- compute_version : str compute capability of a","major, minor = compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major, _","\"No CUDA architecture was specified or GPU detected.\" \"Try specifying it by adding",": float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path):","# 1. Target if target: if \"arch\" in target.attrs: compute_version = target.attrs[\"arch\"] major,","See the NOTICE file # distributed with this work for additional information #","if major >= 6: return True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore","---------- compute_version : str compute capability of a GPU (e.g. \"8.0\") \"\"\" major,","version : float The cuda version \"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not","\"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin, ptx, fatbin\") temp_code = temp.relpath(\"my_kernel.cu\")","major >= 6: return True return False def have_int8(compute_version): \"\"\"Either int8 support is","raise ValueError(\"options must be str or list of str\") cmd += [\"-o\", file_target]","\".\" + minor major, _ = parse_compute_version(compute_version) if major >= 7: return True","the NOTICE file # distributed with this work for additional information # regarding","os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,","if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\",","in writing, # software distributed under the License is distributed on an #","the Apache Software Foundation (ASF) under one # or more contributor license agreements.","# cmd += [\"-ccbin\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =","int8 support is provided in the compute capability or not Parameters ---------- compute_version","return float(major_minor) raise RuntimeError(\"Cannot read cuda version file\") @tvm._ffi.register_func(\"tvm_callback_libdevice_path\") def find_libdevice_path(arch): \"\"\"Utility function","return major + \".\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version","the License. # pylint: disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\"","GPU (e.g. \"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 8: return","finally the GPU device (if it exists). Parameters ---------- target : tvm.target.Target, optional","in the system\"\"\" from __future__ import absolute_import as _abs import subprocess import os","with open(temp_code, \"w\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: #","compute capability string to divide major and minor version Parameters ---------- compute_version :","True return False def have_int8(compute_version): \"\"\"Either int8 support is provided in the compute","arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch)","return find_libdevice_path(arch) except RuntimeError: warnings.warn(\"Cannot find libdevice path\") return \"\" def get_target_compute_version(target=None): \"\"\"Utility","= compute_version.split(\"_\")[1] compute_version = major + \".\" + minor major, _ = parse_compute_version(compute_version)","is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0:","major, _ = parse_compute_version(compute_version) if major >= 6: return True return False def","except RuntimeError: return False def have_bf16(compute_version): \"\"\"Either bf16 support is provided in the","[l for l in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for","\"lib/nvidia-cuda-toolkit/libdevice\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in","be used to determine arch if compute_version isn't specified. \"\"\" if compute_version is","release_fields if f.startswith(\"V\")][0] major_minor = \".\".join(release_version.split(\".\")[:2]) return float(major_minor) raise RuntimeError(\"Cannot read cuda version","env\") file_target = path_target if path_target else temp_target cmd = [\"nvcc\"] cmd +=","str, optional compute capability of a GPU (e.g. \"7.0\"). target : tvm.target.Target, optional","subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode ==","if nd.gpu(0).exist: # auto detect the compute arch argument arch = \"sm_\" +","== 5 and minor == 3: return True if major >= 6: return","if options: if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd +=","_) = proc.communicate() if proc.returncode != 0: msg = code msg += \"\\nCompilation","version number minor : int minor version number \"\"\" split_ver = compute_version.split(\".\") try:","(e.g. \"8.0\") \"\"\" # 1. Target if target: if \"arch\" in target.attrs: compute_version","cuda_path raise RuntimeError(\"Cannot find cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda","On Windows it is not in the path by default. # However, we","cuda path\") def get_cuda_version(cuda_path): \"\"\"Utility function to get cuda version Parameters ---------- cuda_path","Returns ------- major : int major version number minor : int minor version","else: cmd += [\"-arch\", arch] if options: if isinstance(options, str): cmd += [options]","= None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2,","return False def have_cudagraph(): \"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path =","for arch {}\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return","is None: if nd.gpu(0).exist: # auto detect the compute arch argument arch =","tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or \"arch\" not in","# with the License. You may obtain a copy of the License at","number \"\"\" split_ver = compute_version.split(\".\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return","True return False def have_tensorcore(compute_version=None, target=None): \"\"\"Either TensorCore support is provided in the","# pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\"_\")[1] return major + \".\"","to determine arch if compute_version isn't specified. \"\"\" if compute_version is None: if","arch : int The compute architecture in int Returns ------- path : str","get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except RuntimeError: return False","try: with open(version_file_path) as f: version_str = f.readline().replace(\"\\n\", \"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2])","(out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(),","three different places, first in the target attributes, then the global scope, and","major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\"Compute version","\"\"\"Either CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path)","out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for s in release_line.split(\",\")] release_version","Apache License, Version 2.0 (the # \"License\"); you may not use this file","temp_target = temp.relpath(\"my_kernel.%s\" % target) with open(temp_code, \"w\") as out_file: out_file.write(code) if arch","\"CUDA_PATH\" in os.environ: return os.environ[\"CUDA_PATH\"] cmd = [\"which\", \"nvcc\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,","float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc =","fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver <","str The cuda code. target : str The target format arch : str","it is not in the path. On Windows it is not in the","stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg = code","selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1,","under one # or more contributor license agreements. See the NOTICE file #","[options] elif isinstance(options, list): cmd += options else: raise ValueError(\"options must be str","in out.split(\"\\n\") if \"release\" in l][0] release_fields = [s.strip() for s in release_line.split(\",\")]","# to you under the Apache License, Version 2.0 (the # \"License\"); you","required by applicable law or agreed to in writing, # software distributed under","global scope, and finally the GPU device (if it exists). Parameters ---------- target","minor major, _ = parse_compute_version(compute_version) if major >= 7: return True return False","\"8.0\") \"\"\" major, _ = parse_compute_version(compute_version) if major >= 8: return True return","if target not in [\"cubin\", \"ptx\", \"fatbin\"]: raise ValueError(\"target must be in cubin,","out = py_str(out) if proc.returncode == 0: release_line = [l for l in","The compilation target, will be used to determine arch if compute_version isn't specified.","However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is","compiler in the system\"\"\" from __future__ import absolute_import as _abs import subprocess import","from __future__ import absolute_import as _abs import subprocess import os import warnings import","by applicable law or agreed to in writing, # software distributed under the","except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"), \"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,","for additional information # regarding copyright ownership. The ASF licenses this file #","\"\").replace(\"\\r\", \"\") return float(version_str.split(\" \")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \"bin\", \"nvcc\"),","for fn in os.listdir(lib_path): if not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver","not fn.startswith(\"libdevice\"): continue ver = int(fn.split(\".\")[-3].split(\"_\")[-1]) if selected_ver < ver <= arch: selected_ver","not in the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because",": str compute capability of a GPU (e.g. \"8.0\") \"\"\" # 1. Target","\"--version\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out)","compute_version = target.attrs[\"arch\"] # Compute version will be in the form \"sm_{major}{minor}\" major,","the License for the # specific language governing permissions and limitations # under","\"\"\" version_file_path = os.path.join(cuda_path, \"version.txt\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path","applicable law or agreed to in writing, # software distributed under the License","data def find_cuda_path(): \"\"\"Utility function to find cuda path Returns ------- path :","target.attrs: warnings.warn( \"Tensorcore will be disabled due to no CUDA architecture specified.\" \"Try","your target.\" ) return False compute_version = target.attrs[\"arch\"] # Compute version will be","# pylint: disable=raise-missing-from raise RuntimeError(\"Compute version parsing error: \" + str(err)) def have_fp16(compute_version):","CUDA Graph support is provided\"\"\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if","the global scope, and finally the GPU device (if it exists). Parameters ----------","version_file_path = os.path.join(cuda_path, \"lib\", \"cuda\", \"version.txt\") try: with open(version_file_path) as f: version_str =",") return None def parse_compute_version(compute_version): \"\"\"Parse compute capability string to divide major and","Parameters ---------- compute_version : str compute capability of a GPU (e.g. \"6.1\") \"\"\"","disable=invalid-name \"\"\"Utility to invoke nvcc compiler in the system\"\"\" from __future__ import absolute_import","must be str or list of str\") cmd += [\"-o\", file_target] cmd +=","of a GPU (e.g. \"8.0\") \"\"\" # 1. Target if target: if \"arch\""],"string":"[\n \"capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major\",\n \"was specified or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your\",\n \"distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out)\",\n \"subprocess import os import warnings import tvm._ffi from tvm.runtime import ndarray as nd\",\n \"import os import warnings import tvm._ffi from tvm.runtime import ndarray as nd from\",\n \"require nvcc is configured # correctly by default. # if cxx_compiler_path != \\\"\\\":\",\n \"Returns ------- compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\"\",\n \"permissions and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke\",\n \"\\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)\",\n \"11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if\",\n \"License for the # specific language governing permissions and limitations # under the\",\n \"tvm._ffi from tvm.runtime import ndarray as nd from . import utils from .._ffi.base\",\n \"except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to\",\n \"AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major +\",\n \"be str or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code]\",\n \"return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute capability\",\n \"str The architecture options : str or list of str The additional options\",\n \"compute capability of compilation target. Looks for the arch in three different places,\",\n \"(ASF) under one # or more contributor license agreements. See the NOTICE file\",\n \"cuda path Returns ------- path : str Path to cuda root. \\\"\\\"\\\" if\",\n \"Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path)\",\n \"= code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data =\",\n \"if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\"\",\n \"find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch):\",\n \"of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option\",\n \"Compute version will be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version\",\n \"raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it from env\\\") file_target\",\n \"major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as\",\n \"str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd\",\n \"can be used to tell nvcc where to find the c++ compiler #\",\n \"The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu\",\n \": tvm.target.Target, optional The compilation target Returns ------- compute_version : str compute capability\",\n \"warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying it by\",\n \"to tell nvcc where to find the c++ compiler # just in case\",\n \"or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" )\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _\",\n \"if not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def\",\n \"[f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise\",\n \"if major >= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support\",\n \"if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor #\",\n \"!= 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise\",\n \"software distributed under the License is distributed on an # \\\"AS IS\\\" BASIS,\",\n \"\\\"\\\"\\\"Utility function to find cuda path Returns ------- path : str Path to\",\n \"capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if\",\n \"capability or not Parameters ---------- compute_version: str compute capability of a GPU (e.g.\",\n \"minor = parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if\",\n \"in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\")\",\n \"return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the\",\n \"of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will\",\n \"is hard to do runtime compiler detection, we require nvcc is configured #\",\n \"cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\",\n \"def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns ------- path : str\",\n \"compilation target Returns ------- compute_version : str compute capability of a GPU (e.g.\",\n \">= 6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is\",\n \"target is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled\",\n \"\\\"release\\\" in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:]\",\n \"bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\",\",\n \"is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns\",\n \"adding '-arch=sm_xx' to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute\",\n \"compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if\",\n \"str Path to cuda root. Returns ------- version : float The cuda version\",\n \"from tvm.runtime import ndarray as nd from . import utils from .._ffi.base import\",\n \"11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"):\",\n \"The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in\",\n \"then the global scope, and finally the GPU device (if it exists). Parameters\",\n \"return major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute\",\n \"return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns ------- path\",\n \"nd.gpu(0).exist: # auto detect the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\"))\",\n \"capability or not Parameters ---------- compute_version : str, optional compute capability of a\",\n \"RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute\",\n \"return True if major >= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either\",\n \"str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version)\",\n \"parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in\",\n \"= [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields\",\n \"optional The compilation target Returns ------- compute_version : str compute capability of a\",\n \"error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the\",\n \"path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver =\",\n \"under the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES\",\n \"return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation target.\",\n \"additional information # regarding copyright ownership. The ASF licenses this file # to\",\n \"cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else:\",\n \"scope, and finally the GPU device (if it exists). Parameters ---------- target :\",\n \"# \\\"License\\\"); you may not use this file except in compliance # with\",\n \"<filename>python/tvm/contrib/nvcc.py # Licensed to the Apache Software Foundation (ASF) under one # or\",\n \"+ \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it\",\n \"= path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" %\",\n \"\\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as\",\n \"+= arch else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd\",\n \"# However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major\",\n \"Licensed to the Apache Software Foundation (ASF) under one # or more contributor\",\n \"int major version number minor : int minor version number \\\"\\\"\\\" split_ver =\",\n \"disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16\",\n \"= temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is\",\n \"raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function\",\n \"auto detect the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise\",\n \"def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver\",\n \"optional The compilation target, will be used to determine arch if compute_version isn't\",\n \"or more contributor license agreements. See the NOTICE file # distributed with this\",\n \"import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC\",\n \"cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd += [options] elif\",\n \"---------- arch : int The compute architecture in int Returns ------- path :\",\n \"if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch:\",\n \"minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was\",\n \"---------- compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor\",\n \"3: return True if major >= 6: return True return False def have_int8(compute_version):\",\n \"Because it is hard to do runtime compiler detection, we require nvcc is\",\n \"if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd += options else:\",\n \"f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\",\",\n \"OR CONDITIONS OF ANY # KIND, either express or implied. See the License\",\n \"Foundation (ASF) under one # or more contributor license agreements. See the NOTICE\",\n \"+= \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if\",\n \"selected_ver < ver <= arch: selected_ver = ver selected_path = fn if selected_path\",\n \"GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" ) return\",\n \"target, will be used to determine arch if compute_version isn't specified. \\\"\\\"\\\" if\",\n \"Apache Software Foundation (ASF) under one # or more contributor license agreements. See\",\n \"path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if\",\n \"configured # correctly by default. # if cxx_compiler_path != \\\"\\\": # cmd +=\",\n \"your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide\",\n \"compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version\",\n \"the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" +\",\n \"\\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"]\",\n \"if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\",\n \"\\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\")\",\n \"disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor\",\n \"GPU device (if it exists). Parameters ---------- target : tvm.target.Target, optional The compilation\",\n \"path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target,\",\n \"if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"]\",\n \"RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to\",\n \"where to find the c++ compiler # just in case it is not\",\n \"if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver\",\n \"compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2. Global scope from tvm.autotvm.env\",\n \"is provided in the compute capability or not Parameters ---------- compute_version: str compute\",\n \"from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code\",\n \"< ver <= arch: selected_ver = ver selected_path = fn if selected_path is\",\n \"system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess import os import warnings\",\n \"a GPU (e.g. \\\"6.0\\\") Returns ------- major : int major version number minor\",\n \"not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no CUDA architecture\",\n \"callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def\",\n \"in compliance # with the License. You may obtain a copy of the\",\n \"# fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5\",\n \"implied. See the License for the # specific language governing permissions and limitations\",\n \"\\\"Tensorcore will be disabled due to no CUDA architecture specified.\\\" \\\"Try specifying it\",\n \"the compute capability or not Parameters ---------- compute_version : str compute capability of\",\n \"or agreed to in writing, # software distributed under the License is distributed\",\n \"detection, we require nvcc is configured # correctly by default. # if cxx_compiler_path\",\n \"to do runtime compiler detection, we require nvcc is configured # correctly by\",\n \"version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd =\",\n \"in int Returns ------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path =\",\n \"if selected_ver < ver <= arch: selected_ver = ver selected_path = fn if\",\n \"capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp\",\n \"determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist:\",\n \"bytearray The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not\",\n \"cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option can be\",\n \"optional Output file. Return ------ cubin : bytearray The bytearray of the cubin\",\n \"str or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] #\",\n \"def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation target. Looks for\",\n \"isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else:\",\n \"target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" +\",\n \"license agreements. See the NOTICE file # distributed with this work for additional\",\n \"version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path\",\n \"target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\", arch]\",\n \"\\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major +\",\n \"minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major, _ =\",\n \"import warnings import tvm._ffi from tvm.runtime import ndarray as nd from . import\",\n \"Parameters ---------- arch : int The compute architecture in int Returns ------- path\",\n \"open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto\",\n \"\\\"License\\\"); you may not use this file except in compliance # with the\",\n \"nvcc where to find the c++ compiler # just in case it is\",\n \"find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch : int The compute\",\n \"is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due\",\n \"= py_str(out) if proc.returncode == 0: release_line = [l for l in out.split(\\\"\\\\n\\\")\",\n \"compute capability or not Parameters ---------- compute_version : str, optional compute capability of\",\n \"try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None):\",\n \"return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)\",\n \"do runtime compiler detection, we require nvcc is configured # correctly by default.\",\n \"parse_compute_version(compute_version) if major >= 6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either\",\n \"= parse_compute_version(compute_version) if major >= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either\",\n \"= find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True\",\n \"< 10.0: return False return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either\",\n \"arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ---------- code\",\n \"not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\")\",\n \"detect it from env\\\") file_target = path_target if path_target else temp_target cmd =\",\n \"= [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip()\",\n \"not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def find_cuda_path():\",\n \"[\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode\",\n \"compiler detection, we require nvcc is configured # correctly by default. # if\",\n \"arch else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd +=\",\n \"find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path\",\n \"AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3.\",\n \"Parameters ---------- compute_version : str, optional compute capability of a GPU (e.g. \\\"7.0\\\").\",\n \"continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver = ver\",\n \"either express or implied. See the License for the # specific language governing\",\n \"False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute capability or\",\n \"True if major >= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8\",\n \"(e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6: return True\",\n \"7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\"\",\n \"err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def\",\n \"% target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\",\",\n \"lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path)\",\n \"empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda\",\n \"None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return\",\n \"target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ----------\",\n \"not use this file except in compliance # with the License. You may\",\n \"proc.returncode == 0: release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in\",\n \"\\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" ) return False compute_version\",\n \"msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read())\",\n \"\\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation target. Looks\",\n \"a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in\",\n \"Returns ------- path : str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in\",\n \"cuda_ver < 10.0: return False return True except RuntimeError: return False def have_bf16(compute_version):\",\n \"the runtime env. # Because it is hard to do runtime compiler detection,\",\n \"it from env\\\") file_target = path_target if path_target else temp_target cmd = [\\\"nvcc\\\"]\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"# or more contributor license agreements. See the NOTICE file # distributed with\",\n \"file_target = path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\"\",\n \"the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]:\",\n \"error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data:\",\n \"the GPU device (if it exists). Parameters ---------- target : tvm.target.Target, optional The\",\n \"None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\"\",\n \"TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard to do runtime\",\n \"tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try\",\n \"have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver =\",\n \"WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the\",\n \"raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty\",\n \"# under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in\",\n \"release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2])\",\n \"to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return True\",\n \"not Parameters ---------- compute_version : str, optional compute capability of a GPU (e.g.\",\n \"10.0: return False return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16\",\n \"target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx,\",\n \"we cannot detect it from env\\\") file_target = path_target if path_target else temp_target\",\n \"if isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\", arch] if options:\",\n \"= proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path\",\n \"Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path =\",\n \"to find libdevice Parameters ---------- arch : int The compute architecture in int\",\n \"path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue\",\n \"GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in target.attrs:\",\n \": bytearray The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"= int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver = ver selected_path =\",\n \"try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False\",\n \"= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg\",\n \"cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _)\",\n \"selected_ver = ver selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot find\",\n \"None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0,\",\n \"str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if\",\n \"Parameters ---------- cuda_path : str Path to cuda root. Returns ------- version :\",\n \"capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major : int major version\",\n \"be used to tell nvcc where to find the c++ compiler # just\",\n \"def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and minor version Parameters\",\n \"form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor\",\n \"path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env.\",\n \"# regarding copyright ownership. The ASF licenses this file # to you under\",\n \"minor == 3: return True if major >= 6: return True return False\",\n \"correctly by default. # if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path]\",\n \"file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch :\",\n \"compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError,\",\n \"raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support\",\n \"more contributor license agreements. See the NOTICE file # distributed with this work\",\n \"float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to\",\n \"option can be used to tell nvcc where to find the c++ compiler\",\n \"root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc\",\n \"= get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2):\",\n \"major >= 6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support\",\n \"minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if\",\n \"[\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd += [options] elif isinstance(options, list):\",\n \"os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find\",\n \"RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def\",\n \"def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute capability or not\",\n \"\\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support in reference to: #\",\n \"None: if nd.gpu(0).exist: # auto detect the compute arch argument arch = \\\"sm_\\\"\",\n \"is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters\",\n \"+= [options] elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options must be\",\n \"return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot\",\n \"+ minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel\",\n \"utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda\",\n \"and minor version Parameters ---------- compute_version : str compute capability of a GPU\",\n \"{}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except\",\n \"__future__ import absolute_import as _abs import subprocess import os import warnings import tvm._ffi\",\n \"# auto detect the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else:\",\n \"cuda version Parameters ---------- cuda_path : str Path to cuda root. Returns -------\",\n \"used to tell nvcc where to find the c++ compiler # just in\",\n \"disabled due to no CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx'\",\n \"0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise\",\n \"Looks for the arch in three different places, first in the target attributes,\",\n \"path. On Windows it is not in the path by default. # However,\",\n \"---------- compute_version : str, optional compute capability of a GPU (e.g. \\\"7.0\\\"). target\",\n \"version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA\",\n \"architecture in int Returns ------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path\",\n \"\\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path):\",\n \"2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major,\",\n \"https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return True if major\",\n \"from env. Parameters ---------- code : str The cuda code. target : str\",\n \"path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path :\",\n \"GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will be used\",\n \"CONDITIONS OF ANY # KIND, either express or implied. See the License for\",\n \"The cuda code. target : str The target format arch : str The\",\n \"in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor =\",\n \"6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in\",\n \"passed, and we cannot detect it from env\\\") file_target = path_target if path_target\",\n \"== 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path\",\n \"\\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" ) return None def\",\n \"work for additional information # regarding copyright ownership. The ASF licenses this file\",\n \"[s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if\",\n \"= \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def\",\n \"compute_version = tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not in target.attrs:\",\n \"= os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver\",\n \"# Because it is hard to do runtime compiler detection, we require nvcc\",\n \"# NOTE: ccbin option can be used to tell nvcc where to find\",\n \"selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path,\",\n \"'-arch=sm_xx' to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute version\",\n \"the arch in three different places, first in the target attributes, then the\",\n \"compute capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major : int major\",\n \": str, optional Output file. Return ------ cubin : bytearray The bytearray of\",\n \"licenses this file # to you under the Apache License, Version 2.0 (the\",\n \"= subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode\",\n \"_) = proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\"))\",\n \"------- path : str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ:\",\n \"and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc\",\n \"# \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either\",\n \"if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")):\",\n \"and we cannot detect it from env\\\") file_target = path_target if path_target else\",\n \"os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\",\",\n \"def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env.\",\n \"result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path\",\n \"express or implied. See the License for the # specific language governing permissions\",\n \"cmd += arch else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str):\",\n \"root. Returns ------- version : float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path,\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"\\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"]\",\n \"warnings.warn( \\\"Tensorcore will be disabled due to no CUDA architecture specified.\\\" \\\"Try specifying\",\n \"msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise\",\n \"\\\"w\\\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect\",\n \"ndarray as nd from . import utils from .._ffi.base import py_str def compile_cuda(code,\",\n \"to cuda root. Returns ------- version : float The cuda version \\\"\\\"\\\" version_file_path\",\n \"cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code,\",\n \"we require nvcc is configured # correctly by default. # if cxx_compiler_path !=\",\n \"under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the\",\n \"\\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda\",\n \"= 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1,\",\n \"limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler\",\n \"cubin : bytearray The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir() if\",\n \": str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ =\",\n \"runtime env. # Because it is hard to do runtime compiler detection, we\",\n \"format arch : str The architecture options : str or list of str\",\n \"str The target format arch : str The architecture options : str or\",\n \"\\\"\\\"\\\"Utility function to get compute capability of compilation target. Looks for the arch\",\n \"you under the Apache License, Version 2.0 (the # \\\"License\\\"); you may not\",\n \"specified or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\"\",\n \"is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or\",\n \"= compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except\",\n \"tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore\",\n \"(e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will be used to\",\n \"target.attrs[\\\"arch\\\"] # Compute version will be in the form \\\"sm_{major}{minor}\\\" major, minor =\",\n \"License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS\",\n \"with NVCC from env. Parameters ---------- code : str The cuda code. target\",\n \"def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path : str\",\n \"------- major : int major version number minor : int minor version number\",\n \"return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute\",\n \"tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return\",\n \"Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor\",\n \"language governing permissions and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility\",\n \"str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute capability or\",\n \"capability of compilation target. Looks for the arch in three different places, first\",\n \"target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return\",\n \"cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged\",\n \"compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not\",\n \"Parameters ---------- compute_version : str compute capability of a GPU (e.g. \\\"6.0\\\") Returns\",\n \"of the cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\",\",\n \"\\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target\",\n \"cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return\",\n \"# correctly by default. # if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\",\",\n \"py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error:\",\n \"with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except\",\n \"<= arch: selected_ver = ver selected_path = fn if selected_path is None: raise\",\n \"\\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return\",\n \"6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided\",\n \"Windows it is not in the path by default. # However, we cannot\",\n \"a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support\",\n \"\\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target\",\n \"subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg =\",\n \"int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver = ver selected_path = fn\",\n \"find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except\",\n \"def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute capability or not\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as\",\n \"= parse_compute_version(compute_version) if major >= 6: return True return False def have_tensorcore(compute_version=None, target=None):\",\n \"py_str(out) if proc.returncode == 0: release_line = [l for l in out.split(\\\"\\\\n\\\") if\",\n \"if proc.returncode == 0: release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\"\",\n \"major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major >= 7:\",\n \". import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None):\",\n \"raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version\",\n \"under the Apache License, Version 2.0 (the # \\\"License\\\"); you may not use\",\n \"\\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support in reference to:\",\n \"\\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc =\",\n \">= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided\",\n \"in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda\",\n \"code : str The cuda code. target : str The target format arch\",\n \"as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass\",\n \"_abs import subprocess import os import warnings import tvm._ffi from tvm.runtime import ndarray\",\n \"by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. #\",\n \"(9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else:\",\n \"get compute capability of compilation target. Looks for the arch in three different\",\n \"ccbin option can be used to tell nvcc where to find the c++\",\n \"by adding '-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute\",\n \"License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"env. # Because it is hard to do runtime compiler detection, we require\",\n \"+= [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd\",\n \"not in the path. On Windows it is not in the path by\",\n \"if proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg +=\",\n \"compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None\",\n \"\\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1])\",\n \"file_target] cmd += [temp_code] # NOTE: ccbin option can be used to tell\",\n \"---------- target : tvm.target.Target, optional The compilation target Returns ------- compute_version : str\",\n \"is not in the path. On Windows it is not in the path\",\n \"os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver\",\n \"or implied. See the License for the # specific language governing permissions and\",\n \"from env\\\") file_target = path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd\",\n \"path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return\",\n \"\\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch : int The compute architecture\",\n \"major, _ = parse_compute_version(compute_version) if major >= 7: return True return False def\",\n \"return major + \\\".\\\" + minor # 2. Global scope from tvm.autotvm.env import\",\n \"\\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major,\",\n \"str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option can\",\n \"pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import\",\n \"= py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if\",\n \"distributed under the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT\",\n \"in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code\",\n \"os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =\",\n \"0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0,\",\n \"The compute architecture in int Returns ------- path : str Path to libdevice.\",\n \": str The cuda code. target : str The target format arch :\",\n \"= os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\",\",\n \"proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return\",\n \"------- version : float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if\",\n \"of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16\",\n \"in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\"\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _\",\n \": str, optional compute capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target,\",\n \"ver selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for\",\n \"release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return\",\n \"adding '-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability\",\n \"selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice\",\n \"cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except RuntimeError:\",\n \"= os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if\",\n \"no CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\"\",\n \"exists). Parameters ---------- target : tvm.target.Target, optional The compilation target Returns ------- compute_version\",\n \"\\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6: return True return False\",\n \"= \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot\",\n \"[\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code =\",\n \"cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd\",\n \"= os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot\",\n \"version Parameters ---------- cuda_path : str Path to cuda root. Returns ------- version\",\n \"bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return\",\n \"def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute capability or not\",\n \"to find the c++ compiler # just in case it is not in\",\n \"compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target:\",\n \"= int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from\",\n \"GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support in\",\n \"+= options else: raise ValueError(\\\"options must be str or list of str\\\") cmd\",\n \"= bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\")\",\n \"\\\"\\\"\\\"Either bf16 support is provided in the compute capability or not Parameters ----------\",\n \"if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major\",\n \"proc.communicate() out = py_str(out) if proc.returncode == 0: release_line = [l for l\",\n \"arch] if options: if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd\",\n \"selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0,\",\n \"or not Parameters ---------- compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\")\",\n \"provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0: return\",\n \"os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try:\",\n \"for the arch in three different places, first in the target attributes, then\",\n \"(e.g. \\\"6.0\\\") Returns ------- major : int major version number minor : int\",\n \"target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute capability or not Parameters\",\n \"Unless required by applicable law or agreed to in writing, # software distributed\",\n \"specifying it by adding '-arch=sm_xx' to your target.\\\" ) return False compute_version =\",\n \"+ minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture\",\n \"import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major\",\n \"pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" +\",\n \"if \\\"release\\\" in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version =\",\n \"int Returns ------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path()\",\n \"distributed with this work for additional information # regarding copyright ownership. The ASF\",\n \"cmd += options else: raise ValueError(\\\"options must be str or list of str\\\")\",\n \"RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters\",\n \"nd from . import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None,\",\n \"RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result\",\n \"in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver\",\n \"\\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out\",\n \"major version number minor : int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\")\",\n \"if major >= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph\",\n \"False return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is\",\n \"cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode !=\",\n \"regarding copyright ownership. The ASF licenses this file # to you under the\",\n \"cuda code with NVCC from env. Parameters ---------- code : str The cuda\",\n \"scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor =\",\n \"_ = parse_compute_version(compute_version) if major >= 6: return True return False def have_tensorcore(compute_version=None,\",\n \"not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\")\",\n \"# KIND, either express or implied. See the License for the # specific\",\n \"= [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =\",\n \"False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute capability or\",\n \"os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function\",\n \"hard to do runtime compiler detection, we require nvcc is configured # correctly\",\n \"tvm.target.Target, optional The compilation target Returns ------- compute_version : str compute capability of\",\n \"CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" )\",\n \"this work for additional information # regarding copyright ownership. The ASF licenses this\",\n \"= ver selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice\",\n \"ANY # KIND, either express or implied. See the License for the #\",\n \"return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc\",\n \"and finally the GPU device (if it exists). Parameters ---------- target : tvm.target.Target,\",\n \"[os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()\",\n \"contributor license agreements. See the NOTICE file # distributed with this work for\",\n \"10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will be\",\n \"The architecture options : str or list of str The additional options path_target\",\n \"= fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch))\",\n \"default. # if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc =\",\n \"False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in the form \\\"sm_{major}{minor}\\\"\",\n \"have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute capability or not Parameters\",\n \"Returns ------- version : float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\")\",\n \"function to get cuda version Parameters ---------- cuda_path : str Path to cuda\",\n \"provided in the compute capability or not Parameters ---------- compute_version: str compute capability\",\n \"get cuda version Parameters ---------- cuda_path : str Path to cuda root. Returns\",\n \"file. Return ------ cubin : bytearray The bytearray of the cubin \\\"\\\"\\\" temp\",\n \"= [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd +=\",\n \"path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str\",\n \"else: raise ValueError(\\\"options must be str or list of str\\\") cmd += [\\\"-o\\\",\",\n \"will be used to determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version\",\n \"3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or\",\n \"if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not\",\n \"---------- cuda_path : str Path to cuda root. Returns ------- version : float\",\n \"because the runtime env. # Because it is hard to do runtime compiler\",\n \"Return ------ cubin : bytearray The bytearray of the cubin \\\"\\\"\\\" temp =\",\n \"ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" +\",\n \"\\\"\\\"\\\"Either TensorCore support is provided in the compute capability or not Parameters ----------\",\n \"# Compute version will be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1]\",\n \"cannot detect it from env\\\") file_target = path_target if path_target else temp_target cmd\",\n \"of compilation target. Looks for the arch in three different places, first in\",\n \"utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in\",\n \"See the License for the # specific language governing permissions and limitations #\",\n \": int The compute architecture in int Returns ------- path : str Path\",\n \"arch : str The architecture options : str or list of str The\",\n \"# pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__\",\n \"repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as\",\n \"c++ compiler # just in case it is not in the path. On\",\n \"minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2. Global scope\",\n \"IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or\",\n \"---------- compute_version : str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major,\",\n \"2.0 (the # \\\"License\\\"); you may not use this file except in compliance\",\n \"or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no\",\n \"a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6:\",\n \"if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd,\",\n \"to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path):\",\n \"= AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist:\",\n \"find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function\",\n \"path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError:\",\n \"GPU (e.g. \\\"6.0\\\") Returns ------- major : int major version number minor :\",\n \"bf16 support is provided in the compute capability or not Parameters ---------- compute_version\",\n \"KIND, either express or implied. See the License for the # specific language\",\n \"\\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ---------- code : str The\",\n \"target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2.\",\n \"arch in three different places, first in the target attributes, then the global\",\n \"\\\"\\\"\\\"Either fp16 support is provided in the compute capability or not Parameters ----------\",\n \"have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute capability or not\",\n \"is provided in the compute capability or not Parameters ---------- compute_version : str,\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"target attributes, then the global scope, and finally the GPU device (if it\",\n \"in case it is not in the path. On Windows it is not\",\n \"def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch : int The\",\n \"CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f:\",\n \"compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if\",\n \"if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is\",\n \"provided in the compute capability or not Parameters ---------- compute_version : str compute\",\n \": str or list of str The additional options path_target : str, optional\",\n \"path : str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return\",\n \"raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target =\",\n \"arch: selected_ver = ver selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot\",\n \"list): cmd += options else: raise ValueError(\\\"options must be str or list of\",\n \"os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path,\",\n \"minor : int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major =\",\n \"(e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8: return True\",\n \"as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err))\",\n \"compliance # with the License. You may obtain a copy of the License\",\n \"float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): #\",\n \"use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard to do\",\n \"arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version\",\n \"specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if\",\n \"be disabled due to no CUDA architecture specified.\\\" \\\"Try specifying it by adding\",\n \"\\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it from\",\n \"py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path,\",\n \"= f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path,\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See\",\n \"with the License. You may obtain a copy of the License at #\",\n \"architecture was specified or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to\",\n \"information # regarding copyright ownership. The ASF licenses this file # to you\",\n \"is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path)\",\n \"[\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option can be used to\",\n \"for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0]\",\n \"first in the target attributes, then the global scope, and finally the GPU\",\n \"import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile\",\n \"cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"]\",\n \"the target attributes, then the global scope, and finally the GPU device (if\",\n \"ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it from env\\\") file_target =\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no CUDA architecture specified.\\\"\",\n \"\\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\", arch] if\",\n \"one # or more contributor license agreements. See the NOTICE file # distributed\",\n \"cmd += [temp_code] # NOTE: ccbin option can be used to tell nvcc\",\n \"fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver =\",\n \"except in compliance # with the License. You may obtain a copy of\",\n \"the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess import os import\",\n \"ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\")\",\n \"device (if it exists). Parameters ---------- target : tvm.target.Target, optional The compilation target\",\n \"the compute capability or not Parameters ---------- compute_version : str, optional compute capability\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"you may not use this file except in compliance # with the License.\",\n \"minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor =\",\n \"str compute capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major : int\",\n \"------ cubin : bytearray The bytearray of the cubin \\\"\\\"\\\" temp = utils.tempdir()\",\n \"to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\",\",\n \"\\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out =\",\n \"by default. # if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc\",\n \"\\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to\",\n \"os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path,\",\n \"to get compute capability of compilation target. Looks for the arch in three\",\n \"an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,\",\n \"+= [temp_code] # NOTE: ccbin option can be used to tell nvcc where\",\n \"attributes, then the global scope, and finally the GPU device (if it exists).\",\n \"+ \\\".\\\" + minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope #\",\n \"\\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6: return True return\",\n \"Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver\",\n \"compiler # just in case it is not in the path. On Windows\",\n \"or list of str The additional options path_target : str, optional Output file.\",\n \"cuda code. target : str The target format arch : str The architecture\",\n \"ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver = ver selected_path\",\n \"else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if\",\n \"target : str The target format arch : str The architecture options :\",\n \"have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute capability or not Parameters\",\n \"9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for\",\n \"detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" ) return None\",\n \"cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()\",\n \"Parameters ---------- target : tvm.target.Target, optional The compilation target Returns ------- compute_version :\",\n \"temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file:\",\n \"return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided\",\n \": str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\")\",\n \"fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path\",\n \"libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try:\",\n \"The compilation target Returns ------- compute_version : str compute capability of a GPU\",\n \"compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor =\",\n \"major + \\\".\\\" + minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope\",\n \"will be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major\",\n \">= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is\",\n \"open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError:\",\n \"NOTE: ccbin option can be used to tell nvcc where to find the\",\n \"of str The additional options path_target : str, optional Output file. Return ------\",\n \"minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3. GPU if\",\n \"this file # to you under the Apache License, Version 2.0 (the #\",\n \"GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 6: return\",\n \"support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver <\",\n \"release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in\",\n \"\\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in target.attrs: compute_version =\",\n \".._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with\",\n \"+= [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd += [options] elif isinstance(options,\",\n \"Returns ------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path\",\n \"# # Unless required by applicable law or agreed to in writing, #\",\n \"proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0:\",\n \"version will be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version =\",\n \"try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError)\",\n \"proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if\",\n \"find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability\",\n \"to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to\",\n \"in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for\",\n \"version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided\",\n \"places, first in the target attributes, then the global scope, and finally the\",\n \"compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) #\",\n \"version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1])\",\n \"11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not\",\n \"\\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target\",\n \"int The compute architecture in int Returns ------- path : str Path to\",\n \"[\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch else: cmd +=\",\n \"if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1]\",\n \"to no CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your\",\n \"Version 2.0 (the # \\\"License\\\"); you may not use this file except in\",\n \"for the # specific language governing permissions and limitations # under the License.\",\n \"\\\"7.0\\\"). target : tvm.target.Target, optional The compilation target, will be used to determine\",\n \"License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from\",\n \"isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd += options else: raise\",\n \"compute capability or not Parameters ---------- compute_version: str compute capability of a GPU\",\n \"fp16 support is provided in the compute capability or not Parameters ---------- compute_version:\",\n \"split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major, minor\",\n \"repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None\",\n \"the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime\",\n \"in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\"\",\n \"FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\",\n \"@tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch : int\",\n \"10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn\",\n \"is provided in the compute capability or not Parameters ---------- compute_version : str\",\n \"+= [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin option can be used\",\n \"tvm.target.Target, optional The compilation target, will be used to determine arch if compute_version\",\n \"= parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major\",\n \"OF ANY # KIND, either express or implied. See the License for the\",\n \"BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied.\",\n \"= utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be\",\n \"from . import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None,\",\n \"0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg)\",\n \"= [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out\",\n \"provided in the compute capability or not Parameters ---------- compute_version : str, optional\",\n \"version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ---------- arch\",\n \"[\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out =\",\n \": str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ =\",\n \"detect the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy)\",\n \"get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path : str Path\",\n \"proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path =\",\n \"by adding '-arch=sm_xx' to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] #\",\n \"for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for s\",\n \"get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path\",\n \"os import warnings import tvm._ffi from tvm.runtime import ndarray as nd from .\",\n \"# Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with\",\n \"# specific language governing permissions and limitations # under the License. # pylint:\",\n \"isinstance(arch, list): cmd += arch else: cmd += [\\\"-arch\\\", arch] if options: if\",\n \"Parameters ---------- compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major,\",\n \"function to find cuda path Returns ------- path : str Path to cuda\",\n \"parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and minor version Parameters ----------\",\n \": str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"]\",\n \"= get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except RuntimeError: return\",\n \"it is not in the path by default. # However, we cannot use\",\n \"\\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA\",\n \"as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect the\",\n \"\\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8: return True return False\",\n \"License, Version 2.0 (the # \\\"License\\\"); you may not use this file except\",\n \"we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard\",\n \"= tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not in target.attrs: warnings.warn(\",\n \"== 0: release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0]\",\n \"architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" ) return\",\n \"stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg = code msg\",\n \"RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get\",\n \"due to no CUDA architecture specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to\",\n \"this file except in compliance # with the License. You may obtain a\",\n \"find cuda path Returns ------- path : str Path to cuda root. \\\"\\\"\\\"\",\n \"data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility\",\n \": int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0])\",\n \"may not use this file except in compliance # with the License. You\",\n \"to divide major and minor version Parameters ---------- compute_version : str compute capability\",\n \"list of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE: ccbin\",\n \"options path_target : str, optional Output file. Return ------ cubin : bytearray The\",\n \"code. target : str The target format arch : str The architecture options\",\n \"cubin \\\"\\\"\\\" temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise\",\n \"f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd\",\n \"os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <=\",\n \"ASF licenses this file # to you under the Apache License, Version 2.0\",\n \"nvcc is configured # correctly by default. # if cxx_compiler_path != \\\"\\\": #\",\n \": str compute capability of a GPU (e.g. \\\"6.0\\\") Returns ------- major :\",\n \"of a GPU (e.g. \\\"6.0\\\") Returns ------- major : int major version number\",\n \"return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying\",\n \"stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: release_line\",\n \"have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute capability or not Parameters\",\n \"default. # However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because\",\n \"GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU\",\n \"Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd =\",\n \"read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters\",\n \"is not in the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH\",\n \"cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice Parameters ----------\",\n \"the compute capability or not Parameters ---------- compute_version: str compute capability of a\",\n \"import absolute_import as _abs import subprocess import os import warnings import tvm._ffi from\",\n \"reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return\",\n \"# distributed with this work for additional information # regarding copyright ownership. The\",\n \"of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >=\",\n \"is not passed, and we cannot detect it from env\\\") file_target = path_target\",\n \"msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data\",\n \"is configured # correctly by default. # if cxx_compiler_path != \\\"\\\": # cmd\",\n \"to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs\",\n \"cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path,\",\n \"support is provided in the compute capability or not Parameters ---------- compute_version: str\",\n \"on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #\",\n \"s in release_line.split(\\\",\\\")] release_version = [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor\",\n \"target. Looks for the arch in three different places, first in the target\",\n \"out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect the compute arch\",\n \"as _abs import subprocess import os import warnings import tvm._ffi from tvm.runtime import\",\n \"options: if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd += options\",\n \"str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version)\",\n \"RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is\",\n \"temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list):\",\n \"temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None:\",\n \"NVCC from env. Parameters ---------- code : str The cuda code. target :\",\n \"_ = parse_compute_version(compute_version) if major >= 7: return True return False def have_cudagraph():\",\n \"with this work for additional information # regarding copyright ownership. The ASF licenses\",\n \"out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: # auto detect the compute\",\n \"# https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3: return True if\",\n \"find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ----------\",\n \"it exists). Parameters ---------- target : tvm.target.Target, optional The compilation target Returns -------\",\n \"= proc.communicate() if proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\"\",\n \": int major version number minor : int minor version number \\\"\\\"\\\" split_ver\",\n \"(IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\"\",\n \"function to find libdevice Parameters ---------- arch : int The compute architecture in\",\n \"if target is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be\",\n \"stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: return\",\n \"compilation target, will be used to determine arch if compute_version isn't specified. \\\"\\\"\\\"\",\n \"the License. You may obtain a copy of the License at # #\",\n \": str Path to cuda root. Returns ------- version : float The cuda\",\n \"target Returns ------- compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\")\",\n \"16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor\",\n \"\\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\"\",\n \"\\\"6.0\\\") Returns ------- major : int major version number minor : int minor\",\n \"selected_path = fn if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch\",\n \"agreements. See the NOTICE file # distributed with this work for additional information\",\n \"(if it exists). Parameters ---------- target : tvm.target.Target, optional The compilation target Returns\",\n \"in three different places, first in the target attributes, then the global scope,\",\n \"CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying it by adding '-arch=sm_xx'\",\n \"os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find\",\n \"tell nvcc where to find the c++ compiler # just in case it\",\n \"# just in case it is not in the path. On Windows it\",\n \"writing, # software distributed under the License is distributed on an # \\\"AS\",\n \"False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute capability\",\n \"be in the form \\\"sm_{major}{minor}\\\" major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major +\",\n \"list): cmd += arch else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options,\",\n \"major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3. GPU\",\n \"elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options must be str or\",\n \"not Parameters ---------- compute_version: str compute capability of a GPU (e.g. \\\"6.0\\\") \\\"\\\"\\\"\",\n \"in the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because the\",\n \"\\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result is generated\\\") return data\",\n \"path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation\",\n \"as nd from . import utils from .._ffi.base import py_str def compile_cuda(code, target=\\\"ptx\\\",\",\n \"------- compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" #\",\n \"find the c++ compiler # just in case it is not in the\",\n \"return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and minor\",\n \"[temp_code] # NOTE: ccbin option can be used to tell nvcc where to\",\n \"it is hard to do runtime compiler detection, we require nvcc is configured\",\n \"out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(), \\\"../..\\\")) cuda_path = \\\"/usr/local/cuda\\\"\",\n \"or not Parameters ---------- compute_version : str compute capability of a GPU (e.g.\",\n \"compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if\",\n \"major >= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support\",\n \"------- path : str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path =\",\n \"NOTICE file # distributed with this work for additional information # regarding copyright\",\n \"---------- code : str The cuda code. target : str The target format\",\n \"warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute\",\n \"pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,\",\n \"str or list of str The additional options path_target : str, optional Output\",\n \"isinstance(options, list): cmd += options else: raise ValueError(\\\"options must be str or list\",\n \"True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in\",\n \") return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in the\",\n \"code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target,\",\n \"\\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\")\",\n \"major and minor version Parameters ---------- compute_version : str compute capability of a\",\n \"\\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute\",\n \"os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver =\",\n \"number minor : int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major\",\n \"options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ---------- code :\",\n \"specified.\\\" \\\"Try specifying it by adding '-arch=sm_xx' to your target.\\\" ) return False\",\n \"path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from env. Parameters ---------- code : str\",\n \"it by adding '-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse\",\n \"architecture options : str or list of str The additional options path_target :\",\n \"env. Parameters ---------- code : str The cuda code. target : str The\",\n \"specifying it by adding '-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version):\",\n \"in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with\",\n \"divide major and minor version Parameters ---------- compute_version : str compute capability of\",\n \"tvm.runtime import ndarray as nd from . import utils from .._ffi.base import py_str\",\n \"The target format arch : str The architecture options : str or list\",\n \"different places, first in the target attributes, then the global scope, and finally\",\n \"\\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd,\",\n \"the Apache License, Version 2.0 (the # \\\"License\\\"); you may not use this\",\n \"int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: #\",\n \"in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor == 3:\",\n \"AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return\",\n \"l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version = [f[1:] for f\",\n \"cuda_path : str Path to cuda root. Returns ------- version : float The\",\n \"else: if target is None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will\",\n \"list of str The additional options path_target : str, optional Output file. Return\",\n \"find libdevice Parameters ---------- arch : int The compute architecture in int Returns\",\n \"compute_version = target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor\",\n \"The additional options path_target : str, optional Output file. Return ------ cubin :\",\n \"in the compute capability or not Parameters ---------- compute_version : str, optional compute\",\n \"\\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no CUDA\",\n \"= \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch):\",\n \"int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor\",\n \"capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major\",\n \"arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we\",\n \"support is provided in the compute capability or not Parameters ---------- compute_version :\",\n \"in the target attributes, then the global scope, and finally the GPU device\",\n \"= target.attrs[\\\"arch\\\"] # Compute version will be in the form \\\"sm_{major}{minor}\\\" major, minor\",\n \"RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find libdevice\",\n \"if cuda_ver < 10.0: return False return True except RuntimeError: return False def\",\n \"return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get\",\n \"\\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\",\",\n \"will be disabled due to no CUDA architecture specified.\\\" \\\"Try specifying it by\",\n \"return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the compute capability\",\n \"= os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path =\",\n \"return False return True except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support\",\n \"error: empty result is generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find\",\n \"ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\"\",\n \"options : str or list of str The additional options path_target : str,\",\n \"runtime compiler detection, we require nvcc is configured # correctly by default. #\",\n \"tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying it\",\n \"pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either\",\n \"False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path()\",\n \"The ASF licenses this file # to you under the Apache License, Version\",\n \"file except in compliance # with the License. You may obtain a copy\",\n \"\\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect\",\n \"+ \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No\",\n \"generated\\\") return data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns -------\",\n \"file # to you under the Apache License, Version 2.0 (the # \\\"License\\\");\",\n \"Parameters ---------- code : str The cuda code. target : str The target\",\n \"release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields =\",\n \"parse_compute_version(compute_version) if major >= 7: return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA\",\n \"target : tvm.target.Target, optional The compilation target, will be used to determine arch\",\n \"int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise\",\n \": str The architecture options : str or list of str The additional\",\n \"str): cmd += [options] elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options\",\n \"capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation target,\",\n \"target format arch : str The architecture options : str or list of\",\n \"string to divide major and minor version Parameters ---------- compute_version : str compute\",\n \"= major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major >=\",\n \"return True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try:\",\n \"= find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA\",\n \": str The target format arch : str The architecture options : str\",\n \"not passed, and we cannot detect it from env\\\") file_target = path_target if\",\n \"options else: raise ValueError(\\\"options must be str or list of str\\\") cmd +=\",\n \"import subprocess import os import warnings import tvm._ffi from tvm.runtime import ndarray as\",\n \"compute architecture in int Returns ------- path : str Path to libdevice. \\\"\\\"\\\"\",\n \"if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1, 11.2): path =\",\n \"= temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code)\",\n \"in the compute capability or not Parameters ---------- compute_version: str compute capability of\",\n \"in the compute capability or not Parameters ---------- compute_version : str compute capability\",\n \"(out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: release_line =\",\n \"\\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility\",\n \"compute capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The compilation\",\n \"return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in the form\",\n \"str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version)\",\n \"minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing\",\n \"path Returns ------- path : str Path to cuda root. \\\"\\\"\\\" if \\\"CUDA_PATH\\\"\",\n \"(the # \\\"License\\\"); you may not use this file except in compliance #\",\n \"a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8:\",\n \"the c++ compiler # just in case it is not in the path.\",\n \"+= [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if\",\n \"if selected_path is None: raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path =\",\n \"os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0\",\n \"raise RuntimeError(\\\"Cannot find libdevice for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path\",\n \"major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def\",\n \"in the path. On Windows it is not in the path by default.\",\n \"+ \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major >= 7: return\",\n \"+ str(err)) def have_fp16(compute_version): \\\"\\\"\\\"Either fp16 support is provided in the compute capability\",\n \"in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\",\n \"used to determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None:\",\n \"(out, _) = proc.communicate() if proc.returncode != 0: msg = code msg +=\",\n \"\\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out)\",\n \"target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in\",\n \"0: release_line = [l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields\",\n \"to get cuda version Parameters ---------- cuda_path : str Path to cuda root.\",\n \"just in case it is not in the path. On Windows it is\",\n \"raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function to find\",\n \"optional compute capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional The\",\n \"Output file. Return ------ cubin : bytearray The bytearray of the cubin \\\"\\\"\\\"\",\n \"nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess\",\n \"law or agreed to in writing, # software distributed under the License is\",\n \"libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): #\",\n \"5 and minor == 3: return True if major >= 6: return True\",\n \"str The additional options path_target : str, optional Output file. Return ------ cubin\",\n \"specific language governing permissions and limitations # under the License. # pylint: disable=invalid-name\",\n \"# software distributed under the License is distributed on an # \\\"AS IS\\\"\",\n \"to you under the Apache License, Version 2.0 (the # \\\"License\\\"); you may\",\n \"case it is not in the path. On Windows it is not in\",\n \"cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2, 11.0, 11.1,\",\n \"compute_version = major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major\",\n \"if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility\",\n \"else: raise ValueError(\\\"arch(sm_xy) is not passed, and we cannot detect it from env\\\")\",\n \"file # distributed with this work for additional information # regarding copyright ownership.\",\n \"1. Target if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor\",\n \"Target if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major, minor =\",\n \"target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major\",\n \"major, minor = parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions\",\n \"# Licensed to the Apache Software Foundation (ASF) under one # or more\",\n \"version Parameters ---------- compute_version : str compute capability of a GPU (e.g. \\\"6.0\\\")\",\n \"code with NVCC from env. Parameters ---------- code : str The cuda code.\",\n \"else temp_target cmd = [\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch,\",\n \"import ndarray as nd from . import utils from .._ffi.base import py_str def\",\n \"arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed,\",\n \"\\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return major,\",\n \"f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\")\",\n \"copyright ownership. The ASF licenses this file # to you under the Apache\",\n \"libdevice Parameters ---------- arch : int The compute architecture in int Returns -------\",\n \"ownership. The ASF licenses this file # to you under the Apache License,\",\n \"= os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path =\",\n \"if arch is None: if nd.gpu(0).exist: # auto detect the compute arch argument\",\n \"Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not\",\n \"import tvm._ffi from tvm.runtime import ndarray as nd from . import utils from\",\n \"\\\"\\\"\\\"Parse compute capability string to divide major and minor version Parameters ---------- compute_version\",\n \"= [f[1:] for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor)\",\n \"(e.g. \\\"6.0\\\") \\\"\\\"\\\" major, minor = parse_compute_version(compute_version) # fp 16 support in reference\",\n \"not Parameters ---------- compute_version : str compute capability of a GPU (e.g. \\\"6.1\\\")\",\n \"must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" %\",\n \"to find cuda path Returns ------- path : str Path to cuda root.\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"temp = utils.tempdir() if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must\",\n \"warnings import tvm._ffi from tvm.runtime import ndarray as nd from . import utils\",\n \"from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1]\",\n \"py_str def compile_cuda(code, target=\\\"ptx\\\", arch=None, options=None, path_target=None): \\\"\\\"\\\"Compile cuda code with NVCC from\",\n \"# 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch:\",\n \"# Unless required by applicable law or agreed to in writing, # software\",\n \"arch is None: if nd.gpu(0).exist: # auto detect the compute arch argument arch\",\n \"capability or not Parameters ---------- compute_version : str compute capability of a GPU\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate()\",\n \"None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and minor version\",\n \"TensorCore support is provided in the compute capability or not Parameters ---------- compute_version\",\n \"CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver\",\n \"the compute arch argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is\",\n \"libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of\",\n \"target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist:\",\n \"_) = proc.communicate() out = py_str(out) if proc.returncode == 0: release_line = [l\",\n \"cuda root. Returns ------- version : float The cuda version \\\"\\\"\\\" version_file_path =\",\n \"% target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None: if\",\n \"argument arch = \\\"sm_\\\" + \\\"\\\".join(nd.gpu(0).compute_version.split(\\\".\\\")) else: raise ValueError(\\\"arch(sm_xy) is not passed, and\",\n \"to in writing, # software distributed under the License is distributed on an\",\n \"+= py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation\",\n \"path : str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path,\",\n \"= compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2. Global scope from\",\n \"fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and\",\n \"def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the compute capability or\",\n \"agreed to in writing, # software distributed under the License is distributed on\",\n \"# 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn( \\\"No CUDA architecture was specified\",\n \"or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd += [temp_code] # NOTE:\",\n \"compute_version : str, optional compute capability of a GPU (e.g. \\\"7.0\\\"). target :\",\n \"capability string to divide major and minor version Parameters ---------- compute_version : str\",\n \"major : int major version number minor : int minor version number \\\"\\\"\\\"\",\n \"= proc.communicate() out = py_str(out) if proc.returncode == 0: release_line = [l for\",\n \"find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns ------- path : str Path\",\n \"minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as err: # pylint:\",\n \"\\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express\",\n \"---------- compute_version : str compute capability of a GPU (e.g. \\\"6.0\\\") Returns -------\",\n \"== 3: return True if major >= 6: return True return False def\",\n \"minor version Parameters ---------- compute_version : str compute capability of a GPU (e.g.\",\n \"compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1.\",\n \"major == 5 and minor == 3: return True if major >= 6:\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"the path. On Windows it is not in the path by default. #\",\n \"function to get compute capability of compilation target. Looks for the arch in\",\n \"and minor == 3: return True if major >= 6: return True return\",\n \"return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\")\",\n \": tvm.target.Target, optional The compilation target, will be used to determine arch if\",\n \"to the Apache Software Foundation (ASF) under one # or more contributor license\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"!= \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,\",\n \"path_target : str, optional Output file. Return ------ cubin : bytearray The bytearray\",\n \"target : tvm.target.Target, optional The compilation target Returns ------- compute_version : str compute\",\n \"if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if tvm.gpu(0).exist: compute_version =\",\n \"for f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot\",\n \"return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in\",\n \"not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver =\",\n \"10.2, 11.0, 11.1, 11.2): path = os.path.join(lib_path, \\\"libdevice.10.bc\\\") else: for fn in os.listdir(lib_path):\",\n \"str Path to libdevice. \\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if\",\n \"l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for s in\",\n \"\\\"\\\"\\\" cuda_path = find_cuda_path() lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu\",\n \"cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is hard to\",\n \"ValueError(\\\"options must be str or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd\",\n \"absolute_import as _abs import subprocess import os import warnings import tvm._ffi from tvm.runtime\",\n \"data = bytearray(open(file_target, \\\"rb\\\").read()) if not data: raise RuntimeError(\\\"Compilation error: empty result is\",\n \"cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged\",\n \"lib_path = os.path.join(cuda_path, \\\"nvvm/libdevice\\\") if not os.path.exists(lib_path): # Debian/Ubuntu repackaged CUDA path lib_path\",\n \"ver <= arch: selected_ver = ver selected_path = fn if selected_path is None:\",\n \"get_target_compute_version(target=None): \\\"\\\"\\\"Utility function to get compute capability of compilation target. Looks for the\",\n \"use this file except in compliance # with the License. You may obtain\",\n \"\\\"\\\\nCompilation error:\\\\n\\\" msg += py_str(out) raise RuntimeError(msg) data = bytearray(open(file_target, \\\"rb\\\").read()) if not\",\n \"cuda_path = \\\"/usr/local/cuda\\\" if os.path.exists(os.path.join(cuda_path, \\\"bin/nvcc\\\")): return cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\")\",\n \"if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\")\",\n \"major + \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version warnings.warn(\",\n \"None or \\\"arch\\\" not in target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to\",\n \"it by adding '-arch=sm_xx' to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"]\",\n \"be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target)\",\n \"# Debian/Ubuntu repackaged CUDA path lib_path = os.path.join(cuda_path, \\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path\",\n \"of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >=\",\n \"+ minor major, _ = parse_compute_version(compute_version) if major >= 7: return True return\",\n \"Software Foundation (ASF) under one # or more contributor license agreements. See the\",\n \"major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor # 2. Global\",\n \"temp.relpath(\\\"my_kernel.cu\\\") temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if\",\n \"def callback_libdevice_path(arch): try: return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\"\",\n \"support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major == 5 and minor ==\",\n \"\\\"\\\"\\\"Either int8 support is provided in the compute capability or not Parameters ----------\",\n \"the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR\",\n \"if major == 5 and minor == 3: return True if major >=\",\n \"Path to cuda root. Returns ------- version : float The cuda version \\\"\\\"\\\"\",\n \"proc.communicate() if proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation error:\\\\n\\\" msg\",\n \"additional options path_target : str, optional Output file. Return ------ cubin : bytearray\",\n \"\\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path : str Path to\",\n \"f in release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read\",\n \"cmd += [options] elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options must\",\n \"compilation target. Looks for the arch in three different places, first in the\",\n \"# if cxx_compiler_path != \\\"\\\": # cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd,\",\n \"'-arch=sm_xx' to your target.\\\" ) return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string\",\n \"except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error:\",\n \"not Parameters ---------- compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\")\",\n \"True return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path\",\n \"= int(split_ver[0]) minor = int(split_ver[1]) return major, minor except (IndexError, ValueError) as err:\",\n \"Parameters ---------- compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\"\",\n \"= target.attrs[\\\"arch\\\"] major, minor = compute_version.split(\\\"_\\\")[1] return major + \\\".\\\" + minor #\",\n \"to your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will\",\n \"str, optional Output file. Return ------ cubin : bytearray The bytearray of the\",\n \"stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0:\",\n \"\\\".\\\" + minor # 2. Global scope from tvm.autotvm.env import AutotvmGlobalScope # pylint:\",\n \"parse_compute_version(compute_version) # fp 16 support in reference to: # https://docs.nvidia.com/cuda/cuda-c-programming-guide/#arithmetic-instructions if major ==\",\n \"[\\\"nvcc\\\"] cmd += [\\\"--%s\\\" % target, \\\"-O3\\\"] if isinstance(arch, list): cmd += arch\",\n \"the # specific language governing permissions and limitations # under the License. #\",\n \"governing permissions and limitations # under the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to\",\n \"invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import\",\n \"or not Parameters ---------- compute_version : str, optional compute capability of a GPU\",\n \"compute capability or not Parameters ---------- compute_version : str compute capability of a\",\n \"major, minor = compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major, _\",\n \"\\\"No CUDA architecture was specified or GPU detected.\\\" \\\"Try specifying it by adding\",\n \": float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path):\",\n \"# 1. Target if target: if \\\"arch\\\" in target.attrs: compute_version = target.attrs[\\\"arch\\\"] major,\",\n \"See the NOTICE file # distributed with this work for additional information #\",\n \"if major >= 6: return True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore\",\n \"---------- compute_version : str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major,\",\n \"version : float The cuda version \\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not\",\n \"\\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin, ptx, fatbin\\\") temp_code = temp.relpath(\\\"my_kernel.cu\\\")\",\n \"major >= 6: return True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is\",\n \"raise ValueError(\\\"options must be str or list of str\\\") cmd += [\\\"-o\\\", file_target]\",\n \"\\\".\\\" + minor major, _ = parse_compute_version(compute_version) if major >= 7: return True\",\n \"the NOTICE file # distributed with this work for additional information # regarding\",\n \"os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out,\",\n \"if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\",\",\n \"in writing, # software distributed under the License is distributed on an #\",\n \"the Apache Software Foundation (ASF) under one # or more contributor license agreements.\",\n \"# cmd += [\\\"-ccbin\\\", cxx_compiler_path] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) =\",\n \"int8 support is provided in the compute capability or not Parameters ---------- compute_version\",\n \"return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version file\\\") @tvm._ffi.register_func(\\\"tvm_callback_libdevice_path\\\") def find_libdevice_path(arch): \\\"\\\"\\\"Utility function\",\n \"return major + \\\".\\\" + minor # 3. GPU if tvm.gpu(0).exist: return tvm.gpu(0).compute_version\",\n \"the License. # pylint: disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\"\",\n \"GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8: return\",\n \"finally the GPU device (if it exists). Parameters ---------- target : tvm.target.Target, optional\",\n \"in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess import os\",\n \"with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch is None: if nd.gpu(0).exist: #\",\n \"compute capability string to divide major and minor version Parameters ---------- compute_version :\",\n \"True return False def have_int8(compute_version): \\\"\\\"\\\"Either int8 support is provided in the compute\",\n \"arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return find_libdevice_path(arch)\",\n \"return find_libdevice_path(arch) except RuntimeError: warnings.warn(\\\"Cannot find libdevice path\\\") return \\\"\\\" def get_target_compute_version(target=None): \\\"\\\"\\\"Utility\",\n \"= compute_version.split(\\\"_\\\")[1] compute_version = major + \\\".\\\" + minor major, _ = parse_compute_version(compute_version)\",\n \"is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if cuda_ver < 10.0:\",\n \"major, _ = parse_compute_version(compute_version) if major >= 6: return True return False def\",\n \"except RuntimeError: return False def have_bf16(compute_version): \\\"\\\"\\\"Either bf16 support is provided in the\",\n \"[l for l in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for\",\n \"\\\"lib/nvidia-cuda-toolkit/libdevice\\\") selected_ver = 0 selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in\",\n \"be used to determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is\",\n \"release_fields if f.startswith(\\\"V\\\")][0] major_minor = \\\".\\\".join(release_version.split(\\\".\\\")[:2]) return float(major_minor) raise RuntimeError(\\\"Cannot read cuda version\",\n \"env\\\") file_target = path_target if path_target else temp_target cmd = [\\\"nvcc\\\"] cmd +=\",\n \"str, optional compute capability of a GPU (e.g. \\\"7.0\\\"). target : tvm.target.Target, optional\",\n \"subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out) if proc.returncode ==\",\n \"if nd.gpu(0).exist: # auto detect the compute arch argument arch = \\\"sm_\\\" +\",\n \"== 5 and minor == 3: return True if major >= 6: return\",\n \"if options: if isinstance(options, str): cmd += [options] elif isinstance(options, list): cmd +=\",\n \"_) = proc.communicate() if proc.returncode != 0: msg = code msg += \\\"\\\\nCompilation\",\n \"version number minor : int minor version number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try:\",\n \"(e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\" in target.attrs: compute_version\",\n \"cuda_path raise RuntimeError(\\\"Cannot find cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda\",\n \"On Windows it is not in the path by default. # However, we\",\n \"cuda path\\\") def get_cuda_version(cuda_path): \\\"\\\"\\\"Utility function to get cuda version Parameters ---------- cuda_path\",\n \"Returns ------- major : int major version number minor : int minor version\",\n \"else: cmd += [\\\"-arch\\\", arch] if options: if isinstance(options, str): cmd += [options]\",\n \"= None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1, 10.2,\",\n \"return False def have_cudagraph(): \\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path =\",\n \"for arch {}\\\".format(arch)) path = os.path.join(lib_path, selected_path) return path def callback_libdevice_path(arch): try: return\",\n \"is None: if nd.gpu(0).exist: # auto detect the compute arch argument arch =\",\n \"tvm.gpu(0).exist: compute_version = tvm.gpu(0).compute_version else: if target is None or \\\"arch\\\" not in\",\n \"# with the License. You may obtain a copy of the License at\",\n \"number \\\"\\\"\\\" split_ver = compute_version.split(\\\".\\\") try: major = int(split_ver[0]) minor = int(split_ver[1]) return\",\n \"True return False def have_tensorcore(compute_version=None, target=None): \\\"\\\"\\\"Either TensorCore support is provided in the\",\n \"# pylint: disable=import-outside-toplevel if AutotvmGlobalScope.current.cuda_target_arch: major, minor = AutotvmGlobalScope.current.cuda_target_arch.split(\\\"_\\\")[1] return major + \\\".\\\"\",\n \"to determine arch if compute_version isn't specified. \\\"\\\"\\\" if compute_version is None: if\",\n \"arch : int The compute architecture in int Returns ------- path : str\",\n \"get_cuda_version(cuda_path) if cuda_ver < 10.0: return False return True except RuntimeError: return False\",\n \"try: with open(version_file_path) as f: version_str = f.readline().replace(\\\"\\\\n\\\", \\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2])\",\n \"(out, _) = proc.communicate() out = py_str(out) if proc.returncode == 0: return os.path.realpath(os.path.join(str(out).strip(),\",\n \"three different places, first in the target attributes, then the global scope, and\",\n \"major, minor except (IndexError, ValueError) as err: # pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version\",\n \"\\\"\\\"\\\"Either CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path)\",\n \"out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")] release_version\",\n \"Apache License, Version 2.0 (the # \\\"License\\\"); you may not use this file\",\n \"temp_target = temp.relpath(\\\"my_kernel.%s\\\" % target) with open(temp_code, \\\"w\\\") as out_file: out_file.write(code) if arch\",\n \"\\\"CUDA_PATH\\\" in os.environ: return os.environ[\\\"CUDA_PATH\\\"] cmd = [\\\"which\\\", \\\"nvcc\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\",\n \"float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc =\",\n \"fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver <\",\n \"str The cuda code. target : str The target format arch : str\",\n \"it is not in the path. On Windows it is not in the\",\n \"stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() if proc.returncode != 0: msg = code\",\n \"selected_path = None cuda_ver = get_cuda_version(cuda_path) if cuda_ver in (9.0, 9.1, 10.0, 10.1,\",\n \"under one # or more contributor license agreements. See the NOTICE file #\",\n \"[options] elif isinstance(options, list): cmd += options else: raise ValueError(\\\"options must be str\",\n \"in out.split(\\\"\\\\n\\\") if \\\"release\\\" in l][0] release_fields = [s.strip() for s in release_line.split(\\\",\\\")]\",\n \"# to you under the Apache License, Version 2.0 (the # \\\"License\\\"); you\",\n \"required by applicable law or agreed to in writing, # software distributed under\",\n \"global scope, and finally the GPU device (if it exists). Parameters ---------- target\",\n \"minor major, _ = parse_compute_version(compute_version) if major >= 7: return True return False\",\n \"\\\"8.0\\\") \\\"\\\"\\\" major, _ = parse_compute_version(compute_version) if major >= 8: return True return\",\n \"if target not in [\\\"cubin\\\", \\\"ptx\\\", \\\"fatbin\\\"]: raise ValueError(\\\"target must be in cubin,\",\n \"out = py_str(out) if proc.returncode == 0: release_line = [l for l in\",\n \"The compilation target, will be used to determine arch if compute_version isn't specified.\",\n \"However, we cannot use TVM_CXX_COMPILER_PATH because the runtime env. # Because it is\",\n \"compiler in the system\\\"\\\"\\\" from __future__ import absolute_import as _abs import subprocess import\",\n \"from __future__ import absolute_import as _abs import subprocess import os import warnings import\",\n \"by applicable law or agreed to in writing, # software distributed under the\",\n \"except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"), \\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\",\n \"for additional information # regarding copyright ownership. The ASF licenses this file #\",\n \"\\\"\\\").replace(\\\"\\\\r\\\", \\\"\\\") return float(version_str.split(\\\" \\\")[2][:2]) except FileNotFoundError: pass cmd = [os.path.join(cuda_path, \\\"bin\\\", \\\"nvcc\\\"),\",\n \"for fn in os.listdir(lib_path): if not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver\",\n \"not fn.startswith(\\\"libdevice\\\"): continue ver = int(fn.split(\\\".\\\")[-3].split(\\\"_\\\")[-1]) if selected_ver < ver <= arch: selected_ver\",\n \"not in the path by default. # However, we cannot use TVM_CXX_COMPILER_PATH because\",\n \": str compute capability of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target\",\n \"\\\"--version\\\"] proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) (out, _) = proc.communicate() out = py_str(out)\",\n \"compute_version = target.attrs[\\\"arch\\\"] # Compute version will be in the form \\\"sm_{major}{minor}\\\" major,\",\n \"the License for the # specific language governing permissions and limitations # under\",\n \"\\\"\\\"\\\" version_file_path = os.path.join(cuda_path, \\\"version.txt\\\") if not os.path.exists(version_file_path): # Debian/Ubuntu repackaged CUDA path\",\n \"applicable law or agreed to in writing, # software distributed under the License\",\n \"data def find_cuda_path(): \\\"\\\"\\\"Utility function to find cuda path Returns ------- path :\",\n \"target.attrs: warnings.warn( \\\"Tensorcore will be disabled due to no CUDA architecture specified.\\\" \\\"Try\",\n \"your target.\\\" ) return False compute_version = target.attrs[\\\"arch\\\"] # Compute version will be\",\n \"# pylint: disable=raise-missing-from raise RuntimeError(\\\"Compute version parsing error: \\\" + str(err)) def have_fp16(compute_version):\",\n \"CUDA Graph support is provided\\\"\\\"\\\" try: cuda_path = find_cuda_path() cuda_ver = get_cuda_version(cuda_path) if\",\n \"the global scope, and finally the GPU device (if it exists). Parameters ----------\",\n \"version_file_path = os.path.join(cuda_path, \\\"lib\\\", \\\"cuda\\\", \\\"version.txt\\\") try: with open(version_file_path) as f: version_str =\",\n \") return None def parse_compute_version(compute_version): \\\"\\\"\\\"Parse compute capability string to divide major and\",\n \"Parameters ---------- compute_version : str compute capability of a GPU (e.g. \\\"6.1\\\") \\\"\\\"\\\"\",\n \"disable=invalid-name \\\"\\\"\\\"Utility to invoke nvcc compiler in the system\\\"\\\"\\\" from __future__ import absolute_import\",\n \"must be str or list of str\\\") cmd += [\\\"-o\\\", file_target] cmd +=\",\n \"of a GPU (e.g. \\\"8.0\\\") \\\"\\\"\\\" # 1. Target if target: if \\\"arch\\\"\"\n]","isConversational":false}}},{"rowIdx":785,"cells":{"ngram":{"kind":"list like","value":["specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic","\"\"\"create a subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True","history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of items","\"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last","return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value():","a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition","return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory","the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of","Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation)","import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations","def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation():","of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return","\"\"\"Add a multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True","True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory method","\"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first","the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction","\"\"\"Calculation history Class\"\"\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication","factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object","Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create","object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values):","get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific","\"\"\"Calculations class manages the history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods","from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from","a multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod","class manages the history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod","and add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result","to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add","True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory method","add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return","def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history using factory method","@staticmethod def count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod def","Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to history using","True @staticmethod def count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod","return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result()","Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division","@staticmethod def get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod","history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to","[] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear()","get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get","factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object","Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using","calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation from history\"\"\"","history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\"","history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of","result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object","from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\"","@staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get","def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values))","calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using","return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to history using factory","disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod","a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a","Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history = [] # pylint:","using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division","from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object","of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of items in","using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True","calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history","number of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\"","return True @staticmethod def count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history)","the history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history():","calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division","add_division_calculation_to_history(values): \"Add a division object to history using factory method create\" Calculations.add_calculation(Division.create(values)) return","# pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return","\"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create","a subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod","calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return","factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod","method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to","get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get","history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a","def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def","get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an","\"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation =","count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get","True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to history using factory method","the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history","import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the history","@staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod","len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get","@staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory method create\"\"\"","Class\"\"\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication","create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history","to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add","def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a","last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object()","Division class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history = []","multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def","manages the history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def","generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and","def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\"","= [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\"","def count_history(): \"\"\"get number of items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object():","\"\"\"create an addition and add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values))","add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of","history of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear","@staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def","@staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history using factory","return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory","return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history","from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class","@staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def","calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations:","\"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation","clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get","an addition and add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get","addition and add object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the","create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a division object to history","calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\"","using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication","history Class\"\"\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import","create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values):","import Division class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history =","def add_division_calculation_to_history(values): \"Add a division object to history using factory method create\" Calculations.add_calculation(Division.create(values))","subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def","@staticmethod def add_division_calculation_to_history(values): \"Add a division object to history using factory method create\"","last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\"","return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num):","\"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number","Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of items in history\"\"\" return","return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return","add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return","from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from","get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation):","calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history(): \"\"\"get number of items in history\"\"\"","import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import","= Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod","get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation","#Get the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a","from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages","class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history = [] #","calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add","calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the","Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0] @staticmethod def","return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return","Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the history of","calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return","@staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to history using factory method create\"\"\"","\"Add a division object to history using factory method create\" Calculations.add_calculation(Division.create(values)) return True","object to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the","def get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def","pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True","def clear_history(): \"\"\"clear the history of calculations\"\"\" Calculations.history.clear() return True @staticmethod def count_history():","Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \"\"\"Calculations class","def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values))","history using factory method create\"\"\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \"Add a","calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic calculation","to history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation","history using factory method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return","Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history using","add_calculation(calculation): \"\"\" get a generic calculation from history\"\"\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values):","Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last calculation\"\"\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod","Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation from history\"\"\" return Calculations.history[num]","calc.calculations.division import Division class Calculations: \"\"\"Calculations class manages the history of calculations\"\"\" history","@staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \"\"\"get last","first calculation\"\"\" return Calculations.history[0] @staticmethod def get_calculation(num): \"\"\" get a specific calculation from","method create\"\"\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod def","add_addition_calculation_to_history(values): \"\"\"create an addition and add object to history using factory method create\"\"\"","history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod def","\"\"\" get a specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\"","of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \"\"\"create a subtraction object to","items in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1]","of calculations\"\"\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \"\"\"clear the","calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \"\"\"get first calculation\"\"\" return Calculations.history[0]","method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \"\"\"Add a multiplication object to","object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values):","in history\"\"\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \"\"\"get last calculation\"\"\" return Calculations.history[-1] @staticmethod"],"string":"[\n \"specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic\",\n \"\\\"\\\"\\\"create a subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True\",\n \"history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items\",\n \"\\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last\",\n \"return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value():\",\n \"a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition\",\n \"return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory\",\n \"the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of\",\n \"Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation)\",\n \"import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations\",\n \"def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation():\",\n \"of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return\",\n \"\\\"\\\"\\\"Add a multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True\",\n \"True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory method\",\n \"\\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first\",\n \"the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction\",\n \"\\\"\\\"\\\"Calculation history Class\\\"\\\"\\\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication\",\n \"factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object\",\n \"Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create\",\n \"object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values):\",\n \"get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific\",\n \"\\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods\",\n \"from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from\",\n \"a multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod\",\n \"class manages the history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod\",\n \"and add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result\",\n \"to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add\",\n \"True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory method\",\n \"add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return\",\n \"def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history using factory method\",\n \"@staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def\",\n \"Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history using\",\n \"True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod\",\n \"return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result()\",\n \"Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division\",\n \"@staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod\",\n \"history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to\",\n \"[] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear()\",\n \"get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get\",\n \"factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object\",\n \"Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using\",\n \"calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\"\",\n \"history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\"\",\n \"history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of\",\n \"result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object\",\n \"from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\"\",\n \"@staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get\",\n \"def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values))\",\n \"calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using\",\n \"return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history using factory\",\n \"disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod\",\n \"a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a\",\n \"Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history = [] # pylint:\",\n \"using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division\",\n \"from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object\",\n \"of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in\",\n \"using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True\",\n \"calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history\",\n \"number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\"\",\n \"return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history)\",\n \"the history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history():\",\n \"calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division\",\n \"add_division_calculation_to_history(values): \\\"Add a division object to history using factory method create\\\" Calculations.add_calculation(Division.create(values)) return\",\n \"# pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return\",\n \"\\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create\",\n \"a subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod\",\n \"calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return\",\n \"factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod\",\n \"method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to\",\n \"get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get\",\n \"history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a\",\n \"def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def\",\n \"get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an\",\n \"\\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation =\",\n \"count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get\",\n \"True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history using factory method\",\n \"the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history\",\n \"import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history\",\n \"@staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod\",\n \"len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get\",\n \"@staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory method create\\\"\\\"\\\"\",\n \"Class\\\"\\\"\\\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication\",\n \"create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history\",\n \"to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add\",\n \"def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a\",\n \"last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object()\",\n \"Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history = []\",\n \"multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def\",\n \"manages the history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def\",\n \"generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and\",\n \"def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\"\",\n \"= [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\"\",\n \"def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object():\",\n \"\\\"\\\"\\\"create an addition and add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values))\",\n \"add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of\",\n \"history of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear\",\n \"@staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def\",\n \"@staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history using factory\",\n \"return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory\",\n \"return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history\",\n \"from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class\",\n \"@staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def\",\n \"calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations:\",\n \"\\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation\",\n \"clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get\",\n \"an addition and add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get\",\n \"addition and add object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the\",\n \"create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history\",\n \"calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\"\",\n \"using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication\",\n \"history Class\\\"\\\"\\\" from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import\",\n \"create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values):\",\n \"import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history =\",\n \"def add_division_calculation_to_history(values): \\\"Add a division object to history using factory method create\\\" Calculations.add_calculation(Division.create(values))\",\n \"subtraction object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def\",\n \"@staticmethod def add_division_calculation_to_history(values): \\\"Add a division object to history using factory method create\\\"\",\n \"last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\"\",\n \"return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num):\",\n \"\\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number\",\n \"Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\" return\",\n \"return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return\",\n \"add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return\",\n \"from calc.calculations.addition import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from\",\n \"get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation):\",\n \"calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history(): \\\"\\\"\\\"get number of items in history\\\"\\\"\\\"\",\n \"import Addition from calc.calculations.subtraction import Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import\",\n \"= Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod\",\n \"get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation\",\n \"#Get the result of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a\",\n \"from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages\",\n \"class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history = [] #\",\n \"calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add\",\n \"calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the\",\n \"Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def\",\n \"return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return\",\n \"Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of\",\n \"calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return\",\n \"@staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to history using factory method create\\\"\\\"\\\"\",\n \"\\\"Add a division object to history using factory method create\\\" Calculations.add_calculation(Division.create(values)) return True\",\n \"object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the\",\n \"def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def\",\n \"pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True\",\n \"def clear_history(): \\\"\\\"\\\"clear the history of calculations\\\"\\\"\\\" Calculations.history.clear() return True @staticmethod def count_history():\",\n \"Subtraction from calc.calculations.multiplication import Multiplication from calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class\",\n \"def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values))\",\n \"history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Multiplication.create(values)) return True @staticmethod def add_division_calculation_to_history(values): \\\"Add a\",\n \"calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\" get a generic calculation\",\n \"to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation\",\n \"history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return\",\n \"Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history using\",\n \"add_calculation(calculation): \\\"\\\"\\\" get a generic calculation from history\\\"\\\"\\\" return Calculations.history.append(calculation) @staticmethod def add_addition_calculation_to_history(values):\",\n \"Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod\",\n \"Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num]\",\n \"calc.calculations.division import Division class Calculations: \\\"\\\"\\\"Calculations class manages the history of calculations\\\"\\\"\\\" history\",\n \"@staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def get_last_calculation_result_value(): \\\"\\\"\\\"get last\",\n \"first calculation\\\"\\\"\\\" return Calculations.history[0] @staticmethod def get_calculation(num): \\\"\\\"\\\" get a specific calculation from\",\n \"method create\\\"\\\"\\\" Calculations.add_calculation(Addition.create(values)) #Get the result of the calculation return True @staticmethod def\",\n \"add_addition_calculation_to_history(values): \\\"\\\"\\\"create an addition and add object to history using factory method create\\\"\\\"\\\"\",\n \"history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod def\",\n \"\\\"\\\"\\\" get a specific calculation from history\\\"\\\"\\\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \\\"\\\"\\\"\",\n \"of the calculation return True @staticmethod def add_subtraction_calculation_to_history(values): \\\"\\\"\\\"create a subtraction object to\",\n \"items in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1]\",\n \"of calculations\\\"\\\"\\\" history = [] # pylint: disable=too-few-public-methods @staticmethod def clear_history(): \\\"\\\"\\\"clear the\",\n \"calculation = Calculations.get_last_calculation_object() return calculation.get_result() @staticmethod def get_first_calculation(): \\\"\\\"\\\"get first calculation\\\"\\\"\\\" return Calculations.history[0]\",\n \"method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values): \\\"\\\"\\\"Add a multiplication object to\",\n \"object to history using factory method create\\\"\\\"\\\" Calculations.add_calculation(Subtraction.create(values)) return True @staticmethod def add_multiplication_calculation_to_history(values):\",\n \"in history\\\"\\\"\\\" return len(Calculations.history) @staticmethod def get_last_calculation_object(): \\\"\\\"\\\"get last calculation\\\"\\\"\\\" return Calculations.history[-1] @staticmethod\"\n]","isConversational":false}}},{"rowIdx":786,"cells":{"ngram":{"kind":"list like","value":["valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não","valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor","ou -1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor)","ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5","valor = int(input('Digite um Valor ou -1 para Finalizar: ')) if valor <","-1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram","0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de","print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma","in valores: valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.')","Valor ou -1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else:","print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor","while True: valor = int(input('Digite um Valor ou -1 para Finalizar: ')) if","5 in valores: valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)}","if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True)","# Aula 17 (Listas (Parte 1)) valores = [] while True: valor =","valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O","1)) valores = [] while True: valor = int(input('Digite um Valor ou -1","valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if","números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse()","decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado e","= int(input('Digite um Valor ou -1 para Finalizar: ')) if valor < 0:","17 (Listas (Parte 1)) valores = [] while True: valor = int(input('Digite um","Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)}","else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}')","if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado e está na","foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na","5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado","= [] while True: valor = int(input('Digite um Valor ou -1 para Finalizar:","< 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada","')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números')","{len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores:","<gh_stars>0 # Aula 17 (Listas (Parte 1)) valores = [] while True: valor","Aula 17 (Listas (Parte 1)) valores = [] while True: valor = int(input('Digite","valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista","forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado","print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5","(Parte 1)) valores = [] while True: valor = int(input('Digite um Valor ou","valores = [] while True: valor = int(input('Digite um Valor ou -1 para","para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados","True: valor = int(input('Digite um Valor ou -1 para Finalizar: ')) if valor","um Valor ou -1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break","valores: valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else:","digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in","print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5","(Listas (Parte 1)) valores = [] while True: valor = int(input('Digite um Valor","de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi","{valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado e está","digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na lista.')","[] while True: valor = int(input('Digite um Valor ou -1 para Finalizar: '))","break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente:","int(input('Digite um Valor ou -1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...')"],"string":"[\n \"valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não\",\n \"valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor\",\n \"ou -1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor)\",\n \"ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5\",\n \"valor = int(input('Digite um Valor ou -1 para Finalizar: ')) if valor <\",\n \"-1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram\",\n \"0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de\",\n \"print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma\",\n \"in valores: valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.')\",\n \"Valor ou -1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else:\",\n \"print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor\",\n \"while True: valor = int(input('Digite um Valor ou -1 para Finalizar: ')) if\",\n \"5 in valores: valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)}\",\n \"if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True)\",\n \"# Aula 17 (Listas (Parte 1)) valores = [] while True: valor =\",\n \"valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O\",\n \"1)) valores = [] while True: valor = int(input('Digite um Valor ou -1\",\n \"valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if\",\n \"números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores: valores.reverse()\",\n \"decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado e\",\n \"= int(input('Digite um Valor ou -1 para Finalizar: ')) if valor < 0:\",\n \"17 (Listas (Parte 1)) valores = [] while True: valor = int(input('Digite um\",\n \"Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)}\",\n \"else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}')\",\n \"if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado e está na\",\n \"foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na\",\n \"5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado\",\n \"= [] while True: valor = int(input('Digite um Valor ou -1 para Finalizar:\",\n \"< 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada\",\n \"')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números')\",\n \"{len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in valores:\",\n \"<gh_stars>0 # Aula 17 (Listas (Parte 1)) valores = [] while True: valor\",\n \"Aula 17 (Listas (Parte 1)) valores = [] while True: valor = int(input('Digite\",\n \"valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista\",\n \"forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado\",\n \"print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5\",\n \"(Parte 1)) valores = [] while True: valor = int(input('Digite um Valor ou\",\n \"valores = [] while True: valor = int(input('Digite um Valor ou -1 para\",\n \"para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break else: valores.append(valor) print(f'Foram digitados\",\n \"True: valor = int(input('Digite um Valor ou -1 para Finalizar: ')) if valor\",\n \"um Valor ou -1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...') break\",\n \"valores: valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else:\",\n \"digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5 in\",\n \"print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente: {valores}') if 5\",\n \"(Listas (Parte 1)) valores = [] while True: valor = int(input('Digite um Valor\",\n \"de forma decrescente: {valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi\",\n \"{valores}') if 5 in valores: valores.reverse() print(f'O valor 5 foi digitado e está\",\n \"digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não encontrado na lista.')\",\n \"[] while True: valor = int(input('Digite um Valor ou -1 para Finalizar: '))\",\n \"break else: valores.append(valor) print(f'Foram digitados {len(valores)} números') valores.sort(reverse=True) print(f'Lista ordenada de forma decrescente:\",\n \"int(input('Digite um Valor ou -1 para Finalizar: ')) if valor < 0: print('\\\\nFinalizando...')\"\n]","isConversational":false}}},{"rowIdx":787,"cells":{"ngram":{"kind":"list like","value":["model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason',","model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False),","# Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from","model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code',","= [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start',","migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode',","migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField(","operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ),","old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ),","model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name',","'0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify',","new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField(","new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField(","import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies =","), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction',","migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason',","Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction',","[ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ),","new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField(","model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True,","migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation',","), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction',","old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ),","new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField(","), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction',","migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber',","old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ),","migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode',","from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL),","old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ),","model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code',","django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies","models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations","import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations =","settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [","migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user',","model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number',","2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db import migrations, models","Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db","django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [","('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction',","migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode',","on 2018-11-20 11:23 from django.conf import settings from django.db import migrations, models import","2018-11-20 11:23 from django.conf import settings from django.db import migrations, models import django.db.models.deletion","model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name',","), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction',","django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay',","Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db import migrations,","), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction',","migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), ]","), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction',","), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction',","migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ]","), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ),","by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db import","new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),","= [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField(","import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'),","), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction',","from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration):","dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart',","model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code',","old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE,","migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName',","old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ),","migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName',","new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField(","class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField(","<filename>yekpay/migrations/0014_auto_20181120_1453.py # Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings","new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField(","11:23 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class","old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ),","old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ),","] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify',","new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField(","old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ),","new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField(","[ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction',"],"string":"[\n \"model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason',\",\n \"model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False),\",\n \"# Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from\",\n \"model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code',\",\n \"= [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start',\",\n \"migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode',\",\n \"migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField(\",\n \"operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ),\",\n \"old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ),\",\n \"model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name',\",\n \"'0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify',\",\n \"new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField(\",\n \"new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField(\",\n \"import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies =\",\n \"), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason',\",\n \"Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction',\",\n \"[ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ),\",\n \"new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField(\",\n \"model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True,\",\n \"migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation',\",\n \"), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction',\",\n \"old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ),\",\n \"new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField(\",\n \"), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber',\",\n \"old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ),\",\n \"migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode',\",\n \"from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL),\",\n \"old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ),\",\n \"model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code',\",\n \"django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies\",\n \"models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations\",\n \"import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations =\",\n \"settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [\",\n \"migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user',\",\n \"model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number',\",\n \"2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db import migrations, models\",\n \"Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db\",\n \"django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [\",\n \"('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode',\",\n \"on 2018-11-20 11:23 from django.conf import settings from django.db import migrations, models import\",\n \"2018-11-20 11:23 from django.conf import settings from django.db import migrations, models import django.db.models.deletion\",\n \"model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name',\",\n \"), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction',\",\n \"django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay',\",\n \"Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db import migrations,\",\n \"), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction',\",\n \"migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), ]\",\n \"), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction',\",\n \"), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction',\",\n \"migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ]\",\n \"), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ),\",\n \"by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings from django.db import\",\n \"new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),\",\n \"= [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField(\",\n \"import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'),\",\n \"), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction',\",\n \"from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration):\",\n \"dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart',\",\n \"model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code',\",\n \"old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField( model_name='transaction', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE,\",\n \"migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName',\",\n \"old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason', ),\",\n \"migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName',\",\n \"new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ), migrations.AddField(\",\n \"class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('yekpay', '0013_auto_20181030_1911'), ] operations = [ migrations.RenameField(\",\n \"<filename>yekpay/migrations/0014_auto_20181120_1453.py # Generated by Django 2.0.9 on 2018-11-20 11:23 from django.conf import settings\",\n \"new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField(\",\n \"11:23 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class\",\n \"old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField( model_name='transaction', old_name='lastName', new_name='last_name', ),\",\n \"old_name='postalCode', new_name='postal_code', ), migrations.RenameField( model_name='transaction', old_name='toCurrencyCode', new_name='to_currency_code', ), migrations.AddField( model_name='transaction', name='simulation', field=models.BooleanField(default=False), ),\",\n \"] operations = [ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify',\",\n \"new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ), migrations.RenameField(\",\n \"old_name='lastName', new_name='last_name', ), migrations.RenameField( model_name='transaction', old_name='orderNumber', new_name='order_number', ), migrations.RenameField( model_name='transaction', old_name='postalCode', new_name='postal_code', ),\",\n \"new_name='failure_reason', ), migrations.RenameField( model_name='transaction', old_name='firstName', new_name='first_name', ), migrations.RenameField( model_name='transaction', old_name='fromCurrencyCode', new_name='from_currency_code', ), migrations.RenameField(\",\n \"[ migrations.RenameField( model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction',\"\n]","isConversational":false}}},{"rowIdx":788,"cells":{"ngram":{"kind":"list like","value":["InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import DenseModule","from .bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from",".bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual","InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import","import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import","InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense","InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from","ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock"],"string":"[\n \"InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import DenseModule\",\n \"from .bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from\",\n \".bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual\",\n \"InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import\",\n \"import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import\",\n \"InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense\",\n \"InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from\",\n \"ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock\"\n]","isConversational":false}}},{"rowIdx":789,"cells":{"ngram":{"kind":"list like","value":["distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY","2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result","table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr =","2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 =","assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr =","indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0,","array pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False],","batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table","\"e\"])], names=[\"a\"]) for mask in [ # mask is array pa.array([True, False, None,","None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result in [ arr","{'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [","License for the # specific language governing permissions and limitations # under the","[pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False,","with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid,","pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr","0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a',","(ASF) under one # or more contributor license agreements. See the NOTICE file","\"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table =","scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3,","pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must","['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values):","all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\",","# mask is array pa.array([True, False, None, False, True]), # mask is chunked","assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values,","test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values) else: def con(values): return","None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with","assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'),","10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr)","None])) result = arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed():","scalar assert result.equals(con([False, True, False, None])) result = arr != scalar assert result.equals(con([True,","assert result.equals(con([False, True, False, None, None])) result = arr1 >= arr2 assert result.equals(con([True,","arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1,","'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result =","software distributed under the License is distributed on an # \"AS IS\" BASIS,","pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\",","return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 = con([1, 1,","1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8,","pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask =","[5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b':","3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1,","('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()),","language governing permissions and limitations # under the License. import numpy as np","True, False, None])) result = arr != scalar assert result.equals(con([True, False, True, None]))","scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False, None]))","'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']),","def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,","== scalar assert result.equals(con([False, True, False, None])) result = arr != scalar assert","pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def","length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop =","None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde',","for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices =","= pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None,","1, 4, None, 4]) result = arr1 == arr2 assert result.equals(con([True, False, False,","None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3,","assert result.equals(con([False, False, True, None])) result = arr >= scalar assert result.equals(con([False, True,","expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [","== \"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 =","arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True,","= pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"],","batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected","arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert","2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3]))","this is a hacky way to construct a scalar .. scalar = pa.array([2]).sum()","expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left =","assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right =","under the License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES","additional information # regarding copyright ownership. The ASF licenses this file # to","# wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be","# \"License\"); you may not use this file except in compliance # with","0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with","False, True]]), # mask is python object [True, False, None, False, True] ]:","arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3,","10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ])","arr = con([1, 2, 3, None]) # TODO this is a hacky way","pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2,","Licensed to the Apache Software Foundation (ASF) under one # or more contributor","b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1],","[True, False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result =","result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None],","True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked =","@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in","pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa:","or more contributor license agreements. See the NOTICE file # distributed with this","assert result.equals(con([True, False, True, None])) result = arr < scalar assert result.equals(con([True, False,","'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate()","pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for","expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ # mask is","False, True]), # mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), #","OR CONDITIONS OF ANY # KIND, either express or implied. See the License","Foundation (ASF) under one # or more contributor license agreements. See the NOTICE","type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None #","with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr =","expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask is array","= arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"])","result = arr < scalar assert result.equals(con([True, False, False, None])) result = arr","= arr == scalar assert result.equals(con([False, True, False, None])) result = arr !=","Apache Software Foundation (ASF) under one # or more contributor license agreements. See","False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert","2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0,","# TODO this is a hacky way to construct a scalar .. scalar","arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result = arr1 <","6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64()","= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask","result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch(","== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type)","False, False, None, None])) result = arr1 != arr2 assert result.equals(con([False, True, True,","pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this is a hacky","pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a':","assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate()","= pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]])","mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length","def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]])","= pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1,","= pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]])","3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True,","True]) with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr","None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True,","pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10","mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is python","in compliance # with the License. You may obtain a copy of the","scalar assert result.equals(con([False, False, True, None])) result = arr >= scalar assert result.equals(con([False,","implied. See the License for the # specific language governing permissions and limitations","or agreed to in writing, # software distributed under the License is distributed","def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices","numpy as np import pytest import pyarrow as pa import pyarrow.compute all_array_types =","assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values):","result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask,","pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract():","values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result","= arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\",","assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right =","arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\",","# mask is python object [True, False, None, False, True] ]: result =","con([1, 2, 3, None]) # TODO this is a hacky way to construct","arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types)","null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0,","type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result = arr.take(indices)","license agreements. See the NOTICE file # distributed with this work for additional","assert result.equals(con([True, False, False, None, None])) result = arr1 != arr2 assert result.equals(con([False,","arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result","E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert","[pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True,","def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,","values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0])","\"License\"); you may not use this file except in compliance # with the","'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices)","con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3,","scalar assert result.equals(con([True, True, False, None])) result = arr > scalar assert result.equals(con([False,","result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype","result.equals(con([True, False, False, None, None])) result = arr1 != arr2 assert result.equals(con([False, True,","for obj in [arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1,","\"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values) else: def","= arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result = arr1","np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b',","[4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True,","None, None])) result = arr1 <= arr2 assert result.equals(con([True, False, True, None, None]))","None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3,","'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None],","either express or implied. See the License for the # specific language governing","np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64',","assert result.equals(con([False, False, True, None, None])) result = arr1 <= arr2 assert result.equals(con([True,","= pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null","== \"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr =","result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def","result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]:","2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4,","import numpy as np import pytest import pyarrow as pa import pyarrow.compute all_array_types","not use this file except in compliance # with the License. You may","pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None","array pa.chunked_array([[True, False], [None, False, True]]), # mask is python object [True, False,","pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null =","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","# or more contributor license agreements. See the NOTICE file # distributed with","batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None,","arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if","expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices)","is python object [True, False, None, False, True] ]: result = arr.filter(mask) assert","the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]])","empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([],","None])) result = arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result","'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False,","# mask is array mask = pa.array([True, False, None, False, True]) result =","arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2,","WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the","('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double',","def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10","result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected","True, None, None])) result = arr1 > arr2 assert result.equals(con([False, True, False, None,","arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result =","pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask =","pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1,","'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def',","expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask","[pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the","[\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values) else:","== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert","None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty)","noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type):","<reponame>kylebrandt/arrow # Licensed to the Apache Software Foundation (ASF) under one # or","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","[\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for","pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0,","np import pytest import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool',","\"e\"]]) for mask in [ # mask is array pa.array([True, False, None, False,","4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr =","arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr =","None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean","8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right","array pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False,","4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr))","assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3,","# non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask)","names=[\"a\"]) for mask in [ # mask is array pa.array([True, False, None, False,","names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean dtype mask = pa.array([0,","= pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\",","a scalar .. scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False,","= pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def","# regarding copyright ownership. The ASF licenses this file # to you under","'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ]","test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is","pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must","pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1,","more contributor license agreements. See the NOTICE file # distributed with this work","batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array","False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\",","= pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def","assert result.equals(con([False, True, False, None])) result = arr != scalar assert result.equals(con([True, False,","2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8])","mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the same length\"):","python object [True, False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop)","is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF","== 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def","in [arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1,","result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2,","\"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ #","is python object [True, False, None, False, True] ]: result = table.filter(mask) assert","assert result.equals(con([True, True, False, None])) result = arr > scalar assert result.equals(con([False, False,","pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result","= pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1, 2, 3])","mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"):","names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"])","None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask,","6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2},","con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4, None, 4]) result","result = arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result =","type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([],","arr2 assert result.equals(con([False, False, True, None, None])) result = arr1 <= arr2 assert","CONDITIONS OF ANY # KIND, either express or implied. See the License for","pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) #","[5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None,","result.equals(con([True, False, True, None])) result = arr < scalar assert result.equals(con([True, False, False,","# mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is","work for additional information # regarding copyright ownership. The ASF licenses this file","type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type)","('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3),","False, True, None, None])) result = arr1 > arr2 assert result.equals(con([False, True, False,","('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None,","== 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert","arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1,","indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices)","= con([1, 1, 4, None, 4]) result = arr1 == arr2 assert result.equals(con([True,","licenses this file # to you under the Apache License, Version 2.0 (the","def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this","[b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None,","E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr","mask in [ # mask is array pa.array([True, False, None, False, True]), #","# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either","['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered","!= scalar assert result.equals(con([True, False, True, None])) result = arr < scalar assert","result.equals(con([False, True, True, None, None])) result = arr1 < arr2 assert result.equals(con([False, False,","0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty,","scalar .. scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True,","express or implied. See the License for the # specific language governing permissions","pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],","False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result","result = arr != scalar assert result.equals(con([True, False, True, None])) result = arr","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch =","result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,","False, None])) result = arr <= scalar assert result.equals(con([True, True, False, None])) result","-1, 1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4,","\"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1,","\"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1,","= pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ # mask is array","3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left,","expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left =","]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right","you under the Apache License, Version 2.0 (the # \"License\"); you may not","[ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def","arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4,","None])) result = arr > scalar assert result.equals(con([False, False, True, None])) result =","License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS","names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for","obj in [arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0,","3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3,","for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result","0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary',","= table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\",","]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks","pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None,","None])) result = arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result","@pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values)","print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711","= pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result = arr.filter(mask,","left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1, 2,","[[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3,","= con([1, 2, 3, None]) # TODO this is a hacky way to","3, None]) # TODO this is a hacky way to construct a scalar","for mask in [ # mask is array pa.array([True, False, None, False, True]),","import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)),","arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16',","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3,","None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2],","[False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a',","False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result","mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length","in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered',","False, True]), # mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), #","= pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\",","under the Apache License, Version 2.0 (the # \"License\"); you may not use","pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr","= arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result = arr1","None])) result = arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result","2, 3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result =","result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with","def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10","pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4,","None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values): return","arr > scalar assert result.equals(con([False, False, True, None])) result = arr >= scalar","License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty))","('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64',","10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string',","b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3,","arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5))","length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same","pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4,","or implied. See the License for the # specific language governing permissions and","3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type),","values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0,","None])) result = arr < scalar assert result.equals(con([True, False, False, None])) result =","5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected","result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null')","is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is python object","pa.array([True, False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"])","pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr =","arr2 assert result.equals(con([False, True, False, None, None])) result = arr1 >= arr2 assert","== ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty,","== arr2 assert result.equals(con([True, False, False, None, None])) result = arr1 != arr2","pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def","pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr =","distributed under the License is distributed on an # \"AS IS\" BASIS, WITHOUT","non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) #","mask is array mask = pa.array([True, False, None, False, True]) result = batch.filter(mask)","mask = pa.array([True, False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\",","[ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected)","= pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices","is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask","values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) #","2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([","assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"])","[arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0])","4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right)","test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert","pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4],","= table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr","= arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate()","pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2,","pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4],","False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False, None], [False,","object [True, False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result","True, True, None, None])) result = arr1 < arr2 assert result.equals(con([False, False, True,","expected = pa.chunked_array([[True, True, True, True, None]]) for result in [ arr ==","pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0,","\"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in","pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr,","3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(),","values[2], None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result","\"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True, False, None,","]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type),","be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ ==","2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right","1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2,","[ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5,","chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is python object [True,","== arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1,","type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError):","assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ","3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert","def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 =","2, 3, None]) # TODO this is a hacky way to construct a","4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2],","mask is array pa.array([True, False, None, False, True]), # mask is chunked array","obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all","\"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean dtype","result.equals(con([False, True, False, None])) result = arr != scalar assert result.equals(con([True, False, True,","Unless required by applicable law or agreed to in writing, # software distributed","3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b',","E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type","(pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2,","b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]),","arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() ==","distributed with this work for additional information # regarding copyright ownership. The ASF","= con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4, None, 4])","True, None, None])) result = arr1 <= arr2 assert result.equals(con([True, False, True, None,","test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null","return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None])","pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None],","indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected =","2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None])","None])) result = arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\",","pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None #","return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this is a","('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5,","result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1,","\"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values) else: def","1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True])","regarding copyright ownership. The ASF licenses this file # to you under the","arr2 = con([1, 1, 4, None, 4]) result = arr1 == arr2 assert","result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected)","# KIND, either express or implied. See the License for the # specific","None, None])) result = arr1 >= arr2 assert result.equals(con([True, True, False, None, None]))","pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4},","this work for additional information # regarding copyright ownership. The ASF licenses this","= arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist()","1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1,","True]), # mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask","expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected =","ANY # KIND, either express or implied. See the License for the #","specific language governing permissions and limitations # under the License. import numpy as","arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left =","contributor license agreements. See the NOTICE file # distributed with this work for","result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c']","assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types)","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr","1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a',","pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2","ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a']","\"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"])","result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop =","('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)),","None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True, False,","ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask =","False, True, None])) result = arr >= scalar assert result.equals(con([False, True, True, None]))","construct a scalar .. scalar = pa.array([2]).sum() result = arr == scalar assert","2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4,","5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(),","= pa.array([True, False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])],","assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop","= pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']:","pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None])","type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean","pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices =","null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0],","pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ # mask is array pa.array([True,","result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(),","[\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table","> scalar assert result.equals(con([False, False, True, None])) result = arr >= scalar assert","[ # mask is array pa.array([True, False, None, False, True]), # mask is","See the License for the # specific language governing permissions and limitations #","np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']),","= arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) #","pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8',","-1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8',","IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or","('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float',","pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False], [None,","[3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5,","2.0 (the # \"License\"); you may not use this file except in compliance","b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4],","pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","[9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a',","pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices","None]) # TODO this is a hacky way to construct a scalar ..","] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert","arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result = arr1 !=","3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left,","3, 4, None]) arr2 = con([1, 1, 4, None, 4]) result = arr1","type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices =","0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False,","result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None,","[3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result in","False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def","KIND, either express or implied. See the License for the # specific language","expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]:","> arr2 assert result.equals(con([False, True, False, None, None])) result = arr1 >= arr2","@pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values)","arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","pa.chunked_array([[True, False, None], [False, True]]), # mask is python object [True, False, None,","b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2],","3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr =","def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,","2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15])","None]) arr2 = con([1, 1, 4, None, 4]) result = arr1 == arr2","False, False, None])) result = arr <= scalar assert result.equals(con([True, True, False, None]))","2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4],","= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)","assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right =","== None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2,","pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr","pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask is array pa.array([True, False,","compliance # with the License. You may obtain a copy of the License","arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr)","null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch","< arr2 assert result.equals(con([False, False, True, None, None])) result = arr1 <= arr2","'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr =","None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(),","indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError):","@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr)","{'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b':","= pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1,","WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See","with the License. You may obtain a copy of the License at #","information # regarding copyright ownership. The ASF licenses this file # to you","{'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(),","pytest import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True, False,","[True, False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result =","def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2,","arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64',","scalar assert result.equals(con([True, False, True, None])) result = arr < scalar assert result.equals(con([True,","indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty)","1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","<= arr2 assert result.equals(con([True, False, True, None, None])) result = arr1 > arr2","True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result =","one # or more contributor license agreements. See the NOTICE file # distributed","[pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate()","with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2,","result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ ==","except in compliance # with the License. You may obtain a copy of","pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==","True, None, None])) result = arr1 < arr2 assert result.equals(con([False, False, True, None,","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","you may not use this file except in compliance # with the License.","[ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)),","None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"])","to construct a scalar .. scalar = pa.array([2]).sum() result = arr == scalar","the License. import numpy as np import pytest import pyarrow as pa import","False, None, None])) result = arr1 != arr2 assert result.equals(con([False, True, True, None,","= arr != scalar assert result.equals(con([True, False, True, None])) result = arr <","as np import pytest import pyarrow as pa import pyarrow.compute all_array_types = [","4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6],","indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def","['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() ==","4, None]) arr2 = con([1, 1, 4, None, 4]) result = arr1 ==","False, None, None])) result = arr1 >= arr2 assert result.equals(con([True, True, False, None,","numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) ==","an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,","type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert","[2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [","= pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None","values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type)","2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist()","\"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None,","arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result = arr1 <=","False, None])) result = arr != scalar assert result.equals(con([True, False, True, None])) result","[9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a':","def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32',","True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b',","'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'),","= batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\")","pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]],","arr != scalar assert result.equals(con([True, False, True, None])) result = arr < scalar","= arr > scalar assert result.equals(con([False, False, True, None])) result = arr >=","== arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add():","assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert","def test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values) else: def con(values):","pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr","result.equals(con([True, False, True, None, None])) result = arr1 > arr2 assert result.equals(con([False, True,","= pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) ==","this file # to you under the Apache License, Version 2.0 (the #","arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert","arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"],","4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4,","result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\",","== None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr =","= pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type","None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\")","# # Unless required by applicable law or agreed to in writing, #","5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected","2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr","assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks ==","type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2,","[b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1,","# noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty)","result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected)","= arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type","# empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected =","= pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\",","limitations # under the License. import numpy as np import pytest import pyarrow","Version 2.0 (the # \"License\"); you may not use this file except in","for the # specific language governing permissions and limitations # under the License.","== 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711","== arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4,","arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==","4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(),","True, False, None])) result = arr > scalar assert result.equals(con([False, False, True, None]))","True]]), # mask is python object [True, False, None, False, True] ]: result","type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,","# under the License. import numpy as np import pytest import pyarrow as","for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError):","= pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result =","noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)])","\"d\", \"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True, False, None, False,","else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO","0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']),","numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() ==","pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16',","result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors():","a hacky way to construct a scalar .. scalar = pa.array([2]).sum() result =","\"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask","OF ANY # KIND, either express or implied. See the License for the","BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied.","[True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)),","result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch():","result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\",","pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected","6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9,","4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([],","array mask = pa.array([True, False, None, False, True]) result = batch.filter(mask) expected =","3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert","con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3,","mask = pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert","[\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask is","result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices","1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True])","test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])],","pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ):","pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type):","pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0","type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa:","arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty","None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected)","result = arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result =","None])) result = arr != scalar assert result.equals(con([True, False, True, None])) result =","pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop')","<= scalar assert result.equals(con([True, True, False, None])) result = arr > scalar assert","assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None],","test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,","1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True,","b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9,","]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def","return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4,","type=ty) mask = pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate()","array pa.chunked_array([[True, False, None], [False, True]]), # mask is python object [True, False,","License, Version 2.0 (the # \"License\"); you may not use this file except","assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type)","arr2 assert result.equals(con([False, True, True, None, None])) result = arr1 < arr2 assert","result.equals(con([False, False, True, None])) result = arr >= scalar assert result.equals(con([False, True, True,","test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values) else: def con(values): return",">= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ):","this file except in compliance # with the License. You may obtain a","def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask","True, None]]) for result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked","result = arr == scalar assert result.equals(con([False, True, False, None])) result = arr","arr2 assert result.equals(con([True, False, True, None, None])) result = arr1 > arr2 assert","pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True,","'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(),","= pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0],","result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty)","None]]) for result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked ==","may not use this file except in compliance # with the License. You","result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for","is array pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True,","-1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2,","False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask,","type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty',","1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True,","ASF licenses this file # to you under the Apache License, Version 2.0","assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0,","2, 3, 4, None]) arr2 = con([1, 1, 4, None, 4]) result =","None, None])) result = arr1 < arr2 assert result.equals(con([False, False, True, None, None]))","arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4,","None])) result = arr <= scalar assert result.equals(con([True, True, False, None])) result =","4]) result = arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result","('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b',","None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result =","result.equals(con([False, True, False, None, None])) result = arr1 >= arr2 assert result.equals(con([True, True,","2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2])","# distributed with this work for additional information # regarding copyright ownership. The","arr1 = con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4, None,","None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values,","mask is python object [True, False, None, False, True] ]: result = table.filter(mask)","right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected =","\"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])],","= pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask)","on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #","null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","(pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b',","indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert","arr == scalar assert result.equals(con([False, True, False, None])) result = arr != scalar","= [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types)","# non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask)","False, True, None])) result = arr < scalar assert result.equals(con([True, False, False, None]))","np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)),","!= arr2 assert result.equals(con([False, True, True, None, None])) result = arr1 < arr2","False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert","with this work for additional information # regarding copyright ownership. The ASF licenses","way to construct a scalar .. scalar = pa.array([2]).sum() result = arr ==","'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty',","< scalar assert result.equals(con([True, False, False, None])) result = arr <= scalar assert","chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is python object [True,","type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type)","names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"])","= pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask","True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"])","the License. You may obtain a copy of the License at # #","assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert","\"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])],","True, True, None]]) for result in [ arr == arr_chunked, arr_chunked == arr,","= arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5])","[[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]),","result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered","pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10","result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1,","agreements. See the NOTICE file # distributed with this work for additional information","= batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table():","assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type)","= pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0,","= pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1,","writing, # software distributed under the License is distributed on an # \"AS","expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices","pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\",","arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr)","np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0,","6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5])","mask is python object [True, False, None, False, True] ]: result = arr.filter(mask)","assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert","match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None],","the # specific language governing permissions and limitations # under the License. import","else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2","= [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16',","result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError):","con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 = con([1,","NOTICE file # distributed with this work for additional information # regarding copyright","[None, \"e\"]]) for mask in [ # mask is array pa.array([True, False, None,","arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) ==","pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply():","assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1])","wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the","table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError):","table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"])","arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with","# specific language governing permissions and limitations # under the License. import numpy","hacky way to construct a scalar .. scalar = pa.array([2]).sum() result = arr","2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],","def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\",","('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5,","= pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ #","False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False], [None, False,","arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def","result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,","result = arr > scalar assert result.equals(con([False, False, True, None])) result = arr","np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c',","= arr <= scalar assert result.equals(con([True, True, False, None])) result = arr >","names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [ # mask","[False, True]]), # mask is python object [True, False, None, False, True] ]:","def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2,","def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True,","def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'],","the Apache License, Version 2.0 (the # \"License\"); you may not use this","True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32',","10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)","test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered)","in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4,","indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result =","batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with","True, False, None, None])) result = arr1 >= arr2 assert result.equals(con([True, True, False,","pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\",","= arr < scalar assert result.equals(con([True, False, False, None])) result = arr <=","= arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr =","assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4,","pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in [","@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum()","pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4],","= arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result = arr1","result = arr <= scalar assert result.equals(con([True, True, False, None])) result = arr","for result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2,","assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None #","in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices)","True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked","assert result.equals(con([True, False, False, None])) result = arr <= scalar assert result.equals(con([True, True,","pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask","length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values):","pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([],","typ == \"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr","10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None","4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1,","= pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected)","5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types():","(pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6],","False, True]) with pytest.raises(ValueError, match=\"must all be the same length\"): arr.filter(mask) def test_filter_chunked_array():","# mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is","The ASF licenses this file # to you under the Apache License, Version","file except in compliance # with the License. You may obtain a copy","result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with","assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\",","names=[\"a'\"]) # mask is array mask = pa.array([True, False, None, False, True]) result","mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is python","result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def","True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null)","None])) result = arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result","file # to you under the Apache License, Version 2.0 (the # \"License\");","10 arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert","None, None])) result = arr1 > arr2 assert result.equals(con([False, True, False, None, None]))","True, None])) result = arr < scalar assert result.equals(con([True, False, False, None])) result","\"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in","pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices =","indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for","None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]),","None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\", None, \"c\", \"d\",","same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def","pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in","= pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices","# noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def","'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected","python object [True, False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop)","if typ == \"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values])","('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16',","length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be the same","in [ # mask is array pa.array([True, False, None, False, True]), # mask","non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) #","result.equals(con([True, True, False, None])) result = arr > scalar assert result.equals(con([False, False, True,","1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6,","the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\":","[\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values): return pa.array(values) else:","\"e\"])], names=[\"a'\"]) # mask is array mask = pa.array([True, False, None, False, True])","import pytest import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True,","arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null =","False], [None, False, True]]), # mask is python object [True, False, None, False,","table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]])","(the # \"License\"); you may not use this file except in compliance #","pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\",","arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result = arr1 >=","pa.chunked_array([[True, True, True, True, None]]) for result in [ arr == arr_chunked, arr_chunked","dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong","dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong","'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(),","is array mask = pa.array([True, False, None, False, True]) result = batch.filter(mask) expected","arr2 assert result.equals(con([True, False, False, None, None])) result = arr1 != arr2 assert","True]), # mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask","True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\":","None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None,","'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type)","4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type),","None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types =","= pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2,","4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right)","pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices","result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,","= pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0],","2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types","0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with","= pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) ==","2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr","test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,","null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table =","4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result in [","law or agreed to in writing, # software distributed under the License is","pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((),","result = arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result =","# wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all be","# software distributed under the License is distributed on an # \"AS IS\"","to you under the Apache License, Version 2.0 (the # \"License\"); you may","False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask,","TODO this is a hacky way to construct a scalar .. scalar =","= pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1,","con([1, 1, 4, None, 4]) result = arr1 == arr2 assert result.equals(con([True, False,","\"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean dtype mask","file # distributed with this work for additional information # regarding copyright ownership.","= pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered):","# Licensed to the Apache Software Foundation (ASF) under one # or more","2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected =","None, False, True]), # mask is chunked array pa.chunked_array([[True, False], [None, False, True]]),","False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert","= pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\", None, \"e\"])], names=[\"a\"]) for mask in","= arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result = arr1","None, 4]) result = arr1 == arr2 assert result.equals(con([True, False, False, None, None]))","is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is python object","None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"])","3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left,","copyright ownership. The ASF licenses this file # to you under the Apache","ownership. The ASF licenses this file # to you under the Apache License,","True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)),","arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result = arr1 >","pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True])","test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32',","result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None])","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2,","['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc',","pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None,","# Unless required by applicable law or agreed to in writing, # software","np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0,","10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None,","None # noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types)","all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)),","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","\"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj","assert result.equals(con([False, True, True, None, None])) result = arr1 < arr2 assert result.equals(con([False,","arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5])","== None # noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type',","object [True, False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result","arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711","np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)),","'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(),","to in writing, # software distributed under the License is distributed on an","= pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices)","0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate()","= arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask","] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ]","agreed to in writing, # software distributed under the License is distributed on","\"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\",","= pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0,","('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd',","pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8',","type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr =","False, True, None, None])) result = arr1 <= arr2 assert result.equals(con([True, False, True,","in [ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert","right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left","np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5,","\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express","= pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices =","arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\"must all","None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1,","is a hacky way to construct a scalar .. scalar = pa.array([2]).sum() result","None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\")",".. scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False,","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result","('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5,","right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected =","to the Apache Software Foundation (ASF) under one # or more contributor license","numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type',","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3,","True, None])) result = arr >= scalar assert result.equals(con([False, True, True, None])) def","pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1,","pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ])","under the License. import numpy as np import pytest import pyarrow as pa","5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected","\"c\", \"d\", \"e\"])], names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for","same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) expected_drop","'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd',","test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None,","= pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]:","= arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result = arr1","typ == \"array\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1","result = arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\"typ\", [\"array\",","use this file except in compliance # with the License. You may obtain","right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected =","b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()),","= pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([","-1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3,","3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15]) assert","@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True,","expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\"a\",","type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected)","def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2,","Software Foundation (ASF) under one # or more contributor license agreements. See the","\"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: # non-boolean dtype mask =","pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,","# noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4],","the License is distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR","arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left","('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a',","with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr","None], [False, True]]), # mask is python object [True, False, None, False, True]","names=[\"a'\"]) table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr,","result.equals(con([True, False, False, None])) result = arr <= scalar assert result.equals(con([True, True, False,","result = arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr","all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]:","all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False,","pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected","[None, False, True]]), # mask is python object [True, False, None, False, True]","pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type)","arr <= scalar assert result.equals(con([True, True, False, None])) result = arr > scalar","con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this is","permissions and limitations # under the License. import numpy as np import pytest","pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2,","4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3,","result = arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result =","16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()),","assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None # noqa:","False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)),","'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr","0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False,","arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def","4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0,","2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5])","def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\",","False, None], [False, True]]), # mask is python object [True, False, None, False,","See the NOTICE file # distributed with this work for additional information #","True, True, True, None]]) for result in [ arr == arr_chunked, arr_chunked ==","= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10","result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty))","obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ == \"array\": def con(values): return","match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if","pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr =","2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None],","= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask","the NOTICE file # distributed with this work for additional information # regarding","pa.chunked_array([[True, False], [None, False, True]]), # mask is python object [True, False, None,","in writing, # software distributed under the License is distributed on an #","the Apache Software Foundation (ASF) under one # or more contributor license agreements.","4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2,","License. import numpy as np import pytest import pyarrow as pa import pyarrow.compute","type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1,","result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15]) assert result.equals(expected)","4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2],","'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b',","['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2,","with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError,","as pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]),","result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) #","= pa.chunked_array([[\"a\"], [None, \"e\"]]) for mask in [ # mask is array pa.array([True,","None], [\"c\", \"d\", \"e\"]]) expected_drop = pa.chunked_array([[\"a\"], [\"e\"]]) expected_null = pa.chunked_array([[\"a\"], [None, \"e\"]])","pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False, None],","assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch =","True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null)","None, \"c\", \"d\", \"e\"])], names=[\"a\"]) expected_drop = pa.table([pa.array([\"a\", \"e\"])], names=[\"a\"]) expected_null = pa.table([pa.array([\"a\",","True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\"a\", \"e\"])], names=[\"a'\"]) assert result.equals(expected) result =","arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\", \"e\"]]) batch = pa.record_batch( [pa.array([\"a\", None, \"c\",","= pa.chunked_array([[True, True, True, True, None]]) for result in [ arr == arr_chunked,","arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4,","table = pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch,","arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum()","arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask =","None, None])) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_scalar(typ): if typ == \"array\": def con(values):","None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert","result = arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result =","# with the License. You may obtain a copy of the License at","@pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2],","all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def test_compare_array(typ): if typ","assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch(","governing permissions and limitations # under the License. import numpy as np import","None, \"e\"])], names=[\"a\"]) for mask in [ # mask is array pa.array([True, False,","np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)),","result.equals(con([False, False, True, None, None])) result = arr1 <= arr2 assert result.equals(con([True, False,","result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert","noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for","test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3],",">= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2,","test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True, None])","Apache License, Version 2.0 (the # \"License\"); you may not use this file","be the same length\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\"a\", None], [\"c\", \"d\",","and limitations # under the License. import numpy as np import pytest import","type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type)","4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right)","result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])], names=[\"a'\"]) assert result.equals(expected)","pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False, None])) result =","with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8',","type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4],","def test_compare_array(typ): if typ == \"array\": def con(values): return pa.array(values) else: def con(values):","under one # or more contributor license agreements. See the NOTICE file #","# to you under the Apache License, Version 2.0 (the # \"License\"); you","required by applicable law or agreed to in writing, # software distributed under","== ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is","]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def","1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]),","= pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask)","0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd',","pa.record_batch( [pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a'\"]) # mask is array mask =","b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5,","3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a':","pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3,","pa.table([pa.array([\"a\", None, \"c\", \"d\", \"e\"])], names=[\"a\"]) for obj in [arr, batch, table]: #","test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices =","= pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False, None])) result","by applicable law or agreed to in writing, # software distributed under the","test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,","for additional information # regarding copyright ownership. The ASF licenses this file #","scalar assert result.equals(con([True, False, False, None])) result = arr <= scalar assert result.equals(con([True,","type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert","with pytest.raises(pa.ArrowInvalid, match=\"must all be the same length\"): obj.filter(mask) @pytest.mark.parametrize(\"typ\", [\"array\", \"chunked_array\"]) def","4, None, 4]) result = arr1 == arr2 assert result.equals(con([True, False, False, None,","(pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b':","= arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\"emit_null\") assert result.equals(expected_null) def test_filter_record_batch(): batch","the License for the # specific language governing permissions and limitations # under","import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False,","result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected)","applicable law or agreed to in writing, # software distributed under the License","= pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]])","right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left","1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3,","False, None])) result = arr > scalar assert result.equals(con([False, False, True, None])) result","None, None])) result = arr1 != arr2 assert result.equals(con([False, True, True, None, None]))","arr < scalar assert result.equals(con([True, False, False, None])) result = arr <= scalar","== 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() ==","\"e\"])], names=[\"a'\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\"emit_null\") expected = pa.record_batch([pa.array([\"a\", None, \"e\"])],","'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a',","result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3],","None, False, True]), # mask is chunked array pa.chunked_array([[True, False, None], [False, True]]),","assert result.equals(con([True, False, True, None, None])) result = arr1 > arr2 assert result.equals(con([False,","False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32',"],"string":"[\n \"distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result\",\n \"table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr =\",\n \"2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 =\",\n \"assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr =\",\n \"indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0,\",\n \"array pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False],\",\n \"batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is array pa.array([True, False, None,\",\n \"None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result in [ arr\",\n \"{'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [\",\n \"License for the # specific language governing permissions and limitations # under the\",\n \"[pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False,\",\n \"with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid,\",\n \"pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr\",\n \"0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a',\",\n \"(ASF) under one # or more contributor license agreements. See the NOTICE file\",\n \"\\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table =\",\n \"scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3,\",\n \"pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must\",\n \"['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values):\",\n \"all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\",\",\n \"# mask is array pa.array([True, False, None, False, True]), # mask is chunked\",\n \"assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values,\",\n \"test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return\",\n \"None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with\",\n \"assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'),\",\n \"10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr)\",\n \"None])) result = arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed():\",\n \"scalar assert result.equals(con([False, True, False, None])) result = arr != scalar assert result.equals(con([True,\",\n \"assert result.equals(con([False, True, False, None, None])) result = arr1 >= arr2 assert result.equals(con([True,\",\n \"arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1,\",\n \"'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result =\",\n \"software distributed under the License is distributed on an # \\\"AS IS\\\" BASIS,\",\n \"pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 = con([1, 1,\",\n \"1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8,\",\n \"pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask =\",\n \"[5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b':\",\n \"3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1,\",\n \"('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()),\",\n \"language governing permissions and limitations # under the License. import numpy as np\",\n \"True, False, None])) result = arr != scalar assert result.equals(con([True, False, True, None]))\",\n \"scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False, None]))\",\n \"'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']),\",\n \"def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,\",\n \"== scalar assert result.equals(con([False, True, False, None])) result = arr != scalar assert\",\n \"pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def\",\n \"length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop =\",\n \"None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde',\",\n \"for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices =\",\n \"= pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None,\",\n \"1, 4, None, 4]) result = arr1 == arr2 assert result.equals(con([True, False, False,\",\n \"None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3,\",\n \"assert result.equals(con([False, False, True, None])) result = arr >= scalar assert result.equals(con([False, True,\",\n \"expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [\",\n \"== \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 =\",\n \"arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True,\",\n \"= pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"],\",\n \"batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected\",\n \"arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert\",\n \"2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3]))\",\n \"this is a hacky way to construct a scalar .. scalar = pa.array([2]).sum()\",\n \"expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left =\",\n \"assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right =\",\n \"under the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES\",\n \"additional information # regarding copyright ownership. The ASF licenses this file # to\",\n \"# wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be\",\n \"# \\\"License\\\"); you may not use this file except in compliance # with\",\n \"0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with\",\n \"False, True]]), # mask is python object [True, False, None, False, True] ]:\",\n \"arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3,\",\n \"10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ])\",\n \"arr = con([1, 2, 3, None]) # TODO this is a hacky way\",\n \"pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2,\",\n \"Licensed to the Apache Software Foundation (ASF) under one # or more contributor\",\n \"b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1],\",\n \"[True, False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result =\",\n \"result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None],\",\n \"True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked =\",\n \"@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in\",\n \"pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa:\",\n \"or more contributor license agreements. See the NOTICE file # distributed with this\",\n \"assert result.equals(con([True, False, True, None])) result = arr < scalar assert result.equals(con([True, False,\",\n \"'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate()\",\n \"pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for\",\n \"expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is\",\n \"False, True]), # mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), #\",\n \"OR CONDITIONS OF ANY # KIND, either express or implied. See the License\",\n \"Foundation (ASF) under one # or more contributor license agreements. See the NOTICE\",\n \"type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None #\",\n \"with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr =\",\n \"expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask is array\",\n \"= arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"])\",\n \"result = arr < scalar assert result.equals(con([True, False, False, None])) result = arr\",\n \"= arr == scalar assert result.equals(con([False, True, False, None])) result = arr !=\",\n \"Apache Software Foundation (ASF) under one # or more contributor license agreements. See\",\n \"False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert\",\n \"2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0,\",\n \"# TODO this is a hacky way to construct a scalar .. scalar\",\n \"arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result = arr1 <\",\n \"6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64()\",\n \"= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask\",\n \"result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch(\",\n \"== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type)\",\n \"False, False, None, None])) result = arr1 != arr2 assert result.equals(con([False, True, True,\",\n \"pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this is a hacky\",\n \"pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a':\",\n \"assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate()\",\n \"= pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]])\",\n \"mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length\",\n \"def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]])\",\n \"= pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1,\",\n \"= pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]])\",\n \"3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True,\",\n \"True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr\",\n \"None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True,\",\n \"pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10\",\n \"mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is python\",\n \"in compliance # with the License. You may obtain a copy of the\",\n \"scalar assert result.equals(con([False, False, True, None])) result = arr >= scalar assert result.equals(con([False,\",\n \"implied. See the License for the # specific language governing permissions and limitations\",\n \"or agreed to in writing, # software distributed under the License is distributed\",\n \"def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices\",\n \"numpy as np import pytest import pyarrow as pa import pyarrow.compute all_array_types =\",\n \"assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values):\",\n \"result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask,\",\n \"pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract():\",\n \"values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result\",\n \"= arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right =\",\n \"arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"# mask is python object [True, False, None, False, True] ]: result =\",\n \"con([1, 2, 3, None]) # TODO this is a hacky way to construct\",\n \"arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types)\",\n \"null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0,\",\n \"type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result = arr.take(indices)\",\n \"license agreements. See the NOTICE file # distributed with this work for additional\",\n \"assert result.equals(con([True, False, False, None, None])) result = arr1 != arr2 assert result.equals(con([False,\",\n \"arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result\",\n \"E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert\",\n \"[pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True,\",\n \"def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,\",\n \"values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0])\",\n \"\\\"License\\\"); you may not use this file except in compliance # with the\",\n \"'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices)\",\n \"con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3,\",\n \"scalar assert result.equals(con([True, True, False, None])) result = arr > scalar assert result.equals(con([False,\",\n \"result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype\",\n \"result.equals(con([True, False, False, None, None])) result = arr1 != arr2 assert result.equals(con([False, True,\",\n \"for obj in [arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1,\",\n \"\\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else: def\",\n \"= arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result = arr1\",\n \"np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b',\",\n \"[4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected = pa.chunked_array([[True, True,\",\n \"None, None])) result = arr1 <= arr2 assert result.equals(con([True, False, True, None, None]))\",\n \"None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3,\",\n \"'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None],\",\n \"either express or implied. See the License for the # specific language governing\",\n \"np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64',\",\n \"assert result.equals(con([False, False, True, None, None])) result = arr1 <= arr2 assert result.equals(con([True,\",\n \"= pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null\",\n \"== \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr =\",\n \"result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def\",\n \"result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]:\",\n \"2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4,\",\n \"import numpy as np import pytest import pyarrow as pa import pyarrow.compute all_array_types\",\n \"not use this file except in compliance # with the License. You may\",\n \"pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None\",\n \"array pa.chunked_array([[True, False], [None, False, True]]), # mask is python object [True, False,\",\n \"pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null =\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"# or more contributor license agreements. See the NOTICE file # distributed with\",\n \"batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None,\",\n \"arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if\",\n \"expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices)\",\n \"is python object [True, False, None, False, True] ]: result = arr.filter(mask) assert\",\n \"the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]])\",\n \"empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([],\",\n \"None])) result = arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result\",\n \"'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False,\",\n \"# mask is array mask = pa.array([True, False, None, False, True]) result =\",\n \"arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2,\",\n \"WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the\",\n \"('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double',\",\n \"def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10\",\n \"result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected\",\n \"True, None, None])) result = arr1 > arr2 assert result.equals(con([False, True, False, None,\",\n \"arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result =\",\n \"pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask =\",\n \"pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1,\",\n \"'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def',\",\n \"expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask\",\n \"[pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the\",\n \"[\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else:\",\n \"== 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert\",\n \"None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty)\",\n \"noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type):\",\n \"<reponame>kylebrandt/arrow # Licensed to the Apache Software Foundation (ASF) under one # or\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"[\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for\",\n \"pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0,\",\n \"np import pytest import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool',\",\n \"\\\"e\\\"]]) for mask in [ # mask is array pa.array([True, False, None, False,\",\n \"4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr =\",\n \"arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr =\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean\",\n \"8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right\",\n \"array pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False,\",\n \"4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr))\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3,\",\n \"# non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask)\",\n \"names=[\\\"a\\\"]) for mask in [ # mask is array pa.array([True, False, None, False,\",\n \"names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean dtype mask = pa.array([0,\",\n \"= pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\",\",\n \"a scalar .. scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False,\",\n \"= pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def\",\n \"# regarding copyright ownership. The ASF licenses this file # to you under\",\n \"'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ]\",\n \"test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is\",\n \"pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must\",\n \"pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1,\",\n \"more contributor license agreements. See the NOTICE file # distributed with this work\",\n \"batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array\",\n \"False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\",\",\n \"= pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def\",\n \"assert result.equals(con([False, True, False, None])) result = arr != scalar assert result.equals(con([True, False,\",\n \"2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8])\",\n \"mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"):\",\n \"python object [True, False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop)\",\n \"is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"== 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def\",\n \"in [arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1,\",\n \"result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2,\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ #\",\n \"is python object [True, False, None, False, True] ]: result = table.filter(mask) assert\",\n \"assert result.equals(con([True, True, False, None])) result = arr > scalar assert result.equals(con([False, False,\",\n \"pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result\",\n \"= pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1, 2, 3])\",\n \"mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"):\",\n \"names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask,\",\n \"6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2},\",\n \"con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4, None, 4]) result\",\n \"result = arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result =\",\n \"type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([],\",\n \"arr2 assert result.equals(con([False, False, True, None, None])) result = arr1 <= arr2 assert\",\n \"CONDITIONS OF ANY # KIND, either express or implied. See the License for\",\n \"pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) #\",\n \"[5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None,\",\n \"result.equals(con([True, False, True, None])) result = arr < scalar assert result.equals(con([True, False, False,\",\n \"# mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is\",\n \"work for additional information # regarding copyright ownership. The ASF licenses this file\",\n \"type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type)\",\n \"('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3),\",\n \"False, True, None, None])) result = arr1 > arr2 assert result.equals(con([False, True, False,\",\n \"('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None,\",\n \"== 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert\",\n \"arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1,\",\n \"indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices)\",\n \"= con([1, 1, 4, None, 4]) result = arr1 == arr2 assert result.equals(con([True,\",\n \"licenses this file # to you under the Apache License, Version 2.0 (the\",\n \"def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this\",\n \"[b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None,\",\n \"E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr\",\n \"mask in [ # mask is array pa.array([True, False, None, False, True]), #\",\n \"# \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either\",\n \"['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered\",\n \"!= scalar assert result.equals(con([True, False, True, None])) result = arr < scalar assert\",\n \"result.equals(con([False, True, True, None, None])) result = arr1 < arr2 assert result.equals(con([False, False,\",\n \"0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty,\",\n \"scalar .. scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True,\",\n \"express or implied. See the License for the # specific language governing permissions\",\n \"pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],\",\n \"False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result\",\n \"result = arr != scalar assert result.equals(con([True, False, True, None])) result = arr\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch =\",\n \"result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,\",\n \"False, None])) result = arr <= scalar assert result.equals(con([True, True, False, None])) result\",\n \"-1, 1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4,\",\n \"\\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1,\",\n \"\\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1,\",\n \"= pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is array\",\n \"3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left,\",\n \"expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left =\",\n \"]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right\",\n \"you under the Apache License, Version 2.0 (the # \\\"License\\\"); you may not\",\n \"[ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def\",\n \"arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4,\",\n \"None])) result = arr > scalar assert result.equals(con([False, False, True, None])) result =\",\n \"License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS\",\n \"names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for\",\n \"obj in [arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0,\",\n \"3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3,\",\n \"for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result\",\n \"0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary',\",\n \"= table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\",\",\n \"]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks\",\n \"pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None,\",\n \"None])) result = arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result\",\n \"@pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values)\",\n \"print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711\",\n \"= pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result = arr.filter(mask,\",\n \"left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1, 2,\",\n \"[[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3,\",\n \"= con([1, 2, 3, None]) # TODO this is a hacky way to\",\n \"3, None]) # TODO this is a hacky way to construct a scalar\",\n \"for mask in [ # mask is array pa.array([True, False, None, False, True]),\",\n \"import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)),\",\n \"arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16',\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3,\",\n \"None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2],\",\n \"[False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a',\",\n \"False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result\",\n \"mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length\",\n \"in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered',\",\n \"False, True]), # mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), #\",\n \"= pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"under the Apache License, Version 2.0 (the # \\\"License\\\"); you may not use\",\n \"pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr\",\n \"= arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result = arr1\",\n \"None])) result = arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result\",\n \"2, 3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result =\",\n \"result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with\",\n \"def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10\",\n \"pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4,\",\n \"None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return\",\n \"arr > scalar assert result.equals(con([False, False, True, None])) result = arr >= scalar\",\n \"License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty))\",\n \"('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64',\",\n \"10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string',\",\n \"b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3,\",\n \"arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5))\",\n \"length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same\",\n \"pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4,\",\n \"or implied. See the License for the # specific language governing permissions and\",\n \"3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type),\",\n \"values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0,\",\n \"None])) result = arr < scalar assert result.equals(con([True, False, False, None])) result =\",\n \"5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected\",\n \"result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null')\",\n \"is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is python object\",\n \"pa.array([True, False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr =\",\n \"arr2 assert result.equals(con([False, True, False, None, None])) result = arr1 >= arr2 assert\",\n \"== ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty,\",\n \"== arr2 assert result.equals(con([True, False, False, None, None])) result = arr1 != arr2\",\n \"pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def\",\n \"pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr =\",\n \"distributed under the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT\",\n \"non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) #\",\n \"mask is array mask = pa.array([True, False, None, False, True]) result = batch.filter(mask)\",\n \"mask = pa.array([True, False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\",\",\n \"[ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected)\",\n \"= pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices\",\n \"is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask\",\n \"values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) #\",\n \"2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([\",\n \"assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"[arr, batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0])\",\n \"4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right)\",\n \"test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert\",\n \"pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4],\",\n \"= table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr\",\n \"= arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate()\",\n \"pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2,\",\n \"pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4],\",\n \"False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False, None], [False,\",\n \"object [True, False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result\",\n \"True, True, None, None])) result = arr1 < arr2 assert result.equals(con([False, False, True,\",\n \"expected = pa.chunked_array([[True, True, True, True, None]]) for result in [ arr ==\",\n \"pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0,\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in\",\n \"pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr,\",\n \"3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(),\",\n \"values[2], None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False, None,\",\n \"]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type),\",\n \"be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ ==\",\n \"2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right\",\n \"1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2,\",\n \"[ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5,\",\n \"chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is python object [True,\",\n \"== arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1,\",\n \"type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError):\",\n \"assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ\",\n \"3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert\",\n \"def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 =\",\n \"2, 3, None]) # TODO this is a hacky way to construct a\",\n \"4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2],\",\n \"mask is array pa.array([True, False, None, False, True]), # mask is chunked array\",\n \"obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean dtype\",\n \"result.equals(con([False, True, False, None])) result = arr != scalar assert result.equals(con([True, False, True,\",\n \"Unless required by applicable law or agreed to in writing, # software distributed\",\n \"3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b',\",\n \"E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type\",\n \"(pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2,\",\n \"b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]),\",\n \"arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() ==\",\n \"distributed with this work for additional information # regarding copyright ownership. The ASF\",\n \"= con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4, None, 4])\",\n \"True, None, None])) result = arr1 <= arr2 assert result.equals(con([True, False, True, None,\",\n \"test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null\",\n \"return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None])\",\n \"pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None],\",\n \"indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected =\",\n \"2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None])\",\n \"None])) result = arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\",\",\n \"pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None #\",\n \"return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this is a\",\n \"('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5,\",\n \"result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1,\",\n \"\\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else: def\",\n \"1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True])\",\n \"regarding copyright ownership. The ASF licenses this file # to you under the\",\n \"arr2 = con([1, 1, 4, None, 4]) result = arr1 == arr2 assert\",\n \"result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected)\",\n \"# KIND, either express or implied. See the License for the # specific\",\n \"None, None])) result = arr1 >= arr2 assert result.equals(con([True, True, False, None, None]))\",\n \"pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b': 4},\",\n \"this work for additional information # regarding copyright ownership. The ASF licenses this\",\n \"= arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist()\",\n \"1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1,\",\n \"True]), # mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask\",\n \"expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected =\",\n \"ANY # KIND, either express or implied. See the License for the #\",\n \"specific language governing permissions and limitations # under the License. import numpy as\",\n \"arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left =\",\n \"contributor license agreements. See the NOTICE file # distributed with this work for\",\n \"result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c']\",\n \"assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types)\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr\",\n \"1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a',\",\n \"pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2\",\n \"ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a']\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop =\",\n \"('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)),\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False,\",\n \"ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask =\",\n \"False, True, None])) result = arr >= scalar assert result.equals(con([False, True, True, None]))\",\n \"construct a scalar .. scalar = pa.array([2]).sum() result = arr == scalar assert\",\n \"2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4,\",\n \"5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(),\",\n \"= pa.array([True, False, None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])],\",\n \"assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop\",\n \"= pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']:\",\n \"pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None])\",\n \"type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean\",\n \"pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices =\",\n \"null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0],\",\n \"pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is array pa.array([True,\",\n \"result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(),\",\n \"[\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table\",\n \"> scalar assert result.equals(con([False, False, True, None])) result = arr >= scalar assert\",\n \"[ # mask is array pa.array([True, False, None, False, True]), # mask is\",\n \"See the License for the # specific language governing permissions and limitations #\",\n \"np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']),\",\n \"= arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) #\",\n \"pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8',\",\n \"-1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8',\",\n \"IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or\",\n \"('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float',\",\n \"pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False], [None,\",\n \"[3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5,\",\n \"2.0 (the # \\\"License\\\"); you may not use this file except in compliance\",\n \"b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4],\",\n \"pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"[9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a',\",\n \"pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices\",\n \"None]) # TODO this is a hacky way to construct a scalar ..\",\n \"] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert\",\n \"arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result = arr1 !=\",\n \"3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left,\",\n \"3, 4, None]) arr2 = con([1, 1, 4, None, 4]) result = arr1\",\n \"type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices =\",\n \"0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False,\",\n \"result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None,\",\n \"[3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result in\",\n \"False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def\",\n \"KIND, either express or implied. See the License for the # specific language\",\n \"expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]:\",\n \"> arr2 assert result.equals(con([False, True, False, None, None])) result = arr1 >= arr2\",\n \"@pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values)\",\n \"arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"pa.chunked_array([[True, False, None], [False, True]]), # mask is python object [True, False, None,\",\n \"b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2],\",\n \"3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr =\",\n \"def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1,\",\n \"2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15])\",\n \"None]) arr2 = con([1, 1, 4, None, 4]) result = arr1 == arr2\",\n \"False, False, None])) result = arr <= scalar assert result.equals(con([True, True, False, None]))\",\n \"2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4],\",\n \"= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)\",\n \"assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right =\",\n \"== None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2,\",\n \"pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr\",\n \"pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask is array pa.array([True, False,\",\n \"compliance # with the License. You may obtain a copy of the License\",\n \"arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr)\",\n \"null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch\",\n \"< arr2 assert result.equals(con([False, False, True, None, None])) result = arr1 <= arr2\",\n \"'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr =\",\n \"None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(),\",\n \"indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError):\",\n \"@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr)\",\n \"{'a': 1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b':\",\n \"= pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1,\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See\",\n \"with the License. You may obtain a copy of the License at #\",\n \"information # regarding copyright ownership. The ASF licenses this file # to you\",\n \"{'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(),\",\n \"pytest import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True, False,\",\n \"[True, False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result =\",\n \"def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2,\",\n \"arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64',\",\n \"scalar assert result.equals(con([True, False, True, None])) result = arr < scalar assert result.equals(con([True,\",\n \"indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty)\",\n \"1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"<= arr2 assert result.equals(con([True, False, True, None, None])) result = arr1 > arr2\",\n \"True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result =\",\n \"one # or more contributor license agreements. See the NOTICE file # distributed\",\n \"[pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate()\",\n \"with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2,\",\n \"result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ ==\",\n \"except in compliance # with the License. You may obtain a copy of\",\n \"pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==\",\n \"True, None, None])) result = arr1 < arr2 assert result.equals(con([False, False, True, None,\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"you may not use this file except in compliance # with the License.\",\n \"[ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)),\",\n \"None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"to construct a scalar .. scalar = pa.array([2]).sum() result = arr == scalar\",\n \"the License. import numpy as np import pytest import pyarrow as pa import\",\n \"False, None, None])) result = arr1 != arr2 assert result.equals(con([False, True, True, None,\",\n \"= arr != scalar assert result.equals(con([True, False, True, None])) result = arr <\",\n \"as np import pytest import pyarrow as pa import pyarrow.compute all_array_types = [\",\n \"4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6],\",\n \"indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def\",\n \"['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() ==\",\n \"4, None]) arr2 = con([1, 1, 4, None, 4]) result = arr1 ==\",\n \"False, None, None])) result = arr1 >= arr2 assert result.equals(con([True, True, False, None,\",\n \"numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) ==\",\n \"an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND,\",\n \"type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert\",\n \"[2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [\",\n \"= pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None\",\n \"values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type)\",\n \"2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist()\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None,\",\n \"arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result = arr1 <=\",\n \"False, None])) result = arr != scalar assert result.equals(con([True, False, True, None])) result\",\n \"[9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a':\",\n \"def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32',\",\n \"True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b',\",\n \"'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'),\",\n \"= batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\")\",\n \"pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]],\",\n \"arr != scalar assert result.equals(con([True, False, True, None])) result = arr < scalar\",\n \"= arr > scalar assert result.equals(con([False, False, True, None])) result = arr >=\",\n \"== arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add():\",\n \"assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert\",\n \"def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values):\",\n \"pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr\",\n \"result.equals(con([True, False, True, None, None])) result = arr1 > arr2 assert result.equals(con([False, True,\",\n \"= pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) ==\",\n \"this file # to you under the Apache License, Version 2.0 (the #\",\n \"arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert\",\n \"arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"],\",\n \"4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4,\",\n \"result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\",\",\n \"== None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr =\",\n \"= pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type\",\n \"None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\")\",\n \"# # Unless required by applicable law or agreed to in writing, #\",\n \"5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected\",\n \"2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks ==\",\n \"type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2,\",\n \"[b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1,\",\n \"# noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty)\",\n \"result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected)\",\n \"= arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type\",\n \"# empty indices indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected =\",\n \"= pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"limitations # under the License. import numpy as np import pytest import pyarrow\",\n \"Version 2.0 (the # \\\"License\\\"); you may not use this file except in\",\n \"for the # specific language governing permissions and limitations # under the License.\",\n \"== 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711\",\n \"== arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4,\",\n \"arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) ==\",\n \"4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(),\",\n \"True, False, None])) result = arr > scalar assert result.equals(con([False, False, True, None]))\",\n \"True]]), # mask is python object [True, False, None, False, True] ]: result\",\n \"type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,\",\n \"# under the License. import numpy as np import pytest import pyarrow as\",\n \"for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError):\",\n \"= pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result =\",\n \"noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)])\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False, None, False,\",\n \"else: def con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO\",\n \"0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']),\",\n \"numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() ==\",\n \"pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16',\",\n \"result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors():\",\n \"a hacky way to construct a scalar .. scalar = pa.array([2]).sum() result =\",\n \"\\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask\",\n \"OF ANY # KIND, either express or implied. See the License for the\",\n \"BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied.\",\n \"[True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)),\",\n \"result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch():\",\n \"result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\",\",\n \"pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected\",\n \"6], None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9,\",\n \"4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([],\",\n \"array mask = pa.array([True, False, None, False, True]) result = batch.filter(mask) expected =\",\n \"3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert\",\n \"con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3,\",\n \"mask = pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert\",\n \"[\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask is\",\n \"result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices\",\n \"1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True])\",\n \"test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])],\",\n \"pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ):\",\n \"pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type):\",\n \"pa.compute.sum(arr) == 10 arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0\",\n \"type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa:\",\n \"arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty\",\n \"None, False, True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected)\",\n \"result = arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result =\",\n \"None])) result = arr != scalar assert result.equals(con([True, False, True, None])) result =\",\n \"pa.array(values, type=ty) mask = pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop')\",\n \"<= scalar assert result.equals(con([True, True, False, None])) result = arr > scalar assert\",\n \"assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None],\",\n \"test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,\",\n \"1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True,\",\n \"b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9,\",\n \"]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def\",\n \"return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4,\",\n \"type=ty) mask = pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate()\",\n \"array pa.chunked_array([[True, False, None], [False, True]]), # mask is python object [True, False,\",\n \"License, Version 2.0 (the # \\\"License\\\"); you may not use this file except\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type)\",\n \"arr2 assert result.equals(con([False, True, True, None, None])) result = arr1 < arr2 assert\",\n \"result.equals(con([False, False, True, None])) result = arr >= scalar assert result.equals(con([False, True, True,\",\n \"test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return\",\n \">= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ):\",\n \"this file except in compliance # with the License. You may obtain a\",\n \"def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask\",\n \"True, None]]) for result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked\",\n \"result = arr == scalar assert result.equals(con([False, True, False, None])) result = arr\",\n \"arr2 assert result.equals(con([True, False, True, None, None])) result = arr1 > arr2 assert\",\n \"pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True,\",\n \"'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(),\",\n \"= pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0],\",\n \"result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty)\",\n \"None]]) for result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked ==\",\n \"may not use this file except in compliance # with the License. You\",\n \"result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected) for\",\n \"is array pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True,\",\n \"-1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2,\",\n \"False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask,\",\n \"type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize(('ty',\",\n \"1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True,\",\n \"ASF licenses this file # to you under the Apache License, Version 2.0\",\n \"assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0,\",\n \"2, 3, 4, None]) arr2 = con([1, 1, 4, None, 4]) result =\",\n \"None, None])) result = arr1 < arr2 assert result.equals(con([False, False, True, None, None]))\",\n \"arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4,\",\n \"None])) result = arr <= scalar assert result.equals(con([True, True, False, None])) result =\",\n \"4]) result = arr1 == arr2 assert result.equals(con([True, False, False, None, None])) result\",\n \"('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b',\",\n \"None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([], type=indices_type) result =\",\n \"result.equals(con([False, True, False, None, None])) result = arr1 >= arr2 assert result.equals(con([True, True,\",\n \"2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2])\",\n \"# distributed with this work for additional information # regarding copyright ownership. The\",\n \"arr1 = con([1, 2, 3, 4, None]) arr2 = con([1, 1, 4, None,\",\n \"None # noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values,\",\n \"mask is python object [True, False, None, False, True] ]: result = table.filter(mask)\",\n \"right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected =\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])],\",\n \"= pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask)\",\n \"on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY #\",\n \"null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"(pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b',\",\n \"indices = pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert\",\n \"arr == scalar assert result.equals(con([False, True, False, None])) result = arr != scalar\",\n \"= [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types)\",\n \"# non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask)\",\n \"False, True, None])) result = arr < scalar assert result.equals(con([True, False, False, None]))\",\n \"np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)),\",\n \"!= arr2 assert result.equals(con([False, True, True, None, None])) result = arr1 < arr2\",\n \"False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert\",\n \"with this work for additional information # regarding copyright ownership. The ASF licenses\",\n \"way to construct a scalar .. scalar = pa.array([2]).sum() result = arr ==\",\n \"'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty',\",\n \"< scalar assert result.equals(con([True, False, False, None])) result = arr <= scalar assert\",\n \"chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is python object [True,\",\n \"type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type)\",\n \"names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"])\",\n \"= pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask\",\n \"True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"])\",\n \"the License. You may obtain a copy of the License at # #\",\n \"assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])],\",\n \"True, True, None]]) for result in [ arr == arr_chunked, arr_chunked == arr,\",\n \"= arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5])\",\n \"[[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]),\",\n \"result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered\",\n \"pa.array([1, 2], type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10\",\n \"result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask = pa.array([0, 1, 0, 1,\",\n \"agreements. See the NOTICE file # distributed with this work for additional information\",\n \"= batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table():\",\n \"assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type)\",\n \"= pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0,\",\n \"= pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1,\",\n \"writing, # software distributed under the License is distributed on an # \\\"AS\",\n \"expected = pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices\",\n \"pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\",\",\n \"arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr)\",\n \"np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0,\",\n \"6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5])\",\n \"mask is python object [True, False, None, False, True] ]: result = arr.filter(mask)\",\n \"assert result.to_pylist() == ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert\",\n \"match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None],\",\n \"the # specific language governing permissions and limitations # under the License. import\",\n \"else: def con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2\",\n \"= [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16',\",\n \"result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError):\",\n \"con(values): return pa.chunked_array([values]) arr1 = con([1, 2, 3, 4, None]) arr2 = con([1,\",\n \"NOTICE file # distributed with this work for additional information # regarding copyright\",\n \"[None, \\\"e\\\"]]) for mask in [ # mask is array pa.array([True, False, None,\",\n \"arr = pa.chunked_array((), type=arrow_type) print(arr, type(arr)) assert arr.num_chunks == 0 assert pa.compute.sum(arr) ==\",\n \"pa.compute.subtract(left, right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply():\",\n \"assert result.equals(expected) indices = pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1])\",\n \"wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the\",\n \"table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError):\",\n \"table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected) indices = pa.array([2, 5]) with\",\n \"# specific language governing permissions and limitations # under the License. import numpy\",\n \"hacky way to construct a scalar .. scalar = pa.array([2]).sum() result = arr\",\n \"2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2],\",\n \"def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\",\",\n \"('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5,\",\n \"= pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ #\",\n \"False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False], [None, False,\",\n \"arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def\",\n \"result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,\",\n \"result = arr > scalar assert result.equals(con([False, False, True, None])) result = arr\",\n \"np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c',\",\n \"= arr <= scalar assert result.equals(con([True, True, False, None])) result = arr >\",\n \"names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask\",\n \"[False, True]]), # mask is python object [True, False, None, False, True] ]:\",\n \"def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2,\",\n \"def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True,\",\n \"def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'],\",\n \"the Apache License, Version 2.0 (the # \\\"License\\\"); you may not use this\",\n \"True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32',\",\n \"10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr)\",\n \"test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2], ['a', 'b', 'c'], ordered=ordered)\",\n \"in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4,\",\n \"indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result =\",\n \"batch, table]: # non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with\",\n \"True, False, None, None])) result = arr1 >= arr2 assert result.equals(con([True, True, False,\",\n \"pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"= arr < scalar assert result.equals(con([True, False, False, None])) result = arr <=\",\n \"= arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr =\",\n \"assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4,\",\n \"pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [\",\n \"@pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum()\",\n \"pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4],\",\n \"= arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result = arr1\",\n \"result = arr <= scalar assert result.equals(con([True, True, False, None])) result = arr\",\n \"for result in [ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2,\",\n \"assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None #\",\n \"in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices)\",\n \"True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked\",\n \"assert result.equals(con([True, False, False, None])) result = arr <= scalar assert result.equals(con([True, True,\",\n \"pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask\",\n \"length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values):\",\n \"pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices = pa.array([],\",\n \"typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr\",\n \"10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() == None\",\n \"4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1,\",\n \"= pa.array([], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([], type=ty) assert result.equals(expected)\",\n \"5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types():\",\n \"(pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6],\",\n \"False, True]) with pytest.raises(ValueError, match=\\\"must all be the same length\\\"): arr.filter(mask) def test_filter_chunked_array():\",\n \"# mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is\",\n \"The ASF licenses this file # to you under the Apache License, Version\",\n \"file except in compliance # with the License. You may obtain a copy\",\n \"result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with\",\n \"assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\",\",\n \"names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False, None, False, True]) result\",\n \"mask is chunked array pa.chunked_array([[True, False, None], [False, True]]), # mask is python\",\n \"result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def\",\n \"True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null)\",\n \"None])) result = arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result\",\n \"file # to you under the Apache License, Version 2.0 (the # \\\"License\\\");\",\n \"10 arr = pa.array([], type=arrow_type) assert arr.sum() == None # noqa: E711 assert\",\n \"None, None])) result = arr1 > arr2 assert result.equals(con([False, True, False, None, None]))\",\n \"True, None])) result = arr < scalar assert result.equals(con([True, False, False, None])) result\",\n \"\\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in\",\n \"pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices =\",\n \"indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for\",\n \"None, [9, 16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]),\",\n \"None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\",\",\n \"same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def\",\n \"pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in\",\n \"= pa.array([0, 4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices\",\n \"# noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def\",\n \"'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected\",\n \"python object [True, False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop)\",\n \"if typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values])\",\n \"('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16',\",\n \"length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be the same\",\n \"in [ # mask is array pa.array([True, False, None, False, True]), # mask\",\n \"non-boolean dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) #\",\n \"result.equals(con([True, True, False, None])) result = arr > scalar assert result.equals(con([False, False, True,\",\n \"1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6,\",\n \"the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\":\",\n \"[\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else:\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask = pa.array([True, False, None, False, True])\",\n \"import pytest import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True,\",\n \"arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null =\",\n \"False], [None, False, True]]), # mask is python object [True, False, None, False,\",\n \"table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]])\",\n \"(the # \\\"License\\\"); you may not use this file except in compliance #\",\n \"pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\",\",\n \"arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result = arr1 >=\",\n \"pa.chunked_array([[True, True, True, True, None]]) for result in [ arr == arr_chunked, arr_chunked\",\n \"dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong\",\n \"dtype mask = pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong\",\n \"'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(),\",\n \"is array mask = pa.array([True, False, None, False, True]) result = batch.filter(mask) expected\",\n \"arr2 assert result.equals(con([True, False, False, None, None])) result = arr1 != arr2 assert\",\n \"True]), # mask is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask\",\n \"True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\":\",\n \"None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None,\",\n \"'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type)\",\n \"4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type),\",\n \"None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types =\",\n \"= pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4, 2,\",\n \"4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right)\",\n \"pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices\",\n \"result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0,\",\n \"= pa.array([True, False, False, True, None]) result = arr.filter(mask, null_selection_behavior='drop') result.validate() assert result.equals(pa.array([values[0],\",\n \"2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types\",\n \"0]) with pytest.raises(NotImplementedError): obj.filter(mask) # wrong length mask = pa.array([True, False, True]) with\",\n \"= pa.array([1, 2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) ==\",\n \"2, 3, 4], type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr\",\n \"test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,\",\n \"null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table =\",\n \"4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result in [\",\n \"law or agreed to in writing, # software distributed under the License is\",\n \"pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array((),\",\n \"result = arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result =\",\n \"# wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all be\",\n \"# software distributed under the License is distributed on an # \\\"AS IS\\\"\",\n \"to you under the Apache License, Version 2.0 (the # \\\"License\\\"); you may\",\n \"False, None, False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask,\",\n \"TODO this is a hacky way to construct a scalar .. scalar =\",\n \"= pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1,\",\n \"con([1, 1, 4, None, 4]) result = arr1 == arr2 assert result.equals(con([True, False,\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean dtype mask\",\n \"file # distributed with this work for additional information # regarding copyright ownership.\",\n \"= pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered):\",\n \"# Licensed to the Apache Software Foundation (ASF) under one # or more\",\n \"2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]]) expected =\",\n \"None, False, True]), # mask is chunked array pa.chunked_array([[True, False], [None, False, True]]),\",\n \"False, True] ]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert\",\n \"= pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in\",\n \"= arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result = arr1\",\n \"None, 4]) result = arr1 == arr2 assert result.equals(con([True, False, False, None, None]))\",\n \"is chunked array pa.chunked_array([[True, False], [None, False, True]]), # mask is python object\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"])\",\n \"3, 4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left,\",\n \"copyright ownership. The ASF licenses this file # to you under the Apache\",\n \"ownership. The ASF licenses this file # to you under the Apache License,\",\n \"True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)),\",\n \"arr1 <= arr2 assert result.equals(con([True, False, True, None, None])) result = arr1 >\",\n \"pa.float64()]: indices = pa.array([0, 4, 2], type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True])\",\n \"test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32',\",\n \"result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None])\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2,\",\n \"['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc',\",\n \"pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None,\",\n \"# Unless required by applicable law or agreed to in writing, # software\",\n \"np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0,\",\n \"10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None,\",\n \"None # noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types)\",\n \"all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)),\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"\\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj\",\n \"assert result.equals(con([False, True, True, None, None])) result = arr1 < arr2 assert result.equals(con([False,\",\n \"arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5])\",\n \"== None # noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711 @pytest.mark.parametrize('arrow_type',\",\n \"object [True, False, None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result\",\n \"arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None # noqa: E711\",\n \"np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)),\",\n \"'b': 4}, None, {'a': 5, 'b': 6}]), ] numerical_arrow_types = [ pa.int8(), pa.int16(),\",\n \"to in writing, # software distributed under the License is distributed on an\",\n \"= pa.array([2, 5]) with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices)\",\n \"0, 1, 2], ['a', 'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate()\",\n \"= arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask\",\n \"] numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ]\",\n \"agreed to in writing, # software distributed under the License is distributed on\",\n \"\\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\",\",\n \"= pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0,\",\n \"('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a', 'b', None, 'ddd',\",\n \"pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]), ('uint8',\",\n \"type=arrow_type), pa.array([], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10 arr =\",\n \"False, True, None, None])) result = arr1 <= arr2 assert result.equals(con([True, False, True,\",\n \"in [ arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert\",\n \"right) expected = pa.array([1, 3, 2, 2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left\",\n \"np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5,\",\n \"\\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express\",\n \"= pa.array([values[0], values[4], values[2], None], type=ty) assert result.equals(expected) # empty indices indices =\",\n \"arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError, match=\\\"must all\",\n \"None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1,\",\n \"is a hacky way to construct a scalar .. scalar = pa.array([2]).sum() result\",\n \"None, False, True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\")\",\n \".. scalar = pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False,\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2, None], type=indices_type) result\",\n \"('uint32', np.arange(5)), ('int32', np.arange(5)), ('uint64', np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5,\",\n \"right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected =\",\n \"to the Apache Software Foundation (ASF) under one # or more contributor license\",\n \"numerical_arrow_types = [ pa.int8(), pa.int16(), pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type',\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected = pa.array([1, 3,\",\n \"True, None])) result = arr >= scalar assert result.equals(con([False, True, True, None])) def\",\n \"pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right) expected = pa.array([1, 1,\",\n \"pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ])\",\n \"under the License. import numpy as np import pytest import pyarrow as pa\",\n \"5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected\",\n \"\\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for\",\n \"same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop\",\n \"'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd', b'ee']), (pa.binary(3), [b'abc', b'bcd',\",\n \"test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None,\",\n \"= pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]:\",\n \"= arr1 < arr2 assert result.equals(con([False, False, True, None, None])) result = arr1\",\n \"typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr1\",\n \"result = arr1 >= arr2 assert result.equals(con([True, True, False, None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\",\",\n \"use this file except in compliance # with the License. You may obtain\",\n \"right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.subtract(left, right) expected =\",\n \"b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5, 6], None, [9, 16]]), (pa.large_list(pa.int16()),\",\n \"= pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([\",\n \"-1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3,\",\n \"3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15]) assert\",\n \"@pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True,\",\n \"expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) def test_filter_table(): table = pa.table([pa.array([\\\"a\\\",\",\n \"type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert result.equals(expected)\",\n \"def con(values): return pa.array(values) else: def con(values): return pa.chunked_array([values]) arr = con([1, 2,\",\n \"Software Foundation (ASF) under one # or more contributor license agreements. See the\",\n \"\\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: # non-boolean dtype mask =\",\n \"pa.chunked_array([pa.array([1, 2, 3, 4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1,\",\n \"# noqa: E711 @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_chunked_array(arrow_type): arr = pa.chunked_array([pa.array([1, 2, 3, 4],\",\n \"the License is distributed on an # \\\"AS IS\\\" BASIS, WITHOUT WARRANTIES OR\",\n \"arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def test_arithmetic_add(): left\",\n \"('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)), ('string', ['a',\",\n \"with pytest.raises(IndexError): arr.take(indices) indices = pa.array([2, -1]) with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr\",\n \"None], [False, True]]), # mask is python object [True, False, None, False, True]\",\n \"names=[\\\"a'\\\"]) table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr,\",\n \"result.equals(con([True, False, False, None])) result = arr <= scalar assert result.equals(con([True, True, False,\",\n \"result = arr >= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr\",\n \"all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]:\",\n \"all_array_types) def test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False,\",\n \"pa.int64()]: indices = pa.array([0, 4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected\",\n \"[None, False, True]]), # mask is python object [True, False, None, False, True]\",\n \"pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3, 4], type=arrow_type)\",\n \"arr <= scalar assert result.equals(con([True, True, False, None])) result = arr > scalar\",\n \"con(values): return pa.chunked_array([values]) arr = con([1, 2, 3, None]) # TODO this is\",\n \"permissions and limitations # under the License. import numpy as np import pytest\",\n \"pa.array([0, -1, 1, 2, 3]) result = pa.compute.multiply(left, right) expected = pa.array([0, -2,\",\n \"4], type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3,\",\n \"result = arr1 != arr2 assert result.equals(con([False, True, True, None, None])) result =\",\n \"16]]), (pa.large_list(pa.int16()), [[1], [2, 3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()),\",\n \"assert arr.sum() == None # noqa: E711 assert pa.compute.sum(arr) == None # noqa:\",\n \"False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32', np.arange(5)),\",\n \"'b', 'c'] assert result.type.ordered is ordered @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_filter(ty, values): arr\",\n \"0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False,\",\n \"arr == arr_chunked, arr_chunked == arr, arr_chunked == arr_chunked2, ]: assert result.equals(expected) def\",\n \"4, 2, None]) assert result.equals(expected) for indices_type in [pa.float32(), pa.float64()]: indices = pa.array([0,\",\n \"2, 2]) assert result.equals(expected) def test_arithmetic_multiply(): left = pa.array([1, 2, 3, 4, 5])\",\n \"def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\",\",\n \"False, None], [False, True]]), # mask is python object [True, False, None, False,\",\n \"See the NOTICE file # distributed with this work for additional information #\",\n \"True, True, True, None]]) for result in [ arr == arr_chunked, arr_chunked ==\",\n \"= pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4], type=arrow_type) ]) assert pa.compute.sum(arr) == 10\",\n \"result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty))\",\n \"obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return\",\n \"match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if\",\n \"pa.int64(), pa.uint8(), pa.uint16(), pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr =\",\n \"2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None],\",\n \"= pa.array([0, 1, 0, 1, 0]) with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask\",\n \"the NOTICE file # distributed with this work for additional information # regarding\",\n \"pa.chunked_array([[True, False], [None, False, True]]), # mask is python object [True, False, None,\",\n \"in writing, # software distributed under the License is distributed on an #\",\n \"the Apache Software Foundation (ASF) under one # or more contributor license agreements.\",\n \"4, 2, None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2,\",\n \"License. import numpy as np import pytest import pyarrow as pa import pyarrow.compute\",\n \"type=indices_type) with pytest.raises(NotImplementedError): arr.take(indices) @pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1,\",\n \"result = pa.compute.multiply(left, right) expected = pa.array([0, -2, 3, 8, 15]) assert result.equals(expected)\",\n \"4, None]) arr_chunked = pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2],\",\n \"'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b',\",\n \"['uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']: indices = pa.array([0, 4, 2,\",\n \"with pytest.raises(NotImplementedError): arr.filter(mask) # wrong length mask = pa.array([True, False, True]) with pytest.raises(ValueError,\",\n \"as pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False, True, True]),\",\n \"result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) #\",\n \"= pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]]) for mask in [ # mask is array pa.array([True,\",\n \"None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) expected_drop = pa.chunked_array([[\\\"a\\\"], [\\\"e\\\"]]) expected_null = pa.chunked_array([[\\\"a\\\"], [None, \\\"e\\\"]])\",\n \"pa.array([True, False, None, False, True]), # mask is chunked array pa.chunked_array([[True, False, None],\",\n \"assert result.equals(expected_null) def test_filter_errors(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch =\",\n \"True] ]: result = table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null)\",\n \"None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_drop = pa.table([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a\\\"]) expected_null = pa.table([pa.array([\\\"a\\\",\",\n \"True]) result = batch.filter(mask) expected = pa.record_batch([pa.array([\\\"a\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result =\",\n \"arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\", \\\"e\\\"]]) batch = pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\",\",\n \"= pa.chunked_array([[True, True, True, True, None]]) for result in [ arr == arr_chunked,\",\n \"arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices = pa.array([0, 4,\",\n \"table = pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch,\",\n \"arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum()\",\n \"arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3], None], type=ty)) # non-boolean dtype mask =\",\n \"None, None])) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_scalar(typ): if typ == \\\"array\\\": def con(values):\",\n \"None], type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([0, 4, 2, None]) assert\",\n \"result = arr1 > arr2 assert result.equals(con([False, True, False, None, None])) result =\",\n \"# with the License. You may obtain a copy of the License at\",\n \"@pytest.mark.parametrize('ordered', [False, True]) def test_take_dictionary(ordered): arr = pa.DictionaryArray.from_arrays([0, 1, 2, 0, 1, 2],\",\n \"all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def test_compare_array(typ): if typ\",\n \"assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch = pa.record_batch(\",\n \"governing permissions and limitations # under the License. import numpy as np import\",\n \"None, \\\"e\\\"])], names=[\\\"a\\\"]) for mask in [ # mask is array pa.array([True, False,\",\n \"np.arange(5, 10)), ('int64', np.arange(5, 10)), ('float', np.arange(0, 0.5, 0.1)), ('double', np.arange(0, 0.5, 0.1)),\",\n \"result.equals(con([False, False, True, None, None])) result = arr1 <= arr2 assert result.equals(con([True, False,\",\n \"result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a', 'b', 'a'] assert\",\n \"noqa: E711 @pytest.mark.parametrize(('ty', 'values'), all_array_types) def test_take(ty, values): arr = pa.array(values, type=ty) for\",\n \"test_compare_chunked_array_mixed(): arr = pa.array([1, 2, 3, 4, None]) arr_chunked = pa.chunked_array([[1, 2, 3],\",\n \">= scalar assert result.equals(con([False, True, True, None])) def test_compare_chunked_array_mixed(): arr = pa.array([1, 2,\",\n \"test_filter(ty, values): arr = pa.array(values, type=ty) mask = pa.array([True, False, False, True, None])\",\n \"Apache License, Version 2.0 (the # \\\"License\\\"); you may not use this file\",\n \"be the same length\\\"): arr.filter(mask) def test_filter_chunked_array(): arr = pa.chunked_array([[\\\"a\\\", None], [\\\"c\\\", \\\"d\\\",\",\n \"and limitations # under the License. import numpy as np import pytest import\",\n \"type=arrow_type) assert arr.sum() == 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type)\",\n \"4, 5]) right = pa.array([0, -1, 1, 2, 3]) result = pa.compute.add(left, right)\",\n \"result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected)\",\n \"pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False, None])) result =\",\n \"with pytest.raises(IndexError): arr.take(indices) def test_take_indices_types(): arr = pa.array(range(5)) for indices_type in ['uint8', 'int8',\",\n \"type=arrow_type)]) assert pa.compute.sum(arr) == 10 arr = pa.chunked_array([ pa.array([1, 2], type=arrow_type), pa.array([3, 4],\",\n \"def test_compare_array(typ): if typ == \\\"array\\\": def con(values): return pa.array(values) else: def con(values):\",\n \"under one # or more contributor license agreements. See the NOTICE file #\",\n \"# to you under the Apache License, Version 2.0 (the # \\\"License\\\"); you\",\n \"required by applicable law or agreed to in writing, # software distributed under\",\n \"== ['a', 'b', 'a'] assert result.dictionary.to_pylist() == ['a', 'b', 'c'] assert result.type.ordered is\",\n \"]: result = arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def\",\n \"1, 'b': 2}, None, {'a': 3, 'b': 4}, None, {'a': 5, 'b': 6}]),\",\n \"= pa.array([True, False, True]) with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask)\",\n \"0.5, 0.1)), ('string', ['a', 'b', None, 'ddd', 'ee']), ('binary', [b'a', b'b', b'c', b'ddd',\",\n \"pa.record_batch( [pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a'\\\"]) # mask is array mask =\",\n \"b'ee']), (pa.binary(3), [b'abc', b'bcd', b'cde', b'def', b'efg']), (pa.list_(pa.int8()), [[1, 2], [3, 4], [5,\",\n \"3, 4], [5, 6], None, [9, 16]]), (pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a':\",\n \"pa.uint64(), pa.float32(), pa.float64() ] @pytest.mark.parametrize('arrow_type', numerical_arrow_types) def test_sum_array(arrow_type): arr = pa.array([1, 2, 3,\",\n \"pa.table([pa.array([\\\"a\\\", None, \\\"c\\\", \\\"d\\\", \\\"e\\\"])], names=[\\\"a\\\"]) for obj in [arr, batch, table]: #\",\n \"test_take(ty, values): arr = pa.array(values, type=ty) for indices_type in [pa.int8(), pa.int64()]: indices =\",\n \"= pa.array([2]).sum() result = arr == scalar assert result.equals(con([False, True, False, None])) result\",\n \"by applicable law or agreed to in writing, # software distributed under the\",\n \"test_arithmetic_add(): left = pa.array([1, 2, 3, 4, 5]) right = pa.array([0, -1, 1,\",\n \"for additional information # regarding copyright ownership. The ASF licenses this file #\",\n \"scalar assert result.equals(con([True, False, False, None])) result = arr <= scalar assert result.equals(con([True,\",\n \"type=indices_type) result = arr.take(indices) result.validate() expected = pa.array([values[0], values[4], values[2], None], type=ty) assert\",\n \"with pytest.raises(pa.ArrowInvalid, match=\\\"must all be the same length\\\"): obj.filter(mask) @pytest.mark.parametrize(\\\"typ\\\", [\\\"array\\\", \\\"chunked_array\\\"]) def\",\n \"4, None, 4]) result = arr1 == arr2 assert result.equals(con([True, False, False, None,\",\n \"(pa.struct([('a', pa.int8()), ('b', pa.int8())]), [ {'a': 1, 'b': 2}, None, {'a': 3, 'b':\",\n \"= arr.filter(mask) assert result.equals(expected_drop) result = arr.filter(mask, null_selection_behavior=\\\"emit_null\\\") assert result.equals(expected_null) def test_filter_record_batch(): batch\",\n \"the License for the # specific language governing permissions and limitations # under\",\n \"import pyarrow as pa import pyarrow.compute all_array_types = [ ('bool', [True, False, False,\",\n \"result = pa.compute.add(left, right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected)\",\n \"applicable law or agreed to in writing, # software distributed under the License\",\n \"= pa.chunked_array([[1, 2, 3], [4, None]]) arr_chunked2 = pa.chunked_array([[1, 2], [3, 4, None]])\",\n \"right) expected = pa.array([1, 1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left\",\n \"1, 4, 6, 8]) assert result.equals(expected) def test_arithmetic_subtract(): left = pa.array([1, 2, 3,\",\n \"False, None])) result = arr > scalar assert result.equals(con([False, False, True, None])) result\",\n \"None, None])) result = arr1 != arr2 assert result.equals(con([False, True, True, None, None]))\",\n \"arr < scalar assert result.equals(con([True, False, False, None])) result = arr <= scalar\",\n \"== 10 assert pa.compute.sum(arr) == 10 arr = pa.array([], type=arrow_type) assert arr.sum() ==\",\n \"\\\"e\\\"])], names=[\\\"a'\\\"]) assert result.equals(expected) result = batch.filter(mask, null_selection_behavior=\\\"emit_null\\\") expected = pa.record_batch([pa.array([\\\"a\\\", None, \\\"e\\\"])],\",\n \"'b', 'c'], ordered=ordered) result = arr.take(pa.array([0, 1, 3])) result.validate() assert result.to_pylist() == ['a',\",\n \"result.validate() assert result.equals(pa.array([values[0], values[3]], type=ty)) result = arr.filter(mask, null_selection_behavior='emit_null') result.validate() assert result.equals(pa.array([values[0], values[3],\",\n \"None, False, True]), # mask is chunked array pa.chunked_array([[True, False, None], [False, True]]),\",\n \"assert result.equals(con([True, False, True, None, None])) result = arr1 > arr2 assert result.equals(con([False,\",\n \"False, False, True, True]), ('uint8', np.arange(5)), ('int8', np.arange(5)), ('uint16', np.arange(5)), ('int16', np.arange(5)), ('uint32',\"\n]","isConversational":false}}},{"rowIdx":790,"cells":{"ngram":{"kind":"list like","value":["python 3 compatibility library import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE:","api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self,","is set if ('name' not in params or params['name'] is None): raise ValueError(\"Missing","= locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise","F401 # python 2 and python 3 compatibility library import six from client.api_client","limit_bytes: :param str pretty: :param str previous: :param str since_seconds: :param str since_time:","noqa: E501 # verify the required parameter 'pod_name' is set if ('pod_name' not","if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params:","ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") # noqa: E501 # verify","asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name,","query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa:","params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501","is set if ('pod_name' not in params or params['pod_name'] is None): raise ValueError(\"Missing","from a container # noqa: E501 This method makes a synchronous HTTP request","= {} query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa:","'%s'\" \" to method logs_get\" % key ) params[key] = val del params['kwargs']","required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is","E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, #","default. To make an asynchronous HTTP request, please pass async_req=True >>> thread =","= api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool","and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git",":param str since_seconds: :param str since_time: :param str tail_lines: :param str timestamps: :return:","post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)","(required) :param str pod_name: (required) :param str namespace: (required) :param str cluster: (required)","noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import","Guide for accessing Merlin's model management, deployment, and serving functionalities # noqa: E501","library import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is","None If the method is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only']","method is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if","return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve","parameter `name` when calling `logs_get`\") # noqa: E501 # verify the required parameter","str pod_name: (required) :param str namespace: (required) :param str cluster: (required) :param str","str limit_bytes: :param str pretty: :param str previous: :param str since_seconds: :param str","'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only')",":param str cluster: (required) :param str follow: :param str limit_bytes: :param str pretty:","is None): raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") # noqa:","[] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer']","('pod_name' not in params or params['pod_name'] is None): raise ValueError(\"Missing the required parameter","# noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if","the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace,","= {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa:","an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace,","if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data)","returns the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes',","the required parameter 'namespace' is set if ('namespace' not in params or params['namespace']","api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log","**kwargs): # noqa: E501 \"\"\"Retrieve log from a container # noqa: E501 This","please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result","in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got an unexpected keyword","parameter `namespace` when calling `logs_get`\") # noqa: E501 # verify the required parameter","To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name,","calling `logs_get`\") # noqa: E501 collection_formats = {} path_params = {} query_params =","\"\"\" Merlin API Guide for accessing Merlin's model management, deployment, and serving functionalities","query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa:","calling `logs_get`\") # noqa: E501 # verify the required parameter 'pod_name' is set","params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") #","TypeError( \"Got an unexpected keyword argument '%s'\" \" to method logs_get\" % key","To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name,","__init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def","'cluster' is set if ('cluster' not in params or params['cluster'] is None): raise","accessing Merlin's model management, deployment, and serving functionalities # noqa: E501 OpenAPI spec","str pretty: :param str previous: :param str since_seconds: :param str since_time: :param str","manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None: api_client =","**kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs):","in params or params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace` when","cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a container # noqa: E501","verify the required parameter 'cluster' is set if ('cluster' not in params or","None): raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") # noqa: E501","# verify the required parameter 'name' is set if ('name' not in params","required parameter `name` when calling `logs_get`\") # noqa: E501 # verify the required","\"\"\"NOTE: This class is auto generated by the swagger code generator program. Do","api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param","['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] #","E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in","the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None:","query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa:","make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name,","if ('name' not in params or params['name'] is None): raise ValueError(\"Missing the required","the required parameter `name` when calling `logs_get`\") # noqa: E501 # verify the","noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace'","raise TypeError( \"Got an unexpected keyword argument '%s'\" \" to method logs_get\" %","pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace,","'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous',","logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a",":param str previous: :param str since_seconds: :param str since_time: :param str tail_lines: :param","request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster,","E501 collection_formats = {} path_params = {} query_params = [] if 'name' in","= [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name'","calling `logs_get`\") # noqa: E501 # verify the required parameter 'cluster' is set","= {} path_params = {} query_params = [] if 'name' in params: query_params.append(('name',","params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params:","self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name,","# noqa: F401 # python 2 and python 3 compatibility library import six","('name' not in params or params['name'] is None): raise ValueError(\"Missing the required parameter","\"\"\" from __future__ import absolute_import import re # noqa: F401 # python 2",":param async_req bool :param str name: (required) :param str pod_name: (required) :param str","required parameter 'cluster' is set if ('cluster' not in params or params['cluster'] is","# noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params","the method is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True","required parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats = {} path_params","['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params,","from __future__ import absolute_import import re # noqa: F401 # python 2 and","`logs_get`\") # noqa: E501 # verify the required parameter 'namespace' is set if","'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params =","# verify the required parameter 'cluster' is set if ('cluster' not in params","header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True),","= thread.get() :param async_req bool :param str name: (required) :param str pod_name: (required)","kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) =","query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa:","def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client","setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params,","parameter `pod_name` when calling `logs_get`\") # noqa: E501 # verify the required parameter","'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes',","3 compatibility library import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This","calling `logs_get`\") # noqa: E501 # verify the required parameter 'namespace' is set","management, deployment, and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated","params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params = [] local_var_files","unexpected keyword argument '%s'\" \" to method logs_get\" % key ) params[key] =","edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is","query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa:","# noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if",":param str limit_bytes: :param str pretty: :param str previous: :param str since_seconds: :param","# noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if","is None): raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") # noqa:","if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params:","when calling `logs_get`\") # noqa: E501 # verify the required parameter 'cluster' is",">>> result = thread.get() :param async_req bool :param str name: (required) :param str","This method makes a synchronous HTTP request by default. To make an asynchronous","if key not in all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\"","'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps',","params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") #","form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings","params['name'] is None): raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\") #","for accessing Merlin's model management, deployment, and serving functionalities # noqa: E501 OpenAPI","is None): raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\") # noqa:","params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) #","\"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #","is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'):","0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re # noqa:","LogApi(object): \"\"\"NOTE: This class is auto generated by the swagger code generator program.","query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa:","params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) #","# noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if","params['timestamps'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {}","E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return","in all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\" \" to method","'name' is set if ('name' not in params or params['name'] is None): raise","query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa:","query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if","verify the required parameter 'namespace' is set if ('namespace' not in params or","E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in",">>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param","log from a container # noqa: E501 This method makes a synchronous HTTP","def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from","or params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\")",">>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param","bool :param str name: (required) :param str pod_name: (required) :param str namespace: (required)","async_req=True) >>> result = thread.get() :param async_req bool :param str name: (required) :param","required parameter 'name' is set if ('name' not in params or params['name'] is","# noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if","utf-8 \"\"\" Merlin API Guide for accessing Merlin's model management, deployment, and serving","str tail_lines: :param str timestamps: :return: None If the method is called asynchronously,","= val del params['kwargs'] # verify the required parameter 'name' is set if","thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)","since_time: :param str tail_lines: :param str timestamps: :return: None If the method is","= ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params,","# coding: utf-8 \"\"\" Merlin API Guide for accessing Merlin's model management, deployment,",":param str pod_name: (required) :param str namespace: (required) :param str cluster: (required) :param","params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501","noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa:","not in params or params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace`","params['kwargs'] # verify the required parameter 'name' is set if ('name' not in","str timestamps: :return: None If the method is called asynchronously, returns the request","'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster',","HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True)","params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501","# noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__","the required parameter `namespace` when calling `logs_get`\") # noqa: E501 # verify the","absolute_import import re # noqa: F401 # python 2 and python 3 compatibility","# noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if","`name` when calling `logs_get`\") # noqa: E501 # verify the required parameter 'pod_name'","'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req')","# Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET',","or params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\")","https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client","namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a container # noqa:","E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {}","pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result =",":param str follow: :param str limit_bytes: :param str pretty: :param str previous: :param","'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params =",") params[key] = val del params['kwargs'] # verify the required parameter 'name' is","parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None):","the required parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats = {}","noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster'","the required parameter 'name' is set if ('name' not in params or params['name']","**kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #","collection_formats = {} path_params = {} query_params = [] if 'name' in params:","\"Got an unexpected keyword argument '%s'\" \" to method logs_get\" % key )","val del params['kwargs'] # verify the required parameter 'name' is set if ('name'","name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a container","set if ('namespace' not in params or params['namespace'] is None): raise ValueError(\"Missing the","params or params['name'] is None): raise ValueError(\"Missing the required parameter `name` when calling","ValueError(\"Missing the required parameter `name` when calling `logs_get`\") # noqa: E501 # verify","class LogApi(object): \"\"\"NOTE: This class is auto generated by the swagger code generator","str previous: :param str since_seconds: :param str since_time: :param str tail_lines: :param str","if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params:","the method is called asynchronously, returns the request thread. \"\"\" all_params = ['name',","E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']):","program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None):","True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else:","data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log","query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa:","E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in","a synchronous HTTP request by default. To make an asynchronous HTTP request, please","is set if ('namespace' not in params or params['namespace'] is None): raise ValueError(\"Missing","'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty',","timestamps: :return: None If the method is called asynchronously, returns the request thread.","all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if","in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow']))","params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) #","if ('cluster' not in params or params['cluster'] is None): raise ValueError(\"Missing the required","noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds'","# noqa: E501 # verify the required parameter 'cluster' is set if ('cluster'","[] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in","'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds',","params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) #","six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated","a container # noqa: E501 This method makes a synchronous HTTP request by","by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread","('namespace' not in params or params['namespace'] is None): raise ValueError(\"Missing the required parameter","{} path_params = {} query_params = [] if 'name' in params: query_params.append(('name', params['name']))","params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) #","params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) #","body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'),","# noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:","noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time'","ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats =","model management, deployment, and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0","= {} form_params = [] local_var_files = {} body_params = None # Authentication","set if ('pod_name' not in params or params['pod_name'] is None): raise ValueError(\"Missing the","'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content')","`namespace` when calling `logs_get`\") # noqa: E501 # verify the required parameter 'cluster'","method is called asynchronously, returns the request thread. \"\"\" all_params = ['name', 'pod_name',","noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None,","async_req bool :param str name: (required) :param str pod_name: (required) :param str namespace:","(data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def","when calling `logs_get`\") # noqa: E501 collection_formats = {} path_params = {} query_params","noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in","body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return","the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen","% key ) params[key] = val del params['kwargs'] # verify the required parameter","Merlin's model management, deployment, and serving functionalities # noqa: E501 OpenAPI spec version:","tail_lines: :param str timestamps: :return: None If the method is called asynchronously, returns","noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501","E501 # verify the required parameter 'pod_name' is set if ('pod_name' not in","E501 This method makes a synchronous HTTP request by default. To make an","'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for","path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'),","the required parameter `pod_name` when calling `logs_get`\") # noqa: E501 # verify the","raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") # noqa: E501 #","swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\"","'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key,","by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re # noqa: F401 #","\"\"\" def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client =","required parameter `pod_name` when calling `logs_get`\") # noqa: E501 # verify the required","= [] local_var_files = {} body_params = None # Authentication setting auth_settings =","makes a synchronous HTTP request by default. To make an asynchronous HTTP request,","None If the method is called asynchronously, returns the request thread. \"\"\" all_params","params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) #","auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params,","by the swagger code generator program. Do not edit the class manually. Ref:","# noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): #","logs_get\" % key ) params[key] = val del params['kwargs'] # verify the required","previous: :param str since_seconds: :param str since_time: :param str tail_lines: :param str timestamps:","parameter 'cluster' is set if ('cluster' not in params or params['cluster'] is None):","the required parameter 'pod_name' is set if ('pod_name' not in params or params['pod_name']","query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa:","# verify the required parameter 'pod_name' is set if ('pod_name' not in params","`logs_get`\") # noqa: E501 # verify the required parameter 'cluster' is set if","str since_seconds: :param str since_time: :param str tail_lines: :param str timestamps: :return: None","'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow',","# noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files,","'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params","E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import","generated by the swagger code generator program. Do not edit the class manually.","noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow'","del params['kwargs'] # verify the required parameter 'name' is set if ('name' not","params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501","None): raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\") # noqa: E501","params or params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace` when calling","if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params:","in params or params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name` when","(required) :param str follow: :param str limit_bytes: :param str pretty: :param str previous:","pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a container #","set if ('cluster' not in params or params['cluster'] is None): raise ValueError(\"Missing the","E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in","self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501","path_params = {} query_params = [] if 'name' in params: query_params.append(('name', params['name'])) #","asynchronously, returns the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow',",":return: None If the method is called asynchronously, returns the request thread. \"\"\"","raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") # noqa: E501 #","called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return","cluster, async_req=True) >>> result = thread.get() :param async_req bool :param str name: (required)","in params or params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster` when","is None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace,","an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace,",":param str name: (required) :param str pod_name: (required) :param str namespace: (required) :param","all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not","request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous',","# noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if","= ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps']","argument '%s'\" \" to method logs_get\" % key ) params[key] = val del","ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") # noqa: E501 # verify","# noqa: E501 # verify the required parameter 'namespace' is set if ('namespace'","not in params or params['name'] is None): raise ValueError(\"Missing the required parameter `name`","from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated by","str cluster: (required) :param str follow: :param str limit_bytes: :param str pretty: :param","__future__ import absolute_import import re # noqa: F401 # python 2 and python","params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) #",":param str namespace: (required) :param str cluster: (required) :param str follow: :param str","parameter 'pod_name' is set if ('pod_name' not in params or params['pod_name'] is None):","in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params = []","class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None: api_client","params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) #",":param str since_time: :param str tail_lines: :param str timestamps: :return: None If the","`cluster` when calling `logs_get`\") # noqa: E501 collection_formats = {} path_params = {}","noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params =","'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise","'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'),","This class is auto generated by the swagger code generator program. Do not","= True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501","if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params:","'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout')","pretty: :param str previous: :param str since_seconds: :param str since_time: :param str tail_lines:","# python 2 and python 3 compatibility library import six from client.api_client import","ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa:","noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines'","= None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api(","class is auto generated by the swagger code generator program. Do not edit","noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous'","'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501","\"\"\"Retrieve log from a container # noqa: E501 This method makes a synchronous","str namespace: (required) :param str cluster: (required) :param str follow: :param str limit_bytes:","in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster']))","'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa:","params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501","= self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self,","pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result =","\"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time',","OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import","(required) :param str namespace: (required) :param str cluster: (required) :param str follow: :param","follow: :param str limit_bytes: :param str pretty: :param str previous: :param str since_seconds:","params[key] = val del params['kwargs'] # verify the required parameter 'name' is set","result = thread.get() :param async_req bool :param str name: (required) :param str pod_name:","params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501","E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in","thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds',","returns the request thread. \"\"\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name,","asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster,","in params or params['name'] is None): raise ValueError(\"Missing the required parameter `name` when","in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines']))","deployment, and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by:","# noqa: E501 collection_formats = {} path_params = {} query_params = [] if","python 2 and python 3 compatibility library import six from client.api_client import ApiClient","('cluster' not in params or params['cluster'] is None): raise ValueError(\"Missing the required parameter","method logs_get\" % key ) params[key] = val del params['kwargs'] # verify the","Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params,","serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\"","'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines',",":param str tail_lines: :param str timestamps: :return: None If the method is called","in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds']))","\" to method logs_get\" % key ) params[key] = val del params['kwargs'] #","'pod_name' is set if ('pod_name' not in params or params['pod_name'] is None): raise","If the method is called asynchronously, returns the request thread. \"\"\" kwargs['_return_http_data_only'] =","noqa: E501 This method makes a synchronous HTTP request by default. To make","local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] #","noqa: E501 \"\"\"Retrieve log from a container # noqa: E501 This method makes","parameter 'name' is set if ('name' not in params or params['name'] is None):","thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req","'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals()","# verify the required parameter 'namespace' is set if ('namespace' not in params","request by default. To make an asynchronous HTTP request, please pass async_req=True >>>","not in all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\" \" to","params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501","raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats","make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name,","noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps'","re # noqa: F401 # python 2 and python 3 compatibility library import","not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client","keyword argument '%s'\" \" to method logs_get\" % key ) params[key] = val","if ('pod_name' not in params or params['pod_name'] is None): raise ValueError(\"Missing the required","in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name']))","import re # noqa: F401 # python 2 and python 3 compatibility library","called asynchronously, returns the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster',","params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster` when calling `logs_get`\") #","E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in","E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in","= api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool","all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines',","request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>>","verify the required parameter 'pod_name' is set if ('pod_name' not in params or","params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) #","'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name',","code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def","client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated by the","kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:","functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from","None): raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") # noqa: E501","# noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if","API Guide for accessing Merlin's model management, deployment, and serving functionalities # noqa:","since_seconds: :param str since_time: :param str tail_lines: :param str timestamps: :return: None If","raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\") # noqa: E501 #","E501 header_params = {} form_params = [] local_var_files = {} body_params = None","request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>>","E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501","verify the required parameter 'name' is set if ('name' not in params or","not in params or params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name`","params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501","str since_time: :param str tail_lines: :param str timestamps: :return: None If the method","self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name,","# noqa: E501 \"\"\"Retrieve log from a container # noqa: E501 This method","in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time']))","HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True","E501 # verify the required parameter 'cluster' is set if ('cluster' not in","E501 # verify the required parameter 'namespace' is set if ('namespace' not in","import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated by the swagger","E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in","coding: utf-8 \"\"\" Merlin API Guide for accessing Merlin's model management, deployment, and","version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re #","key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got an","all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\" \" to method logs_get\"","cluster: (required) :param str follow: :param str limit_bytes: :param str pretty: :param str","import absolute_import import re # noqa: F401 # python 2 and python 3","synchronous HTTP request by default. To make an asynchronous HTTP request, please pass","(required) :param str cluster: (required) :param str follow: :param str limit_bytes: :param str","set if ('name' not in params or params['name'] is None): raise ValueError(\"Missing the","if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params:","= api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve","container # noqa: E501 This method makes a synchronous HTTP request by default.","namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster,","query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa:","params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501","`logs_get`\") # noqa: E501 collection_formats = {} path_params = {} query_params = []","to method logs_get\" % key ) params[key] = val del params['kwargs'] # verify","if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params","E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in","def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from","2 and python 3 compatibility library import six from client.api_client import ApiClient class","api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name,","query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content',","the required parameter 'cluster' is set if ('cluster' not in params or params['cluster']","# noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if","Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if api_client is None: api_client = ApiClient()","generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self,","HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True)","if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params:","# noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val","parameter `cluster` when calling `logs_get`\") # noqa: E501 collection_formats = {} path_params =","is set if ('cluster' not in params or params['cluster'] is None): raise ValueError(\"Missing","or params['namespace'] is None): raise ValueError(\"Missing the required parameter `namespace` when calling `logs_get`\")","E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in","noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not","and python 3 compatibility library import six from client.api_client import ApiClient class LogApi(object):","all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key","params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501","key ) params[key] = val del params['kwargs'] # verify the required parameter 'name'","pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param str","namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace,","namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param str name:","if api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name,","noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes'","if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params:","None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster,","async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()","None): raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\") # noqa: E501","Merlin API Guide for accessing Merlin's model management, deployment, and serving functionalities #","params or params['pod_name'] is None): raise ValueError(\"Missing the required parameter `pod_name` when calling","# noqa: E501 # verify the required parameter 'pod_name' is set if ('pod_name'","if ('namespace' not in params or params['namespace'] is None): raise ValueError(\"Missing the required","please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result","{} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501","cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)","name: (required) :param str pod_name: (required) :param str namespace: (required) :param str cluster:","in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty']))","in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps']))",":param str pretty: :param str previous: :param str since_seconds: :param str since_time: :param","str follow: :param str limit_bytes: :param str pretty: :param str previous: :param str","method makes a synchronous HTTP request by default. To make an asynchronous HTTP","return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name,","header_params = {} form_params = [] local_var_files = {} body_params = None #","# noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params","is auto generated by the swagger code generator program. Do not edit the","asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster,","pod_name: (required) :param str namespace: (required) :param str cluster: (required) :param str follow:","cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster,","return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa:","else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data","str name: (required) :param str pod_name: (required) :param str namespace: (required) :param str","if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params:","query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params = [] local_var_files =","params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) #","the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty',","compatibility library import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class","Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \"\"\" def __init__(self, api_client=None): if","if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params:","val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got an unexpected","in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous']))","# noqa: E501 This method makes a synchronous HTTP request by default. To","async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()","`logs_get`\") # noqa: E501 # verify the required parameter 'pod_name' is set if","is None): raise ValueError(\"Missing the required parameter `pod_name` when calling `logs_get`\") # noqa:","params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501","if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params:","None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs',","'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace',","api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param","auto generated by the swagger code generator program. Do not edit the class",":param str timestamps: :return: None If the method is called asynchronously, returns the","'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time',","required parameter `namespace` when calling `logs_get`\") # noqa: E501 # verify the required","thread.get() :param async_req bool :param str name: (required) :param str pod_name: (required) :param","params or params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster` when calling","noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty'","self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501","when calling `logs_get`\") # noqa: E501 # verify the required parameter 'pod_name' is","not in params or params['cluster'] is None): raise ValueError(\"Missing the required parameter `cluster`","query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa:","spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re","locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError(","an unexpected keyword argument '%s'\" \" to method logs_get\" % key ) params[key]","Generated by: https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re # noqa: F401","in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes']))","noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params =","{} form_params = [] local_var_files = {} body_params = None # Authentication setting","noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'name'","'/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings,","key not in all_params: raise TypeError( \"Got an unexpected keyword argument '%s'\" \"","for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got","ApiClient class LogApi(object): \"\"\"NOTE: This class is auto generated by the swagger code","import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE: This class is auto","E501 \"\"\"Retrieve log from a container # noqa: E501 This method makes a","namespace: (required) :param str cluster: (required) :param str follow: :param str limit_bytes: :param","noqa: E501 # verify the required parameter 'cluster' is set if ('cluster' not","If the method is called asynchronously, returns the request thread. \"\"\" all_params =","when calling `logs_get`\") # noqa: E501 # verify the required parameter 'namespace' is","= ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): #","# noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if","logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \"\"\"Retrieve log from a","{} query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501","is called asynchronously, returns the request thread. \"\"\" all_params = ['name', 'pod_name', 'namespace',","`pod_name` when calling `logs_get`\") # noqa: E501 # verify the required parameter 'namespace'","pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name,","or params['name'] is None): raise ValueError(\"Missing the required parameter `name` when calling `logs_get`\")","six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \"Got an unexpected keyword argument","required parameter 'pod_name' is set if ('pod_name' not in params or params['pod_name'] is","all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in","thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req","api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs):","noqa: F401 # python 2 and python 3 compatibility library import six from","https://github.com/swagger-api/swagger-codegen.git \"\"\" from __future__ import absolute_import import re # noqa: F401 # python","in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace']))"],"string":"[\n \"python 3 compatibility library import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE:\",\n \"api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self,\",\n \"is set if ('name' not in params or params['name'] is None): raise ValueError(\\\"Missing\",\n \"= locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise\",\n \"F401 # python 2 and python 3 compatibility library import six from client.api_client\",\n \"limit_bytes: :param str pretty: :param str previous: :param str since_seconds: :param str since_time:\",\n \"noqa: E501 # verify the required parameter 'pod_name' is set if ('pod_name' not\",\n \"if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params:\",\n \"ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") # noqa: E501 # verify\",\n \"asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name,\",\n \"query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa:\",\n \"params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501\",\n \"is set if ('pod_name' not in params or params['pod_name'] is None): raise ValueError(\\\"Missing\",\n \"from a container # noqa: E501 This method makes a synchronous HTTP request\",\n \"= {} query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa:\",\n \"'%s'\\\" \\\" to method logs_get\\\" % key ) params[key] = val del params['kwargs']\",\n \"required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is\",\n \"E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, #\",\n \"default. To make an asynchronous HTTP request, please pass async_req=True >>> thread =\",\n \"= api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool\",\n \"and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git\",\n \":param str since_seconds: :param str since_time: :param str tail_lines: :param str timestamps: :return:\",\n \"post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)\",\n \"(required) :param str pod_name: (required) :param str namespace: (required) :param str cluster: (required)\",\n \"noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import\",\n \"Guide for accessing Merlin's model management, deployment, and serving functionalities # noqa: E501\",\n \"library import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is\",\n \"None If the method is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only']\",\n \"method is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if\",\n \"return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve\",\n \"parameter `name` when calling `logs_get`\\\") # noqa: E501 # verify the required parameter\",\n \"str pod_name: (required) :param str namespace: (required) :param str cluster: (required) :param str\",\n \"str limit_bytes: :param str pretty: :param str previous: :param str since_seconds: :param str\",\n \"'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only')\",\n \":param str cluster: (required) :param str follow: :param str limit_bytes: :param str pretty:\",\n \"is None): raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") # noqa:\",\n \"[] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer']\",\n \"('pod_name' not in params or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"# noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if\",\n \"the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace,\",\n \"= {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa:\",\n \"an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace,\",\n \"if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data)\",\n \"returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes',\",\n \"the required parameter 'namespace' is set if ('namespace' not in params or params['namespace']\",\n \"api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log\",\n \"**kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501 This\",\n \"please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result\",\n \"in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got an unexpected keyword\",\n \"parameter `namespace` when calling `logs_get`\\\") # noqa: E501 # verify the required parameter\",\n \"To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name,\",\n \"calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params = {} query_params =\",\n \"\\\"\\\"\\\" Merlin API Guide for accessing Merlin's model management, deployment, and serving functionalities\",\n \"query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa:\",\n \"calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'pod_name' is set\",\n \"params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") #\",\n \"TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" % key\",\n \"To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name,\",\n \"__init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def\",\n \"'cluster' is set if ('cluster' not in params or params['cluster'] is None): raise\",\n \"accessing Merlin's model management, deployment, and serving functionalities # noqa: E501 OpenAPI spec\",\n \"str pretty: :param str previous: :param str since_seconds: :param str since_time: :param str\",\n \"manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client =\",\n \"**kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs):\",\n \"in params or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace` when\",\n \"cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501\",\n \"verify the required parameter 'cluster' is set if ('cluster' not in params or\",\n \"None): raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") # noqa: E501\",\n \"# verify the required parameter 'name' is set if ('name' not in params\",\n \"required parameter `name` when calling `logs_get`\\\") # noqa: E501 # verify the required\",\n \"\\\"\\\"\\\"NOTE: This class is auto generated by the swagger code generator program. Do\",\n \"api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param\",\n \"['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] #\",\n \"E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in\",\n \"the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None:\",\n \"query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa:\",\n \"make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name,\",\n \"if ('name' not in params or params['name'] is None): raise ValueError(\\\"Missing the required\",\n \"the required parameter `name` when calling `logs_get`\\\") # noqa: E501 # verify the\",\n \"noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace'\",\n \"raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" %\",\n \"pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace,\",\n \"'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous',\",\n \"logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a\",\n \":param str previous: :param str since_seconds: :param str since_time: :param str tail_lines: :param\",\n \"request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster,\",\n \"E501 collection_formats = {} path_params = {} query_params = [] if 'name' in\",\n \"= [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name'\",\n \"calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'cluster' is set\",\n \"= {} path_params = {} query_params = [] if 'name' in params: query_params.append(('name',\",\n \"params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params:\",\n \"self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name,\",\n \"# noqa: F401 # python 2 and python 3 compatibility library import six\",\n \"('name' not in params or params['name'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"\\\"\\\"\\\" from __future__ import absolute_import import re # noqa: F401 # python 2\",\n \":param async_req bool :param str name: (required) :param str pod_name: (required) :param str\",\n \"required parameter 'cluster' is set if ('cluster' not in params or params['cluster'] is\",\n \"# noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params\",\n \"the method is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True\",\n \"required parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params\",\n \"['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params,\",\n \"from __future__ import absolute_import import re # noqa: F401 # python 2 and\",\n \"`logs_get`\\\") # noqa: E501 # verify the required parameter 'namespace' is set if\",\n \"'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params =\",\n \"# verify the required parameter 'cluster' is set if ('cluster' not in params\",\n \"header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True),\",\n \"= thread.get() :param async_req bool :param str name: (required) :param str pod_name: (required)\",\n \"kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) =\",\n \"query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa:\",\n \"def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client\",\n \"setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params,\",\n \"parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 # verify the required parameter\",\n \"'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes',\",\n \"3 compatibility library import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This\",\n \"calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'namespace' is set\",\n \"management, deployment, and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated\",\n \"params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params = [] local_var_files\",\n \"unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" % key ) params[key] =\",\n \"edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is\",\n \"query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa:\",\n \"# noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if\",\n \":param str limit_bytes: :param str pretty: :param str previous: :param str since_seconds: :param\",\n \"# noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if\",\n \"is None): raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") # noqa:\",\n \"if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params:\",\n \"when calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'cluster' is\",\n \">>> result = thread.get() :param async_req bool :param str name: (required) :param str\",\n \"This method makes a synchronous HTTP request by default. To make an asynchronous\",\n \"if key not in all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\"\",\n \"'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps',\",\n \"params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") #\",\n \"form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings\",\n \"params['name'] is None): raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") #\",\n \"for accessing Merlin's model management, deployment, and serving functionalities # noqa: E501 OpenAPI\",\n \"is None): raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") # noqa:\",\n \"params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) #\",\n \"\\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #\",\n \"is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'):\",\n \"0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re # noqa:\",\n \"LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the swagger code generator program.\",\n \"query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa:\",\n \"params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) #\",\n \"# noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if\",\n \"params['timestamps'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {}\",\n \"E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return\",\n \"in all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to method\",\n \"'name' is set if ('name' not in params or params['name'] is None): raise\",\n \"query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa:\",\n \"query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if\",\n \"verify the required parameter 'namespace' is set if ('namespace' not in params or\",\n \"E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in\",\n \">>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param\",\n \"log from a container # noqa: E501 This method makes a synchronous HTTP\",\n \"def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from\",\n \"or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\")\",\n \">>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param\",\n \"bool :param str name: (required) :param str pod_name: (required) :param str namespace: (required)\",\n \"async_req=True) >>> result = thread.get() :param async_req bool :param str name: (required) :param\",\n \"required parameter 'name' is set if ('name' not in params or params['name'] is\",\n \"# noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if\",\n \"utf-8 \\\"\\\"\\\" Merlin API Guide for accessing Merlin's model management, deployment, and serving\",\n \"str tail_lines: :param str timestamps: :return: None If the method is called asynchronously,\",\n \"= val del params['kwargs'] # verify the required parameter 'name' is set if\",\n \"thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)\",\n \"since_time: :param str tail_lines: :param str timestamps: :return: None If the method is\",\n \"= ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params,\",\n \"# coding: utf-8 \\\"\\\"\\\" Merlin API Guide for accessing Merlin's model management, deployment,\",\n \":param str pod_name: (required) :param str namespace: (required) :param str cluster: (required) :param\",\n \"params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501\",\n \"noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa:\",\n \"not in params or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace`\",\n \"params['kwargs'] # verify the required parameter 'name' is set if ('name' not in\",\n \"str timestamps: :return: None If the method is called asynchronously, returns the request\",\n \"'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster',\",\n \"HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True)\",\n \"params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501\",\n \"# noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__\",\n \"the required parameter `namespace` when calling `logs_get`\\\") # noqa: E501 # verify the\",\n \"absolute_import import re # noqa: F401 # python 2 and python 3 compatibility\",\n \"# noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if\",\n \"`name` when calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'pod_name'\",\n \"'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req')\",\n \"# Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET',\",\n \"or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\")\",\n \"https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client\",\n \"namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa:\",\n \"E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {}\",\n \"pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result =\",\n \":param str follow: :param str limit_bytes: :param str pretty: :param str previous: :param\",\n \"'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params =\",\n \") params[key] = val del params['kwargs'] # verify the required parameter 'name' is\",\n \"parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None):\",\n \"the required parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats = {}\",\n \"noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster'\",\n \"the required parameter 'name' is set if ('name' not in params or params['name']\",\n \"**kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) #\",\n \"collection_formats = {} path_params = {} query_params = [] if 'name' in params:\",\n \"\\\"Got an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" % key )\",\n \"val del params['kwargs'] # verify the required parameter 'name' is set if ('name'\",\n \"name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container\",\n \"set if ('namespace' not in params or params['namespace'] is None): raise ValueError(\\\"Missing the\",\n \"params or params['name'] is None): raise ValueError(\\\"Missing the required parameter `name` when calling\",\n \"ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") # noqa: E501 # verify\",\n \"class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the swagger code generator\",\n \"str previous: :param str since_seconds: :param str since_time: :param str tail_lines: :param str\",\n \"if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params:\",\n \"the method is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name',\",\n \"E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']):\",\n \"program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None):\",\n \"True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else:\",\n \"data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log\",\n \"query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa:\",\n \"E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in\",\n \"a synchronous HTTP request by default. To make an asynchronous HTTP request, please\",\n \"is set if ('namespace' not in params or params['namespace'] is None): raise ValueError(\\\"Missing\",\n \"'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty',\",\n \"timestamps: :return: None If the method is called asynchronously, returns the request thread.\",\n \"all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if\",\n \"in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow']))\",\n \"params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) #\",\n \"if ('cluster' not in params or params['cluster'] is None): raise ValueError(\\\"Missing the required\",\n \"noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds'\",\n \"# noqa: E501 # verify the required parameter 'cluster' is set if ('cluster'\",\n \"[] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in\",\n \"'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds',\",\n \"params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) #\",\n \"six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated\",\n \"a container # noqa: E501 This method makes a synchronous HTTP request by\",\n \"by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread\",\n \"('namespace' not in params or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"{} path_params = {} query_params = [] if 'name' in params: query_params.append(('name', params['name']))\",\n \"params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) #\",\n \"params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) #\",\n \"body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'),\",\n \"# noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:\",\n \"noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time'\",\n \"ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats =\",\n \"model management, deployment, and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0\",\n \"= {} form_params = [] local_var_files = {} body_params = None # Authentication\",\n \"set if ('pod_name' not in params or params['pod_name'] is None): raise ValueError(\\\"Missing the\",\n \"'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content')\",\n \"`namespace` when calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'cluster'\",\n \"method is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name',\",\n \"noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None,\",\n \"async_req bool :param str name: (required) :param str pod_name: (required) :param str namespace:\",\n \"(data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def\",\n \"when calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params = {} query_params\",\n \"noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in\",\n \"body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return\",\n \"the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen\",\n \"% key ) params[key] = val del params['kwargs'] # verify the required parameter\",\n \"Merlin's model management, deployment, and serving functionalities # noqa: E501 OpenAPI spec version:\",\n \"tail_lines: :param str timestamps: :return: None If the method is called asynchronously, returns\",\n \"noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501\",\n \"E501 # verify the required parameter 'pod_name' is set if ('pod_name' not in\",\n \"E501 This method makes a synchronous HTTP request by default. To make an\",\n \"'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for\",\n \"path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'),\",\n \"the required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 # verify the\",\n \"raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") # noqa: E501 #\",\n \"swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\"\",\n \"'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key,\",\n \"by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re # noqa: F401 #\",\n \"\\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client =\",\n \"required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 # verify the required\",\n \"= [] local_var_files = {} body_params = None # Authentication setting auth_settings =\",\n \"makes a synchronous HTTP request by default. To make an asynchronous HTTP request,\",\n \"None If the method is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params\",\n \"params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) #\",\n \"auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params,\",\n \"by the swagger code generator program. Do not edit the class manually. Ref:\",\n \"# noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): #\",\n \"logs_get\\\" % key ) params[key] = val del params['kwargs'] # verify the required\",\n \"previous: :param str since_seconds: :param str since_time: :param str tail_lines: :param str timestamps:\",\n \"parameter 'cluster' is set if ('cluster' not in params or params['cluster'] is None):\",\n \"the required parameter 'pod_name' is set if ('pod_name' not in params or params['pod_name']\",\n \"query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa:\",\n \"# verify the required parameter 'pod_name' is set if ('pod_name' not in params\",\n \"`logs_get`\\\") # noqa: E501 # verify the required parameter 'cluster' is set if\",\n \"str since_seconds: :param str since_time: :param str tail_lines: :param str timestamps: :return: None\",\n \"'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow',\",\n \"# noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files,\",\n \"'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params\",\n \"E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import\",\n \"generated by the swagger code generator program. Do not edit the class manually.\",\n \"noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow'\",\n \"del params['kwargs'] # verify the required parameter 'name' is set if ('name' not\",\n \"params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501\",\n \"None): raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\") # noqa: E501\",\n \"params or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace` when calling\",\n \"if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params:\",\n \"in params or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name` when\",\n \"(required) :param str follow: :param str limit_bytes: :param str pretty: :param str previous:\",\n \"pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a container #\",\n \"set if ('cluster' not in params or params['cluster'] is None): raise ValueError(\\\"Missing the\",\n \"E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in\",\n \"self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501\",\n \"path_params = {} query_params = [] if 'name' in params: query_params.append(('name', params['name'])) #\",\n \"asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow',\",\n \":return: None If the method is called asynchronously, returns the request thread. \\\"\\\"\\\"\",\n \"raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 #\",\n \"called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return\",\n \"cluster, async_req=True) >>> result = thread.get() :param async_req bool :param str name: (required)\",\n \"in params or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster` when\",\n \"is None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace,\",\n \"an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace,\",\n \":param str name: (required) :param str pod_name: (required) :param str namespace: (required) :param\",\n \"all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not\",\n \"request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous',\",\n \"# noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if\",\n \"= ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps']\",\n \"argument '%s'\\\" \\\" to method logs_get\\\" % key ) params[key] = val del\",\n \"ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501 # verify\",\n \"# noqa: E501 # verify the required parameter 'namespace' is set if ('namespace'\",\n \"not in params or params['name'] is None): raise ValueError(\\\"Missing the required parameter `name`\",\n \"from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by\",\n \"str cluster: (required) :param str follow: :param str limit_bytes: :param str pretty: :param\",\n \"__future__ import absolute_import import re # noqa: F401 # python 2 and python\",\n \"params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) #\",\n \":param str namespace: (required) :param str cluster: (required) :param str follow: :param str\",\n \"parameter 'pod_name' is set if ('pod_name' not in params or params['pod_name'] is None):\",\n \"in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params = []\",\n \"class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client\",\n \"params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace'])) #\",\n \":param str since_time: :param str tail_lines: :param str timestamps: :return: None If the\",\n \"`cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params = {}\",\n \"noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params =\",\n \"'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise\",\n \"'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'),\",\n \"This class is auto generated by the swagger code generator program. Do not\",\n \"= True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501\",\n \"if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params:\",\n \"'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout')\",\n \"pretty: :param str previous: :param str since_seconds: :param str since_time: :param str tail_lines:\",\n \"# python 2 and python 3 compatibility library import six from client.api_client import\",\n \"ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa:\",\n \"noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines'\",\n \"= None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api(\",\n \"class is auto generated by the swagger code generator program. Do not edit\",\n \"noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous'\",\n \"'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa: E501\",\n \"\\\"\\\"\\\"Retrieve log from a container # noqa: E501 This method makes a synchronous\",\n \"str namespace: (required) :param str cluster: (required) :param str follow: :param str limit_bytes:\",\n \"in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params: query_params.append(('cluster', params['cluster']))\",\n \"'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps'] # noqa:\",\n \"params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501\",\n \"= self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self,\",\n \"pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result =\",\n \"\\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time',\",\n \"OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import\",\n \"(required) :param str namespace: (required) :param str cluster: (required) :param str follow: :param\",\n \"follow: :param str limit_bytes: :param str pretty: :param str previous: :param str since_seconds:\",\n \"params[key] = val del params['kwargs'] # verify the required parameter 'name' is set\",\n \"result = thread.get() :param async_req bool :param str name: (required) :param str pod_name:\",\n \"params['cluster'])) # noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501\",\n \"E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in\",\n \"thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds',\",\n \"returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name,\",\n \"asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster,\",\n \"in params or params['name'] is None): raise ValueError(\\\"Missing the required parameter `name` when\",\n \"in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines']))\",\n \"deployment, and serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by:\",\n \"# noqa: E501 collection_formats = {} path_params = {} query_params = [] if\",\n \"python 2 and python 3 compatibility library import six from client.api_client import ApiClient\",\n \"('cluster' not in params or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter\",\n \"method logs_get\\\" % key ) params[key] = val del params['kwargs'] # verify the\",\n \"Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs', 'GET', path_params,\",\n \"serving functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\"\",\n \"'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines',\",\n \":param str tail_lines: :param str timestamps: :return: None If the method is called\",\n \"in params: query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds']))\",\n \"\\\" to method logs_get\\\" % key ) params[key] = val del params['kwargs'] #\",\n \"'pod_name' is set if ('pod_name' not in params or params['pod_name'] is None): raise\",\n \"If the method is called asynchronously, returns the request thread. \\\"\\\"\\\" kwargs['_return_http_data_only'] =\",\n \"noqa: E501 This method makes a synchronous HTTP request by default. To make\",\n \"local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] #\",\n \"noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501 This method makes\",\n \"parameter 'name' is set if ('name' not in params or params['name'] is None):\",\n \"thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req\",\n \"'since_time', 'tail_lines', 'timestamps'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals()\",\n \"# verify the required parameter 'namespace' is set if ('namespace' not in params\",\n \"request by default. To make an asynchronous HTTP request, please pass async_req=True >>>\",\n \"not in all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to\",\n \"params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501\",\n \"raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats\",\n \"make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name,\",\n \"noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps'\",\n \"re # noqa: F401 # python 2 and python 3 compatibility library import\",\n \"not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client\",\n \"keyword argument '%s'\\\" \\\" to method logs_get\\\" % key ) params[key] = val\",\n \"if ('pod_name' not in params or params['pod_name'] is None): raise ValueError(\\\"Missing the required\",\n \"in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name']))\",\n \"import re # noqa: F401 # python 2 and python 3 compatibility library\",\n \"called asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster',\",\n \"params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster` when calling `logs_get`\\\") #\",\n \"E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in\",\n \"E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in\",\n \"= api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool\",\n \"all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines',\",\n \"request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>>\",\n \"verify the required parameter 'pod_name' is set if ('pod_name' not in params or\",\n \"params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) #\",\n \"'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params: query_params.append(('pod_name',\",\n \"code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def\",\n \"client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the\",\n \"kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa:\",\n \"functionalities # noqa: E501 OpenAPI spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from\",\n \"None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") # noqa: E501\",\n \"# noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if\",\n \"API Guide for accessing Merlin's model management, deployment, and serving functionalities # noqa:\",\n \"since_seconds: :param str since_time: :param str tail_lines: :param str timestamps: :return: None If\",\n \"raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") # noqa: E501 #\",\n \"E501 header_params = {} form_params = [] local_var_files = {} body_params = None\",\n \"request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>>\",\n \"E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501\",\n \"verify the required parameter 'name' is set if ('name' not in params or\",\n \"not in params or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name`\",\n \"params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501\",\n \"str since_time: :param str tail_lines: :param str timestamps: :return: None If the method\",\n \"self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name,\",\n \"# noqa: E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501 This method\",\n \"in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time', params['since_time']))\",\n \"HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True\",\n \"E501 # verify the required parameter 'cluster' is set if ('cluster' not in\",\n \"E501 # verify the required parameter 'namespace' is set if ('namespace' not in\",\n \"import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the swagger\",\n \"E501 if 'cluster' in params: query_params.append(('cluster', params['cluster'])) # noqa: E501 if 'follow' in\",\n \"coding: utf-8 \\\"\\\"\\\" Merlin API Guide for accessing Merlin's model management, deployment, and\",\n \"version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re #\",\n \"key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got an\",\n \"all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\"\",\n \"cluster: (required) :param str follow: :param str limit_bytes: :param str pretty: :param str\",\n \"import absolute_import import re # noqa: F401 # python 2 and python 3\",\n \"synchronous HTTP request by default. To make an asynchronous HTTP request, please pass\",\n \"(required) :param str cluster: (required) :param str follow: :param str limit_bytes: :param str\",\n \"set if ('name' not in params or params['name'] is None): raise ValueError(\\\"Missing the\",\n \"if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params:\",\n \"= api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve\",\n \"container # noqa: E501 This method makes a synchronous HTTP request by default.\",\n \"namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster,\",\n \"query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa:\",\n \"params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous'])) # noqa: E501\",\n \"`logs_get`\\\") # noqa: E501 collection_formats = {} path_params = {} query_params = []\",\n \"to method logs_get\\\" % key ) params[key] = val del params['kwargs'] # verify\",\n \"if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params\",\n \"E501 if 'since_time' in params: query_params.append(('since_time', params['since_time'])) # noqa: E501 if 'tail_lines' in\",\n \"def logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from\",\n \"2 and python 3 compatibility library import six from client.api_client import ApiClient class\",\n \"api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name,\",\n \"query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content',\",\n \"the required parameter 'cluster' is set if ('cluster' not in params or params['cluster']\",\n \"# noqa: E501 if 'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if\",\n \"Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if api_client is None: api_client = ApiClient()\",\n \"generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self,\",\n \"HTTP request, please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True)\",\n \"if 'namespace' in params: query_params.append(('namespace', params['namespace'])) # noqa: E501 if 'cluster' in params:\",\n \"# noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val\",\n \"parameter `cluster` when calling `logs_get`\\\") # noqa: E501 collection_formats = {} path_params =\",\n \"is set if ('cluster' not in params or params['cluster'] is None): raise ValueError(\\\"Missing\",\n \"or params['namespace'] is None): raise ValueError(\\\"Missing the required parameter `namespace` when calling `logs_get`\\\")\",\n \"E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in\",\n \"noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not\",\n \"and python 3 compatibility library import six from client.api_client import ApiClient class LogApi(object):\",\n \"all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key\",\n \"params['since_time'])) # noqa: E501 if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501\",\n \"key ) params[key] = val del params['kwargs'] # verify the required parameter 'name'\",\n \"pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param str\",\n \"namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace,\",\n \"namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param str name:\",\n \"if api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name,\",\n \"noqa: E501 if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes'\",\n \"if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params:\",\n \"None: api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster,\",\n \"async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()\",\n \"None): raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\") # noqa: E501\",\n \"Merlin API Guide for accessing Merlin's model management, deployment, and serving functionalities #\",\n \"params or params['pod_name'] is None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling\",\n \"# noqa: E501 # verify the required parameter 'pod_name' is set if ('pod_name'\",\n \"if ('namespace' not in params or params['namespace'] is None): raise ValueError(\\\"Missing the required\",\n \"please pass async_req=True >>> thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result\",\n \"{} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501\",\n \"cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs)\",\n \"name: (required) :param str pod_name: (required) :param str namespace: (required) :param str cluster:\",\n \"in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty']))\",\n \"in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps']))\",\n \":param str pretty: :param str previous: :param str since_seconds: :param str since_time: :param\",\n \"str follow: :param str limit_bytes: :param str pretty: :param str previous: :param str\",\n \"method makes a synchronous HTTP request by default. To make an asynchronous HTTP\",\n \"return self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 else: (data) = self.logs_get_with_http_info(name,\",\n \"header_params = {} form_params = [] local_var_files = {} body_params = None #\",\n \"# noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params\",\n \"is auto generated by the swagger code generator program. Do not edit the\",\n \"asynchronous HTTP request, please pass async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster,\",\n \"pod_name: (required) :param str namespace: (required) :param str cluster: (required) :param str follow:\",\n \"cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name, namespace, cluster,\",\n \"return self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa:\",\n \"else: (data) = self.logs_get_with_http_info(name, pod_name, namespace, cluster, **kwargs) # noqa: E501 return data\",\n \"str name: (required) :param str pod_name: (required) :param str namespace: (required) :param str\",\n \"if 'follow' in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params:\",\n \"query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params = {} form_params = [] local_var_files =\",\n \"params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) #\",\n \"the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace', 'cluster', 'follow', 'limit_bytes', 'pretty',\",\n \"compatibility library import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class\",\n \"Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen \\\"\\\"\\\" def __init__(self, api_client=None): if\",\n \"if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'pod_name' in params:\",\n \"val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got an unexpected\",\n \"in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'previous' in params: query_params.append(('previous', params['previous']))\",\n \"# noqa: E501 This method makes a synchronous HTTP request by default. To\",\n \"async_req=True >>> thread = api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get()\",\n \"`logs_get`\\\") # noqa: E501 # verify the required parameter 'pod_name' is set if\",\n \"is None): raise ValueError(\\\"Missing the required parameter `pod_name` when calling `logs_get`\\\") # noqa:\",\n \"params['tail_lines'])) # noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501\",\n \"if 'tail_lines' in params: query_params.append(('tail_lines', params['tail_lines'])) # noqa: E501 if 'timestamps' in params:\",\n \"None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/logs',\",\n \"'pod_name' in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace',\",\n \"api.logs_get_with_http_info(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req bool :param\",\n \"auto generated by the swagger code generator program. Do not edit the class\",\n \":param str timestamps: :return: None If the method is called asynchronously, returns the\",\n \"'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa: E501 if 'since_time' in params: query_params.append(('since_time',\",\n \"required parameter `namespace` when calling `logs_get`\\\") # noqa: E501 # verify the required\",\n \"thread.get() :param async_req bool :param str name: (required) :param str pod_name: (required) :param\",\n \"params or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster` when calling\",\n \"noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if 'pretty'\",\n \"self.api_client.call_api( '/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501\",\n \"when calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'pod_name' is\",\n \"not in params or params['cluster'] is None): raise ValueError(\\\"Missing the required parameter `cluster`\",\n \"query_params.append(('previous', params['previous'])) # noqa: E501 if 'since_seconds' in params: query_params.append(('since_seconds', params['since_seconds'])) # noqa:\",\n \"spec version: 0.7.0 Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re\",\n \"locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError(\",\n \"an unexpected keyword argument '%s'\\\" \\\" to method logs_get\\\" % key ) params[key]\",\n \"Generated by: https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re # noqa: F401\",\n \"in params: query_params.append(('follow', params['follow'])) # noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes']))\",\n \"noqa: E501 if 'timestamps' in params: query_params.append(('timestamps', params['timestamps'])) # noqa: E501 header_params =\",\n \"{} form_params = [] local_var_files = {} body_params = None # Authentication setting\",\n \"noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'name'\",\n \"'/logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings,\",\n \"key not in all_params: raise TypeError( \\\"Got an unexpected keyword argument '%s'\\\" \\\"\",\n \"for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got\",\n \"ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto generated by the swagger code\",\n \"import six from client.api_client import ApiClient class LogApi(object): \\\"\\\"\\\"NOTE: This class is auto\",\n \"E501 \\\"\\\"\\\"Retrieve log from a container # noqa: E501 This method makes a\",\n \"namespace: (required) :param str cluster: (required) :param str follow: :param str limit_bytes: :param\",\n \"noqa: E501 # verify the required parameter 'cluster' is set if ('cluster' not\",\n \"If the method is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params =\",\n \"when calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'namespace' is\",\n \"= ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs): #\",\n \"# noqa: E501 if 'limit_bytes' in params: query_params.append(('limit_bytes', params['limit_bytes'])) # noqa: E501 if\",\n \"logs_get_with_http_info(self, name, pod_name, namespace, cluster, **kwargs): # noqa: E501 \\\"\\\"\\\"Retrieve log from a\",\n \"{} query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501\",\n \"is called asynchronously, returns the request thread. \\\"\\\"\\\" all_params = ['name', 'pod_name', 'namespace',\",\n \"`pod_name` when calling `logs_get`\\\") # noqa: E501 # verify the required parameter 'namespace'\",\n \"pod_name, namespace, cluster, **kwargs) # noqa: E501 return data def logs_get_with_http_info(self, name, pod_name,\",\n \"or params['name'] is None): raise ValueError(\\\"Missing the required parameter `name` when calling `logs_get`\\\")\",\n \"six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( \\\"Got an unexpected keyword argument\",\n \"required parameter 'pod_name' is set if ('pod_name' not in params or params['pod_name'] is\",\n \"all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in\",\n \"thread = api.logs_get(name, pod_name, namespace, cluster, async_req=True) >>> result = thread.get() :param async_req\",\n \"api_client = ApiClient() self.api_client = api_client def logs_get(self, name, pod_name, namespace, cluster, **kwargs):\",\n \"noqa: F401 # python 2 and python 3 compatibility library import six from\",\n \"https://github.com/swagger-api/swagger-codegen.git \\\"\\\"\\\" from __future__ import absolute_import import re # noqa: F401 # python\",\n \"in params: query_params.append(('pod_name', params['pod_name'])) # noqa: E501 if 'namespace' in params: query_params.append(('namespace', params['namespace']))\"\n]","isConversational":false}}},{"rowIdx":791,"cells":{"ngram":{"kind":"list like","value":["system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: #","for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs","subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print","system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this is a","a parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs):","from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class","\"\"\" system = self._system # If this is a parallel group, check for","system. \"\"\" system = self._system # If this is a parallel group, check","+= prefix + nchar * \"=\" + \"\\n\" header += prefix + pathname","print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on the system. \"\"\" system","'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the iteration loop. \"\"\"","parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with","self) as rec: # If this is a parallel group, check for analysis","multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ'","+ nchar * \"=\" + \"\\n\" header += prefix + pathname + \"\\n\"","_run_apply(self): \"\"\" Run the apply_nonlinear method on the system. \"\"\" system = self._system","Recording('NonlinearBlockJac', 0, self) as rec: # If this is a parallel group, check","> 0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix","and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear()","the apply_nonlinear method on the system. \"\"\" system = self._system # If this","len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys","import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL:","\"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\"","system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel","NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\"","if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\"","\"\"\" Print header text before solving. \"\"\" if (self.options['iprint'] > 0): pathname =","openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi","analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else:","Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform","this is a parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc)","\"\\n\" header += prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run","len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc:","check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac,","is a parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc) !=","import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\"","nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on the","analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in","the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0,","in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0","nchar = len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\" header +=","pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\" header","+ \"\\n\" header += prefix + pathname + \"\\n\" header += prefix +","+ pathname + \"\\n\" header += prefix + nchar * \"=\" print(header) def","loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as","system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\"","check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for","header += prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the","\"\"\" Perform the operations in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver()","from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER","group, check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm):","\"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the","else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0","header = prefix + \"\\n\" header += prefix + nchar * \"=\" +","= self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix","system = self._system # If this is a parallel group, check for analysis","+= prefix + pathname + \"\\n\" header += prefix + nchar * \"=\"","subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs =","\"=\" + \"\\n\" header += prefix + pathname + \"\\n\" header += prefix","Print header text before solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname","SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the iteration","and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac, self)._run_apply()","header += prefix + nchar * \"=\" + \"\\n\" header += prefix +","from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block","\"\"\"Define the NonlinearBlockJac class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from","_mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if (self.options['iprint'] > 0): pathname","If this is a parallel group, check for analysis errors and reraise. if","(self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix =","NonlinearBlockJac class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import","* \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on the system.","NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self):","0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header","openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER =","NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the iteration loop. \"\"\" system","multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf()","with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear()","apply_nonlinear method on the system. \"\"\" system = self._system # If this is","= self._system # If this is a parallel group, check for analysis errors","0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving.","!= len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in","block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the","the operations in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd')","'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this is a parallel","_single_iteration(self): \"\"\" Perform the operations in the iteration loop. \"\"\" system = self._system","with Recording('NonlinearBlockJac', 0, self) as rec: # If this is a parallel group,","= len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\" header += prefix","prefix + nchar * \"=\" + \"\\n\" header += prefix + pathname +","self._system # If this is a parallel group, check for analysis errors and","in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac',","as rec: # If this is a parallel group, check for analysis errors","if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix","len(pathname) prefix = self._solver_info.prefix header = prefix + \"\\n\" header += prefix +","import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver.","for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop()","0, self) as rec: # If this is a parallel group, check for","Perform the operations in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear',","text before solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname:","+ \"\\n\" header += prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\"","# If this is a parallel group, check for analysis errors and reraise.","errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac,","def _run_apply(self): \"\"\" Run the apply_nonlinear method on the system. \"\"\" system =","= self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If","header += prefix + pathname + \"\\n\" header += prefix + nchar *","* \"=\" + \"\\n\" header += prefix + pathname + \"\\n\" header +=","before solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar","Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations","iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self)","prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method","self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this","+ nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on","subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel =","reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else:","if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for","pathname + \"\\n\" header += prefix + nchar * \"=\" print(header) def _run_apply(self):","self._solver_info.prefix header = prefix + \"\\n\" header += prefix + nchar * \"=\"","prefix + pathname + \"\\n\" header += prefix + nchar * \"=\" print(header)","\"\\n\" header += prefix + nchar * \"=\" + \"\\n\" header += prefix","Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear","nchar * \"=\" + \"\\n\" header += prefix + pathname + \"\\n\" header","solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar =","subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def","= 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before","\"\"\" Run the apply_nonlinear method on the system. \"\"\" system = self._system #","+= prefix + nchar * \"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear","solver. \"\"\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in","errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc:","= prefix + \"\\n\" header += prefix + nchar * \"=\" + \"\\n\"","rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text","= 'NL: NLBJ' def _single_iteration(self): \"\"\" Perform the operations in the iteration loop.","\"=\" print(header) def _run_apply(self): \"\"\" Run the apply_nonlinear method on the system. \"\"\"","Run the apply_nonlinear method on the system. \"\"\" system = self._system # If","self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this is","class NonlinearBlockJac(NonlinearSolver): \"\"\" Nonlinear block Jacobi solver. \"\"\" SOLVER = 'NL: NLBJ' def","self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if (self.options['iprint'] >","= 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if","prefix + \"\\n\" header += prefix + nchar * \"=\" + \"\\n\" header","for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys","+ \"\\n\" header += prefix + nchar * \"=\" + \"\\n\" header +=","def _single_iteration(self): \"\"\" Perform the operations in the iteration loop. \"\"\" system =","pathname = self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header =","class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check","operations in the iteration loop. \"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with","\"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar = len(pathname)","in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self):","rec: # If this is a parallel group, check for analysis errors and","\"\\n\" header += prefix + pathname + \"\\n\" header += prefix + nchar","self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix +","system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header","= self._solver_info.prefix header = prefix + \"\\n\" header += prefix + nchar *","method on the system. \"\"\" system = self._system # If this is a","0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if (self.options['iprint']","for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply()","the NonlinearBlockJac class.\"\"\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi","openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver):","def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\" if (self.options['iprint'] > 0):","the system. \"\"\" system = self._system # If this is a parallel group,","rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \"\"\" Print header text before solving. \"\"\"","header text before solving. \"\"\" if (self.options['iprint'] > 0): pathname = self._system.pathname if","prefix = self._solver_info.prefix header = prefix + \"\\n\" header += prefix + nchar","on the system. \"\"\" system = self._system # If this is a parallel","\"\"\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec:"],"string":"[\n \"system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: #\",\n \"for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs\",\n \"subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print\",\n \"system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this is a\",\n \"a parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs):\",\n \"from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class\",\n \"\\\"\\\"\\\" system = self._system # If this is a parallel group, check for\",\n \"system. \\\"\\\"\\\" system = self._system # If this is a parallel group, check\",\n \"+= prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname\",\n \"print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\" system\",\n \"'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\"\",\n \"parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with\",\n \"self) as rec: # If this is a parallel group, check for analysis\",\n \"multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ'\",\n \"+ nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\"\",\n \"_run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system\",\n \"Recording('NonlinearBlockJac', 0, self) as rec: # If this is a parallel group, check\",\n \"> 0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix\",\n \"and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear()\",\n \"the apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system # If this\",\n \"len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys\",\n \"import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL:\",\n \"\\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\"\",\n \"system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel\",\n \"NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\"\",\n \"if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\"\",\n \"\\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname =\",\n \"openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi\",\n \"analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else:\",\n \"Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform\",\n \"this is a parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc)\",\n \"\\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run\",\n \"len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc:\",\n \"check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac,\",\n \"is a parallel group, check for analysis errors and reraise. if len(system._subsystems_myproc) !=\",\n \"import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\"\",\n \"nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the\",\n \"analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in\",\n \"the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0,\",\n \"in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0\",\n \"nchar = len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header +=\",\n \"pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header\",\n \"+ \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header += prefix +\",\n \"+ pathname + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header) def\",\n \"loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as\",\n \"system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\"\",\n \"check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for\",\n \"header += prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the\",\n \"\\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver()\",\n \"from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER\",\n \"group, check for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm):\",\n \"\\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the\",\n \"else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0\",\n \"header = prefix + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" +\",\n \"= self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix\",\n \"system = self._system # If this is a parallel group, check for analysis\",\n \"+= prefix + pathname + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\"\",\n \"subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs =\",\n \"\\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header += prefix\",\n \"Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname\",\n \"SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration\",\n \"and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac, self)._run_apply()\",\n \"header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix +\",\n \"from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block\",\n \"\\\"\\\"\\\"Define the NonlinearBlockJac class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from\",\n \"_mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname\",\n \"If this is a parallel group, check for analysis errors and reraise. if\",\n \"(self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix =\",\n \"NonlinearBlockJac class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import\",\n \"* \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system.\",\n \"NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self):\",\n \"0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header\",\n \"openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER =\",\n \"NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\" system\",\n \"multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf()\",\n \"with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear()\",\n \"apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system # If this is\",\n \"= self._system # If this is a parallel group, check for analysis errors\",\n \"0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving.\",\n \"!= len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in\",\n \"block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the\",\n \"the operations in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd')\",\n \"'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this is a parallel\",\n \"_single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\" system = self._system\",\n \"with Recording('NonlinearBlockJac', 0, self) as rec: # If this is a parallel group,\",\n \"= len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix\",\n \"prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname +\",\n \"self._system # If this is a parallel group, check for analysis errors and\",\n \"in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac',\",\n \"as rec: # If this is a parallel group, check for analysis errors\",\n \"if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar = len(pathname) prefix\",\n \"len(pathname) prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix +\",\n \"import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver.\",\n \"for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop()\",\n \"0, self) as rec: # If this is a parallel group, check for\",\n \"Perform the operations in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear',\",\n \"text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname:\",\n \"+ \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\"\",\n \"# If this is a parallel group, check for analysis errors and reraise.\",\n \"errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply() else: super(NonlinearBlockJac,\",\n \"def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\" system =\",\n \"= self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If\",\n \"header += prefix + pathname + \\\"\\\\n\\\" header += prefix + nchar *\",\n \"* \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header +=\",\n \"before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar\",\n \"Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations\",\n \"iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self)\",\n \"prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method\",\n \"self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this\",\n \"+ nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on\",\n \"subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel =\",\n \"reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else:\",\n \"if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for\",\n \"pathname + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header) def _run_apply(self):\",\n \"self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\"\",\n \"prefix + pathname + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" print(header)\",\n \"\\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix\",\n \"Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear\",\n \"nchar * \\\"=\\\" + \\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header\",\n \"solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar =\",\n \"subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def\",\n \"= 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before\",\n \"\\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system #\",\n \"+= prefix + nchar * \\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear\",\n \"solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in\",\n \"errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys in system._subsystems_myproc:\",\n \"= prefix + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\"\",\n \"rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text\",\n \"= 'NL: NLBJ' def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop.\",\n \"\\\"=\\\" print(header) def _run_apply(self): \\\"\\\"\\\" Run the apply_nonlinear method on the system. \\\"\\\"\\\"\",\n \"Run the apply_nonlinear method on the system. \\\"\\\"\\\" system = self._system # If\",\n \"self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: # If this is\",\n \"class NonlinearBlockJac(NonlinearSolver): \\\"\\\"\\\" Nonlinear block Jacobi solver. \\\"\\\"\\\" SOLVER = 'NL: NLBJ' def\",\n \"self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] >\",\n \"= 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if\",\n \"prefix + \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header\",\n \"for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): for subsys\",\n \"+ \\\"\\\\n\\\" header += prefix + nchar * \\\"=\\\" + \\\"\\\\n\\\" header +=\",\n \"def _single_iteration(self): \\\"\\\"\\\" Perform the operations in the iteration loop. \\\"\\\"\\\" system =\",\n \"pathname = self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header =\",\n \"class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check\",\n \"operations in the iteration loop. \\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with\",\n \"\\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if pathname: nchar = len(pathname)\",\n \"in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self):\",\n \"rec: # If this is a parallel group, check for analysis errors and\",\n \"\\\"\\\\n\\\" header += prefix + pathname + \\\"\\\\n\\\" header += prefix + nchar\",\n \"self._system.pathname if pathname: nchar = len(pathname) prefix = self._solver_info.prefix header = prefix +\",\n \"system._check_child_reconf() rec.abs = 0.0 rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header\",\n \"= self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix + nchar *\",\n \"method on the system. \\\"\\\"\\\" system = self._system # If this is a\",\n \"0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint']\",\n \"for analysis errors and reraise. if len(system._subsystems_myproc) != len(system._subsystems_allprocs): with multi_proc_fail_check(system.comm): super(NonlinearBlockJac, self)._run_apply()\",\n \"the NonlinearBlockJac class.\\\"\\\"\\\" from openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi\",\n \"openmdao.recorders.recording_iteration_stack import Recording from openmdao.solvers.solver import NonlinearSolver from openmdao.utils.mpi import multi_proc_fail_check class NonlinearBlockJac(NonlinearSolver):\",\n \"def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0):\",\n \"the system. \\\"\\\"\\\" system = self._system # If this is a parallel group,\",\n \"rec.rel = 0.0 self._solver_info.pop() def _mpi_print_header(self): \\\"\\\"\\\" Print header text before solving. \\\"\\\"\\\"\",\n \"header text before solving. \\\"\\\"\\\" if (self.options['iprint'] > 0): pathname = self._system.pathname if\",\n \"prefix = self._solver_info.prefix header = prefix + \\\"\\\\n\\\" header += prefix + nchar\",\n \"on the system. \\\"\\\"\\\" system = self._system # If this is a parallel\",\n \"\\\"\\\"\\\" system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec:\"\n]","isConversational":false}}},{"rowIdx":792,"cells":{"ngram":{"kind":"list like","value":["as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered = True","KIND, either express or implied. # See the License for the specific language","not sess.run(b): filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r,","Unless required by applicable law or agreed to in writing, software # distributed","specific language governing permissions and # limitations under the License. # ============================================================================== \"\"\"Tests","tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"]))","dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(10): r","swap = lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42),","constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda","iterator.get_next() with self.test_session() as sess: for x in range(5): r = map_function(x) filtered","functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function,","= [take_all, is_zero, greater] identity = lambda x: x for x, predicate_1 in","lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x,","predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x:","with self.test_session() as sess: for x in range(5): r = map_function(x) filtered =","lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self,","constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y,","function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def","= iterator.get_next() with self.test_session() as sess: for x in range(10): r = function(x)","from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from","lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], ))","sess.run(b): filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result)","# We are currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply(","this file except in compliance with the License. # You may obtain a","increment = lambda x: x + 1 minus_five = lambda x: x -","fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) #","lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater","self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next =","tuple as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered =","x: math_ops.greater(x + 5, 0) tests = [] filters = [take_all, is_zero, greater]","x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1,","dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x * x def","return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function","# Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with","= lambda x: x increment = lambda x: x + 1 def increment_and_square(x):","x in range(5): result = sess.run(get_next) r = x for function in functions:","self.test_session() as sess: for x in range(10): r = function(x) if isinstance(r, tuple):","dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"]))","isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments. else: b","def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset","inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def","\"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda x, n: (n,","+ 1 def increment_and_square(x): y = x + 1 return y * y","tuple): b = predicate(*r) # Pass tuple as multiple arguments. else: b =","ANY KIND, either express or implied. # See the License for the specific","b = predicate(r) if not sess.run(b): filtered = True break if not filtered:","parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op","sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment = lambda x:","not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"]))","take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x *","in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x,","\"Swap2\", [lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self,","arguments. else: b = predicate(r) if not sess.run(b): filtered = True break if","predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments.","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function","z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi","the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import","test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment","as sess: for x in range(10): r = function(x) if isinstance(r, tuple): b","tuple as multiple arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next)","Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\",","k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap","fun3], )) swap = lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x:","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","\"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator()","increment_and_square(x): y = x + 1 return y * y functions = [identity,","currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply(","import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase):","x in range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r) #","[] filters = [take_all, is_zero, greater] identity = lambda x: x for x,","self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor","OF ANY KIND, either express or implied. # See the License for the","= lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap],","predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters):","with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64)","dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x","result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment","[take_all, is_zero, is_odd, greater] tests = [] for x, fun in enumerate(functions): for","[\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x:","\"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True)","multiple arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result)","as sess: for x in range(5): result = sess.run(get_next) r = x for","greater = lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five,","@parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset,","# Pass tuple as multiple arguments. else: b = predicate(r) if not sess.run(b):","dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test","are currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\",","\"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator =","predicate in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple as","= True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):","additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod","[lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap,","x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are","x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests)","tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [","in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda","n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\",","dtypes.int64), some_tensor) # We are currently not supporting functions with additional inputs. dataset","x for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y),","(x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda","All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the","lambda x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x + 5,","division from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization","= lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x),","in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi","software # distributed under the License is distributed on an \"AS IS\" BASIS,","math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset","return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions with additional","import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import","optimization.\"\"\" from __future__ import absolute_import from __future__ import division from __future__ import print_function","tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),","(x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], ))","x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append((","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","r = function(*r) # Pass tuple as multiple arguments. else: r = function(r)","= lambda x: math_ops.greater(x + 5, 0) tests = [] filters = [take_all,","y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function,","b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator","optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x",")) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__())","in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","sess.run(get_next) r = x for function in functions: if isinstance(r, tuple): r =","take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__())","dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset,","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment = lambda","constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x * x","def increment_and_square(x): y = x + 1 return y * y functions =","required by applicable law or agreed to in writing, software # distributed under","result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3,","__future__ import division from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops","applicable law or agreed to in writing, software # distributed under the License","for x in range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r)","math_ops.greater(x + 5, 0) tests = [] filters = [take_all, is_zero, greater] identity","_testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as","function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next","x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate))","or agreed to in writing, software # distributed under the License is distributed","functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()","dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()","if not sess.run(b): filtered = True break if not filtered: result = sess.run(get_next)","return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply(","CONDITIONS OF ANY KIND, either express or implied. # See the License for","0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\",","dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()","constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops","range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple","tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework","from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda","= dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with","def increment_and_square(x): y = x + 1 return y * y take_all =","x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x,","= dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(10):","swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"]))","lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We","self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment = lambda","under the Apache License, Version 2.0 (the \"License\"); # you may not use","range(5): r = map_function(x) filtered = False for predicate in predicates: if isinstance(r,","writing, software # distributed under the License is distributed on an \"AS IS\"","import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import","x: x + 1 minus_five = lambda x: x - 5 def increment_and_square(x):","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform","[identity, increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions): for j,","from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from","License. # You may obtain a copy of the License at # #","math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all,","Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x,","y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate):","compliance with the License. # You may obtain a copy of the License","filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater","testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset =","= lambda x: x increment = lambda x: x + 1 minus_five =","2, 0) greater = lambda x: math_ops.greater(x + 5, 0) functions = [identity,","5, 0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd,","sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a =","increment_and_square(x): y = x + 1 return y * y take_all = lambda","map_functions(): identity = lambda x: x increment = lambda x: x + 1","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x:","math_ops.mul(a, b) function = lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y,","predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with","result = sess.run(get_next) r = x for function in functions: if isinstance(r, tuple):","permissions and # limitations under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion","identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output","fun2, fun3], )) swap = lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda","r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity =","= lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0)","tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda","x: x increment = lambda x: x + 1 def increment_and_square(x): y =","= [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests =","predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator()","math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater = lambda","+ 5, 0) tests = [] filters = [take_all, is_zero, greater] identity =","not use this file except in compliance with the License. # You may","in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for","x + 1 minus_five = lambda x: x - 5 def increment_and_square(x): y","x: x increment = lambda x: x + 1 minus_five = lambda x:","def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions","limitations under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__","function(*r) # Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result)","for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator()","License, Version 2.0 (the \"License\"); # you may not use this file except","in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x,","import division from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import","import absolute_import from __future__ import division from __future__ import print_function from absl.testing import","2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache","fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in","def map_functions(): identity = lambda x: x increment = lambda x: x +","fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2],","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the","dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply(","math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions with additional inputs.","dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): result","dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions():","j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3","= function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda","for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple","in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next =","= dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:","0) greater = lambda x: math_ops.greater(x + 5, 0) tests = [] filters","identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1,","# you may not use this file except in compliance with the License.","greater] tests = [] for x, fun in enumerate(functions): for y, predicate in","in range(5): result = sess.run(get_next) r = x for function in functions: if","Pass tuple as multiple arguments. else: b = predicate(r) if sess.run(b): result =","= x + 1 return y * y functions = [identity, increment, increment_and_square]","% 2, 0) greater = lambda x: math_ops.greater(x + 5, 0) functions =","agreed to in writing, software # distributed under the License is distributed on","errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod","= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset =","lambda x: x increment = lambda x: x + 1 def increment_and_square(x): y","<filename>tensorflow/contrib/data/python/kernel_tests/optimization/map_and_filter_fusion_test.py # Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed","(the \"License\"); # you may not use this file except in compliance with","math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply(","testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates:","License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from","else: b = predicate(r) if not sess.run(b): filtered = True break if not","+ 1 return y * y take_all = lambda x: constant_op.constant(True) is_zero =","= lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square]","from __future__ import division from __future__ import print_function from absl.testing import parameterized from","= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function,","identity = lambda x: x for x, predicate_1 in enumerate(filters): for y, predicate_2","iterator.get_next() with self.test_session() as sess: for x in range(10): r = function(x) if","= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset","is_zero, greater] identity = lambda x: x for x, predicate_1 in enumerate(filters): for","filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with","# Unless required by applicable law or agreed to in writing, software #","1 def increment_and_square(x): y = x + 1 return y * y functions","for x in range(5): r = map_function(x) filtered = False for predicate in","tests = [] for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions):","# ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__","by applicable law or agreed to in writing, software # distributed under the","enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output","= function(*r) # Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r,","i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1,","for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], ))","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","with self.test_session() as sess: for x in range(5): result = sess.run(get_next) r =","= lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) #","from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from","x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x","x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater =","for x in range(5): result = sess.run(get_next) r = x for function in","enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append((","x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x","tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i,","lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters","# Pass tuple as multiple arguments. else: b = predicate(r) if sess.run(b): result","with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment =","math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity =","for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import division from","file except in compliance with the License. # You may obtain a copy","is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5,","[take_all, is_zero, greater] identity = lambda x: x for x, predicate_1 in enumerate(filters):","x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda","= constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function =","result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4,","multiple arguments. else: b = predicate(r) if not sess.run(b): filtered = True break","testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate)","y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda","if isinstance(r, tuple): r = function(*r) # Pass tuple as multiple arguments. else:","License for the specific language governing permissions and # limitations under the License.","r = function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple as","* math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset =","increment = lambda x: x + 1 def increment_and_square(x): y = x +","+ 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero,","x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset","= predicate(r) if not sess.run(b): filtered = True break if not filtered: result","to in writing, software # distributed under the License is distributed on an","(\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)))","map_and_filter_functions(): identity = lambda x: x increment = lambda x: x + 1","optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes","[\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator =","implied. # See the License for the specific language governing permissions and #","x - 5 def increment_and_square(x): y = x + 1 return y *","[] for x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y),","\"License\"); # you may not use this file except in compliance with the","import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import","Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\");","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import","[identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = []","[lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions):","= dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(5):","y take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd","functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function)","lambda x: x + 1 minus_five = lambda x: x - 5 def","if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a","increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = [] for","lambda x: x - 5 def increment_and_square(x): y = x + 1 return","x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function,","function in functions: if isinstance(r, tuple): r = function(*r) # Pass tuple as","or implied. # See the License for the specific language governing permissions and","fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2,","filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \"__main__\":","break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if","predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x:","42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], )) return","dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as","predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r) if sess.run(b):","Apache License, Version 2.0 (the \"License\"); # you may not use this file","= [] for x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x,","return y * y functions = [identity, increment, increment_and_square] tests = [] for","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","\"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j,","x increment = lambda x: x + 1 minus_five = lambda x: x","for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator =","is_zero, is_odd, greater] tests = [] for x, fun in enumerate(functions): for y,","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self,","filtered = False for predicate in predicates: if isinstance(r, tuple): b = predicate(*r)","= lambda x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x +","tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops","r = map_function(x) filtered = False for predicate in predicates: if isinstance(r, tuple):","predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x","b) function = lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64),","\"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42),","y = x + 1 return y * y take_all = lambda x:","def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0)","[ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests)","self.test_session() as sess: for x in range(5): r = map_function(x) filtered = False","# See the License for the specific language governing permissions and # limitations","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","1 return y * y take_all = lambda x: constant_op.constant(True) is_zero = lambda","get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): result =","enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda x,","arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions():","[fun1, fun2, fun3], )) swap = lambda x, n: (n, x) tests.append(( \"Swap1\",","(x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x,","from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from","= lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0)","self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero =","True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)","the Apache License, Version 2.0 (the \"License\"); # you may not use this","= lambda x: x - 5 def increment_and_square(x): y = x + 1","you may not use this file except in compliance with the License. #","sess: for x in range(5): r = map_function(x) filtered = False for predicate","r = x for function in functions: if isinstance(r, tuple): r = function(*r)","0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater]","filters = [take_all, is_zero, is_odd, greater] tests = [] for x, fun in","from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def","as sess: for x in range(5): r = map_function(x) filtered = False for","(x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__())","fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y:","class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment =","print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops","0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\",","x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x, y:","else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity","Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):","use this file except in compliance with the License. # You may obtain","import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x","enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x),","sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor =","math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x + 5, 0) functions","y * y functions = [identity, increment, increment_and_square] tests = [] for i,","tests = [] for x, fun in enumerate(functions): for y, predicate in enumerate(filters):","= constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x *","dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset =","governing permissions and # limitations under the License. # ============================================================================== \"\"\"Tests for the","dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset","* math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset","Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","= [] for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append((","tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z),","map_function(x) filtered = False for predicate in predicates: if isinstance(r, tuple): b =","(x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset =","in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], ))","y), fun, predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x,","increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = [] for x, fun","function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for","= lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda","def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a,","lambda x: x increment = lambda x: x + 1 minus_five = lambda","sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b","supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset,","absolute_import from __future__ import division from __future__ import print_function from absl.testing import parameterized","2.0 (the \"License\"); # you may not use this file except in compliance","y = x + 1 return y * y functions = [identity, increment,","is_odd = lambda x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x","tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions():","iterator.get_next() with self.test_session() as sess: for x in range(5): result = sess.run(get_next) r","for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun, predicate)) # Multi output tests.append((\"Multi1\",","x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently","[predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2,","lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def","output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2),","def map_and_filter_functions(): identity = lambda x: x increment = lambda x: x +","minus_five = lambda x: x - 5 def increment_and_square(x): y = x +","for the specific language governing permissions and # limitations under the License. #","x in range(5): r = map_function(x) filtered = False for predicate in predicates:","dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x:","function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda","lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x:","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the","+ 1 return y * y functions = [identity, increment, increment_and_square] tests =","x increment = lambda x: x + 1 def increment_and_square(x): y = x","TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version","lambda x: x for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters):","= [identity, increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions): for","enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y,","= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all","tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x:","x: x + 1 def increment_and_square(x): y = x + 1 return y","# # Unless required by applicable law or agreed to in writing, software","language governing permissions and # limitations under the License. # ============================================================================== \"\"\"Tests for","lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple,","constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x +","x + 1 return y * y functions = [identity, increment, increment_and_square] tests","# Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x:","dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as","express or implied. # See the License for the specific language governing permissions","# Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append(","tests = [] filters = [take_all, is_zero, greater] identity = lambda x: x","= math_ops.mul(a, b) function = lambda x: x * x def predicate(y): return","dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for","and # limitations under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\"","output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda","= lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda","filters = [take_all, is_zero, greater] identity = lambda x: x for x, predicate_1","if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__","tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x:","from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class","@parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions:","def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in","either express or implied. # See the License for the specific language governing","for predicate in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple","\"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"]))","increment_and_square] tests = [] for i, fun1 in enumerate(functions): for j, fun2 in","dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors","for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j),","swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], )) return tuple(tests)","0) tests = [] filters = [take_all, is_zero, greater] identity = lambda x:","in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next","+ 1 minus_five = lambda x: x - 5 def increment_and_square(x): y =","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater =","y * y take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x,","= x + 1 return y * y take_all = lambda x: constant_op.constant(True)","lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return","increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions): for j, fun2","tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda x, n:","= dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()","tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True)","iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in","predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2]))","__future__ import absolute_import from __future__ import division from __future__ import print_function from absl.testing","the License. # You may obtain a copy of the License at #","x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x + 5, 0)","\"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import division","y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity,","2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return","# distributed under the License is distributed on an \"AS IS\" BASIS, #","functions: if isinstance(r, tuple): r = function(*r) # Pass tuple as multiple arguments.","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","- 5 def increment_and_square(x): y = x + 1 return y * y","tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase,","math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates):","lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),","tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)","dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all =","for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k,","range(5): result = sess.run(get_next) r = x for function in functions: if isinstance(r,","optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda","x: x - 5 def increment_and_square(x): y = x + 1 return y","5 def increment_and_square(x): y = x + 1 return y * y take_all","tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y,","functions = [identity, increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions):","for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity,","2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def","functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests","j, k), [fun1, fun2, fun3], )) swap = lambda x, n: (n, x)","in range(5): r = map_function(x) filtered = False for predicate in predicates: if","predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions with","return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function)","j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k),","in range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r) # Pass","optimization.assert_next([\"Map\", \"Prefetch\"])) for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator","__future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops","enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for","with the License. # You may obtain a copy of the License at","tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x,","We are currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(","5, 0) tests = [] filters = [take_all, is_zero, greater] identity = lambda","x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x:","multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def","x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)","not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ ==","# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:","\"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator","x + 1 return y * y take_all = lambda x: constant_op.constant(True) is_zero","tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for","testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b)","y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\"Multi2\",","= [take_all, is_zero, is_odd, greater] tests = [] for x, fun in enumerate(functions):","dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate)","= iterator.get_next() with self.test_session() as sess: for x in range(5): r = map_function(x)","= map_function(x) filtered = False for predicate in predicates: if isinstance(r, tuple): b","for function in functions: if isinstance(r, tuple): r = function(*r) # Pass tuple","result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \"__main__\": test.main()","# limitations under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from","= predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r) if","some_tensor) # We are currently not supporting functions with additional inputs. dataset =","law or agreed to in writing, software # distributed under the License is","take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd =","the License for the specific language governing permissions and # limitations under the","lambda x: x + 1 def increment_and_square(x): y = x + 1 return",")) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for","x + 1 def increment_and_square(x): y = x + 1 return y *","function = lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor)","(x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ]))","lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0) tests","if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments. else:","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import","False for predicate in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass","from __future__ import absolute_import from __future__ import division from __future__ import print_function from","tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework","dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(","x: x for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x,","= lambda x: x for x, predicate_1 in enumerate(filters): for y, predicate_2 in","x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple, take_all_multiple]))","1 return y * y functions = [identity, increment, increment_and_square] tests = []","enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y:","with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"Filter\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate)","Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","in compliance with the License. # You may obtain a copy of the","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under","else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):","absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0) tests =","greater] identity = lambda x: x for x, predicate_1 in enumerate(filters): for y,","get_next = iterator.get_next() with self.test_session() as sess: for x in range(10): r =","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","identity = lambda x: x increment = lambda x: x + 1 minus_five","def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function,","predicate)) # Multi output tests.append((\"Multi1\", lambda x: (x, x), lambda x, y: constant_op.constant(True)))","dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate):","constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda","The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License,","as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod","predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x:","See the License for the specific language governing permissions and # limitations under","z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple =","1 minus_five = lambda x: x - 5 def increment_and_square(x): y = x","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","as multiple arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r,","predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset =","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","= function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple","y functions = [identity, increment, increment_and_square] tests = [] for i, fun1 in","for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\",","MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import division from __future__ import","in enumerate(functions): tests.append(( \"Test{}{}\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions):","parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment = lambda x:","self.test_session() as sess: for x in range(5): result = sess.run(get_next) r = x","* x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not","= iterator.get_next() with self.test_session() as sess: for x in range(5): result = sess.run(get_next)","x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x",")) swap = lambda x, n: (n, x) tests.append(( \"Swap1\", [lambda x: (x,","the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import division from __future__","[] for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \"Test{}{}\".format(i,","from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from","x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2),","enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z,","= lambda x: x + 1 minus_five = lambda x: x - 5","take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x,","predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\"filter_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next =","minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = [] for x,","Pass tuple as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered","= [] filters = [take_all, is_zero, greater] identity = lambda x: x for","arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with","dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:","from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from","[take_all_multiple, take_all_multiple])) tests.append((\"Multi2\", lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x","@parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate","sess: for x in range(5): result = sess.run(get_next) r = x for function","x for function in functions: if isinstance(r, tuple): r = function(*r) # Pass","b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x","is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2,","Version 2.0 (the \"License\"); # you may not use this file except in","except in compliance with the License. # You may obtain a copy of","the specific language governing permissions and # limitations under the License. # ==============================================================================","get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): r =","function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x:","math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset =","* y functions = [identity, increment, increment_and_square] tests = [] for i, fun1","predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda","x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap],","in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x,","tests.append(( \"Swap2\", [lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def","predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\"Map\", \"FilterByLastComponent\"])).map(function).filter(predicate).apply( optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self,","lambda x: math_ops.greater(x + 5, 0) tests = [] filters = [take_all, is_zero,","function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()","= x for function in functions: if isinstance(r, tuple): r = function(*r) #","optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","may not use this file except in compliance with the License. # You","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0) tests = []","* y take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0)","import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity","self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x","optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply(","with self.test_session() as sess: for x in range(10): r = function(x) if isinstance(r,","y, predicate_2 in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in","map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Filter\", \"Prefetch\"])).map(map_function) for predicate in predicates: dataset","under the License. # ============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import","0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater = lambda x:","identity = lambda x: x increment = lambda x: x + 1 def","tuple): r = function(*r) # Pass tuple as multiple arguments. else: r =","b = predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r)","k), [fun1, fun2, fun3], )) swap = lambda x, n: (n, x) tests.append((","is_odd, greater] tests = [] for x, fun in enumerate(functions): for y, predicate","import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import","for x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\"Mixed{}{}\".format(x, y), fun,","function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments.","self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b =","@staticmethod def map_and_filter_functions(): identity = lambda x: x increment = lambda x: x","[predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\",","dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): r","fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3], )) swap =","def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()","lambda x, y: constant_op.constant(True) # Multi output tests.append((\"Multi1\", lambda x: (x, x), [take_all_multiple,","= lambda x: x + 1 def increment_and_square(x): y = x + 1","y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) #","predicate(r) if not sess.run(b): filtered = True break if not filtered: result =","some_tensor = math_ops.mul(a, b) function = lambda x: x * x def predicate(y):","= False for predicate in predicates: if isinstance(r, tuple): b = predicate(*r) #","@staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x,","predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self):","predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r) if not","predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3]))","0) greater = lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment,","sess: for x in range(10): r = function(x) if isinstance(r, tuple): b =","= sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64)","============================================================================== \"\"\"Tests for the MapAndFilterFusion optimization.\"\"\" from __future__ import absolute_import from __future__ import","greater = lambda x: math_ops.greater(x + 5, 0) tests = [] filters =","x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters =","[fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1,","= dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for","optimization.optimize([\"map_and_filter_fusion\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero","isinstance(r, tuple): r = function(*r) # Pass tuple as multiple arguments. else: r","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","= predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def","42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply(","@staticmethod def map_functions(): identity = lambda x: x increment = lambda x: x","swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\",","constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x %","(n, x) tests.append(( \"Swap1\", [lambda x: (x, 42), swap], )) tests.append(( \"Swap2\", [lambda","= sess.run(get_next) r = x for function in functions: if isinstance(r, tuple): r","in functions: if isinstance(r, tuple): r = function(*r) # Pass tuple as multiple","dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\"map_fusion\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with","lambda x, y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y:","x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting","return y * y take_all = lambda x: constant_op.constant(True) is_zero = lambda x:","predicate_3 in enumerate(filters): tests.append((\"Mixed{}{}{}\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda","y: constant_op.constant(True))) tests.append( (\"Multi2\", lambda x: (x, 2), lambda x, y: math_ops.equal(x *",")) for k, fun3 in enumerate(functions): tests.append(( \"Test{}{}{}\".format(i, j, k), [fun1, fun2, fun3],","tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\"Map\", \"Prefetch\"])) for function in"],"string":"[\n \"as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered = True\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"not sess.run(b): filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r,\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"specific language governing permissions and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests\",\n \"tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"]))\",\n \"dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(10): r\",\n \"swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42),\",\n \"constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda\",\n \"iterator.get_next() with self.test_session() as sess: for x in range(5): r = map_function(x) filtered\",\n \"functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function,\",\n \"= [take_all, is_zero, greater] identity = lambda x: x for x, predicate_1 in\",\n \"lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x,\",\n \"predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x:\",\n \"with self.test_session() as sess: for x in range(5): r = map_function(x) filtered =\",\n \"lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self,\",\n \"constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y,\",\n \"function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def\",\n \"= iterator.get_next() with self.test_session() as sess: for x in range(10): r = function(x)\",\n \"from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from\",\n \"lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], ))\",\n \"sess.run(b): filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result)\",\n \"# We are currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply(\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"increment = lambda x: x + 1 minus_five = lambda x: x -\",\n \"fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) #\",\n \"lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater\",\n \"self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next =\",\n \"tuple as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered =\",\n \"x: math_ops.greater(x + 5, 0) tests = [] filters = [take_all, is_zero, greater]\",\n \"x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1,\",\n \"dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x * x def\",\n \"return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function\",\n \"# Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with\",\n \"= lambda x: x increment = lambda x: x + 1 def increment_and_square(x):\",\n \"x in range(5): result = sess.run(get_next) r = x for function in functions:\",\n \"self.test_session() as sess: for x in range(10): r = function(x) if isinstance(r, tuple):\",\n \"dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"]))\",\n \"isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments. else: b\",\n \"def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset\",\n \"inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def\",\n \"\\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda x, n: (n,\",\n \"+ 1 def increment_and_square(x): y = x + 1 return y * y\",\n \"tuple): b = predicate(*r) # Pass tuple as multiple arguments. else: b =\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"b = predicate(r) if not sess.run(b): filtered = True break if not filtered:\",\n \"parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op\",\n \"sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment = lambda x:\",\n \"not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"]))\",\n \"take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x *\",\n \"in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x,\",\n \"\\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self,\",\n \"arguments. else: b = predicate(r) if not sess.run(b): filtered = True break if\",\n \"predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments.\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function\",\n \"z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi\",\n \"the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import\",\n \"test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment\",\n \"as sess: for x in range(10): r = function(x) if isinstance(r, tuple): b\",\n \"tuple as multiple arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next)\",\n \"Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\",\",\n \"k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap\",\n \"fun3], )) swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x:\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"\\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator()\",\n \"increment_and_square(x): y = x + 1 return y * y functions = [identity,\",\n \"currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply(\",\n \"import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase):\",\n \"x in range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r) #\",\n \"[] filters = [take_all, is_zero, greater] identity = lambda x: x for x,\",\n \"self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"= lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap],\",\n \"predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters):\",\n \"with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64)\",\n \"dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x\",\n \"result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment\",\n \"[take_all, is_zero, is_odd, greater] tests = [] for x, fun in enumerate(functions): for\",\n \"[\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x:\",\n \"\\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True)\",\n \"multiple arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result)\",\n \"as sess: for x in range(5): result = sess.run(get_next) r = x for\",\n \"greater = lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five,\",\n \"@parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset,\",\n \"# Pass tuple as multiple arguments. else: b = predicate(r) if not sess.run(b):\",\n \"dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test\",\n \"are currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\",\",\n \"\\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator =\",\n \"predicate in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple as\",\n \"= True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):\",\n \"additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod\",\n \"[lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap,\",\n \"x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are\",\n \"x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests)\",\n \"tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [\",\n \"in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda\",\n \"n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\",\",\n \"dtypes.int64), some_tensor) # We are currently not supporting functions with additional inputs. dataset\",\n \"x for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y),\",\n \"(x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda\",\n \"All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the\",\n \"lambda x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x + 5,\",\n \"division from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization\",\n \"= lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x),\",\n \"in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset\",\n \"return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions with additional\",\n \"import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import\",\n \"optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division from __future__ import print_function\",\n \"tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),\",\n \"(x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], ))\",\n \"x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append((\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"r = function(*r) # Pass tuple as multiple arguments. else: r = function(r)\",\n \"= lambda x: math_ops.greater(x + 5, 0) tests = [] filters = [take_all,\",\n \"y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function,\",\n \"b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator\",\n \"optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x\",\n \")) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__())\",\n \"in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"sess.run(get_next) r = x for function in functions: if isinstance(r, tuple): r =\",\n \"take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__())\",\n \"dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset,\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment = lambda\",\n \"constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x * x\",\n \"def increment_and_square(x): y = x + 1 return y * y functions =\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3,\",\n \"__future__ import division from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"for x in range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r)\",\n \"math_ops.greater(x + 5, 0) tests = [] filters = [take_all, is_zero, greater] identity\",\n \"_testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as\",\n \"function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next\",\n \"x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate))\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()\",\n \"dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()\",\n \"if not sess.run(b): filtered = True break if not filtered: result = sess.run(get_next)\",\n \"return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply(\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\",\",\n \"dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()\",\n \"constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops\",\n \"range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple\",\n \"tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework\",\n \"from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda\",\n \"= dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with\",\n \"def increment_and_square(x): y = x + 1 return y * y take_all =\",\n \"x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x,\",\n \"= dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(10):\",\n \"swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"]))\",\n \"lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We\",\n \"self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment = lambda\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"range(5): r = map_function(x) filtered = False for predicate in predicates: if isinstance(r,\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import\",\n \"x: x + 1 minus_five = lambda x: x - 5 def increment_and_square(x):\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform\",\n \"[identity, increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions): for j,\",\n \"from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from\",\n \"License. # You may obtain a copy of the License at # #\",\n \"math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all,\",\n \"Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x,\",\n \"y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate):\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater\",\n \"testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset =\",\n \"= lambda x: x increment = lambda x: x + 1 minus_five =\",\n \"2, 0) greater = lambda x: math_ops.greater(x + 5, 0) functions = [identity,\",\n \"5, 0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd,\",\n \"sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a =\",\n \"increment_and_square(x): y = x + 1 return y * y take_all = lambda\",\n \"map_functions(): identity = lambda x: x increment = lambda x: x + 1\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x:\",\n \"math_ops.mul(a, b) function = lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y,\",\n \"predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with\",\n \"result = sess.run(get_next) r = x for function in functions: if isinstance(r, tuple):\",\n \"permissions and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion\",\n \"identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output\",\n \"fun2, fun3], )) swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda\",\n \"r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity =\",\n \"= lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0)\",\n \"tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda\",\n \"x: x increment = lambda x: x + 1 def increment_and_square(x): y =\",\n \"= [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests =\",\n \"predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator()\",\n \"math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater = lambda\",\n \"+ 5, 0) tests = [] filters = [take_all, is_zero, greater] identity =\",\n \"not use this file except in compliance with the License. # You may\",\n \"in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for\",\n \"x + 1 minus_five = lambda x: x - 5 def increment_and_square(x): y\",\n \"x: x increment = lambda x: x + 1 minus_five = lambda x:\",\n \"def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions\",\n \"limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__\",\n \"function(*r) # Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result)\",\n \"for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator()\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x,\",\n \"import division from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import\",\n \"import absolute_import from __future__ import division from __future__ import print_function from absl.testing import\",\n \"2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache\",\n \"fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in\",\n \"def map_functions(): identity = lambda x: x increment = lambda x: x +\",\n \"fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2],\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the\",\n \"dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply(\",\n \"math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions with additional inputs.\",\n \"dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): result\",\n \"dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions():\",\n \"j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3\",\n \"= function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda\",\n \"for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple\",\n \"in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next =\",\n \"= dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:\",\n \"0) greater = lambda x: math_ops.greater(x + 5, 0) tests = [] filters\",\n \"identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1,\",\n \"# you may not use this file except in compliance with the License.\",\n \"greater] tests = [] for x, fun in enumerate(functions): for y, predicate in\",\n \"in range(5): result = sess.run(get_next) r = x for function in functions: if\",\n \"Pass tuple as multiple arguments. else: b = predicate(r) if sess.run(b): result =\",\n \"= x + 1 return y * y functions = [identity, increment, increment_and_square]\",\n \"% 2, 0) greater = lambda x: math_ops.greater(x + 5, 0) functions =\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod\",\n \"= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset =\",\n \"lambda x: x increment = lambda x: x + 1 def increment_and_square(x): y\",\n \"<filename>tensorflow/contrib/data/python/kernel_tests/optimization/map_and_filter_fusion_test.py # Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply(\",\n \"testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates:\",\n \"License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from\",\n \"else: b = predicate(r) if not sess.run(b): filtered = True break if not\",\n \"+ 1 return y * y take_all = lambda x: constant_op.constant(True) is_zero =\",\n \"= lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square]\",\n \"from __future__ import division from __future__ import print_function from absl.testing import parameterized from\",\n \"= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function,\",\n \"identity = lambda x: x for x, predicate_1 in enumerate(filters): for y, predicate_2\",\n \"iterator.get_next() with self.test_session() as sess: for x in range(10): r = function(x) if\",\n \"= dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset\",\n \"is_zero, greater] identity = lambda x: x for x, predicate_1 in enumerate(filters): for\",\n \"filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"1 def increment_and_square(x): y = x + 1 return y * y functions\",\n \"for x in range(5): r = map_function(x) filtered = False for predicate in\",\n \"tests = [] for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions):\",\n \"# ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output\",\n \"= function(*r) # Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r,\",\n \"i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1,\",\n \"for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], ))\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"with self.test_session() as sess: for x in range(5): result = sess.run(get_next) r =\",\n \"= lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) #\",\n \"from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from\",\n \"x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x\",\n \"x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater =\",\n \"for x in range(5): result = sess.run(get_next) r = x for function in\",\n \"enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append((\",\n \"x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x\",\n \"tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i,\",\n \"lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters\",\n \"# Pass tuple as multiple arguments. else: b = predicate(r) if sess.run(b): result\",\n \"with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x increment =\",\n \"math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity =\",\n \"for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division from\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5,\",\n \"[take_all, is_zero, greater] identity = lambda x: x for x, predicate_1 in enumerate(filters):\",\n \"x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda\",\n \"= constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function =\",\n \"result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4,\",\n \"multiple arguments. else: b = predicate(r) if not sess.run(b): filtered = True break\",\n \"testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate)\",\n \"y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda\",\n \"if isinstance(r, tuple): r = function(*r) # Pass tuple as multiple arguments. else:\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"r = function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple as\",\n \"* math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset =\",\n \"increment = lambda x: x + 1 def increment_and_square(x): y = x +\",\n \"+ 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero,\",\n \"x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset\",\n \"= predicate(r) if not sess.run(b): filtered = True break if not filtered: result\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"(\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)))\",\n \"map_and_filter_functions(): identity = lambda x: x increment = lambda x: x + 1\",\n \"optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes\",\n \"[\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator =\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"x - 5 def increment_and_square(x): y = x + 1 return y *\",\n \"[] for x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y),\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import\",\n \"Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import\",\n \"[identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = []\",\n \"[lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions):\",\n \"= dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(5):\",\n \"y take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd\",\n \"functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function)\",\n \"lambda x: x + 1 minus_five = lambda x: x - 5 def\",\n \"if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a\",\n \"increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = [] for\",\n \"lambda x: x - 5 def increment_and_square(x): y = x + 1 return\",\n \"x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function,\",\n \"function in functions: if isinstance(r, tuple): r = function(*r) # Pass tuple as\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2,\",\n \"filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \\\"__main__\\\":\",\n \"break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if\",\n \"predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x:\",\n \"42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return\",\n \"dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as\",\n \"predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r) if sess.run(b):\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"= [] for x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x,\",\n \"return y * y functions = [identity, increment, increment_and_square] tests = [] for\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"\\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j,\",\n \"x increment = lambda x: x + 1 minus_five = lambda x: x\",\n \"for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator =\",\n \"is_zero, is_odd, greater] tests = [] for x, fun in enumerate(functions): for y,\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self,\",\n \"filtered = False for predicate in predicates: if isinstance(r, tuple): b = predicate(*r)\",\n \"= lambda x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x +\",\n \"tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.ops\",\n \"r = map_function(x) filtered = False for predicate in predicates: if isinstance(r, tuple):\",\n \"predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x\",\n \"b) function = lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64),\",\n \"\\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42),\",\n \"y = x + 1 return y * y take_all = lambda x:\",\n \"def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0)\",\n \"[ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests)\",\n \"self.test_session() as sess: for x in range(5): r = map_function(x) filtered = False\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"1 return y * y take_all = lambda x: constant_op.constant(True) is_zero = lambda\",\n \"get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): result =\",\n \"enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda x,\",\n \"arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions():\",\n \"[fun1, fun2, fun3], )) swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\",\",\n \"(x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x,\",\n \"from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from\",\n \"= lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0)\",\n \"self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero =\",\n \"True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"= lambda x: x - 5 def increment_and_square(x): y = x + 1\",\n \"you may not use this file except in compliance with the License. #\",\n \"sess: for x in range(5): r = map_function(x) filtered = False for predicate\",\n \"r = x for function in functions: if isinstance(r, tuple): r = function(*r)\",\n \"0) functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater]\",\n \"filters = [take_all, is_zero, is_odd, greater] tests = [] for x, fun in\",\n \"from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def\",\n \"as sess: for x in range(5): r = map_function(x) filtered = False for\",\n \"(x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__())\",\n \"fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y:\",\n \"class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment =\",\n \"print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops\",\n \"0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\",\",\n \"x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x, y:\",\n \"else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity\",\n \"Pass tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x\",\n \"enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x),\",\n \"sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor =\",\n \"math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x + 5, 0) functions\",\n \"y * y functions = [identity, increment, increment_and_square] tests = [] for i,\",\n \"tests = [] for x, fun in enumerate(functions): for y, predicate in enumerate(filters):\",\n \"= constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x *\",\n \"dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset =\",\n \"governing permissions and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the\",\n \"dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset\",\n \"* math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset\",\n \"Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"= [] for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append((\",\n \"tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z),\",\n \"map_function(x) filtered = False for predicate in predicates: if isinstance(r, tuple): b =\",\n \"(x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset =\",\n \"in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], ))\",\n \"y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x,\",\n \"increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = [] for x, fun\",\n \"function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for\",\n \"= lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda\",\n \"def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a,\",\n \"lambda x: x increment = lambda x: x + 1 minus_five = lambda\",\n \"sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b\",\n \"supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset,\",\n \"absolute_import from __future__ import division from __future__ import print_function from absl.testing import parameterized\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"y = x + 1 return y * y functions = [identity, increment,\",\n \"is_odd = lambda x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x\",\n \"tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions():\",\n \"iterator.get_next() with self.test_session() as sess: for x in range(5): result = sess.run(get_next) r\",\n \"for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun, predicate)) # Multi output tests.append((\\\"Multi1\\\",\",\n \"x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently\",\n \"[predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2,\",\n \"lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def\",\n \"output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2),\",\n \"def map_and_filter_functions(): identity = lambda x: x increment = lambda x: x +\",\n \"minus_five = lambda x: x - 5 def increment_and_square(x): y = x +\",\n \"for the specific language governing permissions and # limitations under the License. #\",\n \"x in range(5): r = map_function(x) filtered = False for predicate in predicates:\",\n \"dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x:\",\n \"function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda\",\n \"lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x:\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \"+ 1 return y * y functions = [identity, increment, increment_and_square] tests =\",\n \"x increment = lambda x: x + 1 def increment_and_square(x): y = x\",\n \"TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version\",\n \"lambda x: x for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters):\",\n \"= [identity, increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions): for\",\n \"enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y,\",\n \"= dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all\",\n \"tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x:\",\n \"x: x + 1 def increment_and_square(x): y = x + 1 return y\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"language governing permissions and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for\",\n \"lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple,\",\n \"constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x +\",\n \"x + 1 return y * y functions = [identity, increment, increment_and_square] tests\",\n \"# Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x:\",\n \"dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"# Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append(\",\n \"tests = [] filters = [take_all, is_zero, greater] identity = lambda x: x\",\n \"= math_ops.mul(a, b) function = lambda x: x * x def predicate(y): return\",\n \"dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for\",\n \"and # limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\"\",\n \"output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda\",\n \"= lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda\",\n \"filters = [take_all, is_zero, greater] identity = lambda x: x for x, predicate_1\",\n \"if not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__\",\n \"tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x:\",\n \"from tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class\",\n \"@parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions:\",\n \"def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in\",\n \"either express or implied. # See the License for the specific language governing\",\n \"for predicate in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass tuple\",\n \"\\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"]))\",\n \"increment_and_square] tests = [] for i, fun1 in enumerate(functions): for j, fun2 in\",\n \"dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors\",\n \"for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j),\",\n \"swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return tuple(tests)\",\n \"0) tests = [] filters = [take_all, is_zero, greater] identity = lambda x:\",\n \"in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next\",\n \"+ 1 minus_five = lambda x: x - 5 def increment_and_square(x): y =\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) greater =\",\n \"y * y take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x,\",\n \"= x + 1 return y * y take_all = lambda x: constant_op.constant(True)\",\n \"lambda x: (x, 2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return\",\n \"increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions): for j, fun2\",\n \"tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap = lambda x, n:\",\n \"= dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()\",\n \"tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True)\",\n \"iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in\",\n \"predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2]))\",\n \"__future__ import absolute_import from __future__ import division from __future__ import print_function from absl.testing\",\n \"the License. # You may obtain a copy of the License at #\",\n \"x: math_ops.equal(x % 2, 0) greater = lambda x: math_ops.greater(x + 5, 0)\",\n \"\\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division\",\n \"y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity,\",\n \"2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"functions: if isinstance(r, tuple): r = function(*r) # Pass tuple as multiple arguments.\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"- 5 def increment_and_square(x): y = x + 1 return y * y\",\n \"tensorflow.python.framework import errors from tensorflow.python.ops import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase,\",\n \"math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates):\",\n \"lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64),\",\n \"tuple as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next)\",\n \"dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all =\",\n \"for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k,\",\n \"range(5): result = sess.run(get_next) r = x for function in functions: if isinstance(r,\",\n \"optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda\",\n \"x: x - 5 def increment_and_square(x): y = x + 1 return y\",\n \"5 def increment_and_square(x): y = x + 1 return y * y take_all\",\n \"tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y,\",\n \"functions = [identity, increment, increment_and_square] tests = [] for i, fun1 in enumerate(functions):\",\n \"for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity,\",\n \"2), lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def\",\n \"functions = [identity, increment, minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests\",\n \"j, k), [fun1, fun2, fun3], )) swap = lambda x, n: (n, x)\",\n \"in range(5): r = map_function(x) filtered = False for predicate in predicates: if\",\n \"predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting functions with\",\n \"return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function)\",\n \"j), [fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k),\",\n \"in range(10): r = function(x) if isinstance(r, tuple): b = predicate(*r) # Pass\",\n \"optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in functions: dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator\",\n \"__future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops\",\n \"enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for\",\n \"with the License. # You may obtain a copy of the License at\",\n \"tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x,\",\n \"We are currently not supporting functions with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(\",\n \"5, 0) tests = [] filters = [take_all, is_zero, greater] identity = lambda\",\n \"x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x:\",\n \"multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def\",\n \"x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0)\",\n \"not filtered: result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ ==\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:\",\n \"\\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator\",\n \"x + 1 return y * y take_all = lambda x: constant_op.constant(True) is_zero\",\n \"tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for\",\n \"testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b)\",\n \"y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\",\",\n \"= [take_all, is_zero, is_odd, greater] tests = [] for x, fun in enumerate(functions):\",\n \"dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate)\",\n \"= iterator.get_next() with self.test_session() as sess: for x in range(5): r = map_function(x)\",\n \"= map_function(x) filtered = False for predicate in predicates: if isinstance(r, tuple): b\",\n \"for function in functions: if isinstance(r, tuple): r = function(*r) # Pass tuple\",\n \"result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) if __name__ == \\\"__main__\\\": test.main()\",\n \"# limitations under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from\",\n \"= predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r) if\",\n \"some_tensor) # We are currently not supporting functions with additional inputs. dataset =\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd =\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"lambda x: x + 1 def increment_and_square(x): y = x + 1 return\",\n \")) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for\",\n \"x + 1 def increment_and_square(x): y = x + 1 return y *\",\n \"function = lambda x: x * x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor)\",\n \"(x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x * math_ops.cast(y, dtypes.int64), 0) ]))\",\n \"lambda x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0) tests\",\n \"if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments. else:\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import\",\n \"False for predicate in predicates: if isinstance(r, tuple): b = predicate(*r) # Pass\",\n \"from __future__ import absolute_import from __future__ import division from __future__ import print_function from\",\n \"tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework import constant_op from tensorflow.python.framework\",\n \"dtypes.int64), 0))) return tuple(tests) @parameterized.named_parameters(*map_and_filter_functions.__func__()) def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next(\",\n \"x: x for x, predicate_1 in enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x,\",\n \"= lambda x: x for x, predicate_1 in enumerate(filters): for y, predicate_2 in\",\n \"x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple, take_all_multiple]))\",\n \"1 return y * y functions = [identity, increment, increment_and_square] tests = []\",\n \"enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y:\",\n \"with additional inputs. dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"Filter\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate)\",\n \"Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under\",\n \"else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError):\",\n \"absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from tensorflow.python.framework\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"x: math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0) tests =\",\n \"greater] identity = lambda x: x for x, predicate_1 in enumerate(filters): for y,\",\n \"get_next = iterator.get_next() with self.test_session() as sess: for x in range(10): r =\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"identity = lambda x: x increment = lambda x: x + 1 minus_five\",\n \"def testMapFilterFusion(self, function, predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function,\",\n \"predicate)) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), lambda x, y: constant_op.constant(True)))\",\n \"dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate):\",\n \"constant_op.constant(3, dtype=dtypes.int64) b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda\",\n \"The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License,\",\n \"as multiple arguments. else: r = function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod\",\n \"predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x:\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple =\",\n \"1 minus_five = lambda x: x - 5 def increment_and_square(x): y = x\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"as multiple arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r,\",\n \"predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset =\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"= function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple\",\n \"y functions = [identity, increment, increment_and_square] tests = [] for i, fun1 in\",\n \"for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\",\",\n \"MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division from __future__ import\",\n \"in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i, j), [fun1, fun2], )) for k, fun3 in enumerate(functions):\",\n \"parameterized.TestCase): @staticmethod def map_functions(): identity = lambda x: x increment = lambda x:\",\n \"self.test_session() as sess: for x in range(5): result = sess.run(get_next) r = x\",\n \"* x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not\",\n \"= iterator.get_next() with self.test_session() as sess: for x in range(5): result = sess.run(get_next)\",\n \"x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x\",\n \")) swap = lambda x, n: (n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x,\",\n \"the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import division from __future__\",\n \"[] for i, fun1 in enumerate(functions): for j, fun2 in enumerate(functions): tests.append(( \\\"Test{}{}\\\".format(i,\",\n \"from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import dataset_ops from\",\n \"x: (x, x), lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2),\",\n \"enumerate(filters): for y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z,\",\n \"= lambda x: x + 1 minus_five = lambda x: x - 5\",\n \"take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x,\",\n \"predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply( optimization.optimize([\\\"filter_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next =\",\n \"minus_five, increment_and_square] filters = [take_all, is_zero, is_odd, greater] tests = [] for x,\",\n \"Pass tuple as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered\",\n \"= [] filters = [take_all, is_zero, greater] identity = lambda x: x for\",\n \"arguments. else: b = predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with\",\n \"dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess:\",\n \"from __future__ import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from\",\n \"[take_all_multiple, take_all_multiple])) tests.append((\\\"Multi2\\\", lambda x: (x, 2), [ take_all_multiple, lambda x, y: math_ops.equal(x\",\n \"@parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate\",\n \"sess: for x in range(5): result = sess.run(get_next) r = x for function\",\n \"x for function in functions: if isinstance(r, tuple): r = function(*r) # Pass\",\n \"b = constant_op.constant(4, dtype=dtypes.int64) some_tensor = math_ops.mul(a, b) function = lambda x: x\",\n \"is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x % 2,\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"the specific language governing permissions and # limitations under the License. # ==============================================================================\",\n \"get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): r =\",\n \"function(r) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x:\",\n \"math_ops.cast(y, dtypes.int64), 0) ])) return tuple(tests) @parameterized.named_parameters(*filter_functions.__func__()) def testFilterFusion(self, map_function, predicates): dataset =\",\n \"* y functions = [identity, increment, increment_and_square] tests = [] for i, fun1\",\n \"predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda\",\n \"x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap],\",\n \"in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x,\",\n \"tests.append(( \\\"Swap2\\\", [lambda x: (x, 42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def\",\n \"predicate): dataset = dataset_ops.Dataset.range(10).apply( optimization.assert_next( [\\\"Map\\\", \\\"FilterByLastComponent\\\"])).map(function).filter(predicate).apply( optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self,\",\n \"lambda x: math_ops.greater(x + 5, 0) tests = [] filters = [take_all, is_zero,\",\n \"function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next()\",\n \"= x for function in functions: if isinstance(r, tuple): r = function(*r) #\",\n \"optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"may not use this file except in compliance with the License. # You\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"math_ops.equal(x, 0) greater = lambda x: math_ops.greater(x + 5, 0) tests = []\",\n \"* y take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0)\",\n \"import math_ops from tensorflow.python.platform import test class MapAndFilterFusionTest(test.TestCase, parameterized.TestCase): @staticmethod def map_functions(): identity\",\n \"self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) @staticmethod def map_and_filter_functions(): identity = lambda x: x\",\n \"optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset = dataset.filter(predicate) dataset = dataset.prefetch(0).apply(\",\n \"with self.test_session() as sess: for x in range(10): r = function(x) if isinstance(r,\",\n \"y, predicate_2 in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), identity, [predicate_1, predicate_2])) for z, predicate_3 in\",\n \"map_function, predicates): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Filter\\\", \\\"Prefetch\\\"])).map(map_function) for predicate in predicates: dataset\",\n \"under the License. # ============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import\",\n \"0) is_odd = lambda x: math_ops.equal(x % 2, 0) greater = lambda x:\",\n \"identity = lambda x: x increment = lambda x: x + 1 def\",\n \"tuple): r = function(*r) # Pass tuple as multiple arguments. else: r =\",\n \"b = predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r)\",\n \"k), [fun1, fun2, fun3], )) swap = lambda x, n: (n, x) tests.append((\",\n \"is_odd, greater] tests = [] for x, fun in enumerate(functions): for y, predicate\",\n \"import print_function from absl.testing import parameterized from tensorflow.contrib.data.python.ops import optimization from tensorflow.python.data.ops import\",\n \"for x, fun in enumerate(functions): for y, predicate in enumerate(filters): tests.append((\\\"Mixed{}{}\\\".format(x, y), fun,\",\n \"function(x) if isinstance(r, tuple): b = predicate(*r) # Pass tuple as multiple arguments.\",\n \"self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64) b =\",\n \"@staticmethod def map_and_filter_functions(): identity = lambda x: x increment = lambda x: x\",\n \"[predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\",\",\n \"dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for x in range(5): r\",\n \"fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3], )) swap =\",\n \"def _testMapAndFilter(self, dataset, function, predicate): iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session()\",\n \"lambda x, y: constant_op.constant(True) # Multi output tests.append((\\\"Multi1\\\", lambda x: (x, x), [take_all_multiple,\",\n \"= lambda x: x + 1 def increment_and_square(x): y = x + 1\",\n \"y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda x, y: constant_op.constant(True) #\",\n \"predicate(r) if not sess.run(b): filtered = True break if not filtered: result =\",\n \"some_tensor = math_ops.mul(a, b) function = lambda x: x * x def predicate(y):\",\n \"= False for predicate in predicates: if isinstance(r, tuple): b = predicate(*r) #\",\n \"@staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero = lambda x: math_ops.equal(x,\",\n \"predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self):\",\n \"predicate(*r) # Pass tuple as multiple arguments. else: b = predicate(r) if not\",\n \"predicate_2])) for z, predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3]))\",\n \"0) greater = lambda x: math_ops.greater(x + 5, 0) functions = [identity, increment,\",\n \"sess: for x in range(10): r = function(x) if isinstance(r, tuple): b =\",\n \"= sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def testAdditionalInputs(self): a = constant_op.constant(3, dtype=dtypes.int64)\",\n \"============================================================================== \\\"\\\"\\\"Tests for the MapAndFilterFusion optimization.\\\"\\\"\\\" from __future__ import absolute_import from __future__ import\",\n \"greater = lambda x: math_ops.greater(x + 5, 0) tests = [] filters =\",\n \"x: math_ops.greater(x + 5, 0) functions = [identity, increment, minus_five, increment_and_square] filters =\",\n \"[fun1, fun2], )) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1,\",\n \"= dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with self.test_session() as sess: for\",\n \"optimization.optimize([\\\"map_and_filter_fusion\\\"])) self._testMapAndFilter(dataset, function, predicate) @staticmethod def filter_functions(): take_all = lambda x: constant_op.constant(True) is_zero\",\n \"isinstance(r, tuple): r = function(*r) # Pass tuple as multiple arguments. else: r\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"= predicate(r) if sess.run(b): result = sess.run(get_next) self.assertAllEqual(r, result) with self.assertRaises(errors.OutOfRangeError): sess.run(get_next) def\",\n \"42), swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply(\",\n \"@staticmethod def map_functions(): identity = lambda x: x increment = lambda x: x\",\n \"swap, swap], )) return tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\",\",\n \"constant_op.constant(True) is_zero = lambda x: math_ops.equal(x, 0) is_odd = lambda x: math_ops.equal(x %\",\n \"(n, x) tests.append(( \\\"Swap1\\\", [lambda x: (x, 42), swap], )) tests.append(( \\\"Swap2\\\", [lambda\",\n \"= sess.run(get_next) r = x for function in functions: if isinstance(r, tuple): r\",\n \"in functions: if isinstance(r, tuple): r = function(*r) # Pass tuple as multiple\",\n \"dataset = dataset.map(function) dataset = dataset.prefetch(0).apply(optimization.optimize([\\\"map_fusion\\\"])) iterator = dataset.make_one_shot_iterator() get_next = iterator.get_next() with\",\n \"lambda x, y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y:\",\n \"x def predicate(y): return math_ops.less(math_ops.cast(y, dtypes.int64), some_tensor) # We are currently not supporting\",\n \"return y * y take_all = lambda x: constant_op.constant(True) is_zero = lambda x:\",\n \"predicate_3 in enumerate(filters): tests.append((\\\"Mixed{}{}{}\\\".format(x, y, z), identity, [predicate_1, predicate_2, predicate_3])) take_all_multiple = lambda\",\n \"y: constant_op.constant(True))) tests.append( (\\\"Multi2\\\", lambda x: (x, 2), lambda x, y: math_ops.equal(x *\",\n \")) for k, fun3 in enumerate(functions): tests.append(( \\\"Test{}{}{}\\\".format(i, j, k), [fun1, fun2, fun3],\",\n \"tuple(tests) @parameterized.named_parameters(*map_functions.__func__()) def testMapFusion(self, functions): dataset = dataset_ops.Dataset.range(5).apply( optimization.assert_next([\\\"Map\\\", \\\"Prefetch\\\"])) for function in\"\n]","isConversational":false}}},{"rowIdx":793,"cells":{"ngram":{"kind":"list like","value":["= data[i] c = chr(b) if c == \"\\n\": count_lines += 1 elif","emulator including the header. This is intended for saved .egv files which include","intended for saved .egv files which include a default header. \"\"\" if self.header_skipped:","\"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=","c == \"L\": # Move to Top if not self.top and not self.horizontal_major:","state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True elif","# Home sequence triggered by 2 P commands in the same packet. #","finished all commands are black holed return if ord(\"0\") <= b <= ord(\"9\"):","+= dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel:","triggered by 2 P commands in the same packet. # This should resume","located within the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x =","= 0 self.left = False self.top = False self.x_on = False self.y_on =","State\") if self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state","command in compact state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump","= \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value)","3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value = \"\"","= False self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step =","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c):","= dict(parser.settings) def position(p): if p is None or self._cut is None: new_cut()","self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if","%s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def","0 for i in range(len(data)): b = data[i] c = chr(b) if c","data to the emulator including the header. This is intended for saved .egv","len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value =","self.position: self.position(None) elif c == \"M\": self.x_on = True self.y_on = True if","self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path,","0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1 if","def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs):","= LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut is","switched to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top =","p is None: return from_x, from_y, to_x, to_y = p if self.program_mode: if","self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer","elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in","def header_write(self, data): \"\"\" Write data to the emulator including the header. This","self.channel(\"N\") self.execute_distance() # distance is executed by an N command. self.laser = 0","def write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value","moves position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on","%d\" % (dx, dy, self.x, self.y)) def process(self, b, c): if c ==","self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel:","= \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value)","elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting","by a P command self.paused_state = True elif c == \"N\": if self.channel:","a state diagram. This should accurately reconstruct the values. When the position is","self.returning_finished = False self.returning_compact = True self.laser = 0 elif c == \"P\":","packet. # This should resume if not located within the same packet. if","self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step = None if","if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on =","**kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet)","0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i in","self.top and not self.horizontal_major: # Was R switched to L with vertical rastering.","elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state","= self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0","% self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self,","y0, x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def","\"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename, )","class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This should","or self._cut is None: new_cut() return from_x, from_y, to_x, to_y = p if","self.y_on = True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0","executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\")","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value","self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state = True if","-dy self.distance_x = 0 self.distance_y = 0 ox = self.x oy = self.y","# distance is executed by an N command. self.laser = 0 self.compact_state =","self.returning_compact = False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\"","**kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet)","= self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if","name=None): self.name = name self.data = data self.operation = \"blob\" self._cutcode = None","raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag =","= self.x oy = self.y self.x += dx self.y += dy if self.position:","Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False)","self.finish_state = True self.paused_state = False else: self.execute_distance() # distance is executed by","0 self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major = False","if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def","c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c ==","return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self):","elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False","self.distance_y if self.left: dx = -dx if self.top: dy = -dy self.distance_x =","False if self.channel: self.channel(\"Left\") elif c == \"R\": # Move to Bottom if","if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem","for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if","if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on =","True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact =","LHYMicro-GL code with a state diagram. This should accurately reconstruct the values. When","\"\" if self.compact_state: # Every command in compact state executes distances. self.execute_distance() if","self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut","def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self):","in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c","0: # Homes then moves position. pass elif self.mode == 1: self.compact_state =","is None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1,","False self.returning_compact = True self.laser = 0 elif c == \"P\": if self.channel:","speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1","False self.returning_finished = True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished =","within the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0","False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c","self.top = not self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x","yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag","self.channel(\"Left\") elif c == \"R\": # Move to Bottom if self.top and not","with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on =","self.paused_state = False self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In","self.left = True self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\") elif","if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value =","**self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return","def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser =","= None self._cutcode = None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data)","RawCut() def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut =","0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property","0.0 self.y = 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y = 0","elif c == \"B\": # Move to Right. if self.left and self.horizontal_major: #","\"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >=","= True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left","Was L switched to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step","= False self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c","with a state diagram. This should accurately reconstruct the values. When the position","0)) self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x = 0","This should resume if not located within the same packet. if self.position: self.position((self.x,","0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state = False","self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p","def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\")","reconstruct the values. When the position is changed it calls a self.position() function","sequence triggered by 2 P commands in the same packet. # This should","Right. if self.left and self.horizontal_major: # Was T switched to B with horizontal","self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step = None if self.channel:","LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser =","\"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value =","self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c ==","= \"\" self.laser = 0 self.left = False self.top = False self.x_on =","= self.distance_x dy = self.distance_y if self.left: dx = -dx if self.top: dy","at %d %d\" % (dx, dy, self.x, self.y)) def process(self, b, c): if","True if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to Top if","= self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is","True self.y_on = False if self.channel: self.channel(\"Right\") elif c == \"T\": # Move","to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False","\"L\": # Move to Top if not self.top and not self.horizontal_major: # Was","0 ox = self.x oy = self.y self.x += dx self.y += dy","send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send =","x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position =","self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In finished all commands","return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel,","count_flag >= 5: return data[i:] def header_write(self, data): \"\"\" Write data to the","0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y = 0 self.filename = \"\"","switched to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left =","= None self.x = 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x =","= False self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In finished","\"\" self.distance_x = 0 self.distance_y = 0 self.filename = \"\" self.laser = 0","= \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value)","self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self,","When the position is changed it calls a self.position() function if one exists.","name self.data = data self.operation = \"blob\" self._cutcode = None self._cut = None","with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\",","dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now","self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on = True","y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos","self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state","self.context.channel(\"lhy\") def pos(p): if p is None: return x0, y0, x1, y1 =","not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped","= not self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y +=","self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer","= self.context.channel(\"lhy\") def pos(p): if p is None: return x0, y0, x1, y1","# In finished all commands are black holed return if ord(\"0\") <= b","to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True","self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command in compact state executes","self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode ==","meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from","data: bytearray, name=None): self.name = name self.data = data self.operation = \"blob\" self._cutcode","= False self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y =","Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename =","else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def __init__(self, data:","self.position() function if one exists. \"\"\" def __init__(self): self.channel = None self.position =","chr(b) if c == \"\\n\": count_lines += 1 elif c == \"%\": count_flag","c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step =","return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode","elif c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c","L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on","== \"T\": # Move to Left if not self.left and self.horizontal_major: # Was","elif self.mode == 0: # Homes then moves position. pass elif self.mode ==","def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode","self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on = False if","c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"):","self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\"","**kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch =","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value)","+ str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished","self.raster_step elif self.mode == 0: # Homes then moves position. pass elif self.mode","self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines","self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top","if self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact =","if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c == \"@\":","self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c == \"B\": #","self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d %d\" % (dx,","self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: # Every","self.horizontal_major: # Was T switched to B with horizontal rastering. if self.raster_step: self.distance_y","self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state","self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26","and not self.horizontal_major: # Was R switched to L with vertical rastering. if","3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def","def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" %","new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) ==","c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode =","P command self.paused_state = True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance()","self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d %d\"","= 0 if self.finish_state: # In finished all commands are black holed return","not self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x += self.raster_step","elif c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif","int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c","by 2 P commands in the same packet. # This should resume if","B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self,","self.left and self.horizontal_major: # Was T switched to B with horizontal rastering. if","self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c in \"C\": if","= 0 ox = self.x oy = self.y self.x += dx self.y +=","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c","os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\")","CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import","*args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active)","self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context =","pass elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel:","elements): self.path = Numpath() def position(p): if p is None: return from_x, from_y,","c): if c == \"I\": self.finish_state = False self.compact_state = False self.paused_state =","self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d %d\" % (dx, dy,","This is intended for saved .egv files which include a default header. \"\"\"","# Move to Right. if self.left and self.horizontal_major: # Was T switched to","= context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with","numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property","if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value","b, c): if c == \"I\": self.finish_state = False self.compact_state = False self.paused_state","import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import","\"%\": count_flag += 1 if count_lines >= 3 and count_flag >= 5: return","self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser","# Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser","self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value))","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value +=","self.operation = \"blob\" self._cutcode = None self._cut = None def __repr__(self): return \"EGV(%s,","self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None:","False self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In finished all","p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser)","packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0","= Numpath() def position(p): if p is None: return from_x, from_y, to_x, to_y","self._cutcode = None self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\" %","elif c == \"L\": # Move to Top if not self.top and not","vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False","== \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c","P commands in the same packet. # This should resume if not located","self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL","then moves position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major =","if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode","self.x_on = False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" %","if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value","self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c","+= self.raster_step self.top = False self.x_on = False self.y_on = True if self.channel:","+= 1 if count_lines >= 3 and count_flag >= 5: return data[i:] def","in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step","self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode","True self.y_on = True if self.channel: a = \"Top\" if self.top else \"Bottom\"",">= 3 and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave","self.channel(\"Top\") elif c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif","self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif","self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def","meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements","= False self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode =","False self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y = 0","# Was R switched to L with vertical rastering. if self.raster_step: self.distance_x +=","same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y =","count_lines >= 3 and count_flag >= 5: return data[i:] def header_write(self, data): \"\"\"","self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add(","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c):","Was T switched to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step","self.paused_state = False else: self.execute_distance() # distance is executed by a P command","self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer","self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x dy","= LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is","data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c","self.number_consumer = {} def parse(self, data, elements): self.path = Numpath() def position(p): if","== \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None","self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds","from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context,","basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add(","self.y_on = False if self.channel: self.channel(\"Left\") elif c == \"R\": # Move to","bytearray, name=None): self.name = name self.data = data self.operation = \"blob\" self._cutcode =","black holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer","len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def","% active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active","include a default header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data)","self.finish_state: # In finished all commands are black holed return if ord(\"0\") <=","self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\"","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value)","load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import","LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This should accurately","self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif","% active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state","self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y = 0 if","type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state","False self.returning_compact = False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code =","an N command. self.laser = 0 self.compact_state = False if self.position: self.position(None) elif","__repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context = self.context active","self.data = data self.operation = \"blob\" self._cutcode = None self._cut = None def","0 self.distance_x = 0 self.finish_state = True self.paused_state = False else: self.execute_distance() #","False if self.channel: self.channel(\"Right\") elif c == \"T\": # Move to Left if","= False self.returning_compact = True self.laser = 0 elif c == \"P\": if","False self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\") elif c ==","= {} def parse(self, data, elements): self.path = Numpath() def position(p): if p","c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value","<= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state:","\"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob:","1 elif c == \"%\": count_flag += 1 if count_lines >= 3 and","+= amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0","if self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x dy =","def __init__(self, data: bytearray, name=None): self.name = name self.data = data self.operation =","if p is None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0,","5: return data[i:] def header_write(self, data): \"\"\" Write data to the emulator including","values. When the position is changed it calls a self.position() function if one","= \"blob\" self._cutcode = None self._cut = None def __repr__(self): return \"EGV(%s, %d","%s\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name =","def pos(p): if p is None: return x0, y0, x1, y1 = p","None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1))","= position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0)","if self.compact_state: # Every command in compact state executes distances. self.execute_distance() if c","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value","= False self.number_consumer = {} def parse(self, data, elements): self.path = Numpath() def","data[i] c = chr(b) if c == \"\\n\": count_lines += 1 elif c","self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked.","return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data):","= 0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i","2: # Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True","else: # vertical major self.top = not self.top self.x_on = False self.y_on =","amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or","if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step = None","b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if","On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished =","self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence triggered by 2","self.horizontal_major: # Was L switched to R with vertical rastering. if self.raster_step: self.distance_x","self.distance_x = 0 self.distance_y = 0 ox = self.x oy = self.y self.x","data self.operation = \"blob\" self._cutcode = None self._cut = None def __repr__(self): return","True self.y_on = False if self.channel: self.channel(\"Left\") elif c == \"R\": # Move","dy, self.x, self.y)) def process(self, b, c): if c == \"I\": self.finish_state =","self.y_on = True if self.channel: a = \"Top\" if self.top else \"Bottom\" b","speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel","for i in range(len(data)): b = data[i] c = chr(b) if c ==","if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","= self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser:","self.mode = None self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute","= \"\" elif c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer","c == \"T\": # Move to Left if not self.left and self.horizontal_major: #","self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left =","in compact state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump =","dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving","Move to Left if not self.left and self.horizontal_major: # Was T switched to","None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel:","a = \"Top\" if self.top else \"Bottom\" b = \"Left\" if self.left else","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value","parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut()","self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y","-dx if self.top: dy = -dy self.distance_x = 0 self.distance_y = 0 ox","a self.position() function if one exists. \"\"\" def __init__(self): self.channel = None self.position","if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value =","= LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in","self.compact_state: # Every command in compact state executes distances. self.execute_distance() if c ==","self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount):","are black holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else:","self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements):","executed by an N command. self.laser = 0 self.compact_state = False if self.position:","\"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence triggered by","Dratio b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def","self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state = False else:","self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on = True if","self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped =","def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster","0 self.finish_state = True self.paused_state = False else: self.execute_distance() # distance is executed","self.x_on = True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: #","pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context =","\"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename","def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod def","self.channel: self.channel(\"Left\") elif c == \"R\": # Move to Bottom if self.top and","\"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence triggered","= True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: # vertical","self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer","if self.paused_state: # Home sequence triggered by 2 P commands in the same","= True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0 if","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value +=","chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value","self.y self.x += dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y))","False self.top = False self.x_on = False self.y_on = False self.small_jump = False","= True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact","is None or self._cut is None: new_cut() return from_x, from_y, to_x, to_y =","if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on =","p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\"","self.x_on = False self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished","self.left: dx = -dx if self.top: dy = -dy self.distance_x = 0 self.distance_y","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value","0: dx = self.distance_x dy = self.distance_y if self.left: dx = -dx if","R switched to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top","self.distance_y = 0 self.filename = \"\" self.laser = 0 self.left = False self.top","+= self.raster_step self.top = True self.x_on = False self.y_on = True if self.channel:","self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel:","speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value +=","= 0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1","path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\")","Numpath() def position(p): if p is None: return from_x, from_y, to_x, to_y =","if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer =","+= self.raster_step else: # vertical major self.top = not self.top self.x_on = False","= None self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\")","active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send","\"M\": self.x_on = True self.y_on = True if self.channel: a = \"Top\" if","0 self.filename = \"\" self.laser = 0 self.left = False self.top = False","self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\",","self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel:","packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self,","def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x","append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def","self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines","= True self.paused_state = False else: self.execute_distance() # distance is executed by a","Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context,","as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename, ) return","self.x oy = self.y self.x += dx self.y += dy if self.position: self.position((ox,","def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut():","rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on",".egv files which include a default header. \"\"\" if self.header_skipped: self.write(data) else: data","if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to Top if not","== 2: # Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact =","calls a self.position() function if one exists. \"\"\" def __init__(self): self.channel = None","= 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x =","self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\") elif c == \"T\":","if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step","self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2: #","parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None","context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a","None: new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot)","= False if self.channel: self.channel(\"Left\") elif c == \"R\": # Move to Bottom","self.y_on = True if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to","# This should resume if not located within the same packet. if self.position:",">= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\"","L switched to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top","if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else:","data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 =","This should accurately reconstruct the values. When the position is changed it calls","None self._cutcode = None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class","send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code","if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","self.number_value = \"\" if self.compact_state: # Every command in compact state executes distances.","\"R\": # Move to Bottom if self.top and not self.horizontal_major: # Was L","context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active =","Was R switched to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step","self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 -","(self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut()","self.returning_finished = False self.returning_compact = False elif c in \"C\": if self.channel: self.channel(\"Speedcode\")","self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or self.distance_y !=","self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings)","self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code","c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif","= self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context","False self.number_consumer = {} def parse(self, data, elements): self.path = Numpath() def position(p):","@staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname,","c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value)","= False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def parse(self,","Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer =","self._cut = None self._cutcode = None return cutcode def generate(self): yield \"blob\", \"egv\",","self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state","True self.returning_finished = False self.returning_compact = True self.laser = 0 elif c ==","\"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0","= RawCut() def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut","count_flag = 0 for i in range(len(data)): b = data[i] c = chr(b)","should resume if not located within the same packet. if self.position: self.position((self.x, self.y,","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value","def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context = self.context","= True if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to Top","# vertical major self.top = not self.top self.x_on = False self.y_on = True","return from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y),","self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser =","data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier,","unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser = 0","active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser","function if one exists. \"\"\" def __init__(self): self.channel = None self.position = None","False self.paused_state = False self.distance_x = 0 self.distance_y = 0 if self.finish_state: #","\"\\n\": count_lines += 1 elif c == \"%\": count_flag += 1 if count_lines","3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value","self.channel: a = \"Top\" if self.top else \"Bottom\" b = \"Left\" if self.left","self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","= False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif","== \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an N","horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True","return data[i:] def header_write(self, data): \"\"\" Write data to the emulator including the","= False self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer =","\"blob\" self._cutcode = None self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\"","c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif","255) self.small_jump = False elif c == \"B\": # Move to Right. if","parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None","+= amount def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx","from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x),","+= c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c):","= 0 self.distance_y = 0 if self.finish_state: # In finished all commands are","20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value","oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d %d\" %","c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel =","amount def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx =","5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def","\"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p):","len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step =","False elif c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False","a P command self.paused_state = True elif c == \"N\": if self.channel: self.channel(\"N\")","if self.top: dy = -dy self.distance_x = 0 self.distance_y = 0 ox =","+= dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d)","def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode","\"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state =","files which include a default header. \"\"\" if self.header_skipped: self.write(data) else: data =","= 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c == \"E\":","path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\"","= self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","if self.small_jump else 255) self.small_jump = False elif c == \"B\": # Move","rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on","0 if self.paused_state: # Home sequence triggered by 2 P commands in the","= \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class","y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self):","Move to Bottom if self.top and not self.horizontal_major: # Was L switched to","self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on = False if","return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer",">= 3 and count_flag >= 5: return data[i:] def header_write(self, data): \"\"\" Write","self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move to Top if not self.top","% (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name","elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f:","if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step","3 and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\",","elif c == \"%\": count_flag += 1 if count_lines >= 3 and count_flag",">= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\"","= self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self,","if self.position: self.position(None) elif c == \"M\": self.x_on = True self.y_on = True","self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" %","= int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value +=","to the emulator including the header. This is intended for saved .egv files","= 1 if self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\")","generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0","path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds","is executed by a P command self.paused_state = True elif c == \"N\":","0 self.compact_state = False if self.position: self.position(None) elif c == \"M\": self.x_on =","Write data to the emulator including the header. This is intended for saved","def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut()","self.horizontal_major: self.left = not self.left self.x_on = True self.y_on = False if self.raster_step:","c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif","if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an N command. self.laser","self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\") elif c == \"U\":","class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data = data","False self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state = False","self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence triggered by 2 P","self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y =","self.execute_distance() # distance is executed by an N command. self.laser = 0 self.compact_state","None self.x = 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x = 0","def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0","self.filename = \"\" self.laser = 0 self.left = False self.top = False self.x_on","self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d","= \"Top\" if self.top else \"Bottom\" b = \"Left\" if self.left else \"Right\"","= False self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements): self.path","Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self,","if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value +=","self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode","and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p","self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements): self.path = Numpath()","if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c in \"C\":","self._cutcode = None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader:","self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer","i in range(len(data)): b = data[i] c = chr(b) if c == \"\\n\":","= 0 if self.paused_state: # Home sequence triggered by 2 P commands in","c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\":","len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c","\"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\":","self.channel: self.channel(\"Right\") elif c == \"T\": # Move to Left if not self.left","c == \"B\": # Move to Right. if self.left and self.horizontal_major: # Was","if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings =","stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self):","\"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >=","self.distance_x += self.raster_step elif self.mode == 0: # Homes then moves position. pass","self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","= self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if","position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None return cutcode","cutcode = self._cutcode self._cut = None self._cutcode = None return cutcode def generate(self):","header. This is intended for saved .egv files which include a default header.","= p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y),","<reponame>jpirnay/meerk40t<gh_stars>0 from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import","\"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This should accurately reconstruct","@property def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0) !=","commands in the same packet. # This should resume if not located within","vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False","all commands are black holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c)","c == \"%\": count_flag += 1 if count_lines >= 3 and count_flag >=","if not located within the same packet. if self.position: self.position((self.x, self.y, 0, 0))","@property def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False","\"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c in","= False elif c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump =","self.paused_state: # Home sequence triggered by 2 P commands in the same packet.","self.left = False self.top = False self.x_on = False self.y_on = False self.small_jump","True self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state = False","self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if","if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position","in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >=","if p is None or self._cut is None: new_cut() return from_x, from_y, to_x,","= 0 self.finish_state = True self.paused_state = False else: self.execute_distance() # distance is","= False self.returning_finished = True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished","= 0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if","True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes then","self.returning_finished = True elif c == \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False","self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x","if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2: # Rail","return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context = self.context active =","False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0","= False self.returning_compact = False elif c in \"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code","self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer","RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None or self._cut is","context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds =","= CutCode() self._cut = RawCut() def new_cut(): if self._cut is not None and","the emulator including the header. This is intended for saved .egv files which","\"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value)","(\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname)","commands are black holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return","self.number_value = \"\" self.distance_x = 0 self.distance_y = 0 self.filename = \"\" self.laser","Top if not self.top and not self.horizontal_major: # Was R switched to L","raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step","None or self._cut is None: new_cut() return from_x, from_y, to_x, to_y = p","the position is changed it calls a self.position() function if one exists. \"\"\"","= self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\"","self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer =","is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if","if count_lines >= 3 and count_flag >= 5: return data[i:] def header_write(self, data):","position is changed it calls a self.position() function if one exists. \"\"\" def","Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\"","position(p): if p is None: return from_x, from_y, to_x, to_y = p if","self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True","class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i","= 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y =","= None self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name,","= name self.data = data self.operation = \"blob\" self._cutcode = None self._cut =","False if self.position: self.position(None) elif c == \"M\": self.x_on = True self.y_on =","the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y","% self.name def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send","self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\", 0)","% (dx, dy, self.x, self.y)) def process(self, b, c): if c == \"I\":","def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount","%d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode()","1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value","self.distance_x = 0 self.finish_state = True self.paused_state = False else: self.execute_distance() # distance","self.compact_state = False if self.position: self.position(None) elif c == \"M\": self.x_on = True","c == \"\\n\": count_lines += 1 elif c == \"%\": count_flag += 1","= self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None: return x0,","self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0,","= 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y = 0 self.filename =","= True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\"))","False self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds = False","if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or self.distance_y","def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser()","self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\")","self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x dy = self.distance_y","self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser = 0 elif","Bottom if self.top and not self.horizontal_major: # Was L switched to R with","if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1 if self.channel:","Dratio b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def","True if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on = False","# Was L switched to R with vertical rastering. if self.raster_step: self.distance_x +=","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c","= self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y","= \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings =","= \"\" if self.compact_state: # Every command in compact state executes distances. self.execute_distance()","self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on","int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut =","self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for","self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\"","self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" %","self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else:","the values. When the position is changed it calls a self.position() function if","self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","self.raster_step self.left = False self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\")","and self.horizontal_major: # Was T switched to B with horizontal rastering. if self.raster_step:","if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL)","c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2","self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c):","= 0 self.distance_y = 0 ox = self.x oy = self.y self.x +=","self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: #","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value =","if self.channel: a = \"Top\" if self.top else \"Bottom\" b = \"Left\" if","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value =","c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home","B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on","now at %d %d\" % (dx, dy, self.x, self.y)) def process(self, b, c):","\"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31])","= True self.y_on = False if self.channel: self.channel(\"Left\") elif c == \"R\": #","= 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code =","\"Top\" if self.top else \"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal","if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on = False if","self.top = False self.x_on = False self.y_on = False self.small_jump = False self.returning_compact","\"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a,","vertical major self.top = not self.top self.x_on = False self.y_on = True if","self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x","if self.channel: self.channel(\"Moving (%d %d) now at %d %d\" % (dx, dy, self.x,","\"\"\" def __init__(self): self.channel = None self.position = None self.board = \"M2\" self.header_skipped","self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None: return x0, y0,","self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if","== \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state","def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode","c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1",">= 3: if self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value)","= True self.laser = 0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser","self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished","import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel","not self.top and not self.horizontal_major: # Was R switched to L with vertical","2 P commands in the same packet. # This should resume if not","header_write(self, data): \"\"\" Write data to the emulator including the header. This is","= %s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer","0 self.distance_y = 0 ox = self.x oy = self.y self.x += dx","None self.position = None self.board = \"M2\" self.header_skipped = False self.count_lines = 0","if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y","def __init__(self): self.channel = None self.position = None self.board = \"M2\" self.header_skipped =","self.y = 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y = 0 self.filename","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c","% self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value +=","= False self.y_on = True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser","bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut","% (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut =","to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x),","= False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\":","== \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: # Home sequence","count_lines = 0 count_flag = 0 for i in range(len(data)): b = data[i]","True self.paused_state = False else: self.execute_distance() # distance is executed by a P","def parse(self, data, elements): self.path = Numpath() def position(p): if p is None:","= self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode == 2:","elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True","+= 1 elif c == \"%\": count_flag += 1 if count_lines >= 3","= \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount","process(self, b, c): if c == \"I\": self.finish_state = False self.compact_state = False","with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on =","return from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0:","executed by a P command self.paused_state = True elif c == \"N\": if","%d) now at %d %d\" % (dx, dy, self.x, self.y)) def process(self, b,","amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self):","which include a default header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data)","T switched to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left","None self.board = \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0","def position(p): if p is None: return from_x, from_y, to_x, to_y = p","3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value = \"\"","self.top = True self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\") elif","\"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >=","self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if","parses LHYMicro-GL code with a state diagram. This should accurately reconstruct the values.","False elif c == \"B\": # Move to Right. if self.left and self.horizontal_major:",">= 1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode = int(self.number_value)","= 0 self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state =","p is None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0,","<= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif","True self.laser = 0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser =","h=\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state = True","self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if","False self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step = 0","self.channel = None self.position = None self.board = \"M2\" self.header_skipped = False self.count_lines","if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes then moves","count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\"","Axis: h=\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state =","LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data:","== \"%\": count_flag += 1 if count_lines >= 3 and count_flag >= 5:","c = chr(b) if c == \"\\n\": count_lines += 1 elif c ==","self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state","= self.distance_y if self.left: dx = -dx if self.top: dy = -dy self.distance_x","def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\"","send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This","self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b,","+= 1 if count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod","self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","= RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None or self._cut","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value +=","b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value)",">= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c if","False else: self.execute_distance() # distance is executed by a P command self.paused_state =","c == \"I\": self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x","\"\"\" Write data to the emulator including the header. This is intended for","self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value","self.left = not self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y","active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs):","# Move to Bottom if self.top and not self.horizontal_major: # Was L switched","0, 0)) self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x =","self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c in \"C\": if self.channel:","import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import","@staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname,","True self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\") elif c ==",">= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\"","+ 1 - ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26 if","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value","if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value)","with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on =","0 count_flag = 0 for i in range(len(data)): b = data[i] c =",") elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return not","= Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y =","elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state: #","if self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state =","False self.x_on = False self.y_on = False self.small_jump = False self.returning_compact = True","Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self,","dy = self.distance_y if self.left: dx = -dx if self.top: dy = -dy","= False self.top = False self.x_on = False self.y_on = False self.small_jump =","context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class","!= 0: dx = self.distance_x dy = self.distance_y if self.left: dx = -dx","distance is executed by an N command. self.laser = 0 self.compact_state = False","= %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer","None: return from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x,","c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c ==","(x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name","self.distance_x = 0 self.distance_y = 0 self.filename = \"\" self.laser = 0 self.left","False if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top = not","and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",),","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\"","not located within the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x","range(len(data)): b = data[i] c = chr(b) if c == \"\\n\": count_lines +=","if not self.left and self.horizontal_major: # Was T switched to B with horizontal","= p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return","self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args,","import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def","== \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c == \"F\":","None self.number_consumer = self.mode_consumer elif c == \"E\": if self.channel: self.channel(\"Execute State\") if","self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","count_flag += 1 if count_lines >= 3 and count_flag >= 5: return data[i:]","self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on = True if","self.y)) def process(self, b, c): if c == \"I\": self.finish_state = False self.compact_state","self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c == \"@\": if","self.name def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send =","if not self.top and not self.horizontal_major: # Was R switched to L with","return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag = 0","1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","- ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26 if self.small_jump else","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c","= None self.board = \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag =","Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser =","from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y),","self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode","to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, )","\"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\": self.laser","self.small_jump = False elif c == \"B\": # Move to Right. if self.left","0 self.distance_y = 0 if self.finish_state: # In finished all commands are black","data): \"\"\" Write data to the emulator including the header. This is intended","Home sequence triggered by 2 P commands in the same packet. # This","== \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c ==","self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x !=","not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p):","% self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value +=","Left if not self.left and self.horizontal_major: # Was T switched to B with","should accurately reconstruct the values. When the position is changed it calls a","self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c == \"L\":","self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False","write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value +=","self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an N command. self.laser =","b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b))","None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if","for saved .egv files which include a default header. \"\"\" if self.header_skipped: self.write(data)","context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def","self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x","= True self.returning_finished = False self.returning_compact = True self.laser = 0 elif c","= -dy self.distance_x = 0 self.distance_y = 0 ox = self.x oy =","%d %d\" % (dx, dy, self.x, self.y)) def process(self, b, c): if c","= 0 self.filename = \"\" self.laser = 0 self.left = False self.top =","1 if count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod def","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\" %","self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def","if self.channel: self.channel(\"Left\") elif c == \"R\": # Move to Bottom if self.top","self.small_jump else 255) self.small_jump = False elif c == \"B\": # Move to","self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag","B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self,","def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\"","if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on =","not self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y += self.raster_step","self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer","self.laser = 0 self.left = False self.top = False self.x_on = False self.y_on","self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis:","self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel:","<= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif c ==","self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b","= self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","False self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished = False","data[i:] def header_write(self, data): \"\"\" Write data to the emulator including the header.","= int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on:","if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self): if","True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump","def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value =","diagram. This should accurately reconstruct the values. When the position is changed it","0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data)","= False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode ==","= 0 self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major =","\"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c == \"F\": if","None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major:","elif c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer","if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","= \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value)","cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines","= \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value)","self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","not self.left and self.horizontal_major: # Was T switched to B with horizontal rastering.","self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\")","y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args,","open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename,","self.raster_step self.top = False self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\")","if one exists. \"\"\" def __init__(self): self.channel = None self.position = None self.board","self.laser = 0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0","self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if","self.name = name self.data = data self.operation = \"blob\" self._cutcode = None self._cut","1 if count_lines >= 3 and count_flag >= 5: return data[i:] def header_write(self,","True self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\") elif c ==","self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on))","self.distance_x dy = self.distance_y if self.left: dx = -dx if self.top: dy =","from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x,","header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet):","if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at","(%d %d) now at %d %d\" % (dx, dy, self.x, self.y)) def process(self,","LihuiyuParser parses LHYMicro-GL code with a state diagram. This should accurately reconstruct the","\"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an N command.","% self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self,","ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif c == \"z\":","self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance()","default header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self,","len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position =","meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath","!= 0 or self.distance_y != 0: dx = self.distance_x dy = self.distance_y if","# Was T switched to B with horizontal rastering. if self.raster_step: self.distance_y +=","\"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag =","= True self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state =","0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0","None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser","c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by an","CutCode() self._cut = RawCut() def new_cut(): if self._cut is not None and len(self._cut):","3 and count_flag >= 5: return data[i:] def header_write(self, data): \"\"\" Write data","self._cut.settings = dict(parser.settings) def position(p): if p is None or self._cut is None:","self.top else \"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\"","= self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Raster Step = %s\"","self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on = False","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value","self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data):","dx = -dx if self.top: dy = -dy self.distance_x = 0 self.distance_y =","False self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements): self.path =","self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 =","data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","resume if not located within the same packet. if self.position: self.position((self.x, self.y, 0,","self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\"Moving (%d %d) now at %d","the same packet. # This should resume if not located within the same","self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\")","= False else: self.execute_distance() # distance is executed by a P command self.paused_state","self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\") elif c == \"R\":","self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1","self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on = True","distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <=","= chr(b) if c == \"\\n\": count_lines += 1 elif c == \"%\":","self.distance_y = 0 ox = self.x oy = self.y self.x += dx self.y","self.y_on = False if self.channel: self.channel(\"Right\") elif c == \"T\": # Move to","one exists. \"\"\" def __init__(self): self.channel = None self.position = None self.board =","self.laser = 0 self.compact_state = False if self.position: self.position(None) elif c == \"M\":","self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c == \"@\": if self.channel:","self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None","else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode","self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode","True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on","complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings,","elif c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c","b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self,","if c == \"I\": self.finish_state = False self.compact_state = False self.paused_state = False","False self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode = None","len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\" % self.number_value) self.mode =","Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c","= pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs): context","== 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position","RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module","# Move to Left if not self.left and self.horizontal_major: # Was T switched","else \"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s %s\" %","== \"B\": # Move to Right. if self.left and self.horizontal_major: # Was T","class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser","if self.channel: self.channel(\"Right\") elif c == \"T\": # Move to Left if not","False self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {}","= None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if","self.returning_compact = False self.returning_finished = True elif c == \"@\": if self.channel: self.channel(\"Reset\")","= True if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on =","self.channel: self.channel(\"Raster Step = %s\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\"","exists. \"\"\" def __init__(self): self.channel = None self.position = None self.board = \"M2\"","LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None:","command. self.laser = 0 self.compact_state = False if self.position: self.position(None) elif c ==","self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer","= False self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\") elif c","b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data =","c == \"M\": self.x_on = True self.y_on = True if self.channel: a =","LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for","parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None return cutcode def","self.x, self.y)) def process(self, b, c): if c == \"I\": self.finish_state = False","def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode","self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None: return","self._cut is None: new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode:","= self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0 if self.channel:",">= 5: return data[i:] @staticmethod def load_types(): yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod","= \"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if","the header. This is intended for saved .egv files which include a default","if p is None: return from_x, from_y, to_x, to_y = p if self.program_mode:","self._cut = RawCut() def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut)","self.distance_y += self.raster_step else: # vertical major self.top = not self.top self.x_on =","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value)","== \"M\": self.x_on = True self.y_on = True if self.channel: a = \"Top\"","Mode = %s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer =","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value","self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut is not None","and not self.horizontal_major: # Was L switched to R with vertical rastering. if","self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def","self.laser = 0 if self.paused_state: # Home sequence triggered by 2 P commands","0 elif c == \"P\": if self.channel: self.channel(\"Pause\") self.laser = 0 if self.paused_state:","In finished all commands are black holed return if ord(\"0\") <= b <=","0 if self.finish_state: # In finished all commands are black holed return if","self.channel(\"Bottom\") elif c == \"L\": # Move to Top if not self.top and","it calls a self.position() function if one exists. \"\"\" def __init__(self): self.channel =","is intended for saved .egv files which include a default header. \"\"\" if","speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2","load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as","elif c == \"M\": self.x_on = True self.y_on = True if self.channel: a","yield \"Engrave Files\", (\"egv\",), \"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os","\"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b +","= False self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished =","3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","= False self.paused_state = False self.distance_x = 0 self.distance_y = 0 if self.finish_state:","if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel:","__init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds","\"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray,","code with a state diagram. This should accurately reconstruct the values. When the","if self.left: dx = -dx if self.top: dy = -dy self.distance_x = 0","self.speed_code = \"\" elif c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\")","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" %","def raster_mode(self): return self.settings.get(\"raster_step\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag","0 or self.distance_y != 0: dx = self.distance_x dy = self.distance_y if self.left:","def position(p): if p is None or self._cut is None: new_cut() return from_x,","program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self): return","len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value =","to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position","= None self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state =","= 0 self.distance_y = 0 self.filename = \"\" self.laser = 0 self.left =","count_lines += 1 elif c == \"%\": count_flag += 1 if count_lines >=","= not self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x +=","# Every command in compact state executes distances. self.execute_distance() if c == \"|\":","self.top = False self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\") elif","if self.finish_state: # In finished all commands are black holed return if ord(\"0\")","Move to Top if not self.top and not self.horizontal_major: # Was R switched","c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value)","%s %s\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name","is None: return from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser:","self.raster_step self.top = True self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\")","from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y))","== \"@\": if self.channel: self.channel(\"Reset\") self.returning_finished = False self.returning_compact = False elif c","+= c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" %","c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact:","def process(self, b, c): if c == \"I\": self.finish_state = False self.compact_state =","from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path)","= False self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state =","= False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines =","self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes then moves position.","= False if self.position: self.position(None) elif c == \"M\": self.x_on = True self.y_on","self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","self.position = None self.board = \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag","\"\" self.laser = 0 self.left = False self.top = False self.x_on = False","= \"\" self.distance_x = 0 self.distance_y = 0 self.filename = \"\" self.laser =","== \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b","B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on","= \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value)","elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed by","rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on","= True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif","Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0","c == \"R\": # Move to Bottom if self.top and not self.horizontal_major: #","self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on = False","self.channel: self.channel(\"Moving (%d %d) now at %d %d\" % (dx, dy, self.x, self.y))","self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on = True","None self._cut = None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data))","if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","if self.top and not self.horizontal_major: # Was L switched to R with vertical","if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top = not self.top","== 0: # Homes then moves position. pass elif self.mode == 1: self.compact_state","= self._cutcode self._cut = None self._cutcode = None return cutcode def generate(self): yield","\"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode =","by an N command. self.laser = 0 self.compact_state = False if self.position: self.position(None)","self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished:","b = data[i] c = chr(b) if c == \"\\n\": count_lines += 1","1 if self.channel: self.channel(\"Laser On\") elif c == \"F\": if self.channel: self.channel(\"Finish\") self.returning_compact","switched to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top =","self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x = 0.0 self.y","= False self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds =","int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x","= None def __repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self):","@property def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property def","elif self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished = False","self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y = 0","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c):","= self.y self.x += dx self.y += dy if self.position: self.position((ox, oy, self.x,","pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch","is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def","x1, y1)) self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self,",">= 3: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\"","Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self,","= 0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state =","self.small_jump = False elif c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump","= self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses","meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool,","self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:","self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state","p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data)","import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\",","initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" %","self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\"","self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y +=","def remove_header(data): count_lines = 0 count_flag = 0 for i in range(len(data)): b","a default header. \"\"\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def","if self.channel: self.channel(\"Execute State\") if self.mode is None: if self.returning_compact: self.compact_state = True","horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True","= data self.operation = \"blob\" self._cutcode = None self._cut = None def __repr__(self):","ox = self.x oy = self.y self.x += dx self.y += dy if","<= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\"","= 0 for i in range(len(data)): b = data[i] c = chr(b) if","N command. self.laser = 0 self.compact_state = False if self.position: self.position(None) elif c","self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command in compact","None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def","\"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if","to Right. if self.left and self.horizontal_major: # Was T switched to B with","else 255) self.small_jump = False elif c == \"B\": # Move to Right.","state diagram. This should accurately reconstruct the values. When the position is changed","= None self.position = None self.board = \"M2\" self.header_skipped = False self.count_lines =","Module.__init__(self, context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel","with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on =","from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"),","\"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >=","= p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position","= -dx if self.top: dy = -dy self.distance_x = 0 self.distance_y = 0","dict(parser.settings) def position(p): if p is None or self._cut is None: new_cut() return","# distance is executed by a P command self.paused_state = True elif c","dy = -dy self.distance_x = 0 self.distance_y = 0 ox = self.x oy","= True self.x_on = False self.y_on = True if self.channel: self.channel(\"Top\") elif c","Homes then moves position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major","if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value","else: self.execute_distance() # distance is executed by a P command self.paused_state = True","to Top if not self.top and not self.horizontal_major: # Was R switched to","= position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None return","self.distance_y = 0 if self.finish_state: # In finished all commands are black holed","self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer","self.board = \"M2\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings","count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield","self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","@staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i in range(len(data)):","UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color","0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None","= False self.x_on = False self.y_on = False self.small_jump = False self.returning_compact =","self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if","is changed it calls a self.position() function if one exists. \"\"\" def __init__(self):","send = context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context","\"B\": # Move to Right. if self.left and self.horizontal_major: # Was T switched","if c == \"|\": self.append_distance(25) self.small_jump = True elif ord(\"a\") <= b <=","= self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer","def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode","0 self.distance_y = 0 self.filename = \"\" self.laser = 0 self.left = False","%s\" % self.number_value) self.mode = int(self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def","else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for","speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Accel","is executed by an N command. self.laser = 0 self.compact_state = False if","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c):","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value)","self.x += dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if","saved .egv files which include a default header. \"\"\" if self.header_skipped: self.write(data) else:","self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def",">= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" % self.number_value) self.number_value =","c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B1 =","else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command in","self.channel(\"Speedcode Accel = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b1_consumer def","= context.channel(\"%s/usb_send\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active","position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property","c == \"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c","ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: #","parse(self, data, elements): self.path = Numpath() def position(p): if p is None: return","self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact","parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode","self.horizontal_major: # Was R switched to L with vertical rastering. if self.raster_step: self.distance_x","self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:","= 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag =","(a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data","major self.top = not self.top self.x_on = False self.y_on = True if self.raster_step:","self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in \"G\":","0) != 0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines =","self.speedcode_b1_consumer elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif","+= self.raster_step elif self.mode == 0: # Homes then moves position. pass elif","= True if self.channel: a = \"Top\" if self.top else \"Bottom\" b =","distance is executed by a P command self.paused_state = True elif c ==","self.x = 0.0 self.y = 0.0 self.number_value = \"\" self.distance_x = 0 self.distance_y","R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on","position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if",">= 5: return data[i:] def header_write(self, data): \"\"\" Write data to the emulator","self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not","to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position =","0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod","= True self.y_on = True if self.channel: a = \"Top\" if self.top else","self.channel(\"Moving (%d %d) now at %d %d\" % (dx, dy, self.x, self.y)) def","self.mode == 0: # Homes then moves position. pass elif self.mode == 1:","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value","False self.y_on = True if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser =","self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x +=","= True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is","is None: new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode: if","# Homes then moves position. pass elif self.mode == 1: self.compact_state = True","EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i in","self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0}) self.speed_code = None self.x","c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\" def","remove_header(data): count_lines = 0 count_flag = 0 for i in range(len(data)): b =","= False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c == \"L\": #","if self.channel: self.channel(\"Speedcode B2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","if count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod def load_types():","self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None):","\"F\": if self.channel: self.channel(\"Finish\") self.returning_compact = False self.returning_finished = True elif c ==","True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: # vertical major","Move to Right. if self.left and self.horizontal_major: # Was T switched to B","active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \"\"\" LihuiyuParser parses LHYMicro-GL code with a state diagram.","if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def","= None return cutcode def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod","False self.x_on = False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c ==","\"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer","= False elif c == \"B\": # Move to Right. if self.left and","\"C\": if self.channel: self.channel(\"Speedcode\") self.speed_code = \"\" elif c in \"V\": self.raster_step =","= False if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top =","== \"R\": # Move to Bottom if self.top and not self.horizontal_major: # Was","holed return if ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer =","finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\"%s/usb_send\" %","False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0:","as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if","False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def parse(self, data,","self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def","new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data):","if self.channel: self.channel(\"Top\") elif c == \"U\": self.laser = 0 if self.channel: self.channel(\"Laser","self.raster_step self.left = True self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\")","= 0 count_flag = 0 for i in range(len(data)): b = data[i] c","c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif c ==","True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance is executed","True if self.channel: a = \"Top\" if self.top else \"Bottom\" b = \"Left\"","meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path):","\"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=","if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on =","self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=","to Bottom if self.top and not self.horizontal_major: # Was L switched to R","from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from","return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position","import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self,","self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def","self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if","self.channel(\"Laser Off\") elif c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\")","{} def parse(self, data, elements): self.path = Numpath() def position(p): if p is",">= 3: if self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value =","elif c == \"E\": if self.channel: self.channel(\"Execute State\") if self.mode is None: if","compact state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25) self.small_jump = True","b1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self,","3: self.append_distance(int(self.number_value)) self.number_value = \"\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value)","%s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value","__repr__(self): return \"EGV(%s, %d bytes)\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser()","== \"\\n\": count_lines += 1 elif c == \"%\": count_flag += 1 if","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c):","self.distance_y != 0: dx = self.distance_x dy = self.distance_y if self.left: dx =","self.path = Numpath() def position(p): if p is None: return from_x, from_y, to_x,","Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser","\"I\": self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x = 0","__init__(self): self.channel = None self.position = None self.board = \"M2\" self.header_skipped = False","elif ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump =","= self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command in compact state","if self.top else \"Bottom\" b = \"Left\" if self.left else \"Right\" self.channel(\"Diagonal %s","ord(\"a\") <= b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False","3: if self.channel: self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer","== \"L\": # Move to Top if not self.top and not self.horizontal_major: #","+= c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode = %s\" %","self.channel: self.channel(\"Speedcode Dratio b2 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer =","Off\") elif c == \"D\": self.laser = 1 if self.channel: self.channel(\"Laser On\") elif","and count_flag >= 5: return data[i:] def header_write(self, data): \"\"\" Write data to","new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode =","if self.left and self.horizontal_major: # Was T switched to B with horizontal rastering.","\"T\": # Move to Left if not self.left and self.horizontal_major: # Was T","oy = self.y self.x += dx self.y += dy if self.position: self.position((ox, oy,","== 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\"","1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value = \"\"","from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from","self.raster_step else: # vertical major self.top = not self.top self.x_on = False self.y_on","self.left else \"Right\" self.channel(\"Diagonal %s %s\" % (a, b)) class EGVBlob: def __init__(self,","os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\",","from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class","True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" + str(self.x_on)) elif self.mode","including the header. This is intended for saved .egv files which include a","= True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes","to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True","int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode =","self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0:","x1, y1 = p self.context.signal(\"emulator;position\", (x0, y0, x1, y1)) self.parser.position = pos def","dx = self.distance_x dy = self.distance_y if self.left: dx = -dx if self.top:","Every command in compact state executes distances. self.execute_distance() if c == \"|\": self.append_distance(25)","False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\"lhy\") def pos(p): if","0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c == \"E\": if","to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False","EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data = data self.operation","data, elements): self.path = Numpath() def position(p): if p is None: return from_x,","or self.distance_y != 0: dx = self.distance_x dy = self.distance_y if self.left: dx","to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser)","== \"I\": self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x =","False self.y_on = True if self.channel: self.channel(\"Bottom\") elif c == \"L\": # Move","c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\" %","0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0","self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\",","meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module):","c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Speedcode Accel =","1 - ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26 if self.small_jump","0 self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True","self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major","self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step","1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\"Setting Axis: h=\" +","self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c","write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b)) def","new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings","None self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state = False","!= 0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0","self.position(None) elif c == \"M\": self.x_on = True self.y_on = True if self.channel:","b <= ord(\"y\"): self.append_distance(b + 1 - ord(\"a\")) self.small_jump = False elif c","LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut is not","self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on:","not self.horizontal_major: # Was L switched to R with vertical rastering. if self.raster_step:","return self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\"raster_step\",","distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \"\"","self.number_value) self.raster_step = int(self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def mode_consumer(self, c):","ord(\"a\")) self.small_jump = False elif c == \"z\": self.append_distance(26 if self.small_jump else 255)","0 self.left = False self.top = False self.x_on = False self.y_on = False","changed it calls a self.position() function if one exists. \"\"\" def __init__(self): self.channel","\"z\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c == \"B\":","+= self.raster_step self.left = False self.x_on = True self.y_on = False if self.channel:","in range(len(data)): b = data[i] c = chr(b) if c == \"\\n\": count_lines","= True self.x_on = True self.y_on = False if self.channel: self.channel(\"Left\") elif c","self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None or","not self.horizontal_major: # Was R switched to L with vertical rastering. if self.raster_step:","elif c in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c","__init__(self, data: bytearray, name=None): self.name = name self.data = data self.operation = \"blob\"","\"application/x-egv\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with","self.paused_state = True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() # distance","to Left if not self.left and self.horizontal_major: # Was T switched to B","# Move to Top if not self.top and not self.horizontal_major: # Was R","= %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c):","elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode","= \"\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value)","command self.paused_state = True elif c == \"N\": if self.channel: self.channel(\"N\") self.execute_distance() #","from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL","self._cutcode self._cut = None self._cutcode = None return cutcode def generate(self): yield \"blob\",","= os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())),","= 0 self.compact_state = False if self.position: self.position(None) elif c == \"M\": self.x_on","self.channel(\"Speedcode B1 = %s\" % self.number_value) self.number_value = \"\" self.number_consumer = self.speedcode_b2_consumer def","self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self):","self.left = False self.x_on = True self.y_on = False if self.channel: self.channel(\"Right\") elif","False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\"speed\": 20.0, \"power\": 1000.0})","str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished =","self.x_on = True self.y_on = True if self.channel: a = \"Top\" if self.top","elements.elem_branch.add( type=\"elem numpath\", path=self.path, stroke=Color(\"black\"), **self.settings.settings, ) elements.signal(\"refresh_scene\", 0) @property def program_mode(self): return","\"\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if","if c == \"\\n\": count_lines += 1 elif c == \"%\": count_flag +=","self.returning_compact = True self.laser = 0 elif c == \"P\": if self.channel: self.channel(\"Pause\")","in the same packet. # This should resume if not located within the","(dx, dy, self.x, self.y)) def process(self, b, c): if c == \"I\": self.finish_state","same packet. # This should resume if not located within the same packet.","rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on","+= c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio b1 = %s\"","\"\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=","f: op_branch = elements_modifier.get(type=\"branch ops\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\"egv\", type=\"blob\", name=basename, ) return True","c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode =","parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut","in \"G\": if self.channel: self.channel(\"Step Value\") self.number_consumer = self.raster_step_consumer elif c == \"S\":","return else: self.number_consumer = self.distance_consumer self.number_value = \"\" if self.compact_state: # Every command","self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state","position(p): if p is None or self._cut is None: new_cut() return from_x, from_y,","mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set Mode","pos(p): if p is None: return x0, y0, x1, y1 = p self.context.signal(\"emulator;position\",","\"\" elif c in \"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer =","self.parser.channel = self.context.channel(\"lhy\") def pos(p): if p is None: return x0, y0, x1,","elif c == \"T\": # Move to Left if not self.left and self.horizontal_major:","self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:","c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode B2 =","speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\"Speedcode Dratio","== \"U\": self.laser = 0 if self.channel: self.channel(\"Laser Off\") elif c == \"D\":","self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top = not self.top self.x_on","self.execute_distance() # distance is executed by a P command self.paused_state = True elif","import os basename = os.path.basename(pathname) with open(pathname, \"rb\") as f: op_branch = elements_modifier.get(type=\"branch","self.channel(\"Right\") elif c == \"T\": # Move to Left if not self.left and","= True self.y_on = False if self.channel: self.channel(\"Right\") elif c == \"T\": #","len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is","elif c == \"R\": # Move to Bottom if self.top and not self.horizontal_major:","self.top and not self.horizontal_major: # Was L switched to R with vertical rastering.","ord(\"0\") <= b <= ord(\"9\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value =","def generate(self): yield \"blob\", \"egv\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines =","+= self.raster_step self.left = True self.x_on = True self.y_on = False if self.channel:","self.number_consumer = self.raster_step_consumer elif c == \"S\": if self.channel: self.channel(\"Mode Set\") self.laser =","context, path) self.context.setting(bool, \"fix_speeds\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel =","self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:","accurately reconstruct the values. When the position is changed it calls a self.position()","= 0 self.distance_x = 0 self.finish_state = True self.paused_state = False else: self.execute_distance()","def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\"Set","self.top: dy = -dy self.distance_x = 0 self.distance_y = 0 ox = self.x","p is None or self._cut is None: new_cut() return from_x, from_y, to_x, to_y","self.channel: self.channel(\"Mode Set\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer","= False if self.channel: self.channel(\"Right\") elif c == \"T\": # Move to Left","\"V\": self.raster_step = None if self.channel: self.channel(\"Velocity\") self.number_consumer = self.speedcode_b1_consumer elif c in","def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b))","self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self,","self.parser.position = pos def __repr__(self): return \"LihuiyuEmulator(%s)\" % self.name def initialize(self, *args, **kwargs):"],"string":"[\n \"= data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif\",\n \"emulator including the header. This is intended for saved .egv files which include\",\n \"intended for saved .egv files which include a default header. \\\"\\\"\\\" if self.header_skipped:\",\n \"\\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"c == \\\"L\\\": # Move to Top if not self.top and not self.horizontal_major:\",\n \"state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif\",\n \"# Home sequence triggered by 2 P commands in the same packet. #\",\n \"finished all commands are black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"):\",\n \"+= dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel:\",\n \"triggered by 2 P commands in the same packet. # This should resume\",\n \"located within the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x =\",\n \"= 0 self.left = False self.top = False self.x_on = False self.y_on =\",\n \"State\\\") if self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state\",\n \"command in compact state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"= False self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step =\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c):\",\n \"= dict(parser.settings) def position(p): if p is None or self._cut is None: new_cut()\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if\",\n \"%s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def\",\n \"0 for i in range(len(data)): b = data[i] c = chr(b) if c\",\n \"data to the emulator including the header. This is intended for saved .egv\",\n \"len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value =\",\n \"self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on = True if\",\n \"self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path,\",\n \"0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1 if\",\n \"def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs):\",\n \"= LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut is\",\n \"switched to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top =\",\n \"p is None: return from_x, from_y, to_x, to_y = p if self.program_mode: if\",\n \"self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in\",\n \"def header_write(self, data): \\\"\\\"\\\" Write data to the emulator including the header. This\",\n \"self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N command. self.laser = 0\",\n \"def write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value\",\n \"moves position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on\",\n \"%d\\\" % (dx, dy, self.x, self.y)) def process(self, b, c): if c ==\",\n \"self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel:\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting\",\n \"by a P command self.paused_state = True elif c == \\\"N\\\": if self.channel:\",\n \"a state diagram. This should accurately reconstruct the values. When the position is\",\n \"self.returning_finished = False self.returning_compact = True self.laser = 0 elif c == \\\"P\\\":\",\n \"packet. # This should resume if not located within the same packet. if\",\n \"self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step = None if\",\n \"if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on =\",\n \"**kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet)\",\n \"0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i in\",\n \"self.top and not self.horizontal_major: # Was R switched to L with vertical rastering.\",\n \"elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state\",\n \"= self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0\",\n \"% self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self,\",\n \"y0, x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def\",\n \"\\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename, )\",\n \"class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This should\",\n \"or self._cut is None: new_cut() return from_x, from_y, to_x, to_y = p if\",\n \"self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0\",\n \"executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\")\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value\",\n \"self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state = True if\",\n \"-dy self.distance_x = 0 self.distance_y = 0 ox = self.x oy = self.y\",\n \"# distance is executed by an N command. self.laser = 0 self.compact_state =\",\n \"self.returning_compact = False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\"\",\n \"**kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet)\",\n \"= self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if\",\n \"name=None): self.name = name self.data = data self.operation = \\\"blob\\\" self._cutcode = None\",\n \"raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag =\",\n \"= self.x oy = self.y self.x += dx self.y += dy if self.position:\",\n \"Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False)\",\n \"self.finish_state = True self.paused_state = False else: self.execute_distance() # distance is executed by\",\n \"0 self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major = False\",\n \"if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def\",\n \"c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c ==\",\n \"return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self):\",\n \"elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False\",\n \"self.distance_y if self.left: dx = -dx if self.top: dy = -dy self.distance_x =\",\n \"False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom if\",\n \"if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem\",\n \"for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if\",\n \"if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on =\",\n \"True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact =\",\n \"LHYMicro-GL code with a state diagram. This should accurately reconstruct the values. When\",\n \"\\\"\\\" if self.compact_state: # Every command in compact state executes distances. self.execute_distance() if\",\n \"self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut\",\n \"def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self):\",\n \"in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c\",\n \"0: # Homes then moves position. pass elif self.mode == 1: self.compact_state =\",\n \"is None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1,\",\n \"False self.returning_compact = True self.laser = 0 elif c == \\\"P\\\": if self.channel:\",\n \"speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1\",\n \"False self.returning_finished = True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished =\",\n \"within the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0\",\n \"False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c\",\n \"self.top = not self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x\",\n \"yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag\",\n \"self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom if self.top and not\",\n \"with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on =\",\n \"self.paused_state = False self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In\",\n \"self.left = True self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif\",\n \"if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value =\",\n \"**self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return\",\n \"def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser =\",\n \"= None self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data)\",\n \"RawCut() def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut =\",\n \"0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property\",\n \"0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0\",\n \"elif c == \\\"B\\\": # Move to Right. if self.left and self.horizontal_major: #\",\n \"\\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"= True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left\",\n \"Was L switched to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step\",\n \"= False self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c\",\n \"with a state diagram. This should accurately reconstruct the values. When the position\",\n \"0)) self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x = 0\",\n \"This should resume if not located within the same packet. if self.position: self.position((self.x,\",\n \"0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state = False\",\n \"self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p\",\n \"def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\")\",\n \"reconstruct the values. When the position is changed it calls a self.position() function\",\n \"sequence triggered by 2 P commands in the same packet. # This should\",\n \"Right. if self.left and self.horizontal_major: # Was T switched to B with horizontal\",\n \"self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step = None if self.channel:\",\n \"LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser =\",\n \"\\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value =\",\n \"self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c ==\",\n \"= \\\"\\\" self.laser = 0 self.left = False self.top = False self.x_on =\",\n \"= self.distance_x dy = self.distance_y if self.left: dx = -dx if self.top: dy\",\n \"at %d %d\\\" % (dx, dy, self.x, self.y)) def process(self, b, c): if\",\n \"True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top if\",\n \"= self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is\",\n \"True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move\",\n \"to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False\",\n \"\\\"L\\\": # Move to Top if not self.top and not self.horizontal_major: # Was\",\n \"0 ox = self.x oy = self.y self.x += dx self.y += dy\",\n \"send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send =\",\n \"x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position =\",\n \"self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In finished all commands\",\n \"return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel,\",\n \"count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the\",\n \"0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\"\",\n \"switched to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left =\",\n \"= None self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x =\",\n \"= False self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In finished\",\n \"\\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self,\",\n \"When the position is changed it calls a self.position() function if one exists.\",\n \"name self.data = data self.operation = \\\"blob\\\" self._cutcode = None self._cut = None\",\n \"with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\",\",\n \"dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now\",\n \"self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on = True\",\n \"y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos\",\n \"self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state\",\n \"self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0, y0, x1, y1 =\",\n \"not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped\",\n \"= not self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y +=\",\n \"self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer\",\n \"= self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0, y0, x1, y1\",\n \"# In finished all commands are black holed return if ord(\\\"0\\\") <= b\",\n \"to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True\",\n \"self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command in compact state executes\",\n \"self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode ==\",\n \"meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from\",\n \"data: bytearray, name=None): self.name = name self.data = data self.operation = \\\"blob\\\" self._cutcode\",\n \"= False self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y =\",\n \"Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename =\",\n \"else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def __init__(self, data:\",\n \"self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position =\",\n \"chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step =\",\n \"return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode\",\n \"elif c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c\",\n \"L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on\",\n \"== \\\"T\\\": # Move to Left if not self.left and self.horizontal_major: # Was\",\n \"elif self.mode == 0: # Homes then moves position. pass elif self.mode ==\",\n \"def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode\",\n \"self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on = False if\",\n \"c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"):\",\n \"self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\"\",\n \"**kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch =\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value)\",\n \"+ str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished\",\n \"self.raster_step elif self.mode == 0: # Homes then moves position. pass elif self.mode\",\n \"self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines\",\n \"self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top\",\n \"if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact =\",\n \"if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c == \\\"@\\\":\",\n \"self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c == \\\"B\\\": #\",\n \"self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx,\",\n \"self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every\",\n \"self.horizontal_major: # Was T switched to B with horizontal rastering. if self.raster_step: self.distance_y\",\n \"self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state\",\n \"self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26\",\n \"and not self.horizontal_major: # Was R switched to L with vertical rastering. if\",\n \"3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def\",\n \"def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" %\",\n \"new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) ==\",\n \"c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode =\",\n \"P command self.paused_state = True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance()\",\n \"self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\"\",\n \"= 0 if self.finish_state: # In finished all commands are black holed return\",\n \"not self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x += self.raster_step\",\n \"elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif\",\n \"int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c\",\n \"by 2 P commands in the same packet. # This should resume if\",\n \"B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self,\",\n \"self.left and self.horizontal_major: # Was T switched to B with horizontal rastering. if\",\n \"self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c in \\\"C\\\": if\",\n \"= 0 ox = self.x oy = self.y self.x += dx self.y +=\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c\",\n \"os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\")\",\n \"CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import\",\n \"*args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active)\",\n \"self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context =\",\n \"pass elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel:\",\n \"elements): self.path = Numpath() def position(p): if p is None: return from_x, from_y,\",\n \"c): if c == \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state =\",\n \"self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx, dy,\",\n \"This is intended for saved .egv files which include a default header. \\\"\\\"\\\"\",\n \"# Move to Right. if self.left and self.horizontal_major: # Was T switched to\",\n \"= context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with\",\n \"numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property\",\n \"if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value\",\n \"b, c): if c == \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state\",\n \"import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import\",\n \"\\\"%\\\": count_flag += 1 if count_lines >= 3 and count_flag >= 5: return\",\n \"self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser\",\n \"# Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser\",\n \"self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value))\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value +=\",\n \"self.operation = \\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self): return \\\"EGV(%s,\",\n \"self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None:\",\n \"False self.distance_x = 0 self.distance_y = 0 if self.finish_state: # In finished all\",\n \"p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser)\",\n \"packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0\",\n \"= Numpath() def position(p): if p is None: return from_x, from_y, to_x, to_y\",\n \"self._cutcode = None self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" %\",\n \"elif c == \\\"L\\\": # Move to Top if not self.top and not\",\n \"vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False\",\n \"== \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c\",\n \"P commands in the same packet. # This should resume if not located\",\n \"self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL\",\n \"then moves position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major =\",\n \"if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode\",\n \"self.x_on = False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" %\",\n \"if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c\",\n \"+= self.raster_step self.top = False self.x_on = False self.y_on = True if self.channel:\",\n \"+= 1 if count_lines >= 3 and count_flag >= 5: return data[i:] def\",\n \"in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step\",\n \"self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode\",\n \"True self.y_on = True if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\"\",\n \">= 3 and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave\",\n \"self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif\",\n \"self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif\",\n \"self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def\",\n \"meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements\",\n \"= False self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode =\",\n \"False self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y = 0\",\n \"# Was R switched to L with vertical rastering. if self.raster_step: self.distance_x +=\",\n \"same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y =\",\n \"count_lines >= 3 and count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\"\",\n \"self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add(\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c):\",\n \"Was T switched to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step\",\n \"self.paused_state = False else: self.execute_distance() # distance is executed by a P command\",\n \"self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer\",\n \"self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x dy\",\n \"= LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is\",\n \"data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c\",\n \"self.number_consumer = {} def parse(self, data, elements): self.path = Numpath() def position(p): if\",\n \"== \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None\",\n \"self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds\",\n \"from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context,\",\n \"basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add(\",\n \"self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to\",\n \"bytearray, name=None): self.name = name self.data = data self.operation = \\\"blob\\\" self._cutcode =\",\n \"black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer\",\n \"len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def\",\n \"% active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active\",\n \"include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data)\",\n \"self.finish_state: # In finished all commands are black holed return if ord(\\\"0\\\") <=\",\n \"self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\"\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value)\",\n \"load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import\",\n \"LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This should accurately\",\n \"self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif\",\n \"% active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state\",\n \"self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y = 0 if\",\n \"type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state\",\n \"False self.returning_compact = False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code =\",\n \"an N command. self.laser = 0 self.compact_state = False if self.position: self.position(None) elif\",\n \"__repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context = self.context active\",\n \"self.data = data self.operation = \\\"blob\\\" self._cutcode = None self._cut = None def\",\n \"0 self.distance_x = 0 self.finish_state = True self.paused_state = False else: self.execute_distance() #\",\n \"False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left if\",\n \"= False self.returning_compact = True self.laser = 0 elif c == \\\"P\\\": if\",\n \"False self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c ==\",\n \"= {} def parse(self, data, elements): self.path = Numpath() def position(p): if p\",\n \"c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value\",\n \"<= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state:\",\n \"\\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob:\",\n \"1 elif c == \\\"%\\\": count_flag += 1 if count_lines >= 3 and\",\n \"+= amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0\",\n \"if self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x dy =\",\n \"def __init__(self, data: bytearray, name=None): self.name = name self.data = data self.operation =\",\n \"if p is None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0,\",\n \"5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the emulator including\",\n \"values. When the position is changed it calls a self.position() function if one\",\n \"= \\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self): return \\\"EGV(%s, %d\",\n \"%s\\\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name =\",\n \"def pos(p): if p is None: return x0, y0, x1, y1 = p\",\n \"None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1))\",\n \"= position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0)\",\n \"if self.compact_state: # Every command in compact state executes distances. self.execute_distance() if c\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value\",\n \"= False self.number_consumer = {} def parse(self, data, elements): self.path = Numpath() def\",\n \"data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif c\",\n \"self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked.\",\n \"return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data):\",\n \"= 0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i\",\n \"2: # Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True\",\n \"else: # vertical major self.top = not self.top self.x_on = False self.y_on =\",\n \"amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or\",\n \"if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step = None\",\n \"b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if\",\n \"On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished =\",\n \"self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence triggered by 2\",\n \"self.horizontal_major: # Was L switched to R with vertical rastering. if self.raster_step: self.distance_x\",\n \"self.distance_x = 0 self.distance_y = 0 ox = self.x oy = self.y self.x\",\n \"data self.operation = \\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self): return\",\n \"True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move\",\n \"dy, self.x, self.y)) def process(self, b, c): if c == \\\"I\\\": self.finish_state =\",\n \"self.y_on = True if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b\",\n \"speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel\",\n \"for i in range(len(data)): b = data[i] c = chr(b) if c ==\",\n \"if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"= self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser:\",\n \"self.mode = None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute\",\n \"= \\\"\\\" elif c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer\",\n \"c == \\\"T\\\": # Move to Left if not self.left and self.horizontal_major: #\",\n \"self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left =\",\n \"in compact state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump =\",\n \"dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving\",\n \"Move to Left if not self.left and self.horizontal_major: # Was T switched to\",\n \"None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel:\",\n \"a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value\",\n \"parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut()\",\n \"self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x = 0 self.distance_y\",\n \"-dx if self.top: dy = -dy self.distance_x = 0 self.distance_y = 0 ox\",\n \"a self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position\",\n \"if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value =\",\n \"= LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in\",\n \"self.compact_state: # Every command in compact state executes distances. self.execute_distance() if c ==\",\n \"self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount):\",\n \"are black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else:\",\n \"self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements):\",\n \"executed by an N command. self.laser = 0 self.compact_state = False if self.position:\",\n \"\\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence triggered by\",\n \"Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def\",\n \"self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state = False else:\",\n \"self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on = True if\",\n \"self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped =\",\n \"def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster\",\n \"0 self.finish_state = True self.paused_state = False else: self.execute_distance() # distance is executed\",\n \"self.x_on = True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: #\",\n \"pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context =\",\n \"\\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename\",\n \"def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod def\",\n \"self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom if self.top and\",\n \"\\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence triggered\",\n \"= True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: # vertical\",\n \"self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer\",\n \"if self.paused_state: # Home sequence triggered by 2 P commands in the same\",\n \"= True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value +=\",\n \"chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value\",\n \"self.y self.x += dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y))\",\n \"False self.top = False self.x_on = False self.y_on = False self.small_jump = False\",\n \"= True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact\",\n \"is None or self._cut is None: new_cut() return from_x, from_y, to_x, to_y =\",\n \"if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on =\",\n \"p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\"\",\n \"self.x_on = False self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished\",\n \"self.left: dx = -dx if self.top: dy = -dy self.distance_x = 0 self.distance_y\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value\",\n \"0: dx = self.distance_x dy = self.distance_y if self.left: dx = -dx if\",\n \"R switched to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top\",\n \"self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0 self.left = False self.top\",\n \"+= self.raster_step self.top = True self.x_on = False self.y_on = True if self.channel:\",\n \"self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel:\",\n \"speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value +=\",\n \"= 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1\",\n \"path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\")\",\n \"Numpath() def position(p): if p is None: return from_x, from_y, to_x, to_y =\",\n \"if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer =\",\n \"+= self.raster_step else: # vertical major self.top = not self.top self.x_on = False\",\n \"= None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\")\",\n \"active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send\",\n \"\\\"M\\\": self.x_on = True self.y_on = True if self.channel: a = \\\"Top\\\" if\",\n \"0 self.filename = \\\"\\\" self.laser = 0 self.left = False self.top = False\",\n \"self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\",\",\n \"self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel:\",\n \"packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self,\",\n \"def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x\",\n \"append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def\",\n \"self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines\",\n \"= True self.paused_state = False else: self.execute_distance() # distance is executed by a\",\n \"Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context,\",\n \"as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename, ) return\",\n \"self.x oy = self.y self.x += dx self.y += dy if self.position: self.position((ox,\",\n \"def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut():\",\n \"rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on\",\n \".egv files which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data\",\n \"if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top if not\",\n \"== 2: # Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact =\",\n \"calls a self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None\",\n \"= 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x =\",\n \"self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\":\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step\",\n \"self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: #\",\n \"parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None\",\n \"context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a\",\n \"None: new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot)\",\n \"= False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom\",\n \"self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to\",\n \"# This should resume if not located within the same packet. if self.position:\",\n \">= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"L switched to R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top\",\n \"if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else:\",\n \"data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 =\",\n \"This should accurately reconstruct the values. When the position is changed it calls\",\n \"None self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class\",\n \"send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code\",\n \"if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"self.number_value = \\\"\\\" if self.compact_state: # Every command in compact state executes distances.\",\n \"\\\"R\\\": # Move to Bottom if self.top and not self.horizontal_major: # Was L\",\n \"context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active =\",\n \"Was R switched to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step\",\n \"self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 -\",\n \"(self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut()\",\n \"self.returning_finished = False self.returning_compact = False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\")\",\n \"self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or self.distance_y !=\",\n \"self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings)\",\n \"self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code\",\n \"c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif\",\n \"= self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context\",\n \"False self.number_consumer = {} def parse(self, data, elements): self.path = Numpath() def position(p):\",\n \"@staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname,\",\n \"c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value)\",\n \"= False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def parse(self,\",\n \"Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"self._cut = None self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\",\",\n \"self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state\",\n \"True self.returning_finished = False self.returning_compact = True self.laser = 0 elif c ==\",\n \"\\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0\",\n \"= RawCut() def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut\",\n \"count_flag = 0 for i in range(len(data)): b = data[i] c = chr(b)\",\n \"should resume if not located within the same packet. if self.position: self.position((self.x, self.y,\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value\",\n \"def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context = self.context\",\n \"= True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top\",\n \"# vertical major self.top = not self.top self.x_on = False self.y_on = True\",\n \"return from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y),\",\n \"self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser =\",\n \"data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier,\",\n \"unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser = 0\",\n \"active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser\",\n \"function if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position = None\",\n \"False self.paused_state = False self.distance_x = 0 self.distance_y = 0 if self.finish_state: #\",\n \"\\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag += 1 if count_lines\",\n \"3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value\",\n \"self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left\",\n \"self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"= False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif\",\n \"== \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N\",\n \"horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True\",\n \"return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the emulator including the\",\n \"= False self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer =\",\n \"\\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\"\",\n \"c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif\",\n \"255) self.small_jump = False elif c == \\\"B\\\": # Move to Right. if\",\n \"parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None\",\n \"+= amount def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx\",\n \"from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x),\",\n \"+= c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c):\",\n \"= 0 self.distance_y = 0 if self.finish_state: # In finished all commands are\",\n \"20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value\",\n \"oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" %\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel =\",\n \"amount def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0: dx =\",\n \"5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def\",\n \"\\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p):\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step =\",\n \"False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False\",\n \"a P command self.paused_state = True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\")\",\n \"if self.top: dy = -dy self.distance_x = 0 self.distance_y = 0 ox =\",\n \"+= dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d)\",\n \"def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode\",\n \"\\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state =\",\n \"files which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data =\",\n \"= 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c == \\\"E\\\":\",\n \"path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\"\",\n \"= self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"if self.small_jump else 255) self.small_jump = False elif c == \\\"B\\\": # Move\",\n \"rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on\",\n \"0 if self.paused_state: # Home sequence triggered by 2 P commands in the\",\n \"= \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class\",\n \"y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self):\",\n \"Move to Bottom if self.top and not self.horizontal_major: # Was L switched to\",\n \"self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on = False if\",\n \"return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer\",\n \">= 3 and count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write\",\n \"self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top if not self.top\",\n \"% (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name\",\n \"elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f:\",\n \"if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step\",\n \"3 and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\",\",\n \"elif c == \\\"%\\\": count_flag += 1 if count_lines >= 3 and count_flag\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"= self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self,\",\n \"if self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on = True\",\n \"self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" %\",\n \"= int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value +=\",\n \"to the emulator including the header. This is intended for saved .egv files\",\n \"= 1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\")\",\n \"generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0\",\n \"path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds\",\n \"is executed by a P command self.paused_state = True elif c == \\\"N\\\":\",\n \"0 self.compact_state = False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on =\",\n \"Write data to the emulator including the header. This is intended for saved\",\n \"def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut()\",\n \"self.horizontal_major: self.left = not self.left self.x_on = True self.y_on = False if self.raster_step:\",\n \"c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif\",\n \"if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N command. self.laser\",\n \"self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\":\",\n \"class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data = data\",\n \"False self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state = False\",\n \"self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence triggered by 2 P\",\n \"self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y =\",\n \"self.execute_distance() # distance is executed by an N command. self.laser = 0 self.compact_state\",\n \"None self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0\",\n \"def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0\",\n \"self.filename = \\\"\\\" self.laser = 0 self.left = False self.top = False self.x_on\",\n \"self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d\",\n \"= \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\"\",\n \"= False self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements): self.path\",\n \"Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self,\",\n \"if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value +=\",\n \"self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode\",\n \"and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p\",\n \"self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements): self.path = Numpath()\",\n \"if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c in \\\"C\\\":\",\n \"self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader:\",\n \"self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer\",\n \"i in range(len(data)): b = data[i] c = chr(b) if c == \\\"\\\\n\\\":\",\n \"= 0 if self.paused_state: # Home sequence triggered by 2 P commands in\",\n \"c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\":\",\n \"len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c\",\n \"\\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\":\",\n \"self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left if not self.left\",\n \"c == \\\"B\\\": # Move to Right. if self.left and self.horizontal_major: # Was\",\n \"if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings =\",\n \"stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self):\",\n \"\\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"self.distance_x += self.raster_step elif self.mode == 0: # Homes then moves position. pass\",\n \"self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"= self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if\",\n \"position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None return cutcode\",\n \"cutcode = self._cutcode self._cut = None self._cutcode = None return cutcode def generate(self):\",\n \"header. This is intended for saved .egv files which include a default header.\",\n \"= p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y),\",\n \"<reponame>jpirnay/meerk40t<gh_stars>0 from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import\",\n \"\\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This should accurately reconstruct\",\n \"@property def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) !=\",\n \"commands in the same packet. # This should resume if not located within\",\n \"vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False\",\n \"all commands are black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c)\",\n \"c == \\\"%\\\": count_flag += 1 if count_lines >= 3 and count_flag >=\",\n \"if not located within the same packet. if self.position: self.position((self.x, self.y, 0, 0))\",\n \"@property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False\",\n \"\\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c in\",\n \"= False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump =\",\n \"self.paused_state: # Home sequence triggered by 2 P commands in the same packet.\",\n \"self.left = False self.top = False self.x_on = False self.y_on = False self.small_jump\",\n \"True self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state = False\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if\",\n \"if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position\",\n \"in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"if p is None or self._cut is None: new_cut() return from_x, from_y, to_x,\",\n \"= 0 self.finish_state = True self.paused_state = False else: self.execute_distance() # distance is\",\n \"= False self.returning_finished = True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished\",\n \"= 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if\",\n \"True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes then\",\n \"self.returning_finished = True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False\",\n \"self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x\",\n \"if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail\",\n \"return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context = self.context active =\",\n \"False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0\",\n \"= False self.returning_compact = False elif c in \\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code\",\n \"self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None or self._cut is\",\n \"context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds =\",\n \"= CutCode() self._cut = RawCut() def new_cut(): if self._cut is not None and\",\n \"the emulator including the header. This is intended for saved .egv files which\",\n \"\\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value)\",\n \"(\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname)\",\n \"commands are black holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return\",\n \"self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser\",\n \"Top if not self.top and not self.horizontal_major: # Was R switched to L\",\n \"raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step\",\n \"None or self._cut is None: new_cut() return from_x, from_y, to_x, to_y = p\",\n \"the position is changed it calls a self.position() function if one exists. \\\"\\\"\\\"\",\n \"= self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\"\",\n \"self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer =\",\n \"is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if\",\n \"if count_lines >= 3 and count_flag >= 5: return data[i:] def header_write(self, data):\",\n \"position is changed it calls a self.position() function if one exists. \\\"\\\"\\\" def\",\n \"Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\"\",\n \"position(p): if p is None: return from_x, from_y, to_x, to_y = p if\",\n \"self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True\",\n \"class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i\",\n \"= 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y =\",\n \"= None self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name,\",\n \"= name self.data = data self.operation = \\\"blob\\\" self._cutcode = None self._cut =\",\n \"False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on =\",\n \"the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y\",\n \"% self.name def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send\",\n \"self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0)\",\n \"% (dx, dy, self.x, self.y)) def process(self, b, c): if c == \\\"I\\\":\",\n \"def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount\",\n \"%d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode()\",\n \"1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value\",\n \"self.distance_x = 0 self.finish_state = True self.paused_state = False else: self.execute_distance() # distance\",\n \"self.compact_state = False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True\",\n \"c == \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag += 1\",\n \"= self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0,\",\n \"self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0,\",\n \"= 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename =\",\n \"= True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\"))\",\n \"False self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds = False\",\n \"if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or self.distance_y\",\n \"def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser()\",\n \"self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\")\",\n \"self.distance_x != 0 or self.distance_y != 0: dx = self.distance_x dy = self.distance_y\",\n \"self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser = 0 elif\",\n \"Bottom if self.top and not self.horizontal_major: # Was L switched to R with\",\n \"if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1 if self.channel:\",\n \"Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def\",\n \"True if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on = False\",\n \"# Was L switched to R with vertical rastering. if self.raster_step: self.distance_x +=\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c\",\n \"= self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y\",\n \"= \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings =\",\n \"= \\\"\\\" if self.compact_state: # Every command in compact state executes distances. self.execute_distance()\",\n \"self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on\",\n \"int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut =\",\n \"self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for\",\n \"self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\"\",\n \"self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" %\",\n \"self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else:\",\n \"the values. When the position is changed it calls a self.position() function if\",\n \"self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"self.raster_step self.left = False self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\")\",\n \"and self.horizontal_major: # Was T switched to B with horizontal rastering. if self.raster_step:\",\n \"if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL)\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2\",\n \"self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c):\",\n \"= 0 self.distance_y = 0 ox = self.x oy = self.y self.x +=\",\n \"self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: #\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value =\",\n \"if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value =\",\n \"c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home\",\n \"B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on\",\n \"now at %d %d\\\" % (dx, dy, self.x, self.y)) def process(self, b, c):\",\n \"\\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31])\",\n \"= True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": #\",\n \"= 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code =\",\n \"\\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal\",\n \"if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on = False if\",\n \"self.top = False self.x_on = False self.y_on = False self.small_jump = False self.returning_compact\",\n \"\\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a,\",\n \"vertical major self.top = not self.top self.x_on = False self.y_on = True if\",\n \"self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x\",\n \"if self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx, dy, self.x,\",\n \"\\\"\\\"\\\" def __init__(self): self.channel = None self.position = None self.board = \\\"M2\\\" self.header_skipped\",\n \"self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0, y0,\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if\",\n \"== \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state\",\n \"def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1\",\n \">= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value)\",\n \"= True self.laser = 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser\",\n \"self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished\",\n \"import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel\",\n \"not self.top and not self.horizontal_major: # Was R switched to L with vertical\",\n \"2 P commands in the same packet. # This should resume if not\",\n \"header_write(self, data): \\\"\\\"\\\" Write data to the emulator including the header. This is\",\n \"= %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer\",\n \"0 self.distance_y = 0 ox = self.x oy = self.y self.x += dx\",\n \"None self.position = None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0\",\n \"if self.position: self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y\",\n \"def __init__(self): self.channel = None self.position = None self.board = \\\"M2\\\" self.header_skipped =\",\n \"self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value +=\",\n \"= False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser\",\n \"bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut\",\n \"% (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut =\",\n \"to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x),\",\n \"= False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\":\",\n \"== \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: # Home sequence\",\n \"count_lines = 0 count_flag = 0 for i in range(len(data)): b = data[i]\",\n \"True self.paused_state = False else: self.execute_distance() # distance is executed by a P\",\n \"def parse(self, data, elements): self.path = Numpath() def position(p): if p is None:\",\n \"= self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode == 2:\",\n \"elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True\",\n \"+= 1 elif c == \\\"%\\\": count_flag += 1 if count_lines >= 3\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount\",\n \"process(self, b, c): if c == \\\"I\\\": self.finish_state = False self.compact_state = False\",\n \"with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on =\",\n \"return from_x, from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0:\",\n \"executed by a P command self.paused_state = True elif c == \\\"N\\\": if\",\n \"%d) now at %d %d\\\" % (dx, dy, self.x, self.y)) def process(self, b,\",\n \"amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self):\",\n \"which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data)\",\n \"T switched to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left\",\n \"None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0\",\n \"def position(p): if p is None: return from_x, from_y, to_x, to_y = p\",\n \"3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"self.top = True self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif\",\n \"\\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if\",\n \"parses LHYMicro-GL code with a state diagram. This should accurately reconstruct the values.\",\n \"False elif c == \\\"B\\\": # Move to Right. if self.left and self.horizontal_major:\",\n \">= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode = int(self.number_value)\",\n \"= 0 self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state =\",\n \"p is None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0,\",\n \"<= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif\",\n \"True self.laser = 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser =\",\n \"h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state = True\",\n \"self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if\",\n \"False self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step = 0\",\n \"self.channel = None self.position = None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines\",\n \"if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes then moves\",\n \"count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\"\",\n \"Axis: h=\\\" + str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state =\",\n \"LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data:\",\n \"== \\\"%\\\": count_flag += 1 if count_lines >= 3 and count_flag >= 5:\",\n \"c = chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif c ==\",\n \"self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state\",\n \"= self.distance_y if self.left: dx = -dx if self.top: dy = -dy self.distance_x\",\n \"def finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\"\",\n \"send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram. This\",\n \"self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b,\",\n \"+= 1 if count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod\",\n \"self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"= RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None or self._cut\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value +=\",\n \"b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \">= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if\",\n \"False else: self.execute_distance() # distance is executed by a P command self.paused_state =\",\n \"c == \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x\",\n \"\\\"\\\"\\\" Write data to the emulator including the header. This is intended for\",\n \"self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value\",\n \"self.left = not self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y\",\n \"active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs):\",\n \"# Move to Bottom if self.top and not self.horizontal_major: # Was L switched\",\n \"0, 0)) self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x =\",\n \"self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c in \\\"C\\\": if self.channel:\",\n \"import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import\",\n \"@staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname,\",\n \"True self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c ==\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"+ 1 - ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value\",\n \"if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value)\",\n \"with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on =\",\n \"0 count_flag = 0 for i in range(len(data)): b = data[i] c =\",\n \") elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return self.compact_state @property def default_mode(self): return not\",\n \"= Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y =\",\n \"elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state: #\",\n \"if self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state =\",\n \"False self.x_on = False self.y_on = False self.small_jump = False self.returning_compact = True\",\n \"Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self,\",\n \"dy = self.distance_y if self.left: dx = -dx if self.top: dy = -dy\",\n \"= False self.top = False self.x_on = False self.y_on = False self.small_jump =\",\n \"context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class\",\n \"!= 0: dx = self.distance_x dy = self.distance_y if self.left: dx = -dx\",\n \"distance is executed by an N command. self.laser = 0 self.compact_state = False\",\n \"= %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer\",\n \"None: return from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x,\",\n \"c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c ==\",\n \"(x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name\",\n \"self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0 self.left\",\n \"False if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top = not\",\n \"and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",),\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\"\",\n \"not located within the same packet. if self.position: self.position((self.x, self.y, 0, 0)) self.x\",\n \"range(len(data)): b = data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines +=\",\n \"if not self.left and self.horizontal_major: # Was T switched to B with horizontal\",\n \"= p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def __repr__(self): return\",\n \"self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args,\",\n \"import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def\",\n \"== \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\":\",\n \"None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if\",\n \"self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"count_flag += 1 if count_lines >= 3 and count_flag >= 5: return data[i:]\",\n \"self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on = True if\",\n \"self.y)) def process(self, b, c): if c == \\\"I\\\": self.finish_state = False self.compact_state\",\n \"self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c == \\\"@\\\": if\",\n \"self.name def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send =\",\n \"if not self.top and not self.horizontal_major: # Was R switched to L with\",\n \"return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag = 0\",\n \"1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"- ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c\",\n \"= None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag =\",\n \"Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact = True self.laser =\",\n \"from_y, to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y),\",\n \"self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode\",\n \"to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, )\",\n \"\\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser\",\n \"self.small_jump = False elif c == \\\"B\\\": # Move to Right. if self.left\",\n \"0 self.distance_y = 0 if self.finish_state: # In finished all commands are black\",\n \"data): \\\"\\\"\\\" Write data to the emulator including the header. This is intended\",\n \"Home sequence triggered by 2 P commands in the same packet. # This\",\n \"== \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c ==\",\n \"self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self): if self.distance_x !=\",\n \"not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p):\",\n \"% self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value +=\",\n \"Left if not self.left and self.horizontal_major: # Was T switched to B with\",\n \"should accurately reconstruct the values. When the position is changed it calls a\",\n \"self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\":\",\n \"self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False\",\n \"write(self, data): for b in data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value +=\",\n \"self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N command. self.laser =\",\n \"b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b))\",\n \"None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if\",\n \"for saved .egv files which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data)\",\n \"context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def\",\n \"self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x\",\n \"= True self.returning_finished = False self.returning_compact = True self.laser = 0 elif c\",\n \"= -dy self.distance_x = 0 self.distance_y = 0 ox = self.x oy =\",\n \"%d %d\\\" % (dx, dy, self.x, self.y)) def process(self, b, c): if c\",\n \"= 0 self.filename = \\\"\\\" self.laser = 0 self.left = False self.top =\",\n \"1 if count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod def\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\" %\",\n \"self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def\",\n \"if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\": # Move to Bottom if self.top\",\n \"self.small_jump else 255) self.small_jump = False elif c == \\\"B\\\": # Move to\",\n \"self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag\",\n \"B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self,\",\n \"def initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\"\",\n \"if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on =\",\n \"not self.left self.x_on = True self.y_on = False if self.raster_step: self.distance_y += self.raster_step\",\n \"self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer\",\n \"self.laser = 0 self.left = False self.top = False self.x_on = False self.y_on\",\n \"self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis:\",\n \"self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel:\",\n \"<= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif c ==\",\n \"self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b\",\n \"= self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"False self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished = False\",\n \"data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the emulator including the header.\",\n \"= int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on:\",\n \"if self.x_on: self.distance_x += amount if self.y_on: self.distance_y += amount def execute_distance(self): if\",\n \"True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump\",\n \"def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value =\",\n \"diagram. This should accurately reconstruct the values. When the position is changed it\",\n \"0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data)\",\n \"= False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode ==\",\n \"= 0 self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major =\",\n \"\\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if\",\n \"None: if self.returning_compact: self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major:\",\n \"elif c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer\",\n \"if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"= \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"not self.left and self.horizontal_major: # Was T switched to B with horizontal rastering.\",\n \"self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\")\",\n \"y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args,\",\n \"open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename,\",\n \"self.raster_step self.top = False self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\")\",\n \"if one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position = None self.board\",\n \"self.laser = 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if\",\n \"self.name = name self.data = data self.operation = \\\"blob\\\" self._cutcode = None self._cut\",\n \"1 if count_lines >= 3 and count_flag >= 5: return data[i:] def header_write(self,\",\n \"True self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c ==\",\n \"self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on))\",\n \"self.distance_x dy = self.distance_y if self.left: dx = -dx if self.top: dy =\",\n \"from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x,\",\n \"header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet):\",\n \"if self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at\",\n \"(%d %d) now at %d %d\\\" % (dx, dy, self.x, self.y)) def process(self,\",\n \"LihuiyuParser parses LHYMicro-GL code with a state diagram. This should accurately reconstruct the\",\n \"\\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an N command.\",\n \"% self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self,\",\n \"ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\":\",\n \"self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance()\",\n \"default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self,\",\n \"len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position =\",\n \"meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath\",\n \"!= 0 or self.distance_y != 0: dx = self.distance_x dy = self.distance_y if\",\n \"# Was T switched to B with horizontal rastering. if self.raster_step: self.distance_y +=\",\n \"\\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag =\",\n \"= True self.returning_finished = False self.mode = None self.raster_step = 0 self.paused_state =\",\n \"0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0\",\n \"None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser\",\n \"c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by an\",\n \"CutCode() self._cut = RawCut() def new_cut(): if self._cut is not None and len(self._cut):\",\n \"3 and count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data\",\n \"self._cut.settings = dict(parser.settings) def position(p): if p is None or self._cut is None:\",\n \"self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\"\",\n \"= self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Raster Step = %s\\\"\",\n \"self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on = False\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value\",\n \"self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data):\",\n \"dx = -dx if self.top: dy = -dy self.distance_x = 0 self.distance_y =\",\n \"False self.fix_speeds = False self.number_consumer = {} def parse(self, data, elements): self.path =\",\n \"self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 =\",\n \"data: self.process(b, chr(b)) def distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"resume if not located within the same packet. if self.position: self.position((self.x, self.y, 0,\",\n \"self.position: self.position((ox, oy, self.x, self.y)) if self.channel: self.channel(\\\"Moving (%d %d) now at %d\",\n \"the same packet. # This should resume if not located within the same\",\n \"self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\")\",\n \"= False else: self.execute_distance() # distance is executed by a P command self.paused_state\",\n \"self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c == \\\"R\\\":\",\n \"self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1\",\n \"self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on = True\",\n \"distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <=\",\n \"= chr(b) if c == \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\":\",\n \"self.distance_y = 0 ox = self.x oy = self.y self.x += dx self.y\",\n \"self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to\",\n \"one exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position = None self.board =\",\n \"self.laser = 0 self.compact_state = False if self.position: self.position(None) elif c == \\\"M\\\":\",\n \"self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c == \\\"@\\\": if self.channel:\",\n \"self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None\",\n \"else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode\",\n \"self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode\",\n \"True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not self.left self.x_on\",\n \"complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings,\",\n \"elif c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c\",\n \"b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self,\",\n \"if c == \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state = False\",\n \"False self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode = None\",\n \"len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" % self.number_value) self.mode =\",\n \"Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c\",\n \"= pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs): context\",\n \"== 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position\",\n \"RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module\",\n \"# Move to Left if not self.left and self.horizontal_major: # Was T switched\",\n \"else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" %\",\n \"== \\\"B\\\": # Move to Right. if self.left and self.horizontal_major: # Was T\",\n \"class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser\",\n \"if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left if not\",\n \"False self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {}\",\n \"= None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if\",\n \"self.returning_compact = False self.returning_finished = True elif c == \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\")\",\n \"= True if self.horizontal_major: self.left = not self.left self.x_on = True self.y_on =\",\n \"self.channel: self.channel(\\\"Raster Step = %s\\\" % self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\"\",\n \"exists. \\\"\\\"\\\" def __init__(self): self.channel = None self.position = None self.board = \\\"M2\\\"\",\n \"LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None:\",\n \"command. self.laser = 0 self.compact_state = False if self.position: self.position(None) elif c ==\",\n \"self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer\",\n \"= False self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c\",\n \"b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data =\",\n \"c == \\\"M\\\": self.x_on = True self.y_on = True if self.channel: a =\",\n \"LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for\",\n \"parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None return cutcode def\",\n \"self.x, self.y)) def process(self, b, c): if c == \\\"I\\\": self.finish_state = False\",\n \"def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode\",\n \"self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return\",\n \"self._cut is None: new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode:\",\n \"= self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if self.channel:\",\n \">= 5: return data[i:] @staticmethod def load_types(): yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod\",\n \"= \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if\",\n \"the header. This is intended for saved .egv files which include a default\",\n \"if p is None: return from_x, from_y, to_x, to_y = p if self.program_mode:\",\n \"self._cut = RawCut() def new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut)\",\n \"self.distance_y += self.raster_step else: # vertical major self.top = not self.top self.x_on =\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value)\",\n \"== \\\"M\\\": self.x_on = True self.y_on = True if self.channel: a = \\\"Top\\\"\",\n \"Mode = %s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value\",\n \"self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut is not None\",\n \"and not self.horizontal_major: # Was L switched to R with vertical rastering. if\",\n \"self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def\",\n \"self.laser = 0 if self.paused_state: # Home sequence triggered by 2 P commands\",\n \"0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\") self.laser = 0 if self.paused_state:\",\n \"In finished all commands are black holed return if ord(\\\"0\\\") <= b <=\",\n \"0 if self.finish_state: # In finished all commands are black holed return if\",\n \"self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move to Top if not self.top and\",\n \"it calls a self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel =\",\n \"is intended for saved .egv files which include a default header. \\\"\\\"\\\" if\",\n \"speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2\",\n \"load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as\",\n \"elif c == \\\"M\\\": self.x_on = True self.y_on = True if self.channel: a\",\n \"yield \\\"Engrave Files\\\", (\\\"egv\\\",), \\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os\",\n \"\\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b +\",\n \"= False self.y_on = False self.small_jump = False self.returning_compact = True self.returning_finished =\",\n \"3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"= False self.paused_state = False self.distance_x = 0 self.distance_y = 0 if self.finish_state:\",\n \"if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel:\",\n \"__init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds\",\n \"\\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray,\",\n \"code with a state diagram. This should accurately reconstruct the values. When the\",\n \"if self.left: dx = -dx if self.top: dy = -dy self.distance_x = 0\",\n \"self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\")\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" %\",\n \"def raster_mode(self): return self.settings.get(\\\"raster_step\\\", 0) != 0 def new_file(self): self.header_skipped = False self.count_flag\",\n \"0 or self.distance_y != 0: dx = self.distance_x dy = self.distance_y if self.left:\",\n \"def position(p): if p is None or self._cut is None: new_cut() return from_x,\",\n \"program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self): return\",\n \"len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value =\",\n \"to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position\",\n \"= None self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state =\",\n \"= 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0 self.left =\",\n \"count_lines += 1 elif c == \\\"%\\\": count_flag += 1 if count_lines >=\",\n \"= not self.top self.x_on = False self.y_on = True if self.raster_step: self.distance_x +=\",\n \"# Every command in compact state executes distances. self.execute_distance() if c == \\\"|\\\":\",\n \"self.top = False self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif\",\n \"if self.finish_state: # In finished all commands are black holed return if ord(\\\"0\\\")\",\n \"Move to Top if not self.top and not self.horizontal_major: # Was R switched\",\n \"c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value)\",\n \"%s %s\\\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name\",\n \"is None: return from_x, from_y, to_x, to_y = p if self.program_mode: if self.laser:\",\n \"self.raster_step self.top = True self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\")\",\n \"from_y, to_x, to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y))\",\n \"== \\\"@\\\": if self.channel: self.channel(\\\"Reset\\\") self.returning_finished = False self.returning_compact = False elif c\",\n \"+= c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" %\",\n \"c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact:\",\n \"def process(self, b, c): if c == \\\"I\\\": self.finish_state = False self.compact_state =\",\n \"from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path)\",\n \"= False self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state =\",\n \"= False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines =\",\n \"self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes then moves position.\",\n \"= False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on\",\n \"self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"self.position = None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag\",\n \"\\\"\\\" self.laser = 0 self.left = False self.top = False self.x_on = False\",\n \"= \\\"\\\" self.distance_x = 0 self.distance_y = 0 self.filename = \\\"\\\" self.laser =\",\n \"== \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b\",\n \"B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on\",\n \"= \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed by\",\n \"rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on\",\n \"= True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif\",\n \"Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0\",\n \"c == \\\"R\\\": # Move to Bottom if self.top and not self.horizontal_major: #\",\n \"self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on = True self.y_on = False\",\n \"self.channel: self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx, dy, self.x, self.y))\",\n \"self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on = False self.y_on = True\",\n \"None self._cut = None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data))\",\n \"if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"if self.top and not self.horizontal_major: # Was L switched to R with vertical\",\n \"if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top = not self.top\",\n \"== 0: # Homes then moves position. pass elif self.mode == 1: self.compact_state\",\n \"= self._cutcode self._cut = None self._cutcode = None return cutcode def generate(self): yield\",\n \"\\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser() self._cutcode =\",\n \"by an N command. self.laser = 0 self.compact_state = False if self.position: self.position(None)\",\n \"self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state = True if self.returning_finished:\",\n \"b = data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines += 1\",\n \"1 if self.channel: self.channel(\\\"Laser On\\\") elif c == \\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact\",\n \"switched to L with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top =\",\n \"self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x = 0.0 self.y\",\n \"= False self.compact_state = False self.finish_state = False self.horizontal_major = False self.fix_speeds =\",\n \"int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x\",\n \"= None def __repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self):\",\n \"@property def program_mode(self): return self.compact_state @property def default_mode(self): return not self.compact_state @property def\",\n \"elif self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished = False\",\n \"self.position((self.x, self.y, 0, 0)) self.x = 0 self.y = 0 self.distance_y = 0\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c):\",\n \"= self.y self.x += dx self.y += dy if self.position: self.position((ox, oy, self.x,\",\n \"pathname, **kwargs): import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch\",\n \"is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def\",\n \"x1, y1)) self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self,\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\"\",\n \"Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self,\",\n \"= 0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True self.paused_state =\",\n \"self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump\",\n \"= self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses\",\n \"meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool,\",\n \"self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:\",\n \"self.x = 0 self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state\",\n \"p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position self.write(data)\",\n \"import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\",\",\n \"initialize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" %\",\n \"self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" % active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\"\",\n \"self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on: self.distance_y +=\",\n \"def remove_header(data): count_lines = 0 count_flag = 0 for i in range(len(data)): b\",\n \"a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def\",\n \"if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if self.returning_compact: self.compact_state = True\",\n \"horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True\",\n \"= data self.operation = \\\"blob\\\" self._cutcode = None self._cut = None def __repr__(self):\",\n \"ox = self.x oy = self.y self.x += dx self.y += dy if\",\n \"<= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\"\",\n \"= 0 for i in range(len(data)): b = data[i] c = chr(b) if\",\n \"N command. self.laser = 0 self.compact_state = False if self.position: self.position(None) elif c\",\n \"self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command in compact\",\n \"None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def\",\n \"\\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if\",\n \"to Right. if self.left and self.horizontal_major: # Was T switched to B with\",\n \"else 255) self.small_jump = False elif c == \\\"B\\\": # Move to Right.\",\n \"state diagram. This should accurately reconstruct the values. When the position is changed\",\n \"= None self.position = None self.board = \\\"M2\\\" self.header_skipped = False self.count_lines =\",\n \"Module.__init__(self, context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel\",\n \"with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True self.x_on =\",\n \"from_y), complex(to_x, to_y)) self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"),\",\n \"\\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"= p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position = position\",\n \"= -dx if self.top: dy = -dy self.distance_x = 0 self.distance_y = 0\",\n \"dict(parser.settings) def position(p): if p is None or self._cut is None: new_cut() return\",\n \"# distance is executed by a P command self.paused_state = True elif c\",\n \"dy = -dy self.distance_x = 0 self.distance_y = 0 ox = self.x oy\",\n \"= True self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c\",\n \"Homes then moves position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major\",\n \"if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value\",\n \"else: self.execute_distance() # distance is executed by a P command self.paused_state = True\",\n \"to Top if not self.top and not self.horizontal_major: # Was R switched to\",\n \"= position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode = None return\",\n \"self.distance_y = 0 if self.finish_state: # In finished all commands are black holed\",\n \"self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer\",\n \"self.board = \\\"M2\\\" self.header_skipped = False self.count_lines = 0 self.count_flag = 0 self.settings\",\n \"count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod def load_types(): yield\",\n \"self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"@staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i in range(len(data)):\",\n \"UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color\",\n \"0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None\",\n \"= False self.x_on = False self.y_on = False self.small_jump = False self.returning_compact =\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if\",\n \"is changed it calls a self.position() function if one exists. \\\"\\\"\\\" def __init__(self):\",\n \"send = context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context\",\n \"\\\"B\\\": # Move to Right. if self.left and self.horizontal_major: # Was T switched\",\n \"if c == \\\"|\\\": self.append_distance(25) self.small_jump = True elif ord(\\\"a\\\") <= b <=\",\n \"= self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer\",\n \"def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode\",\n \"0 self.distance_y = 0 self.filename = \\\"\\\" self.laser = 0 self.left = False\",\n \"%s\\\" % self.number_value) self.mode = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def\",\n \"else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for\",\n \"speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Accel\",\n \"is executed by an N command. self.laser = 0 self.compact_state = False if\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c):\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value)\",\n \"self.x += dx self.y += dy if self.position: self.position((ox, oy, self.x, self.y)) if\",\n \"saved .egv files which include a default header. \\\"\\\"\\\" if self.header_skipped: self.write(data) else:\",\n \"self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" % self.number_value) self.number_value =\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B1 =\",\n \"else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command in\",\n \"self.channel(\\\"Speedcode Accel = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def\",\n \"= context.channel(\\\"%s/usb_send\\\" % active) send.watch(self.parser.write_packet) def finalize(self, *args, **kwargs): context = self.context active\",\n \"position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property\",\n \"c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c\",\n \"ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: #\",\n \"parse(self, data, elements): self.path = Numpath() def position(p): if p is None: return\",\n \"self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished = False self.returning_compact\",\n \"parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode\",\n \"self.horizontal_major: # Was R switched to L with vertical rastering. if self.raster_step: self.distance_x\",\n \"self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel:\",\n \"= 0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag =\",\n \"(a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data\",\n \"major self.top = not self.top self.x_on = False self.y_on = True if self.raster_step:\",\n \"self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in \\\"G\\\":\",\n \"0) != 0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines =\",\n \"self.speedcode_b1_consumer elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif\",\n \"+= self.raster_step elif self.mode == 0: # Homes then moves position. pass elif\",\n \"= True if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b =\",\n \"distance is executed by a P command self.paused_state = True elif c ==\",\n \"self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\" self.distance_x = 0 self.distance_y\",\n \"R with vertical rastering. if self.raster_step: self.distance_x += self.raster_step self.top = False self.x_on\",\n \"position. pass elif self.mode == 1: self.compact_state = True self.horizontal_major = self.x_on if\",\n \">= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to the emulator\",\n \"self.compact_state = True if self.returning_finished: self.finish_state = True if self.horizontal_major: self.left = not\",\n \"to_y = p if self.program_mode: if self.laser: self.path.line(complex(from_x, from_y), complex(to_x, to_y)) self.position =\",\n \"0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod\",\n \"= True self.y_on = True if self.channel: a = \\\"Top\\\" if self.top else\",\n \"self.channel(\\\"Moving (%d %d) now at %d %d\\\" % (dx, dy, self.x, self.y)) def\",\n \"self.mode == 0: # Homes then moves position. pass elif self.mode == 1:\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value\",\n \"False self.y_on = True if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser =\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x +=\",\n \"= True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is\",\n \"is None: new_cut() return from_x, from_y, to_x, to_y = p if parser.program_mode: if\",\n \"# Homes then moves position. pass elif self.mode == 1: self.compact_state = True\",\n \"EgvLoader: @staticmethod def remove_header(data): count_lines = 0 count_flag = 0 for i in\",\n \"self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0}) self.speed_code = None self.x\",\n \"c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def\",\n \"remove_header(data): count_lines = 0 count_flag = 0 for i in range(len(data)): b =\",\n \"= False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": #\",\n \"if self.channel: self.channel(\\\"Speedcode B2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"if count_lines >= 3 and count_flag >= 5: return data[i:] @staticmethod def load_types():\",\n \"self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def __init__(self, data: bytearray, name=None):\",\n \"\\\"F\\\": if self.channel: self.channel(\\\"Finish\\\") self.returning_compact = False self.returning_finished = True elif c ==\",\n \"True self.y_on = False if self.raster_step: self.distance_y += self.raster_step else: # vertical major\",\n \"Move to Right. if self.left and self.horizontal_major: # Was T switched to B\",\n \"active) send.unwatch(self.parser.write_packet) class LihuiyuParser: \\\"\\\"\\\" LihuiyuParser parses LHYMicro-GL code with a state diagram.\",\n \"if self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def\",\n \"= None return cutcode def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod\",\n \"False self.x_on = False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c ==\",\n \"\\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer\",\n \"= False elif c == \\\"B\\\": # Move to Right. if self.left and\",\n \"\\\"C\\\": if self.channel: self.channel(\\\"Speedcode\\\") self.speed_code = \\\"\\\" elif c in \\\"V\\\": self.raster_step =\",\n \"= False if self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top =\",\n \"== \\\"R\\\": # Move to Bottom if self.top and not self.horizontal_major: # Was\",\n \"holed return if ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer =\",\n \"finalize(self, *args, **kwargs): context = self.context active = self.context.root.active send = context.channel(\\\"%s/usb_send\\\" %\",\n \"False self.y_on = True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0:\",\n \"as_cutobjects(self): parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if\",\n \"False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def parse(self, data,\",\n \"self.finish_state = False self.horizontal_major = False self.fix_speeds = False self.number_consumer = {} def\",\n \"new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0 @staticmethod def remove_header(data):\",\n \"if self.channel: self.channel(\\\"Top\\\") elif c == \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser\",\n \"self.raster_step self.left = True self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\")\",\n \"= 0 count_flag = 0 for i in range(len(data)): b = data[i] c\",\n \"c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif c ==\",\n \"True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance is executed\",\n \"True if self.channel: a = \\\"Top\\\" if self.top else \\\"Bottom\\\" b = \\\"Left\\\"\",\n \"meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path):\",\n \"\\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"if self.raster_step: self.distance_y += self.raster_step self.left = False self.x_on = True self.y_on =\",\n \"self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"to Bottom if self.top and not self.horizontal_major: # Was L switched to R\",\n \"from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from meerk40t.numpath import Numpath from\",\n \"return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position\",\n \"import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module): def __init__(self, context, path): Module.__init__(self,\",\n \"self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def\",\n \"self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c): self.number_value += c if\",\n \"self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\")\",\n \"{} def parse(self, data, elements): self.path = Numpath() def position(p): if p is\",\n \">= 3: if self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value =\",\n \"elif c == \\\"E\\\": if self.channel: self.channel(\\\"Execute State\\\") if self.mode is None: if\",\n \"compact state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25) self.small_jump = True\",\n \"b1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_dratio_b2_consumer def speedcode_dratio_b2_consumer(self,\",\n \"3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\" def speedcode_b1_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"%s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value\",\n \"__repr__(self): return \\\"EGV(%s, %d bytes)\\\" % (self.name, len(self.data)) def as_cutobjects(self): parser = LihuiyuParser()\",\n \"== \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag += 1 if\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c):\",\n \"self.distance_y != 0: dx = self.distance_x dy = self.distance_y if self.left: dx =\",\n \"self.path = Numpath() def position(p): if p is None: return from_x, from_y, to_x,\",\n \"Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser\",\n \"\\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x = 0\",\n \"__init__(self): self.channel = None self.position = None self.board = \\\"M2\\\" self.header_skipped = False\",\n \"elif ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump =\",\n \"= self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command in compact state\",\n \"if self.top else \\\"Bottom\\\" b = \\\"Left\\\" if self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s\",\n \"ord(\\\"a\\\") <= b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False\",\n \"3: if self.channel: self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer\",\n \"== \\\"L\\\": # Move to Top if not self.top and not self.horizontal_major: #\",\n \"+= c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode = %s\\\" %\",\n \"self.channel: self.channel(\\\"Speedcode Dratio b2 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer =\",\n \"Off\\\") elif c == \\\"D\\\": self.laser = 1 if self.channel: self.channel(\\\"Laser On\\\") elif\",\n \"and count_flag >= 5: return data[i:] def header_write(self, data): \\\"\\\"\\\" Write data to\",\n \"new_cut() parser.position = position parser.header_write(self.data) cutcode = self._cutcode self._cut = None self._cutcode =\",\n \"if self.left and self.horizontal_major: # Was T switched to B with horizontal rastering.\",\n \"\\\"T\\\": # Move to Left if not self.left and self.horizontal_major: # Was T\",\n \"oy = self.y self.x += dx self.y += dy if self.position: self.position((ox, oy,\",\n \"== 1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\"\",\n \"1000.0}) self.speed_code = None self.x = 0.0 self.y = 0.0 self.number_value = \\\"\\\"\",\n \"from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL from meerk40t.kernel import Module from\",\n \"self.raster_step else: # vertical major self.top = not self.top self.x_on = False self.y_on\",\n \"self.left else \\\"Right\\\" self.channel(\\\"Diagonal %s %s\\\" % (a, b)) class EGVBlob: def __init__(self,\",\n \"os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\",\",\n \"from meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class\",\n \"True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" + str(self.x_on)) elif self.mode\",\n \"including the header. This is intended for saved .egv files which include a\",\n \"= True if self.raster_step: self.distance_x += self.raster_step elif self.mode == 0: # Homes\",\n \"to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = True\",\n \"int(from_y), parser.laser) self._cut.plot_append(int(to_x), int(to_y), parser.laser) else: new_cut() parser.position = position parser.header_write(self.data) cutcode =\",\n \"self.distance_y += amount def execute_distance(self): if self.distance_x != 0 or self.distance_y != 0:\",\n \"x1, y1 = p self.context.signal(\\\"emulator;position\\\", (x0, y0, x1, y1)) self.parser.position = pos def\",\n \"dx = self.distance_x dy = self.distance_y if self.left: dx = -dx if self.top:\",\n \"Every command in compact state executes distances. self.execute_distance() if c == \\\"|\\\": self.append_distance(25)\",\n \"False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if\",\n \"0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer elif c == \\\"E\\\": if\",\n \"to B with horizontal rastering. if self.raster_step: self.distance_y += self.raster_step self.left = False\",\n \"EGVBlob: def __init__(self, data: bytearray, name=None): self.name = name self.data = data self.operation\",\n \"data, elements): self.path = Numpath() def position(p): if p is None: return from_x,\",\n \"or self.distance_y != 0: dx = self.distance_x dy = self.distance_y if self.left: dx\",\n \"to_x, to_y = p if parser.program_mode: if len(self._cut.plot) == 0: self._cut.plot_append(int(from_x), int(from_y), parser.laser)\",\n \"== \\\"I\\\": self.finish_state = False self.compact_state = False self.paused_state = False self.distance_x =\",\n \"False self.y_on = True if self.channel: self.channel(\\\"Bottom\\\") elif c == \\\"L\\\": # Move\",\n \"c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\" %\",\n \"0 self.count_lines = 0 @staticmethod def remove_header(data): count_lines = 0 count_flag = 0\",\n \"self.position = position self.write(data) self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\",\",\n \"meerk40t.kernel import Module from meerk40t.numpath import Numpath from meerk40t.svgelements import Color class LihuiyuEmulator(Module):\",\n \"c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Speedcode Accel =\",\n \"1 - ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump\",\n \"0 self.y = 0 self.distance_y = 0 self.distance_x = 0 self.finish_state = True\",\n \"self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state = False self.horizontal_major\",\n \"self.small_jump = False self.returning_compact = True self.returning_finished = False self.mode = None self.raster_step\",\n \"1: self.compact_state = True self.horizontal_major = self.x_on if self.channel: self.channel(\\\"Setting Axis: h=\\\" +\",\n \"self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c\",\n \"write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b)) def\",\n \"new_cut(): if self._cut is not None and len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings\",\n \"None self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state = False\",\n \"!= 0 def new_file(self): self.header_skipped = False self.count_flag = 0 self.count_lines = 0\",\n \"self.position(None) elif c == \\\"M\\\": self.x_on = True self.y_on = True if self.channel:\",\n \"b <= ord(\\\"y\\\"): self.append_distance(b + 1 - ord(\\\"a\\\")) self.small_jump = False elif c\",\n \"LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut is not\",\n \"self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if self.y_on:\",\n \"not self.horizontal_major: # Was L switched to R with vertical rastering. if self.raster_step:\",\n \"return self.compact_state @property def default_mode(self): return not self.compact_state @property def raster_mode(self): return self.settings.get(\\\"raster_step\\\",\",\n \"distance_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: self.append_distance(int(self.number_value)) self.number_value = \\\"\\\"\",\n \"self.number_value) self.raster_step = int(self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def mode_consumer(self, c):\",\n \"ord(\\\"a\\\")) self.small_jump = False elif c == \\\"z\\\": self.append_distance(26 if self.small_jump else 255)\",\n \"0 self.left = False self.top = False self.x_on = False self.y_on = False\",\n \"changed it calls a self.position() function if one exists. \\\"\\\"\\\" def __init__(self): self.channel\",\n \"\\\"z\\\": self.append_distance(26 if self.small_jump else 255) self.small_jump = False elif c == \\\"B\\\":\",\n \"+= self.raster_step self.left = False self.x_on = True self.y_on = False if self.channel:\",\n \"in range(len(data)): b = data[i] c = chr(b) if c == \\\"\\\\n\\\": count_lines\",\n \"= True self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Left\\\") elif c\",\n \"self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is None or\",\n \"not self.horizontal_major: # Was R switched to L with vertical rastering. if self.raster_step:\",\n \"elif c in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c\",\n \"__init__(self, data: bytearray, name=None): self.name = name self.data = data self.operation = \\\"blob\\\"\",\n \"\\\"application/x-egv\\\" @staticmethod def load(kernel, elements_modifier, pathname, **kwargs): import os basename = os.path.basename(pathname) with\",\n \"self.paused_state = True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() # distance\",\n \"to Left if not self.left and self.horizontal_major: # Was T switched to B\",\n \"# Move to Top if not self.top and not self.horizontal_major: # Was R\",\n \"= %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.distance_consumer def raster_step_consumer(self, c):\",\n \"elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode\",\n \"= \\\"\\\" self.number_consumer = self.speedcode_mult_consumer def speedcode_mult_consumer(self, c): self.number_value += c if len(self.number_value)\",\n \"command self.paused_state = True elif c == \\\"N\\\": if self.channel: self.channel(\\\"N\\\") self.execute_distance() #\",\n \"from meerk40t.core.cutcode import CutCode, RawCut from meerk40t.core.parameters import Parameters from meerk40t.core.units import UNITS_PER_MIL\",\n \"self._cutcode self._cut = None self._cutcode = None return cutcode def generate(self): yield \\\"blob\\\",\",\n \"= os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())),\",\n \"= 0 self.compact_state = False if self.position: self.position(None) elif c == \\\"M\\\": self.x_on\",\n \"self.channel(\\\"Speedcode B1 = %s\\\" % self.number_value) self.number_value = \\\"\\\" self.number_consumer = self.speedcode_b2_consumer def\",\n \"self.path.uscale(UNITS_PER_MIL) elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self):\",\n \"self.left = False self.x_on = True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif\",\n \"False self.count_lines = 0 self.count_flag = 0 self.settings = Parameters({\\\"speed\\\": 20.0, \\\"power\\\": 1000.0})\",\n \"str(self.x_on)) elif self.mode == 2: # Rail unlocked. self.compact_state = True self.returning_finished =\",\n \"self.x_on = True self.y_on = True if self.channel: a = \\\"Top\\\" if self.top\",\n \"elements.elem_branch.add( type=\\\"elem numpath\\\", path=self.path, stroke=Color(\\\"black\\\"), **self.settings.settings, ) elements.signal(\\\"refresh_scene\\\", 0) @property def program_mode(self): return\",\n \"\\\"\\\" self.number_consumer = self.speedcode_mult_consumer def append_distance(self, amount): if self.x_on: self.distance_x += amount if\",\n \"if c == \\\"\\\\n\\\": count_lines += 1 elif c == \\\"%\\\": count_flag +=\",\n \"self.returning_compact = True self.laser = 0 elif c == \\\"P\\\": if self.channel: self.channel(\\\"Pause\\\")\",\n \"in the same packet. # This should resume if not located within the\",\n \"(dx, dy, self.x, self.y)) def process(self, b, c): if c == \\\"I\\\": self.finish_state\",\n \"same packet. # This should resume if not located within the same packet.\",\n \"rastering. if self.raster_step: self.distance_x += self.raster_step self.top = True self.x_on = False self.y_on\",\n \"+= c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio b1 = %s\\\"\",\n \"\\\"\\\" self.number_consumer = self.speedcode_dratio_b1_consumer def speedcode_dratio_b1_consumer(self, c): self.number_value += c if len(self.number_value) >=\",\n \"f: op_branch = elements_modifier.get(type=\\\"branch ops\\\") op_branch.add( data=bytearray(EgvLoader.remove_header(f.read())), data_type=\\\"egv\\\", type=\\\"blob\\\", name=basename, ) return True\",\n \"c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode =\",\n \"parser = LihuiyuParser() self._cutcode = CutCode() self._cut = RawCut() def new_cut(): if self._cut\",\n \"in \\\"G\\\": if self.channel: self.channel(\\\"Step Value\\\") self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\":\",\n \"return else: self.number_consumer = self.distance_consumer self.number_value = \\\"\\\" if self.compact_state: # Every command\",\n \"self.mode = None self.raster_step = 0 self.paused_state = False self.compact_state = False self.finish_state\",\n \"position(p): if p is None or self._cut is None: new_cut() return from_x, from_y,\",\n \"mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set Mode\",\n \"pos(p): if p is None: return x0, y0, x1, y1 = p self.context.signal(\\\"emulator;position\\\",\",\n \"\\\"\\\" elif c in \\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer =\",\n \"self.parser.channel = self.context.channel(\\\"lhy\\\") def pos(p): if p is None: return x0, y0, x1,\",\n \"elif c == \\\"T\\\": # Move to Left if not self.left and self.horizontal_major:\",\n \"self.number_consumer = self.speedcode_accel_consumer def speedcode_accel_consumer(self, c): self.number_value += c if len(self.number_value) >= 1:\",\n \"c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode B2 =\",\n \"speedcode_dratio_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3: if self.channel: self.channel(\\\"Speedcode Dratio\",\n \"== \\\"U\\\": self.laser = 0 if self.channel: self.channel(\\\"Laser Off\\\") elif c == \\\"D\\\":\",\n \"self.raster_step: self.distance_y += self.raster_step else: # vertical major self.top = not self.top self.x_on\",\n \"self.execute_distance() # distance is executed by a P command self.paused_state = True elif\",\n \"import os basename = os.path.basename(pathname) with open(pathname, \\\"rb\\\") as f: op_branch = elements_modifier.get(type=\\\"branch\",\n \"self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left if not self.left and\",\n \"= True self.y_on = False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": #\",\n \"len(self._cut): self._cutcode.append(self._cut) self._cut = RawCut() self._cut.settings = dict(parser.settings) def position(p): if p is\",\n \"elif c == \\\"R\\\": # Move to Bottom if self.top and not self.horizontal_major:\",\n \"self.top and not self.horizontal_major: # Was L switched to R with vertical rastering.\",\n \"ord(\\\"0\\\") <= b <= ord(\\\"9\\\"): self.number_consumer(c) return else: self.number_consumer = self.distance_consumer self.number_value =\",\n \"def generate(self): yield \\\"blob\\\", \\\"egv\\\", LihuiyuParser.remove_header(self.data) class EgvLoader: @staticmethod def remove_header(data): count_lines =\",\n \"+= self.raster_step self.left = True self.x_on = True self.y_on = False if self.channel:\",\n \"self.number_consumer = self.raster_step_consumer elif c == \\\"S\\\": if self.channel: self.channel(\\\"Mode Set\\\") self.laser =\",\n \"context, path) self.context.setting(bool, \\\"fix_speeds\\\", False) self.parser = LihuiyuParser() self.parser.fix_speeds = self.context.fix_speeds self.parser.channel =\",\n \"self.number_consumer = self.speedcode_b2_consumer def speedcode_b2_consumer(self, c): self.number_value += c if len(self.number_value) >= 3:\",\n \"accurately reconstruct the values. When the position is changed it calls a self.position()\",\n \"= 0 self.distance_x = 0 self.finish_state = True self.paused_state = False else: self.execute_distance()\",\n \"def mode_consumer(self, c): self.number_value += c if len(self.number_value) >= 1: if self.channel: self.channel(\\\"Set\",\n \"self.top: dy = -dy self.distance_x = 0 self.distance_y = 0 ox = self.x\",\n \"p is None or self._cut is None: new_cut() return from_x, from_y, to_x, to_y\",\n \"self.channel: self.channel(\\\"Mode Set\\\") self.laser = 0 self.execute_distance() self.mode = None self.number_consumer = self.mode_consumer\",\n \"= False if self.channel: self.channel(\\\"Right\\\") elif c == \\\"T\\\": # Move to Left\",\n \"\\\"V\\\": self.raster_step = None if self.channel: self.channel(\\\"Velocity\\\") self.number_consumer = self.speedcode_b1_consumer elif c in\",\n \"def write_packet(self, packet): self.write(packet[1:31]) def write(self, data): for b in data: self.process(b, chr(b))\",\n \"self.header_skipped: self.write(data) else: data = LihuiyuParser.remove_header(data) self.write(data) def write_packet(self, packet): self.write(packet[1:31]) def write(self,\",\n \"self.parser.position = pos def __repr__(self): return \\\"LihuiyuEmulator(%s)\\\" % self.name def initialize(self, *args, **kwargs):\"\n]","isConversational":false}}},{"rowIdx":794,"cells":{"ngram":{"kind":"list like","value":[":type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type","def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type","fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param","self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total","None self.EventId = None self.Explanation = None self.Outline = None self.Problem = None","EndTime: str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:",":type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product","None self.Command = None self.Time = None self.Info = None def _deserialize(self, params):","list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。","self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion","str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def _deserialize(self,","params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\")","self.Offset = None self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId","set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set)","实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip =","__init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求","class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list","总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count =","= params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set =",":param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel):",":param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param","self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio","def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId:","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = [] for item","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\")","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = [] for item","= params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product =","self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys())","= None self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId =","ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list","are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self):","obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():","self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","% \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID","Vip: str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source:","float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float","self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId","Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info:",":type Count: int \"\"\" self.EventId = None self.DiagType = None self.StartTime = None","self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type",":param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param",":param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None","StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline:","云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime =",":param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param",":param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param",":param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","None self.Offset = None self.Limit = None self.ProfileName = None def _deserialize(self, params):","int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus:","int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int","Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。","of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType","in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体","of str \"\"\" self.IsSupported = None self.Product = None self.Offset = None self.Limit","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。","HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type","str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost:","None self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree = None","params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\")",":type User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type","self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for","SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库",":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema =","list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\"","Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name","TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type","params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries = None","\",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId:","useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。","= params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value",":param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount:","not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item)",":type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId:","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime","params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys())","= [] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\")","= None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is not None:","= None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax =","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set =","of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType:","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。","is not None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj = SchemaItem()","of int \"\"\" self.Series = None self.Timestamp = None def _deserialize(self, params): if",":type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups","Metric: str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType","ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`","= None self.SqlPlan = None self.Cost = None self.RequestId = None def _deserialize(self,","= None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\")","EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str",":type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None","params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\"","str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\")","= params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\"","MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None","利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for","self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset","-*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent","任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。","self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax","None self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion = None","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\"","MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative","= None def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList = []","= None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set =","SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。","[] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\")","self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set","= params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity =","MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\"","self.InstanceId = None self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId","= None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values =","诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。","self.InstanceId = None self.Limit = None self.SortBy = None self.Product = None def","str \"\"\" self.Id = None self.RequestId = None def _deserialize(self, params): self.Id =","= HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。","None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\"))",":param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId =","fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime =","__init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio:","self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","\"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def",":param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括：",":type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks","r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel):","_deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = []","\"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType","are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema:","None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\")","AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。","= params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus =",":param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel","self.Total = None self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth",":param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name = None","obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId =","= params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows:","Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\"","r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type","= None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product =","ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。","数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection",":type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type","int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回","TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg:","params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value","Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。","are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices:","\"\"\" self.Series = None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self):","\"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体",":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine = None",":type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress = None","= params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set =","self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items = None","ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" -","\"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy = None","Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\");",":type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type",":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。","\",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int","Info: str \"\"\" self.ID = None self.User = None self.Host = None self.DB","DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param","class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`","RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg:",":type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId:","self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName","TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param","\"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self):","ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl =","self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None",":param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId =","[] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\")",":param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\"","= None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime =","= None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine =","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport =","def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type",":param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param","self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax","in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\")","_deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item in",":type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product:","for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set","def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if","\"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param","self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State","DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime:","are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:","__init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。",":type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","list of float \"\"\" self.Metric = None self.Unit = None self.Values = None",":param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration`","= None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg =","= None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId =","\"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain:",":type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product =",":type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList","self.Product = None self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set","磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。","float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float",":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params):",":type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id",":type RequestId: str \"\"\" self.Advices = None self.Comments = None self.SqlText = None","params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\")",":type Id: int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type","ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel:","__init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" -","TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求","self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime",":type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type","None self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime = None","EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport","_deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def","ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items:",":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11","Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText = None self.Schema","TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength:",":param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\"","服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo = None self.Product =","采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type",":param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param",":type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product:","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product =","= params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio =","云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product","= params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name,","str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection =","self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if","self.Schema = None self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId","class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product:","用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。","Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def","params): if params.get(\"ProfileList\") is not None: self.ProfileList = [] for item in params.get(\"ProfileList\"):",":param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime:","HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress","RequestId: str \"\"\" self.Id = None self.RequestId = None def _deserialize(self, params): self.Id","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = []","of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =","self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId",":type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels:","are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection:","= None self.Remain = None self.Total = None self.AvailableDays = None self.RequestId =","self.Explanation = None self.Outline = None self.Problem = None self.Severity = None self.StartTime","self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\"","Count: 告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType = None self.StartTime","self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId","= None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = []","StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param",":type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type","list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries","% \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type","TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList =","memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class","r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type","返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds =","InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param","_deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item in","MemberCount: int \"\"\" self.Id = None self.Name = None self.MemberCount = None def","库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def","are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads:","class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int","ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel:","\"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime:","Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion:","of int \"\"\" self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson","Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus:","01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str","\"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def _deserialize(self, params):",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId","is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value","str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type","\"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit:","= None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId =","InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product =","PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree","self.State = None self.Command = None self.Time = None self.Info = None def","执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def","返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C","= None self.StartTime = None self.EventId = None self.Severity = None self.Outline =","str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self):","useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。","执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机）","= params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def","异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回","= None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is not None:","Names: list of str \"\"\" self.Product = None self.Names = None def _deserialize(self,","RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId = None def _deserialize(self,","params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value",":type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" -",":param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param","params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type","Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables =","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\")","None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\")","are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data:",":type Mail: str \"\"\" self.Id = None self.Name = None self.Mail = None","EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\"","\"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime = None","None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList","Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","None self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\")","None self.Info = None self.Limit = None self.Product = None def _deserialize(self, params):","THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under","\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None","None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\")","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId = None","None self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost = None",":param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel):",":type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type","params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf","是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param","= None self.SortBy = None self.StartDate = None self.EndDate = None self.Product =",":type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels =","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。","GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status:",":type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\"","= None self.TopSeverity = None self.Count = None self.ScoreLost = None def _deserialize(self,","self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if","- 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime:","\"\"\" self.InstanceId = None self.Limit = None self.SortBy = None self.Product = None","= params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion =","memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name)","def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo:","params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","\",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices:","def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp:","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\")","self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param","__init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。","self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not","Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel):","class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain =","MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","\"\"\" self.TableName = None self.TableSchema = None self.Engine = None self.DataLength = None","Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count","self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if",":param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param","r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type","self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin","\"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None","str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId = None def _deserialize(self,","None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params):","params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value","日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId =","RequestId: str \"\"\" self.Advices = None self.Comments = None self.SqlText = None self.Schema","self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize",":param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。","self.InstanceNames = None self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported","- 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:","= params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items():","class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" -","InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product:","self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","= None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is not None:","int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId:","self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:",":param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param","= None self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime =","高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime = None","None self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\")",":param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。","params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys())","self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\") if","= None self.Product = None self.EventCount = None self.InstanceType = None self.Cpu =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel):","UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime:","\"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus:","DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of","RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId =","class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int","KIND, either express or implied. # See the License for the specific language","useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求",":type Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type","SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\"",":param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param","params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\"",":type SqlText: str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type","= params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus =","if params.get(\"Events\") is not None: self.Events = [] for item in params.get(\"Events\"): obj","\"\"\" self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources = None","= None self.StartTime = None self.EndTime = None self.CreateTime = None self.Status =","DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of","None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None","- 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None","self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList =","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None","= params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin =","\"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema:","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel):","self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys())","Count: int \"\"\" self.UserHost = None self.Ratio = None self.Count = None def","None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj)",":type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product = None","实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type","\"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds:",":type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float","扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of",":type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type","\",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas:","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels","碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。","self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = [] for item","Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。","self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime = None self.Status",":type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\"","_deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set =","obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def","None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\")",":param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions:","self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\"","of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" -",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product:",":type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int","= params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg =","obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name,","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is","= params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg =","None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product = None","= params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","= None self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson =","str \"\"\" self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore =","MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId =","params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\")","self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId = None def","self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText",":param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param","obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","= params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name,","AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:","self.Unit = None self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit","params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\"","\"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None def _deserialize(self, params):","= None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax =","采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\")","self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit","库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema =","= None self.Time = None self.Info = None self.Limit = None self.Product =","MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if",":type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str","params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\")","class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str","self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param","None self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses = None","健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" -","TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type","= params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus =","def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId","[] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\")","DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity:","Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId","class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str","self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag","self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","\"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self):","str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type",":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str","ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count","SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\")","\"\"\" self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId = None",":type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type","MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate:","tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。","= params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem =","= None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self,","self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName","params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys())","= params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is",":type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of",":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None",":type CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type","= SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体","= params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None:",":type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type","\"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。","params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","\"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。",":type Host: str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type","useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。","\",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries:","SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema:",":type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None",":param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param","Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume:","- 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","None: self.Events = [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj)",":type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl","线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。","if params.get(\"Groups\") is not None: self.Groups = [] for item in params.get(\"Groups\"): obj",":type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type","params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\")","None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None","params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in","self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost","for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit:","AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset:",":param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None self.Names","None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\")","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\"","= None self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo =","item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel):","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set =","self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin","by applicable law or agreed to in writing, software # distributed under the","class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel):","- 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails:","平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒","int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail =","not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime:","of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =","RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId =","StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\"","is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus","Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\",","EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str","self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def _deserialize(self,","Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User = None self.Host","= InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self):","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def","- 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\"","= None self.Metric = None self.EndTime = None self.RequestId = None def _deserialize(self,","RequestId: str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId = None def","数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\"",":param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param","params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = [] for","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region =","- 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type","注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回","self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio","params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj =","self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds","useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore","TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema =","取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param","RequestId: str \"\"\" self.Growth = None self.Remain = None self.Total = None self.AvailableDays",":type Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type","服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product:","self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5","LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin:","分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。","任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime =","class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str","= None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId =",":type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem","单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData:","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list","params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\")",":param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount:","= params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None","for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class","DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree:","params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList","数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel):","item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel):","params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\")","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks =","is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value",":type RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId = None","def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList = [] for item","Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\"","事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param","配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None",":type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem","class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list","in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData","params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is","= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\")","self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class","None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\")","params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value","null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None","= None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime =","__init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength:","总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime =","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","\"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param Name:","self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline","def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。","[] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\")","params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\")","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\"","None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\")","\"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求","r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type","Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema",":type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type","SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema:","str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int","DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo","self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" -","= None self.Name = None self.Mail = None def _deserialize(self, params): self.Id =","Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name","None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None","= None self.Vport = None self.Source = None self.GroupId = None self.GroupName =","Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName:","params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","= None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes =","params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:",":type SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type","云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage =","self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def","str \"\"\" self.IsSupported = None self.Product = None self.Offset = None self.Limit =","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo =",":type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type","硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel):",":type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus:","str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str","str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。","None: self.Series = [] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj)","params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","= params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name,","def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\"","not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in","None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\")","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId =","def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData =","self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName","ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime:","str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","self.Regions = None self.Product = None self.InstanceIds = None def _deserialize(self, params): if","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def","def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if","params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id:","self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime","添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self):","MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param","= None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText =","params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items():","偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\"","the License for the specific language governing permissions and # limitations under the","def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item","self.EndTime = None self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId","联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId = None","- 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param","% \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type","\"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type","健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type","None: self.Groups = [] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj)","总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。","self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId","None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is","item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId =","null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。","str \"\"\" self.InstanceId = None self.SqlText = None self.Schema = None def _deserialize(self,",":type RequestId: str \"\"\" self.TotalCount = None self.Rows = None self.RequestId = None","None self.Command = None self.Time = None self.Info = None self.Limit = None","= None self.ID = None self.User = None self.Host = None self.DB =","Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\"","RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax:","params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\"))","慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None",":type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params):","params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj =","params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName =","self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin","None self.Region = None self.HealthScore = None self.Product = None self.EventCount = None","开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。","= [] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId =","self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel","params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel","TotalCount: int \"\"\" self.IssueType = None self.Events = None self.TotalCount = None def",":type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type","params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\")",":type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int","资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON：","None self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\")","注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength","class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int","。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param","线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。","self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","None self.SortBy = None self.StartDate = None self.EndDate = None self.Product = None","int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for","params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name,","- 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体","paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None self.Region","\"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product = None","= None self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth =","self.EventId = None self.Explanation = None self.Outline = None self.Problem = None self.Severity","params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\")","None self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode = None","= None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region =","self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None","组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str :param","实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\"","params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel):","= None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg =","State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time:","= None self.DbScanStatus = None self.Items = None self.RequestId = None def _deserialize(self,","None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj)","float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type","= params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name,",":param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\"","useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。","DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of","= [] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount =","如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。","r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int","for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体","r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo:","None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None","联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id =","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress =","None self.State = None self.Command = None self.Time = None self.Info = None","self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree","Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration","MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\"","RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime","self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList =","= params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = [] for item in","= None self.Limit = None self.SortBy = None self.StartDate = None self.EndDate =","None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None","None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\")","str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str","list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type","IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax:","任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。","self.Offset = None self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\"","if params.get(\"Series\") is not None: self.Series = [] for item in params.get(\"Series\"): obj",":param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。","实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str","str \"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId =","InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int","are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes:",":type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str","Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str",":param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param",":param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" -","self.Threads = None self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain = None self.Total","None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\"))",":param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param","Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan:","None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\")","\"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\")","bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for","self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set","StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric:",":type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param","r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type","= params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set =","= None self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def","None self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio = None","sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名","= params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items():","str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str","- 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。","OF ANY KIND, either express or implied. # See the License for the","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set =","self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit = None self.Product","None self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\")","= params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","RequestId: str \"\"\" self.Events = None self.RequestId = None def _deserialize(self, params): if",":param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp:","self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set","None self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy = None",":param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText = None","= None self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息","r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int","int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str","in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体","None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\")","= None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def _deserialize(self,",":type RequestId: str \"\"\" self.Events = None self.RequestId = None def _deserialize(self, params):","表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None self.Engine =","% \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type","Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion:","TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:","None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\")","def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for","self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\")","\"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param","are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem:",":type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","= params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = []","params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\")",":type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem","useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","__init__(self): r\"\"\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp:","params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value",":param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None self.Names",":type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None self.Region = None","int \"\"\" self.Series = None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\")","% \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。","params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\")","str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime:","None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId","IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。","= params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product =","DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param","Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product =","__init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId:","Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位%",":type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type","if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for","SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。","or agreed to in writing, software # distributed under the License is distributed","= None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax =","float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int","self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\"","= params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product =","任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。","。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime:","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\")","\"\"\" self.IsSupported = None self.Product = None self.Offset = None self.Limit = None","str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay =","= params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set =","None def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events = [] for","self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax","fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.StartTime = None self.EndTime = None self.Product = None self.Md5 = None def","\"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。","None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None","= params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list","__init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","= params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name,","self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength","LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined:","云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值","SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info:","r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type",":param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param","class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel:","= None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo()","r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str","行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName =","sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self):","def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" -","coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company.","class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\"","12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -",":param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\"","内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。",":type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type","用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName:","self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\"","None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体","= params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product","UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\"","list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount","self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not","int \"\"\" self.Id = None self.Name = None self.MemberCount = None def _deserialize(self,","params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"):","str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int","self.ID = None self.User = None self.Host = None self.DB = None self.State","params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\"","params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param","Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","self.Series = [] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp",":type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime:","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo()","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None","params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"):","RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg:","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID = None self.User","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\"","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\")","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel):","_deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks = [] for item in","r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。","平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\"","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\")","int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel):","params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\")","= params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0,","_deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo()","self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType","params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param","None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\")","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not",":type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID","self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus",":type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type","fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param","useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\"","RequestId: str \"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self, params): if","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self):","null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。","self.ProfileType = None self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if","params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is","self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param","安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str","fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self):","class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int","or implied. # See the License for the specific language governing permissions and","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel):","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if",":type RequestId: str \"\"\" self.Data = None self.RequestId = None def _deserialize(self, params):","Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product:","偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param","in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体","str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs = None","params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\")",":type Timestamp: list of int \"\"\" self.Series = None self.Timestamp = None def","= params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions =","None self.SortBy = None self.OrderBy = None self.Limit = None self.Offset = None","None self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\")","异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param","None self.Vport = None self.Source = None self.GroupId = None self.GroupName = None","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。","self.Metric = None self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem","= params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory =","self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items =","= None self.DiagType = None self.EventId = None self.Explanation = None self.Outline =","返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param","self.Product = None self.Offset = None self.Limit = None self.ProfileName = None def","InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param","\",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID","InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip:","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel):","r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\"","None self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime = None","\"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param Name:","params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","= None self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self):","are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:",":param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param","\"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param","the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def","\"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求","ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param","self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId","None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\")","LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5:","任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId =","预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","is not None: self.Series = [] for item in params.get(\"Series\"): obj = MonitorFloatMetric()","\"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime:",":param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param",":param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str :param","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time",":param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str","self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int","异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级,","for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str",":type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel):","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None","class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1,","not None: self.Items = [] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item)","= params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set =","Host: str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State:","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\")","self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType","= params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item in","StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine","云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list","Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime:",":type RequestId: str \"\"\" self.Id = None self.RequestId = None def _deserialize(self, params):",":type Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type","str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type","= None self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType =","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId","str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product =","None self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\")",":param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None","params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","__init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events:","\"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type","HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime","params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name,","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type","新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str","ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None","= None self.Limit = None self.SortBy = None self.Product = None def _deserialize(self,","\"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","% \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type","None self.Unit = None self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\")",":type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type","int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int","\"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel):","def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in","params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\")","Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C","self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain","扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity =","self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId","任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。","SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit:","分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。","are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId:","self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item)","str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str","。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param","最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数","int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param",":param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param","r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list","self.Growth = None self.Remain = None self.Total = None self.AvailableDays = None self.RequestId","Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product =","self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount","str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float","None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。","of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求","= params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables =","CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays = None","DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product","params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name,","class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","= None self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels =","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\"","= None self.EndTime = None self.StartTime = None self.EventId = None self.Severity =","None self.InstanceNames = None self.InstanceIds = None self.Regions = None def _deserialize(self, params):","params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\")","None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj)","params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType:","\",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables:","Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds","RequestId: str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId = None def","of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =","self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self):","r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type","float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int","str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int","HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type",":type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type","if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj","= None self.Volume = None self.EngineVersion = None self.Vip = None self.Vport =","float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int","self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg",":type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self, params):","params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括：",":param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param",":type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type","\"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param","SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads =","are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id:","Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str","of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId:","not None: self.Groups = [] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item)","LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type",":class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData =","in compliance with the License. # You may obtain a copy of the","= params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime =","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId","DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。","__init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType:","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel):","表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。","= None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus =",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId","str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal：","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set","__init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。","params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration:","GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\"","self.Severity = None self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime","None self.TopSeverity = None self.Count = None self.ScoreLost = None def _deserialize(self, params):","null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param","params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\"))","params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo","None self.Time = None self.Info = None self.Limit = None self.Product = None","params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","= params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str","指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric = None self.Unit","is not None: self.Series = [] for item in params.get(\"Series\"): obj = MonitorMetric()","\"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\")","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回","str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。","null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:",":type Product: str \"\"\" self.InstanceId = None self.Time = None self.Product = None","% \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds =","\",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost:","0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def","self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product = None def","\"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\")","r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str","Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType","self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel","self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self):","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self):","CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit = None","self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","= params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items():","Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C","= params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = [] for item in","EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline:","TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。",":param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int","= DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self):","params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\")",":param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","None self.EventId = None self.Severity = None self.Outline = None self.DiagItem = None","None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\")","= None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime =","None: self.Series = [] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj)","in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体","\"\"\" self.ProfileType = None self.Product = None self.Offset = None self.Limit = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\"","诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例","def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据","self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset","str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int","数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位%","self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays","class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int","self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in","DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。",":param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\"",":type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type","are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts = None","\"\"\" self.Id = None self.Name = None self.Mail = None def _deserialize(self, params):","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体",":type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list","= None self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan =","self.DiagType = None self.EventId = None self.Explanation = None self.Outline = None self.Problem","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId = None def","list of str \"\"\" self.IsSupported = None self.Product = None self.Offset = None","= None self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name =","self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self):","self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","\"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None","str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product:","= None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime =","None self.ProfileName = None self.BindInstanceId = None self.Product = None def _deserialize(self, params):","str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId = None def _deserialize(self,","RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None def","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy =",":param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime:","= params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId =","str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self):","库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。",":type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回","self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","= None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None:","DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param","= InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus","None self.Metric = None self.EndTime = None self.RequestId = None def _deserialize(self, params):","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int :param","self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount =","def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type",":type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params):","_deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in","params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\")",":type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type","= None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs()",":type Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None","params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value","Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。","None self.TimeSeries = None self.SeriesData = None self.RequestId = None def _deserialize(self, params):",":type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs","SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData","self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str","= params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set =","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def","params.get(\"Events\") is not None: self.Events = [] for item in params.get(\"Events\"): obj =","not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\"","= params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name,","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel):","TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self):","of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求","self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric","= params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays:","params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\")","self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\"","item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None:","None def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series = [] for","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays = None self.Product =","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays =","self.Source = None self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime",":param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param","= params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items():","None self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost = None","int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","= None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost =","self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if","MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param","None self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\")","User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB:","str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str","params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"):","= params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set =",":param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param","\",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count:","CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId = None","obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name,","is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\")","class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int","TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\"",":param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo = None","= params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param","str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType =","None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params):",":param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson:",":param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value in","params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"):","self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class","None self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is","AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param","self.User = None self.Host = None self.DB = None self.State = None self.Command","Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int :param Source:",":param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit:","of str \"\"\" self.Product = None self.Names = None def _deserialize(self, params): self.Product","库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。",":type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type","= params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate =","str \"\"\" self.Events = None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\")","ID: str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host:",":type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type","TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData:","r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list","self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events =","r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay:","params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj =","\"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None","= params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset =","= params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self):","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\"","OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求","class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str",":param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit =",":param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param","TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId","not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in","int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str",":param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime:","params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","\"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is","未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str","self.Volume = None self.EngineVersion = None self.Vip = None self.Vport = None self.Source","params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\")","LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\"","self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo","if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\"","StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline:","params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","\",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志","Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\"","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\"","params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set =","GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId:","DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime:","def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of","Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str","= None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId =","\"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time:","= None self.Info = None self.Limit = None self.Product = None def _deserialize(self,","params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = [] for item in params.get(\"Tasks\"):","None self.Severity = None self.StartTime = None self.Suggestions = None self.Metric = None","def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type","= None self.InstanceId = None self.Metric = None self.Region = None def _deserialize(self,","def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId:","int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str","sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位%","\"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product:","= ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product","= None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId =","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None:","self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText","self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。",":param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。","EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in","params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo = None self.Product","\"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型）","language governing permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model","= params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem =","= params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set =","import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\"","分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None def","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel):","self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId","self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set","= params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys())","of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =","= SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体","params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups =","str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str",":type Metric: str :param Region: 地域。 :type Region: str \"\"\" self.DiagType = None","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def","IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength:","- 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param HealthLevels:","监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of","self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","self.Events = [] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount",":type InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions = None self.Product","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def","params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\")","self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema","params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\")","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID =","= ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self):","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time = None self.Product =","useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。","\"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param",":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId:","Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\"","= None self.Stage = None self.Threads = None self.SqlExecId = None self.Product =","= params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime = None","self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp","limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def","None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\")","Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\"","params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"):","HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param","安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative",":type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime","= params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = [] for item in","DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio:","RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self,","str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str","class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str","self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source","params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\"",":type Region: str \"\"\" self.DiagType = None self.EndTime = None self.StartTime = None","list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type","\"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str","params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\")","12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId =","None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\")","self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\"","= params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName =","= params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item in","= [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp =","日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str","def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type","def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type","= None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime =","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in",":type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId:",":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = [] for","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\"","InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported:","self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value in","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product","# # Unless required by applicable law or agreed to in writing, software","None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj)",":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param","Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None self.Names =","= params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\")","_deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set =","HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel","int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes","either express or implied. # See the License for the specific language governing","TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","% \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。","[] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\")","params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:",":type Info: str \"\"\" self.ID = None self.User = None self.Host = None","self.EndTime = None self.StartTime = None self.EventId = None self.Severity = None self.Outline","= None self.Severity = None self.ScoreLost = None self.Metric = None self.Count =","None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj)","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def","str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int","r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity =","Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self):","the License. # You may obtain a copy of the License at #",":param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:",":type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables","str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" -",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount","Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param","if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\")","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self):","全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param",":param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param","params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\")","self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in","self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set",":param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。","= None self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio =","[] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys())","\"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime","不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name =","def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus",":type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type","params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str","None self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId = None","实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。","= params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type","\"\"\" self.InstanceId = None self.EventId = None self.Product = None def _deserialize(self, params):","self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not","\"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。","RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def","self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost","= None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product =","params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self):","for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class","Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText:","InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId:","params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())",":type DB: str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type","= params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name,","of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str","_deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions =","self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set","int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp =","if params.get(\"ProfileList\") is not None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj","int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int","str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan = None self.Cost","self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData = None def","= params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。","None self.Offset = None self.SchemaList = None self.Product = None def _deserialize(self, params):","注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str \"\"\" self.DiagType","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None",":type Product: str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds = None","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def","= params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name,","self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime","None self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")",":type MemberCount: int \"\"\" self.Id = None self.Name = None self.MemberCount = None","= params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\")","def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp:","not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item)","= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\")",":param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param","% \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type","= None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail =","of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series =","params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type","self.Outline = None self.Problem = None self.Severity = None self.StartTime = None self.Suggestions","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2","def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId","self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\"","str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name =","self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData =","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for",":param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str :param","params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is","is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries()",":type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\"","= params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","may not use this file except in compliance with the License. # You","= None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset =",":param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId:","str \"\"\" self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation =","params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys())","self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product","params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\")","是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。","int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime","= None self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem =",":type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type","None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\")","self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。","params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:","null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。","self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","\",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。","SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param","self.Vport = None self.Source = None self.GroupId = None self.GroupName = None self.Status","if params.get(\"Rows\") is not None: self.Rows = [] for item in params.get(\"Rows\"): obj","\"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId:","= params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" %","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None","None self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema:","self.DiagType = None self.EndTime = None self.StartTime = None self.EventId = None self.Severity","params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\")",":param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items","None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None","线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。","r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件 ID","= params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId = None","开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param","str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId = None def _deserialize(self,","健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel:","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId =","self.InstanceId = None self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId",":param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param","obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel):",":param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param","params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\")","self.Rows = [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items =","params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\"","params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount","= params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体","params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\"","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","None self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\")","\"\"\" self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds = None","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\"","params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\")","_deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined =","ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","= params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items():","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product","__init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。","MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","\"\"\" self.DiagType = None self.EndTime = None self.StartTime = None self.EventId = None","= params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel):","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None","None self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime = None","self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for","int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str","def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId:","Region: str \"\"\" self.DiagType = None self.EndTime = None self.StartTime = None self.EventId","params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product:","params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\")","_deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel =","self.IssueType = None self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\"","最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str","self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost","params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\"","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\"","PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。","% \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此","None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\")","= None self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId =","InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list","self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio","params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\")","UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag:","\"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。","useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。","= params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit =","\"\"\" self.Data = None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is","str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User =","list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type","TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\"","Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag","注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param","= params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param","self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime","str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData`","% \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type","None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys())","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries:","fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param","class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str","= None self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId =","Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括：","self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for","诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。","int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int","% \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type","class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str","params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is","SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。","class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str",":param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"-","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\"","class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str",":type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId:","r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = [] for",":param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -","params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = []","self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost = None def","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","not None: self.Events = [] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item)","- 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None",":type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" -","int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType =",":type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type","None self.DiagType = None self.StartTime = None self.EndTime = None self.Outline = None","- 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int","TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求",":type HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type",":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11","None self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")","= None self.ContactPerson = None self.ContactGroup = None self.Product = None def _deserialize(self,","self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds = None def","% \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type",":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel):","None self.EndTime = None self.Product = None self.Md5 = None def _deserialize(self, params):","最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒","and # limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class","SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def","not use this file except in compliance with the License. # You may","self.IsSupported = None self.Product = None self.Offset = None self.Limit = None self.InstanceNames","\"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType:",":type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type","params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys())",":param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup:","str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str","\",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","= params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product =","None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\")","= None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None:","- 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def","= None self.User = None self.Host = None self.DB = None self.State =","AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source:",":type TotalCount: int \"\"\" self.IssueType = None self.Events = None self.TotalCount = None","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset:","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int","agreed to in writing, software # distributed under the License is distributed on",":param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param","RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId = None def _deserialize(self,","None self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric = None","安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","self.Region = None self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType","Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User","params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in","= params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = [] for item in",":type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type","\"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items = None","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows =","params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","list of str \"\"\" self.Product = None self.Names = None def _deserialize(self, params):","obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def","is not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData()",":type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema","obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel =","None self.DiagType = None self.EventId = None self.Explanation = None self.Outline = None","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId = None",":param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\"","= None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product =",":param Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId:","not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus =","低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime","1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list","__init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit:","are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:","self.TopSeverity = None self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem",":param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None:","QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin:","线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。","str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str","params.get(\"Series\") is not None: self.Series = [] for item in params.get(\"Series\"): obj =","任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。","class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime:","InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\")","self.Info = None self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId","params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\")","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def","def __init__(self): r\"\"\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type",":type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params):",":param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str :param","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。","self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None","= params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs()","self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒","SqlText: str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText","RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin:","params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\")","r\"\"\" :param Id: 组id。 :type Id: int :param Name: 组名称。 :type Name: str","params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\"","- 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" -","are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema:","self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize","RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId =","params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel):",":param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\"","are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore:","异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。","是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of","list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount",":param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str","DB: str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command:","str \"\"\" self.TotalCount = None self.Items = None self.RequestId = None def _deserialize(self,","联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None self.Names = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\"","params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\")","RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if","class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int","params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric:","self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def","Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId","the Apache License, Version 2.0 (the \"License\"); # you may not use this","= params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin =","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays =","\"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product:","实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。","params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = [] for item in params.get(\"SchemaList\"):","self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree",":type Count: int \"\"\" self.UserHost = None self.Ratio = None self.Count = None","EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId:","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts =","if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class","value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s","params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。","in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体","are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count:","def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions","None self.Time = None self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\")","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def",":type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows","- 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int","ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product:","\"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param","= None self.Comments = None self.SqlText = None self.Schema = None self.Tables =","Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType:","TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows:","float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float","InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId","are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language:","= params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime = None self.StartTime =","- 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays","item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set =",":type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\"","int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str","self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan",":param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param","TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost:",":param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes =","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体","if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self):","not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item)","self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product","None self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset = None",":type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric:","str \"\"\" self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds =","\",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events:","\"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost:","class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str","self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions = None","None self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","= params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName =","= params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self):","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel):","for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程","= params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel):",":param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values:","r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str","list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions:","float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float","str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str",":type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId =","list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。",":param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param",":param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param","Id: 组id。 :type Id: int :param Name: 组名称。 :type Name: str :param MemberCount:","self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。","导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def","params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is","self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList =","= params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param","EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","None self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds = None","params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","= ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","- 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type","r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str","str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId =","params.get(\"Groups\") is not None: self.Groups = [] for item in params.get(\"Groups\"): obj =","def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\"",":type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type","self.Comments = None self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan","obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name,","% \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\"","Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name = None self.Mail","useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。","= params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name,","\"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符，","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","- 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list","Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText:","str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy =","useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数","最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数",":type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp =","str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" -","str :param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported = None",":param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions","params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = [] for item in params.get(\"Items\"):","self.Contacts = [] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId","= None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName =","None self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")",":type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type","self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric","self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set","self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId","\"\"\" self.Id = None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\")","配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel =","params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value","\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","None: self.Items = [] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj)","self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax:","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回","MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of",":param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param","def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength","\"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId:","def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId:","self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength","self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj =",":type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","= params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set =",":type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag:",":type ContactGroup: list of int \"\"\" self.SendMail = None self.Region = None self.HealthStatus","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str","\"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count = None","\"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime:","self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds","def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\"","self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product",":type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType = None","= params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = []","list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None","安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus:","- 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param",":param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item","Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions:","self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus","= params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\")",":param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2",":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str","= params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items():","- 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" -",":param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\"",":type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize:","\",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth:","str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id,","self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\"))","self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for","params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\")","Mail: str \"\"\" self.Id = None self.Name = None self.Mail = None def",":type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId:","None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")","params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if",":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime:","self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit","= params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames =","= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus =","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set =",":param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param","符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows: list","if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj","= None self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion =","EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport:","params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\"))","= None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId =","self.Severity = None self.ScoreLost = None self.Metric = None self.Count = None def","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit = None self.SortBy =","RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain = None self.Total =","int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is","None self.StartTime = None self.EventId = None self.Severity = None self.Outline = None","params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","= params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self,","None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def","of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param","\",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type","ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity","params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\")","= None self.InstanceName = None self.Vip = None self.Vport = None self.Product =","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str","Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。","_deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays =","DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","= None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema =","Product: str \"\"\" self.InstanceId = None self.Time = None self.Product = None def","\"\"\" self.InstanceId = None self.SqlText = None self.Schema = None def _deserialize(self, params):","self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax",":param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int :param","= params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin =","list of str \"\"\" self.InstanceConfs = None self.Regions = None self.Product = None","params): if params.get(\"Series\") is not None: self.Series = [] for item in params.get(\"Series\"):","int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int","DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","= None self.DiagType = None self.StartTime = None self.EndTime = None self.Outline =","__init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。",":type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds:","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = [] for","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\"","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def","str \"\"\" self.InstanceId = None self.EventId = None self.Product = None def _deserialize(self,","Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo","obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def",":type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type","待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset:","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId = None def","ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host:","self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体","= params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName =","= params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件","实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName =",":type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup:","\"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。","useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。",":param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。",":param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus:","def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson","self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self):","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。","All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the","= params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\"","EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a","= params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime =","params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId = None self.Product","useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\"",":class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None","HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None","useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。","EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -","None self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo = None","self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not","= None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus =","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","= None self.InstanceType = None self.Cpu = None self.Memory = None self.Volume =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def",":type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\"","None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\")","TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str","params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\")","SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio:",":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of","str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for","str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name = None self.MemberCount","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None:","= None self.ProfileName = None self.BindInstanceId = None self.Product = None def _deserialize(self,","self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime","list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product:","TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName","InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。","CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime = None",":type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of","CONDITIONS OF ANY KIND, either express or implied. # See the License for","= None self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize =","Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list","= None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is not None:","class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int","= params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set =","self.InstanceId = None self.ID = None self.User = None self.Host = None self.DB","str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","% \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type","for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class","params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\"","= None self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions =","if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class","\",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID:","class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu:","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。","TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param","= params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region =","DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","compliance with the License. # You may obtain a copy of the License","ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText:","obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId:","\"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count: int :param Timestamp:","\"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。","in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\")","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def","\"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None","\",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList:","list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount","= None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None:","= None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo =",":param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置,","\",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName:","\"\"\" self.Threads = None self.SqlExecId = None self.RequestId = None def _deserialize(self, params):","\"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param Name: 组名称。","self.Id = None self.Name = None self.Mail = None def _deserialize(self, params): self.Id","\"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str",":param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。","是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId =","class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\")","self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory","= params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items():","EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def","DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","_deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength =","获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。",":type Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type","\"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param","= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\")","= None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set =","self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit","None self.Limit = None self.Offset = None self.SchemaList = None self.Product = None","DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str","list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" +","# Unless required by applicable law or agreed to in writing, software #","= None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name,","扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。","self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId","RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","_deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree =","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\")","None self.Outline = None self.Problem = None self.Severity = None self.StartTime = None","self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product","self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups",":param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime:","OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None def","self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio","TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体","EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip","self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set =",":class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language =","等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。","Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str :param State:","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit = None self.SortBy","class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","\"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。","self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs =","useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。","are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema:","str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int","= None self.Explanation = None self.Outline = None self.Problem = None self.Severity =","SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","% \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product =","self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in","is not None: self.Rows = [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem()","def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class","= None self.StartTime = None self.EndTime = None self.Product = None self.Md5 =","params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId =","self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo =","self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\"","__init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type","= params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\")","\",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem:",":type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None","None self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\")","EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of","self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","= params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" -","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage = None self.Threads =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId","_deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name,","str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float","def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for item","= None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore =","int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","str \"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\")","= None self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User =","ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param","= None self.Host = None self.DB = None self.State = None self.Command =","params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\")","params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name,","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel):","云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit =","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self):","。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",":type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore:","is not None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj = UserProfile()","self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region",":type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product:","self.Items = [] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set",":type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type","= None self.Outline = None self.Severity = None self.ScoreLost = None self.Metric =","is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\")","params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。","= params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,",":param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str :param","self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if","InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore:","DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay","int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product =","TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData","params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime:","class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp =","= params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels =","None self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId = None","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5:","诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param","Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id","= TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self):","self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks =","MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of","= None self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup =","None self.InstanceName = None self.Region = None self.HealthScore = None self.Product = None","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set","list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product:","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status","DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command:","DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity:",":type State: str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type","params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\")","class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax:","None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys())","item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel):","params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id:",":type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type","specific language governing permissions and # limitations under the License. import warnings from",":param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId =","params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","self.ProfileName = None self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration","None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\")",":param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param","is not None: self.Items = [] for item in params.get(\"Items\"): obj = InstanceInfo()","self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset","统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp = None def _deserialize(self,","Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State:",":type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type","top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","company. All Rights Reserved. # # Licensed under the Apache License, Version 2.0","useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","self.ProfileList = [] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount","self.TotalCount = None self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount","线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。",":type RequestId: str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId = None","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts =","params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for","Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\"","str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product:","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\")","self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","self.TableSchema = None self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName",":param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库",":param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items","平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime =","= params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not","% \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type","useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。",":param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:","str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str","params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","= params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items():","None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None","params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"):","= None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self,","self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus","self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId","邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel:","r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount:","r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration:","self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not","if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName","permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel","实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库","= None self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode =","__init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime:","= params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command =",":type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices","self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId","str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str","params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.DB = None self.State = None self.Command = None self.Time = None self.Info","str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int","\"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\"","params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\")","DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool","None self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize:","if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj","self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize",":param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of",":type Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax","健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type","self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self):","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds:",":type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" -","are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events:","are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id:","self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for item",":param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","= [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId =","[] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\")","not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType","if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not",":type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type","State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time:","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime =","= params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = []","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries =","DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例","params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys())","\"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。","列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\")","SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:","来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param","str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel):","Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost:","class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg:","self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus",":param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param","\"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax:","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage:","self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\"","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel):","int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\"","self.Advices = None self.Comments = None self.SqlText = None self.Schema = None self.Tables","= None def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events = []","params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self):","self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\"","RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax","= params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost =","params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\")","self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if","params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","= None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self,","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体",":type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type","int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\"","\"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType:","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime","MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。","class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int","params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\")","= params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio =","class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str",":param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in",":param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param","utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All","str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel):","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas =","None self.ScoreLost = None self.Metric = None self.Count = None def _deserialize(self, params):","Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume:","self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime","self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def","str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str","fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param",":type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type","数据库名称 :type Schema: str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema =","= [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId =","self.Time = None self.Info = None self.Limit = None self.Product = None def","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。","Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays:","CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime:","异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。","self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set","Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp = None def","配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。","= params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio =","__init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel):",":type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type","self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for","\"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param","IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，",":type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo:","= GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self):","def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks","str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema =","= None self.Outline = None self.Problem = None self.Severity = None self.StartTime =",":type RequestId: str \"\"\" self.Urls = None self.RequestId = None def _deserialize(self, params):","= [] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId =","class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int","a Tencent company. All Rights Reserved. # # Licensed under the Apache License,","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName","TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows:","self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport = None self.Product","UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag:","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId =","params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\")","ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param","self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for","= params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name,","AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId","= params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。",":type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type","% \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type","SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds:","params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\")","self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param Name: 组名称。 :type","联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of","self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in","None self.InstanceId = None self.Metric = None self.Region = None def _deserialize(self, params):","is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries()","None self.DB = None self.State = None self.Command = None self.Time = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\"","RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime:","None self.StartDate = None self.EndDate = None self.Product = None def _deserialize(self, params):","ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" -",":type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type","params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\"","__init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param","None self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None","are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem:","int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int","联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list","StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" -","= None self.Vip = None self.Vport = None self.Product = None self.EngineVersion =","sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒","params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\")","Regions: list of str \"\"\" self.IsSupported = None self.Product = None self.Offset =","诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。","云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId =","EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","\"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\")","DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type EventId: int","总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒","fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param","def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type","class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","__init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\"","\"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId:","params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys())","str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None","\"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str","are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric:","返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C","params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\")",":param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel):","None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is","str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\"","obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel):","InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source","\"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。","None self.Regions = None self.Product = None self.InstanceIds = None def _deserialize(self, params):","def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB","InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self):","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def","None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\")","返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","self.InstanceId = None self.StartTime = None self.EndTime = None self.Product = None self.Md5","= None self.ProfileType = None self.Product = None self.BindInstanceIds = None def _deserialize(self,","self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set","Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj =","params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self):",":param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays:",":type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type","\"\"\" self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\")","- 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of","TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\"",":type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type","None self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\")","in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体","def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set","TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。","self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param","实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\"","EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。",":param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param","Product: str \"\"\" self.InstanceId = None self.Limit = None self.SortBy = None self.Product","柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param","def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item","RequestId: str \"\"\" self.Data = None self.RequestId = None def _deserialize(self, params): if","EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int","params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\"",":param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type","% \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy =","最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数","= None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = []","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None",":param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str :param","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime =","obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime = None","Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate:","Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin","TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求","数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None","\"\"\" self.Product = None self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\")","ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\"","= None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel =","Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio:","self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\"","def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount:","str \"\"\" self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def","_deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set =",":param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:","self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set","InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。","Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity:","AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName","None self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\")","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。","useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言,","None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product = None","告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType = None self.StartTime =","\"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions:","__init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items:","= None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId =","% \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。","def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName","12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product:","self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product","= params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。","r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" -",":param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson =","Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库","\",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type",":param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param","self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\"","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel):","def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration =","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads =","self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for","云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime =",":type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int","of ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items","params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\")","str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。","useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","\",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric:","r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type","Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total:","int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float","are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:",":type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime:","def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime:","self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set","params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments = None","生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -",":type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem","None self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength =",":param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None","class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。","None self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product =","DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def","SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。","None self.Threads = None self.SqlExecId = None self.Product = None def _deserialize(self, params):","params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","= params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:","\"\"\" self.Advices = None self.Comments = None self.SqlText = None self.Schema = None","ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo =","组id。 :type Id: int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。","self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in","def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","% \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type","class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId:","HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount:","str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值：","根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list of","Product: str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources","self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","__init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。","__init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。",":param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param","= None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime =","obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId =","IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax:","None def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\"))",":param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param","params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\")","\"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo","params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\")","= None self.Total = None self.AvailableDays = None self.RequestId = None def _deserialize(self,","useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None","= None self.StartTime = None self.EndTime = None self.Outline = None self.Severity =","params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is",":param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param","fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus:",":type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel):",":param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail = None","self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime","self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\"","HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\"","\"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。","实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。","self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime","\",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series:","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel):","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\"","\"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType:","self.Data = None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is not","= None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 =","params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\")","params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\")","= None self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag =","None self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\")","str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str","params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel):","ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count:",":type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回",":type RequestId: str \"\"\" self.DiagItem = None self.DiagType = None self.EventId = None","= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name",":type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport",":param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None","int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：","float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float","InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int","\"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str",":param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of","= None self.TimeSeries = None self.SeriesData = None self.RequestId = None def _deserialize(self,","InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User:","params.get(\"Items\") is not None: self.Items = [] for item in params.get(\"Items\"): obj =","None self.Limit = None self.SortBy = None self.Product = None def _deserialize(self, params):","= params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None:","params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\")","item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name,","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self):","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def","= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\"","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel):","CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime = None",":param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of","self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","\"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel:","= params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio =","self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in","TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine:","None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\")","Metric: str :param Region: 地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime","null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None","self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送:","ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType:",":param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","\"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params):","# limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel):","params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self):","None self.StartTime = None self.EndTime = None self.Product = None self.Md5 = None","ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName:","str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type",":param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:","DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command:","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel):",":type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None","self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self):","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments = None self.SqlText",":type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\",","EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。","class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str",":type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list","self.Name = None self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name","\"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items:","params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\")","OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset:","= params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText =","params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\")","= None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\"","% \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回","int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list","obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds =","= params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId:","\"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None","str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type","__init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus:","int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str",":param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str","= params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关,","self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline","not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item)","TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param",":param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events = None","RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None","DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree:","self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","_deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set =","self.Events = None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is not","RequestId。 :type RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId =","params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData =","str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type","self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is not","= None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount =","self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not","str :param EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type",":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type","\",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:","None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is","TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list","self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent","Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType =","None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\")","ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","\"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体","联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail = None self.Region =","self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus","DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime:",":type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName","params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName =","are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId:","self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","None self.DiagItem = None self.InstanceId = None self.Metric = None self.Region = None","of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events =","self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for","EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu:","= params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId =","\",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName:","self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost","self.ContactPerson = None self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId","None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is","\"\"\" self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson = None","class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type","int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求","params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported:","r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int","self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId = None def","= params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline =","params.get(\"Contacts\") is not None: self.Contacts = [] for item in params.get(\"Contacts\"): obj =","Schema: str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set",":type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param","= None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\")","InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params):","% \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type","None self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\")","self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline","None self.Remain = None self.Total = None self.AvailableDays = None self.RequestId = None",":param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param","如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language =",":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self):","12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain = None","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels","定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param","self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema","ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" -","\"\"\" self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation = None","\"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list","Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit:","params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value","__init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10","self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host","DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None","None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\")","self.StartTime = None self.EndTime = None self.CreateTime = None self.Status = None self.Progress","self.DbScanStatus = None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount",":type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int","not None: self.Items = [] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item)","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId","Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product = None def","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId","= InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set","联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None self.Names = None","self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId =","。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName","私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。","数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。","r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。","fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。","_deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\")","结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def","is not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo()","params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\")","\"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param","= params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set =","self.Product = None self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product =","Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema:","ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments =",":type Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None",":type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params):","None self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求","= params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength =","self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","None self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None","self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine","InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。","\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds =","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset","= [] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId =","fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param","self.Limit = None self.SortBy = None self.StartDate = None self.EndDate = None self.Product","is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体","是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param","params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported =","= params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId =","is not None: self.Events = [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem()","def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays","Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName",":param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\"",":type EndTime: str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type",":param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。","None self.Product = None self.Offset = None self.Limit = None self.InstanceNames = None","日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int",":param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list of","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self):","= params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name,","- 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" -",":param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" -","self.Items = [] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup =","useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime =",":param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param","风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative","MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series = None",":type Metric: str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回","RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments = None self.SqlText =",":type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount","params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys())","\"\"\" self.Growth = None self.Remain = None self.Total = None self.AvailableDays = None","self.SqlPlan = None self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices","None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is","SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period =","相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product =","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time =",":type Product: str \"\"\" self.InstanceId = None self.RangeDays = None self.Product = None","self.Vip = None self.Vport = None self.Product = None self.EngineVersion = None def","params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId:",":type RequestId: str \"\"\" self.Growth = None self.Remain = None self.Total = None","Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime","- 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime","= None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None:","[] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\")","self.Time = None self.Info = None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User","params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration:","self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set","= None self.EndTime = None self.CreateTime = None self.Status = None self.Progress =","= params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = [] for item in","AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId","ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\")","are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost:","= None self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree =","BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C","self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime","self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime","None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\")","BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel =",":type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。","str \"\"\" self.InstanceId = None self.RangeDays = None self.Product = None def _deserialize(self,","self.Limit = None self.Offset = None self.SchemaList = None self.Product = None def","params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体","SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param","def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if","云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset:","= params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set =","params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value","\",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls",":type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type","self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric","InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set =","AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product:","params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys())","_deserialize(self, params): if params.get(\"Series\") is not None: self.Series = [] for item in","筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\"","CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage = None",":param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType =","str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo`","= params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def","\"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names:","\"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param","Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID = None self.User =","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups = None self.RequestId =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\"",":type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None","HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" -","SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine","分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel):","截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str","开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type","ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param","ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy:",":param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。","obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def","self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\"","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product:","null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount:","= None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime =","_deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB =","Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime:",":type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type","params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","{instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括：","注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric = None self.Unit =",":type ID: str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type","self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。","str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product = None def _deserialize(self,","self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set","str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str","0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson:","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is","Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product:","None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\")","fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param","self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。","r\"\"\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId = None self.Product =","= None self.SortBy = None self.OrderBy = None self.Limit = None self.Offset =","\"\"\" self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId = None","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql","= None self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self):","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel):","int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int","FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize:",":type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param","params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","= None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels =","\"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail:","= [] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId =","fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param","def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type","None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events","\"License\"); # you may not use this file except in compliance with the","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress","list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self):","LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type","params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\")","2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed","= ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= None self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId =","\"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。","\"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。",":type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads","None self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\")","_deserialize(self, params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId =","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type","结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type",":type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type","定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\"","(c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # #","__init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:","self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema","r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int","self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command","self.Metric = None self.Unit = None self.Values = None def _deserialize(self, params): self.Metric","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\"","str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str","fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self):","\"\"\" self.ID = None self.User = None self.Host = None self.DB = None",":type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type","of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup:","params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value","is not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail()","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self):","\",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema:","保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId =","TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count: int :param","ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\"","useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。","class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库","Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem",":type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\")","str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type","= params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent =","Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product:","self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class","useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 诊断项。","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set","params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\"","obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def","\"\"\" self.InstanceId = None self.Time = None self.Product = None def _deserialize(self, params):","None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength = None","not None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item)","str \"\"\" self.InstanceId = None self.ID = None self.User = None self.Host =","fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param","配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\"","int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType","SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param","str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type","需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product:","% \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type","str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type","true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =","r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`","MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series = None","= None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\")","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel):","= None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None:","self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail","任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str :param","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the",":param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param","\"\"\" self.Tasks = None self.TotalCount = None self.RequestId = None def _deserialize(self, params):","ContactGroup: list of int \"\"\" self.SendMail = None self.Region = None self.HealthStatus =","params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\")","is not None: self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj = TimeSlice()","__init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。","_deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList = [] for item in","% \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回","self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses","= None self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId =","WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\"","IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int","r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float","self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows","__init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks:","Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport:","筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str","def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId","= None self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount =",":param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of","库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName =","SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\"","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID","None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\")","\"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param","class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list","来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。","云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =","\",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount:","int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int","self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def","= None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType =","None self.Explanation = None self.Outline = None self.Problem = None self.Severity = None","self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in","self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set","self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds","AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。","class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int","= MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\"","事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str","EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline:","= params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set =","ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product =","= params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name,","params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys())","params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\"","kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type","useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。","开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件:","注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId:","截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","Count: int \"\"\" self.EventId = None self.DiagType = None self.StartTime = None self.EndTime","Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode:","InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。","\"\"\" self.TotalCount = None self.Rows = None self.RequestId = None def _deserialize(self, params):","ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\"","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","\"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。","None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value","params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for","self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int","useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。","None self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio = None","= None self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo =","= None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None:","self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\")",":param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param","ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int",":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type","返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self):","云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def","self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def","StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag:","None self.Problem = None self.Severity = None self.StartTime = None self.Suggestions = None","User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB:","params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None","- 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type TaskStatuses:",":param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param","= params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId","Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion:","__init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param Name: 组名称。 :type Name:","params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\")","= None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\")","self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels","self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus","item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel):","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self):","组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id =","% \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type","self.Source = None self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId","= params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set =","\",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs:","Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int",":type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None","LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。","params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads:","self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in","服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product:","self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self):","params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.Product = None self.EventCount = None self.InstanceType = None self.Cpu = None","self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\")","None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\")","obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo =","__init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax","self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。","self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。","def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series = [] for item","self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg","保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param","= params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime =","params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\")","obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():","= SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self):","= [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set =","\"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries","self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels","obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def","扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。","MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param","\",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not","def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回","= [] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount =","not None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item)","str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str","% \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type",":param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param",":param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int","实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。","self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.SqlPlan = None self.Cost = None self.RequestId = None def _deserialize(self, params):","= None self.EventId = None self.Severity = None self.Outline = None self.DiagItem =","cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。","for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class","params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value","float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int","self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine:","ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count:","self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self):","Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId","Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio","_deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName =","Unless required by applicable law or agreed to in writing, software # distributed","危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行；","class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list",":param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp:","= None self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id =",":param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series = None self.Timestamp","str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus`",":type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param","返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","[] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\")","params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\")","None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\")","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def","self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list","CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","\"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson:","= None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType =",":param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param","Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime:","fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param","TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask",":param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param","= None self.InstanceName = None self.Region = None self.HealthScore = None self.Product =","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None","InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport:",":param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels:",":type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF：","= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema =","Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product:","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId = None","\"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list",":param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。","Values: list of float \"\"\" self.Metric = None self.Unit = None self.Values =","= params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds =","\"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is",":type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type","None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\")","params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\"","TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy =","EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type","InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\"","RequestId: str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId = None def",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId","ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","= None self.EndTime = None self.Product = None self.DangerLevels = None def _deserialize(self,","self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in","ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str","params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class","str \"\"\" self.InstanceId = None self.Limit = None self.SortBy = None self.Product =","ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param","= params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID",":param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId:","= None self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId =",":param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","\",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem:","int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type","str \"\"\" self.InstanceId = None self.Time = None self.Product = None def _deserialize(self,",":type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength = None","Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str","None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params):","= params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:",":param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\"","is not None: self.Items = [] for item in params.get(\"Items\"): obj = ScoreItem()","StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\"","= None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId =","= None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg =","= params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type",":param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param","= params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","= None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel):","返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self):","are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:","str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None",":param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type","PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set","单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None self.Engine =","obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData()","None self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None","SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId =","Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions:","int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str","useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。","线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。","= params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type","\"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None","= params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate =","are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList:","class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。","list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","\"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params):","self.InstanceId = None self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType","线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。","= params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric =","\"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:","are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime:","= None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent =","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel):","None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is","= None self.EngineVersion = None self.Vip = None self.Vport = None self.Source =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel):","危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param","self.StartTime = None self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost","self.StartTime = None self.EventId = None self.Severity = None self.Outline = None self.DiagItem","InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set =","params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self):","params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\")","self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson","总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数","params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime","Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\"","手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"","ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo =","ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"",":param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type","= None self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost =","self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg","事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId","Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType:","Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName:","发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id,","None self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")",":type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type","联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product:","= None self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds =",":param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None self.OverviewDisplay = None","= None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def _deserialize(self,","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\"",":type RequestId: str \"\"\" self.TotalCount = None self.Items = None self.RequestId = None","self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","= None self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId =","\"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId:","None self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\")",":type Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None","Product: str \"\"\" self.Name = None self.ContactInfo = None self.Product = None def","RequestId: str \"\"\" self.TotalCount = None self.Items = None self.RequestId = None def","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\"","\"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData","None self.Volume = None self.EngineVersion = None self.Vip = None self.Vport = None","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is","self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds","None self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels = None","self.Vip = None self.Vport = None self.Source = None self.GroupId = None self.GroupName","= None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime =","class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str","SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\"","are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID:","params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","_deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId =","self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for","class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str","None self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")",":type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","= None self.Command = None self.Time = None self.Info = None def _deserialize(self,","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def","def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList = [] for item","None self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\")","str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None def _deserialize(self,","to in writing, software # distributed under the License is distributed on an","= params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost =","def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree","str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None","None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None","SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product:",":param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param","{instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType:","实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。","CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of","is not None: self.Events = [] for item in params.get(\"Events\"): obj = EventInfo()","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体","异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity",":param Id: 组id。 :type Id: int :param Name: 组名称。 :type Name: str :param",":type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：","_deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime =","健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress =","最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数","Apache License, Version 2.0 (the \"License\"); # you may not use this file","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def","DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\"","= params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set =",":type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`","\"\"\" self.IssueType = None self.Events = None self.TotalCount = None def _deserialize(self, params):","list of str :param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported",":type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"",":param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp","% \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type","params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\"","MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration =","_deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item in","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\"","self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product","DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param","= None self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType =","Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem:","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\")","TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param","\",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period:","you may not use this file except in compliance with the License. #",":param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported = None self.Product","= None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\")","float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param",":param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str","self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events",":type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type","self.Outline = None self.Severity = None self.ScoreLost = None self.Metric = None self.Count","线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def","None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\")","\",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime:","self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions","Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice","SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。","严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。","self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set","AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth =","= params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param","= None self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId =","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","Tencent company. All Rights Reserved. # # Licensed under the Apache License, Version","ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\"","InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy:","= params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","_deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def","= None self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit =","params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\")","最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数","Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。","组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name = None self.MemberCount =","Timestamp: list of int \"\"\" self.Series = None self.Timestamp = None def _deserialize(self,","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\"","Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product = None self.Names =","params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= params.get(\"Names\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in",":type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int","list of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None","TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float","日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。","non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str","None def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList = [] for","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\"","of float \"\"\" self.Metric = None self.Unit = None self.Values = None def",":type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\"","self.TotalCount = None self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount","\",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries:","null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param","DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of","params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo","Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id =","InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus =","DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str :param Host:","self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self):","BindInstanceIds: list of str \"\"\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName =","r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。","self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength","\"\"\" self.InstanceId = None self.ID = None self.User = None self.Host = None","self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for","self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset","\"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param User:","- 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId","排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param","= params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\"","float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int","int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int","None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None","_deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel):","None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data","指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。","= params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传","are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","None self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId =","under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\"","= params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status =","list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\"",":param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param","MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。",":param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param","= None def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data = HealthScoreInfo()","SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId:","self.Id = None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId","结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\"","指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of","MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels:","\",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:","SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param","params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\")",":type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self):","\"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries",":type RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\")","= params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,",":type Names: list of str \"\"\" self.Product = None self.Names = None def","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product:","Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy","params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\")","10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param","r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type","str :param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回","SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param","str \"\"\" self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls =","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = [] for","def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId:","self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId",":type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items = None self.RequestId =","IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C","self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail","\"\"\" self.Metric = None self.Unit = None self.Values = None def _deserialize(self, params):","如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\",","self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId","= params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume =","self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = [] for item","is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体","DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList:","params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\")","int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str","params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\"","Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product","ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType","= params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name,","self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime","__init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。","MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type","self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is not","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self):","is not None: self.Contacts = [] for item in params.get(\"Contacts\"): obj = ContactItem()","Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\")","self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\"))","线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。","ScoreItem \"\"\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items =","list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None","See the License for the specific language governing permissions and # limitations under","= None self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices =","\"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param","% \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\" :param ID: 线程ID。 :type","None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\")","params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\"))","self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode","None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj)","= params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu =","_deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema =","self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels","\"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime:","= params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None:","DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\")","ProfileName: str \"\"\" self.ProfileType = None self.Product = None self.Offset = None self.Limit",":param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\"","params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\")","str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\"","class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str","self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys())","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体","MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel):","= params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel):","= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product =",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId",":type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10","self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in","params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\")","Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources: list of str","self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime:","= None self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio =","None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product = None","[] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is","\"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData:","TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels:","= params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items():","EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels:","params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:",":type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product =","def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回","__init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name:","平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值","str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId = None def _deserialize(self,","self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy","r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" -",":type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回","实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。","AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax:","开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括：",":type RequestId: str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items = None","实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None self.Timestamp = None","self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset","RequestId。 :type RequestId: str \"\"\" self.Id = None self.RequestId = None def _deserialize(self,","IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count:","def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" -","= None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = []","CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param","EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus:","= None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio =","None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\")","self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId","注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def","self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength","self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus","= None self.Limit = None self.Offset = None self.SchemaList = None self.Product =","are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType:","= params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type","ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None",":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type","params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\")",":type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type","params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。",":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset:","self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for","内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。","Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def","保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str \"\"\"","ANY KIND, either express or implied. # See the License for the specific","self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\")","\",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id:","self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime","= None self.Source = None self.GroupId = None self.GroupName = None self.Status =","= None self.Product = None self.Offset = None self.Limit = None self.InstanceNames =","__init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","% \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type","def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type","self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion",":type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product =","params.get(\"ProfileList\") is not None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj =","self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def",":param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计","库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。","任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param","= None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is not None:","params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","_deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = []","。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库","self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType","结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。","= MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value","= params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set =","r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float","[] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\")","LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio:","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def","RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if",":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self):","None self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength = None","= params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info =","self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost","None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for","Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength:","StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。","% \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 日志导出任务Id。 :type","None self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType = None","ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str","SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param","None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\")",":type Metric: str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId = None","self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param","Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product","ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None self.ContactInfo","% \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type","None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\")","\"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups:","params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys())","\"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","self.Offset = None self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType","\"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric","def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel):",":type Product: str \"\"\" self.Name = None self.ContactInfo = None self.Product = None","obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,",":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None self.TableSchema = None","InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region:","str \"\"\" self.TotalCount = None self.Rows = None self.RequestId = None def _deserialize(self,","self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if","params): if params.get(\"Tasks\") is not None: self.Tasks = [] for item in params.get(\"Tasks\"):","\"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of","int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str","Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric:","None: self.Events = [] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj)","float \"\"\" self.Metric = None self.Unit = None self.Values = None def _deserialize(self,","= None self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId =","。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括：","Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio:","TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength:","SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for","_deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None def","None self.Product = None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is","\"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId: int :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self):","None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList",":type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas",":type Product: str \"\"\" self.InstanceId = None self.ID = None self.User = None","DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param","。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。","params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\")","int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip =","self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation = None self.Outline","str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str",":type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type",":type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None","self.StartDate = None self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId","writing, software # distributed under the License is distributed on an \"AS IS\"","Vport: int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId:","= None self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio =","= None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime =","self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\"","StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" -","扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost","params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\")","\"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int","= params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体","__init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int","str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel):","int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset =",":param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type","self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\")","实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括：","self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId = None def","= None self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem =","InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" -","InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime:","def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit","if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj","self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu","\"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups = None self.RequestId","list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount","= params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items():","self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set",":type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type","Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type","self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus","fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time =","\",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore:","InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:","实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。","self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime = None self.StartTime","self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId",":param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\"","of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","\"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type","str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type","__init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param",":type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type","\"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo","Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str","云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime =","fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param","def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。","self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例",":type RequestId: str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId = None","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User =","StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type","str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int","RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg:","params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","None self.StartTime = None self.EndTime = None self.CreateTime = None self.Status = None","- 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\"","of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type","params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","% \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type","None self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\")","任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。","= None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments =","RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self,",":param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str :param","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks =","fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param","file except in compliance with the License. # You may obtain a copy","self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\"","self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\")","item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId =","useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。","_deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\")","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def","useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。","ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self):",":param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param","。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\"",":type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体","None self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\")","None def _deserialize(self, params): if params.get(\"ProfileList\") is not None: self.ProfileList = [] for","None self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None","= None self.StartTime = None self.EndTime = None self.Product = None def _deserialize(self,","= params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items():","Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime =","= params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name,","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate","None self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId = None",":param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp = None","self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items","are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableName:","self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus","HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in",":type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type","BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy","健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\"","fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param","State: str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time:","self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost = None self.Metric","事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param",":type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str","= HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\"","is not None: self.Items = [] for item in params.get(\"Items\"): obj = SlowLogHost()","str \"\"\" self.DiagType = None self.EndTime = None self.StartTime = None self.EventId =","params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\")","\"\"\" self.ProfileList = None self.TotalCount = None self.RequestId = None def _deserialize(self, params):",":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime:",":type Timestamp: int \"\"\" self.Count = None self.Timestamp = None def _deserialize(self, params):","库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。","list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList","None self.EndTime = None self.Product = None self.DangerLevels = None def _deserialize(self, params):","None self.InstanceType = None self.Cpu = None self.Memory = None self.Volume = None","= None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None:","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int",":param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。","self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime","服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product:","def __init__(self): r\"\"\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type",":param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求",":param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of","def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type","params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value","class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type Count: int","= params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def","= params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\")","TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param","= params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit =","RequestId。 :type RequestId: str \"\"\" self.Threads = None self.SqlExecId = None self.RequestId =","亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int",":param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\"","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore =","None self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\")","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag =",":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize:","= params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion =","def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type","self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set","HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param ContactPerson:","None self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\")",":param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int :param","\",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount:","None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\")","SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime =","HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\"","= params.get(\"DbScanStatus\") if params.get(\"Items\") is not None: self.Items = [] for item in","_deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit =","def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType:","__init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param","None self.Offset = None self.Limit = None self.Product = None def _deserialize(self, params):","params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\")","GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type Id: int :param","- 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds:","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\")","self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId","class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str",":param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\"","= None self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId =","self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode","self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds","_deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set =","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.ID = None","cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set =",":param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:","r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int","self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime",":type Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None","None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\")","\",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount:","__init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\"","None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\")","Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress:","= params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity =","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\")","_deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name,","r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" -","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self):","\"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。","\",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount:","_deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData()",":param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告,","= None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema =","params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\")","None self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList = None","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\"","self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if","item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel):","EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables","Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str :param Values:","= params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline =","obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time = None","self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag","int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int","r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type","self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not","= None self.DiagItem = None self.InstanceId = None self.Metric = None self.Region =","开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。","= None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self,","SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime","self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region",":param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param","= params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None","self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in",":param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \"\"\" self.DailyInspection = None","SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId","ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set =",":param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:","\"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema =","= SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value",":type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type","params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\")","self.Events = [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param","str \"\"\" self.ProfileType = None self.Product = None self.Offset = None self.Limit =","= params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB =","params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is","params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = [] for item in params.get(\"Groups\"):","self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","_deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items():","self.TimeSeries = [] for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if","HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str",":type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def","Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem:","+ {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type","\"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。","% \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type",":param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\"","int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved.","= None self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType =","self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio","class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str","ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param","str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel):","= None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus =","self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime",":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None",":type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int","self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items =","\"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params):","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\"","DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param","self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId = None self.Product","if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj","= None self.Names = None def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names =","None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes","Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str","筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","None self.User = None self.Host = None self.DB = None self.State = None","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not","__init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\"","obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","= params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio =","= None self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds =","Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId:","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set =","\"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration:","\"\"\" self.Events = None self.RequestId = None def _deserialize(self, params): if params.get(\"Events\") is",":type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth","self.TotalCount = None self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount",":param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param","EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","self.Product = None self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds","EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str :param Severity:","RequestId: str \"\"\" self.TotalCount = None self.Rows = None self.RequestId = None def","ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText:","\",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","Schema: str \"\"\" self.InstanceId = None self.SqlText = None self.Schema = None def","= params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product =","str :param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type","_deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit =","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds:","Version 2.0 (the \"License\"); # you may not use this file except in","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel):","if params.get(\"SchemaList\") is not None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj","= EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value","if params.get(\"Tasks\") is not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj","int :param Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param","\",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType:","None self.ID = None self.User = None self.Host = None self.DB = None","None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\")","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel):","Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info:","of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series =","fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","= params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize =","UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。","fileds are useless.\" % \",\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup =","HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None","None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is","- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" -","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def","of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None","str \"\"\" self.Name = None self.ContactInfo = None self.Product = None def _deserialize(self,","12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param","fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None","params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\")","str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str","InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param","self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId = None def","StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str",":type Product: str \"\"\" self.InstanceId = None self.Stage = None self.Threads = None","params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None:","self.Memory = None self.Volume = None self.EngineVersion = None self.Vip = None self.Vport","self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info",":param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User = None","params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class",":type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None","self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product","导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime:","params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus = None","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。","= None def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series = []",":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。","返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str","None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel):",":type Regions: list of str \"\"\" self.IsSupported = None self.Product = None self.Offset","self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product","None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None","fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param","self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys())","UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId:","str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set =","fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param","= None self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime =","self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId",":type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType:","str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None","CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress:","Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime","self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items = None def","self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds","if params.get(\"Items\") is not None: self.Items = [] for item in params.get(\"Items\"): obj","Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None self.Timestamp","self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not","self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def","str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Threads = None","None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value in vars(self).items():",":type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持","\",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema:",":param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" -","_deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count =","self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for",":param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" -","of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。","None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def",":type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID","self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID","= params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan =",":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime:","HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount:","任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。","str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int","Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost","self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel):","磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求","self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength","None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\")","= None self.Regions = None self.Product = None self.InstanceIds = None def _deserialize(self,","int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int","None self.Metric = None self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\")","- 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param","MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param","= params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set =",":param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount:","bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT：","ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set =","% \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type","in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\")","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\"","is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\")",":param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str","None self.Vport = None self.Product = None self.EngineVersion = None def _deserialize(self, params):","def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId: int :param DiagType:","self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId","Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。","params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否;",":type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId","= None def _deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus =","MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。","__init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type","of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of","TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3","r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str",":param EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation:","if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for","params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体","DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。","obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def","params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param","of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail",":param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore =","HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int","self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name",":type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type","self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion = None self.Vip","params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。","= params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax =","in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体","IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体","= params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorFloatMetricSeriesData()","= None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = []","User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of","QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax:","None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys())","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\"","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def","are useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\"","RequestId。 :type RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId =","str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type","\"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param","单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self,","= params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\") self.InstanceType =",":type RequestId: str \"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self, params):","= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\")","State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str :param Time:","= ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set","self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\"Period\") if","None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params):","def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type","__init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID，","self.InstanceType = None self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion","int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None","under the Apache License, Version 2.0 (the \"License\"); # you may not use","InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为","_deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration()","params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\")","Limited, a Tencent company. All Rights Reserved. # # Licensed under the Apache",":param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str \"\"\"","= [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount =","self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp",":param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param","DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str :param Command:","not None: self.Rows = [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item)","None self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds = None","self.RequestId = None def _deserialize(self, params): if params.get(\"Data\") is not None: self.Data =","params.get(\"ProcessList\") is not None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj =","list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId:","def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile","% \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\"","\"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric","\",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl:","Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID","self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None:","= params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\")","self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product","ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail = None self.Region","params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","License, Version 2.0 (the \"License\"); # you may not use this file except","DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\"","中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime =","None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params):","= None self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId =","= params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set =","EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\",",":param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。","根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of","self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema","obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","\"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore","self.InstanceId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId",":param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type","params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\")","= params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit =","联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup:","SqlText: str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables:","self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if","self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\" def __init__(self):","\"\"\" self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree = None","item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId =","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None","str \"\"\" self.Id = None self.Name = None self.Mail = None def _deserialize(self,","User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB:","健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。","of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events","MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product =","AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name:","% \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",":type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str","self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate","self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio","self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","- 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses:","IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。","DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:",":class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime =","DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not","Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode:",":type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None","self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage","self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class",":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of","self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if","str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric","= params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg =","self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10","self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not","None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value","str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回","params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys())",":param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。",":type Product: str \"\"\" self.InstanceId = None self.EventId = None self.Product = None",":type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param","params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\"))",":param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:","% \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\")","= None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin =","None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\")","None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items():","= None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.Offset =","SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int","class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection:","def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel):","[] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\")","params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId =","str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\")","def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type","self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds:","\"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体","查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","str \"\"\" self.Growth = None self.Remain = None self.Total = None self.AvailableDays =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组","实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:","= params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime =","Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product:","= None self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime =","是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type","RequestId: str \"\"\" self.TotalCount = None self.Groups = None self.RequestId = None def","params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\"",":type Md5: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\")","DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio:","int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int","InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory:","ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list","null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","= None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\"DiagType\") self.EndTime =","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes","self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit = None def","self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg =","def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top","null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param","% \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type","EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus:","useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。","None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration","LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0","self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3","not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\"","碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self):","= None self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels =","= None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId =","self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for","% \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type","self.ProfileType = None self.Product = None self.Offset = None self.Limit = None self.ProfileName","str \"\"\" self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId =","= [] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =","None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None","= None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema =","库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None",":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName =","= None self.Severity = None self.StartTime = None self.Suggestions = None self.Metric =","InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip:","[] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys())","in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set))","str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int","params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class","params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product:","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName:","self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set",":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str :param","None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None","self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name",":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param","None self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime = None","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables =","params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\")","params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\"","严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。","self.SchemaList = [] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product","int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str","class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list","self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus","params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:",":type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def","_deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for item in","_deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList = [] for item in",":type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括：","UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime:","params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = [] for item in params.get(\"Contacts\"):","注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set",":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str :param","\"\"\" self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\")",":type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type","params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\")","= None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain =","params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","with the License. # You may obtain a copy of the License at","= MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self):","SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","\"\"\" self.Name = None self.ContactInfo = None self.Product = None def _deserialize(self, params):","[] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\")","params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体","None self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\")","接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。","str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName =","is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Stage = None self.Threads",":param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str :param","are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth:",":type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None","= None self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl =","of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails","StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。","EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads","MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =",":param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回","list of int \"\"\" self.Series = None self.Timestamp = None def _deserialize(self, params):","law or agreed to in writing, software # distributed under the License is","Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series = None self.Timestamp =","\"\"\" self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId = None","self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId","根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported = None self.Product = None",":type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type","注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType = None self.ScoreLost =",":param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str :param","= None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = []","分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param","ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product = None self.Offset","= params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId =","None self.EndTime = None self.CreateTime = None self.Status = None self.Progress = None","def _deserialize(self, params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for",":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName:","= params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels =","= params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set =","CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime:","__init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions:","params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\")","are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId:",":param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。","class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str","None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups = None","def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type","params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys())","= None self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period =","Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括：","= None self.State = None self.Command = None self.Time = None self.Info =","str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int","Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema","str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None","r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str","params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = [] for item in params.get(\"Rows\"):","None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None","DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId:","Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \"\"\" self.IssueType = None","= None self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported =","self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime","配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList: 实时线程列表。","from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name:","= None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime =","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel):","\"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒","磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。","params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows","= params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None:","of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemaTimeSeries =","ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" +","Product: str \"\"\" self.InstanceId = None self.EventId = None self.Product = None def","= None self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus =","失败；\"finished\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param","= params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name,","手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。","联系人/联系组不能都为空。 :type ContactGroup: list of int \"\"\" self.SendMail = None self.Region = None","AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore",":type Vip: str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type","\"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events:","self.ReportUrl = None self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl","任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\" - 失败；\"finished\" - 已完成。 :type","self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","self.Product = None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not","ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\"","params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Sources:","Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self):","= params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time","__init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type","self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate","Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:",":type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name = None","not None: self.Items = [] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item)","Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries","= params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set =","None self.Limit = None self.SortBy = None self.StartDate = None self.EndDate = None",":type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None","SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio:","TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf:","Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\")","None: self.Rows = [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj)","obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def",":type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo","FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。","= params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline =","RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg:",":param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self):","are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","\"\"\" self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData = None","str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User:",":type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type",":param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\"",":type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\" self.Product","% \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= None self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId =","\"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel):","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\"","\"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求",":type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type","= None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText =","params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括：","导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型）","for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore",":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for",":type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str","this file except in compliance with the License. # You may obtain a","= None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\")","__init__(self): r\"\"\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求","_deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime =","PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None self.Engine = None self.DataLength","诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type EventId: int :param","useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。","null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param","\"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type EventId: int","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self):","None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries = [] for","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def","class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float","\",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Id: 添加成功的联系人id。 :type Id:","def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set","= None self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy =","__init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId","class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list","IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int","int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\",","= None self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost =","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId","% \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type","list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体","None self.InstanceName = None self.Vip = None self.Vport = None self.Product = None","r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type","params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items","str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None:",":type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库",":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10","IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set","None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params):","def _deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for","self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。","QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit:","str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type","TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None","params.get(\"ContactInfo\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime",":param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param",":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName:","item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel):","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries","int \"\"\" self.UserHost = None self.Ratio = None self.Count = None def _deserialize(self,",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries","__init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求","None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount = None","self.Threads = None self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads","obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of",":param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param","查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param","class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str","PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas","TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost",":param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。","None self.Vip = None self.Vport = None self.Product = None self.EngineVersion = None","self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in","= None self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount =","required by applicable law or agreed to in writing, software # distributed under","int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int","str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。","str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str","params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\")","None self.Total = None self.AvailableDays = None self.RequestId = None def _deserialize(self, params):","None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema = None","str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type","实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\"",":param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio = None","= params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None:","None self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None","self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for","= None self.Vip = None self.Vport = None self.Source = None self.GroupId =","= params.get(\"ProfileName\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param","int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str","最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host","\"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema:","str \"\"\" self.Product = None self.Names = None def _deserialize(self, params): self.Product =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def","None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None","fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items():","Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type","= params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode =","str \"\"\" self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId =","StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo:","params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate = params.get(\"EndDate\") self.Product = params.get(\"Product\")","None self.Stage = None self.Threads = None self.SqlExecId = None self.Product = None","self.InstanceName = None self.Region = None self.HealthScore = None self.Product = None self.EventCount","根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product = None self.Offset =","\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type","self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames","= None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\"ProfileType\") self.Product =","= None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds =","None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\")","Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric = None","r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = []","def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel):","DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param","Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList:","in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\")","params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value","EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId:","float \"\"\" self.TableName = None self.TableSchema = None self.Engine = None self.DataLength =","CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param","self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not","组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of","\"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo:","self.EventId = None self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId","_deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime =","= None self.Command = None self.Time = None self.Info = None self.Limit =","str \"\"\" self.TotalCount = None self.Groups = None self.RequestId = None def _deserialize(self,","= None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus =",":param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param","= IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\")","item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set =","list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","\"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。","% \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def __init__(self): r\"\"\" :param Count: 总数 :type","list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime =","list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\"","RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime:","_deserialize(self, params): self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson =","self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema","str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str","of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。","def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item","self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set = set(params.keys()) for name, value in","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\")","self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series =","第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param","are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period:",":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None","= params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity =","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str","= params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in",":type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。","for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit:","None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\")","self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\") self.EndDate","\"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText:","= MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel","MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param","Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = [] for item","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\")","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId =","SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param",":type Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type","\"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\"","useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。",":type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type","Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None","self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit = None self.Offset","self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes","list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list","ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","RequestId: str \"\"\" self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation","self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\"",":param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param","开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param","r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None def _deserialize(self,","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks = None","params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value","= None self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit =","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\"","self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set",":param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。","= InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set","self.InstanceId = None self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId","is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name, value","MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","\"\"\" self.TotalCount = None self.Groups = None self.RequestId = None def _deserialize(self, params):","= params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None:","= [] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product =","self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax = params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost:","= None self.AsyncRequestIds = None self.Offset = None self.Limit = None def _deserialize(self,","UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count:","RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId = None def _deserialize(self,","实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress:","params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Product = params.get(\"Product\")","注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type","of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries =","__init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:","None: self.Tasks = [] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj)","健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求","注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str",":type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。",":param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of","线程的操作语句。 :type Info: str \"\"\" self.ID = None self.User = None self.Host =","str \"\"\" self.Advices = None self.Comments = None self.SqlText = None self.Schema =","Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName:","\",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data:","MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self):","str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId =","self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText",":param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param",":param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param","None self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\")","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup",":type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type","DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus:","= None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax =","% \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type","EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type","of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount =",":type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的",":type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：","the specific language governing permissions and # limitations under the License. import warnings","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set","None self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")","\"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset = None","= None self.Time = None self.Info = None def _deserialize(self, params): self.ID =","None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\")","Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int","str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int","Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime:","params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = [] for","= None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\") self.Product =","2.0 (the \"License\"); # you may not use this file except in compliance","self.InstanceId = None self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId","= params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type","__init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。","self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","if params.get(\"Contacts\") is not None: self.Contacts = [] for item in params.get(\"Contacts\"): obj","Timestamp: int \"\"\" self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count","self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\")",":param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo:","% \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type","= None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\"","% \",\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type","express or implied. # See the License for the specific language governing permissions","useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件","self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set","None self.DbScanStatus = None self.Items = None self.RequestId = None def _deserialize(self, params):","def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries =","\"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments:","A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under the","r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list","ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName","None self.Schema = None self.Tables = None self.SqlPlan = None self.Cost = None","self.Series = [] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp","None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None:","= params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float","self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp","总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位%","for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class","= [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp =","= params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name,",":param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength","QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio:","HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName","\",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks:","self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory = None self.Volume","CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress:","obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.RangeDays = None self.Product","LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5:","\"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName:","self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels = None def","params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\"","= None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId =","注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type","str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type","TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit:","= None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin =","are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ReportUrl:","params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId:","= None def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks = []","= None self.ScoreLost = None self.Metric = None self.Count = None def _deserialize(self,","None self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None","\"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit:",":param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","None self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory = None","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel):","# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","self.ScoreLost = None self.Metric = None self.Count = None def _deserialize(self, params): self.EventId","str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int","ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline:","self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in","\",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId:","\"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","self.Problem = None self.Severity = None self.StartTime = None self.Suggestions = None self.Metric","\",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads:","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel):","obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def",":param Count: 告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType = None","ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy:","str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:","ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str","= params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type",":type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type",":param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None","DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param",":param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","\"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28","str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport =","params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\")","not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item)","str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type","None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None","GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status:","LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin:","CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回","Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param",":type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。","- 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Limit","StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo:","= params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None:","null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId =","OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset:","float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\") self.SqlExecId","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not","r\"\"\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region:","self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip","for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str",":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period","= params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items():","- 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds:","class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str","- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str","12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy:","安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param","InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str","Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str","def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type","Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds","。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。","Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str","None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product =","= params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items():","None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\")",":param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\"","params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys())","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体","Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","= None self.Region = None self.HealthScore = None self.Product = None self.EventCount =",":type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\" - 待执行； \"running\" - 执行中；\"failed\"","except in compliance with the License. # You may obtain a copy of","_deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation =","实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。",":param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type","None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj)",":param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param","params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows = None self.RequestId =","self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = [] for item","self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime","ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host:","params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.StartDate = params.get(\"StartDate\")","\"\"\" self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime = None","str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int","= params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not","params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\"HealthStatus\")) memeber_set = set(params.keys()) for name,","\"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str :param Unit:","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =","该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost =",":type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \"\"\" self.TableName = None","开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param","def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回","TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events = None self.TotalCount",":type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list of str","params): self.Urls = params.get(\"Urls\") self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self):","线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。","= None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\")","Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def","self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime","obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def","self.Remain = None self.Total = None self.AvailableDays = None self.RequestId = None def",":type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin:","= params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items():","\"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\"","= None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin =","str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag =","__init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。","CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param","self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for",":type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product:","= None self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name =","\",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type","扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。","\"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param",":type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type","高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。","None self.StartTime = None self.EndTime = None self.Product = None def _deserialize(self, params):","r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def","= None self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads =","self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments","self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId","UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\"","class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type Metric: str","= None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\")","= params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset =","MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None","= None self.DB = None self.State = None self.Command = None self.Time =","self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self):","= None self.Schema = None self.Tables = None self.SqlPlan = None self.Cost =","EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime:","def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str","Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId","self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","= None self.EventId = None self.Explanation = None self.Outline = None self.Problem =","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions","self.Tasks = [] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId","= params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime =","Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit:","None self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit = None","self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name, value in","云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list",":type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type","self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not","None: self.Items = [] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj)","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID:",":param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds:","self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\"","__init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain:","= None self.StartDate = None self.EndDate = None self.Product = None def _deserialize(self,","params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\" :param SendMail:","int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\"","- 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" -","useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。","= params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId =",":param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType = None self.Product = None","params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\")","\"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int","Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str :param Mail:","AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str","str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。","= None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength = params.get(\"DataLength\") self.IndexLength =","= params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\") self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\")","r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str","int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:",":type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def","ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\"","None def _deserialize(self, params): if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for","software # distributed under the License is distributed on an \"AS IS\" BASIS,","AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId =",":param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND：","\"\"\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys())","= params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。 :type","= None self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory =","= None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def","Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames:","实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param","self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type","float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str","None self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit = None","实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param","self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","% \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type","扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel","self.Command = None self.Time = None self.Info = None self.Limit = None self.Product","EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str","Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str","self.TaskStatuses = params.get(\"TaskStatuses\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set","self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self):","self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceTablesRequest(AbstractModel): \"\"\"DescribeTopSpaceTables请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items:",":param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param",":param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param","None self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows = None","= [] for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set =","None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType =","str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int","= None self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\")","未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str","self.TaskStatus = params.get(\"TaskStatus\") self.UniqVpcId = params.get(\"UniqVpcId\") if params.get(\"InstanceConf\") is not None: self.InstanceConf =","= params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo()","None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\")","邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self,","str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float","[] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\")","Product: str \"\"\" self.InstanceId = None self.RangeDays = None self.Product = None def","QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg:",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None",":param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups:","self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore = None self.Product","def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount:","QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg:","self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not","SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。","DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param","= params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":type HealthScore: int :param HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。","obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def",":type Vport: int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type","params.get(\"RowsSentMax\") self.RowsSentMin = params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\")","class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list","self.Items = None def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax","__init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema:","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds","item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel):","筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax =","list of int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None","\"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。",":param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param","r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\"","= None self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId =","str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined =","结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"",":param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\"","self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str","注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status:","params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys())","\",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type TotalCount:","\",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def",":param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param","SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str","[] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\")","of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList =",":param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str :param","查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库",":param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param","子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。","None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData","ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str","params): self.Language = params.get(\"Language\") if params.get(\"MailConfiguration\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\"))","list of int \"\"\" self.SendMail = None self.Region = None self.HealthStatus = None","= None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength =","TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf:","self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax","RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes:","= None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self,","null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:","DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param","useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType = None self.EventId =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\"","= None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体","None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\")","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel):","str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type","HealthLevel: 健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param","self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds",":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" -","= None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin =","指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo :param","PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None self.Engine",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type","None self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\")","__init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。","None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\") is not None: self.InstanceConfs",":type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","\"\"\" self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport = None","implied. # See the License for the specific language governing permissions and #","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType = None self.EventId","TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list","RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin:","self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime","fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param","DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId:",":type Values: list of float \"\"\" self.Metric = None self.Unit = None self.Values","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\"","= params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 =","self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\"","云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\")","not None: self.Contacts = [] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item)","= params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type",":type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData:","self.TimeSeries = None self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period","任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。","= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") self.DataLength =","LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio:","= MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value","= params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None","None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\")","= params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def","params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\"","= None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf =","self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in","__init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None def","服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list","InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product:","# See the License for the specific language governing permissions and # limitations","params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type","params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\")","str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime =","is not None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj = MySqlProcess()","self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","= params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount =","RequestId: str \"\"\" self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls","Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit:","item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId =","健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set","class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str","self.Metric = params.get(\"Metric\") self.Region = params.get(\"Region\") memeber_set = set(params.keys()) for name, value in","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。","= None self.Threads = None self.SqlExecId = None self.Product = None def _deserialize(self,","self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if","CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of","None self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None","__init__(self): r\"\"\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type","= params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self): r\"\"\" :param","str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId = None def _deserialize(self,","ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \"\"\"","self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def","= None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId =",":type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体","self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if","= params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product =",":param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中；","self.EventId = None self.DiagType = None self.StartTime = None self.EndTime = None self.Outline","核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。","class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo`",":type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param",":param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param","params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","\"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def _deserialize(self, params):","int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit:","StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str",":type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:","= params.get(\"RequestId\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","[] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\")",":type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type","\"\"\" self.UserHost = None self.Ratio = None self.Count = None def _deserialize(self, params):",":param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set","params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel):","params): if params.get(\"TopSpaceSchemas\") is not None: self.TopSpaceSchemas = [] for item in params.get(\"TopSpaceSchemas\"):",":param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\"","需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param","None self.StartTime = None self.EndTime = None self.Outline = None self.Severity = None","= params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = [] for item in","params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit:","self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items =","\"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime:","self.SendMail = params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup","str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" -","Product: str \"\"\" self.InstanceId = None self.ID = None self.User = None self.Host","None self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\")","\"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries:","= None self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId =","\"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。","params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product:","self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup","GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagEventRequest(AbstractModel): \"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId =","None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\")","self.InstanceName = None self.Vip = None self.Vport = None self.Product = None self.EngineVersion","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel):","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\")","None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params):","useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求","= [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount =","InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。","云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set","params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\")","r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type","TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param","self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit","self.State = None self.Command = None self.Time = None self.Info = None self.Limit","params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\") self.Offset = params.get(\"Offset\")","self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\"",":type IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount:","ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails =","碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。","self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength","DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int","if params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj",":param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param","报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param","- 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime","self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in","params): self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\")","class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list","= None self.Vport = None self.Product = None self.EngineVersion = None def _deserialize(self,",":type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None","params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\")","- 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type","self.SqlExecId = params.get(\"SqlExecId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\"","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params):","% \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTableTimeSeries\") is not None: self.TopSpaceTableTimeSeries =","= [] for item in params.get(\"Rows\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId =","DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of","obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel):","int \"\"\" self.IssueType = None self.Events = None self.TotalCount = None def _deserialize(self,","\"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None","= params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\")","= None self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList =","\"\"\"用户配置的相关信息，包括邮件配置。 \"\"\" def __init__(self): r\"\"\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str","str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str",":type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type","class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported:","self.Host = None self.DB = None self.State = None self.Command = None self.Time","str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds:",":type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime:","= params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip =","in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys())","__init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId =",":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\"","are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体","list of int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","\"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param","obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs =","MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime =","self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name","Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem","self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\"","fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param",":param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str :param",":type ProfileName: str \"\"\" self.ProfileType = None self.Product = None self.Offset = None","are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series:","None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\")","self.IssueType = params.get(\"IssueType\") self.ScoreLost = params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not","list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series",":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\"","governing permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model import",":type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type","None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self):","str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str",":type Schema: str \"\"\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\")","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts = [] for item","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreItem(AbstractModel): \"\"\"诊断扣分项。 \"\"\" def","self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","RequestId: str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId = None def","= params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows =","= params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for","self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not","EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy:","SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\"","= UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTables = None","params.get(\"ScoreLost\") self.ScoreLostMax = params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = [] for",":type Id: int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type",":type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup","\"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts:","are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","__init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names:","= None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.SqlText = params.get(\"SqlText\") self.Schema =","= None self.InstanceNames = None self.InstanceIds = None self.Regions = None def _deserialize(self,","params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events = [] for item in params.get(\"Events\"):","params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value","class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名 :type TableSchema: str","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\")","Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\"Instance\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \"\"\" self.ProfileInfo =",":param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str :param","= None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count =","int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str","for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime","fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param",":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。","str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType =","= None self.EndTime = None self.Product = None self.Md5 = None def _deserialize(self,",":type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type","self.ScoreLost = None self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType","= None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceSchemas\") is not None:","item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel):","null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric = None self.Unit = None","list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series",":param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param","self.Stage = None self.Threads = None self.SqlExecId = None self.Product = None def","in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value","None self.EndTime = None self.StartTime = None self.EventId = None self.Severity = None","Id: int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail:","% \",\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type","null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。","Limit: int \"\"\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset","params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\")",":type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\"","= set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if",":type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type",":type Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回","已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。","KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\"",":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param","- 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.EventId",":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None","self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def",":param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\"","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events = None self.RequestId = None def","non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime =","= [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId =","= None self.TaskStatuses = None self.Offset = None self.Limit = None self.Product =",":param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\"",":param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param","self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds = None def","self.DiagType = None self.StartTime = None self.EndTime = None self.Outline = None self.Severity","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\"",":type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region:","int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str","MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in","in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\")","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def","IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count:",":param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items:","self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\"","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None","SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str","= TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\"))","self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList = None self.Product","= params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。","Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported = None self.Product =","= params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = []","= params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name,",":type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0","self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id","None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None","最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒","= params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId =","if params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product","self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric = None self.Region","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self):","None self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\")","class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language:","[] for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\")","邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param","def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product","- 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回","CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def","= params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product =","DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of","Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int","= None self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration =","params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries = [] for","配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\"","= params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time =","str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for","Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type ProfileName: str \"\"\" self.ProfileType","任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param","params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product:","异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\"","= params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set =","is not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj = HealthReportTask()","SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio","= params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio =",":type RequestId: str \"\"\" self.TotalCount = None self.Contacts = None self.RequestId = None","该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio = None self.Count =","params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","= None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total =","EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库",":param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C","= None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source =","self.IssueTypes = [] for item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount","params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\")","useless.\" % \",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称","Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","Product: str \"\"\" self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId","TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength:",":param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str :param","def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources","self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate = None self.EndDate","RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate:","DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int :param","SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。","class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`","None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj)","\"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。","are useless.\" % \",\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \"\"\"DescribeMySqlProcessList返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProcessList:","= None self.TableSchema = None self.Engine = None self.SeriesData = None def _deserialize(self,",":type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type","str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param","异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" -","str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str","str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type",":param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails:","applicable law or agreed to in writing, software # distributed under the License","DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。","class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 联系人的总数量。 :type TotalCount: int","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Time = params.get(\"Time\") self.Product","Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices =","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\"","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\"","int \"\"\" self.EventId = None self.DiagType = None self.StartTime = None self.EndTime =","Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric:","str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int","null，表示取不到有效值。 :type PhysicalFileSize: float \"\"\" self.TableSchema = None self.DataLength = None self.IndexLength =","params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\")",":type DiagType: str :param EventId: 事件 ID 。 :type EventId: int :param Explanation:","self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes =","ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\"","= None self.Problem = None self.Severity = None self.StartTime = None self.Suggestions =","= None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def _deserialize(self,",":type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema = None self.Engine = None","RequestId。 :type RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self,","12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","= None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is not None:","\"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries:",":type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name,",":param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy:","def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp:","for the specific language governing permissions and # limitations under the License. import","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items = None self.RequestId","not None: self.Events = [] for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item)","IssueTypeInfo(AbstractModel): \"\"\"指标信息。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param","Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip:",":type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。","时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -","% \",\".join(memeber_set)) class HealthStatus(AbstractModel): \"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type","int \"\"\" self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count =","= None self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength =","Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList:","self.Items = [] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId","CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","self.InstanceId = None self.StartTime = None self.EndTime = None self.Product = None def","vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are","= params.get(\"DataFree\") self.TotalLength = params.get(\"TotalLength\") self.FragRatio = params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize =","否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of","item in params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set =","- 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.StartTime","class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list","params.get(\"Limit\") self.InstanceNames = params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys())","self.Limit = params.get(\"Limit\") self.SortBy = params.get(\"SortBy\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","__init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments:","for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class",":type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type","int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId =","= params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport =","Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas =","None def _deserialize(self, params): if params.get(\"IssueTypes\") is not None: self.IssueTypes = [] for",":param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\"","def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime","= None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay = params.get(\"OverviewDisplay\") memeber_set =","(the \"License\"); # you may not use this file except in compliance with","= params.get(\"EndDate\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str","r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time:","= params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items():","= None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if params.get(\"IssueTypes\")","异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param","None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo","实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class IssueTypeInfo(AbstractModel):","list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Events","params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys()) for name, value",":param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\"","InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\"","内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。","= None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel =","Region: 地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime = None self.StartTime","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage = params.get(\"Stage\") self.Threads = params.get(\"Threads\")","InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime:","__init__(self): r\"\"\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User:","not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\"MailConfiguration\")) memeber_set = set(params.keys()) for name, value in","_deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel):","class KillMySqlThreadsResponse(AbstractModel): \"\"\"KillMySqlThreads返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list","% \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。 :type","Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","None self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo = params.get(\"ContactInfo\")","is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value","def __init__(self): r\"\"\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。","self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status","- 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" -",":type RequestId: str \"\"\" self.Tasks = None self.TotalCount = None self.RequestId = None","None self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\"TableName\")","None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str","None self.Vip = None self.Vport = None self.Source = None self.GroupId = None","str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText =",":param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param","= params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag =","FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize:","in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体","ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回","int \"\"\" self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson =","str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str","= params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param","SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\"",":type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type","None self.Comments = None self.SqlText = None self.Schema = None self.Tables = None","00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product:","self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def","\"\"\"DescribeDBDiagEvent请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str","None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio = params.get(\"Ratio\") self.Count = params.get(\"Count\")","Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\"","_deserialize(self, params): self.Product = params.get(\"Product\") self.Names = params.get(\"Names\") memeber_set = set(params.keys()) for name,","r\"\"\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param","EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName: 表名。",":param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of","= None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount =","if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys()) for name, value in vars(self).items():","_deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host =","% \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type",":param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param","params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","= None self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName =","Md5: str \"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def __init__(self):","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self):","实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。","__init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求","params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\")","None self.AsyncRequestIds = None self.Offset = None self.Limit = None def _deserialize(self, params):","\"\"\" self.Id = None self.Name = None self.MemberCount = None def _deserialize(self, params):","\",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。 \"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes:","配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。","[] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\"RequestId\")","params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\")",":class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \"\"\" self.AsyncRequestId = None self.Source =","params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= None self.Offset = None self.Limit = None self.Product = None def _deserialize(self,","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体","= params.get(\"MemberCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","str :param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.InstanceId = None self.StartTime =","float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float","= params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name,","self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\") self.Outline = params.get(\"Outline\") self.Problem","DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \"\"\" self.SecAuditGroupId","self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set","__init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries:","Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","= params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = [] for item in",":param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param",":param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param","SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin =","监控指标对应的时间戳。 :type Timestamp: list of int \"\"\" self.Series = None self.Timestamp = None","None self.TaskStatuses = None self.Offset = None self.Limit = None self.Product = None","\"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param Language: 语言, 如\"zh\"。 :type Language: str :param","= params.get(\"EndTime\") self.InstanceIds = params.get(\"InstanceIds\") self.Sources = params.get(\"Sources\") self.HealthLevels = params.get(\"HealthLevels\") self.TaskStatuses =","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId = None def","params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source = params.get(\"Source\")","int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu","RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin:","str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str","\"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData","str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int","- 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\"",":param MemberCount: 组成员数量。 :type MemberCount: int \"\"\" self.Id = None self.Name = None","are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\"","= None self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize =","SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。","int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：","= params.get(\"ID\") self.User = params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State =","None self.ScoreLost = None self.ScoreLostMax = None self.Items = None def _deserialize(self, params):","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。",":type ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost","DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBDiagReportTasksRequest(AbstractModel): \"\"\"DescribeDBDiagReportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\"","服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product:","= None self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId =","params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\"","None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus =","None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None","\"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。","None self.Source = None self.GroupId = None self.GroupName = None self.Status = None","params.get(\"SendMail\") self.Region = params.get(\"Region\") self.HealthStatus = params.get(\"HealthStatus\") self.ContactPerson = params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\")",":type TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows: list of","useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。","Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Tasks = None self.RequestId","SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。",":type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\"","self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if","索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。","= params.get(\"RowsSentMin\") self.ExecTimes = params.get(\"ExecTimes\") self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema =","params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\") self.Metric = params.get(\"Metric\")","self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。 \"\"\" def __init__(self): r\"\"\"","= params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set =",":type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" -","= None def _deserialize(self, params): self.ID = params.get(\"ID\") self.User = params.get(\"User\") self.Host =","= None self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows =","\",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj)","诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。","useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\") is","= ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \"\"\"ModifyDiagDBInstanceConf请求参数结构体 \"\"\"","DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","RequestId: str \"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId","TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem","= SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self):","\"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName:","__init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class CreateSchedulerMailProfileRequest(AbstractModel): \"\"\"CreateSchedulerMailProfile请求参数结构体 \"\"\" def __init__(self):","self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\"","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = []",":type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime:","params.get(\"SchemaList\") is not None: self.SchemaList = [] for item in params.get(\"SchemaList\"): obj =","in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys())","Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays:","MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\"","self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for","self.Vport = None self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId","MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthStatus(AbstractModel):","\"\"\"实例健康详情。 \"\"\" def __init__(self): r\"\"\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel:","CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param",":param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 -",":param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"]。 :type HealthStatus: list of str :param","non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int",":type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data","self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\"","= params.get(\"RequestId\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID","= None self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses =","obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def","self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio","RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData =","params.get(\"Ratio\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\")","EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport:","self.QueryTimeAvg = params.get(\"QueryTimeAvg\") self.RowsSentAvg = params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5","float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float","= None self.Product = None self.InstanceIds = None def _deserialize(self, params): if params.get(\"InstanceConfs\")","AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused：","= None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId =","None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is not None: self.Series",":type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\"",":type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","params.get(\"ScoreLostMax\") if params.get(\"Items\") is not None: self.Items = [] for item in params.get(\"Items\"):","self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in","params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\") self.EventCount = params.get(\"EventCount\")","self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg","self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if","Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId",":param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param","= None self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount =","are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:","None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime =",":type RequestId: str \"\"\" self.TotalCount = None self.Groups = None self.RequestId = None","云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int","QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent:","def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId:","for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel): \"\"\"实例配置。 \"\"\" def __init__(self):","ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list","12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product:","are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:",":type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.ID = params.get(\"ID\") self.User","= None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId =",":type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \"mysql\"","线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。","self.EndTime = None self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId",":type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。","fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel):","self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin","\"\"\" self.TotalCount = None self.Items = None self.RequestId = None def _deserialize(self, params):","int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product =","params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions = params.get(\"Suggestions\")","for item in params.get(\"Events\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\"RequestId\") class","params.get(\"InstanceId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","\",\".join(memeber_set)) class SchemaItem(AbstractModel): \"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema:","params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\")","def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime",":param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type EventId:","if params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj","self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson","= params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SortBy = params.get(\"SortBy\") self.OrderBy = params.get(\"OrderBy\") self.Limit = params.get(\"Limit\")","params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\"","% \",\".join(memeber_set)) class GroupItem(AbstractModel): \"\"\"描述组信息。 \"\"\" def __init__(self): r\"\"\" :param Id: 组id。 :type","邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\"mysql\"。 :type Product: str \"\"\" self.Name","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceConfs(AbstractModel):","of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括：",":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime:","params.get(\"RequestId\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \"\"\"CreateSecurityAuditLogExportTask请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:","r\"\"\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str","Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:","None self.Host = None self.DB = None self.State = None self.Command = None",":param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None","for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.Time = None self.Product","None self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\")","= params.get(\"RowsSentAvg\") self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\"","联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name = None self.Mail =","def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class","= params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items():","str \"\"\" self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources =","params.get(\"InstanceConfs\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product =","fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.Tasks = [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount","ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int","self.Time = params.get(\"Time\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","= None self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime =","self.Schema = None def _deserialize(self, params): self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for","warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \"\"\"AddUserContact请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Growth = None self.Remain","params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType:",":param EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType:","self.Command = None self.Time = None self.Info = None def _deserialize(self, params): self.ID","int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \"mysql\"","= params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","= params.get(\"Region\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type","IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str","def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp:","= None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio =","params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag = params.get(\"InitFlag\")",":param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表 :type",":type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type","is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\")","- 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self):","None self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit = None","= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\")","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProfileList = None","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\"","ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type","= params.get(\"RequestId\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \"\"\"DescribeSlowLogUserHostStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","\"\"\" def __init__(self): r\"\"\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。","云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration",":param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param","= None self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId =","InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type","self.SortBy = None self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList","self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。","self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId","name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0:","开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity:","self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\") if params.get(\"ScoreDetails\") is not None: self.ScoreDetails =","DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus:","总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of",":param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param","int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Id = None","\",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。","self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime",":type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type","self.EndTime = None self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime","= None self.Offset = None self.Limit = None self.ProfileName = None def _deserialize(self,","self.TotalCount = None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount","\",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据 \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。 :type Series:",":type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回","InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list","fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel = params.get(\"ProfileLevel\")","self.Id = None self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id","InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" -","self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name, value in","params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) >","= None self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit =","RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate:",":type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type","fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") self.Limit","WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data = None self.RequestId =","InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None",":param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str :param","= params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric =","r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None","Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State:","params.get(\"State\") self.Command = params.get(\"Command\") self.Time = params.get(\"Time\") self.Info = params.get(\"Info\") memeber_set = set(params.keys())","self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric","int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId = None self.Product =","params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置","EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status:",":param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int \"\"\"","r\"\"\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int","str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def _deserialize(self,","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体 \"\"\" def __init__(self):","self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\") self.Time","各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \"\"\"DescribeHealthScore返回参数结构体","定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" -",":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Groups\") is not None: self.Groups = []","_deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\")","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\")","ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId:","= None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType =",":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str","实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName:","params.get(\"FragRatio\") self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value","License. # You may obtain a copy of the License at # #","for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set","RequestId: str \"\"\" self.ProfileList = None self.TotalCount = None self.RequestId = None def","def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product = params.get(\"Product\") self.Offset = params.get(\"Offset\") self.Limit","params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\")","self.TableRows = params.get(\"TableRows\") self.PhysicalFileSize = params.get(\"PhysicalFileSize\") memeber_set = set(params.keys()) for name, value in","执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def","are useless.\" % \",\".join(memeber_set)) class TableSpaceData(AbstractModel): \"\"\"库表空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableName:",":param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime:","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体 \"\"\" def __init__(self):","DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\")","def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type",":type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type","\"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。","\"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag = None","self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel): \"\"\"邮件发送配置 \"\"\" def __init__(self): r\"\"\"","该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem =","None self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\")","\"\"\"SchemaItem数组 \"\"\" def __init__(self): r\"\"\" :param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema",":param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param","None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj)","诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间","self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId","Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。","= params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount = params.get(\"MemberCount\") memeber_set = set(params.keys()) for name,","任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime:","None self.EngineVersion = None self.Vip = None self.Vport = None self.Source = None","class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 实例总数。 :type TotalCount: int","null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str \"\"\" self.DiagType =","邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","params.get(\"Rows\") is not None: self.Rows = [] for item in params.get(\"Rows\"): obj =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \"\"\"CreateDBDiagReportTask请求参数结构体","int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \"\"\" self.TableName = None self.TableSchema =","are useless.\" % \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId:","r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type","TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求","self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values","TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema","self.Tasks = None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if",":type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param","Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，","AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" -","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows = None self.RequestId","None self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels = None","TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type","% \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。 :type","params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\")","def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.RequestId = None def _deserialize(self,","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.AsyncRequestId =","= None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio =","obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items():","Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId:","= params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.StartTime = None self.EndTime","self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName","Metric: str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。",":type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName:","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls = None self.RequestId = None","MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.InstanceId = None self.AsyncRequestId = None self.Product =","None self.Source = None self.Progress = None self.CreateTime = None self.StartTime = None","数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。","self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId",":param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param","params.get(\"Suggestions\") self.Metric = params.get(\"Metric\") self.EndTime = params.get(\"EndTime\") self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体","params.get(\"TableSchema\") if params.get(\"SeriesData\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys())","= None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup =","= None self.Product = None self.Offset = None self.Limit = None self.ProfileName =","self.TotalCount = params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = [] for item","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \"\"\"DescribeDiagDBInstances返回参数结构体 \"\"\"",":type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type",":type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type","params.get(\"ScoreLost\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","params.get(\"ScoreDetails\") is not None: self.ScoreDetails = [] for item in params.get(\"ScoreDetails\"): obj =","None self.TableSchema = None self.Engine = None self.SeriesData = None def _deserialize(self, params):","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体",":param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL，",":param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库","None self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions = None","None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Tasks\") is","Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL。 :type","\"\"\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product = None","in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys())","r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\"","None self.ContactPerson = None self.ContactGroup = None self.Product = None def _deserialize(self, params):","ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" -",":param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \"\"\" self.Metric =","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:",":type SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys())","int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str","float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float","StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 -","str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str",":type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param","\"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source:","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.ProcessList = None self.RequestId = None def","None self.Product = None self.Offset = None self.Limit = None self.ProfileName = None","self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class","StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str","= None self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId =",":param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of","self.DiagType = params.get(\"DiagType\") self.EndTime = params.get(\"EndTime\") self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity","\"\"\" self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate = None","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel):","% \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。","params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Metric:","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel):","\"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength:","概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。","实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId =","Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit:","库名。 :type Schema: str \"\"\" self.InstanceId = None self.SqlText = None self.Schema =","str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type","params.get(\"TotalCount\") if params.get(\"Items\") is not None: self.Items = [] for item in params.get(\"Items\"):","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemas返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceSchemas:","fileds are useless.\" % \",\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \"\"\"库空间统计数据。 \"\"\" def __init__(self): r\"\"\" :param","= params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost:","self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") if params.get(\"ProfileInfo\") is not","use this file except in compliance with the License. # You may obtain","self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\") self.InitFlag","r\"\"\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" -","_deserialize(self, params): self.Threads = params.get(\"Threads\") self.SqlExecId = params.get(\"SqlExecId\") self.RequestId = params.get(\"RequestId\") class MailConfiguration(AbstractModel):","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \"\"\"ModifyDiagDBInstanceConf返回参数结构体","class DescribeAllUserGroupRequest(AbstractModel): \"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str","Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames:","- 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Md5:","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type","fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","\"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem","None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Vip = params.get(\"Vip\")","params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys())","item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel):","list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries","\"\"\" self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore = None","params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\")","self.DiagItem = None self.InstanceId = None self.Metric = None self.Region = None def","= None self.Source = None self.Progress = None self.CreateTime = None self.StartTime =","= None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\"IsSupported\") self.Product =","self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Source",":param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of","= params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name,",":param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1","for item in params.get(\"TopSpaceSchemas\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId","useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileList: 邮件配置详情。",":type RequestId: str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData = None","None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items():","params): if params.get(\"Events\") is not None: self.Events = [] for item in params.get(\"Events\"):","self.SqlTemplate = params.get(\"SqlTemplate\") self.SqlText = params.get(\"SqlText\") self.Schema = params.get(\"Schema\") self.QueryTimeRatio = params.get(\"QueryTimeRatio\") self.LockTimeRatio","线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str \"\"\" self.ID =","def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type","is not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo()","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\"","None self.Severity = None self.ScoreLost = None self.Metric = None self.Count = None",":type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type","+ {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product:","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体",":type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库","\"\"\" self.TotalCount = None self.Contacts = None self.RequestId = None def _deserialize(self, params):","useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\" :param LockTime: sql总锁等待时间，单位秒","None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\")","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthReportTask(AbstractModel): \"\"\"健康报告任务详情。",":type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type","not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item)","None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in vars(self).items():",":type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type","str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type","线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\"","None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\")","= params.get(\"Vport\") self.Product = params.get(\"Product\") self.EngineVersion = params.get(\"EngineVersion\") memeber_set = set(params.keys()) for name,","= None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None:","params.get(\"Metric\") self.Unit = params.get(\"Unit\") self.Values = params.get(\"Values\") memeber_set = set(params.keys()) for name, value","int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type","is not None: self.Groups = [] for item in params.get(\"Groups\"): obj = GroupItem()","# distributed under the License is distributed on an \"AS IS\" BASIS, #","self.Metric = None self.Count = None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType","= None self.ScoreLost = None self.ScoreLostMax = None self.Items = None def _deserialize(self,","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit =","r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list","self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys())",":param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param","is not None: self.TopSpaceTables = [] for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData()","ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" -","not None: self.ProfileList = [] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item)","str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0","self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class MonitorFloatMetric(AbstractModel): \"\"\"监控数据（浮点型） \"\"\"","\"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows:","useless.\" % \",\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \"\"\"DescribeAllUserGroup返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 组总数。","QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio:","健康等级，取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\"- 危险；\"HIGH_RISK\" - 高危。 :type HealthLevel: str :param ScoreLost:","EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events =","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Tasks = None self.TotalCount =","self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。","params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int","params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\")","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel):","str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\"","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \"\"\"DescribeMailProfile返回参数结构体 \"\"\" def __init__(self):","useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务的请求","RequestId。 :type RequestId: str \"\"\" self.ReportUrl = None self.ExpireTime = None self.RequestId =",":param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \"mysql\" -","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\"",":type ScoreLost: int \"\"\" self.DiagItem = None self.IssueType = None self.TopSeverity = None","self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set","InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\"","str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str","obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set =","self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product","self.TaskStatuses = None self.Offset = None self.Limit = None self.Product = None def",":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime:","= None def _deserialize(self, params): self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.InstanceIds =","for item in params.get(\"TimeSeries\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\"SeriesData\") is not",":type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type","self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = [] for item","of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore:","self.ProcessList = [] for item in params.get(\"ProcessList\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId","SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId",":param EngineVersion: 实例引擎版本。 :type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None","\"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str",":param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param","None self.RequestId = None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables","int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\"scheduler_\" + {instanceId}，如\"schduler_cdb-test\"。 :type","def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows =","= params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport = params.get(\"Vport\") self.Source =","\"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks:","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","_deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") self.DbScanStatus = params.get(\"DbScanStatus\") if params.get(\"Items\") is not None:","self.AsyncRequestIds = None self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None","Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str :param GroupId:","\"\"\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None","None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\"Growth\") self.Remain = params.get(\"Remain\")","int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float",":type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\"mysql\" -","DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param","线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。","\",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls:","None def _deserialize(self, params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Contacts\") is not None: self.Contacts","params.get(\"Growth\") self.Remain = params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\")","None self.Name = None self.Mail = None def _deserialize(self, params): self.Id = params.get(\"Id\")","params): self.TotalCount = params.get(\"TotalCount\") if params.get(\"Rows\") is not None: self.Rows = [] for","params.get(\"AsyncRequestId\") self.Source = params.get(\"Source\") self.Progress = params.get(\"Progress\") self.CreateTime = params.get(\"CreateTime\") self.StartTime = params.get(\"StartTime\")","= None self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount =","SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\",","self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses","StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product:","QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent:","None self.ProfileType = None self.Product = None self.BindInstanceIds = None def _deserialize(self, params):","not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\"TopSpaceTableTimeSeries\"): obj = TableSpaceTimeSeries() obj._deserialize(item)","Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined","= params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost = params.get(\"ScoreLost\") self.Metric = params.get(\"Metric\") self.Count =","self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \"\"\"获取健康得分返回的详情。","str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData =","= None self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric =",":param Md5: SOL模板的MD5值 :type Md5: str \"\"\" self.LockTime = None self.LockTimeMax = None","params.get(\"Product\") self.InstanceIds = params.get(\"InstanceIds\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= None self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset =","params.get(\"TopSpaceSchemaTimeSeries\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\"TopSpaceSchemaTimeSeries\"): obj =","str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str","item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel):","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\"","not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product","= None self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId =","= None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime =","InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions = None self.Product =","Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库",":type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type","Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip:","Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:","SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate:","= params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def __init__(self): r\"\"\" :param","self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin","in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore = params.get(\"HealthScore\")","\"\"\" self.InstanceId = None self.RangeDays = None self.Product = None def _deserialize(self, params):","self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported = params.get(\"IsSupported\") self.SecAuditStatus = params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\")","def _deserialize(self, params): if params.get(\"Events\") is not None: self.Events = [] for item","r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Groups =","params.get(\"Limit\") self.Offset = params.get(\"Offset\") if params.get(\"SchemaList\") is not None: self.SchemaList = [] for",":type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type","RequestId: str \"\"\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class","self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType = None self.Cpu","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries =","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。 \"\"\" def","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceTableTimeSeries返回参数结构体",":param Region: 地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime = None","params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","= params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 =","None self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\")","。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库","None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params):","None def _deserialize(self, params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\")","params): self.DiagItem = params.get(\"DiagItem\") self.DiagType = params.get(\"DiagType\") self.EventId = params.get(\"EventId\") self.Explanation = params.get(\"Explanation\")","None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\")","= None self.Unit = None self.Values = None def _deserialize(self, params): self.Metric =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据","None self.Memory = None self.Volume = None self.EngineVersion = None self.Vip = None","RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def","class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int","= [] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId =","= params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel): \"\"\"DescribeDiagDBInstances请求参数结构体 \"\"\" def","str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy:","= None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail =","= None self.Values = None def _deserialize(self, params): self.Metric = params.get(\"Metric\") self.Unit =","MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str :param Offset: 分页参数，偏移量。","str \"\"\" self.Data = None self.RequestId = None def _deserialize(self, params): if params.get(\"Data\")","self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds = params.get(\"BindInstanceIds\") memeber_set = set(params.keys()) for","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem = None self.DiagType =","str :param Count: 告警数目。 :type Count: int \"\"\" self.EventId = None self.DiagType =","IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT：","云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type","注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str",":type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type","class DescribeSlowLogTopSqlsRequest(AbstractModel): \"\"\"DescribeSlowLogTopSqls请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type",":type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type","self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore","实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param","str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type",":type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:","def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。","str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str","= None def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel):","安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TimeSlice(AbstractModel): \"\"\"单位时间间隔内的慢日志统计 \"\"\" def","str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int","self.TotalCount = None self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount",":type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \"\"\" self.IssueType","str :param Region: 地域。 :type Region: str \"\"\" self.DiagType = None self.EndTime =","IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength:","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def",":param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts:","self.RequestId = params.get(\"RequestId\") class DescribeDBDiagHistoryRequest(AbstractModel): \"\"\"DescribeDBDiagHistory请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例","\"\"\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\"AsyncRequestId\")","Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\"","= [] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId =","self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\"UserHost\") self.Ratio","None def _deserialize(self, params): if params.get(\"TopSpaceTables\") is not None: self.TopSpaceTables = [] for","DiagType: str :param EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。","self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product","__init__(self): r\"\"\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \"mysql\"","self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax","params.get(\"InstanceId\") self.EventId = params.get(\"EventId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","item in params.get(\"IssueTypes\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\"EventsTotalCount\") self.HealthScore =","唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Rows = None","Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. #","params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\")","= [] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =","Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Data =","= params.get(\"Info\") self.Limit = params.get(\"Limit\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Urls =","params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\") class CreateMailProfileRequest(AbstractModel): \"\"\"CreateMailProfile请求参数结构体 \"\"\" def __init__(self):","服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \"\"\"","无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\"","int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId:","\"cynosdb\" - 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type","self.TableName = None self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength","of str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。","for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\"RequestId\") class","of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type","class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type","float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float","None self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan = None","导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:","- 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\"","r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","实例 ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId:","注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str",":type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type","params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。","= params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\" def __init__(self): r\"\"\" :param Id: 联系人id。 :type",":type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type","int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int","DangerLevels: list of int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime =","事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline:","if params.get(\"InstanceConf\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\"InstanceConf\")) self.DeadlineTime = params.get(\"DeadlineTime\") self.IsSupported","int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list","self.RequestId = params.get(\"RequestId\") class CreateDBDiagReportUrlRequest(AbstractModel): \"\"\"CreateDBDiagReportUrl请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。","线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。","def _deserialize(self, params): self.LockTime = params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined","null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param","params.get(\"InstanceNames\") self.InstanceIds = params.get(\"InstanceIds\") self.Regions = params.get(\"Regions\") memeber_set = set(params.keys()) for name, value","str \"\"\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def _deserialize(self,","cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId = None self.StartTime = None self.EndTime","None self.RequestId = None def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks","SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None","None def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks = [] for","__init__(self): r\"\"\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。","RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax:","def __init__(self): r\"\"\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId:","DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求","Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \"\"\"","str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration =","= params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\") self.ProfileType = params.get(\"ProfileType\") self.Product = params.get(\"Product\") self.BindInstanceIds =","= None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg =","= params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","of int \"\"\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product","for item in params.get(\"TopSpaceTables\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId","None self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId = None","__init__(self): r\"\"\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql","= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Stage =",":type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail","Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info:","self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for","StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \"\"\"AddUserContact返回参数结构体 \"\"\" def __init__(self):","= params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") memeber_set = set(params.keys()) for name, value in vars(self).items():","params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count = params.get(\"Count\") self.ScoreLost = params.get(\"ScoreLost\") memeber_set = set(params.keys())","Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost:","params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","def __init__(self): r\"\"\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10","params.get(\"QueryTimeRatio\") self.LockTimeRatio = params.get(\"LockTimeRatio\") self.RowsExaminedRatio = params.get(\"RowsExaminedRatio\") self.RowsSentRatio = params.get(\"RowsSentRatio\") self.QueryTimeAvg = params.get(\"QueryTimeAvg\")","params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","ScoreDetails: list of ScoreDetail \"\"\" self.HealthScore = None self.HealthLevel = None self.ScoreLost =","= None def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText =","实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。","Count: 该来源地址的慢日志数目。 :type Count: int \"\"\" self.UserHost = None self.Ratio = None self.Count","self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self):","= None self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType =","QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin:",":type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None","self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name = params.get(\"Name\") self.MemberCount","= None self.Memory = None self.Volume = None self.EngineVersion = None self.Vip =","\"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例 ID 。 :type InstanceId: str","亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\"created\" - 新建；\"chosen\"","str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type","= None self.Offset = None self.SchemaList = None self.Product = None def _deserialize(self,","\"\"\" def __init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10","Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime:","params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime = params.get(\"LogEndTime\") self.TotalSize = params.get(\"TotalSize\")","not None: self.Series = [] for item in params.get(\"Series\"): obj = MonitorFloatMetric() obj._deserialize(item)",":type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","params.get(\"Regions\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class UserProfile(AbstractModel): \"\"\"用户配置的相关信息，包括邮件配置。 \"\"\"","int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`",":type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \"\"\" self.DiagItem = None","self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\") self.RowsSent = params.get(\"RowsSent\") self.RowsSentMax = params.get(\"RowsSentMax\") self.RowsSentMin","AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type","params.get(\"SecAuditGroupId\") self.AsyncRequestId = params.get(\"AsyncRequestId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value","for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId",":param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param","EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.DiagItem =","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体 \"\"\" def __init__(self):","Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of","str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str","str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def _deserialize(self,","\"\"\" def __init__(self): r\"\"\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。","len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\"","self.TotalCount = params.get(\"TotalCount\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name","12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds:","__init__(self): r\"\"\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type","self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in","fileds are useless.\" % \",\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","of str \"\"\" self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds","useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。",":type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type","str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。","of str :param Regions: 根据地域条件查询。 :type Regions: list of str \"\"\" self.IsSupported =","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set","# you may not use this file except in compliance with the License.",":type Schema: str \"\"\" self.InstanceId = None self.SqlText = None self.Schema = None","self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\") self.Metric = params.get(\"Metric\") self.Region","obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeHealthScoreRequest(AbstractModel): \"\"\"DescribeHealthScore请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","-*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights","self.Series = None self.Timestamp = None def _deserialize(self, params): if params.get(\"Series\") is not","for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set","self.LockTimeAvg = params.get(\"LockTimeAvg\") self.RowsExaminedAvg = params.get(\"RowsExaminedAvg\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for","None def _deserialize(self, params): self.Period = params.get(\"Period\") if params.get(\"TimeSeries\") is not None: self.TimeSeries","InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \"\"\" self.InstanceConfs = None self.Regions =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \"\"\"CreateDBDiagReportUrl返回参数结构体","def _deserialize(self, params): self.Advices = params.get(\"Advices\") self.Comments = params.get(\"Comments\") self.SqlText = params.get(\"SqlText\") self.Schema","\"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str","def _deserialize(self, params): self.Id = params.get(\"Id\") self.RequestId = params.get(\"RequestId\") class ContactItem(AbstractModel): \"\"\"联系人contact描述。 \"\"\"","self.Outline = params.get(\"Outline\") self.Problem = params.get(\"Problem\") self.Severity = params.get(\"Severity\") self.StartTime = params.get(\"StartTime\") self.Suggestions","params.get(\"SchemaList\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for","class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list","否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region:",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Contacts","not None: self.Series = [] for item in params.get(\"Series\"): obj = MonitorMetric() obj._deserialize(item)","= None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\"Id\") self.Name =","useless.\" % \",\".join(memeber_set)) class MonitorMetric(AbstractModel): \"\"\"监控数据 \"\"\" def __init__(self): r\"\"\" :param Metric: 指标名称。","= params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress = params.get(\"Progress\") self.LogStartTime = params.get(\"LogStartTime\") self.LogEndTime =","异常事件总数。 :type TotalCount: int \"\"\" self.IssueType = None self.Events = None self.TotalCount =","self.EngineVersion = None self.Vip = None self.Vport = None self.Source = None self.GroupId","str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel =","= None self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost =","\"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage:",":type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \"mysql\"","params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") if params.get(\"SeriesData\") is not None: self.SeriesData","_deserialize(self, params): if params.get(\"Events\") is not None: self.Events = [] for item in","str :param HealthLevels: 报告的健康等级，支持的取值包括：\"HEALTH\" - 健康；\"SUB_HEALTH\" - 亚健康；\"RISK\" - 危险；\"HIGH_RISK\" - 高危。 :type","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity = params.get(\"Severity\") self.ScoreLost =","RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None self.Items =","None def _deserialize(self, params): self.ReportUrl = params.get(\"ReportUrl\") self.ExpireTime = params.get(\"ExpireTime\") self.RequestId = params.get(\"RequestId\")","InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory:","def _deserialize(self, params): if params.get(\"Tasks\") is not None: self.Tasks = [] for item","SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\"","如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount =","License for the specific language governing permissions and # limitations under the License.","= params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.CreateTime = params.get(\"CreateTime\") self.Status = params.get(\"Status\") self.Progress =","= None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax =","not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\"SeriesData\")) memeber_set = set(params.keys()) for name, value in","fileds are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \"\"\"DescribeSlowLogUserHostStats返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \"\"\"KillMySqlThreads请求参数结构体 \"\"\" def __init__(self):","params.get(\"SecAuditStatus\") self.AuditPolicyStatus = params.get(\"AuditPolicyStatus\") self.AuditRunningStatus = params.get(\"AuditRunningStatus\") memeber_set = set(params.keys()) for name, value","self.SortBy = None self.StartDate = None self.EndDate = None self.Product = None def","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \"\"\"慢日志TopSql \"\"\" def __init__(self): r\"\"\"","self.StartTime = None self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId","params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit = params.get(\"Limit\") memeber_set = set(params.keys())","SqlExecId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB","class SlowLogHost(AbstractModel): \"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str","self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:","def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。","HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeDBSpaceStatusRequest(AbstractModel): \"\"\"DescribeDBSpaceStatus请求参数结构体 \"\"\" def __init__(self): r\"\"\"",":param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。","r\"\"\" :param EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type","SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TotalCount = None","None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\"LockTime\")","= None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported =","None: self.Items = [] for item in params.get(\"Items\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj)","self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions = None def","InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。","fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"InstanceId\") self.InstanceName = params.get(\"InstanceName\") self.Region = params.get(\"Region\") self.HealthScore = params.get(\"HealthScore\") self.Product = params.get(\"Product\")","None def _deserialize(self, params): self.RequestId = params.get(\"RequestId\") class DescribeAllUserContactRequest(AbstractModel): \"\"\"DescribeAllUserContact请求参数结构体 \"\"\" def __init__(self):","\"\"\" def __init__(self): r\"\"\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param","= None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\"Urls\") self.RequestId =","StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type","= TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\"Timestamp\") self.RequestId = params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体","class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param EventId: 事件 ID 。 :type","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \"\"\"DescribeDBDiagEvent返回参数结构体 \"\"\" def __init__(self):","\"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID:","not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj = HealthReportTask() obj._deserialize(item)","DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogExportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \"\"\"CreateMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\"","str \"\"\" self.ID = None self.User = None self.Host = None self.DB =","self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product","InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore:","= params.get(\"Schema\") self.Tables = params.get(\"Tables\") self.SqlPlan = params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId =","def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.RangeDays = params.get(\"RangeDays\") self.Product = params.get(\"Product\") memeber_set","= params.get(\"TotalCount\") if params.get(\"Tasks\") is not None: self.Tasks = [] for item in","= params.get(\"LockTime\") self.LockTimeMax = params.get(\"LockTimeMax\") self.LockTimeMin = params.get(\"LockTimeMin\") self.RowsExamined = params.get(\"RowsExamined\") self.RowsExaminedMax =","params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class","__init__(self): r\"\"\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime:","useless.\" % \",\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \"\"\"库空间时序数据 \"\"\" def __init__(self): r\"\"\" :param TableSchema: 库名",":param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list","self.ProfileList = None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if","self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\"ProfileList\") is not","% \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Growth: 磁盘增长量(MB)。 :type",":type Product: str \"\"\" self.InstanceId = None self.Limit = None self.SortBy = None","self.Groups = [] for item in params.get(\"Groups\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId","接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self):","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText:","def _deserialize(self, params): self.IssueType = params.get(\"IssueType\") if params.get(\"Events\") is not None: self.Events =","self.UserHost = None self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost","InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int","self.EventCount = params.get(\"EventCount\") self.InstanceType = params.get(\"InstanceType\") self.Cpu = params.get(\"Cpu\") self.Memory = params.get(\"Memory\") self.Volume","总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数","params.get(\"Tasks\") is not None: self.Tasks = [] for item in params.get(\"Tasks\"): obj =","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \"\"\"DescribeDBSpaceStatus返回参数结构体","Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem:","= params.get(\"DangerLevels\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","= params.get(\"Offset\") self.Limit = params.get(\"Limit\") self.ProfileName = params.get(\"ProfileName\") memeber_set = set(params.keys()) for name,","\"\"\" self.EventId = None self.DiagType = None self.StartTime = None self.EndTime = None","\"HIGH_RISK\"。 :type HealthLevel: str \"\"\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore =","\"\"\" def __init__(self): r\"\"\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。","None self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\"ProfileInfo\") is","MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认值为\"mysql\"。 :type Product: str \"\"\" self.InstanceId =","MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \"\"\" def __init__(self): r\"\"\"","Product: str \"\"\" self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate","None: self.Tasks = [] for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj)","中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \"\"\" self.AsyncRequestId =","for item in params.get(\"ScoreDetails\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for","RequestId。 :type RequestId: str \"\"\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self,","= params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items():","str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str","are useless.\" % \",\".join(memeber_set)) class InstanceInfo(AbstractModel): \"\"\"查询实例列表，返回实例的相关信息的对象。 \"\"\" def __init__(self): r\"\"\" :param InstanceId:","= SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemasRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemas请求参数结构体 \"\"\" def __init__(self):","RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes:",":param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。","- 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int","params): self.Count = params.get(\"Count\") self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value","float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float","配置类型，支持值包括：\"dbScan_mail_configuration\" - 数据库巡检邮件配置，\"scheduler_mail_configuration\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","are useless.\" % \",\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \"\"\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Urls:","Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan:","Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset:","ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData","are useless.\" % \",\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \"\"\"DescribeSlowLogTopSqls返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount:",":param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\"HEALTH\", \"SUB_HEALTH\", \"RISK\", \"HIGH_RISK\"。","\"\"\"安全审计日志导出任务信息 \"\"\" def __init__(self): r\"\"\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime:","= params.get(\"SqlText\") self.Schema = params.get(\"Schema\") memeber_set = set(params.keys()) for name, value in vars(self).items():",":type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type","params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Product = params.get(\"Product\") self.DangerLevels = params.get(\"DangerLevels\") memeber_set = set(params.keys())",":param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str :param","obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param","\"\"\" self.ProcessList = None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is","RequestId: str \"\"\" self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId","定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\"User\" - 用户级别，\"Instance\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。","DescribeMySqlProcessListRequest(AbstractModel): \"\"\"DescribeMySqlProcessList请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param","self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") if params.get(\"InstanceInfo\") is not None: self.InstanceInfo =",":type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\"",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.TopSpaceSchemas = None self.Timestamp","监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class ScoreDetail(AbstractModel): \"\"\"扣分详情。","self.Data._deserialize(params.get(\"Data\")) self.RequestId = params.get(\"RequestId\") class DescribeMailProfileRequest(AbstractModel): \"\"\"DescribeMailProfile请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param ProfileType:","DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus:","= params.get(\"RequestId\") class DescribeUserSqlAdviceRequest(AbstractModel): \"\"\"DescribeUserSqlAdvice请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","Id: int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount:","= params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name, value in vars(self).items():","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel):","[] for item in params.get(\"ProfileList\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\"TotalCount\")","self.Name = None self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name","SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str :param Tables:","TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items:","InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region:","= params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items():","__init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","= None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\"WeekConfiguration\") if params.get(\"ProfileInfo\")","useless.\" % \",\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \"\"\"DescribeUserSqlAdvice返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。","None self.Outline = None self.Severity = None self.ScoreLost = None self.Metric = None","str :param Mail: 联系人绑定的邮箱。 :type Mail: str \"\"\" self.Id = None self.Name =","= params.get(\"RequestId\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \"\"\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema",":param Source: 任务的触发来源，支持的取值包括：\"DAILY_INSPECTION\" - 实例巡检；\"SCHEDULED\" - 定时生成；\"MANUAL\" - 手动触发。 :type Source: str :param","Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId:","12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product:","str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1","useless.\" % \",\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \"\"\"DescribeDBDiagHistory返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Events: 事件描述。","0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \"\"\"库表空间时序数据 \"\"\" def __init__(self):","注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str","SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId = params.get(\"RequestId\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \"\"\"DescribeSlowLogTimeSeriesStats请求参数结构体 \"\"\"","Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" - 云数据库",":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \"\"\" self.Advices = None self.Comments","None: self.Contacts = [] for item in params.get(\"Contacts\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj)","= None self.Metric = None self.Count = None def _deserialize(self, params): self.EventId =",":param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param","SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus:","self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name = params.get(\"Name\") self.ContactInfo",":param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库 MySQL；\"cynosdb\" -","None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\")",":type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\")","for item in params.get(\"Items\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for",":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region:",":param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param",":param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str","self.Series.append(obj) self.Timestamp = params.get(\"Timestamp\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\"Prepare\"-准备阶段，\"Commit\"-提交阶段。 :type Stage: str :param Threads:",":param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param","= params.get(\"EndTime\") self.Product = params.get(\"Product\") self.Md5 = params.get(\"Md5\") memeber_set = set(params.keys()) for name,","= params.get(\"ContactPerson\") self.ContactGroup = params.get(\"ContactGroup\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name,","self.Memory = params.get(\"Memory\") self.Volume = params.get(\"Volume\") self.EngineVersion = params.get(\"EngineVersion\") self.Vip = params.get(\"Vip\") self.Vport","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。","if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \"\"\"安全审计日志导出任务信息","params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Product = params.get(\"Product\") memeber_set = set(params.keys())","memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel):","% \",\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \"\"\"实例基础信息。 \"\"\" def __init__(self): r\"\"\" :param InstanceId: 实例ID。 :type","\"\"\"慢日志来源地址详情。 \"\"\" def __init__(self): r\"\"\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio:","\"\"\"DescribeHealthScore返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId:",":type SqlText: str :param Schema: 库名。 :type Schema: str \"\"\" self.InstanceId = None","= None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName =","Reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","= None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate =","def _deserialize(self, params): self.DiagItem = params.get(\"DiagItem\") self.IssueType = params.get(\"IssueType\") self.TopSeverity = params.get(\"TopSeverity\") self.Count",":type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type","= params.get(\"TableSchema\") self.Engine = params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree =",":param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str :param","[] for item in params.get(\"Items\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\"RequestId\")","__init__(self): r\"\"\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime:",":type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type",":param Schema: 数据库名称 :type Schema: str \"\"\" self.Schema = None def _deserialize(self, params):","__init__(self): r\"\"\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost:","fileds are useless.\" % \",\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \"\"\"CreateDBDiagReportTask返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","= None def _deserialize(self, params): if params.get(\"ProcessList\") is not None: self.ProcessList = []","Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total:","params): if params.get(\"ProcessList\") is not None: self.ProcessList = [] for item in params.get(\"ProcessList\"):","self.StartTime = params.get(\"StartTime\") self.EventId = params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem","None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\"InstanceId\") self.Limit = params.get(\"Limit\")","params.get(\"User\") self.Host = params.get(\"Host\") self.DB = params.get(\"DB\") self.State = params.get(\"State\") self.Command = params.get(\"Command\")","self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileName = params.get(\"ProfileName\") self.BindInstanceId = params.get(\"BindInstanceId\") self.Product = params.get(\"Product\")","self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product = params.get(\"Product\") self.AsyncRequestIds = params.get(\"AsyncRequestIds\") self.Offset = params.get(\"Offset\") self.Limit",":type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type","InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\"All\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \"mysql\" -","诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。","\"\"\" self.TotalCount = None self.Tasks = None self.RequestId = None def _deserialize(self, params):","StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined","str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\"mysql\" - 云数据库","params.get(\"RowsExaminedMax\") self.RowsExaminedMin = params.get(\"RowsExaminedMin\") self.QueryTime = params.get(\"QueryTime\") self.QueryTimeMax = params.get(\"QueryTimeMax\") self.QueryTimeMin = params.get(\"QueryTimeMin\")","def __init__(self): r\"\"\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId:","SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param","None def _deserialize(self, params): self.HealthScore = params.get(\"HealthScore\") self.HealthLevel = params.get(\"HealthLevel\") self.ScoreLost = params.get(\"ScoreLost\")","self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product = None def","InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type","= params.get(\"Engine\") self.DataLength = params.get(\"DataLength\") self.IndexLength = params.get(\"IndexLength\") self.DataFree = params.get(\"DataFree\") self.TotalLength =","% \",\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \"\"\"CreateSchedulerMailProfile返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的","params.get(\"InstanceId\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.SendMailFlag = params.get(\"SendMailFlag\") self.ContactPerson = params.get(\"ContactPerson\")",":param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param","诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件","are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \"\"\"DescribeTopSpaceTables返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TopSpaceTables:","self.Limit = None self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId","= params.get(\"ContactGroup\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in","邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。","\",\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \"\"\"DescribeDBDiagReportTasks返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param TotalCount: 任务总数目。 :type TotalCount:","- 云数据库 MySQL， \"cynosdb\" - 云数据库 CynosDB for MySQL，默认为\"mysql\"。 :type Product: str \"\"\"","params): self.EventId = params.get(\"EventId\") self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\")","self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\"SecAuditGroupId\") self.Product","for item in params.get(\"Tasks\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\"TotalCount\") self.RequestId","null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求","- 云数据库 TDSQL-C for MySQL，默认为\"mysql\"。 :type Product: str \"\"\" self.WeekConfiguration = None self.ProfileInfo","if params.get(\"ProcessList\") is not None: self.ProcessList = [] for item in params.get(\"ProcessList\"): obj",":type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \"\"\" self.Count = None","语言, 如\"zh\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language","HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。","地域配置, 如[\"ap-guangzhou\", \"ap-shanghai\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\"HEALTH\", \"SUB_HEALTH\",","None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\"InstanceConfs\")) self.Regions = params.get(\"Regions\") self.Product = params.get(\"Product\") self.InstanceIds =","useless.\" % \",\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \"\"\"单位时间间隔内的监控指标数据（浮点型） \"\"\" def __init__(self): r\"\"\" :param Series: 监控指标。","= params.get(\"SqlPlan\") self.Cost = params.get(\"Cost\") self.RequestId = params.get(\"RequestId\") class DiagHistoryEventItem(AbstractModel): \"\"\"实例诊断历史事件 \"\"\" def","params): self.AsyncRequestId = params.get(\"AsyncRequestId\") self.RequestId = params.get(\"RequestId\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \"\"\"DeleteSecurityAuditLogExportTasks请求参数结构体 \"\"\" def __init__(self):",":type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \"mysql\" - 云数据库 MySQL， \"cynosdb\" - 云数据库","params.get(\"Id\") self.Name = params.get(\"Name\") self.Mail = params.get(\"Mail\") memeber_set = set(params.keys()) for name, value","__init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names:","None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\"InstanceInfo\")) if params.get(\"HealthStatus\") is not None: self.HealthStatus = HealthStatus()","欠费暂停。 :type AuditRunningStatus: str \"\"\" self.InstanceId = None self.InstanceName = None self.Region =","Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list","params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId = params.get(\"UniqSubnetId\") self.DeployMode = params.get(\"DeployMode\")","None def _deserialize(self, params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\")",":type EngineVersion: str \"\"\" self.InstanceId = None self.InstanceName = None self.Vip = None","self.Source = params.get(\"Source\") self.GroupId = params.get(\"GroupId\") self.GroupName = params.get(\"GroupName\") self.Status = params.get(\"Status\") self.UniqSubnetId","> 0: warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def","服务产品类型，支持值： \"mysql\" - 云数据库 MySQL。 :type Product: str \"\"\" self.SecAuditGroupId = None self.AsyncRequestIds","结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID","MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \"\"\" self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class MySqlProcess(AbstractModel): \"\"\"关系型数据库线程 \"\"\" def __init__(self): r\"\"\"",":param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param","str \"\"\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId =","warnings.warn(\"%s fileds are useless.\" % \",\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \"\"\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \"\"\" def __init__(self): r\"\"\"","self.DiagType = params.get(\"DiagType\") self.StartTime = params.get(\"StartTime\") self.EndTime = params.get(\"EndTime\") self.Outline = params.get(\"Outline\") self.Severity","= params.get(\"Remain\") self.Total = params.get(\"Total\") self.AvailableDays = params.get(\"AvailableDays\") self.RequestId = params.get(\"RequestId\") class DescribeDiagDBInstancesRequest(AbstractModel):","\"\"\"DescribeAllUserGroup请求参数结构体 \"\"\" def __init__(self): r\"\"\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names:","fileds are useless.\" % \",\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \"\"\"DescribeAllUserContact返回参数结构体 \"\"\" def __init__(self): r\"\"\" :param","fileds are useless.\" % \",\".join(memeber_set)) class EventInfo(AbstractModel): \"\"\"异常事件信息。 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"EventId\") self.Severity = params.get(\"Severity\") self.Outline = params.get(\"Outline\") self.DiagItem = params.get(\"DiagItem\") self.InstanceId = params.get(\"InstanceId\")","self.ProcessList = None self.RequestId = None def _deserialize(self, params): if params.get(\"ProcessList\") is not","item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\") memeber_set =","fileds are useless.\" % \",\".join(memeber_set)) class ProfileInfo(AbstractModel): \"\"\"用户配置的信息 \"\"\" def __init__(self): r\"\"\" :param","params.get(\"Metric\") self.Count = params.get(\"Count\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if","= None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\"DailyInspection\") self.OverviewDisplay =","self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\"TableSchema\") if params.get(\"SeriesData\") is not","InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \"mysql\"","params): self.ProfileId = params.get(\"ProfileId\") self.ProfileType = params.get(\"ProfileType\") self.ProfileLevel = params.get(\"ProfileLevel\") self.ProfileName = params.get(\"ProfileName\")","实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。","None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\"TableName\") self.TableSchema = params.get(\"TableSchema\")","def _deserialize(self, params): if params.get(\"ProfileInfo\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\"ProfileInfo\")) self.ProfileLevel","[] for item in params.get(\"Events\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\"TotalCount\")","self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product","= params.get(\"BindInstanceId\") self.Product = params.get(\"Product\") memeber_set = set(params.keys()) for name, value in vars(self).items():","偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \"\"\" self.SecAuditGroupId ="],"string":"[\n \":type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param\",\n \"self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total\",\n \"None self.EventId = None self.Explanation = None self.Outline = None self.Problem = None\",\n \"EndTime: str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:\",\n \":type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product\",\n \"None self.Command = None self.Time = None self.Info = None def _deserialize(self, params):\",\n \"list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。\",\n \"self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion\",\n \"str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def _deserialize(self,\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\")\",\n \"self.Offset = None self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set)\",\n \"实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip =\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求\",\n \"class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list\",\n \"总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count =\",\n \"= params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set =\",\n \":param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel):\",\n \":param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param\",\n \"self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio\",\n \"def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId:\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = [] for item\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\")\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = [] for item\",\n \"= params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product =\",\n \"self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys())\",\n \"= None self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \"ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self):\",\n \"obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"% \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID\",\n \"Vip: str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source:\",\n \"float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float\",\n \"self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId\",\n \"Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info:\",\n \":type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime = None\",\n \"self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type\",\n \":param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param\",\n \":param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None\",\n \"StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline:\",\n \"云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime =\",\n \":param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param\",\n \":param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param\",\n \":param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"None self.Offset = None self.Limit = None self.ProfileName = None def _deserialize(self, params):\",\n \"int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus:\",\n \"int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int\",\n \"Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。\",\n \"of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType\",\n \"in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体\",\n \"of str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset = None self.Limit\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。\",\n \"HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type\",\n \"str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost:\",\n \"None self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree = None\",\n \"params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\")\",\n \":type User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type\",\n \"self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for\",\n \"SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema =\",\n \"list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\"\",\n \"Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name\",\n \"TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type\",\n \"params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None\",\n \"\\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。\",\n \"= params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value\",\n \":param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount:\",\n \"not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item)\",\n \":type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId:\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys())\",\n \"= [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\")\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None:\",\n \"= None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax =\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。\",\n \"is not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem()\",\n \"of int \\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self, params): if\",\n \":type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups\",\n \"Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType\",\n \"ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`\",\n \"= None self.SqlPlan = None self.Cost = None self.RequestId = None def _deserialize(self,\",\n \"= None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\")\",\n \"EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str\",\n \":type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None\",\n \"params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\"\",\n \"str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\")\",\n \"= params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\"\",\n \"MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None\",\n \"利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for\",\n \"self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset\",\n \"-*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent\",\n \"任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。\",\n \"self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax\",\n \"None self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion = None\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative\",\n \"= None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = []\",\n \"= None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set =\",\n \"SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。\",\n \"[] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set\",\n \"= params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity =\",\n \"MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.InstanceId = None self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"= None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values =\",\n \"诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。\",\n \"self.InstanceId = None self.Limit = None self.SortBy = None self.Product = None def\",\n \"str \\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self, params): self.Id =\",\n \"= HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。\",\n \"None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\"))\",\n \":param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime =\",\n \"__init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio:\",\n \"self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def\",\n \":param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括：\",\n \":type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks\",\n \"r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel):\",\n \"_deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = []\",\n \"\\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema:\",\n \"None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\")\",\n \"AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。\",\n \"= params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus =\",\n \":param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel\",\n \"self.Total = None self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth\",\n \":param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name = None\",\n \"obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId =\",\n \"= params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows:\",\n \"Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\"\",\n \"r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type\",\n \"= None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product =\",\n \"ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。\",\n \"数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection\",\n \":type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type\",\n \"int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回\",\n \"TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg:\",\n \"params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value\",\n \"Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices:\",\n \"\\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体\",\n \":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None\",\n \":type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress = None\",\n \"= params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set =\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None\",\n \"ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" -\",\n \"\\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy = None\",\n \"Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \":type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type\",\n \":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。\",\n \"\\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int\",\n \"Info: str \\\"\\\"\\\" self.ID = None self.User = None self.Host = None self.DB\",\n \"DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param\",\n \"class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`\",\n \"RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg:\",\n \":type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId:\",\n \"self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName\",\n \"TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None\",\n \":param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId =\",\n \"[] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \":param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\"\",\n \"= None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime =\",\n \"= None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine =\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport =\",\n \"def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type\",\n \":param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param\",\n \"self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax\",\n \"in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\")\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item in\",\n \":type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product:\",\n \"for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set\",\n \"def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param\",\n \"self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State\",\n \"DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:\",\n \"__init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。\",\n \":type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"list of float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values = None\",\n \":param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration`\",\n \"= None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg =\",\n \"= None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId =\",\n \"\\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain:\",\n \":type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product =\",\n \":type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList\",\n \"self.Product = None self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。\",\n \"float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float\",\n \":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params):\",\n \":type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id\",\n \":type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText = None\",\n \"params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \":type Id: int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type\",\n \"ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel:\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" -\",\n \"TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求\",\n \"self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \":type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type\",\n \"None self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime = None\",\n \"EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport\",\n \"_deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def\",\n \"ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items:\",\n \":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11\",\n \"Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema\",\n \"TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength:\",\n \":param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\"\",\n \"服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product =\",\n \"采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \":param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param\",\n \":type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product:\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product =\",\n \"= params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio =\",\n \"云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product\",\n \"= params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name,\",\n \"str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection =\",\n \"self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if\",\n \"self.Schema = None self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId\",\n \"class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product:\",\n \"用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def\",\n \"params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"):\",\n \":param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime:\",\n \"HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress\",\n \"RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self, params): self.Id\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = []\",\n \"of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \"self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId\",\n \":type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection:\",\n \"= None self.Remain = None self.Total = None self.AvailableDays = None self.RequestId =\",\n \"self.Explanation = None self.Outline = None self.Problem = None self.Severity = None self.StartTime\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\"\",\n \"Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = []\",\n \"StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param\",\n \":type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type\",\n \"list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type\",\n \"TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList =\",\n \"memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class\",\n \"r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type\",\n \"返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds =\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item in\",\n \"MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount = None def\",\n \"库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads:\",\n \"class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int\",\n \"ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel:\",\n \"\\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime:\",\n \"Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion:\",\n \"of int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson\",\n \"Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus:\",\n \"01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"\\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def _deserialize(self, params):\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId\",\n \"is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value\",\n \"str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type\",\n \"\\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit:\",\n \"= None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product =\",\n \"PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree\",\n \"self.State = None self.Command = None self.Time = None self.Info = None def\",\n \"执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def\",\n \"返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"= None self.StartTime = None self.EventId = None self.Severity = None self.Outline =\",\n \"str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。\",\n \"执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机）\",\n \"= params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def\",\n \"异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None:\",\n \"Names: list of str \\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self,\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self,\",\n \"params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value\",\n \":type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \":param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param\",\n \"params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type\",\n \"Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables =\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\")\",\n \"None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data:\",\n \":type Mail: str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail = None\",\n \"EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\"\",\n \"\\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime = None\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList\",\n \"Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"None self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\")\",\n \"None self.Info = None self.Limit = None self.Product = None def _deserialize(self, params):\",\n \"THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under\",\n \"\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None\",\n \"None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\")\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None\",\n \"None self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost = None\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel):\",\n \":type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type\",\n \"params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf\",\n \"是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param\",\n \"= None self.SortBy = None self.StartDate = None self.EndDate = None self.Product =\",\n \":type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。\",\n \"GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status:\",\n \":type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\"\",\n \"= None self.TopSeverity = None self.Count = None self.ScoreLost = None def _deserialize(self,\",\n \"self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if\",\n \"- 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime:\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None self.Product = None\",\n \"= params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion =\",\n \"memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name)\",\n \"def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo:\",\n \"params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"\\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices:\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp:\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\")\",\n \"self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。\",\n \"self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not\",\n \"Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel):\",\n \"class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain =\",\n \"MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"\\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None self.DataLength = None\",\n \"Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count\",\n \"self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if\",\n \":param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param\",\n \"r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin\",\n \"\\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None\",\n \"str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId = None def _deserialize(self,\",\n \"None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params):\",\n \"params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value\",\n \"日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId =\",\n \"RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText = None self.Schema\",\n \"self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize\",\n \":param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。\",\n \"self.InstanceNames = None self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported\",\n \"- 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:\",\n \"= params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" -\",\n \"InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product:\",\n \"self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None:\",\n \"int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId:\",\n \"self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \":param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param\",\n \"= None self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime =\",\n \"高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None\",\n \"None self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys())\",\n \"self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if\",\n \"= None self.Product = None self.EventCount = None self.InstanceType = None self.Cpu =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel):\",\n \"UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime:\",\n \"\\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus:\",\n \"DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId =\",\n \"class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求\",\n \":type Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type\",\n \"SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\"\",\n \":param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param\",\n \"params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type SqlText: str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type\",\n \"= params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus =\",\n \"if params.get(\\\"Events\\\") is not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj\",\n \"\\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources = None\",\n \"= None self.StartTime = None self.EndTime = None self.CreateTime = None self.Status =\",\n \"DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of\",\n \"None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None\",\n \"- 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None\",\n \"self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList =\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None\",\n \"= params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin =\",\n \"\\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema:\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel):\",\n \"self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys())\",\n \"Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count = None def\",\n \"None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj)\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product = None\",\n \"实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"\\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds:\",\n \":type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float\",\n \"扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of\",\n \":type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas:\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels\",\n \"碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。\",\n \"self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item\",\n \"Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime = None self.Status\",\n \":type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\"\",\n \"_deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set =\",\n \"obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def\",\n \"None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\")\",\n \":param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions:\",\n \"self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\"\",\n \"of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product:\",\n \":type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int\",\n \"= params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg =\",\n \"obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name,\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is\",\n \"= params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg =\",\n \"None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product = None\",\n \"= params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"= None self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson =\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore =\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId =\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\")\",\n \"self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId = None def\",\n \"self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText\",\n \":param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param\",\n \"obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name,\",\n \"AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit:\",\n \"self.Unit = None self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit\",\n \"params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None def _deserialize(self, params):\",\n \"= None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax =\",\n \"采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\")\",\n \"self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit\",\n \"库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema =\",\n \"= None self.Time = None self.Info = None self.Limit = None self.Product =\",\n \"MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \":type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str\",\n \"params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\")\",\n \"class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str\",\n \"self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param\",\n \"None self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses = None\",\n \"健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" -\",\n \"TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type\",\n \"= params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus =\",\n \"def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId\",\n \"[] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\")\",\n \"DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity:\",\n \"Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId\",\n \"class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str\",\n \"self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag\",\n \"self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"\\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self):\",\n \"str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str\",\n \"ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count\",\n \"SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"\\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId = None\",\n \":type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type\",\n \"MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate:\",\n \"tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。\",\n \"= params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem =\",\n \"= None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self,\",\n \"self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName\",\n \"params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys())\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is\",\n \":type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of\",\n \":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \":type CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type\",\n \"= SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体\",\n \"= params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None:\",\n \":type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。\",\n \"params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。\",\n \":type Host: str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries:\",\n \"SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema:\",\n \":type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None\",\n \":param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param\",\n \"Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume:\",\n \"- 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"None: self.Events = [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj)\",\n \":type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl\",\n \"线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。\",\n \"if params.get(\\\"Groups\\\") is not None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj\",\n \":type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type\",\n \"params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\")\",\n \"None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None\",\n \"params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in\",\n \"self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit:\",\n \"AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset:\",\n \":param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None self.Names\",\n \"None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\")\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo =\",\n \"item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel):\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set =\",\n \"self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel):\",\n \"- 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails:\",\n \"平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒\",\n \"int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail =\",\n \"not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime:\",\n \"of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId =\",\n \"StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus\",\n \"Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\",\",\n \"EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def _deserialize(self,\",\n \"Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User = None self.Host\",\n \"= InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def\",\n \"- 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\"\",\n \"= None self.Metric = None self.EndTime = None self.RequestId = None def _deserialize(self,\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId = None def\",\n \"数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\"\",\n \":param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param\",\n \"params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region =\",\n \"- 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回\",\n \"self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio\",\n \"params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj =\",\n \"self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore\",\n \"TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema =\",\n \"取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param\",\n \"RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total = None self.AvailableDays\",\n \":type Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type\",\n \"服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product:\",\n \"self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5\",\n \"LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin:\",\n \"分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。\",\n \"任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime =\",\n \"class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str\",\n \"= None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \":type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem\",\n \"单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData:\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list\",\n \"params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\")\",\n \":param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount:\",\n \"= params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \"for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree:\",\n \"params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList\",\n \"数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel):\",\n \"item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel):\",\n \"params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks =\",\n \"is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value\",\n \":type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId = None\",\n \"def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item\",\n \"Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\"\",\n \"事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param\",\n \"配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None\",\n \":type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem\",\n \"class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list\",\n \"in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData\",\n \"params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\")\",\n \"self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value\",\n \"null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None\",\n \"= None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime =\",\n \"__init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength:\",\n \"总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"\\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name:\",\n \"self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline\",\n \"def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。\",\n \"[] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\")\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type\",\n \"Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema\",\n \":type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type\",\n \"SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema:\",\n \"str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int\",\n \"DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo\",\n \"self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" -\",\n \"= None self.Name = None self.Mail = None def _deserialize(self, params): self.Id =\",\n \"Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name\",\n \"None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None\",\n \"= None self.Vport = None self.Source = None self.GroupId = None self.GroupName =\",\n \"Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName:\",\n \"params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"= None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes =\",\n \"params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \":type SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type\",\n \"云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage =\",\n \"self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def\",\n \"str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset = None self.Limit =\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo =\",\n \":type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type\",\n \"硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel):\",\n \":type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus:\",\n \"str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str\",\n \"str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。\",\n \"None: self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj)\",\n \"params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"= params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name,\",\n \"def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\")\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId =\",\n \"def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData =\",\n \"self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName\",\n \"ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime:\",\n \"str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"self.Regions = None self.Product = None self.InstanceIds = None def _deserialize(self, params): if\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def\",\n \"def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if\",\n \"params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id:\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime\",\n \"添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self):\",\n \"MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param\",\n \"= None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText =\",\n \"params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item\",\n \"self.EndTime = None self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param\",\n \"% \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type\",\n \"\\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type\",\n \"健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj)\",\n \"总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。\",\n \"self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId\",\n \"None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is\",\n \"item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId =\",\n \"null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema = None def _deserialize(self,\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId = None\",\n \"None self.Command = None self.Time = None self.Info = None self.Limit = None\",\n \"= None self.ID = None self.User = None self.Host = None self.DB =\",\n \"Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\"\",\n \"RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax:\",\n \"params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\"))\",\n \"慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params):\",\n \"params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj =\",\n \"params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName =\",\n \"self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin\",\n \"None self.Region = None self.HealthScore = None self.Product = None self.EventCount = None\",\n \"开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。\",\n \"= [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId =\",\n \"self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel\",\n \"params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel\",\n \"TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount = None def\",\n \":type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type\",\n \"params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\")\",\n \":type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int\",\n \"资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON：\",\n \"None self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\")\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength\",\n \"class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int\",\n \"。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param\",\n \"线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。\",\n \"self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"None self.SortBy = None self.StartDate = None self.EndDate = None self.Product = None\",\n \"int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for\",\n \"params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name,\",\n \"- 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体\",\n \"paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product = None\",\n \"= None self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth =\",\n \"self.EventId = None self.Explanation = None self.Outline = None self.Problem = None self.Severity\",\n \"params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\")\",\n \"None self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode = None\",\n \"= None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region =\",\n \"self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None\",\n \"组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str :param\",\n \"实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\"\",\n \"params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel):\",\n \"= None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg =\",\n \"State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time:\",\n \"= None self.DbScanStatus = None self.Items = None self.RequestId = None def _deserialize(self,\",\n \"None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj)\",\n \"float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"= params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name,\",\n \":param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。\",\n \"DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of\",\n \"= [] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount =\",\n \"如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。\",\n \"r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int\",\n \"for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体\",\n \"r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo:\",\n \"None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None\",\n \"联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id =\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress =\",\n \"None self.State = None self.Command = None self.Time = None self.Info = None\",\n \"self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree\",\n \"Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration\",\n \"MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\"\",\n \"RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList =\",\n \"= params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item in\",\n \"= None self.Limit = None self.SortBy = None self.StartDate = None self.EndDate =\",\n \"None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None\",\n \"None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str\",\n \"list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type\",\n \"IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax:\",\n \"任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。\",\n \"self.Offset = None self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"if params.get(\\\"Series\\\") is not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj\",\n \":param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。\",\n \"实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str\",\n \"str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId =\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes:\",\n \":type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str\",\n \"Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str\",\n \":param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param\",\n \":param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" -\",\n \"self.Threads = None self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total\",\n \"None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\"))\",\n \":param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param\",\n \"Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan:\",\n \"None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"\\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\")\",\n \"bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \"self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set\",\n \"StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric:\",\n \":type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type\",\n \"= params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set =\",\n \"= None self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def\",\n \"None self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio = None\",\n \"sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名\",\n \"= params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str\",\n \"- 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit = None self.Product\",\n \"None self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"= params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self, params): if\",\n \":param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp:\",\n \"self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set\",\n \"None self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy = None\",\n \":param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None\",\n \"= None self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息\",\n \"r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int\",\n \"int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str\",\n \"in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体\",\n \"None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"= None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def _deserialize(self,\",\n \":type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self, params):\",\n \"表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine =\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type\",\n \"Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion:\",\n \"TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:\",\n \"None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem:\",\n \":type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"= params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = []\",\n \"params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \":type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"__init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp:\",\n \"params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \":param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None self.Names\",\n \":type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region = None\",\n \"int \\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\")\",\n \"% \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。\",\n \"params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\")\",\n \"str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime:\",\n \"None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId\",\n \"IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。\",\n \"= params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product =\",\n \"DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param\",\n \"Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product =\",\n \"__init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId:\",\n \"Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位%\",\n \":type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type\",\n \"if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for\",\n \"SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"= None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax =\",\n \"float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int\",\n \"self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\"\",\n \"= params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product =\",\n \"任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。\",\n \"。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime:\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\")\",\n \"\\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset = None self.Limit = None\",\n \"str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay =\",\n \"= params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set =\",\n \"None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events = [] for\",\n \"self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.StartTime = None self.EndTime = None self.Product = None self.Md5 = None def\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。\",\n \"None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None\",\n \"= params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list\",\n \"__init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"= params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name,\",\n \"self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength\",\n \"LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined:\",\n \"云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值\",\n \"SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info:\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type\",\n \":param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param\",\n \"class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel:\",\n \"= None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo()\",\n \"r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str\",\n \"行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName =\",\n \"sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" -\",\n \"coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company.\",\n \"class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \":param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\"\",\n \"内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。\",\n \":type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type\",\n \"用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName:\",\n \"self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体\",\n \"= params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product\",\n \"UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\"\",\n \"list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \"self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not\",\n \"int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount = None def _deserialize(self,\",\n \"params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"):\",\n \"str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int\",\n \"self.ID = None self.User = None self.Host = None self.DB = None self.State\",\n \"params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\"\",\n \"params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param\",\n \"Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp\",\n \":type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime:\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo()\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None\",\n \"params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"):\",\n \"RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg:\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\"\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\")\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel):\",\n \"_deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。\",\n \"平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\"\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\")\",\n \"int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel):\",\n \"params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\")\",\n \"= params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0,\",\n \"_deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo()\",\n \"self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType\",\n \"params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param\",\n \"None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\")\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not\",\n \":type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID\",\n \"self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus\",\n \":type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self, params): if\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self):\",\n \"null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"self.ProfileType = None self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if\",\n \"params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is\",\n \"self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel):\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if\",\n \":type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self, params):\",\n \"Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product:\",\n \"偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param\",\n \"in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体\",\n \"str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None\",\n \"params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\")\",\n \":type Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp = None def\",\n \"= params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions =\",\n \"None self.SortBy = None self.OrderBy = None self.Limit = None self.Offset = None\",\n \"None self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\")\",\n \"异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param\",\n \"None self.Vport = None self.Source = None self.GroupId = None self.GroupName = None\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。\",\n \"self.Metric = None self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem\",\n \"= params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory =\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items =\",\n \"= None self.DiagType = None self.EventId = None self.Explanation = None self.Outline =\",\n \"返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param\",\n \"self.Product = None self.Offset = None self.Limit = None self.ProfileName = None def\",\n \"InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param\",\n \"\\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID\",\n \"InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip:\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel):\",\n \"r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime = None\",\n \"\\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name:\",\n \"params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= None self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \":param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param\",\n \"the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求\",\n \"ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param\",\n \"self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId\",\n \"None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\")\",\n \"LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5:\",\n \"任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId =\",\n \"预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"is not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric()\",\n \"\\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime:\",\n \":param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param\",\n \":param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str :param\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time\",\n \":param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str\",\n \"self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int\",\n \"异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级,\",\n \"for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str\",\n \":type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel):\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None\",\n \"class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1,\",\n \"not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item)\",\n \"= params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set =\",\n \"Host: str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State:\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\")\",\n \"self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType\",\n \"= params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item in\",\n \"StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine\",\n \"云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list\",\n \"Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime:\",\n \":type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self, params):\",\n \":type Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type\",\n \"str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"= None self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType =\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product =\",\n \"None self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\")\",\n \":param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None\",\n \"params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"__init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events:\",\n \"\\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type\",\n \"HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime\",\n \"params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name,\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type\",\n \"新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str\",\n \"ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None\",\n \"= None self.Limit = None self.SortBy = None self.Product = None def _deserialize(self,\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"% \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type\",\n \"None self.Unit = None self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\")\",\n \":type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type\",\n \"int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel):\",\n \"def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\")\",\n \"Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain\",\n \"扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity =\",\n \"self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId\",\n \"任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。\",\n \"SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit:\",\n \"分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId:\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item)\",\n \"str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str\",\n \"。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param\",\n \"最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数\",\n \"int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param\",\n \":param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param\",\n \"r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list\",\n \"self.Growth = None self.Remain = None self.Total = None self.AvailableDays = None self.RequestId\",\n \"Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product =\",\n \"self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount\",\n \"str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float\",\n \"None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。\",\n \"of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求\",\n \"= params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables =\",\n \"CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None\",\n \"DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product\",\n \"params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name,\",\n \"class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"= None self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels =\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.EndTime = None self.StartTime = None self.EventId = None self.Severity =\",\n \"None self.InstanceNames = None self.InstanceIds = None self.Regions = None def _deserialize(self, params):\",\n \"params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\")\",\n \"None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj)\",\n \"params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType:\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables:\",\n \"Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds\",\n \"RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId = None def\",\n \"of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \"self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int\",\n \"str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int\",\n \"HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type\",\n \":type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type\",\n \"if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj\",\n \"= None self.Volume = None self.EngineVersion = None self.Vip = None self.Vport =\",\n \"float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int\",\n \"self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg\",\n \":type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self, params):\",\n \"params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括：\",\n \":param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param\",\n \":type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param\",\n \"SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id:\",\n \"Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str\",\n \"of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId:\",\n \"not None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item)\",\n \"LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData =\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"= params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime =\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId\",\n \"DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。\",\n \"__init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType:\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel):\",\n \"表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。\",\n \"= None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus =\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId\",\n \"str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal：\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"__init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration:\",\n \"GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Severity = None self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime\",\n \"None self.TopSeverity = None self.Count = None self.ScoreLost = None def _deserialize(self, params):\",\n \"null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param\",\n \"params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\"))\",\n \"params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo\",\n \"None self.Time = None self.Info = None self.Limit = None self.Product = None\",\n \"params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"= params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str\",\n \"指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit\",\n \"is not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric()\",\n \"\\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\")\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回\",\n \"str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。\",\n \"null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product = None\",\n \"% \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds =\",\n \"\\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost:\",\n \"0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def\",\n \"self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product = None def\",\n \"\\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\")\",\n \"r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str\",\n \"Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType\",\n \"self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel\",\n \"self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self):\",\n \"CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"= params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = [] for item in\",\n \"EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline:\",\n \"TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。\",\n \":param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int\",\n \"= DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \":param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"None self.EventId = None self.Severity = None self.Outline = None self.DiagItem = None\",\n \"None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\")\",\n \"= None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime =\",\n \"None: self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj)\",\n \"in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体\",\n \"\\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset = None self.Limit = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据\",\n \"self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset\",\n \"str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int\",\n \"数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位%\",\n \"self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays\",\n \"class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int\",\n \"self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in\",\n \"DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。\",\n \":param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \":type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None\",\n \"\\\"\\\"\\\" self.Id = None self.Name = None self.Mail = None def _deserialize(self, params):\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体\",\n \":type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list\",\n \"= None self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan =\",\n \"self.DiagType = None self.EventId = None self.Explanation = None self.Outline = None self.Problem\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None def\",\n \"list of str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset = None\",\n \"= None self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name =\",\n \"self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self):\",\n \"self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"\\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None\",\n \"str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product:\",\n \"= None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime =\",\n \"None self.ProfileName = None self.BindInstanceId = None self.Product = None def _deserialize(self, params):\",\n \"str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId = None def _deserialize(self,\",\n \"RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None def\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy =\",\n \":param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime:\",\n \"= params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId =\",\n \"str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self):\",\n \"库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。\",\n \":type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回\",\n \"self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None:\",\n \"DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param\",\n \"= InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus\",\n \"None self.Metric = None self.EndTime = None self.RequestId = None def _deserialize(self, params):\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int :param\",\n \"self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount =\",\n \"def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type\",\n \":type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params):\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in\",\n \"params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\")\",\n \":type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type\",\n \"= None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs()\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None\",\n \"params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value\",\n \"Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。\",\n \"None self.TimeSeries = None self.SeriesData = None self.RequestId = None def _deserialize(self, params):\",\n \":type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs\",\n \"SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData\",\n \"self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str\",\n \"= params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def\",\n \"params.get(\\\"Events\\\") is not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj =\",\n \"not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\"\",\n \"= params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name,\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel):\",\n \"TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self):\",\n \"of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric\",\n \"= params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays:\",\n \"params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\")\",\n \"self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None:\",\n \"None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series = [] for\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product =\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays =\",\n \"self.Source = None self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime\",\n \":param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param\",\n \"= params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"None self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost = None\",\n \"int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"= None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost =\",\n \"self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if\",\n \"MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param\",\n \"None self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\")\",\n \"User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB:\",\n \"str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str\",\n \"params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"):\",\n \"= params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param\",\n \"\\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count:\",\n \"CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None\",\n \"obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name,\",\n \"is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\")\",\n \"class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int\",\n \"TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None\",\n \"= params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param\",\n \"str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType =\",\n \"None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params):\",\n \":param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson:\",\n \":param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"):\",\n \"self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"None self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is\",\n \"AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param\",\n \"self.User = None self.Host = None self.DB = None self.State = None self.Command\",\n \"Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int :param Source:\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit:\",\n \"of str \\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self, params): self.Product\",\n \"库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。\",\n \":type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type\",\n \"= params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate =\",\n \"str \\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\")\",\n \"ID: str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host:\",\n \":type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type\",\n \"TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData:\",\n \"r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events =\",\n \"r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay:\",\n \"params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj =\",\n \"\\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None\",\n \"= params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset =\",\n \"= params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\"\",\n \"OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求\",\n \"class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \":param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit =\",\n \":param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param\",\n \"TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId\",\n \"not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str\",\n \":param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime:\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"\\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is\",\n \"未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str\",\n \"self.Volume = None self.EngineVersion = None self.Vip = None self.Vport = None self.Source\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\")\",\n \"LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\"\",\n \"self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo\",\n \"if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\"\",\n \"StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline:\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"\\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志\",\n \"Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\"\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set =\",\n \"GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId:\",\n \"DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime:\",\n \"def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of\",\n \"Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str\",\n \"= None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId =\",\n \"\\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time:\",\n \"= None self.Info = None self.Limit = None self.Product = None def _deserialize(self,\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"):\",\n \"None self.Severity = None self.StartTime = None self.Suggestions = None self.Metric = None\",\n \"def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type\",\n \"= None self.InstanceId = None self.Metric = None self.Region = None def _deserialize(self,\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId:\",\n \"int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str\",\n \"sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位%\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product:\",\n \"= ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product\",\n \"= None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId =\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None:\",\n \"self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。\",\n \"EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product\",\n \"\\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型）\",\n \"language governing permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model\",\n \"= params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem =\",\n \"= params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set =\",\n \"import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel):\",\n \"self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId\",\n \"self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set\",\n \"= params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys())\",\n \"of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \"= SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体\",\n \"params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups =\",\n \"str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str\",\n \":type Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def\",\n \"IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength:\",\n \"- 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param HealthLevels:\",\n \"监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of\",\n \"self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"self.Events = [] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount\",\n \":type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\")\",\n \"self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema\",\n \"params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\")\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID =\",\n \"= ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param\",\n \":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId:\",\n \"Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\"\",\n \"= None self.Stage = None self.Threads = None self.SqlExecId = None self.Product =\",\n \"= params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None\",\n \"self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp\",\n \"limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def\",\n \"None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\")\",\n \"Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\"\",\n \"params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"):\",\n \"HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative\",\n \":type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item in\",\n \"DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio:\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self,\",\n \"str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str\",\n \"class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str\",\n \"self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source\",\n \"params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \":type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime = None\",\n \"list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type\",\n \"\\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\")\",\n \"12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId =\",\n \"None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\")\",\n \"self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\"\",\n \"= params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName =\",\n \"= params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item in\",\n \"= [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp =\",\n \"日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type\",\n \"= None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in\",\n \":type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId:\",\n \":param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\"\",\n \"InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported:\",\n \"self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj)\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param\",\n \"Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None self.Names =\",\n \"= params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\")\",\n \"_deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set =\",\n \"HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel\",\n \"int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes\",\n \"either express or implied. # See the License for the specific language governing\",\n \"TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"% \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。\",\n \"[] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\")\",\n \"params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \":type Info: str \\\"\\\"\\\" self.ID = None self.User = None self.Host = None\",\n \"self.EndTime = None self.StartTime = None self.EventId = None self.Severity = None self.Outline\",\n \"= None self.Severity = None self.ScoreLost = None self.Metric = None self.Count =\",\n \"None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj)\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def\",\n \"str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int\",\n \"r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity =\",\n \"Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"the License. # You may obtain a copy of the License at #\",\n \":param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \":type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables\",\n \"str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount\",\n \"Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param\",\n \"if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\")\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self):\",\n \"全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param\",\n \":param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param\",\n \"params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\")\",\n \"self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set\",\n \":param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"= None self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio =\",\n \"[] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys())\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime\",\n \"不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name =\",\n \"def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus\",\n \":type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type\",\n \"params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str\",\n \"None self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId = None\",\n \"实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。\",\n \"= params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type\",\n \"\\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product = None def _deserialize(self, params):\",\n \"self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def\",\n \"self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost\",\n \"= None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product =\",\n \"params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self):\",\n \"for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText:\",\n \"InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId:\",\n \"params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \":type DB: str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type\",\n \"= params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name,\",\n \"of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str\",\n \"_deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions =\",\n \"self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set\",\n \"int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp =\",\n \"if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj\",\n \"int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int\",\n \"str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan = None self.Cost\",\n \"self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData = None def\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。\",\n \"None self.Offset = None self.SchemaList = None self.Product = None def _deserialize(self, params):\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None\",\n \":type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds = None\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name,\",\n \"self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime\",\n \"None self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \":type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount = None\",\n \"= params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp:\",\n \"not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item)\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\")\",\n \":param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param\",\n \"% \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type\",\n \"= None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail =\",\n \"of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series =\",\n \"params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type\",\n \"self.Outline = None self.Problem = None self.Severity = None self.StartTime = None self.Suggestions\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2\",\n \"def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId\",\n \"self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name =\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData =\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for\",\n \":param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str :param\",\n \"params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is\",\n \"is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries()\",\n \":type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"= params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"may not use this file except in compliance with the License. # You\",\n \"= None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset =\",\n \":param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId:\",\n \"str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation =\",\n \"params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys())\",\n \"self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product\",\n \"params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\")\",\n \"是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。\",\n \"int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime\",\n \"= None self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem =\",\n \":type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type\",\n \"None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。\",\n \"params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:\",\n \"null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。\",\n \"self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"\\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param\",\n \"self.Vport = None self.Source = None self.GroupId = None self.GroupName = None self.Status\",\n \"if params.get(\\\"Rows\\\") is not None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj\",\n \"\\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId:\",\n \"= params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" %\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None\",\n \"None self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema:\",\n \"self.DiagType = None self.EndTime = None self.StartTime = None self.EventId = None self.Severity\",\n \"params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\")\",\n \":param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items\",\n \"None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None\",\n \"线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件 ID\",\n \"= params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None\",\n \"开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId = None def _deserialize(self,\",\n \"健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel:\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId =\",\n \"self.InstanceId = None self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId\",\n \":param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param\",\n \"obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel):\",\n \":param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param\",\n \"params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\")\",\n \"self.Rows = [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items =\",\n \"params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\"\",\n \"params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount\",\n \"= params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体\",\n \"params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\"\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"None self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\")\",\n \"\\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds = None\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\"\",\n \"params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"_deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined =\",\n \"ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"= params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。\",\n \"MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"\\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime = None self.EventId = None\",\n \"= params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel):\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None\",\n \"None self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime = None\",\n \"self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for\",\n \"int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId:\",\n \"Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime = None self.EventId\",\n \"params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product:\",\n \"params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\")\",\n \"_deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel =\",\n \"self.IssueType = None self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\"\",\n \"最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str\",\n \"self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost\",\n \"params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\"\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\"\",\n \"PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。\",\n \"% \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此\",\n \"None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\")\",\n \"= None self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list\",\n \"self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio\",\n \"params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\")\",\n \"UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。\",\n \"= params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"\\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is\",\n \"str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User =\",\n \"list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type\",\n \"TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\"\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param\",\n \"= params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime\",\n \"str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData`\",\n \"% \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type\",\n \"None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys())\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str\",\n \"= None self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId =\",\n \"Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括：\",\n \"self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for\",\n \"诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。\",\n \"int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int\",\n \"% \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type\",\n \"class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str\",\n \"params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is\",\n \"SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。\",\n \"class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str\",\n \":param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"-\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str\",\n \":type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId:\",\n \"r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for\",\n \":param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \"params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = []\",\n \"self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost = None def\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item)\",\n \"- 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None\",\n \":type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" -\",\n \"int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType =\",\n \":type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type\",\n \"None self.DiagType = None self.StartTime = None self.EndTime = None self.Outline = None\",\n \"- 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int\",\n \"TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求\",\n \":type HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type\",\n \":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11\",\n \"None self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \"= None self.ContactPerson = None self.ContactGroup = None self.Product = None def _deserialize(self,\",\n \"self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds = None def\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type\",\n \":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel):\",\n \"None self.EndTime = None self.Product = None self.Md5 = None def _deserialize(self, params):\",\n \"最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒\",\n \"and # limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class\",\n \"SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def\",\n \"not use this file except in compliance with the License. # You may\",\n \"self.IsSupported = None self.Product = None self.Offset = None self.Limit = None self.InstanceNames\",\n \"\\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType:\",\n \":type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type\",\n \"params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys())\",\n \":param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup:\",\n \"str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str\",\n \"\\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"= params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product =\",\n \"None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\")\",\n \"= None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None:\",\n \"- 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def\",\n \"= None self.User = None self.Host = None self.DB = None self.State =\",\n \"AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source:\",\n \":type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount = None\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset:\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \":param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self,\",\n \"None self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric = None\",\n \"安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"self.Region = None self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType\",\n \"Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User\",\n \"params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item in\",\n \":type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type\",\n \"\\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items = None\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows =\",\n \"params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"list of str \\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self, params):\",\n \"obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def\",\n \"is not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData()\",\n \":type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema\",\n \"obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel =\",\n \"None self.DiagType = None self.EventId = None self.Explanation = None self.Outline = None\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None\",\n \":param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText: str :param\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product =\",\n \":param Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId:\",\n \"not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus =\",\n \"低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime\",\n \"1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list\",\n \"__init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \"self.TopSeverity = None self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem\",\n \":param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None:\",\n \"QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin:\",\n \"线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。\",\n \"str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str\",\n \"params.get(\\\"Series\\\") is not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj =\",\n \"任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。\",\n \"class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime:\",\n \"InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\")\",\n \"self.Info = None self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\")\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def\",\n \"def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type\",\n \":type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params):\",\n \":param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str :param\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。\",\n \"self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None\",\n \"= params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs()\",\n \"self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒\",\n \"SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText\",\n \"RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin:\",\n \"params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\")\",\n \"r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name: 组名称。 :type Name: str\",\n \"params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\"\",\n \"- 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" -\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema:\",\n \"self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId =\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel):\",\n \":param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore:\",\n \"异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。\",\n \"是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of\",\n \"list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \":param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str\",\n \"DB: str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command:\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId = None def _deserialize(self,\",\n \"联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None self.Names = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\")\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params): if\",\n \"class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int\",\n \"params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric:\",\n \"self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def\",\n \"Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"= params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays =\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product:\",\n \"实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。\",\n \"params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"):\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree\",\n \":type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count = None\",\n \"EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId:\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts =\",\n \"if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s\",\n \"params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。\",\n \"in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count:\",\n \"def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions\",\n \"None self.Time = None self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\")\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def\",\n \":type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows\",\n \"- 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int\",\n \"ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param\",\n \"= None self.Comments = None self.SqlText = None self.Schema = None self.Tables =\",\n \"Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType:\",\n \"TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows:\",\n \"float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float\",\n \"InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language:\",\n \"= params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime =\",\n \"- 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays\",\n \"item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set =\",\n \":type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str\",\n \"self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan\",\n \":param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param\",\n \"TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost:\",\n \":param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes =\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体\",\n \"if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item)\",\n \"self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product\",\n \"None self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset = None\",\n \":type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric:\",\n \"str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds =\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events:\",\n \"\\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost:\",\n \"class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str\",\n \"self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None\",\n \"None self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"= params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName =\",\n \"= params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel):\",\n \"for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel):\",\n \":param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values:\",\n \"r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str\",\n \"list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions:\",\n \"float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float\",\n \"str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str\",\n \":type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId =\",\n \"list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。\",\n \":param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param\",\n \":param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param\",\n \"Id: 组id。 :type Id: int :param Name: 组名称。 :type Name: str :param MemberCount:\",\n \"self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。\",\n \"导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def\",\n \"params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList =\",\n \"= params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"None self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds = None\",\n \"params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"= ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"- 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type\",\n \"r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str\",\n \"str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId =\",\n \"params.get(\\\"Groups\\\") is not None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj =\",\n \"def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\"\",\n \":type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type\",\n \"self.Comments = None self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan\",\n \"obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name,\",\n \"% \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。\",\n \"= params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name,\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符，\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"- 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list\",\n \"Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText:\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数\",\n \"最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数\",\n \":type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp =\",\n \"str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" -\",\n \"str :param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported = None\",\n \":param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions\",\n \"params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item in params.get(\\\"Items\\\"):\",\n \"self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId\",\n \"= None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName =\",\n \"None self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \":type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type\",\n \"self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric\",\n \"self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId\",\n \"\\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\")\",\n \"配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel =\",\n \"params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value\",\n \"\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj)\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax:\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回\",\n \"MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of\",\n \":param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param\",\n \"def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength\",\n \"\\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId:\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId:\",\n \"self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength\",\n \"self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj =\",\n \":type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"= params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set =\",\n \":type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag:\",\n \":type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str\",\n \"\\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity = None self.Count = None\",\n \"\\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime:\",\n \"self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\"\",\n \"self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product\",\n \":type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None\",\n \"= params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = []\",\n \"list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None\",\n \"安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus:\",\n \"- 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param\",\n \":param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item\",\n \"Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions:\",\n \"self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus\",\n \"= params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\")\",\n \":param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2\",\n \":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str\",\n \"= params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"- 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" -\",\n \":param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\"\",\n \":type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize:\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth:\",\n \"str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id,\",\n \"self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\"))\",\n \"self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for\",\n \"params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\")\",\n \"Mail: str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail = None def\",\n \":type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId:\",\n \"None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \"params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime:\",\n \"self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit\",\n \"= params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames =\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus =\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param\",\n \"符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows: list\",\n \"if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj\",\n \"= None self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion =\",\n \"EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport:\",\n \"params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\"))\",\n \"= None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId =\",\n \"self.Severity = None self.ScoreLost = None self.Metric = None self.Count = None def\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy =\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total =\",\n \"int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is\",\n \"None self.StartTime = None self.EventId = None self.Severity = None self.Outline = None\",\n \"params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"= params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self,\",\n \"None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def\",\n \"of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param\",\n \"\\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type\",\n \"ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity\",\n \"params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\")\",\n \"= None self.InstanceName = None self.Vip = None self.Vport = None self.Product =\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str\",\n \"Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"_deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays =\",\n \"DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"= None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema =\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product = None def\",\n \"\\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema = None def _deserialize(self, params):\",\n \"self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax\",\n \":param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int :param\",\n \"= params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin =\",\n \"list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product = None\",\n \"params): if params.get(\\\"Series\\\") is not None: self.Series = [] for item in params.get(\\\"Series\\\"):\",\n \"int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int\",\n \"DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"= None self.DiagType = None self.StartTime = None self.EndTime = None self.Outline =\",\n \"__init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。\",\n \":type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds:\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = [] for\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\"\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product = None def _deserialize(self,\",\n \"Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo\",\n \"obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def\",\n \":type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type\",\n \"待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset:\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None def\",\n \"ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host:\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体\",\n \"= params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName =\",\n \"= params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件\",\n \"实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName =\",\n \":type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。\",\n \":param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。\",\n \":param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus:\",\n \"def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson\",\n \"self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。\",\n \"All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the\",\n \"= params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a\",\n \"= params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\"\",\n \":class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None\",\n \"HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。\",\n \"EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \"None self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo = None\",\n \"self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not\",\n \"= None self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus =\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"= None self.InstanceType = None self.Cpu = None self.Memory = None self.Volume =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def\",\n \":type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\"\",\n \"None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\")\",\n \"SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio:\",\n \":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of\",\n \"str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for\",\n \"str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None:\",\n \"= None self.ProfileName = None self.BindInstanceId = None self.Product = None def _deserialize(self,\",\n \"self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product:\",\n \"TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName\",\n \"InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。\",\n \"CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None\",\n \":type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"= None self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize =\",\n \"Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None:\",\n \"class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int\",\n \"= params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set =\",\n \"self.InstanceId = None self.ID = None self.User = None self.Host = None self.DB\",\n \"str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"% \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type\",\n \"for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\"\",\n \"= None self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions =\",\n \"if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"\\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID:\",\n \"class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。\",\n \"TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param\",\n \"= params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region =\",\n \"DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText:\",\n \"obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId:\",\n \"\\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp:\",\n \"\\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。\",\n \"in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def\",\n \"\\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None\",\n \"\\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList:\",\n \"list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \"= None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None:\",\n \"= None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo =\",\n \":param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置,\",\n \"\\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName:\",\n \"\\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name: 组名称。\",\n \"self.Id = None self.Name = None self.Mail = None def _deserialize(self, params): self.Id\",\n \"\\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \":param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId =\",\n \"class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\")\",\n \"self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory\",\n \"= params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def\",\n \"DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"_deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength =\",\n \"获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。\",\n \":type Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\")\",\n \"= None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set =\",\n \"self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"None self.Limit = None self.Offset = None self.SchemaList = None self.Product = None\",\n \"DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str\",\n \"list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" +\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"= None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name,\",\n \"扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。\",\n \"self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId\",\n \"RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"_deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree =\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\")\",\n \"None self.Outline = None self.Problem = None self.Severity = None self.StartTime = None\",\n \"self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product\",\n \"self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups\",\n \":param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime:\",\n \"OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None def\",\n \"self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio\",\n \"TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体\",\n \"EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip\",\n \"self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set =\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language =\",\n \"等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。\",\n \"Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str :param State:\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy\",\n \"class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。\",\n \"self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema:\",\n \"str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int\",\n \"= None self.Explanation = None self.Outline = None self.Problem = None self.Severity =\",\n \"SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product =\",\n \"self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in\",\n \"is not None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem()\",\n \"def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"= None self.StartTime = None self.EndTime = None self.Product = None self.Md5 =\",\n \"params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId =\",\n \"self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type\",\n \"= params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\")\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem:\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None\",\n \"None self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\")\",\n \"EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of\",\n \"self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"= params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" -\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId\",\n \"_deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name,\",\n \"str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for item\",\n \"= None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore =\",\n \"int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\")\",\n \"= None self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User =\",\n \"ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param\",\n \"= None self.Host = None self.DB = None self.State = None self.Command =\",\n \"params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\")\",\n \"params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name,\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel):\",\n \"云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit =\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \":type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore:\",\n \"is not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile()\",\n \"self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region\",\n \":type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product:\",\n \"self.Items = [] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set\",\n \":type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"= None self.Outline = None self.Severity = None self.ScoreLost = None self.Metric =\",\n \"is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\")\",\n \"params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。\",\n \"= params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \":param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str :param\",\n \"self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if\",\n \"InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore:\",\n \"DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay\",\n \"int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product =\",\n \"TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData\",\n \"params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime:\",\n \"class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp =\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels =\",\n \"None self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId = None\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5:\",\n \"诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param\",\n \"Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id\",\n \"= TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks =\",\n \"MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of\",\n \"= None self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup =\",\n \"None self.InstanceName = None self.Region = None self.HealthScore = None self.Product = None\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set\",\n \"list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status\",\n \"DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command:\",\n \"DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity:\",\n \":type State: str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type\",\n \"params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\")\",\n \"class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax:\",\n \"None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys())\",\n \"item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel):\",\n \"params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id:\",\n \":type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type\",\n \"specific language governing permissions and # limitations under the License. import warnings from\",\n \":param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId =\",\n \"params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"self.ProfileName = None self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration\",\n \"None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\")\",\n \":param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param\",\n \"is not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo()\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset\",\n \"统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self,\",\n \"Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State:\",\n \":type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type\",\n \"top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"company. All Rights Reserved. # # Licensed under the Apache License, Version 2.0\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount\",\n \"self.TotalCount = None self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。\",\n \":type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId = None\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts =\",\n \"params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for\",\n \"Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\"\",\n \"str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product:\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"self.TableSchema = None self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName\",\n \":param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \":param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items\",\n \"平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime =\",\n \"= params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not\",\n \"% \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。\",\n \":param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:\",\n \"str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str\",\n \"params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"= params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None\",\n \"params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"):\",\n \"= None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self,\",\n \"self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus\",\n \"self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel:\",\n \"r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount:\",\n \"r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration:\",\n \"self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not\",\n \"if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName\",\n \"permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel\",\n \"实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库\",\n \"= None self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode =\",\n \"__init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime:\",\n \"= params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command =\",\n \":type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices\",\n \"self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId\",\n \"str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str\",\n \"params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.DB = None self.State = None self.Command = None self.Time = None self.Info\",\n \"str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\"\",\n \"params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\")\",\n \"DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool\",\n \"None self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize:\",\n \"if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj\",\n \"self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize\",\n \":param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of\",\n \":type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax\",\n \"健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type\",\n \"self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds:\",\n \":type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id:\",\n \"self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for item\",\n \":param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"= [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId =\",\n \"[] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType\",\n \"if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not\",\n \":type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type\",\n \"State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time:\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime =\",\n \"= params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = []\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries =\",\n \"DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例\",\n \"params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys())\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。\",\n \"列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\")\",\n \"SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:\",\n \"来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param\",\n \"str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel):\",\n \"Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost:\",\n \"class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg:\",\n \"self.InstanceConf = None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus\",\n \":param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str :param\",\n \"\\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax:\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage:\",\n \"self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel):\",\n \"int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\"\",\n \"self.Advices = None self.Comments = None self.SqlText = None self.Schema = None self.Tables\",\n \"= None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events = []\",\n \"params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self):\",\n \"self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\"\",\n \"RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax\",\n \"= params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost =\",\n \"params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\")\",\n \"self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"= None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self,\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体\",\n \":type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type\",\n \"int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType:\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。\",\n \"class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int\",\n \"params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\")\",\n \"= params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio =\",\n \"class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str\",\n \":param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in\",\n \":param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param\",\n \"utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All\",\n \"str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel):\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas =\",\n \"None self.ScoreLost = None self.Metric = None self.Count = None def _deserialize(self, params):\",\n \"Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume:\",\n \"self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def\",\n \"str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type\",\n \"数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema =\",\n \"= [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId =\",\n \"self.Time = None self.Info = None self.Limit = None self.Product = None def\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。\",\n \"Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays:\",\n \"CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime:\",\n \"异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。\",\n \"self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set\",\n \"Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None def\",\n \"配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。\",\n \"= params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio =\",\n \"__init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel):\",\n \":type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type\",\n \"self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param\",\n \"IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \":type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo:\",\n \"= GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks\",\n \"str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema =\",\n \"= None self.Outline = None self.Problem = None self.Severity = None self.StartTime =\",\n \":type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self, params):\",\n \"= [] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId =\",\n \"class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int\",\n \"a Tencent company. All Rights Reserved. # # Licensed under the Apache License,\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName\",\n \"TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows:\",\n \"self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport = None self.Product\",\n \"UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag:\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId =\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\")\",\n \"ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param\",\n \"self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for\",\n \"= params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name,\",\n \"AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。\",\n \":type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type\",\n \"% \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type\",\n \"SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds:\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\")\",\n \"self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name: 组名称。 :type\",\n \"联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of\",\n \"self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in\",\n \"None self.InstanceId = None self.Metric = None self.Region = None def _deserialize(self, params):\",\n \"is not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries()\",\n \"None self.DB = None self.State = None self.Command = None self.Time = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime:\",\n \"None self.StartDate = None self.EndDate = None self.Product = None def _deserialize(self, params):\",\n \"ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \":type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type\",\n \"params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param\",\n \"None self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem:\",\n \"int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int\",\n \"联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list\",\n \"StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"= None self.Vip = None self.Vport = None self.Product = None self.EngineVersion =\",\n \"sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒\",\n \"params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\")\",\n \"Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset =\",\n \"诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。\",\n \"云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId =\",\n \"EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"\\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type EventId: int\",\n \"总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type\",\n \"class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"__init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\"\",\n \"\\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId:\",\n \"params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys())\",\n \"str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \"\\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric:\",\n \"返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\")\",\n \":param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel):\",\n \"None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is\",\n \"str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\"\",\n \"obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel):\",\n \"InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。\",\n \"None self.Regions = None self.Product = None self.InstanceIds = None def _deserialize(self, params):\",\n \"def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB\",\n \"InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self):\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def\",\n \"None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.Product = None self.Md5\",\n \"= None self.ProfileType = None self.Product = None self.BindInstanceIds = None def _deserialize(self,\",\n \"self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj =\",\n \"params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \":param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays:\",\n \":type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type\",\n \"\\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\")\",\n \"- 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of\",\n \"TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\"\",\n \":type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type\",\n \"None self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\")\",\n \"in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体\",\n \"def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set\",\n \"TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。\",\n \"self.DailyInspection = None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param\",\n \"实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\"\",\n \"EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None self.Product\",\n \"柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item\",\n \"RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self, params): if\",\n \"EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int\",\n \"params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\"\",\n \":param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type\",\n \"% \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy =\",\n \"最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = []\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None\",\n \":param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str :param\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime =\",\n \"obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None\",\n \"Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate:\",\n \"Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin\",\n \"TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求\",\n \"数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None\",\n \"\\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\")\",\n \"ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel =\",\n \"Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio:\",\n \"self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount:\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def\",\n \"_deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set =\",\n \":param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:\",\n \"self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set\",\n \"InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。\",\n \"Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity:\",\n \"AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName\",\n \"None self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\")\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言,\",\n \"None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None self.Product = None\",\n \"告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime =\",\n \"\\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions:\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items:\",\n \"= None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId =\",\n \"% \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。\",\n \"def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName\",\n \"12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product:\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product\",\n \"= params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。\",\n \"r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \":param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson =\",\n \"Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \"\\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type\",\n \":param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param\",\n \"self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\"\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel):\",\n \"def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration =\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads =\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for\",\n \"云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime =\",\n \":type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int\",\n \"of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items\",\n \"params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\")\",\n \"str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"\\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric:\",\n \"r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type\",\n \"Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total:\",\n \"int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \":type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime:\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime:\",\n \"self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None\",\n \"生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \":type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem\",\n \"None self.SqlText = None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength =\",\n \":param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None\",\n \"class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。\",\n \"None self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product =\",\n \"DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def\",\n \"SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。\",\n \"None self.Threads = None self.SqlExecId = None self.Product = None def _deserialize(self, params):\",\n \"params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"= params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:\",\n \"\\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText = None self.Schema = None\",\n \"ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo =\",\n \"组id。 :type Id: int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。\",\n \"self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in\",\n \"def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"% \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type\",\n \"class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId:\",\n \"HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount:\",\n \"str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值：\",\n \"根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list of\",\n \"Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"__init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。\",\n \"__init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。\",\n \":param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param\",\n \"= None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime =\",\n \"obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId =\",\n \"IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax:\",\n \"None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\"))\",\n \":param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param\",\n \"params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\")\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo\",\n \"params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\")\",\n \"= None self.Total = None self.AvailableDays = None self.RequestId = None def _deserialize(self,\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None\",\n \"= None self.StartTime = None self.EndTime = None self.Outline = None self.Severity =\",\n \"params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is\",\n \":param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus:\",\n \":type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel):\",\n \":param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None\",\n \"self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\"\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。\",\n \"实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。\",\n \"self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime\",\n \"\\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series:\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel):\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\"\",\n \"\\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType:\",\n \"self.Data = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is not\",\n \"= None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 =\",\n \"params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\")\",\n \"params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\")\",\n \"= None self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag =\",\n \"None self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\")\",\n \"str :param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str\",\n \"params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel):\",\n \"ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count:\",\n \":type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回\",\n \":type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId = None\",\n \"= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \":type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport\",\n \":param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None\",\n \"int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：\",\n \"float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int\",\n \"\\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \":param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of\",\n \"= None self.TimeSeries = None self.SeriesData = None self.RequestId = None def _deserialize(self,\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User:\",\n \"params.get(\\\"Items\\\") is not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj =\",\n \"None self.Limit = None self.SortBy = None self.Product = None def _deserialize(self, params):\",\n \"= params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None:\",\n \"params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\")\",\n \"item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name,\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def\",\n \"= MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel):\",\n \"CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None\",\n \":param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"\\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel:\",\n \"= params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio =\",\n \"self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in\",\n \"TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine:\",\n \"None self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime\",\n \"null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送:\",\n \"ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType:\",\n \":param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"\\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params):\",\n \"# limitations under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel):\",\n \"params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self):\",\n \"None self.StartTime = None self.EndTime = None self.Product = None self.Md5 = None\",\n \"ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName:\",\n \"str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type\",\n \":param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo:\",\n \"DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command:\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel):\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None\",\n \"self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText\",\n \":type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\",\",\n \"EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。\",\n \"class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \":type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list\",\n \"self.Name = None self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name\",\n \"\\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items:\",\n \"params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\")\",\n \"OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset:\",\n \"= params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText =\",\n \"params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\")\",\n \"= None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回\",\n \"int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list\",\n \"obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds =\",\n \"= params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId:\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None\",\n \"str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus:\",\n \"int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str\",\n \":param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str\",\n \"= params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关,\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline\",\n \"not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item)\",\n \"TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param\",\n \":param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None\",\n \"RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None\",\n \"DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree:\",\n \"self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"_deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"self.Events = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is not\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId =\",\n \"params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData =\",\n \"str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type\",\n \"self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not\",\n \"= None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount =\",\n \"self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not\",\n \"str :param EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type\",\n \":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type\",\n \"\\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:\",\n \"None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is\",\n \"TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list\",\n \"self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent\",\n \"Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType =\",\n \"None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\")\",\n \"ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"\\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体\",\n \"联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region =\",\n \"self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus\",\n \"DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime:\",\n \":type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName\",\n \"params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId:\",\n \"self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"None self.DiagItem = None self.InstanceId = None self.Metric = None self.Region = None\",\n \"of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events =\",\n \"self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for\",\n \"EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu:\",\n \"= params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId =\",\n \"\\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName:\",\n \"self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost\",\n \"self.ContactPerson = None self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is\",\n \"\\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson = None\",\n \"class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求\",\n \"params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported:\",\n \"r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int\",\n \"self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId = None def\",\n \"= params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline =\",\n \"params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj =\",\n \"Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set\",\n \":type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\")\",\n \"InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params):\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type\",\n \"None self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline\",\n \"None self.Remain = None self.Total = None self.AvailableDays = None self.RequestId = None\",\n \":param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param\",\n \"如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language =\",\n \":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self):\",\n \"12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels\",\n \"定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param\",\n \"self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema\",\n \"ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"\\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation = None\",\n \"\\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list\",\n \"Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit:\",\n \"params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10\",\n \"self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host\",\n \"DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None\",\n \"None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.StartTime = None self.EndTime = None self.CreateTime = None self.Status = None self.Progress\",\n \"self.DbScanStatus = None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \":type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int\",\n \"not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item)\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product = None def\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId\",\n \"= InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set\",\n \"联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None self.Names = None\",\n \"self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId =\",\n \"。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName\",\n \"私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。\",\n \"数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。\",\n \"_deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\")\",\n \"结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def\",\n \"is not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo()\",\n \"params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param\",\n \"= params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set =\",\n \"self.Product = None self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product =\",\n \"Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema:\",\n \"ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments =\",\n \":type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None\",\n \":type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self, params):\",\n \"None self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求\",\n \"= params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength =\",\n \"self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"None self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None\",\n \"self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine\",\n \"InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。\",\n \"\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds =\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset\",\n \"= [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Limit = None self.SortBy = None self.StartDate = None self.EndDate = None self.Product\",\n \"is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体\",\n \"是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param\",\n \"params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported =\",\n \"= params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId =\",\n \"is not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem()\",\n \"def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays\",\n \"Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName\",\n \":param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\"\",\n \":type EndTime: str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type\",\n \":param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。\",\n \"None self.Product = None self.Offset = None self.Limit = None self.InstanceNames = None\",\n \"日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int\",\n \":param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list of\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self):\",\n \"= params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name,\",\n \"- 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" -\",\n \":param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"self.Items = [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \":param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param\",\n \"风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative\",\n \"MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series = None\",\n \":type Metric: str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText =\",\n \":type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount\",\n \"params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys())\",\n \"\\\"\\\"\\\" self.Growth = None self.Remain = None self.Total = None self.AvailableDays = None\",\n \"self.SqlPlan = None self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices\",\n \"None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is\",\n \"SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period =\",\n \"相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product =\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time =\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product = None\",\n \"self.Vip = None self.Vport = None self.Product = None self.EngineVersion = None def\",\n \"params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId:\",\n \":type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total = None\",\n \"Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime\",\n \"- 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime\",\n \"= None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None:\",\n \"[] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"self.Time = None self.Info = None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User\",\n \"params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration:\",\n \"self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set\",\n \"= None self.EndTime = None self.CreateTime = None self.Status = None self.Progress =\",\n \"= params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = [] for item in\",\n \"AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId\",\n \"ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost:\",\n \"= None self.Engine = None self.DataLength = None self.IndexLength = None self.DataFree =\",\n \"BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime\",\n \"self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime\",\n \"None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\")\",\n \"BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel =\",\n \":type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product = None def _deserialize(self,\",\n \"self.Limit = None self.Offset = None self.SchemaList = None self.Product = None def\",\n \"params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体\",\n \"SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param\",\n \"def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset:\",\n \"= params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value\",\n \"\\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls\",\n \":type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type\",\n \"self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric\",\n \"InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set =\",\n \"AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys())\",\n \"_deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series = [] for item in\",\n \"筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\"\",\n \"CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None\",\n \":param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType =\",\n \"str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo`\",\n \"= params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def\",\n \"\\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names:\",\n \"\\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param\",\n \"Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User =\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\"\",\n \":type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None\",\n \"HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" -\",\n \"SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine\",\n \"分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel):\",\n \"截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str\",\n \"开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type\",\n \"ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param\",\n \"ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy:\",\n \":param Id: 添加成功的联系人id。 :type Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。\",\n \"obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def\",\n \"self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount:\",\n \"= None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime =\",\n \"_deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB =\",\n \"Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime:\",\n \":type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type\",\n \"params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"{instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括：\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit =\",\n \":type ID: str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product = None def _deserialize(self,\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set\",\n \"str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str\",\n \"0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson:\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is\",\n \"Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product:\",\n \"None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\")\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。\",\n \"r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product =\",\n \"= None self.SortBy = None self.OrderBy = None self.Limit = None self.Offset =\",\n \"\\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId = None\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql\",\n \"= None self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel):\",\n \"int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total: int\",\n \"FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize:\",\n \":type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param\",\n \"params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"= None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail:\",\n \"= [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type\",\n \"None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress\",\n \"list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\")\",\n \"2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed\",\n \"= ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= None self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。\",\n \"\\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。\",\n \":type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads\",\n \"None self.AvailableDays = None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\")\",\n \"_deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId =\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type\",\n \"结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type\",\n \":type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type\",\n \"定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\"\",\n \"(c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # #\",\n \"__init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData:\",\n \"self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema\",\n \"r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int\",\n \"self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command\",\n \"self.Metric = None self.Unit = None self.Values = None def _deserialize(self, params): self.Metric\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\"\",\n \"str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" self.ID = None self.User = None self.Host = None self.DB = None\",\n \":type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type\",\n \"of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup:\",\n \"params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value\",\n \"is not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail()\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self):\",\n \"\\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema:\",\n \"保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId =\",\n \"TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param\",\n \"ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。\",\n \"class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库\",\n \"Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem\",\n \":type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。 :type\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type\",\n \"= params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent =\",\n \"Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product:\",\n \"self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set\",\n \"params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product = None def _deserialize(self, params):\",\n \"None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength = None\",\n \"not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item)\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User = None self.Host =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\"\",\n \"int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType\",\n \"SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param\",\n \"str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type\",\n \"需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product:\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type\",\n \"str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \"r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`\",\n \"MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series = None\",\n \"= None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\")\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel):\",\n \"= None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None:\",\n \"self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params): self.SendMail\",\n \"任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str :param\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \":param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param\",\n \"\\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId = None def _deserialize(self, params):\",\n \"ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus =\",\n \"params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\")\",\n \"is not None: self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice()\",\n \"__init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。\",\n \"_deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item in\",\n \"% \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses\",\n \"= None self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\"\",\n \"IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int\",\n \"r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float\",\n \"self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks:\",\n \"Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport:\",\n \"筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId\",\n \"= None self.Groups = None self.RequestId = None def _deserialize(self, params): self.TotalCount =\",\n \":param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of\",\n \"库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName =\",\n \"SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID\",\n \"None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\")\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param\",\n \"class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list\",\n \"来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。\",\n \"云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \"\\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount:\",\n \"int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int\",\n \"self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def\",\n \"= None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType =\",\n \"None self.Explanation = None self.Outline = None self.Problem = None self.Severity = None\",\n \"self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in\",\n \"self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds\",\n \"AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。\",\n \"class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int\",\n \"= MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str\",\n \"EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline:\",\n \"= params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product =\",\n \"= params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name,\",\n \"params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys())\",\n \"params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。\",\n \"开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件:\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId:\",\n \"截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime = None self.EndTime\",\n \"Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode:\",\n \"InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId = None def _deserialize(self, params):\",\n \"ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\"\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"\\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。\",\n \"None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value\",\n \"params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for\",\n \"self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。\",\n \"None self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio = None\",\n \"= None self.CreateTime = None self.StartTime = None self.EndTime = None self.InstanceInfo =\",\n \"= None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None:\",\n \"self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\")\",\n \":param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param\",\n \"ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int\",\n \":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def\",\n \"self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def\",\n \"StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag:\",\n \"None self.Problem = None self.Severity = None self.StartTime = None self.Suggestions = None\",\n \"User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB:\",\n \"params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None\",\n \"- 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type TaskStatuses:\",\n \":param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param\",\n \"= params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId\",\n \"Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion:\",\n \"__init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param Name: 组名称。 :type Name:\",\n \"params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\")\",\n \"= None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\")\",\n \"self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels\",\n \"self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus\",\n \"item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel):\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id =\",\n \"% \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type\",\n \"self.Source = None self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId\",\n \"= params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set =\",\n \"\\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs:\",\n \"Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int\",\n \":type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None\",\n \"LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads:\",\n \"self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in\",\n \"服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product:\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.Product = None self.EventCount = None self.InstanceType = None self.Cpu = None\",\n \"self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\")\",\n \"None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\")\",\n \"obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo =\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。\",\n \"self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。\",\n \"def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series = [] for item\",\n \"self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg\",\n \"保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param\",\n \"= params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime =\",\n \"params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\")\",\n \"obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set =\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries\",\n \"self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels\",\n \"obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def\",\n \"扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。\",\n \"MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param\",\n \"\\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回\",\n \"= [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount =\",\n \"not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item)\",\n \"str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str\",\n \"% \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type\",\n \":param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param\",\n \":param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int\",\n \"实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。\",\n \"self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.SqlPlan = None self.Cost = None self.RequestId = None def _deserialize(self, params):\",\n \"= None self.EventId = None self.Severity = None self.Outline = None self.DiagItem =\",\n \"cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。\",\n \"for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value\",\n \"float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int\",\n \"self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"TableName: str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine:\",\n \"ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric: str :param Count:\",\n \"self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self):\",\n \"Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId\",\n \"Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio\",\n \"_deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName =\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行；\",\n \"class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list\",\n \":param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp:\",\n \"= None self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id =\",\n \":param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp\",\n \"str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus`\",\n \":type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param\",\n \"返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"[] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\")\",\n \"None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\")\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def\",\n \"self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list\",\n \"CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"\\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson:\",\n \"= None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType =\",\n \":param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param\",\n \"Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask\",\n \":param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param\",\n \"= None self.InstanceName = None self.Region = None self.HealthScore = None self.Product =\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None\",\n \"InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport:\",\n \":param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels:\",\n \":type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF：\",\n \"= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema =\",\n \"Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None\",\n \"\\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list\",\n \":param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。\",\n \"Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values =\",\n \"= params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds =\",\n \"\\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is\",\n \":type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type\",\n \"None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy =\",\n \"EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type\",\n \"InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\"\",\n \"RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId = None def\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId\",\n \"ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"= None self.EndTime = None self.Product = None self.DangerLevels = None def _deserialize(self,\",\n \"self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in\",\n \"ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str\",\n \"params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None self.Product =\",\n \"ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \":param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId:\",\n \"= None self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId =\",\n \":param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"\\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem:\",\n \"int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product = None def _deserialize(self,\",\n \":type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength = None\",\n \"Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str\",\n \"None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params):\",\n \"= params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:\",\n \":param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\"\",\n \"is not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = ScoreItem()\",\n \"StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"= None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId =\",\n \"= None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg =\",\n \"= params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type\",\n \":param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param\",\n \"= params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"= None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel):\",\n \"返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \"str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None\",\n \":param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。 :type\",\n \"PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine =\",\n \"obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData()\",\n \"None self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None\",\n \"SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId =\",\n \"Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions:\",\n \"int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。\",\n \"线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。\",\n \"= params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type\",\n \"\\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None\",\n \"= params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList:\",\n \"class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。\",\n \"list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params):\",\n \"self.InstanceId = None self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType\",\n \"线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。\",\n \"= params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime:\",\n \"= None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent =\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel):\",\n \"None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is\",\n \"= None self.EngineVersion = None self.Vip = None self.Vport = None self.Source =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel):\",\n \"危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param\",\n \"self.StartTime = None self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost\",\n \"self.StartTime = None self.EventId = None self.Severity = None self.Outline = None self.DiagItem\",\n \"InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set =\",\n \"params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\")\",\n \"self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson\",\n \"总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数\",\n \"params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime\",\n \"Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"\",\n \"ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo =\",\n \"ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type\",\n \"= None self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost =\",\n \"self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg\",\n \"事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId\",\n \"Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType:\",\n \"Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName:\",\n \"发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson: 联系人id,\",\n \"None self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \":type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type\",\n \"联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product:\",\n \"= None self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds =\",\n \":param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None self.OverviewDisplay = None\",\n \"= None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def _deserialize(self,\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId = None\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"= None self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId =\",\n \"\\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId:\",\n \"None self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\")\",\n \":type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None\",\n \"Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product = None def\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId = None def\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData\",\n \"None self.Volume = None self.EngineVersion = None self.Vip = None self.Vport = None\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is\",\n \"self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds\",\n \"None self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels = None\",\n \"self.Vip = None self.Vport = None self.Source = None self.GroupId = None self.GroupName\",\n \"= None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime =\",\n \"class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str\",\n \"SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID:\",\n \"params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"_deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId =\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for\",\n \"class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str\",\n \"None self.RangeDays = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \":type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"= None self.Command = None self.Time = None self.Info = None def _deserialize(self,\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def\",\n \"def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item\",\n \"None self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\")\",\n \"str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId = None def _deserialize(self,\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"= params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost =\",\n \"def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree\",\n \"str :param Names: 联系组名称数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None\",\n \"None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None\",\n \"SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product:\",\n \":param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param\",\n \"{instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType:\",\n \"实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。\",\n \"CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of\",\n \"is not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj = EventInfo()\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体\",\n \"异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity\",\n \":param Id: 组id。 :type Id: int :param Name: 组名称。 :type Name: str :param\",\n \":type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：\",\n \"_deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress =\",\n \"最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def\",\n \"DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\"\",\n \"= params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData`\",\n \"\\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount = None def _deserialize(self, params):\",\n \"list of str :param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported\",\n \":type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \":param TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp\",\n \"% \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type\",\n \"params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\"\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration =\",\n \"_deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item in\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\"\",\n \"self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product\",\n \"DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param\",\n \"= None self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType =\",\n \"Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem:\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\")\",\n \"TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param\",\n \"\\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period:\",\n \"you may not use this file except in compliance with the License. #\",\n \":param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product\",\n \"= None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\")\",\n \"float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param\",\n \":param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str\",\n \"self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events\",\n \":type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type\",\n \"self.Outline = None self.Severity = None self.ScoreLost = None self.Metric = None self.Count\",\n \"线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def\",\n \"None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\")\",\n \"\\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime:\",\n \"self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions\",\n \"Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice\",\n \"SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。\",\n \"严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。\",\n \"self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth =\",\n \"= params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"Tencent company. All Rights Reserved. # # Licensed under the Apache License, Version\",\n \"ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy:\",\n \"= params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"_deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def\",\n \"= None self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit =\",\n \"params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\")\",\n \"最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param RowsExamined: 总扫描行数\",\n \"Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。\",\n \"组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount =\",\n \"Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self,\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\"\",\n \"Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product = None self.Names =\",\n \"params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \":type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int\",\n \"list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None\",\n \"TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float\",\n \"日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。\",\n \"non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str\",\n \"None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"of float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values = None def\",\n \":type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"self.TotalCount = None self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"\\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries:\",\n \"null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param\",\n \"DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of\",\n \"params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo\",\n \"Id: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id =\",\n \"InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus =\",\n \"DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str :param Host:\",\n \"self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self):\",\n \"BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo = None self.ProfileLevel = None self.ProfileName =\",\n \"r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。\",\n \"self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength\",\n \"\\\"\\\"\\\" self.InstanceId = None self.ID = None self.User = None self.Host = None\",\n \"self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for\",\n \"self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset\",\n \"\\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User:\",\n \"- 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId\",\n \"排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param\",\n \"= params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int\",\n \"int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int\",\n \"None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None\",\n \"_deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel):\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data\",\n \"指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。\",\n \"= params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"None self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId =\",\n \"under the License. import warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\"\",\n \"= params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status =\",\n \"list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param\",\n \"MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。\",\n \":param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param\",\n \"= None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data = HealthScoreInfo()\",\n \"SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId:\",\n \"self.Id = None self.RequestId = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId\",\n \"结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of\",\n \"MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels:\",\n \"\\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:\",\n \"SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param\",\n \"params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\")\",\n \":type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries\",\n \":type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \":type Names: list of str \\\"\\\"\\\" self.Product = None self.Names = None def\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product:\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy\",\n \"params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\")\",\n \"10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type\",\n \"str :param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回\",\n \"SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param\",\n \"str \\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls =\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for\",\n \"def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId:\",\n \"self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId\",\n \":type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId =\",\n \"IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail\",\n \"\\\"\\\"\\\" self.Metric = None self.Unit = None self.Values = None def _deserialize(self, params):\",\n \"如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\",\",\n \"self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId\",\n \"= params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume =\",\n \"self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item\",\n \"is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体\",\n \"DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList:\",\n \"params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime: str\",\n \"params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\"\",\n \"Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product\",\n \"ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType\",\n \"= params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name,\",\n \"self.Metric = None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type\",\n \"self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"is not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem()\",\n \"Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\"))\",\n \"线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。\",\n \"ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items =\",\n \"list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"= None self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param\",\n \"% \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type\",\n \"None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\")\",\n \"params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\"))\",\n \"self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode\",\n \"None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj)\",\n \"= params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu =\",\n \"_deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema =\",\n \"self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels\",\n \"\\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime:\",\n \"= params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None:\",\n \"DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\")\",\n \"ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset = None self.Limit\",\n \":param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\"\",\n \"params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\")\",\n \"str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\"\",\n \"class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str\",\n \"self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys())\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体\",\n \"MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel):\",\n \"= params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel):\",\n \"= None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product =\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId\",\n \":type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10\",\n \"self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\")\",\n \"Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources: list of str\",\n \"self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime:\",\n \"= None self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio =\",\n \"None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product = None\",\n \"[] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is\",\n \"\\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData:\",\n \"TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels:\",\n \"= params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels:\",\n \"params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \":type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product =\",\n \"def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回\",\n \"__init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name:\",\n \"平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值\",\n \"str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId = None def _deserialize(self,\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy\",\n \"r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" -\",\n \":type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回\",\n \"实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。\",\n \"AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax:\",\n \"开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括：\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items = None\",\n \"实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None\",\n \"self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None self.RequestId = None def _deserialize(self,\",\n \"IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count:\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" -\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = []\",\n \"CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type AsyncRequestId: int :param\",\n \"EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus:\",\n \"= None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio =\",\n \"None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\")\",\n \"self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength\",\n \"self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus\",\n \"= None self.Limit = None self.Offset = None self.SchemaList = None self.Product =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType:\",\n \"= params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type\",\n \"ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None\",\n \":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type\",\n \"params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \":type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type\",\n \"params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product: 实例产品。\",\n \":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset:\",\n \"self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for\",\n \"内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。\",\n \"Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def\",\n \"保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\"\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\")\",\n \"\\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id:\",\n \"self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime\",\n \"= None self.Source = None self.GroupId = None self.GroupName = None self.Status =\",\n \"= None self.Product = None self.Offset = None self.Limit = None self.InstanceNames =\",\n \"__init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"% \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type\",\n \"self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion\",\n \":type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product =\",\n \"params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj =\",\n \"self.TotalLength = None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def\",\n \":param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计\",\n \"库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。\",\n \"任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None:\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"_deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = []\",\n \"。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库\",\n \"self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType\",\n \"结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。\",\n \"= MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value\",\n \"= params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set =\",\n \"r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float\",\n \"[] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio:\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if\",\n \":class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"None self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength = None\",\n \"= params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info =\",\n \"self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for\",\n \"Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength:\",\n \"StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。\",\n \"% \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 日志导出任务Id。 :type\",\n \"None self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType = None\",\n \"ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str\",\n \"SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param\",\n \"None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\")\",\n \":type Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None\",\n \"self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param\",\n \"Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product\",\n \"ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type\",\n \"None self.TotalSize = None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"\\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups:\",\n \"params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys())\",\n \"\\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"self.Offset = None self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType\",\n \"\\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel):\",\n \":type Product: str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product = None\",\n \"obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None self.TableSchema = None\",\n \"InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region:\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId = None def _deserialize(self,\",\n \"self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if\",\n \"params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of\",\n \"int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str\",\n \"Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric:\",\n \"None: self.Events = [] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj)\",\n \"float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values = None def _deserialize(self,\",\n \"= None self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括：\",\n \"Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio:\",\n \"TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength:\",\n \"SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for\",\n \"_deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def\",\n \"None self.Product = None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self):\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList\",\n \":type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User = None\",\n \"DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param\",\n \"。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。\",\n \"params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\")\",\n \"int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip =\",\n \"self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation = None self.Outline\",\n \"str :param User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str\",\n \":type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type\",\n \":type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None\",\n \"self.StartDate = None self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"Vport: int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId:\",\n \"= None self.SqlTemplate = None self.SqlText = None self.Schema = None self.QueryTimeRatio =\",\n \"= None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime =\",\n \"self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\"\",\n \"StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost\",\n \"params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\")\",\n \"\\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int\",\n \"= params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int\",\n \"str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel):\",\n \"int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset =\",\n \":param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\")\",\n \"实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括：\",\n \"self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId = None def\",\n \"= None self.Count = None self.ScoreLost = None def _deserialize(self, params): self.DiagItem =\",\n \"InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime:\",\n \"def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj\",\n \"self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu\",\n \"\\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId\",\n \"list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount\",\n \"= params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set\",\n \":type LockTimeMin: float :param RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type\",\n \"Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type\",\n \"self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time =\",\n \"\\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore:\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema:\",\n \"实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip: 实例内网IP。\",\n \"self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime = None self.StartTime\",\n \"self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId\",\n \":param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\"\",\n \"of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type\",\n \"str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param\",\n \":type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type\",\n \"\\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo\",\n \"Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str\",\n \"云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId = None\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User =\",\n \"StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type\",\n \"str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int\",\n \"RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg:\",\n \"params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"None self.StartTime = None self.EndTime = None self.CreateTime = None self.Status = None\",\n \"- 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\"\",\n \"of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"% \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type\",\n \"None self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\")\",\n \"任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments =\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries = None self.RequestId = None def _deserialize(self,\",\n \":param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str :param\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\")\",\n \"item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。\",\n \"_deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\")\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。\",\n \"ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self):\",\n \":param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int :param\",\n \"。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\"\",\n \":type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体\",\n \"None self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\")\",\n \"None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not None: self.ProfileList = [] for\",\n \"None self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None\",\n \"= None self.StartTime = None self.EndTime = None self.Product = None def _deserialize(self,\",\n \"= params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime =\",\n \"= params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name,\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate\",\n \"None self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId = None\",\n \":param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None\",\n \"self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName:\",\n \"self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus\",\n \"HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \":type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type\",\n \"BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy\",\n \"健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\"\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"State: str :param Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time:\",\n \"self.EndTime = None self.Outline = None self.Severity = None self.ScoreLost = None self.Metric\",\n \"事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param\",\n \":type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str\",\n \"= HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"is not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost()\",\n \"str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime = None self.EventId =\",\n \"params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\")\",\n \"\\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId = None def _deserialize(self, params):\",\n \":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime:\",\n \":type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self, params):\",\n \"库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。\",\n \"list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList\",\n \"None self.EndTime = None self.Product = None self.DangerLevels = None def _deserialize(self, params):\",\n \"None self.InstanceType = None self.Cpu = None self.Memory = None self.Volume = None\",\n \"= None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None:\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int\",\n \":param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。\",\n \"self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime\",\n \"服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product:\",\n \"def __init__(self): r\\\"\\\"\\\" :param DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type\",\n \":param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求\",\n \":param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of\",\n \"def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type\",\n \"params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value\",\n \"class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type Count: int\",\n \"= params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\")\",\n \"TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param\",\n \"= params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit =\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None self.SqlExecId = None self.RequestId =\",\n \"亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int\",\n \":param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\"\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore =\",\n \"None self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\")\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag =\",\n \":param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize:\",\n \"= params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion =\",\n \"def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type\",\n \"self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set\",\n \"HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param ContactPerson:\",\n \"None self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\")\",\n \":param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type Vport: int :param\",\n \"\\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount:\",\n \"None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\")\",\n \"SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime =\",\n \"HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\"\",\n \"= params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item in\",\n \"_deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType:\",\n \"__init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param\",\n \"None self.Offset = None self.Limit = None self.Product = None def _deserialize(self, params):\",\n \"params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\")\",\n \"GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type Id: int :param\",\n \"- 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds:\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId\",\n \"class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str\",\n \":param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\"\",\n \"= None self.EndDate = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode\",\n \"self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds\",\n \"_deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set =\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None\",\n \"cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:\",\n \"r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost: int\",\n \"self.SchemaList = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime\",\n \":type Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None\",\n \"None self.Md5 = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"\\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount:\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\"\",\n \"None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\")\",\n \"Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress:\",\n \"= params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity =\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"_deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name,\",\n \"r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" -\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。\",\n \"\\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount:\",\n \"_deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData()\",\n \":param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告,\",\n \"= None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema =\",\n \"params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\")\",\n \"None self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList = None\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\"\",\n \"self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if\",\n \"item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel):\",\n \"EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables\",\n \"Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str :param Values:\",\n \"= params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline =\",\n \"obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None\",\n \"self.GroupName = None self.Status = None self.UniqSubnetId = None self.DeployMode = None self.InitFlag\",\n \"int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int\",\n \"r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type\",\n \"self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not\",\n \"= None self.DiagItem = None self.InstanceId = None self.Metric = None self.Region =\",\n \"开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。\",\n \"= None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self,\",\n \"SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime\",\n \"self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region\",\n \":param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param\",\n \"= params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None\",\n \"self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in\",\n \":param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str \\\"\\\"\\\" self.DailyInspection = None\",\n \"SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId\",\n \"ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \":param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema =\",\n \"= SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \":type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type\",\n \"params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\")\",\n \"self.Events = [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param\",\n \"str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset = None self.Limit =\",\n \"= params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB =\",\n \"params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = [] for item in params.get(\\\"Groups\\\"):\",\n \"self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"_deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"self.TimeSeries = [] for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if\",\n \"HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str\",\n \":type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def\",\n \"Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem:\",\n \"+ {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。\",\n \"% \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type\",\n \":param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\"\",\n \"int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved.\",\n \"= None self.Events = None self.TotalCount = None def _deserialize(self, params): self.IssueType =\",\n \"self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio\",\n \"class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str\",\n \"ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param\",\n \"str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel):\",\n \"= None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus =\",\n \"self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime\",\n \":param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None\",\n \":type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items =\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params):\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param\",\n \"self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId = None self.Product\",\n \"if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj\",\n \"= None self.Names = None def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names =\",\n \"None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes\",\n \"Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str\",\n \"筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"None self.User = None self.Host = None self.DB = None self.State = None\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not\",\n \"__init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\"\",\n \"obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"= params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio =\",\n \"= None self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds =\",\n \"Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId:\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration:\",\n \"\\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Events\\\") is\",\n \":type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth\",\n \"self.TotalCount = None self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \":param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int :param\",\n \"EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"self.Product = None self.Offset = None self.Limit = None self.InstanceNames = None self.InstanceIds\",\n \"EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str :param Severity:\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId = None def\",\n \"ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate: str :param SqlText: 带参数SQL（随机） :type SqlText:\",\n \"\\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema = None def\",\n \"= params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product =\",\n \"str :param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type\",\n \"_deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds:\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel):\",\n \"if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj\",\n \"= EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value\",\n \"if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj\",\n \"int :param Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem :param\",\n \"\\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType:\",\n \"None self.ID = None self.User = None self.Host = None self.DB = None\",\n \"None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel):\",\n \"Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info:\",\n \"of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"= params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize =\",\n \"UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSecurityAuditLogExportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup =\",\n \"HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \"None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is\",\n \"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" -\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def\",\n \"of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None\",\n \"str \\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product = None def _deserialize(self,\",\n \"12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None\",\n \"params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\")\",\n \"str :param HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str\",\n \"InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param\",\n \"self.Tables = None self.SqlPlan = None self.Cost = None self.RequestId = None def\",\n \"StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads = None\",\n \"params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None:\",\n \"self.Memory = None self.Volume = None self.EngineVersion = None self.Vip = None self.Vport\",\n \"self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info\",\n \":param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User = None\",\n \"params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None\",\n \"self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product\",\n \"导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime:\",\n \"params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus = None\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。\",\n \"= None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series = []\",\n \":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。\",\n \"返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str\",\n \"None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel):\",\n \":type Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product = None self.Offset\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product\",\n \"None self.DeadlineTime = None self.IsSupported = None self.SecAuditStatus = None self.AuditPolicyStatus = None\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys())\",\n \"UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId:\",\n \"str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime =\",\n \"self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId\",\n \":type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType:\",\n \"str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None\",\n \"CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress:\",\n \"Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime\",\n \"self.IssueType = None self.ScoreLost = None self.ScoreLostMax = None self.Items = None def\",\n \"self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds\",\n \"if params.get(\\\"Items\\\") is not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj\",\n \"Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp\",\n \"self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not\",\n \"self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def\",\n \"str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Threads = None\",\n \"None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持\",\n \"\\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema:\",\n \":param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"_deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count =\",\n \"self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for\",\n \":param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" -\",\n \"of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。\",\n \"None: self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def\",\n \":type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID\",\n \"self.Limit = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID\",\n \"= params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan =\",\n \":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime:\",\n \"HealthScore: 健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount:\",\n \"任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。\",\n \"str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int\",\n \"Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost\",\n \"self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel):\",\n \"磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求\",\n \"self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength\",\n \"None self.ContactGroup = None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\")\",\n \"= None self.Regions = None self.Product = None self.InstanceIds = None def _deserialize(self,\",\n \"int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int\",\n \"None self.Metric = None self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\")\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param\",\n \"MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param\",\n \"= params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set =\",\n \":param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount:\",\n \"bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT：\",\n \"ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type\",\n \"in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\"\",\n \"is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \":param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str\",\n \"None self.Vport = None self.Product = None self.EngineVersion = None def _deserialize(self, params):\",\n \"def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int :param DiagType:\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId\",\n \"Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。\",\n \"params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否;\",\n \":type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId\",\n \"= None def _deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus =\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。\",\n \"__init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type\",\n \"of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of\",\n \"TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3\",\n \"r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str\",\n \":param EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation:\",\n \"if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for\",\n \"params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体\",\n \"DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。\",\n \"obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def\",\n \"params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param\",\n \"of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail\",\n \":param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore =\",\n \"HealthStatus: list of str :param ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int\",\n \"self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \":type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type\",\n \"self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion = None self.Vip\",\n \"params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。\",\n \"= params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax =\",\n \"in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体\",\n \"IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体\",\n \"= params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorFloatMetricSeriesData()\",\n \"= None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = []\",\n \"User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB: 线程的操作数据库。 :type DB:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of\",\n \"QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax:\",\n \"None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys())\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\"\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId =\",\n \"str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param\",\n \"单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self,\",\n \"= params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType =\",\n \":type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self, params):\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\")\",\n \"State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str :param Time:\",\n \"= ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if\",\n \"None self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params):\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID，\",\n \"self.InstanceType = None self.Cpu = None self.Memory = None self.Volume = None self.EngineVersion\",\n \"int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为\",\n \"_deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration()\",\n \"params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\")\",\n \"Limited, a Tencent company. All Rights Reserved. # # Licensed under the Apache\",\n \":param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\"\",\n \"= [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount =\",\n \"self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param\",\n \"DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str :param Command:\",\n \"not None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item)\",\n \"None self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds = None\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\") is not None: self.Data =\",\n \"params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj =\",\n \"list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId:\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile\",\n \"% \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\"\",\n \"\\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric\",\n \"\\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl:\",\n \"Time: 线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID\",\n \"self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None:\",\n \"= params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\")\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product\",\n \"ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region\",\n \"params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\"\",\n \"中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime =\",\n \"None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params):\",\n \"= None self.GroupId = None self.GroupName = None self.Status = None self.UniqSubnetId =\",\n \"= params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set =\",\n \"EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\",\",\n \":param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。\",\n \"根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of\",\n \"self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema\",\n \"obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore\",\n \"self.InstanceId = None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \":param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type\",\n \"params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\")\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit =\",\n \"联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup:\",\n \"SqlText: str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables:\",\n \"self.EventsTotalCount = None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree = None\",\n \"item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId =\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None\",\n \"str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail = None def _deserialize(self,\",\n \"User: 线程的操作账号名。 :type User: str :param Host: 线程的操作主机地址。 :type Host: str :param DB:\",\n \"健康得分。 :type HealthScore: int :param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。\",\n \"of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events\",\n \"MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product =\",\n \"AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name:\",\n \"% \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \":type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str\",\n \"self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate\",\n \"self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio\",\n \"self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"- 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses:\",\n \"IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。\",\n \"DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \":class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime =\",\n \"DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 来源地址数目。 :type TotalCount: int :param\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not\",\n \"Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode:\",\n \":type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None\",\n \"self.SqlExecId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage\",\n \"self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of\",\n \"self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if\",\n \"str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric\",\n \"= params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10\",\n \"self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not\",\n \"None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value\",\n \"str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回\",\n \"params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys())\",\n \":param ProcessList: 实时线程列表。 :type ProcessList: list of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product = None\",\n \":type Name: str :param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param\",\n \"params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\"))\",\n \":param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp:\",\n \"% \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\")\",\n \"= None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin =\",\n \"None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.Offset =\",\n \"SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int\",\n \"class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection:\",\n \"def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel):\",\n \"[] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId =\",\n \"str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type\",\n \"self.Timestamp = None def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds:\",\n \"\\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体\",\n \"查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"str \\\"\\\"\\\" self.Growth = None self.Remain = None self.Total = None self.AvailableDays =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组\",\n \"实例 ID 。 :type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric:\",\n \"= params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime =\",\n \"Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。 :type Vport: int :param Product:\",\n \"= None self.Progress = None self.CreateTime = None self.StartTime = None self.EndTime =\",\n \"是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId = None def\",\n \"params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\"\",\n \":type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\")\",\n \"DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio:\",\n \"int :param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int\",\n \"InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory:\",\n \"ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list\",\n \"null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"= None self.Region = None def _deserialize(self, params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime =\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes\",\n \"self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit = None def\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg =\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top\",\n \"null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param\",\n \"% \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type\",\n \"EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。\",\n \"None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration\",\n \"LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0\",\n \"self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3\",\n \"not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\"\",\n \"碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= None self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels =\",\n \"= None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId =\",\n \"self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type\",\n \"self.ProfileType = None self.Product = None self.Offset = None self.Limit = None self.ProfileName\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.DbScanStatus = None self.Items = None self.RequestId =\",\n \"= [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =\",\n \"None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None\",\n \"= None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema =\",\n \"库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None\",\n \":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName =\",\n \"= None self.Severity = None self.StartTime = None self.Suggestions = None self.Metric =\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Vip:\",\n \"[] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys())\",\n \"in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set))\",\n \"str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int\",\n \"params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product:\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName:\",\n \"self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set\",\n \":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str :param\",\n \"None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None\",\n \"self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \":type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param\",\n \"None self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime = None\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables =\",\n \"params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\")\",\n \"params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\"\",\n \"严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。\",\n \"self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product\",\n \"int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str\",\n \"class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list\",\n \"self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus\",\n \"params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \":type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def\",\n \"_deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for item in\",\n \"_deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item in\",\n \":type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括：\",\n \"UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime:\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"):\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set\",\n \":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str :param\",\n \"\\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\")\",\n \":type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type\",\n \"params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain =\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"with the License. # You may obtain a copy of the License at\",\n \"= MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"\\\"\\\"\\\" self.Name = None self.ContactInfo = None self.Product = None def _deserialize(self, params):\",\n \"[] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体\",\n \"None self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\")\",\n \"接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。\",\n \"str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName =\",\n \"is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads\",\n \":param DB: 线程的操作数据库。 :type DB: str :param State: 线程的操作状态。 :type State: str :param\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth:\",\n \":type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None\",\n \"= None self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl =\",\n \"of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails\",\n \"StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \":param Threads: kill完成的sql会话ID列表。 :type Threads: list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回\",\n \"list of int \\\"\\\"\\\" self.Series = None self.Timestamp = None def _deserialize(self, params):\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp =\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId = None\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId\",\n \"根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product = None\",\n \":type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None self.ScoreLost =\",\n \":param Metric: 指标名称。 :type Metric: str :param Unit: 指标单位。 :type Unit: str :param\",\n \"= None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = []\",\n \"分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param\",\n \"ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset\",\n \"= params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId =\",\n \"None self.EndTime = None self.CreateTime = None self.Status = None self.Progress = None\",\n \"def _deserialize(self, params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for\",\n \":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName:\",\n \"= params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels =\",\n \"= params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime:\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions:\",\n \"params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\")\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId:\",\n \":param ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。\",\n \"class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str\",\n \"None self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None\",\n \"def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type\",\n \"params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys())\",\n \"= None self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period =\",\n \"Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括：\",\n \"= None self.State = None self.Command = None self.Time = None self.Info =\",\n \"str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int\",\n \"Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema\",\n \"str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None\",\n \"r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = [] for item in params.get(\\\"Rows\\\"):\",\n \"None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None\",\n \"DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId:\",\n \"Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items: list of ScoreItem \\\"\\\"\\\" self.IssueType = None\",\n \"= None self.InstanceIds = None self.Regions = None def _deserialize(self, params): self.IsSupported =\",\n \"self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime\",\n \"配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList: 实时线程列表。\",\n \"from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name:\",\n \"= None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒\",\n \"磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。\",\n \"params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows\",\n \"= params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None:\",\n \"of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemaTimeSeries =\",\n \"ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" +\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId = None self.Product = None def\",\n \"= None self.StartTime = None self.EndTime = None self.InstanceInfo = None self.HealthStatus =\",\n \"失败；\\\"finished\\\" - 已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param\",\n \"= params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name,\",\n \"手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。\",\n \"联系人/联系组不能都为空。 :type ContactGroup: list of int \\\"\\\"\\\" self.SendMail = None self.Region = None\",\n \"AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore\",\n \":type Vip: str :param Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type\",\n \"\\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events:\",\n \"self.ReportUrl = None self.ExpireTime = None self.RequestId = None def _deserialize(self, params): self.ReportUrl\",\n \"任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\" - 失败；\\\"finished\\\" - 已完成。 :type\",\n \"self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"self.Product = None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not\",\n \"ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Sources:\",\n \"Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type\",\n \"self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate\",\n \"Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy:\",\n \":type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name = None\",\n \"not None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item)\",\n \"Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries\",\n \"= params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set =\",\n \"None self.Limit = None self.SortBy = None self.StartDate = None self.EndDate = None\",\n \":type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None\",\n \"SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio:\",\n \"TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf:\",\n \"Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\")\",\n \"None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj)\",\n \"obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def\",\n \":type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo\",\n \"FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"= params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline =\",\n \"RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg:\",\n \":param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self):\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"\\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None self.SeriesData = None\",\n \"str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User:\",\n \":type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type\",\n \":param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\"\",\n \":type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\" self.Product\",\n \"% \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= None self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"\\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel):\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求\",\n \":type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type\",\n \"= None self.Schema = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText =\",\n \"params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括：\",\n \"导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型）\",\n \"for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore\",\n \":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \":type SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"= None self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\")\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求\",\n \"_deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime =\",\n \"PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None self.DataLength\",\n \"诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type EventId: int :param\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。\",\n \"null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param\",\n \"\\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self):\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries = [] for\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def\",\n \"class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒 :type LockTime: float\",\n \"\\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 添加成功的联系人id。 :type Id:\",\n \"def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"= None self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy =\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId\",\n \"class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list\",\n \"IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore: int\",\n \"int :param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\",\",\n \"= None self.IssueType = None self.TopSeverity = None self.Count = None self.ScoreLost =\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type\",\n \"list of int :param SqlExecId: 执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体\",\n \"None self.InstanceName = None self.Vip = None self.Vport = None self.Product = None\",\n \"r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type\",\n \"params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items\",\n \"str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None:\",\n \":type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \":type InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10\",\n \"IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set\",\n \"None self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params):\",\n \"def _deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。\",\n \"QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit:\",\n \"str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type\",\n \"TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None\",\n \"params.get(\\\"ContactInfo\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \":param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param\",\n \":class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName:\",\n \"item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel):\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries\",\n \"int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count = None def _deserialize(self,\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries\",\n \"__init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求\",\n \"None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None\",\n \"self.Threads = None self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads\",\n \"obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of\",\n \":param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param\",\n \"查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param\",\n \"class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str\",\n \"PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas\",\n \"TotalCount: 来源地址数目。 :type TotalCount: int :param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost\",\n \":param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。\",\n \"None self.Vip = None self.Vport = None self.Product = None self.EngineVersion = None\",\n \"self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= None self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount =\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。 :type Volume: int\",\n \"str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset: 偏移量，默认0。\",\n \"str :param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\")\",\n \"None self.Total = None self.AvailableDays = None self.RequestId = None def _deserialize(self, params):\",\n \"None self.ExecTimes = None self.SqlTemplate = None self.SqlText = None self.Schema = None\",\n \"str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type\",\n \"实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \":param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None\",\n \"= params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None:\",\n \"None self.DeployMode = None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None\",\n \"self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for\",\n \"= None self.Vip = None self.Vport = None self.Source = None self.GroupId =\",\n \"= params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param\",\n \"int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str\",\n \"最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host\",\n \"\\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema:\",\n \"str \\\"\\\"\\\" self.Product = None self.Names = None def _deserialize(self, params): self.Product =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def\",\n \"None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"= params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode =\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId =\",\n \"StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo:\",\n \"params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate = params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\")\",\n \"None self.Stage = None self.Threads = None self.SqlExecId = None self.Product = None\",\n \"self.InstanceName = None self.Region = None self.HealthScore = None self.Product = None self.EventCount\",\n \"根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset =\",\n \"\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type\",\n \"self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames\",\n \"= None self.ProfileName = None def _deserialize(self, params): self.ProfileType = params.get(\\\"ProfileType\\\") self.Product =\",\n \"= None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds =\",\n \"None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\")\",\n \"Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric = None\",\n \"r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = []\",\n \"def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel):\",\n \"DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param\",\n \"Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList:\",\n \"in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value\",\n \"EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId:\",\n \"float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None self.DataLength =\",\n \"CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param\",\n \"self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not\",\n \"组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of\",\n \"\\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo:\",\n \"self.EventId = None self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId\",\n \"_deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None self.Status = None self.Progress = None self.LogStartTime = None self.LogEndTime =\",\n \"= None self.Command = None self.Time = None self.Info = None self.Limit =\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId = None def _deserialize(self,\",\n \"= None self.UniqSubnetId = None self.DeployMode = None self.InitFlag = None self.TaskStatus =\",\n \":param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param\",\n \"= IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\")\",\n \"item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set =\",\n \"list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。\",\n \"% \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Count: 总数 :type\",\n \"list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime =\",\n \"list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime:\",\n \"_deserialize(self, params): self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson =\",\n \"self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema\",\n \"str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str\",\n \"of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。\",\n \"def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item\",\n \"self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set = set(params.keys()) for name, value in\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series =\",\n \"第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period:\",\n \":param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None\",\n \"= params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity =\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str\",\n \"= params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \":type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit:\",\n \"None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\")\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\") self.EndDate\",\n \"\\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText:\",\n \"= MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel\",\n \"MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param\",\n \"Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\")\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId =\",\n \"SeriesData: 单位时间间隔内的实例 cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param\",\n \":type Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。\",\n \":type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type\",\n \"Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \"self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit = None self.Offset\",\n \"self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes\",\n \"list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list\",\n \"ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId = None self.Explanation\",\n \"self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\"\",\n \":param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param\",\n \"开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param\",\n \"r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self,\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None\",\n \"params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value\",\n \"= None self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit =\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\"\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set\",\n \":param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。\",\n \"= InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set\",\n \"self.InstanceId = None self.EventId = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name, value\",\n \"MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId = None def _deserialize(self, params):\",\n \"= params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None:\",\n \"= [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product =\",\n \"self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax = params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost:\",\n \"= None self.AsyncRequestIds = None self.Offset = None self.Limit = None def _deserialize(self,\",\n \"UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count:\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None def _deserialize(self,\",\n \"实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress:\",\n \"params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\")\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries =\",\n \"__init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType:\",\n \"None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj)\",\n \"健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId: 唯一请求\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type LogStartTime: str :param LogEndTime: 导出日志结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str\",\n \":type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。\",\n \":param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of\",\n \"线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID = None self.User = None self.Host =\",\n \"str \\\"\\\"\\\" self.Advices = None self.Comments = None self.SqlText = None self.Schema =\",\n \"Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName:\",\n \"\\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data:\",\n \"MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self):\",\n \"str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId =\",\n \"self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText\",\n \":param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength: float :param\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param\",\n \"None self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\")\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup\",\n \":type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type\",\n \"DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus:\",\n \"= None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax =\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type\",\n \"EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount =\",\n \":type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \":type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product: 服务产品类型，支持值包括：\",\n \"the specific language governing permissions and # limitations under the License. import warnings\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"None self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \"\\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset = None\",\n \"= None self.Time = None self.Info = None def _deserialize(self, params): self.ID =\",\n \"None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int\",\n \"str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int\",\n \"Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。 :type EndTime: str :param StartTime:\",\n \"params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = [] for\",\n \"= None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\") self.Product =\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"self.InstanceId = None self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"= params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type\",\n \"__init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj\",\n \"Timestamp: int \\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count\",\n \"self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\")\",\n \":param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo:\",\n \"% \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type\",\n \"= None self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件\",\n \"self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set\",\n \"None self.DbScanStatus = None self.Items = None self.RequestId = None def _deserialize(self, params):\",\n \"def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries =\",\n \"\\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments:\",\n \"A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under the\",\n \"r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list\",\n \"ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName\",\n \"None self.Schema = None self.Tables = None self.SqlPlan = None self.Cost = None\",\n \"self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp\",\n \"None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None:\",\n \"= params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float\",\n \"self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp\",\n \"总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位%\",\n \"for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"= [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp =\",\n \"= params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name,\",\n \":param PhysicalFileSize: 库中所有表对应的独立物理文件大小加和（MB）。 注意：此字段可能返回 null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength\",\n \"QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio:\",\n \"HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName\",\n \"\\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks:\",\n \"self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory = None self.Volume\",\n \"CreateTime: str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress:\",\n \"obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product\",\n \"LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5:\",\n \"\\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName:\",\n \"self.StartTime = None self.EndTime = None self.Product = None self.DangerLevels = None def\",\n \"params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\"\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId =\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type\",\n \"str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type\",\n \"TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit:\",\n \"= None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ReportUrl:\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId:\",\n \"= None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = []\",\n \"= None self.ScoreLost = None self.Metric = None self.Count = None def _deserialize(self,\",\n \"None self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit:\",\n \":param Items: 各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"None self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory = None\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel):\",\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"self.ScoreLost = None self.Metric = None self.Count = None def _deserialize(self, params): self.EventId\",\n \"str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int\",\n \"ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline:\",\n \"self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in\",\n \"\\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId:\",\n \"\\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"self.Problem = None self.Severity = None self.StartTime = None self.Suggestions = None self.Metric\",\n \"\\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads:\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel):\",\n \"obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def\",\n \":param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType = None\",\n \"ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy:\",\n \"str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity:\",\n \"ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str\",\n \"= params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type\",\n \":type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type\",\n \":param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None\",\n \"DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param\",\n \":param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of SchemaSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport =\",\n \"params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\")\",\n \"not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item)\",\n \"str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"None self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None\",\n \"GroupId: 分组ID。 :type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status:\",\n \"LockTime: sql总锁等待时间，单位秒 :type LockTime: float :param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin:\",\n \"CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回\",\n \"Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param\",\n \":type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。\",\n \"- 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit\",\n \"StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo:\",\n \"= params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None:\",\n \"null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId =\",\n \"OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str :param Limit: 返回数量，默认为20，最大值为100。 :type Limit: int :param Offset:\",\n \"float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\") self.SqlExecId\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not\",\n \"r\\\"\\\"\\\" :param SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region:\",\n \"self.EngineVersion = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip\",\n \"for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str\",\n \":type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period\",\n \"= params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"- 云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds:\",\n \"class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str\",\n \"- 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str\",\n \"12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy:\",\n \"安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param\",\n \"InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str\",\n \"Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type\",\n \"Rows: list of SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds\",\n \"。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。\",\n \"Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str\",\n \"None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product =\",\n \"= params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\")\",\n \":param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\"\",\n \"params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys())\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体\",\n \"Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"= None self.Region = None self.HealthScore = None self.Product = None self.EventCount =\",\n \":type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\" - 待执行； \\\"running\\\" - 执行中；\\\"failed\\\"\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"_deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation =\",\n \"实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。\",\n \":param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type\",\n \"None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj)\",\n \":param Product: 所属产品。 :type Product: str :param EventCount: 异常事件数量。 :type EventCount: int :param\",\n \"params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId =\",\n \"self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = [] for item\",\n \"self.Limit = None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \"ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host:\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.StartDate = params.get(\\\"StartDate\\\")\",\n \"\\\"\\\"\\\" self.AsyncRequestId = None self.Source = None self.Progress = None self.CreateTime = None\",\n \"str :param Status: 任务状态。 :type Status: str :param Progress: 任务执行进度。 :type Progress: int\",\n \"= params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not\",\n \"params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus() self.HealthStatus._deserialize(params.get(\\\"HealthStatus\\\")) memeber_set = set(params.keys()) for name,\",\n \"\\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str :param Unit:\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \"该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost =\",\n \":type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorFloatMetricSeriesData` \\\"\\\"\\\" self.TableName = None\",\n \"开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str :param\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回\",\n \"TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount\",\n \":type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type Regions: list of str\",\n \"params): self.Urls = params.get(\\\"Urls\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。\",\n \"= None self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\")\",\n \"Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def\",\n \"self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime\",\n \"obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def\",\n \"self.Remain = None self.Total = None self.AvailableDays = None self.RequestId = None def\",\n \":type Items: list of InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin:\",\n \"= params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\"\",\n \"= None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin =\",\n \"str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag =\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param\",\n \"self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for\",\n \":type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem :param Product:\",\n \"= None self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name =\",\n \"\\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type\",\n \"扣分总分。 :type ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。\",\n \"\\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param\",\n \":type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type\",\n \"高危。 :type HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。\",\n \"None self.StartTime = None self.EndTime = None self.Product = None def _deserialize(self, params):\",\n \"r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def\",\n \"= None self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads =\",\n \"self.Cost = None self.RequestId = None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments\",\n \"self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId\",\n \"UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\"\",\n \"class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type Metric: str\",\n \"= None self.TotalCount = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\")\",\n \"= params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset =\",\n \"MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None\",\n \"= None self.DB = None self.State = None self.Command = None self.Time =\",\n \"self.SecAuditStatus = None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= None self.Schema = None self.Tables = None self.SqlPlan = None self.Cost =\",\n \"EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type StartTime:\",\n \"def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str\",\n \"Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"= None self.EventId = None self.Explanation = None self.Outline = None self.Problem =\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions\",\n \"self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId\",\n \"= params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime =\",\n \"Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit:\",\n \"None self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit = None\",\n \"self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name, value in\",\n \"云数据库 CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list\",\n \":type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type\",\n \"self.MailConfiguration = None def _deserialize(self, params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not\",\n \"None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj)\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID: 线程的ID，用于筛选线程列表。 :type ID:\",\n \":param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds:\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain:\",\n \"= None self.StartDate = None self.EndDate = None self.Product = None def _deserialize(self,\",\n \"params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SendMail:\",\n \"int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\"\",\n \"- 手动触发。 :type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" -\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。\",\n \"= params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId =\",\n \":param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\")\",\n \"\\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of int\",\n \"Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str :param Mail:\",\n \"AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str\",\n \"str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。\",\n \"= None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength =\",\n \"= params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\") self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\")\",\n \"r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str\",\n \"int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate:\",\n \":type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def\",\n \"ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId =\",\n \":param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND：\",\n \"\\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys())\",\n \"= params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。 :type\",\n \"= None self.EventCount = None self.InstanceType = None self.Cpu = None self.Memory =\",\n \"= None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def\",\n \"Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames:\",\n \"实例 ID 。 :type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param\",\n \"self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type\",\n \"float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str\",\n \"None self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit = None\",\n \"实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 :type ProfileLevel: str :param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"% \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type\",\n \"扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel\",\n \"self.Command = None self.Time = None self.Info = None self.Limit = None self.Product\",\n \"EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str\",\n \"Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str\",\n \"self.TaskStatuses = params.get(\\\"TaskStatuses\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceTablesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"TotalCount: 实例总数。 :type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items:\",\n \":param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param\",\n \":param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param\",\n \"None self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows = None\",\n \"= [] for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set =\",\n \"None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType =\",\n \"str :param Offset: 分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int\",\n \"= None self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\")\",\n \"未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str\",\n \"self.TaskStatus = params.get(\\\"TaskStatus\\\") self.UniqVpcId = params.get(\\\"UniqVpcId\\\") if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf =\",\n \"= params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo()\",\n \"None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self,\",\n \"str :param Schema: 数据库名 :type Schema: str :param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float\",\n \"[] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product = None def\",\n \"QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg:\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None\",\n \":param TotalCount: 组总数。 :type TotalCount: int :param Groups: 组信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Groups:\",\n \"self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore = None self.Product\",\n \"def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount:\",\n \"QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg:\",\n \"self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not\",\n \"SchemaList: list of SchemaItem :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。\",\n \"DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param\",\n \"= params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type HealthScore: int :param HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。\",\n \"obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def\",\n \":type Vport: int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type\",\n \"params.get(\\\"RowsSentMax\\\") self.RowsSentMin = params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\")\",\n \"class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list\",\n \"self.Items = None def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax\",\n \"__init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema:\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds\",\n \"item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel):\",\n \"筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax =\",\n \"list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type TableName: str :param TableSchema: 库名。\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param\",\n \"r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId =\",\n \"str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined =\",\n \"结束时间。 :type EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \":param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\"\",\n \"self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status:\",\n \"params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys())\",\n \"\\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type TotalCount:\",\n \"\\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def\",\n \":param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param\",\n \"SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy: str\",\n \"[] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"of MySqlProcess :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList =\",\n \":param SqlText: 带参数SQL（随机） :type SqlText: str :param Schema: 数据库名 :type Schema: str :param\",\n \"查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \":param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime: str :param\",\n \"子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。\",\n \"None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData\",\n \"ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str\",\n \"params): self.Language = params.get(\\\"Language\\\") if params.get(\\\"MailConfiguration\\\") is not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\"))\",\n \"list of int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus = None\",\n \"= None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength =\",\n \"TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf:\",\n \"self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax\",\n \"RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes:\",\n \"= None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self,\",\n \"null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId:\",\n \"DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体\",\n \"None self.DangerLevels = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel):\",\n \"str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type\",\n \"HealthLevel: 健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds\",\n \":type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"= None self.LockTimeMin = None self.RowsExamined = None self.RowsExaminedMax = None self.RowsExaminedMin =\",\n \"指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo :param\",\n \"PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type\",\n \"None self.EndTime = None self.RequestId = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\")\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。\",\n \"None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs\",\n \":type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"\\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip = None self.Vport = None\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType = None self.EventId\",\n \"TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list\",\n \"RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin:\",\n \"self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"DiagItem: 诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId:\",\n \":type Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit = None self.Values\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 =\",\n \"self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\"\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\")\",\n \"not None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item)\",\n \"= params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \":type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData:\",\n \"self.TimeSeries = None self.SeriesData = None self.RequestId = None def _deserialize(self, params): self.Period\",\n \"任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。\",\n \"= None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") self.DataLength =\",\n \"LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio:\",\n \"= MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value\",\n \"= params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None\",\n \"None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"= params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def\",\n \"params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\"\",\n \"= None self.InitFlag = None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf =\",\n \"self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in\",\n \"__init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def\",\n \"服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product:\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type\",\n \"params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\")\",\n \"str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime =\",\n \"is not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess()\",\n \"self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount =\",\n \"RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None def _deserialize(self, params): self.Urls\",\n \"Product: str :param Offset: 分页偏移量。 :type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit:\",\n \"item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId =\",\n \"健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str\",\n \"self.Metric = params.get(\\\"Metric\\\") self.Region = params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。\",\n \"= None self.Threads = None self.SqlExecId = None self.Product = None def _deserialize(self,\",\n \"self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if\",\n \"CynosDB for MySQL。 :type Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of\",\n \"None self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None\",\n \"__init__(self): r\\\"\\\"\\\" :param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type\",\n \"= params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId = None def _deserialize(self,\",\n \"ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail \\\"\\\"\\\"\",\n \"self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def\",\n \"= None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \":type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体\",\n \"self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if\",\n \"= params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product =\",\n \":param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中；\",\n \"self.EventId = None self.DiagType = None self.StartTime = None self.EndTime = None self.Outline\",\n \"核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param Volume: 硬盘存储，单位GB。\",\n \"class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo`\",\n \":type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":type Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param\",\n \":param User: 线程的操作账号名，用于筛选线程列表。 :type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param\",\n \"params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"\\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def _deserialize(self, params):\",\n \"int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit:\",\n \"StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str\",\n \":type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceTableTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"[] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \":type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type\",\n \"\\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count = None def _deserialize(self, params):\",\n \":param Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel):\",\n \"params): if params.get(\\\"TopSpaceSchemas\\\") is not None: self.TopSpaceSchemas = [] for item in params.get(\\\"TopSpaceSchemas\\\"):\",\n \":param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\"\",\n \"需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param\",\n \"None self.StartTime = None self.EndTime = None self.Outline = None self.Severity = None\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = [] for item in\",\n \"params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param Limit:\",\n \"self.RowsSentRatio = None self.QueryTimeAvg = None self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items =\",\n \"\\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime:\",\n \"self.SendMail = params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup\",\n \"str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" -\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.ID = None self.User = None self.Host\",\n \"None self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\")\",\n \"\\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries:\",\n \"= None self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。\",\n \"params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product:\",\n \"self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson = None self.ContactGroup\",\n \"GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagEventRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId =\",\n \"None self.ProfileInfo = None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\")\",\n \"self.InstanceName = None self.Vip = None self.Vport = None self.Product = None self.EngineVersion\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel):\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\")\",\n \"None self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求\",\n \"= [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount =\",\n \"InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set\",\n \"params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\")\",\n \"r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type\",\n \"TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。 :type Offset: int :param\",\n \"self.StartTime = None self.EndTime = None self.SortBy = None self.OrderBy = None self.Limit\",\n \"self.State = None self.Command = None self.Time = None self.Info = None self.Limit\",\n \"params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\")\",\n \"self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\"\",\n \":type IssueType: str :param Events: 异常事件。 :type Events: list of EventInfo :param TotalCount:\",\n \"ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost = None self.ScoreDetails =\",\n \"碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。\",\n \"self.TableSchema = None self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength\",\n \"DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int\",\n \"if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj\",\n \":param UserHost: 来源地址。 :type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param\",\n \"报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param\",\n \"- 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime\",\n \"self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params): self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\")\",\n \"class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list\",\n \"= None self.Vport = None self.Product = None self.EngineVersion = None def _deserialize(self,\",\n \":type RowsExaminedAvg: float :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None\",\n \"params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\")\",\n \"- 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type\",\n \"self.SqlExecId = params.get(\\\"SqlExecId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params):\",\n \"% \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTableTimeSeries\\\") is not None: self.TopSpaceTableTimeSeries =\",\n \"= [] for item in params.get(\\\"Rows\\\"): obj = SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId =\",\n \"DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemaTimeSeries: 返回的Top库空间统计信息的时序数据列表。 :type TopSpaceSchemaTimeSeries: list of\",\n \"obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel):\",\n \"int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount = None def _deserialize(self,\",\n \"\\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId = None\",\n \"= params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\")\",\n \"= None self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList =\",\n \"\\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str\",\n \"str :param EndTime: 结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str\",\n \":type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type\",\n \"class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported:\",\n \"self.Host = None self.DB = None self.State = None self.Command = None self.Time\",\n \"str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds:\",\n \":type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param EndTime:\",\n \"= params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip =\",\n \"in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"__init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId =\",\n \":param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体\",\n \"list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"\\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param\",\n \"obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs =\",\n \"MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime =\",\n \"self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name\",\n \"Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of SchemaItem\",\n \"self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\"\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str :param\",\n \":type ProfileName: str \\\"\\\"\\\" self.ProfileType = None self.Product = None self.Offset = None\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series:\",\n \"None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\")\",\n \"self.IssueType = params.get(\\\"IssueType\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not\",\n \"list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series\",\n \":type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\"\",\n \"governing permissions and # limitations under the License. import warnings from tencentcloud.common.abstract_model import\",\n \":type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type\",\n \"None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg = None\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self):\",\n \"str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str\",\n \":type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\")\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts = [] for item\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreItem(AbstractModel): \\\"\\\"\\\"诊断扣分项。 \\\"\\\"\\\" def\",\n \"self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId = None def\",\n \"= params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows =\",\n \"= params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for\",\n \"self.Timestamp = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not\",\n \"EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy:\",\n \"SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTables = None\",\n \"params.get(\\\"ScoreLost\\\") self.ScoreLostMax = params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for\",\n \":type Id: int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type\",\n \":type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"self.StartTime = None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup\",\n \"\\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"__init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type Names:\",\n \"= None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema =\",\n \"= None self.InstanceNames = None self.InstanceIds = None self.Regions = None def _deserialize(self,\",\n \"params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events = [] for item in params.get(\\\"Events\\\"):\",\n \"params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value\",\n \"class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名 :type TableSchema: str\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\")\",\n \"Product: str :param BindInstanceIds: 配置绑定的实例ID，当配置级别为\\\"Instance\\\"时需要传入且只能为一个实例；当配置级别为“User”时，此参数不填。 :type BindInstanceIds: list of str \\\"\\\"\\\" self.ProfileInfo =\",\n \":param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str :param\",\n \"= None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count =\",\n \"int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str\",\n \"for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param EventCount: 异常事件数量。 :type EventCount: int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param\",\n \":param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。\",\n \"str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType =\",\n \"= None self.EndTime = None self.Product = None self.Md5 = None def _deserialize(self,\",\n \":type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"self.ScoreLost = None self.ScoreLostMax = None self.Items = None def _deserialize(self, params): self.IssueType\",\n \"= None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceSchemas\\\") is not None:\",\n \"item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel):\",\n \"null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric = None self.Unit = None\",\n \"list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series\",\n \":param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param\",\n \"self.Stage = None self.Threads = None self.SqlExecId = None self.Product = None def\",\n \"in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for name, value\",\n \"None self.EndTime = None self.StartTime = None self.EventId = None self.Severity = None\",\n \"Id: int :param Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail:\",\n \"% \\\",\\\".join(memeber_set)) class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type\",\n \"null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product = None self.AsyncRequestIds = None self.Offset\",\n \"params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\")\",\n \":type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"= set(params.keys()) for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if\",\n \":type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。 :type\",\n \":type Status: str :param Progress: 任务执行进度。 :type Progress: int :param LogStartTime: 导出日志开始时间。 注意：此字段可能返回\",\n \"已完成。 :type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。\",\n \"KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list of\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\"\",\n \":param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param\",\n \"- 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.EventId\",\n \":class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None\",\n \"self.RowsSentAvg = None self.LockTimeAvg = None self.RowsExaminedAvg = None self.Md5 = None def\",\n \":param AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\"\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events = None self.RequestId = None def\",\n \"non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime = None self.CreateTime =\",\n \"= [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj) self.RequestId =\",\n \"= None self.TaskStatuses = None self.Offset = None self.Limit = None self.Product =\",\n \":param ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\"\",\n \":param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。 :type State: str :param\",\n \"self.ProfileName = None self.ProfileType = None self.Product = None self.BindInstanceIds = None def\",\n \"self.DiagType = None self.StartTime = None self.EndTime = None self.Outline = None self.Severity\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type InstanceId: str :param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region:\",\n \"int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str\",\n \"MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in\",\n \"in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def\",\n \"IssueType: str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count:\",\n \":param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。 :type Items:\",\n \"self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\"\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None\",\n \"SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str\",\n \"= TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\"))\",\n \"self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList = None self.Product\",\n \"= params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。\",\n \"Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported = None self.Product =\",\n \"= params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = []\",\n \"= params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name,\",\n \":type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0\",\n \"self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"Name: 联系人姓名。 :type Name: str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id\",\n \"None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None\",\n \"最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒\",\n \"= params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId =\",\n \"if params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product\",\n \"self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric = None self.Region\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"None self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language:\",\n \"[] for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\")\",\n \"邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param\",\n \"def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product\",\n \"- 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回\",\n \"CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def\",\n \"= params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product =\",\n \"DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of\",\n \"Tasks: 安全审计日志导出任务列表。 :type Tasks: list of SecLogExportTaskInfo :param TotalCount: 安全审计日志导出任务总数。 :type TotalCount: int\",\n \"= None self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration =\",\n \"params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries = [] for\",\n \"配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\"\",\n \"= params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time =\",\n \"str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for\",\n \"Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\\\"scheduler_\\\"+{instanceId}的规则。 :type ProfileName: str \\\"\\\"\\\" self.ProfileType\",\n \"任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param\",\n \"params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product:\",\n \"异常事件。 :type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\"\",\n \"= params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set =\",\n \"is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask()\",\n \"SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"self.SqlText = None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio\",\n \"= params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio =\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId = None\",\n \"该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count =\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"= None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total =\",\n \"EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \":param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C\",\n \"= None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source =\",\n \"self.IssueTypes = [] for item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount\",\n \"params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\")\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称\",\n \"Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Stage = None self.Threads = None self.SqlExecId\",\n \"TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength: 索引空间（MB）。 :type IndexLength:\",\n \":param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str :param\",\n \"def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources\",\n \"self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate = None self.EndDate\",\n \"RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate: sql模板 :type SqlTemplate:\",\n \"DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int :param\",\n \"SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。\",\n \"class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`\",\n \"None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj)\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMySqlProcessListResponse(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProcessList:\",\n \"= None self.TableSchema = None self.Engine = None self.SeriesData = None def _deserialize(self,\",\n \":type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type\",\n \"str :param SendMailFlag: 是否发送邮件: 0 - 否，1 - 是。 :type SendMailFlag: int :param\",\n \"异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" -\",\n \"str :param EndTime: 结束时间。 :type EndTime: str :param Outline: 概要。 :type Outline: str\",\n \"str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type\",\n \":param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails:\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"DiagItem: str :param InstanceId: 实例 ID 。 :type InstanceId: str :param Metric: 保留字段。\",\n \"class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 联系人的总数量。 :type TotalCount: int\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Time = params.get(\\\"Time\\\") self.Product\",\n \"Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices =\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\"\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\"\",\n \"int \\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime = None self.EndTime =\",\n \"Severity: int :param ScoreLost: 扣分。 :type ScoreLost: int :param Metric: 保留字段。 :type Metric:\",\n \"str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type Status: int\",\n \"null，表示取不到有效值。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableSchema = None self.DataLength = None self.IndexLength =\",\n \"params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\")\",\n \":type DiagType: str :param EventId: 事件 ID 。 :type EventId: int :param Explanation:\",\n \"self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes =\",\n \"ScoreLost: int :param ScoreLostMax: 扣分总分上限。 :type ScoreLostMax: int :param Items: 扣分项列表。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\"\",\n \"= None self.Problem = None self.Severity = None self.StartTime = None self.Suggestions =\",\n \"= None self.ProfileLevel = None self.ProfileName = None self.ProfileInfo = None def _deserialize(self,\",\n \":type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema = None self.Engine = None\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self,\",\n \"12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"= None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None:\",\n \"\\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries:\",\n \":type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for name,\",\n \":param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined 等排序键，默认为QueryTime。 :type SortBy: str :param OrderBy: 排序方式，支持ASC（升序）以及DESC（降序），默认为DESC。 :type OrderBy:\",\n \"def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp:\",\n \"for the specific language governing permissions and # limitations under the License. import\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId\",\n \"not None: self.Events = [] for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item)\",\n \"IssueTypeInfo(AbstractModel): \\\"\\\"\\\"指标信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 指标分类：AVAILABILITY：可用性，MAINTAINABILITY：可维护性，PERFORMANCE，性能，RELIABILITY可靠性。 :type IssueType: str :param\",\n \"Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip:\",\n \":type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。\",\n \"时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \"% \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel): \\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type\",\n \"int \\\"\\\"\\\" self.Count = None self.Timestamp = None def _deserialize(self, params): self.Count =\",\n \"= None self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength =\",\n \"Limit: int :param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList:\",\n \"self.Items = [] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId\",\n \"CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"self.InstanceId = None self.StartTime = None self.EndTime = None self.Product = None def\",\n \"vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are\",\n \"= params.get(\\\"DataFree\\\") self.TotalLength = params.get(\\\"TotalLength\\\") self.FragRatio = params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize =\",\n \"否，1 - 是。 :type SendMailFlag: int :param ContactPerson: 接收邮件的联系人ID数组。 :type ContactPerson: list of\",\n \"item in params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set =\",\n \"- 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.StartTime\",\n \"class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list\",\n \"params.get(\\\"Limit\\\") self.InstanceNames = params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys())\",\n \"self.Limit = params.get(\\\"Limit\\\") self.SortBy = params.get(\\\"SortBy\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"__init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments:\",\n \"for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \":type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio: 总扫描行数占比，单位% :type\",\n \"int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId =\",\n \"= params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport =\",\n \"Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas =\",\n \"None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\") is not None: self.IssueTypes = [] for\",\n \":param ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\"\",\n \"def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime\",\n \"= None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay = params.get(\\\"OverviewDisplay\\\") memeber_set =\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"= params.get(\\\"EndDate\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str\",\n \"r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time:\",\n \"= params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"= None self.HealthScore = None self.HealthLevel = None def _deserialize(self, params): if params.get(\\\"IssueTypes\\\")\",\n \"异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param\",\n \"None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo\",\n \"实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime:\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class IssueTypeInfo(AbstractModel):\",\n \"list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Events\",\n \"params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys()) for name, value\",\n \":param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\"\",\n \"InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\"\",\n \"内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。\",\n \"= None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel =\",\n \"Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None self.StartTime\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage = params.get(\\\"Stage\\\") self.Threads = params.get(\\\"Threads\\\")\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime:\",\n \"__init__(self): r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User:\",\n \"not None: self.MailConfiguration = MailConfiguration() self.MailConfiguration._deserialize(params.get(\\\"MailConfiguration\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"_deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel):\",\n \"class KillMySqlThreadsResponse(AbstractModel): \\\"\\\"\\\"KillMySqlThreads返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Threads: kill完成的sql会话ID列表。 :type Threads: list\",\n \"% \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。 :type\",\n \"Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"None self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo = params.get(\\\"ContactInfo\\\")\",\n \"is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value\",\n \"def __init__(self): r\\\"\\\"\\\" :param Name: 联系人姓名，由中英文、数字、空格、!@#$%^&*()_+-=（）组成，不能以下划线开头，长度在20以内。 :type Name: str :param ContactInfo: 邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。\",\n \"self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status\",\n \"- 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" -\",\n \":type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount = None self.RequestId = None\",\n \"None self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\")\",\n \"None self.AsyncRequestId = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5: SOL模板的MD5值 :type Md5: str\",\n \"None self.Vip = None self.Vport = None self.Source = None self.GroupId = None\",\n \"str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText =\",\n \":param Cpu: 核心数。 :type Cpu: int :param Memory: 内存，单位MB。 :type Memory: int :param\",\n \"= params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag =\",\n \"FragRatio: float :param TableRows: 行数。 :type TableRows: int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize:\",\n \"in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体\",\n \"ProfileList: 邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回\",\n \"int \\\"\\\"\\\" self.SendMail = None self.Region = None self.HealthStatus = None self.ContactPerson =\",\n \"str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str\",\n \"= params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"SlowLogTopSqlItem() obj._deserialize(item) self.Rows.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type\",\n \"None self.Comments = None self.SqlText = None self.Schema = None self.Tables = None\",\n \"00:00:00。 :type StartTime: str :param EndTime: 导出日志结束时间，例如2020-12-28 01:00:00。 :type EndTime: str :param Product:\",\n \"self.LogStartTime = None self.LogEndTime = None self.TotalSize = None self.DangerLevels = None def\",\n \"\\\"\\\"\\\"DescribeDBDiagEvent请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio = params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\")\",\n \"Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\"\",\n \"_deserialize(self, params): self.Product = params.get(\\\"Product\\\") self.Names = params.get(\\\"Names\\\") memeber_set = set(params.keys()) for name,\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求 ID，可使用此 ID 查询异步任务的执行结果。 注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param\",\n \"EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName: 表名。\",\n \":param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of\",\n \"= None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount =\",\n \"if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"_deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host =\",\n \"% \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type\",\n \":param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param\",\n \"params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"= None self.Engine = None self.SeriesData = None def _deserialize(self, params): self.TableName =\",\n \"Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def __init__(self):\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self):\",\n \"实例名称。 :type InstanceName: str :param Vip: 实例内网IP。 :type Vip: str :param Vport: 实例内网Port。\",\n \"__init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求\",\n \"params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\")\",\n \"None self.AsyncRequestIds = None self.Offset = None self.Limit = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\" self.Id = None self.Name = None self.MemberCount = None def _deserialize(self, params):\",\n \"\\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes:\",\n \"配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。\",\n \"[] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \":class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type HealthStatus: :class:`tencentcloud.dbbrain.v20210527.models.HealthStatus` \\\"\\\"\\\" self.AsyncRequestId = None self.Source =\",\n \"params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= None self.Offset = None self.Limit = None self.Product = None def _deserialize(self,\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体\",\n \"= params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"str :param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.InstanceId = None self.StartTime =\",\n \"float :param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float\",\n \"= params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name,\",\n \"self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\") self.Outline = params.get(\\\"Outline\\\") self.Problem\",\n \"DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId\",\n \"self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set\",\n \"__init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries:\",\n \"Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"= params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item in\",\n \":param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param\",\n \":param QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param\",\n \"SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin =\",\n \"监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\" self.Series = None self.Timestamp = None\",\n \"None self.TaskStatuses = None self.Offset = None self.Limit = None self.Product = None\",\n \"\\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Language: 语言, 如\\\"zh\\\"。 :type Language: str :param\",\n \"= params.get(\\\"EndTime\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Sources = params.get(\\\"Sources\\\") self.HealthLevels = params.get(\\\"HealthLevels\\\") self.TaskStatuses =\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId = None def\",\n \"params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source = params.get(\\\"Source\\\")\",\n \"int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of TimeSlice :param SeriesData: 单位时间间隔内的实例 cpu\",\n \"RowsExamined: 总扫描行数 :type RowsExamined: int :param RowsExaminedMax: 最大扫描行数 :type RowsExaminedMax: int :param RowsExaminedMin:\",\n \"str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData\",\n \"str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。 :type HealthScore: int\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \":param MemberCount: 组成员数量。 :type MemberCount: int \\\"\\\"\\\" self.Id = None self.Name = None\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\"\",\n \"= None self.Progress = None self.LogStartTime = None self.LogEndTime = None self.TotalSize =\",\n \"SqlExecId: 执行ID，此参数用于Commit阶段。 :type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。\",\n \"int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括：\",\n \"= params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State =\",\n \"None self.ScoreLost = None self.ScoreLostMax = None self.Items = None def _deserialize(self, params):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。\",\n \":type ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost\",\n \"DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagReportTasksRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product:\",\n \"= None self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId =\",\n \"params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus =\",\n \"None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。\",\n \"None self.Source = None self.GroupId = None self.GroupName = None self.Status = None\",\n \"params.get(\\\"SendMail\\\") self.Region = params.get(\\\"Region\\\") self.HealthStatus = params.get(\\\"HealthStatus\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\")\",\n \":type TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows: list of\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。\",\n \"Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId\",\n \"SQL优化建议，可解析为JSON数组，无需优化时输出为空。 :type Advices: str :param Comments: SQL优化建议备注，可解析为String数组，无需优化时输出为空。 :type Comments: str :param SqlText: SQL语句。\",\n \":type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。 :type\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\"\",\n \"self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength: 总使用空间（MB）。\",\n \"= params.get(\\\"RowsSentMin\\\") self.ExecTimes = params.get(\\\"ExecTimes\\\") self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema =\",\n \"params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\")\",\n \"self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"= params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set =\",\n \":type Sources: list of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" -\",\n \"= None def _deserialize(self, params): self.ID = params.get(\\\"ID\\\") self.User = params.get(\\\"User\\\") self.Host =\",\n \"= None self.DataFree = None self.TotalLength = None self.FragRatio = None self.TableRows =\",\n \"\\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj)\",\n \"诊断概要。 :type Outline: str :param Problem: 诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\") is\",\n \"= ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfRequest(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf请求参数结构体 \\\"\\\"\\\"\",\n \"DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"RequestId: str \\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId\",\n \"TotalCount: int :param Rows: 慢日志 top sql 列表 :type Rows: list of SlowLogTopSqlItem\",\n \"= SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param InstanceName:\",\n \"__init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class CreateSchedulerMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\"\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = []\",\n \":type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime:\",\n \"params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item in params.get(\\\"SchemaList\\\"): obj =\",\n \"in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys())\",\n \"Remain: int :param Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays:\",\n \"MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for\",\n \"self.Vport = None self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId\",\n \"MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthStatus(AbstractModel):\",\n \"\\\"\\\"\\\"实例健康详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param HealthScore: 健康分数，满分100。 :type HealthScore: int :param HealthLevel:\",\n \"CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param\",\n \":param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 - 否，1 -\",\n \":param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"]。 :type HealthStatus: list of str :param\",\n \"non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int\",\n \":type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data\",\n \"self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\"\",\n \"= params.get(\\\"RequestId\\\") class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID\",\n \"= None self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses =\",\n \"obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def\",\n \"self.DataLength = None self.IndexLength = None self.DataFree = None self.TotalLength = None self.FragRatio\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData =\",\n \"params.get(\\\"Ratio\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\")\",\n \"EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport:\",\n \"self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\") self.RowsSentAvg = params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5\",\n \"float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float\",\n \"= None self.Product = None self.InstanceIds = None def _deserialize(self, params): if params.get(\\\"InstanceConfs\\\")\",\n \"AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused：\",\n \"= None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId =\",\n \"None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is not None: self.Series\",\n \":type AuditPolicyStatus: str :param AuditRunningStatus: 实例审计日志运行状态：normal： 运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\"\",\n \":type Groups: list of GroupItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"params.get(\\\"ScoreLostMax\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item in params.get(\\\"Items\\\"):\",\n \"self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\") self.EventCount = params.get(\\\"EventCount\\\")\",\n \"self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg\",\n \"self.BindInstanceId = None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if\",\n \"Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId\",\n \":param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float :param\",\n \"= None self.Contacts = None self.RequestId = None def _deserialize(self, params): self.TotalCount =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \"None self.AuditPolicyStatus = None self.AuditRunningStatus = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime =\",\n \":type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups = None self.RequestId = None\",\n \"云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页偏移量。 :type Offset: int\",\n \"QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent:\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str :param EventId:\",\n \"for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel): \\\"\\\"\\\"实例配置。 \\\"\\\"\\\" def __init__(self):\",\n \"ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list\",\n \"12:13:14。 :type StartTime: str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product:\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \":type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.ID = params.get(\\\"ID\\\") self.User\",\n \"= None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId =\",\n \":type InstanceId: str :param RangeDays: 时间段天数，截止日期为当日，默认为7天。 :type RangeDays: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。\",\n \"self.EndTime = None self.Product = None self.Md5 = None def _deserialize(self, params): self.InstanceId\",\n \":type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel):\",\n \"self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax = None self.RowsSentMin\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Items = None self.RequestId = None def _deserialize(self, params):\",\n \"int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product =\",\n \"params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions = params.get(\\\"Suggestions\\\")\",\n \"for item in params.get(\\\"Events\\\"): obj = DiagHistoryEventItem() obj._deserialize(item) self.Events.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"params.get(\\\"InstanceId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"\\\",\\\".join(memeber_set)) class SchemaItem(AbstractModel): \\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema:\",\n \"params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\")\",\n \"def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime\",\n \":param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件 ID 。 :type EventId:\",\n \"if params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj\",\n \"self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson\",\n \"= params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SortBy = params.get(\\\"SortBy\\\") self.OrderBy = params.get(\\\"OrderBy\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\"\",\n \"% \\\",\\\".join(memeber_set)) class GroupItem(AbstractModel): \\\"\\\"\\\"描述组信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 组id。 :type\",\n \"邮箱地址，支持大小写字母、数字、下划线及@字符， 不能以下划线开头，邮箱地址不可重复。 :type ContactInfo: str :param Product: 服务产品类型，固定值：\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.Name\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceConfs(AbstractModel):\",\n \"of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括：\",\n \":param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime:\",\n \"params.get(\\\"RequestId\\\") class CreateSecurityAuditLogExportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateSecurityAuditLogExportTask请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId:\",\n \"r\\\"\\\"\\\" :param ID: 线程ID。 :type ID: str :param User: 线程的操作账号名。 :type User: str\",\n \"Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param IndexLength:\",\n \"None self.Host = None self.DB = None self.State = None self.Command = None\",\n \":param ProfileInfo: 配置详情。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None\",\n \"for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.Time = None self.Product\",\n \"None self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\")\",\n \"= params.get(\\\"RowsSentAvg\\\") self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name = None self.Mail =\",\n \"def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"= params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"str \\\"\\\"\\\" self.StartTime = None self.EndTime = None self.InstanceIds = None self.Sources =\",\n \"params.get(\\\"InstanceConfs\\\") is not None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount\",\n \"ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type ContactGroup: list of int\",\n \"self.Time = params.get(\\\"Time\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"= None self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime =\",\n \"self.Schema = None def _deserialize(self, params): self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for\",\n \"warnings from tencentcloud.common.abstract_model import AbstractModel class AddUserContactRequest(AbstractModel): \\\"\\\"\\\"AddUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Growth = None self.Remain\",\n \"params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType:\",\n \":param EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type DiagType:\",\n \"self.Command = None self.Time = None self.Info = None def _deserialize(self, params): self.ID\",\n \"int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"= params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"= params.get(\\\"Region\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系组名称数组，支持模糊搜索。 :type\",\n \"IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str\",\n \"def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series: list of MonitorFloatMetric :param Timestamp:\",\n \"= None self.Schema = None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio =\",\n \"params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag = params.get(\\\"InitFlag\\\")\",\n \":param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql 列表 :type\",\n \":type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent: int :param RowsSentMax: 最大返回行数 :type\",\n \"is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\")\",\n \"- 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self):\",\n \"None self.Product = None self.AsyncRequestIds = None self.Offset = None self.Limit = None\",\n \"= None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\")\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProfileList = None\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"ContactPerson: 联系人id, 联系人/联系组不能都为空。 :type ContactPerson: list of int :param ContactGroup: 联系组id, 联系人/联系组不能都为空。 :type\",\n \"= params.get(\\\"RequestId\\\") class DescribeSlowLogUserHostStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceConfs: 实例配置，包括巡检、概览开关等。 :type InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。\",\n \"云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration\",\n \":param StartTime: 任务开始执行时间。 :type StartTime: str :param EndTime: 任务完成执行时间。 :type EndTime: str :param\",\n \"= None self.Product = None self.DangerLevels = None def _deserialize(self, params): self.SecAuditGroupId =\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type\",\n \"self.SortBy = None self.OrderBy = None self.Limit = None self.Offset = None self.SchemaList\",\n \"self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param AsyncRequestId: 健康报告相应的任务ID，可通过DescribeDBDiagReportTasks查询。\",\n \"self.EndTime = None self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId\",\n \"name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) > 0:\",\n \"开始时间。 :type StartTime: str :param EventId: 事件唯一ID 。 :type EventId: int :param Severity:\",\n \"self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") if params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails =\",\n \"DeployMode: cdb类型。 :type DeployMode: str :param InitFlag: cdb实例初始化标志：0：未初始化；1：已初始化。 :type InitFlag: int :param TaskStatus:\",\n \"总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of\",\n \":param TableSchema: 库名。 :type TableSchema: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param\",\n \"int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Id = None\",\n \"\\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。\",\n \"self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime\",\n \":type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type\",\n \"self.EndTime = None self.CreateTime = None self.Status = None self.Progress = None self.LogStartTime\",\n \"= None self.Offset = None self.Limit = None self.ProfileName = None def _deserialize(self,\",\n \"self.TotalCount = None self.Items = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \"\\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。 :type Series:\",\n \":type StartTime: str :param Suggestions: 诊断建议，若无建议则输出为空。 :type Suggestions: str :param Metric: 保留字段。 注意：此字段可能返回\",\n \"InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list of str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel = params.get(\\\"ProfileLevel\\\")\",\n \"self.Id = None self.Name = None self.MemberCount = None def _deserialize(self, params): self.Id\",\n \"InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list of str :param Sources: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" -\",\n \"self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name, value in\",\n \"params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"for name, value in vars(self).items(): if name in memeber_set: memeber_set.remove(name) if len(memeber_set) >\",\n \"= None self.HealthLevels = None self.TaskStatuses = None self.Offset = None self.Limit =\",\n \"RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes: 执行次数 :type ExecTimes: int :param SqlTemplate:\",\n \":type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param HealthStatus: 健康报告中的健康信息。 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") self.Limit\",\n \"WeekConfiguration: 取值范围1-7，分别代表周一至周日。 :type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo`\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data = None self.RequestId =\",\n \"InstanceInfo :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \":param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。 :type Name: str :param\",\n \"= params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric =\",\n \"r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None\",\n \"Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State:\",\n \"params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time = params.get(\\\"Time\\\") self.Info = params.get(\\\"Info\\\") memeber_set = set(params.keys())\",\n \"self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric\",\n \"int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId = None self.Product =\",\n \"params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置\",\n \"EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status:\",\n \":param Metric: 保留字段。 :type Metric: str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\"\",\n \"r\\\"\\\"\\\" :param Count: 总数 :type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int\",\n \"str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None def _deserialize(self,\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\") self.Time\",\n \"各来源地址的慢日志占比详情列表。 :type Items: list of SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeHealthScoreResponse(AbstractModel): \\\"\\\"\\\"DescribeHealthScore返回参数结构体\",\n \"定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" -\",\n \":type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` \\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Groups\\\") is not None: self.Groups = []\",\n \"_deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\")\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\")\",\n \"ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime: int :param RequestId:\",\n \"= None self.ScoreLost = None def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType =\",\n \":param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str\",\n \"实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName:\",\n \"params.get(\\\"FragRatio\\\") self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value\",\n \"License. # You may obtain a copy of the License at # #\",\n \"for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set\",\n \"RequestId: str \\\"\\\"\\\" self.ProfileList = None self.TotalCount = None self.RequestId = None def\",\n \"def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product = params.get(\\\"Product\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \"params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\")\",\n \"self.TableRows = params.get(\\\"TableRows\\\") self.PhysicalFileSize = params.get(\\\"PhysicalFileSize\\\") memeber_set = set(params.keys()) for name, value in\",\n \"执行ID， Prepare阶段的任务输出，用于Commit阶段中指定执行kill操作的会话ID。 注意：此字段可能返回 null，表示取不到有效值。 :type SqlExecId: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceData(AbstractModel): \\\"\\\"\\\"库表空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableName:\",\n \":param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str :param CreateTime: 任务创建时间。 :type CreateTime:\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type Growth: int :param Remain: 磁盘剩余(MB)。 :type\",\n \":type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type Id: int :param Name: 联系人姓名。\",\n \"\\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.SendMailFlag = None\",\n \"self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel): \\\"\\\"\\\"邮件发送配置 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem =\",\n \"None self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\")\",\n \"\\\"\\\"\\\"SchemaItem数组 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema\",\n \":param Engine: 库表的存储引擎。 :type Engine: str :param DataLength: 数据空间（MB）。 :type DataLength: float :param\",\n \"None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item) self.TopSpaceTableTimeSeries.append(obj)\",\n \"诊断出的问题。 :type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间\",\n \"self.StartTime = None self.Suggestions = None self.Metric = None self.EndTime = None self.RequestId\",\n \"Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。\",\n \"= params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount = params.get(\\\"MemberCount\\\") memeber_set = set(params.keys()) for name,\",\n \"任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime:\",\n \"None self.EngineVersion = None self.Vip = None self.Vport = None self.Source = None\",\n \"class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 实例总数。 :type TotalCount: int\",\n \"null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType =\",\n \"邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"params.get(\\\"Rows\\\") is not None: self.Rows = [] for item in params.get(\\\"Rows\\\"): obj =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask请求参数结构体\",\n \"int :param PhysicalFileSize: 表对应的独立物理文件大小（MB）。 :type PhysicalFileSize: float \\\"\\\"\\\" self.TableName = None self.TableSchema =\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId:\",\n \"r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list of TableSpaceData :param Timestamp: 采集表空间数据的时间戳（秒）。 :type\",\n \"TotalCount: int :param Tasks: 任务列表。 :type Tasks: list of HealthReportTask :param RequestId: 唯一请求\",\n \"self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values\",\n \"TableSchema: 库名 :type TableSchema: str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema\",\n \"self.Tasks = None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if\",\n \":type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param\",\n \"Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \"AsyncRequestIds: 日志导出任务Id列表，接口会忽略不存在或已删除的任务Id。 :type AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" -\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None self.RequestId\",\n \"None self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels = None\",\n \"TopSpaceTableTimeSeries: 返回的Top表空间统计信息的时序数据列表。 :type TopSpaceTableTimeSeries: list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \"% \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。 :type\",\n \"params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self,\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.AsyncRequestId =\",\n \"= None self.QueryTimeRatio = None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio =\",\n \"obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"Total: 磁盘总量(MB)。 :type Total: int :param AvailableDays: 预计可用天数。 :type AvailableDays: int :param RequestId:\",\n \"= params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":param TaskStatus: 任务状态。 :type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.StartTime = None self.EndTime\",\n \"self.FragRatio = None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName\",\n \"Metric: str :param Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。\",\n \":type WeekConfiguration: list of int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName:\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls = None self.RequestId = None\",\n \"MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId = None self.AsyncRequestId = None self.Product =\",\n \"None self.Source = None self.Progress = None self.CreateTime = None self.StartTime = None\",\n \"数据库版本。 :type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。\",\n \"self.SqlExecId = None self.RequestId = None def _deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId\",\n \":param TotalLength: 总使用空间（MB）。 :type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param\",\n \"params.get(\\\"Suggestions\\\") self.Metric = params.get(\\\"Metric\\\") self.EndTime = params.get(\\\"EndTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体\",\n \"params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData = MonitorMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys())\",\n \"= None self.EndTime = None self.SendMailFlag = None self.ContactPerson = None self.ContactGroup =\",\n \"= None self.Product = None self.Offset = None self.Limit = None self.ProfileName =\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDiagDBInstancesResponse(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances返回参数结构体 \\\"\\\"\\\"\",\n \":type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type\",\n \":type UserHost: str :param Ratio: 该来源地址的慢日志数目占总数目的比例，单位%。 :type Ratio: float :param Count: 该来源地址的慢日志数目。 :type\",\n \"params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"Timestamp: 采集表空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"params.get(\\\"ScoreDetails\\\") is not None: self.ScoreDetails = [] for item in params.get(\\\"ScoreDetails\\\"): obj =\",\n \"None self.TableSchema = None self.Engine = None self.SeriesData = None def _deserialize(self, params):\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体\",\n \":param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL，\",\n \":param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库\",\n \"None self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions = None\",\n \"None self.RequestId = None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is\",\n \"Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type\",\n \"\\\"\\\"\\\" self.InstanceId = None self.StartTime = None self.EndTime = None self.Product = None\",\n \"in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys())\",\n \"r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\"\",\n \"None self.ContactPerson = None self.ContactGroup = None self.Product = None def _deserialize(self, params):\",\n \"ProfileId: 配置的id。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileId: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" -\",\n \":param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list of float \\\"\\\"\\\" self.Metric =\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit:\",\n \":type SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys())\",\n \"int :param Source: 接入来源。 :type Source: str :param GroupId: 分组ID。 :type GroupId: str\",\n \"float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float :param RowsExaminedAvg: 平均扫描行数 :type RowsExaminedAvg: float\",\n \"StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type EndTime: str :param SendMailFlag: 是否发送邮件: 0 -\",\n \"str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str\",\n \":type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务请求 ID。 :type AsyncRequestId: int :param Source:\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.ProcessList = None self.RequestId = None def\",\n \"None self.Product = None self.Offset = None self.Limit = None self.ProfileName = None\",\n \"self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type EndTime: str\",\n \"= None self.Product = None self.EngineVersion = None def _deserialize(self, params): self.InstanceId =\",\n \":param Period: 柱间单位时间间隔，单位为秒。 :type Period: int :param TimeSeries: 单位时间间隔内慢日志数量统计。 :type TimeSeries: list of\",\n \"self.DiagType = params.get(\\\"DiagType\\\") self.EndTime = params.get(\\\"EndTime\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity\",\n \"\\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate = None\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel):\",\n \"% \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"分页参数，偏移量。 :type Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。\",\n \"params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric:\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel):\",\n \"\\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名。 :type TableSchema: str :param DataLength:\",\n \"概要。 :type Outline: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param ScoreLost: 扣分。\",\n \"实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId =\",\n \"Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit:\",\n \"库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema =\",\n \"str :param Threads: 需要kill的sql会话ID列表，此参数用于Prepare阶段。 :type Threads: list of int :param SqlExecId: 执行ID，此参数用于Commit阶段。 :type\",\n \"params.get(\\\"TotalCount\\\") if params.get(\\\"Items\\\") is not None: self.Items = [] for item in params.get(\\\"Items\\\"):\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceData(AbstractModel): \\\"\\\"\\\"库空间统计数据。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost:\",\n \"self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") if params.get(\\\"ProfileInfo\\\") is not\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\") self.InitFlag\",\n \"r\\\"\\\"\\\" :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" -\",\n \"_deserialize(self, params): self.Threads = params.get(\\\"Threads\\\") self.SqlExecId = params.get(\\\"SqlExecId\\\") self.RequestId = params.get(\\\"RequestId\\\") class MailConfiguration(AbstractModel):\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ModifyDiagDBInstanceConfResponse(AbstractModel): \\\"\\\"\\\"ModifyDiagDBInstanceConf返回参数结构体\",\n \"class DescribeAllUserGroupRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str\",\n \"Offset: int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames:\",\n \"- 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Md5:\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem\",\n \"None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Vip = params.get(\\\"Vip\\\")\",\n \"params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys())\",\n \"item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel):\",\n \"list of TableSpaceTimeSeries :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries\",\n \"\\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region = None self.HealthScore = None\",\n \"params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"self.DiagItem = None self.InstanceId = None self.Metric = None self.Region = None def\",\n \"= None self.Source = None self.Progress = None self.CreateTime = None self.StartTime =\",\n \"= None self.Regions = None def _deserialize(self, params): self.IsSupported = params.get(\\\"IsSupported\\\") self.Product =\",\n \"self.InstanceInfo = None self.HealthStatus = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Source\",\n \":param Offset: 偏移量，默认为0。 :type Offset: int :param SchemaList: 数据库名称数组。 :type SchemaList: list of\",\n \"= params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name,\",\n \":param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1\",\n \"for item in params.get(\\\"TopSpaceSchemas\\\"): obj = SchemaSpaceData() obj._deserialize(item) self.TopSpaceSchemas.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileList: 邮件配置详情。\",\n \":type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData = None\",\n \"None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params): if params.get(\\\"Events\\\") is not None: self.Events = [] for item in params.get(\\\"Events\\\"):\",\n \"self.SqlTemplate = params.get(\\\"SqlTemplate\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") self.QueryTimeRatio = params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio\",\n \"线程的操作时长，单位秒。 :type Time: str :param Info: 线程的操作语句。 :type Info: str \\\"\\\"\\\" self.ID =\",\n \"def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type\",\n \"is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo()\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\"\",\n \"None self.Severity = None self.ScoreLost = None self.Metric = None self.Count = None\",\n \":type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"+ {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product:\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体\",\n \":type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Contacts = None self.RequestId = None def _deserialize(self, params):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param LockTime: sql总锁等待时间，单位秒\",\n \"None self.Product = None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\")\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthReportTask(AbstractModel): \\\"\\\"\\\"健康报告任务详情。\",\n \":type TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type\",\n \"not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj = SchemaSpaceTimeSeries() obj._deserialize(item)\",\n \"None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。 :type Time: int :param Info: 线程的操作语句，用于筛选线程列表。 :type\",\n \"str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-11 12:13:14”，结束时间与开始时间的间隔最大可为2天。 :type\",\n \"线程的操作语句，用于筛选线程列表。 :type Info: str :param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\"\",\n \"None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"= params.get(\\\"Vport\\\") self.Product = params.get(\\\"Product\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") memeber_set = set(params.keys()) for name,\",\n \"= None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None:\",\n \"params.get(\\\"Metric\\\") self.Unit = params.get(\\\"Unit\\\") self.Values = params.get(\\\"Values\\\") memeber_set = set(params.keys()) for name, value\",\n \"int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type\",\n \"is not None: self.Groups = [] for item in params.get(\\\"Groups\\\"): obj = GroupItem()\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"self.Metric = None self.Count = None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType\",\n \"= None self.ScoreLost = None self.ScoreLostMax = None self.Items = None def _deserialize(self,\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit =\",\n \"r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks: 任务列表。 :type Tasks: list\",\n \"self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys())\",\n \":param CreateTime: 任务创建时间。 :type CreateTime: str :param StartTime: 任务开始执行时间。 :type StartTime: str :param\",\n \"is not None: self.TopSpaceTables = [] for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData()\",\n \"ProfileName: 配置名称，需要保持唯一性，数据库巡检邮件配置名称自拟；定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type ProfileName: str :param ProfileType: 配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" -\",\n \"not None: self.ProfileList = [] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item)\",\n \"str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0\",\n \"self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class MonitorFloatMetric(AbstractModel): \\\"\\\"\\\"监控数据（浮点型） \\\"\\\"\\\"\",\n \"\\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserGroupResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserGroup返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 组总数。\",\n \"QueryTimeRatio: 总耗时占比，单位% :type QueryTimeRatio: float :param LockTimeRatio: sql总锁等待时间占比，单位% :type LockTimeRatio: float :param RowsExaminedRatio:\",\n \"健康等级，取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\"- 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevel: str :param ScoreLost:\",\n \"EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events =\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Tasks = None self.TotalCount =\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。\",\n \"params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type LogEndTime: str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int\",\n \"params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\")\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel):\",\n \"str :param TableSchema: 库名。 :type TableSchema: str :param Engine: 库表的存储引擎。 :type Engine: str\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeMailProfileResponse(AbstractModel): \\\"\\\"\\\"DescribeMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务的请求\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.ReportUrl = None self.ExpireTime = None self.RequestId =\",\n \":param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId: int :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None self.IssueType = None self.TopSeverity = None\",\n \"self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set\",\n \"InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\"\",\n \"str :param ID: 线程的ID，用于筛选线程列表。 :type ID: int :param User: 线程的操作账号名，用于筛选线程列表。 :type User: str\",\n \"obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set =\",\n \"self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product\",\n \"self.TaskStatuses = None self.Offset = None self.Limit = None self.Product = None def\",\n \":param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime:\",\n \"= None def _deserialize(self, params): self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.InstanceIds =\",\n \"for item in params.get(\\\"TimeSeries\\\"): obj = TimeSlice() obj._deserialize(item) self.TimeSeries.append(obj) if params.get(\\\"SeriesData\\\") is not\",\n \":type TotalLength: float :param FragRatio: 碎片率（%）。 :type FragRatio: float :param TableRows: 行数。 :type\",\n \"self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for item\",\n \"of IssueTypeInfo :param EventsTotalCount: 异常事件总数。 :type EventsTotalCount: int :param HealthScore: 健康得分。 :type HealthScore:\",\n \"self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj = MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId\",\n \"SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId\",\n \":param EngineVersion: 实例引擎版本。 :type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None\",\n \"\\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \":param Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables\",\n \"int :param ProfileInfo: 邮件配置内容。 :type ProfileInfo: :class:`tencentcloud.dbbrain.v20210527.models.ProfileInfo` :param ProfileName: 配置名称，需要保持唯一性，定期生成邮件配置命名格式：\\\"scheduler_\\\" + {instanceId}，如\\\"schduler_cdb-test\\\"。 :type\",\n \"def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows =\",\n \"= params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport = params.get(\\\"Vport\\\") self.Source =\",\n \"\\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount: int :param Tasks:\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"_deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") self.DbScanStatus = params.get(\\\"DbScanStatus\\\") if params.get(\\\"Items\\\") is not None:\",\n \"self.AsyncRequestIds = None self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"运行中； paused： 欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None\",\n \"Vport: 内网端口。 :type Vport: int :param Source: 接入来源。 :type Source: str :param GroupId:\",\n \"\\\"\\\"\\\" self.ProfileId = None self.ProfileType = None self.ProfileLevel = None self.ProfileName = None\",\n \"None self.RequestId = None def _deserialize(self, params): self.Growth = params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\")\",\n \"int :param RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float\",\n \":type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" -\",\n \"DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param\",\n \"线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type DB: str :param State: 线程的操作状态，用于筛选线程列表。\",\n \"\\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls:\",\n \"None def _deserialize(self, params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Contacts\\\") is not None: self.Contacts\",\n \"params.get(\\\"Growth\\\") self.Remain = params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"None self.Name = None self.Mail = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\")\",\n \"params): self.TotalCount = params.get(\\\"TotalCount\\\") if params.get(\\\"Rows\\\") is not None: self.Rows = [] for\",\n \"params.get(\\\"AsyncRequestId\\\") self.Source = params.get(\\\"Source\\\") self.Progress = params.get(\\\"Progress\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"= None self.Tasks = None self.RequestId = None def _deserialize(self, params): self.TotalCount =\",\n \"SendMail: 是否开启邮件发送: 0, 否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\",\",\n \"self.EndTime = None self.InstanceIds = None self.Sources = None self.HealthLevels = None self.TaskStatuses\",\n \"StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product:\",\n \"QueryTimeMax: float :param QueryTimeMin: 最小执行时间，单位秒 :type QueryTimeMin: float :param RowsSent: 总返回行数 :type RowsSent:\",\n \"None self.ProfileType = None self.Product = None self.BindInstanceIds = None def _deserialize(self, params):\",\n \"not None: self.TopSpaceTableTimeSeries = [] for item in params.get(\\\"TopSpaceTableTimeSeries\\\"): obj = TableSpaceTimeSeries() obj._deserialize(item)\",\n \"Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None self.LockTimeMin = None self.RowsExamined\",\n \"= params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") self.Metric = params.get(\\\"Metric\\\") self.Count =\",\n \"self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class HealthScoreInfo(AbstractModel): \\\"\\\"\\\"获取健康得分返回的详情。\",\n \"str :param SeriesData: 单位时间间隔内的空间指标数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData =\",\n \"= None self.Outline = None self.DiagItem = None self.InstanceId = None self.Metric =\",\n \":param Md5: SOL模板的MD5值 :type Md5: str \\\"\\\"\\\" self.LockTime = None self.LockTimeMax = None\",\n \"params.get(\\\"Product\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= None self.Sources = None self.HealthLevels = None self.TaskStatuses = None self.Offset =\",\n \"params.get(\\\"TopSpaceSchemaTimeSeries\\\") is not None: self.TopSpaceSchemaTimeSeries = [] for item in params.get(\\\"TopSpaceSchemaTimeSeries\\\"): obj =\",\n \"str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str\",\n \"item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel):\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\"\",\n \"not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product\",\n \"= None self.Time = None self.Product = None def _deserialize(self, params): self.InstanceId =\",\n \"= None self.TaskStatus = None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime =\",\n \"InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product =\",\n \"Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \":type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type\",\n \"Volume: 硬盘存储，单位GB。 :type Volume: int :param EngineVersion: 数据库版本。 :type EngineVersion: str :param Vip:\",\n \"Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param Product:\",\n \"SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate:\",\n \"= params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"self.RowsExaminedMax = None self.RowsExaminedMin = None self.QueryTime = None self.QueryTimeMax = None self.QueryTimeMin\",\n \"in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore = params.get(\\\"HealthScore\\\")\",\n \"\\\"\\\"\\\" self.InstanceId = None self.RangeDays = None self.Product = None def _deserialize(self, params):\",\n \"self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported = params.get(\\\"IsSupported\\\") self.SecAuditStatus = params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\")\",\n \"def _deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events = [] for item\",\n \"r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Groups =\",\n \"params.get(\\\"Limit\\\") self.Offset = params.get(\\\"Offset\\\") if params.get(\\\"SchemaList\\\") is not None: self.SchemaList = [] for\",\n \":type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type\",\n \"RequestId: str \\\"\\\"\\\" self.RequestId = None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"self.HealthScore = None self.Product = None self.EventCount = None self.InstanceType = None self.Cpu\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries =\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。 \\\"\\\"\\\" def\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTableTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTableTimeSeries返回参数结构体\",\n \":param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime = None\",\n \"params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"= params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 =\",\n \"None self.ContactGroup = None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库\",\n \"None self.HealthStatus = None self.ContactPerson = None self.ContactGroup = None def _deserialize(self, params):\",\n \"None def _deserialize(self, params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"params): self.DiagItem = params.get(\\\"DiagItem\\\") self.DiagType = params.get(\\\"DiagType\\\") self.EventId = params.get(\\\"EventId\\\") self.Explanation = params.get(\\\"Explanation\\\")\",\n \"None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\")\",\n \"= None self.Unit = None self.Values = None def _deserialize(self, params): self.Metric =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据\",\n \"None self.Memory = None self.Volume = None self.EngineVersion = None self.Vip = None\",\n \"RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp = None self.RequestId = None def\",\n \"class DescribeSlowLogTimeSeriesStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Period: 柱间单位时间间隔，单位为秒。 :type Period: int\",\n \"= [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId =\",\n \"= params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel): \\\"\\\"\\\"DescribeDiagDBInstances请求参数结构体 \\\"\\\"\\\" def\",\n \"str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy:\",\n \"= None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail =\",\n \"= None self.Values = None def _deserialize(self, params): self.Metric = params.get(\\\"Metric\\\") self.Unit =\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str :param Offset: 分页参数，偏移量。\",\n \"str \\\"\\\"\\\" self.Data = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Data\\\")\",\n \"self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds = params.get(\\\"BindInstanceIds\\\") memeber_set = set(params.keys()) for\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem = None self.DiagType =\",\n \"str :param Count: 告警数目。 :type Count: int \\\"\\\"\\\" self.EventId = None self.DiagType =\",\n \"IsSupported: bool :param SecAuditStatus: 实例安全审计日志开启状态：ON： 安全审计开启；OFF： 未开启安全审计。 :type SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT：\",\n \"云数据库 MySQL。 :type Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type AsyncRequestId: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \":type GroupId: str :param GroupName: 分组组名。 :type GroupName: str :param Status: 实例状态：0：发货中；1：运行正常；4：销毁中；5：隔离中。 :type\",\n \"class DescribeSlowLogTopSqlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \":type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime: str :param EndTime: 结束时间，如“2020-11-09T14:00:00+08:00”。 :type\",\n \"self.HealthLevel = None self.ScoreLost = None self.ScoreDetails = None def _deserialize(self, params): self.HealthScore\",\n \"实例 ID 。 :type InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param\",\n \"str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type\",\n \":type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。 :type Timestamp: int :param RequestId:\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。\",\n \"str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str\",\n \"= None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel):\",\n \"安全审计组Id。 :type SecAuditGroupId: str :param StartTime: 导出日志开始时间，例如2020-12-28 00:00:00。 :type StartTime: str :param EndTime:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TimeSlice(AbstractModel): \\\"\\\"\\\"单位时间间隔内的慢日志统计 \\\"\\\"\\\" def\",\n \"str :param TopSeverity: 健康等级，取值包括：信息、提示、告警、严重、致命。 :type TopSeverity: str :param Count: 该异常诊断项出现次数。 :type Count: int\",\n \"self.TotalCount = None self.Rows = None self.RequestId = None def _deserialize(self, params): self.TotalCount\",\n \":type Events: list of EventInfo :param TotalCount: 异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType\",\n \"str :param Region: 地域。 :type Region: str \\\"\\\"\\\" self.DiagType = None self.EndTime =\",\n \"IndexLength: 索引空间（MB）。 :type IndexLength: float :param DataFree: 碎片空间（MB）。 :type DataFree: float :param TotalLength:\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def\",\n \":param TotalCount: 联系人的总数量。 :type TotalCount: int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts:\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBDiagHistoryRequest(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例\",\n \"\\\"\\\"\\\" self.AsyncRequestId = None self.RequestId = None def _deserialize(self, params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\")\",\n \"Series: list of MonitorFloatMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\"\",\n \"= [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj) self.RequestId =\",\n \"self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost = params.get(\\\"UserHost\\\") self.Ratio\",\n \"None def _deserialize(self, params): if params.get(\\\"TopSpaceTables\\\") is not None: self.TopSpaceTables = [] for\",\n \"DiagType: str :param EventId: 事件 ID 。 :type EventId: int :param Explanation: 诊断事件详情，若无附加解释信息则输出为空。\",\n \"self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product\",\n \"__init__(self): r\\\"\\\"\\\" :param IsSupported: 是否是DBbrain支持的实例，固定传 true。 :type IsSupported: bool :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax\",\n \"params.get(\\\"InstanceId\\\") self.EventId = params.get(\\\"EventId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"item in params.get(\\\"IssueTypes\\\"): obj = IssueTypeInfo() obj._deserialize(item) self.IssueTypes.append(obj) self.EventsTotalCount = params.get(\\\"EventsTotalCount\\\") self.HealthScore =\",\n \"唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Rows = None\",\n \"Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. #\",\n \"params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\")\",\n \"= [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp =\",\n \"Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Data =\",\n \"= params.get(\\\"Info\\\") self.Limit = params.get(\\\"Limit\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Urls =\",\n \"params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\") class CreateMailProfileRequest(AbstractModel): \\\"\\\"\\\"CreateMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names: list of str \\\"\\\"\\\"\",\n \"无风险；1 低风险；2 中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\"\",\n \"int :param Contacts: 联系人的信息。 注意：此字段可能返回 null，表示取不到有效值。 :type Contacts: list of ContactItem :param RequestId:\",\n \"\\\"cynosdb\\\" - 云数据库 CynosDB for MySQL。 :type Product: str :param InstanceIds: 指定更改巡检状态的实例ID。 :type\",\n \"self.TableName = None self.TableSchema = None self.Engine = None self.DataLength = None self.IndexLength\",\n \"of str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。\",\n \"for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"of int non-negative :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type\",\n \"class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type\",\n \"float :param RowsSentAvg: 平均返回行数 :type RowsSentAvg: float :param LockTimeAvg: 平均锁等待时间，单位秒 :type LockTimeAvg: float\",\n \"None self.SqlText = None self.Schema = None self.Tables = None self.SqlPlan = None\",\n \"导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId:\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"实例 ID 。 :type InstanceId: str :param EventId: 事件 ID 。通过“获取实例诊断历史DescribeDBDiagHistory”获取。 :type EventId:\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type EndTime: str\",\n \":type User: str :param Host: 线程的操作主机地址，用于筛选线程列表。 :type Host: str :param DB: 线程的操作数据库，用于筛选线程列表。 :type\",\n \"params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。\",\n \"= params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Id: 联系人id。 :type\",\n \":type InstanceId: str :param SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type\",\n \"int :param InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int\",\n \"DangerLevels: list of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime =\",\n \"事件唯一ID 。 :type EventId: int :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline:\",\n \"if params.get(\\\"InstanceConf\\\") is not None: self.InstanceConf = InstanceConfs() self.InstanceConf._deserialize(params.get(\\\"InstanceConf\\\")) self.DeadlineTime = params.get(\\\"DeadlineTime\\\") self.IsSupported\",\n \"int :param Limit: 分页参数，分页值，最大值为100。 :type Limit: int :param InstanceNames: 根据实例名称条件查询。 :type InstanceNames: list\",\n \"self.RequestId = params.get(\\\"RequestId\\\") class CreateDBDiagReportUrlRequest(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。\",\n \"线程的操作状态，用于筛选线程列表。 :type State: str :param Command: 线程的执行类型，用于筛选线程列表。 :type Command: str :param Time: 线程的操作时长最小值，单位秒，用于筛选操作时长大于该值的线程列表。\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"int :param SortBy: 筛选Top库所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。\",\n \"def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined\",\n \"null，表示取不到有效值。 :type ProfileLevel: str :param ProfileName: 配置名称。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileName: str :param\",\n \"params.get(\\\"InstanceNames\\\") self.InstanceIds = params.get(\\\"InstanceIds\\\") self.Regions = params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value\",\n \"str \\\"\\\"\\\" self.TopSpaceTables = None self.Timestamp = None self.RequestId = None def _deserialize(self,\",\n \"cpu 利用率监控数据。 :type SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId = None self.StartTime = None self.EndTime\",\n \"None self.RequestId = None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks\",\n \"SlowLogHost :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \"None def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for\",\n \"__init__(self): r\\\"\\\"\\\" :param TopSpaceSchemas: 返回的Top库空间统计信息列表。 :type TopSpaceSchemas: list of SchemaSpaceData :param Timestamp: 采集库空间数据的时间戳（秒）。\",\n \"RowsExaminedMin: 最小扫描行数 :type RowsExaminedMin: int :param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax:\",\n \"def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。 :type Events: list of DiagHistoryEventItem :param RequestId:\",\n \"DbScanStatus: int :param Items: 实例相关信息。 :type Items: list of InstanceInfo :param RequestId: 唯一请求\",\n \"Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of int \\\"\\\"\\\"\",\n \"str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration =\",\n \"= params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.Product = params.get(\\\"Product\\\") self.BindInstanceIds =\",\n \"= None self.LockTimeRatio = None self.RowsExaminedRatio = None self.RowsSentRatio = None self.QueryTimeAvg =\",\n \"= params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"of int \\\"\\\"\\\" self.SecAuditGroupId = None self.StartTime = None self.EndTime = None self.Product\",\n \"for item in params.get(\\\"TopSpaceTables\\\"): obj = TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId\",\n \"None self.Severity = None self.Outline = None self.DiagItem = None self.InstanceId = None\",\n \"__init__(self): r\\\"\\\"\\\" :param TotalCount: 符合条件的记录总数。 :type TotalCount: int :param Rows: 慢日志 top sql\",\n \"= None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Stage =\",\n \":type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ScoreDetails: list of ScoreDetail\",\n \"Command: 线程的执行类型。 :type Command: str :param Time: 线程的操作时长，单位秒。 :type Time: str :param Info:\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for\",\n \"StartTime: 任务开始时间。 注意：此字段可能返回 null，表示取不到有效值。 :type StartTime: str :param EndTime: 任务结束时间。 注意：此字段可能返回 null，表示取不到有效值。 :type\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class AddUserContactResponse(AbstractModel): \\\"\\\"\\\"AddUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count = params.get(\\\"Count\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\") memeber_set = set(params.keys())\",\n \"Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost:\",\n \"params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"def __init__(self): r\\\"\\\"\\\" :param StartTime: 第一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10\",\n \"params.get(\\\"QueryTimeRatio\\\") self.LockTimeRatio = params.get(\\\"LockTimeRatio\\\") self.RowsExaminedRatio = params.get(\\\"RowsExaminedRatio\\\") self.RowsSentRatio = params.get(\\\"RowsSentRatio\\\") self.QueryTimeAvg = params.get(\\\"QueryTimeAvg\\\")\",\n \"params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"ScoreDetails: list of ScoreDetail \\\"\\\"\\\" self.HealthScore = None self.HealthLevel = None self.ScoreLost =\",\n \"= None def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText =\",\n \"实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore: 健康得分。\",\n \"Count: 该来源地址的慢日志数目。 :type Count: int \\\"\\\"\\\" self.UserHost = None self.Ratio = None self.Count\",\n \"self.Data = HealthScoreInfo() self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"= None self.Limit = None self.ProfileName = None def _deserialize(self, params): self.ProfileType =\",\n \"QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param QueryTimeMin:\",\n \":type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestId = None self.Product = None\",\n \"self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.MemberCount\",\n \"= None self.Memory = None self.Volume = None self.EngineVersion = None self.Vip =\",\n \"\\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例 ID 。 :type InstanceId: str\",\n \"亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type HealthLevels: str :param TaskStatuses: 任务的状态，支持的取值包括：\\\"created\\\" - 新建；\\\"chosen\\\"\",\n \"str :param InstanceIds: 根据实例ID条件查询。 :type InstanceIds: list of str :param Regions: 根据地域条件查询。 :type\",\n \"= None self.Offset = None self.SchemaList = None self.Product = None def _deserialize(self,\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10\",\n \"Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int :param CreateTime: 任务创建时间。 :type CreateTime:\",\n \"params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime = params.get(\\\"LogEndTime\\\") self.TotalSize = params.get(\\\"TotalSize\\\")\",\n \"not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorFloatMetric() obj._deserialize(item)\",\n \":type Tasks: list of HealthReportTask :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"params.get(\\\"Regions\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class UserProfile(AbstractModel): \\\"\\\"\\\"用户配置的相关信息，包括邮件配置。 \\\"\\\"\\\"\",\n \"int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type InstanceConf: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs`\",\n \":type Count: int :param ScoreLost: 扣分分数。 :type ScoreLost: int \\\"\\\"\\\" self.DiagItem = None\",\n \"self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\") self.RowsSent = params.get(\\\"RowsSent\\\") self.RowsSentMax = params.get(\\\"RowsSentMax\\\") self.RowsSentMin\",\n \"AsyncRequestIds: list of int non-negative :param Product: 服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type\",\n \"params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value\",\n \"for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId\",\n \":param TableName: 表名。 :type TableName: str :param TableSchema: 库名。 :type TableSchema: str :param\",\n \"EndTime: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.DiagItem =\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"Product: str :param DangerLevels: 日志风险等级列表，支持值包括：0 无风险；1 低风险；2 中风险；3 高风险。 :type DangerLevels: list of\",\n \"str :param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str\",\n \"str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds = None self.Product = None def _deserialize(self,\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagType: 诊断类型。 :type DiagType: str :param EndTime: 结束时间。\",\n \"len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\"\",\n \"self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name\",\n \"12:13:14。 :type StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds:\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 需要获取健康得分的实例ID。 :type InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type\",\n \"self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DeleteSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions = None self.Product = None self.InstanceIds\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。\",\n \":type EventId: int :param DiagType: 诊断类型。 :type DiagType: str :param StartTime: 开始时间。 :type\",\n \"str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize（仅云数据库 MySQL实例支持），云数据库 MySQL实例默认为 PhysicalFileSize，其他产品实例默认为TotalLength。\",\n \"of str :param Regions: 根据地域条件查询。 :type Regions: list of str \\\"\\\"\\\" self.IsSupported =\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set\",\n \"# you may not use this file except in compliance with the License.\",\n \":type Schema: str \\\"\\\"\\\" self.InstanceId = None self.SqlText = None self.Schema = None\",\n \"self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\") self.Metric = params.get(\\\"Metric\\\") self.Region\",\n \"obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeHealthScoreRequest(AbstractModel): \\\"\\\"\\\"DescribeHealthScore请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"-*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights\",\n \"self.Series = None self.Timestamp = None def _deserialize(self, params): if params.get(\\\"Series\\\") is not\",\n \"for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item) self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set\",\n \"self.LockTimeAvg = params.get(\\\"LockTimeAvg\\\") self.RowsExaminedAvg = params.get(\\\"RowsExaminedAvg\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for\",\n \"None def _deserialize(self, params): self.Period = params.get(\\\"Period\\\") if params.get(\\\"TimeSeries\\\") is not None: self.TimeSeries\",\n \"InstanceIds: 指定更改巡检状态的实例ID。 :type InstanceIds: list of str \\\"\\\"\\\" self.InstanceConfs = None self.Regions =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportUrlResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportUrl返回参数结构体\",\n \"def _deserialize(self, params): self.Advices = params.get(\\\"Advices\\\") self.Comments = params.get(\\\"Comments\\\") self.SqlText = params.get(\\\"SqlText\\\") self.Schema\",\n \"\\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str\",\n \"def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.RequestId = params.get(\\\"RequestId\\\") class ContactItem(AbstractModel): \\\"\\\"\\\"联系人contact描述。 \\\"\\\"\\\"\",\n \"self.Outline = params.get(\\\"Outline\\\") self.Problem = params.get(\\\"Problem\\\") self.Severity = params.get(\\\"Severity\\\") self.StartTime = params.get(\\\"StartTime\\\") self.Suggestions\",\n \"params.get(\\\"SchemaList\\\"): obj = SchemaItem() obj._deserialize(item) self.SchemaList.append(obj) self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for\",\n \"class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables: 返回的Top表空间统计信息列表。 :type TopSpaceTables: list\",\n \"否; 1, 是。 :type SendMail: int :param Region: 地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region:\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Contacts\",\n \"not None: self.Series = [] for item in params.get(\\\"Series\\\"): obj = MonitorMetric() obj._deserialize(item)\",\n \"= None self.MemberCount = None def _deserialize(self, params): self.Id = params.get(\\\"Id\\\") self.Name =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorMetric(AbstractModel): \\\"\\\"\\\"监控数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Metric: 指标名称。\",\n \"= params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress = params.get(\\\"Progress\\\") self.LogStartTime = params.get(\\\"LogStartTime\\\") self.LogEndTime =\",\n \"异常事件总数。 :type TotalCount: int \\\"\\\"\\\" self.IssueType = None self.Events = None self.TotalCount =\",\n \"self.EngineVersion = None self.Vip = None self.Vport = None self.Source = None self.GroupId\",\n \"str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore = None self.HealthLevel =\",\n \"= None self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost =\",\n \"\\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param Stage:\",\n \":type StartDate: str :param EndDate: 截止日期，如“2021-01-01”，最早为当日的前第29天，默认为当日。 :type EndDate: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") if params.get(\\\"SeriesData\\\") is not None: self.SeriesData\",\n \"_deserialize(self, params): if params.get(\\\"Events\\\") is not None: self.Events = [] for item in\",\n \"str :param HealthLevels: 报告的健康等级，支持的取值包括：\\\"HEALTH\\\" - 健康；\\\"SUB_HEALTH\\\" - 亚健康；\\\"RISK\\\" - 危险；\\\"HIGH_RISK\\\" - 高危。 :type\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity = params.get(\\\"Severity\\\") self.ScoreLost =\",\n \"RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None self.Items =\",\n \"None def _deserialize(self, params): self.ReportUrl = params.get(\\\"ReportUrl\\\") self.ExpireTime = params.get(\\\"ExpireTime\\\") self.RequestId = params.get(\\\"RequestId\\\")\",\n \"InstanceType: 实例类型：1:MASTER；2:DR，3：RO，4:SDR。 :type InstanceType: int :param Cpu: 核心数。 :type Cpu: int :param Memory:\",\n \"def _deserialize(self, params): if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item\",\n \"SqlPlan: str :param Cost: SQL优化后的成本节约详情，可解析为JSON，无需优化时输出为空。 :type Cost: str :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount =\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"= params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.CreateTime = params.get(\\\"CreateTime\\\") self.Status = params.get(\\\"Status\\\") self.Progress =\",\n \"= None self.QueryTimeMax = None self.QueryTimeMin = None self.RowsSent = None self.RowsSentMax =\",\n \"not None: self.SeriesData = MonitorFloatMetricSeriesData() self.SeriesData._deserialize(params.get(\\\"SeriesData\\\")) memeber_set = set(params.keys()) for name, value in\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogUserHostStatsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogUserHostStats返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class KillMySqlThreadsRequest(AbstractModel): \\\"\\\"\\\"KillMySqlThreads请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"params.get(\\\"SecAuditStatus\\\") self.AuditPolicyStatus = params.get(\\\"AuditPolicyStatus\\\") self.AuditRunningStatus = params.get(\\\"AuditRunningStatus\\\") memeber_set = set(params.keys()) for name, value\",\n \"self.SortBy = None self.StartDate = None self.EndDate = None self.Product = None def\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SlowLogTopSqlItem(AbstractModel): \\\"\\\"\\\"慢日志TopSql \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.StartTime = None self.EndTime = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") memeber_set = set(params.keys())\",\n \"SqlExecId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB\",\n \"class SlowLogHost(AbstractModel): \\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str\",\n \"self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in memeber_set:\",\n \"def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 查询范围的开始时间，时间格式如：2019-09-10 12:13:14。\",\n \"HealthReportTask() obj._deserialize(item) self.Tasks.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeDBSpaceStatusRequest(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。\",\n \"r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type EventId: int :param DiagType: 诊断类型。 :type\",\n \"SlowLogTopSqlItem :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TotalCount = None\",\n \"None self.RowsExaminedAvg = None self.Md5 = None def _deserialize(self, params): self.LockTime = params.get(\\\"LockTime\\\")\",\n \"= None self.UniqVpcId = None self.InstanceConf = None self.DeadlineTime = None self.IsSupported =\",\n \"None: self.Items = [] for item in params.get(\\\"Items\\\"): obj = InstanceInfo() obj._deserialize(item) self.Items.append(obj)\",\n \"self.Limit = None self.InstanceNames = None self.InstanceIds = None self.Regions = None def\",\n \"InstanceId: str :param StartTime: 开始时间，如“2019-09-10 12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"InstanceId\\\") self.InstanceName = params.get(\\\"InstanceName\\\") self.Region = params.get(\\\"Region\\\") self.HealthScore = params.get(\\\"HealthScore\\\") self.Product = params.get(\\\"Product\\\")\",\n \"None def _deserialize(self, params): self.RequestId = params.get(\\\"RequestId\\\") class DescribeAllUserContactRequest(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param IssueTypes: 异常详情。 :type IssueTypes: list of IssueTypeInfo :param\",\n \"= None self.RequestId = None def _deserialize(self, params): self.Urls = params.get(\\\"Urls\\\") self.RequestId =\",\n \"StartTime: str :param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type\",\n \"= TableSpaceData() obj._deserialize(item) self.TopSpaceTables.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体\",\n \"class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param EventId: 事件 ID 。 :type\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagEventResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagEvent返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"\\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param ID:\",\n \"not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = HealthReportTask() obj._deserialize(item)\",\n \"DescribeSecurityAuditLogExportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogExportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Tasks: 安全审计日志导出任务列表。 :type Tasks: list of\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"str \\\"\\\"\\\" self.ID = None self.User = None self.Host = None self.DB =\",\n \"self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product\",\n \"InstanceName: 实例名称。 :type InstanceName: str :param Region: 实例所属地域。 :type Region: str :param HealthScore:\",\n \"= params.get(\\\"Schema\\\") self.Tables = params.get(\\\"Tables\\\") self.SqlPlan = params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId =\",\n \"def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.RangeDays = params.get(\\\"RangeDays\\\") self.Product = params.get(\\\"Product\\\") memeber_set\",\n \"= params.get(\\\"TotalCount\\\") if params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in\",\n \"= params.get(\\\"LockTime\\\") self.LockTimeMax = params.get(\\\"LockTimeMax\\\") self.LockTimeMin = params.get(\\\"LockTimeMin\\\") self.RowsExamined = params.get(\\\"RowsExamined\\\") self.RowsExaminedMax =\",\n \"params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class\",\n \"__init__(self): r\\\"\\\"\\\" :param ReportUrl: 健康报告浏览地址。 :type ReportUrl: str :param ExpireTime: 健康报告浏览地址到期时间戳（秒）。 :type ExpireTime:\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class SchemaSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库空间时序数据 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TableSchema: 库名\",\n \":param EndTime: 最后一个任务的开始时间，用于范围查询，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param InstanceIds: 实例ID数组，用于筛选指定实例的任务列表。 :type InstanceIds: list\",\n \"self.ProfileList = None self.TotalCount = None self.RequestId = None def _deserialize(self, params): if\",\n \"self.TotalCount = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProfileList\\\") is not\",\n \"% \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Growth: 磁盘增长量(MB)。 :type\",\n \":type Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None\",\n \"self.Groups = [] for item in params.get(\\\"Groups\\\"): obj = GroupItem() obj._deserialize(item) self.Groups.append(obj) self.RequestId\",\n \"接收邮件的联系人ID数组。 :type ContactPerson: list of int :param ContactGroup: 接收邮件的联系组ID数组。 :type ContactGroup: list of\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param SqlText: SQL语句。 :type SqlText:\",\n \"def _deserialize(self, params): self.IssueType = params.get(\\\"IssueType\\\") if params.get(\\\"Events\\\") is not None: self.Events =\",\n \"self.UserHost = None self.Ratio = None self.Count = None def _deserialize(self, params): self.UserHost\",\n \"InstanceId: 实例 ID 。 :type InstanceId: str :param Limit: 返回的Top库数量，最大值为100，默认为20。 :type Limit: int\",\n \"self.EventCount = params.get(\\\"EventCount\\\") self.InstanceType = params.get(\\\"InstanceType\\\") self.Cpu = params.get(\\\"Cpu\\\") self.Memory = params.get(\\\"Memory\\\") self.Volume\",\n \"总返回行数占比，单位% :type RowsSentRatio: float :param QueryTimeAvg: 平均执行时间，单位秒 :type QueryTimeAvg: float :param RowsSentAvg: 平均返回行数\",\n \"params.get(\\\"Tasks\\\") is not None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj =\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBSpaceStatusResponse(AbstractModel): \\\"\\\"\\\"DescribeDBSpaceStatus返回参数结构体\",\n \"Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param Outline: 诊断概要。 :type Outline: str :param DiagItem:\",\n \"= params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"= params.get(\\\"Offset\\\") self.Limit = params.get(\\\"Limit\\\") self.ProfileName = params.get(\\\"ProfileName\\\") memeber_set = set(params.keys()) for name,\",\n \"\\\"\\\"\\\" self.EventId = None self.DiagType = None self.StartTime = None self.EndTime = None\",\n \"\\\"HIGH_RISK\\\"。 :type HealthLevel: str \\\"\\\"\\\" self.IssueTypes = None self.EventsTotalCount = None self.HealthScore =\",\n \"\\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param DiagItem: 异常诊断项名称。 :type DiagItem: str :param IssueType: 诊断项分类，取值包括：可用性、可维护性、性能及可靠性。\",\n \"None self.Product = None self.BindInstanceIds = None def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is\",\n \"MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认值为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.InstanceId =\",\n \"MySqlProcess() obj._deserialize(item) self.ProcessList.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeSecurityAuditLogDownloadUrlsRequest(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"Product: str \\\"\\\"\\\" self.InstanceId = None self.Limit = None self.SortBy = None self.StartDate\",\n \"None: self.Tasks = [] for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj)\",\n \"中风险；3 高风险。 注意：此字段可能返回 null，表示取不到有效值。 :type DangerLevels: list of int non-negative \\\"\\\"\\\" self.AsyncRequestId =\",\n \"for item in params.get(\\\"ScoreDetails\\\"): obj = ScoreDetail() obj._deserialize(item) self.ScoreDetails.append(obj) memeber_set = set(params.keys()) for\",\n \"RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceTableTimeSeries = None self.RequestId = None def _deserialize(self,\",\n \"= params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"str :param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceInfo(AbstractModel): \\\"\\\"\\\"查询实例列表，返回实例的相关信息的对象。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId:\",\n \"= SchemaSpaceTimeSeries() obj._deserialize(item) self.TopSpaceSchemaTimeSeries.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemasRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemas请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \"RowsSentMax: 最大返回行数 :type RowsSentMax: int :param RowsSentMin: 最小返回行数 :type RowsSentMin: int :param ExecTimes:\",\n \":param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。\",\n \"- 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param Progress: 任务完成进度，单位%。 :type Progress: int\",\n \"params): self.Count = params.get(\\\"Count\\\") self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value\",\n \"float :param RowsExaminedRatio: 总扫描行数占比，单位% :type RowsExaminedRatio: float :param RowsSentRatio: 总返回行数占比，单位% :type RowsSentRatio: float\",\n \"配置类型，支持值包括：\\\"dbScan_mail_configuration\\\" - 数据库巡检邮件配置，\\\"scheduler_mail_configuration\\\" - 定期生成邮件配置。 :type ProfileType: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSecurityAuditLogDownloadUrlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSecurityAuditLogDownloadUrls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Urls:\",\n \"Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param SqlPlan: SQL执行计划，可解析为JSON，无需优化时输出为空。 :type SqlPlan:\",\n \"Product: str :param AsyncRequestIds: 日志导出任务Id列表。 :type AsyncRequestIds: list of int non-negative :param Offset:\",\n \"ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeSlowLogTopSqlsResponse(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTopSqls返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount:\",\n \":param HealthScore: 健康得分。 :type HealthScore: int :param HealthLevel: 健康等级, 如：\\\"HEALTH\\\", \\\"SUB_HEALTH\\\", \\\"RISK\\\", \\\"HIGH_RISK\\\"。\",\n \"\\\"\\\"\\\"安全审计日志导出任务信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param AsyncRequestId: 异步任务Id。 :type AsyncRequestId: int :param StartTime:\",\n \"= params.get(\\\"SqlText\\\") self.Schema = params.get(\\\"Schema\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \":type EngineVersion: str :param Vip: 内网地址。 :type Vip: str :param Vport: 内网端口。 :type\",\n \"params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.DangerLevels = params.get(\\\"DangerLevels\\\") memeber_set = set(params.keys())\",\n \":param CreateTime: 任务创建时间。 :type CreateTime: str :param Status: 任务状态。 :type Status: str :param\",\n \"obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"\\\"\\\"\\\" self.ProcessList = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is\",\n \"RequestId: str \\\"\\\"\\\" self.Period = None self.TimeSeries = None self.SeriesData = None self.RequestId\",\n \"定期生成邮件配置。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileType: str :param ProfileLevel: 配置级别，支持值包括：\\\"User\\\" - 用户级别，\\\"Instance\\\" - 实例级别，其中数据库巡检邮件配置为用户级别，定期生成邮件配置为实例级别。\",\n \"DescribeMySqlProcessListRequest(AbstractModel): \\\"\\\"\\\"DescribeMySqlProcessList请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") if params.get(\\\"InstanceInfo\\\") is not None: self.InstanceInfo =\",\n \":type ProfileName: str :param BindInstanceId: 配置订阅的实例ID。 :type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.TopSpaceSchemas = None self.Timestamp\",\n \"监控指标。 :type Series: list of MonitorMetric :param Timestamp: 监控指标对应的时间戳。 :type Timestamp: list of\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ScoreDetail(AbstractModel): \\\"\\\"\\\"扣分详情。\",\n \"self.Data._deserialize(params.get(\\\"Data\\\")) self.RequestId = params.get(\\\"RequestId\\\") class DescribeMailProfileRequest(AbstractModel): \\\"\\\"\\\"DescribeMailProfile请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param ProfileType:\",\n \"DeadlineTime: 资源到期时间。 :type DeadlineTime: str :param IsSupported: 是否是DBbrain支持的实例。 :type IsSupported: bool :param SecAuditStatus:\",\n \"= params.get(\\\"RequestId\\\") class DescribeUserSqlAdviceRequest(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"Id: int :param Name: 组名称。 :type Name: str :param MemberCount: 组成员数量。 :type MemberCount:\",\n \"= params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel):\",\n \"[] for item in params.get(\\\"ProfileList\\\"): obj = UserProfile() obj._deserialize(item) self.ProfileList.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"self.Name = None self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name\",\n \"SqlText: SQL语句。 :type SqlText: str :param Schema: 库名。 :type Schema: str :param Tables:\",\n \"TotalCount: int :param DbScanStatus: 全实例巡检状态：0：开启全实例巡检；1：未开启全实例巡检。 :type DbScanStatus: int :param Items: 实例相关信息。 :type Items:\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param InstanceName: 实例名称。 :type InstanceName: str :param Region:\",\n \"= params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"__init__(self): r\\\"\\\"\\\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"= None self.Product = None def _deserialize(self, params): self.WeekConfiguration = params.get(\\\"WeekConfiguration\\\") if params.get(\\\"ProfileInfo\\\")\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeUserSqlAdviceResponse(AbstractModel): \\\"\\\"\\\"DescribeUserSqlAdvice返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Advices: SQL优化建议，可解析为JSON数组，无需优化时输出为空。\",\n \"None self.Outline = None self.Severity = None self.ScoreLost = None self.Metric = None\",\n \"str :param Mail: 联系人绑定的邮箱。 :type Mail: str \\\"\\\"\\\" self.Id = None self.Name =\",\n \"= params.get(\\\"RequestId\\\") class DescribeTopSpaceSchemaTimeSeriesRequest(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"SeriesData: :class:`tencentcloud.dbbrain.v20210527.models.MonitorMetricSeriesData` \\\"\\\"\\\" self.TableSchema = None self.SeriesData = None def _deserialize(self, params): self.TableSchema\",\n \":param Source: 任务的触发来源，支持的取值包括：\\\"DAILY_INSPECTION\\\" - 实例巡检；\\\"SCHEDULED\\\" - 定时生成；\\\"MANUAL\\\" - 手动触发。 :type Source: str :param\",\n \"Outline: 诊断概要。 :type Outline: str :param DiagItem: 诊断项说明。 :type DiagItem: str :param InstanceId:\",\n \"12:13:14”。 :type StartTime: str :param EndTime: 结束时间，如“2019-09-10 12:13:14”，结束时间与开始时间的间隔最大可为7天。 :type EndTime: str :param Product:\",\n \"str :param TotalSize: 日志文件总大小，单位KB。 注意：此字段可能返回 null，表示取不到有效值。 :type TotalSize: int :param DangerLevels: 风险等级列表。0 无风险；1\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeDBDiagHistoryResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagHistory返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Events: 事件描述。\",\n \"0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class TableSpaceTimeSeries(AbstractModel): \\\"\\\"\\\"库表空间时序数据 \\\"\\\"\\\" def __init__(self):\",\n \"注意：此字段可能返回 null，表示取不到有效值。 :type TotalCount: int :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str\",\n \"SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeSlowLogTimeSeriesStatsRequest(AbstractModel): \\\"\\\"\\\"DescribeSlowLogTimeSeriesStats请求参数结构体 \\\"\\\"\\\"\",\n \"Limit: 返回数量，默认20，最大值为100。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" - 云数据库\",\n \":param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str \\\"\\\"\\\" self.Advices = None self.Comments\",\n \"None: self.Contacts = [] for item in params.get(\\\"Contacts\\\"): obj = ContactItem() obj._deserialize(item) self.Contacts.append(obj)\",\n \"= None self.Metric = None self.Count = None def _deserialize(self, params): self.EventId =\",\n \":param EndTime: 任务完成执行时间。 :type EndTime: str :param InstanceInfo: 任务所属实例的基础信息。 :type InstanceInfo: :class:`tencentcloud.dbbrain.v20210527.models.InstanceBasicInfo` :param\",\n \"SecAuditStatus: str :param AuditPolicyStatus: 实例审计日志开启状态，ALL_AUDIT： 开启全审计；RULE_AUDIT： 开启规则审计；UNBOUND： 未开启审计。 :type AuditPolicyStatus: str :param AuditRunningStatus:\",\n \"self.ContactInfo = None self.Product = None def _deserialize(self, params): self.Name = params.get(\\\"Name\\\") self.ContactInfo\",\n \":param Limit: 返回数量，默认20。 :type Limit: int :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库 MySQL；\\\"cynosdb\\\" -\",\n \"None self.AsyncRequestIds = None self.Product = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\")\",\n \":type TaskStatuses: str :param Offset: 偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\")\",\n \"for item in params.get(\\\"Items\\\"): obj = ScoreItem() obj._deserialize(item) self.Items.append(obj) memeber_set = set(params.keys()) for\",\n \":param Metric: 保留字段。 注意：此字段可能返回 null，表示取不到有效值。 :type Metric: str :param Region: 地域。 :type Region:\",\n \":param StartTime: 开始时间。 :type StartTime: str :param EndTime: 结束时间。 :type EndTime: str :param\",\n \":param DailyInspection: 数据库巡检开关, Yes/No。 :type DailyInspection: str :param OverviewDisplay: 实例概览开关，Yes/No。 :type OverviewDisplay: str\",\n \"self.Series.append(obj) self.Timestamp = params.get(\\\"Timestamp\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"InstanceId: 实例ID。 :type InstanceId: str :param Stage: kill会话任务的阶段，取值包括：\\\"Prepare\\\"-准备阶段，\\\"Commit\\\"-提交阶段。 :type Stage: str :param Threads:\",\n \":param Schema: 库名。 :type Schema: str :param Tables: 相关表的DDL信息，可解析为JSON数组。 :type Tables: str :param\",\n \"= params.get(\\\"EndTime\\\") self.Product = params.get(\\\"Product\\\") self.Md5 = params.get(\\\"Md5\\\") memeber_set = set(params.keys()) for name,\",\n \"= params.get(\\\"ContactPerson\\\") self.ContactGroup = params.get(\\\"ContactGroup\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name,\",\n \"self.Memory = params.get(\\\"Memory\\\") self.Volume = params.get(\\\"Volume\\\") self.EngineVersion = params.get(\\\"EngineVersion\\\") self.Vip = params.get(\\\"Vip\\\") self.Vport\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。\",\n \"if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class SecLogExportTaskInfo(AbstractModel): \\\"\\\"\\\"安全审计日志导出任务信息\",\n \"params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys())\",\n \"memeber_set.remove(name) if len(memeber_set) > 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemasResponse(AbstractModel):\",\n \"% \\\",\\\".join(memeber_set)) class InstanceBasicInfo(AbstractModel): \\\"\\\"\\\"实例基础信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type\",\n \"\\\"\\\"\\\"慢日志来源地址详情。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param UserHost: 来源地址。 :type UserHost: str :param Ratio:\",\n \"\\\"\\\"\\\"DescribeHealthScore返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Data: 健康得分以及异常扣分项。 :type Data: :class:`tencentcloud.dbbrain.v20210527.models.HealthScoreInfo` :param RequestId:\",\n \":type SqlText: str :param Schema: 库名。 :type Schema: str \\\"\\\"\\\" self.InstanceId = None\",\n \"= None self.TableRows = None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName =\",\n \"Reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"= None self.RowsSentMax = None self.RowsSentMin = None self.ExecTimes = None self.SqlTemplate =\",\n \"def _deserialize(self, params): self.DiagItem = params.get(\\\"DiagItem\\\") self.IssueType = params.get(\\\"IssueType\\\") self.TopSeverity = params.get(\\\"TopSeverity\\\") self.Count\",\n \":type Problem: str :param Severity: 严重程度。严重程度分为5级，按影响程度从高至低分别为：1：致命，2：严重，3：告警，4：提示，5：健康。 :type Severity: int :param StartTime: 开始时间 :type\",\n \"= params.get(\\\"TableSchema\\\") self.Engine = params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree =\",\n \":param State: 线程的操作状态。 :type State: str :param Command: 线程的执行类型。 :type Command: str :param\",\n \"[] for item in params.get(\\\"Items\\\"): obj = SlowLogHost() obj._deserialize(item) self.Items.append(obj) self.RequestId = params.get(\\\"RequestId\\\")\",\n \"__init__(self): r\\\"\\\"\\\" :param InstanceId: 实例ID。 :type InstanceId: str :param StartTime: 开始时间，如“2020-11-08T14:00:00+08:00”。 :type StartTime:\",\n \":type TaskStatus: int :param UniqVpcId: 私有网络统一ID。 :type UniqVpcId: str :param InstanceConf: 实例巡检/概览的状态。 :type\",\n \":param Schema: 数据库名称 :type Schema: str \\\"\\\"\\\" self.Schema = None def _deserialize(self, params):\",\n \"__init__(self): r\\\"\\\"\\\" :param IssueType: 扣分项分类，取值包括：可用性、可维护性、性能及可靠性。 :type IssueType: str :param ScoreLost: 扣分总分。 :type ScoreLost:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class CreateDBDiagReportTaskResponse(AbstractModel): \\\"\\\"\\\"CreateDBDiagReportTask返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"= None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = []\",\n \"Growth: int :param Remain: 磁盘剩余(MB)。 :type Remain: int :param Total: 磁盘总量(MB)。 :type Total:\",\n \"params): if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"):\",\n \"self.StartTime = params.get(\\\"StartTime\\\") self.EventId = params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem\",\n \"None self.Product = None def _deserialize(self, params): self.InstanceId = params.get(\\\"InstanceId\\\") self.Limit = params.get(\\\"Limit\\\")\",\n \"params.get(\\\"User\\\") self.Host = params.get(\\\"Host\\\") self.DB = params.get(\\\"DB\\\") self.State = params.get(\\\"State\\\") self.Command = params.get(\\\"Command\\\")\",\n \"self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileName = params.get(\\\"ProfileName\\\") self.BindInstanceId = params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\")\",\n \"self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product = params.get(\\\"Product\\\") self.AsyncRequestIds = params.get(\\\"AsyncRequestIds\\\") self.Offset = params.get(\\\"Offset\\\") self.Limit\",\n \":type Status: int :param UniqSubnetId: 子网统一ID。 :type UniqSubnetId: str :param DeployMode: cdb类型。 :type\",\n \"InstanceConfs: :class:`tencentcloud.dbbrain.v20210527.models.InstanceConfs` :param Regions: 生效实例地域，取值为\\\"All\\\"，代表全地域。 :type Regions: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" -\",\n \"诊断事件详情，若无附加解释信息则输出为空。 :type Explanation: str :param Outline: 诊断概要。 :type Outline: str :param Problem: 诊断出的问题。\",\n \"\\\"\\\"\\\" self.TotalCount = None self.Tasks = None self.RequestId = None def _deserialize(self, params):\",\n \"StartTime: str :param EndTime: 截止时间，如“2019-09-11 10:13:14”，截止时间与开始时间的间隔小于7天。 :type EndTime: str :param SortBy: 排序键，目前支持 QueryTime,ExecTimes,RowsSent,LockTime以及RowsExamined\",\n \"str :param EndTime: 查询范围的结束时间，时间格式如：2019-09-10 12:13:14。 :type EndTime: str :param Product: 服务产品类型，支持值：\\\"mysql\\\" - 云数据库\",\n \"params.get(\\\"RowsExaminedMax\\\") self.RowsExaminedMin = params.get(\\\"RowsExaminedMin\\\") self.QueryTime = params.get(\\\"QueryTime\\\") self.QueryTimeMax = params.get(\\\"QueryTimeMax\\\") self.QueryTimeMin = params.get(\\\"QueryTimeMin\\\")\",\n \"def __init__(self): r\\\"\\\"\\\" :param Urls: 导出结果的COS链接列表。当结果集很大时，可能会切分为多个url下载。 :type Urls: list of str :param RequestId:\",\n \"SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type SortBy: str :param StartDate: 开始日期，如“2021-01-01”，最早为当日的前第29天，默认为截止日期的前第6天。 :type StartDate: str :param\",\n \"None def _deserialize(self, params): self.HealthScore = params.get(\\\"HealthScore\\\") self.HealthLevel = params.get(\\\"HealthLevel\\\") self.ScoreLost = params.get(\\\"ScoreLost\\\")\",\n \"self.SendMailFlag = None self.ContactPerson = None self.ContactGroup = None self.Product = None def\",\n \"InstanceId: str :param Limit: 返回的Top表数量，最大值为100，默认为20。 :type Limit: int :param SortBy: 筛选Top表所用的排序字段，可选字段包含DataLength、IndexLength、TotalLength、DataFree、FragRatio、TableRows、PhysicalFileSize，默认为 PhysicalFileSize。 :type\",\n \"= params.get(\\\"Engine\\\") self.DataLength = params.get(\\\"DataLength\\\") self.IndexLength = params.get(\\\"IndexLength\\\") self.DataFree = params.get(\\\"DataFree\\\") self.TotalLength =\",\n \"% \\\",\\\".join(memeber_set)) class CreateSchedulerMailProfileResponse(AbstractModel): \\\"\\\"\\\"CreateSchedulerMailProfile返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的\",\n \"params.get(\\\"InstanceId\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.SendMailFlag = params.get(\\\"SendMailFlag\\\") self.ContactPerson = params.get(\\\"ContactPerson\\\")\",\n \":param QueryTime: 总耗时，单位秒 :type QueryTime: float :param QueryTimeMax: 最大执行时间，单位秒 :type QueryTimeMax: float :param\",\n \"诊断项。 :type DiagItem: str :param DiagType: 诊断类型。 :type DiagType: str :param EventId: 事件\",\n \"are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceTablesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceTables返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TopSpaceTables:\",\n \"self.Limit = None self.SortBy = None self.Product = None def _deserialize(self, params): self.InstanceId\",\n \"= params.get(\\\"ContactGroup\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if name in\",\n \"邮件配置详情。 注意：此字段可能返回 null，表示取不到有效值。 :type ProfileList: list of UserProfile :param TotalCount: 邮件模版总数。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"\\\",\\\".join(memeber_set)) class DescribeDBDiagReportTasksResponse(AbstractModel): \\\"\\\"\\\"DescribeDBDiagReportTasks返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param TotalCount: 任务总数目。 :type TotalCount:\",\n \"- 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库 CynosDB for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\"\",\n \"params): self.EventId = params.get(\\\"EventId\\\") self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\")\",\n \"self.Offset = None self.Limit = None def _deserialize(self, params): self.SecAuditGroupId = params.get(\\\"SecAuditGroupId\\\") self.Product\",\n \"for item in params.get(\\\"Tasks\\\"): obj = SecLogExportTaskInfo() obj._deserialize(item) self.Tasks.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") self.RequestId\",\n \"null，表示取不到有效值。 :type Metric: str :param EndTime: 结束时间。 :type EndTime: str :param RequestId: 唯一请求\",\n \"- 云数据库 TDSQL-C for MySQL，默认为\\\"mysql\\\"。 :type Product: str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo\",\n \"if params.get(\\\"ProcessList\\\") is not None: self.ProcessList = [] for item in params.get(\\\"ProcessList\\\"): obj\",\n \":type Count: int :param Timestamp: 统计开始时间 :type Timestamp: int \\\"\\\"\\\" self.Count = None\",\n \"语言, 如\\\"zh\\\"。 :type Language: str :param MailConfiguration: 邮件模板的内容。 :type MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language\",\n \"HealthLevel: str :param ScoreLost: 总扣分分数。 :type ScoreLost: int :param ScoreDetails: 扣分详情。 注意：此字段可能返回 null，表示取不到有效值。\",\n \"地域配置, 如[\\\"ap-guangzhou\\\", \\\"ap-shanghai\\\"]。巡检的邮件发送模版，配置需要发送巡检邮件的地域；订阅的邮件发送模版，配置当前订阅实例的所属地域。 :type Region: list of str :param HealthStatus: 发送指定的健康等级的报告, 如[\\\"HEALTH\\\", \\\"SUB_HEALTH\\\",\",\n \"None: self.InstanceConfs = InstanceConfs() self.InstanceConfs._deserialize(params.get(\\\"InstanceConfs\\\")) self.Regions = params.get(\\\"Regions\\\") self.Product = params.get(\\\"Product\\\") self.InstanceIds =\",\n \"useless.\\\" % \\\",\\\".join(memeber_set)) class MonitorFloatMetricSeriesData(AbstractModel): \\\"\\\"\\\"单位时间间隔内的监控指标数据（浮点型） \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Series: 监控指标。\",\n \"= params.get(\\\"SqlPlan\\\") self.Cost = params.get(\\\"Cost\\\") self.RequestId = params.get(\\\"RequestId\\\") class DiagHistoryEventItem(AbstractModel): \\\"\\\"\\\"实例诊断历史事件 \\\"\\\"\\\" def\",\n \"params): self.AsyncRequestId = params.get(\\\"AsyncRequestId\\\") self.RequestId = params.get(\\\"RequestId\\\") class DeleteSecurityAuditLogExportTasksRequest(AbstractModel): \\\"\\\"\\\"DeleteSecurityAuditLogExportTasks请求参数结构体 \\\"\\\"\\\" def __init__(self):\",\n \":type BindInstanceId: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\" - 云数据库 MySQL， \\\"cynosdb\\\" - 云数据库\",\n \"params.get(\\\"Id\\\") self.Name = params.get(\\\"Name\\\") self.Mail = params.get(\\\"Mail\\\") memeber_set = set(params.keys()) for name, value\",\n \"__init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names: 联系人名数组，支持模糊搜索。 :type Names:\",\n \"None: self.InstanceInfo = InstanceBasicInfo() self.InstanceInfo._deserialize(params.get(\\\"InstanceInfo\\\")) if params.get(\\\"HealthStatus\\\") is not None: self.HealthStatus = HealthStatus()\",\n \"欠费暂停。 :type AuditRunningStatus: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Region =\",\n \"Unit: 指标单位。 :type Unit: str :param Values: 指标值。 注意：此字段可能返回 null，表示取不到有效值。 :type Values: list\",\n \"params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId = params.get(\\\"UniqSubnetId\\\") self.DeployMode = params.get(\\\"DeployMode\\\")\",\n \"None def _deserialize(self, params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\")\",\n \":type EngineVersion: str \\\"\\\"\\\" self.InstanceId = None self.InstanceName = None self.Vip = None\",\n \"self.Source = params.get(\\\"Source\\\") self.GroupId = params.get(\\\"GroupId\\\") self.GroupName = params.get(\\\"GroupName\\\") self.Status = params.get(\\\"Status\\\") self.UniqSubnetId\",\n \"> 0: warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def\",\n \"服务产品类型，支持值： \\\"mysql\\\" - 云数据库 MySQL。 :type Product: str \\\"\\\"\\\" self.SecAuditGroupId = None self.AsyncRequestIds\",\n \"结束时间。 :type EndTime: str :param StartTime: 开始时间。 :type StartTime: str :param EventId: 事件唯一ID\",\n \"MailConfiguration: :class:`tencentcloud.dbbrain.v20210527.models.MailConfiguration` \\\"\\\"\\\" self.Language = None self.MailConfiguration = None def _deserialize(self, params): self.Language\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class MySqlProcess(AbstractModel): \\\"\\\"\\\"关系型数据库线程 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \":param LockTimeMax: 最大锁等待时间，单位秒 :type LockTimeMax: float :param LockTimeMin: 最小锁等待时间，单位秒 :type LockTimeMin: float :param\",\n \"str \\\"\\\"\\\" self.WeekConfiguration = None self.ProfileInfo = None self.ProfileName = None self.BindInstanceId =\",\n \"warnings.warn(\\\"%s fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeTopSpaceSchemaTimeSeriesResponse(AbstractModel): \\\"\\\"\\\"DescribeTopSpaceSchemaTimeSeries返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\"\",\n \"self.DiagType = params.get(\\\"DiagType\\\") self.StartTime = params.get(\\\"StartTime\\\") self.EndTime = params.get(\\\"EndTime\\\") self.Outline = params.get(\\\"Outline\\\") self.Severity\",\n \"= params.get(\\\"Remain\\\") self.Total = params.get(\\\"Total\\\") self.AvailableDays = params.get(\\\"AvailableDays\\\") self.RequestId = params.get(\\\"RequestId\\\") class DescribeDiagDBInstancesRequest(AbstractModel):\",\n \"\\\"\\\"\\\"DescribeAllUserGroup请求参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param Product: 服务产品类型，固定值：mysql。 :type Product: str :param Names:\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class DescribeAllUserContactResponse(AbstractModel): \\\"\\\"\\\"DescribeAllUserContact返回参数结构体 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class EventInfo(AbstractModel): \\\"\\\"\\\"异常事件信息。 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"EventId\\\") self.Severity = params.get(\\\"Severity\\\") self.Outline = params.get(\\\"Outline\\\") self.DiagItem = params.get(\\\"DiagItem\\\") self.InstanceId = params.get(\\\"InstanceId\\\")\",\n \"self.ProcessList = None self.RequestId = None def _deserialize(self, params): if params.get(\\\"ProcessList\\\") is not\",\n \"item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\") memeber_set =\",\n \"fileds are useless.\\\" % \\\",\\\".join(memeber_set)) class ProfileInfo(AbstractModel): \\\"\\\"\\\"用户配置的信息 \\\"\\\"\\\" def __init__(self): r\\\"\\\"\\\" :param\",\n \"params.get(\\\"Metric\\\") self.Count = params.get(\\\"Count\\\") memeber_set = set(params.keys()) for name, value in vars(self).items(): if\",\n \"= None self.OverviewDisplay = None def _deserialize(self, params): self.DailyInspection = params.get(\\\"DailyInspection\\\") self.OverviewDisplay =\",\n \"self.SeriesData = None def _deserialize(self, params): self.TableSchema = params.get(\\\"TableSchema\\\") if params.get(\\\"SeriesData\\\") is not\",\n \"InstanceId: str :param Time: 获取健康得分的时间，时间格式如：2019-09-10 12:13:14。 :type Time: str :param Product: 服务产品类型，支持值包括： \\\"mysql\\\"\",\n \"params): self.ProfileId = params.get(\\\"ProfileId\\\") self.ProfileType = params.get(\\\"ProfileType\\\") self.ProfileLevel = params.get(\\\"ProfileLevel\\\") self.ProfileName = params.get(\\\"ProfileName\\\")\",\n \"实例内网Port。 :type Vport: int :param Product: 实例产品。 :type Product: str :param EngineVersion: 实例引擎版本。\",\n \"None self.PhysicalFileSize = None def _deserialize(self, params): self.TableName = params.get(\\\"TableName\\\") self.TableSchema = params.get(\\\"TableSchema\\\")\",\n \"def _deserialize(self, params): if params.get(\\\"ProfileInfo\\\") is not None: self.ProfileInfo = ProfileInfo() self.ProfileInfo._deserialize(params.get(\\\"ProfileInfo\\\")) self.ProfileLevel\",\n \"[] for item in params.get(\\\"Events\\\"): obj = EventInfo() obj._deserialize(item) self.Events.append(obj) self.TotalCount = params.get(\\\"TotalCount\\\")\",\n \"self.ProfileInfo = None self.ProfileLevel = None self.ProfileName = None self.ProfileType = None self.Product\",\n \"= params.get(\\\"BindInstanceId\\\") self.Product = params.get(\\\"Product\\\") memeber_set = set(params.keys()) for name, value in vars(self).items():\",\n \"偏移量，默认0。 :type Offset: int :param Limit: 返回数量，默认20，最大值为100。 :type Limit: int \\\"\\\"\\\" self.SecAuditGroupId =\"\n]","isConversational":false}}},{"rowIdx":795,"cells":{"ngram":{"kind":"list like","value":["a response object from the given parameters. :param body: Buffer/string containing the response","resource access. Certain methods MUST be overridden in a subclass, thus this class","# Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc)","params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) #","is_valid = None token = None client_id = None expires_in = None error","# Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all","grant type. Must be \"authorization_code\". :type grant_type: str :param client_id: Client ID. :type","header string for key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True,","or False from_authorization_code(self, client_id, code, scope) # Return mixed data or None on","response object from the given parameters. :param body: Buffer/string containing the response body.","error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs)","authorization.\"\"\" is_oauth = False is_valid = None token = None client_id = None","is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard","super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth","refresh_token = self.generate_refresh_token() # Save information to be used to validate later requests","= False is_valid = None token = None client_id = None expires_in =","logging from requests import Response from io import StringIO try: from werkzeug.exceptions import","self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard","This class manages authorization codes and access tokens. Certain methods MUST be overridden","client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return","not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err =","response body. :type body: str :param headers: Dict of headers to include in","\"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token","= self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not","param: {0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\" in data: return","to get the token expiration time in seconds. :rtype: int \"\"\" return 3600","redirect_uri) # Return True or False validate_access(self) # Use this to validate your","be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token,","self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None # Return proper error","cannot be directly used as a resource provider. These are the methods that","error. :param err: OAuth error message. :type err: str :rtype: requests.Response \"\"\" return","expires_in attributes # on authorization if authorization was successful. # Return value is","if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response()","Ensure proper response_type if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err)","message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self):","thus this class cannot be directly used as a resource provider. These are","is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is","# Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False","token from authorization code for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise","methods that must be implemented in a subclass: validate_client_id(self, client_id) # Return True","\"\"\" res = Response() res.status_code = status_code if headers is not None: res.headers.update(headers)","\"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return","def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth = self.authorization_class() header","refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the","str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\":","\"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the token expiration","return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope","validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise","= params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response from","error message. :type err: str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\":",":rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype:","random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri,","data. :param data: Data to JSON-encode. :type data: mixed :param headers: Dict of","NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement","\"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type,","x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0","return 40 @property def token_type(self): \"\"\"Property method to get the access token type.","def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the given parameters.","status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers = {} if headers","to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection","token HTTP response from a refresh token. :param grant_type: Desired grant type. Must","err) def get_token_from_post_data(self, data): \"\"\"Get a token response from POST data. :param data:","def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI. This method will",":param redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth error message.","on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant","self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\":","\"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self,","Exception to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self,","# Generate authorization code code = self.generate_authorization_code() # Save information to be used","scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None #",":param err: OAuth error message. :type err: str :rtype: requests.Response \"\"\" params =",":rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class","data is not None # Return proper error responses on invalid conditions if","directly used as a provider. These are the methods that must be implemented","return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter","response_type if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check","HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers = {} if","self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization codes and","# Use this to validate your app session user # Return True or","string for key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id,","expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params):","# Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) #","is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object","\"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check","not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return","client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id,","self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not","u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc:","parsing the query string parameters. :param uri: URI to parse for authorization information.","is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is","validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) # Use this to","get the token expiration time in seconds. :rtype: int \"\"\" return 3600 def","provider class for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle","str :param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect URI.","implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \"","# Generate access tokens once all conditions have been met access_token = self.generate_access_token()","on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope:",":param exc: Exception to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc)",":type grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret: Client","missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This","client_id, redirect_uri) # Return True or False validate_access(self) # Use this to validate","string parameters. :param uri: URI to parse for authorization information. :type uri: str","class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None token","= None error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth","{ \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self,","\"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret)","token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get the","= params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant","NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must","scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\")","not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization","str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in params:","def get_token_from_post_data(self, data): \"\"\"Get a token response from POST data. :param data: POST","client_id, refresh_token, scope) # Return mixed data or None on invalid persist_authorization_code(self, client_id,","refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored","parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization","to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\",","Desired grant type. Must be \"refresh_token\". :type grant_type: str :param client_id: Client ID.","class manages authorization codes and access tokens. Certain methods MUST be overridden in","def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth","from io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized =","URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters","\"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302)","err: OAuth error message. :type err: str :rtype: requests.Response \"\"\" params = {\"error\":","not None # Return proper error responses on invalid conditions if not (is_valid_client_id","self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from","reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\"","{\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return","redirect URI. :type redirect_uri: str :param err: OAuth error message. :type err: str","response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, }","except ImportError: Unauthorized = Exception from oauth import utils class Provider(object): \"\"\"Base provider","generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get the length","redirect URI. :type redirect_uri: str :param code: Authorization code. :type code: str :rtype:","params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response from POST","parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all","a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret) #","is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access","data): \"\"\"Get a token response from POST data. :param data: POST data containing","None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type,","return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other server errors","client_id: Client ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str","scope) is_valid_grant = data is not None # Return proper error responses on","header or not header.split: return auth header = header.split() if len(header) > 1","raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must","Handle get token from authorization code for x in [\"redirect_uri\", \"code\"]: if not","a response object from the given JSON data. :param data: Data to JSON-encode.","Desired grant type. Must be \"authorization_code\". :type grant_type: str :param client_id: Client ID.","type. Must be exactly \"code\". :type response_type: str :param client_id: Client ID. :type","refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\":","client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param grant_type: Desired grant","conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope =","_handle_exception(self, exc): \"\"\"Handle an internal exception that was caught and suppressed. :param exc:","random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random",":rtype: requests.Response \"\"\" # Ensure proper response_type if response_type != \"code\": err =","or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original","in request err = \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return",":type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type !=","None error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization","code. :type code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type",":rtype: requests.Response \"\"\" res = Response() res.status_code = status_code if headers is not","requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\": None,","def _handle_exception(self, exc): \"\"\"Handle an internal exception that was caught and suppressed. :param","not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") #","data: POST data containing authorization information. :type data: dict :rtype: requests.Response \"\"\" try:","raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth","authorization codes and access tokens. Certain methods MUST be overridden in a subclass,","= utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type in","self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have been met access_token","utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length)","return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope =","is_valid_grant = data is not None # Return proper error responses on invalid","error, including the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason =","redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization code. :type code:","raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must","client_id, code, scope) # Return mixed data or None on invalid from_refresh_token(self, client_id,","be directly used as a provider. These are the methods that must be",":rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\")","information. :type data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters","redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type if response_type != \"code\":","met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token()","response_type: str :param client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect","if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type in URL query\") if","try: if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type in URL query\")","code. :type status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code = status_code","self.refresh_token(**data) # Handle get token from authorization code for x in [\"redirect_uri\", \"code\"]:","\"\"\" try: # Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]:","class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid","access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def","1 and header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth)","refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI.","def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\"","dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for x in","auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \"","# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\",","\"\"\" return 40 @property def token_type(self): \"\"\"Property method to get the access token","_make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object containing the error.","different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception","from_authorization_code(self, client_id, code, scope) # Return mixed data or None on invalid from_refresh_token(self,","subclass, thus this class cannot be directly used as a resource provider. These","except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request err =","status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers = {}","is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data","response from a refresh token. :param grant_type: Desired grant type. Must be \"refresh_token\".","parameter response_type in URL query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter","_make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from the given JSON data.","value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization","token response from POST data. :param data: POST data containing authorization information. :type","False validate_access(self) # Use this to validate your app session user # Return","header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not","response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"]","= \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri,","validate an incoming request and authenticate resource access. Certain methods MUST be overridden","OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args,","scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\":","conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope","= self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data =",":type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200):","must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \"",":type redirect_uri: str :param err: OAuth error message. :type err: str :rtype: requests.Response","# Return mixed data or None on invalid persist_authorization_code(self, client_id, code, scope) #","other server errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def","if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get token from authorization code","Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x):","URL query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id in URL","token_expires_in(self): \"\"\"Property method to get the token expiration time in seconds. :rtype: int","a refresh token. :param grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type:","errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data):","URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type if response_type","params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response","behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def","session user # Return True or False from_authorization_code(self, client_id, code, scope) # Return","str :rtype: requests.Response \"\"\" # Ensure proper response_type if response_type != \"code\": err","methods MUST be overridden in a subclass, thus this class cannot be directly","refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code):","**params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired response type. Must be","discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token):","\"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) #","thus this class cannot be directly used as a provider. These are the","authorization provider. This class manages authorization codes and access tokens. Certain methods MUST","a subclass, thus this class cannot be directly used as a provider. These","on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope,","been met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token =","{\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params)","as exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self,","return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens","and authenticate resource access. Certain methods MUST be overridden in a subclass, thus","and access tokens. Certain methods MUST be overridden in a subclass, thus this","= self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data =","not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access()","These are the methods that must be implemented in a subclass: get_authorization_header(self) #","# Return value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self):","in a subclass: get_authorization_header(self) # Return header string for key \"Authorization\" or None","NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must","requests.Response \"\"\" res = Response() res.status_code = status_code if headers is not None:","client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from a refresh token. :param","parameter client_id in URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter","raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as","not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate","your app session user # Return True or False from_authorization_code(self, client_id, code, scope)","= \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def","self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once","_make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the error. :param err: OAuth",":type status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code = status_code if","is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data","str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure","return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing","ID. :type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype:","from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth import utils","return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id,","= header.split() if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth = True","Response() res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body)","Return header string for key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set","@property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self):","validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\": code,","self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None","str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" #","TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing","is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions if","authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an interface","client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope)","JSON data. :param data: Data to JSON-encode. :type data: mixed :param headers: Dict","Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following","overridden in a subclass, thus this class cannot be directly used as a","or None on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self,","2.0 POST param: {0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\" in","= self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope =","data containing authorization information. :type data: dict :rtype: requests.Response \"\"\" try: # Verify","object from the given JSON data. :param data: Data to JSON-encode. :type data:","cannot be directly used as a provider. These are the methods that must","\"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason","redirect_uri: str :param code: Authorization code. :type code: str :rtype: requests.Response \"\"\" #",":type body: str :param headers: Dict of headers to include in the requests.","client_id) # Return True or False validate_client_secret(self, client_id, client_secret) # Return True or","conditions have been met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in","must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def","True or False validate_access(self) # Use this to validate your app session user","parameters. :param body: Buffer/string containing the response body. :type body: str :param headers:","ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth = self.authorization_class()","validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope):","ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following may be","is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id","a URI. This method will ignore the domain and path of the request,","Return mixed data or None on invalid persist_authorization_code(self, client_id, code, scope) # Return","to get the length used to generate tokens. :rtype: int \"\"\" return 40","def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self,","\"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise","types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that","are the methods that must be implemented in a subclass: validate_client_id(self, client_id) #","\"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data,","resource provider. This class provides an interface to validate an incoming request and","False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) #","scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses","Client secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype:","acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\"","grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret: Client secret.","response object from the given JSON data. :param data: Data to JSON-encode. :type","implemented in a subclass: get_authorization_header(self) # Return header string for key \"Authorization\" or","return auth header = header.split() if len(header) > 1 and header[0] == \"Bearer\":","self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id)","self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) #","ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str :param redirect_uri:","self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response from POST data. :param",") redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id,","3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response","return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth =","JSON-encode. :type data: mixed :param headers: Dict of headers to include in the","\"\"\"Handle an internal exception that was caught and suppressed. :param exc: Exception to","= \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri,",":type headers: dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response","# Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions","to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, )","is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code =","to return when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\")","Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)","uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in","# Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not",":param data: Data to JSON-encode. :type data: mixed :param headers: Dict of headers","= utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token,","scope) is_valid_refresh_token = data is not None # Return proper error responses on","def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is missing. :rtype: requests.Response","instead automatically parsing the query string parameters. :param uri: URI to parse for","URI. This method will ignore the domain and path of the request, instead","err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return","x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST","provider. This class provides an interface to validate an incoming request and authenticate","response_type in URL query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id","TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc)","import logging from requests import Response from io import StringIO try: from werkzeug.exceptions","StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response","False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id, scope) #","# Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) #","a provider. These are the methods that must be implemented in a subclass:","= self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id =","Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id","may be overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self)","URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in URL","must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \"","self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None",":param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type","!= \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri","io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception","_invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\"","requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\",","redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect","in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError","return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all other server errors","provides an interface to validate an incoming request and authenticate resource access. Certain","# Return value ignored Optionally, the following may be overridden to acheive desired","for key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and","\" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\")","err) # Generate authorization code code = self.generate_authorization_code() # Save information to be","\"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri):",") def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI. This method","persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self,","implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \"","redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200):","= True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\"","# Return True or False validate_scope(self, client_id, scope) # Return True or False","client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in,","status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code = status_code if headers","headers=None, status_code=200): \"\"\"Return a response object from the given JSON data. :param data:","token_type(self): \"\"\"Property method to get the access token type. :rtype: str \"\"\" return","from authorization code for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing","return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access",":rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None}","StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth","Must be \"refresh_token\". :type grant_type: str :param client_id: Client ID. :type client_id: str","\"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def",") # Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\":","\"\"\"Property method to get the access token type. :rtype: str \"\"\" return \"Bearer\"","type. Must be \"refresh_token\". :type grant_type: str :param client_id: Client ID. :type client_id:","a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id,","refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have been","to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\":","err): \"\"\"Return a HTTP 302 redirect response object containing the error. :param redirect_uri:","client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param grant_type: Desired","self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the","self._handle_exception(exc) # Catch missing parameters in request err = \"invalid_request\" if \"redirect_uri\" in","if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data)","an incoming request and authenticate resource access. Certain methods MUST be overridden in","of headers to include in the requests. :type headers: dict :param status_code: HTTP","access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get","proper error responses on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return","NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement","NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must implement",":type data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for","# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\")","self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id,","token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate","and expires_in attributes # on authorization if authorization was successful. # Return value","data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data","generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get the length used to","params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant =","Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required","or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) # Use","authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not header or not header.split:","data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError","{ \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self,","= \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else:","must be implemented in a subclass: validate_client_id(self, client_id) # Return True or False","NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error","following may be overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property","\" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def","get token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get","data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle get token","raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle get token from","the response body. :type body: str :param headers: Dict of headers to include","not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err =","= self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not","authorization code code = self.generate_authorization_code() # Save information to be used to validate","implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\")","in the requests. :type headers: dict :param status_code: HTTP status code. :type status_code:","response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI","code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return","information to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type,","access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( {","= self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope)","the following may be overridden to acheive desired behavior: @property token_length(self) @property token_type(self)","this class cannot be directly used as a provider. These are the methods","ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an interface to validate an","return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token,","\"\"\" # Ensure proper response_type if response_type != \"code\": err = \"unsupported_response_type\" return","POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing","token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self,","def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response.","scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope)","discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value","\"refresh_token\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret:","expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used to","not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh","self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used to validate later","method to get the token expiration time in seconds. :rtype: int \"\"\" return","return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) #","len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1]","self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request err","response from a URI. This method will ignore the domain and path of","data, headers=None, status_code=200): \"\"\"Return a response object from the given JSON data. :param","@property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of","response. :param response_type: Desired response type. Must be exactly \"code\". :type response_type: str","length used to generate tokens. :rtype: int \"\"\" return 40 @property def token_type(self):",":rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property method to get the","exception that was caught and suppressed. :param exc: Exception to process. :type exc:","access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) #","be \"refresh_token\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param","return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if","None client_id = None expires_in = None error = None def raise_error_if_invalid(self): if","= {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] =","\" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\")","return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch","False from_authorization_code(self, client_id, code, scope) # Return mixed data or None on invalid","return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response.",":param code: Authorization code. :type code: str :rtype: requests.Response \"\"\" # Ensure proper","client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True","is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider.","redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check","access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id,","redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses","(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\")","if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id in URL query\") if","Provider(object): \"\"\"Base provider class for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self,","the token expiration time in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self):","raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses","of the request, instead automatically parsing the query string parameters. :param uri: URI","client_id: str :param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect","self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope =","\"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing parameter","client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\"","err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code()","conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not","header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self):","\"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a","be \"authorization_code\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param","is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id,","\"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params)","raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must","is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access","must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement","response object representing the error. :param err: OAuth error message. :type err: str","data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None # Return","response from POST data. :param data: POST data containing authorization information. :type data:","return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope:",":rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the",":type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param code:","\"\"\"Property method to get the token expiration time in seconds. :rtype: int \"\"\"","validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id, scope) # Return","raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses","the length used to generate tokens. :rtype: int \"\"\" return 40 @property def","params: raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not in params:","ignore the domain and path of the request, instead automatically parsing the query","not header or not header.split: return auth header = header.split() if len(header) >","response. :param grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type: str :param","response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired response","Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions","= self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used to validate","logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object","authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access","access token HTTP response. :param grant_type: Desired grant type. Must be \"authorization_code\". :type","must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must implement \"","def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object):","requests. :type headers: dict :param status_code: HTTP status code. :type status_code: int :rtype:","refresh_token, scope) is_valid_refresh_token = data is not None # Return proper error responses","headers: dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\"","scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None #","access tokens. Certain methods MUST be overridden in a subclass, thus this class","TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not in params: raise TypeError(\"Missing","not in params: raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not","oauth import utils class Provider(object): \"\"\"Base provider class for different types of OAuth","# Handle get token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) #","Use this to validate your app session user # Return True or False","OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that was caught","str :param headers: Dict of headers to include in the requests. :type headers:","to generate tokens. :rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property method","Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\")","not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return","Must be \"authorization_code\". :type grant_type: str :param client_id: Client ID. :type client_id: str","access. Certain methods MUST be overridden in a subclass, thus this class cannot","OAuth error message. :type err: str :rtype: requests.Response \"\"\" params = {\"error\": err,","attributes # on authorization if authorization was successful. # Return value is ignored","provider. These are the methods that must be implemented in a subclass: get_authorization_header(self)","): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses",":param grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type: str :param client_id:","_make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the given parameters. :param","\"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def","not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider.","\"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions","server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\")","{0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data)","\"\"\" response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\"","OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise","raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not in params: raise","must be implemented in a subclass: get_authorization_header(self) # Return header string for key","Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return","# on authorization if authorization was successful. # Return value is ignored \"\"\"","interface to validate an incoming request and authenticate resource access. Certain methods MUST","is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\")","access token type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method","raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must","= StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect","body: Buffer/string containing the response body. :type body: str :param headers: Dict of","\"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error","refresh_token, **params): \"\"\"Generate access token HTTP response from a refresh token. :param grant_type:","except StandardError as exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\")","validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret) # Return True","access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return auth",":param body: Buffer/string containing the response body. :type body: str :param headers: Dict","self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() # Save information to",":type code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type !=","provider. This class manages authorization codes and access tokens. Certain methods MUST be","str :param client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect URI.","grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from a refresh","redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP","\" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ):","Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return","must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token,","Client redirect URI. :type redirect_uri: str :param err: OAuth error message. :type err:","response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code)","grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret =","the error. :param err: OAuth error message. :type err: str :rtype: requests.Response \"\"\"","res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302","self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all","int :rtype: requests.Response \"\"\" response_headers = {} if headers is not None: response_headers.update(headers)","None token = None client_id = None expires_in = None error = None","= header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return auth def","must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \"","\"\"\"Generate authorization code HTTP response. :param response_type: Desired response type. Must be exactly","class Provider(object): \"\"\"Base provider class for different types of OAuth 2.0 providers.\"\"\" def","refresh_token, scope) # Return mixed data or None on invalid persist_authorization_code(self, client_id, code,","header.split() if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth = True access_token","return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request","generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self):","str :param client_id: Client ID. :type client_id: str :param client_secret: Client secret. :type","exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id):","invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or","\"\"\"What to return when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return","scope) # Return proper error responses on invalid conditions if not is_valid_client_id: err","err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id,","status code. :type status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code =","Dict of headers to include in the requests. :type headers: dict :param status_code:","\"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self,","return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the token expiration time","Optionally, the following may be overridden to acheive desired behavior: @property token_length(self) @property","is not None # Return proper error responses on invalid conditions if not","from requests import Response from io import StringIO try: from werkzeug.exceptions import Unauthorized","__init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A","is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\"","code code = self.generate_authorization_code() # Save information to be used to validate later","Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) #","self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error","params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as","str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\": return","None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None","\"\"\"Get authorization object representing status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header()","redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth error message. :type","redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type if","self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id,","if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"]","is not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err):",":rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in params: raise","self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions if not is_valid_client_id:","# Return proper error responses on invalid conditions if not is_valid_client_id: err =","method to get the length used to generate tokens. :rtype: int \"\"\" return","self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once","return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object","\"\"\"Generate access token HTTP response from a refresh token. :param grant_type: Desired grant","raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must","> 1 and header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token,","implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\")","from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None on invalid persist_authorization_code(self,","type. Must be \"authorization_code\". :type grant_type: str :param client_id: Client ID. :type client_id:","self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token","not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement","self.generate_refresh_token() # Save information to be used to validate later requests self.persist_token_information( client_id=client_id,","the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError,","expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id,","Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} )",":type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What","token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( { \"access_token\":","that was caught and suppressed. :param exc: Exception to process. :type exc: Exception","URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions","not in params: raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not","reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class","uri: URI to parse for authorization information. :type uri: str :rtype: requests.Response \"\"\"","is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not","code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope):","self._handle_exception(exc) # Catch all other server errors err = \"server_error\" u = params[\"redirect_uri\"]","authorization information. :type data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0","not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except","POST data containing authorization information. :type data: dict :rtype: requests.Response \"\"\" try: #","a subclass, thus this class cannot be directly used as a resource provider.","str :param err: OAuth error message. :type err: str :rtype: requests.Response \"\"\" params","40 @property def token_type(self): \"\"\"Property method to get the access token type. :rtype:","data) # Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self,","if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle","\"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate","get_authorization_header(self) # Return header string for key \"Authorization\" or None validate_access_token(self, access_token, authorization)","client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses","https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from io import StringIO","code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\":","NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement","token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have been met","implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\")","= self.generate_authorization_code() # Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id,","self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc:","refresh token. :param grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type: str","def token_type(self): \"\"\"Property method to get the access token type. :rtype: str \"\"\"","return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object","to JSON-encode. :type data: mixed :param headers: Dict of headers to include in","return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } )","utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type in URL","ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing","err: str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None,","\"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status","authorization code for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required","be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response",":type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not","token expiration time in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate","later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\":","# Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id,",":param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token:","# Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions","Catch missing parameters in request err = \"invalid_request\" if \"redirect_uri\" in params: u","return self.refresh_token(**data) # Handle get token from authorization code for x in [\"redirect_uri\",","persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self,","the given JSON data. :param data: Data to JSON-encode. :type data: mixed :param","str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return","client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including","body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the given parameters. :param body:","\"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if","refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params):","grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type: str :param client_id: Client","self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request return","must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement","params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri,","generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get the length used","value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value","requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages","response_type: Desired response type. Must be exactly \"code\". :type response_type: str :param client_id:","object representing status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not","utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param","HTTP response from a refresh token. :param grant_type: Desired grant type. Must be","the requests. :type headers: dict :param status_code: HTTP status code. :type status_code: int","in a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret)","the domain and path of the request, instead automatically parsing the query string","self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id,","self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise","Return True or False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self,","token HTTP response. :param grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type:","original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have","manages authorization codes and access tokens. Certain methods MUST be overridden in a","scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement","werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth import utils class","auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization):","\"\"\"Generate a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type,","errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def","Unauthorized = Exception from oauth import utils class Provider(object): \"\"\"Base provider class for","self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is","\"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() # Save","param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters","a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a","mixed data or None on invalid persist_authorization_code(self, client_id, code, scope) # Return value","are the methods that must be implemented in a subclass: get_authorization_header(self) # Return",":type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\"","missing parameters in request err = \"invalid_request\" if \"redirect_uri\" in params: u =","This method will ignore the domain and path of the request, instead automatically","\"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP","all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement","value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) #","NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\")","code HTTP response. :param response_type: Desired response type. Must be exactly \"code\". :type",":param uri: URI to parse for authorization information. :type uri: str :rtype: requests.Response","None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes # on","was caught and suppressed. :param exc: Exception to process. :type exc: Exception \"\"\"","used as a resource provider. These are the methods that must be implemented","= self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be","containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param err:","err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return","message. :type err: str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None,","code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token.","= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id,","= \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response","error responses on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri,","in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all other","client_id = None expires_in = None error = None def raise_error_if_invalid(self): if not","given parameters. :param body: Buffer/string containing the response body. :type body: str :param","import utils class Provider(object): \"\"\"Base provider class for different types of OAuth 2.0",":param redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization code. :type","error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if","\"\"\"Return a JSON-encoded response object representing the error. :param err: OAuth error message.","self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token)","client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise","object from the given parameters. :param body: Buffer/string containing the response body. :type",":type response_type: str :param client_id: Client ID. :type client_id: str :param redirect_uri: Client","data=data, ) # Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type,","# Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all","raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class","requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json","class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization codes and access","def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope):","class cannot be directly used as a provider. These are the methods that","= params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on","requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect","\"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self,","Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from io","@property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method","token. :param grant_type: Desired grant type. Must be \"refresh_token\". :type grant_type: str :param","requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") #","client_id: str :param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token.","for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal","self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope)","to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in,","token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) # Return","Exception from oauth import utils class Provider(object): \"\"\"Base provider class for different types","is_valid_refresh_token = data is not None # Return proper error responses on invalid",":param err: OAuth error message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\":","= self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None # Return proper","if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) #","for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth","refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope):","# Save information to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope,","} ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI. This","invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token,","app session user # Return True or False from_authorization_code(self, client_id, code, scope) #","an interface to validate an incoming request and authenticate resource access. Certain methods","Client ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str :param","parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) #","redirect_uri: str :param err: OAuth error message. :type err: str :rtype: requests.Response \"\"\"","responses on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err)","# Catch all other server errors err = \"server_error\" u = params[\"redirect_uri\"] return","<filename>oauth/provider.py<gh_stars>1000+ # Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import","body. :type body: str :param headers: Dict of headers to include in the","None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self,","# Handle get token from authorization code for x in [\"redirect_uri\", \"code\"]: if","True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \"access_denied\" return","return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() # Save information","raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not in params: raise","\"\"\"Get authorization code response from a URI. This method will ignore the domain","token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token.","== \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid:","def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self,","required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc)","auth = self.authorization_class() header = self.get_authorization_header() if not header or not header.split: return","\" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id,","in data: return self.refresh_token(**data) # Handle get token from authorization code for x","providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that was caught and suppressed.","def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise","headers=None, status_code=200): \"\"\"Return a response object from the given parameters. :param body: Buffer/string","expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from","exactly \"code\". :type response_type: str :param client_id: Client ID. :type client_id: str :param","class cannot be directly used as a resource provider. These are the methods","int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str","self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement","\"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\"","err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is missing.","str :param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token. :type","token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type","proper error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\")","\"\"\"OAuth 2.0 authorization provider. This class manages authorization codes and access tokens. Certain","grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)","2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that was caught and","err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return","NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must","Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id","None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a","headers to include in the requests. :type headers: dict :param status_code: HTTP status","client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must implement \"","required OAuth 2.0 POST param: {0}\".format(x)) # Handle get token from refresh_token if","headers: Dict of headers to include in the requests. :type headers: dict :param","\" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self,","exc: Exception to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def","status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri parameter is missing. :rtype:","all conditions have been met access_token = self.generate_access_token() token_type = self.token_type expires_in =","a token response from POST data. :param data: POST data containing authorization information.","str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the token","exc): \"\"\"Handle an internal exception that was caught and suppressed. :param exc: Exception","params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate","params = utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing parameter response_type","on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None on","# Catch missing parameters in request err = \"invalid_request\" if \"redirect_uri\" in params:","client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise",":rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\")","later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return","str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization code.","None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data),","params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token =","response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect =","These are the methods that must be implemented in a subclass: validate_client_id(self, client_id)","2.0 authorization.\"\"\" is_oauth = False is_valid = None token = None client_id =","secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param","self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\")","This class provides an interface to validate an incoming request and authenticate resource","err): \"\"\"Return a JSON-encoded response object representing the error. :param err: OAuth error","parameters in request err = \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"]","the access token type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property","exc: self._handle_exception(exc) # Catch missing parameters in request err = \"invalid_request\" if \"redirect_uri\"","Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type","requests.Response \"\"\" # Ensure proper response_type if response_type != \"code\": err = \"unsupported_response_type\"","exc: self._handle_exception(exc) # Catch all other server errors err = \"server_error\" u =","user # Return True or False from_authorization_code(self, client_id, code, scope) # Return mixed","containing the response body. :type body: str :param headers: Dict of headers to","not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code","refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\":","\" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def","self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id,","get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses","auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must implement \" \"get_authorization_header.\")","expiration time in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a","data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for x","\"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None","\"\"\"OAuth 2.0 resource provider. This class provides an interface to validate an incoming","representing status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not header","the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth","{} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\"","# Return True or False validate_access(self) # Use this to validate your app","class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an interface to validate","\"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri =","= status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res","= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\",","query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in URL query\")","including the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason","2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing","Set is_valid=True, client_id, and expires_in attributes # on authorization if authorization was successful.","Generate access tokens once all conditions have been met access_token = self.generate_access_token() token_type","from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id,","is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\"scope\", \"\") is_valid_scope =","implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \"","generate tokens. :rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property method to","not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not","scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise","client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id, code,","value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following may","type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get","\"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self):","used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data,","mixed :param headers: Dict of headers to include in the requests. :type headers:","redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param grant_type: Desired grant type.","validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return","secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response","data: mixed :param headers: Dict of headers to include in the requests. :type","refresh_token) # Generate access tokens once all conditions have been met access_token =","Return proper error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return","get the access token type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self):","logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the","None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None,","return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\" return","err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\":","} ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token","scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token,","was successful. # Return value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization","original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have","query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id in URL query\")","self.generate_authorization_code() # Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code,","if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self,","if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code","params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as","scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code)","must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement","a JSON-encoded response object representing the error. :param err: OAuth error message. :type","client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must","if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri:","OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides",":rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when","# Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging","in URL query\") if \"client_id\" not in params: raise TypeError(\"Missing parameter client_id in",":type redirect_uri: str :param code: Authorization code. :type code: str :rtype: requests.Response \"\"\"","the query string parameters. :param uri: URI to parse for authorization information. :type","\"\"\"Get a token response from POST data. :param data: POST data containing authorization","as a provider. These are the methods that must be implemented in a","None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302)","to include in the requests. :type headers: dict :param status_code: HTTP status code.","\"\"\"Generate a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate","headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] =","client_secret) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token,","Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a","validate_access(self) # Use this to validate your app session user # Return True","dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" res","ImportError: Unauthorized = Exception from oauth import utils class Provider(object): \"\"\"Base provider class","return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id,","\"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized):","\"\"\"Base provider class for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc):","= self.authorization_class() header = self.get_authorization_header() if not header or not header.split: return auth","err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization","self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\",","Return proper error responses on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\"","\"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check","client_id, client_secret) # Return True or False validate_scope(self, client_id, scope) # Return True",") def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP","data. :param data: POST data containing authorization information. :type data: dict :rtype: requests.Response","from oauth import utils class Provider(object): \"\"\"Base provider class for different types of","proper response_type if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) #","request and authenticate resource access. Certain methods MUST be overridden in a subclass,","is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code","= Response() res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw =","code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses","= self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions if not","redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch","Unauthorized except ImportError: Unauthorized = Exception from oauth import utils class Provider(object): \"\"\"Base","self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response","validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) #","response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the error.","return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization codes","302 redirect response object containing the error. :param redirect_uri: Client redirect URI. :type","res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object containing",":rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype:","URI to parse for authorization information. :type uri: str :rtype: requests.Response \"\"\" params","not header.split: return auth header = header.split() if len(header) > 1 and header[0]","given JSON data. :param data: Data to JSON-encode. :type data: mixed :param headers:","response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err):",":type status_code: int :rtype: requests.Response \"\"\" response_headers = {} if headers is not","return when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class","if not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses must","HTTP response. :param response_type: Desired response type. Must be exactly \"code\". :type response_type:","get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired","Return value ignored Optionally, the following may be overridden to acheive desired behavior:","TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request err = \"invalid_request\"",":param client_id: Client ID. :type client_id: str :param client_secret: Client secret. :type client_secret:","client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired response type.","code) # Generate access tokens once all conditions have been met access_token =","True or False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id,","raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses","# Return True or False validate_client_secret(self, client_id, client_secret) # Return True or False","is_valid=True, client_id, and expires_in attributes # on authorization if authorization was successful. #","OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) #",":param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers =","requests import Response from io import StringIO try: from werkzeug.exceptions import Unauthorized except","@property def token_length(self): \"\"\"Property method to get the length used to generate tokens.","# Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None}","Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\":","or False validate_access(self) # Use this to validate your app session user #","if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect","discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error,","= self.generate_refresh_token() # Save information to be used to validate later requests self.persist_token_information(","HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" res = Response() res.status_code","raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0","grant type. Must be \"refresh_token\". :type grant_type: str :param client_id: Client ID. :type","def token_length(self): \"\"\"Property method to get the length used to generate tokens. :rtype:","client_id, refresh_token) # Return value ignored Optionally, the following may be overridden to","response object containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str","refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from a","client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" #","= self.get_authorization_header() if not header or not header.split: return auth header = header.split()","# Return header string for key \"Authorization\" or None validate_access_token(self, access_token, authorization) #","from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def persist_authorization_code(self, client_id,","Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if","if authorization was successful. # Return value is ignored \"\"\" @property def authorization_class(self):","or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes #","Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope","\"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response","access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() #","redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret,","= None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class","OAuth error message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400)","def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def","from a refresh token. :param grant_type: Desired grant type. Must be \"refresh_token\". :type","response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers,","self.authorization_class() header = self.get_authorization_header() if not header or not header.split: return auth header","Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from","scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope)","# Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope)","invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not","# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id,","utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a","\" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def","\"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes","self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth =",":param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper","missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch","not in params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except","expires_in = None error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error,","token type. :rtype: str \"\"\" return \"Bearer\" @property def token_expires_in(self): \"\"\"Property method to",":type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response","validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri):","refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access","implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\")","= \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() #","StandardError as exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\") def","if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) #","return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not","ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str :param refresh_token:","body: str :param headers: Dict of headers to include in the requests. :type","\"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\":","time in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random","if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource","in a subclass, thus this class cannot be directly used as a provider.","an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None token = None","redirect response object containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri:",":type client_id: str :param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh","Save information to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token,","[\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x))","must implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\"","and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return","json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token,","str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str","data ): raise NotImplementedError(\"Subclasses must implement \" \"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise","header = header.split() if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth =","MUST be overridden in a subclass, thus this class cannot be directly used","Client secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str","= \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def","def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def","return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri","AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization codes and access tokens.","validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes # on authorization","= None token = None client_id = None expires_in = None error =","\"\"\"Generate access token HTTP response. :param grant_type: Desired grant type. Must be \"authorization_code\".","token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri,","else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other server","client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id,","persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type,","\"\"\"Property method to get the length used to generate tokens. :rtype: int \"\"\"","Data to JSON-encode. :type data: mixed :param headers: Dict of headers to include","3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length)","\"persist_token_information.\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self,","# Return proper error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret):","tokens. Certain methods MUST be overridden in a subclass, thus this class cannot","authorization information. :type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if","code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope,","None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def","code. :type status_code: int :rtype: requests.Response \"\"\" response_headers = {} if headers is","requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") #","requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the","\"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self, client_id, code,","to get the access token type. :rtype: str \"\"\" return \"Bearer\" @property def","Response from io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized","is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope =","status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from the given","from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get token from","\"\"\"Generate a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate","HTTP 302 redirect response object containing the error. :param redirect_uri: Client redirect URI.","self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all other server errors return","a resource provider. These are the methods that must be implemented in a","\"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect =","str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str","as a resource provider. These are the methods that must be implemented in","HTTP response. :param grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type: str","scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise","that must be implemented in a subclass: validate_client_id(self, client_id) # Return True or","def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type:","params: raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not in params:","= data is not None # Return proper error responses on invalid conditions","access token HTTP response from a refresh token. :param grant_type: Desired grant type.","an internal exception that was caught and suppressed. :param exc: Exception to process.","persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses must","import Response from io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError:","\"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an","domain and path of the request, instead automatically parsing the query string parameters.","\" \"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def","in a subclass, thus this class cannot be directly used as a resource","get token from authorization code for x in [\"redirect_uri\", \"code\"]: if not data.get(x):","\" \"validate_access.\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\")","str :param code: Authorization code. :type code: str :rtype: requests.Response \"\"\" # Ensure",":param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure","client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses","client_id, and expires_in attributes # on authorization if authorization was successful. # Return","= {\"error\": err, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params)","def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth","exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as","request err = \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u,","Buffer/string containing the response body. :type body: str :param headers: Dict of headers","\"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except","!= \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id,","ignored Optionally, the following may be overridden to acheive desired behavior: @property token_length(self)","key \"Authorization\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in","tokens once all conditions have been met access_token = self.generate_access_token() token_type = self.token_type","except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\")","this to validate your app session user # Return True or False from_authorization_code(self,","tokens. :rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property method to get","status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" res = Response()","# Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response()","authorization if authorization was successful. # Return value is ignored \"\"\" @property def","int :rtype: requests.Response \"\"\" res = Response() res.status_code = status_code if headers is","\"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data","if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original","client_id in URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri","\"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization","self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None # Return proper error","provider. These are the methods that must be implemented in a subclass: validate_client_id(self,","method to get the access token type. :rtype: str \"\"\" return \"Bearer\" @property","grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret =","\"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\"","**kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an","redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access","if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err","invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return","self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri =","\"code\". :type response_type: str :param client_id: Client ID. :type client_id: str :param redirect_uri:","parse for authorization information. :type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri)","is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token",":rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype:","of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an internal exception that was","self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise","= self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper","error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\")","status_code: int :rtype: requests.Response \"\"\" response_headers = {} if headers is not None:","self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other server errors err","status_code=200): \"\"\"Return a response object from the given JSON data. :param data: Data","Return value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get","get_token_from_post_data(self, data): \"\"\"Get a token response from POST data. :param data: POST data","self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth","JSON-encoded response object representing the error. :param err: OAuth error message. :type err:","if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret","code=code, scope=scope) # Return redirection response params.update( {\"code\": code, \"response_type\": None, \"client_id\": None,","if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return","= reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0","code = self.generate_authorization_code() # Save information to be used to validate later requests","redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0","in params: raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError","as exc: self._handle_exception(exc) # Catch all other server errors err = \"server_error\" u","scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response(","the methods that must be implemented in a subclass: validate_client_id(self, client_id) # Return","err = \"invalid_request\" if \"redirect_uri\" in params: u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err)",":param data: POST data containing authorization information. :type data: dict :rtype: requests.Response \"\"\"","resource provider. These are the methods that must be implemented in a subclass:","authorization_class(self): return ResourceAuthorization def get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth","code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally,","err: OAuth error message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err},","class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self, reason, *args,","\"authorization_code\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret:","*args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \"\"\"A class containing","used to generate tokens. :rtype: int \"\"\" return 40 @property def token_type(self): \"\"\"Property","# Set is_valid=True, client_id, and expires_in attributes # on authorization if authorization was","seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code.","get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a URI. This method will ignore","raise TypeError(\"Missing parameter redirect_uri in URL query\") return self.get_authorization_code(**params) except TypeError as exc:","code: Authorization code. :type code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type","if not header or not header.split: return auth header = header.split() if len(header)","if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access =","for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0","auth) if not auth.is_valid: auth.error = \"access_denied\" return auth def get_authorization_header(self): raise NotImplementedError(\"Subclasses","implemented in a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id,","auth header = header.split() if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth","URI. :type redirect_uri: str :param err: OAuth error message. :type err: str :rtype:","\"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data","= logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from","# Return json response return self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in,","be overridden in a subclass, thus this class cannot be directly used as",":param grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type: str :param client_id:","= self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None # Return proper","Client redirect URI. :type redirect_uri: str :param code: Authorization code. :type code: str","True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) #","scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data)","once all conditions have been met access_token = self.generate_access_token() token_type = self.token_type expires_in","from the given JSON data. :param data: Data to JSON-encode. :type data: mixed","self._make_json_response( { \"access_token\": access_token, \"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def","as exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError","token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to","[\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param:","code, **params): \"\"\"Generate access token HTTP response. :param grant_type: Desired grant type. Must","None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider):","query string parameters. :param uri: URI to parse for authorization information. :type uri:","Desired response type. Must be exactly \"code\". :type response_type: str :param client_id: Client","def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information(","status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the error. :param","self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used","self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code)","client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token,","POST data. :param data: POST data containing authorization information. :type data: dict :rtype:","on authorization if authorization was successful. # Return value is ignored \"\"\" @property","implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\")","and suppressed. :param exc: Exception to process. :type exc: Exception \"\"\" logger =","True or False from_authorization_code(self, client_id, code, scope) # Return mixed data or None","if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err","containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None token =","token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property","None expires_in = None error = None def raise_error_if_invalid(self): if not self.is_valid: raise","def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\"Subclasses","from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from io import","OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid = None token = None client_id","expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) # Return value","int \"\"\" return 40 @property def token_type(self): \"\"\"Property method to get the access","**params): \"\"\"Generate access token HTTP response from a refresh token. :param grant_type: Desired","\"\"\" @property def token_length(self): \"\"\"Property method to get the length used to generate","= params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token","Certain methods MUST be overridden in a subclass, thus this class cannot be","import Unauthorized except ImportError: Unauthorized = Exception from oauth import utils class Provider(object):","grant_type: Desired grant type. Must be \"authorization_code\". :type grant_type: str :param client_id: Client","authorization object representing status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if","\"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self, reason,","in URL query\") if \"redirect_uri\" not in params: raise TypeError(\"Missing parameter redirect_uri in","def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret):","in params: raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\" not in","is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope",":rtype: requests.Response \"\"\" try: # Verify OAuth 2.0 Parameters for x in [\"grant_type\",","res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP","must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \"","authorization) # Set is_valid=True, client_id, and expires_in attributes # on authorization if authorization","representing the error. :param err: OAuth error message. :type err: str :rtype: requests.Response","= Exception from oauth import utils class Provider(object): \"\"\"Base provider class for different","is_oauth = False is_valid = None token = None client_id = None expires_in","grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param grant_type:","code for x in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth","return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request","\"Bearer\" @property def token_expires_in(self): \"\"\"Property method to get the token expiration time in","str :rtype: requests.Response \"\"\" # Ensure proper grant_type if grant_type != \"authorization_code\": return","authorization code response from a URI. This method will ignore the domain and","True or False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id,","self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err) # Generate","self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return","discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following may be overridden","\"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \"invalid_scope\" return self._make_redirect_error_response(redirect_uri, err)","uri): \"\"\"Get authorization code response from a URI. This method will ignore the","TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc:","\"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\"","ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return","\"\"\"Return a response object from the given JSON data. :param data: Data to","except StandardError as exc: self._handle_exception(exc) # Catch all other server errors err =","reason.\"\"\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class","of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not header or not","Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self)","or not header.split: return auth header = header.split() if len(header) > 1 and","and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if","\"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret)","= utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return","\"refresh_token\" in data: return self.refresh_token(**data) # Handle get token from authorization code for","URI. :type redirect_uri: str :param code: Authorization code. :type code: str :rtype: requests.Response","methods that must be implemented in a subclass: get_authorization_header(self) # Return header string","the given parameters. :param body: Buffer/string containing the response body. :type body: str",":param response_type: Desired response type. Must be exactly \"code\". :type response_type: str :param","header = self.get_authorization_header() if not header or not header.split: return auth header =","self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information","implement \" \"discard_refresh_token.\") class OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def","err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other","\"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response from a","requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\" not in params: raise TypeError(\"Missing","get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \"\"\"Generate access token HTTP response. :param","used as a provider. These are the methods that must be implemented in","codes and access tokens. Certain methods MUST be overridden in a subclass, thus","automatically parsing the query string parameters. :param uri: URI to parse for authorization","in seconds. :rtype: int \"\"\" return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization","# Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses","raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must","redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from the","access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes # on authorization if","overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self)","TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle get token from refresh_token",":param headers: Dict of headers to include in the requests. :type headers: dict","Client ID. :type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str","if len(header) > 1 and header[0] == \"Bearer\": auth.is_oauth = True access_token =","be overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self)","# Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the","redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object containing the error. :param","token = None client_id = None expires_in = None error = None def","containing authorization information. :type data: dict :rtype: requests.Response \"\"\" try: # Verify OAuth","\"token_type\": token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret,","is not None: response_headers.update(headers) response_headers[\"Content-Type\"] = \"application/json;charset=UTF-8\" response_headers[\"Cache-Control\"] = \"no-store\" response_headers[\"Pragma\"] = \"no-cache\"","authorization was successful. # Return value is ignored \"\"\" @property def authorization_class(self): return",":type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper response_type if response_type !=","return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self,","this class cannot be directly used as a resource provider. These are the","status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response","incoming request and authenticate resource access. Certain methods MUST be overridden in a","have been met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token","\"\"\"Return a HTTP 302 redirect response object containing the error. :param redirect_uri: Client","def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self, client_id,","StandardError as exc: self._handle_exception(exc) # Catch all other server errors err = \"server_error\"","err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope:",":rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization","validate your app session user # Return True or False from_authorization_code(self, client_id, code,","conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\")","Return True or False from_authorization_code(self, client_id, code, scope) # Return mixed data or","\"\"\"Return a response object from the given parameters. :param body: Buffer/string containing the","raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \"","\"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to return when the redirect_uri","client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored","token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to","None # Return proper error responses on invalid conditions if not (is_valid_client_id and","expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( { \"access_token\": access_token,","Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() #","\"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider): \"\"\"OAuth 2.0 authorization provider. This class manages authorization","authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have been","2.0 resource provider. This class provides an interface to validate an incoming request","Return True or False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self,","res = Response() res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw","error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This class provides an interface to","code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have been met","for authorization information. :type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try:","generate_access_token(self): \"\"\"Generate a random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self):","False is_valid = None token = None client_id = None expires_in = None","client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str","\"validate_client_secret.\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self,","res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return","utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length)","(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token:","@property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property def token_length(self): \"\"\"Property method to get","if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret","will ignore the domain and path of the request, instead automatically parsing the","a subclass: get_authorization_header(self) # Return header string for key \"Authorization\" or None validate_access_token(self,","return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if not is_valid_refresh_token: return self._make_json_error_response(\"invalid_grant\") #","requests.Response \"\"\" response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"] =","in params: raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\" not in","OAuth 2.0 POST param: {0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\"","responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not","conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access:","all other server errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err)","be exactly \"code\". :type response_type: str :param client_id: Client ID. :type client_id: str","a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \"\"\"Generate a","data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None # Return","Authorization code. :type code: str :rtype: requests.Response \"\"\" # Ensure proper grant_type if","validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise","on invalid conditions if not is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if","or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or","access tokens once all conditions have been met access_token = self.generate_access_token() token_type =","scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or","OAuthError(Unauthorized): \"\"\"OAuth error, including the OAuth error reason.\"\"\" def __init__(self, reason, *args, **kwargs):","client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id, scope): raise","ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False is_valid =","conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope","redirect_uri, **params): \"\"\"Generate authorization code HTTP response. :param response_type: Desired response type. Must","dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" response_headers","implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data","response type. Must be exactly \"code\". :type response_type: str :param client_id: Client ID.","params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on invalid","refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \"\"\" # Ensure proper grant_type","not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return","the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth","Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token)","get the length used to generate tokens. :rtype: int \"\"\" return 40 @property","random access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random","from POST data. :param data: POST data containing authorization information. :type data: dict","client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from a refresh token.","redirect_uri) scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code,","\"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x))","successful. # Return value is ignored \"\"\" @property def authorization_class(self): return ResourceAuthorization def","def _make_redirect_error_response(self, redirect_uri, err): \"\"\"Return a HTTP 302 redirect response object containing the","class provides an interface to validate an incoming request and authenticate resource access.","be directly used as a resource provider. These are the methods that must","!= \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id,","def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object representing the error. :param err:","\"response_type\": None, \"client_id\": None, \"redirect_uri\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect},","code response from a URI. This method will ignore the domain and path",":param client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect URI. :type","params.update( {\"code\": code, \"response_type\": None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri,","object containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param","2.0 POST param: {0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch","code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token,","process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None,","raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type,","redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \"\"\" # Ensure proper","status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res def","@property def token_expires_in(self): \"\"\"Property method to get the token expiration time in seconds.","def token_expires_in(self): \"\"\"Property method to get the token expiration time in seconds. :rtype:","\"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\" return self._make_redirect_error_response(redirect_uri, err)","status of authentication.\"\"\" auth = self.authorization_class() header = self.get_authorization_header() if not header or","\"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded response object","\"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code,","status_code=200): \"\"\"Return a response object from the given parameters. :param body: Buffer/string containing","value ignored Optionally, the following may be overridden to acheive desired behavior: @property","\"client_id\" not in params: raise TypeError(\"Missing parameter client_id in URL query\") if \"redirect_uri\"","is_valid_client_id: err = \"unauthorized_client\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \"access_denied\"","the methods that must be implemented in a subclass: get_authorization_header(self) # Return header","utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params):","path of the request, instead automatically parsing the query string parameters. :param uri:","method will ignore the domain and path of the request, instead automatically parsing","logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return a response object from the given","self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have been met access_token","= \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)","def _make_json_response(self, data, headers=None, status_code=200): \"\"\"Return a response object from the given JSON","implement \" \"get_authorization_header.\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\"Subclasses must implement \" \"validate_token.\")","token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get token",":rtype: requests.Response \"\"\" response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\"Content-Type\"]","request, instead automatically parsing the query string parameters. :param uri: URI to parse","or False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id, scope)","err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get","client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization","u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response","# Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from","is_valid_access = self.validate_access() scope = params.get(\"scope\", \"\") is_valid_scope = self.validate_scope(client_id, scope) # Return","desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \"\"\" @property","query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in","invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None on invalid","POST param: {0}\".format(x)) # Handle get token from refresh_token if \"refresh_token\" in data:","refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle get token from authorization","information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return","headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri,","Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions","# Ensure proper response_type if response_type != \"code\": err = \"unsupported_response_type\" return self._make_redirect_error_response(redirect_uri,","response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return a JSON-encoded","refresh_token) # Return value ignored Optionally, the following may be overridden to acheive","import json import logging from requests import Response from io import StringIO try:","None, \"client_id\": None, \"redirect_uri\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\"Location\": redirect},","include in the requests. :type headers: dict :param status_code: HTTP status code. :type","in [\"grant_type\", \"client_id\", \"client_secret\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST","data: return self.refresh_token(**data) # Handle get token from authorization code for x in","@property def token_type(self): \"\"\"Property method to get the access token type. :rtype: str","\" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement \" \"discard_refresh_token.\") class","# Return True or False from_authorization_code(self, client_id, code, scope) # Return mixed data","mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed","def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def","request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: self._handle_exception(exc) # Catch all other server","Catch all other server errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u,","in URL query\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing","exc: Exception \"\"\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\"\", headers=None, status_code=200): \"\"\"Return","data: Data to JSON-encode. :type data: mixed :param headers: Dict of headers to","Return True or False validate_access(self) # Use this to validate your app session","ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored","authorization code HTTP response. :param response_type: Desired response type. Must be exactly \"code\".","self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri:","parameters. :param uri: URI to parse for authorization information. :type uri: str :rtype:","def discard_authorization_code(self, client_id, code): raise NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id,","client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri:","subclass: get_authorization_header(self) # Return header string for key \"Authorization\" or None validate_access_token(self, access_token,","validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses","Handle get token from refresh_token if \"refresh_token\" in data: return self.refresh_token(**data) # Handle","\"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code response","return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\" return","error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth error","return self._make_json_error_response(\"invalid_grant\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens","data or None on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored","and path of the request, instead automatically parsing the query string parameters. :param","2.0 authorization provider. This class manages authorization codes and access tokens. Certain methods","auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error =","Catch all other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must","generate_refresh_token(self): \"\"\"Generate a random refresh token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self,","utils class Provider(object): \"\"\"Base provider class for different types of OAuth 2.0 providers.\"\"\"","code, scope) # Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token,","grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)","is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope","**kwargs) class ResourceAuthorization(object): \"\"\"A class containing an OAuth 2.0 authorization.\"\"\" is_oauth = False","subclass, thus this class cannot be directly used as a provider. These are","= \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a","Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import","and header[0] == \"Bearer\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if","header.split: return auth header = header.split() if len(header) > 1 and header[0] ==","to parse for authorization information. :type uri: str :rtype: requests.Response \"\"\" params =","NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in,","= self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save","object representing the error. :param err: OAuth error message. :type err: str :rtype:","def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \"\"\"Generate access token HTTP response from","be implemented in a subclass: get_authorization_header(self) # Return header string for key \"Authorization\"","return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \"\"\"Get a token response from POST data.","scope) # Return mixed data or None on invalid persist_authorization_code(self, client_id, code, scope)","implement \" \"validate_scope.\") def validate_access(self): raise NotImplementedError(\"Subclasses must implement \" \"validate_access.\") def from_authorization_code(self,","= params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc)","NotImplementedError(\"Subclasses must implement \" \"discard_authorization_code.\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\"Subclasses must implement","access token. :rtype: str \"\"\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \"\"\"Generate a random refresh","def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\"Subclasses must implement \" \"validate_redirect_uri.\") def validate_scope(self, client_id,","that must be implemented in a subclass: get_authorization_header(self) # Return header string for","a HTTP 302 redirect response object containing the error. :param redirect_uri: Client redirect","scope) # Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope)","caught and suppressed. :param exc: Exception to process. :type exc: Exception \"\"\" logger","\"from_refresh_token.\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\"Subclasses must implement \" \"persist_authorization_code.\") def","proper grant_type if grant_type != \"refresh_token\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id =","get_authorization(self): \"\"\"Get authorization object representing status of authentication.\"\"\" auth = self.authorization_class() header =","internal exception that was caught and suppressed. :param exc: Exception to process. :type","= None expires_in = None error = None def raise_error_if_invalid(self): if not self.is_valid:","when the redirect_uri parameter is missing. :rtype: requests.Response \"\"\" return self._make_json_error_response(\"invalid_request\") class AuthorizationProvider(Provider):","self.is_valid: raise OAuthError(self.error, \"OAuth authorization error\") class ResourceProvider(Provider): \"\"\"OAuth 2.0 resource provider. This",":param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \"\"\" res =","TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except","return 3600 def generate_authorization_code(self): \"\"\"Generate a random authorization code. :rtype: str \"\"\" return","json import logging from requests import Response from io import StringIO try: from","information. :type uri: str :rtype: requests.Response \"\"\" params = utils.url_query_params(uri) try: if \"response_type\"","class for different types of OAuth 2.0 providers.\"\"\" def _handle_exception(self, exc): \"\"\"Handle an","suppressed. :param exc: Exception to process. :type exc: Exception \"\"\" logger = logging.getLogger(__name__)","error message. :type err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def","if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\"invalid_grant\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\")","code, scope) is_valid_grant = data is not None # Return proper error responses","proper grant_type if grant_type != \"authorization_code\": return self._make_json_error_response(\"unsupported_grant_type\") # Check conditions is_valid_client_id =","not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) # Handle get","directly used as a resource provider. These are the methods that must be","or False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri)","Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) #","\"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \" \"validate_client_secret.\") def validate_redirect_uri(self,","\"from_authorization_code.\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\"Subclasses must implement \" \"from_refresh_token.\") def","used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update(","**params): \"\"\"Generate access token HTTP response. :param grant_type: Desired grant type. Must be","def validate_scope(self, client_id, scope): raise NotImplementedError(\"Subclasses must implement \" \"validate_scope.\") def validate_access(self): raise","be implemented in a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self,","server errors err = \"server_error\" u = params[\"redirect_uri\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self,","= \"no-store\" response_headers[\"Pragma\"] = \"no-cache\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \"\"\"Return","import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from","authenticate resource access. Certain methods MUST be overridden in a subclass, thus this","{0}\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in","to validate an incoming request and authenticate resource access. Certain methods MUST be","try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth import","Generate authorization code code = self.generate_authorization_code() # Save information to be used to","from the given parameters. :param body: Buffer/string containing the response body. :type body:","as exc: self._handle_exception(exc) # Catch missing parameters in request err = \"invalid_request\" if",":type client_id: str :param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client","to validate your app session user # Return True or False from_authorization_code(self, client_id,",":type data: mixed :param headers: Dict of headers to include in the requests.","in [\"redirect_uri\", \"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param:","None on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id,","subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret) # Return","client_secret) # Return True or False validate_scope(self, client_id, scope) # Return True or","to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests","token_type, \"expires_in\": expires_in, \"refresh_token\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \"\"\"Get authorization code","the request, instead automatically parsing the query string parameters. :param uri: URI to","NotImplementedError(\"Subclasses must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement","must implement \" \"validate_client_id.\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\"Subclasses must implement \"","= None client_id = None expires_in = None error = None def raise_error_if_invalid(self):","not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate","self.get_authorization_header() if not header or not header.split: return auth header = header.split() if","Must be exactly \"code\". :type response_type: str :param client_id: Client ID. :type client_id:","token_length(self): \"\"\"Property method to get the length used to generate tokens. :rtype: int","client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri:","False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) # Use this","err: str :rtype: requests.Response \"\"\" return self._make_json_response({\"error\": err}, status_code=400) def _invalid_redirect_uri_response(self): \"\"\"What to","from a URI. This method will ignore the domain and path of the","str \"\"\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \"\"\"Generate authorization code","other server errors return self._make_json_error_response(\"server_error\") def validate_client_id(self, client_id): raise NotImplementedError(\"Subclasses must implement \"","\"code\"]: if not data.get(x): raise TypeError(\"Missing required OAuth 2.0 POST param: {0}\".format(x)) return","to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self)","if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\"invalid_client\") if not is_valid_scope: return self._make_json_error_response(\"invalid_scope\") if",":type err: str :rtype: requests.Response \"\"\" params = {\"error\": err, \"response_type\": None, \"client_id\":","\"response_type\" not in params: raise TypeError(\"Missing parameter response_type in URL query\") if \"client_id\"","try: # Verify OAuth 2.0 Parameters for x in [\"grant_type\", \"client_id\", \"client_secret\"]: if"],"string":"[\n \"a response object from the given parameters. :param body: Buffer/string containing the response\",\n \"resource access. Certain methods MUST be overridden in a subclass, thus this class\",\n \"# Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc)\",\n \"params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) #\",\n \"is_valid = None token = None client_id = None expires_in = None error\",\n \"# Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all\",\n \"grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type\",\n \"header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True,\",\n \"or False from_authorization_code(self, client_id, code, scope) # Return mixed data or None on\",\n \"response object from the given parameters. :param body: Buffer/string containing the response body.\",\n \"error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs)\",\n \"authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token = None client_id = None\",\n \"is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard\",\n \"super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth\",\n \"refresh_token = self.generate_refresh_token() # Save information to be used to validate later requests\",\n \"= False is_valid = None token = None client_id = None expires_in =\",\n \"logging from requests import Response from io import StringIO try: from werkzeug.exceptions import\",\n \"self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard\",\n \"This class manages authorization codes and access tokens. Certain methods MUST be overridden\",\n \"client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return\",\n \"not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err =\",\n \"response body. :type body: str :param headers: Dict of headers to include in\",\n \"\\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token\",\n \"= self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not\",\n \"param: {0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\" in data: return\",\n \"to get the token expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600\",\n \"redirect_uri) # Return True or False validate_access(self) # Use this to validate your\",\n \"be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token,\",\n \"self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None # Return proper error\",\n \"cannot be directly used as a resource provider. These are the methods that\",\n \"error. :param err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return\",\n \"expires_in attributes # on authorization if authorization was successful. # Return value is\",\n \"if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response()\",\n \"Ensure proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self):\",\n \"thus this class cannot be directly used as a resource provider. These are\",\n \"is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is\",\n \"# Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False\",\n \"token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise\",\n \"methods that must be implemented in a subclass: validate_client_id(self, client_id) # Return True\",\n \"\\\"\\\"\\\" res = Response() res.status_code = status_code if headers is not None: res.headers.update(headers)\",\n \"\\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return\",\n \"def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header\",\n \"refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the\",\n \"str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\":\",\n \"\\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration\",\n \"return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope\",\n \"validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise\",\n \"= params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from\",\n \"error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\":\",\n \":rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype:\",\n \"random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri,\",\n \"data. :param data: Data to JSON-encode. :type data: mixed :param headers: Dict of\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement\",\n \"\\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type,\",\n \"x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0\",\n \"return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get the access token type.\",\n \"def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given parameters.\",\n \"status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers\",\n \"to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection\",\n \"token HTTP response from a refresh token. :param grant_type: Desired grant type. Must\",\n \"err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data. :param data:\",\n \"def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI. This method will\",\n \":param redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth error message.\",\n \"on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant\",\n \"self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\":\",\n \"\\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self,\",\n \"Exception to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self,\",\n \"# Generate authorization code code = self.generate_authorization_code() # Save information to be used\",\n \"scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None #\",\n \":param err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params =\",\n \":rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class\",\n \"data is not None # Return proper error responses on invalid conditions if\",\n \"directly used as a provider. These are the methods that must be implemented\",\n \"return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter\",\n \"response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check\",\n \"HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if\",\n \"self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes and\",\n \"# Use this to validate your app session user # Return True or\",\n \"string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id,\",\n \"expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params):\",\n \"# Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) #\",\n \"is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object\",\n \"\\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check\",\n \"not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return\",\n \"client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id,\",\n \"self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not\",\n \"u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc:\",\n \"parsing the query string parameters. :param uri: URI to parse for authorization information.\",\n \"is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is\",\n \"validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) # Use this to\",\n \"get the token expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def\",\n \"provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle\",\n \"str :param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect URI.\",\n \"implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"# Generate access tokens once all conditions have been met access_token = self.generate_access_token()\",\n \"on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope:\",\n \":param exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc)\",\n \":type grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret: Client\",\n \"missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This\",\n \"client_id, redirect_uri) # Return True or False validate_access(self) # Use this to validate\",\n \"string parameters. :param uri: URI to parse for authorization information. :type uri: str\",\n \"class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token\",\n \"= None error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth\",\n \"{ \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self,\",\n \"\\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret)\",\n \"token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the\",\n \"= params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\")\",\n \"not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization\",\n \"str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params:\",\n \"def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data. :param data: POST\",\n \"client_id, refresh_token, scope) # Return mixed data or None on invalid persist_authorization_code(self, client_id,\",\n \"refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored\",\n \"parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization\",\n \"to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\",\",\n \"Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID.\",\n \"class manages authorization codes and access tokens. Certain methods MUST be overridden in\",\n \"def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth\",\n \"from io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized =\",\n \"URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters\",\n \"\\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302)\",\n \"err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\":\",\n \"not None # Return proper error responses on invalid conditions if not (is_valid_client_id\",\n \"self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from\",\n \"reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\"\",\n \"{\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return\",\n \"redirect URI. :type redirect_uri: str :param err: OAuth error message. :type err: str\",\n \"response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, }\",\n \"except ImportError: Unauthorized = Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider\",\n \"generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the length\",\n \"redirect URI. :type redirect_uri: str :param code: Authorization code. :type code: str :rtype:\",\n \"params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST\",\n \"parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all\",\n \"a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret) #\",\n \"is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access\",\n \"data): \\\"\\\"\\\"Get a token response from POST data. :param data: POST data containing\",\n \"None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type,\",\n \"return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other server errors\",\n \"client_id: Client ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str\",\n \"scope) is_valid_grant = data is not None # Return proper error responses on\",\n \"header or not header.split: return auth header = header.split() if len(header) > 1\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must\",\n \"Handle get token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not\",\n \"a response object from the given JSON data. :param data: Data to JSON-encode.\",\n \"Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID.\",\n \"type. Must be exactly \\\"code\\\". :type response_type: str :param client_id: Client ID. :type\",\n \"refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\":\",\n \"client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant\",\n \"conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope =\",\n \"_handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught and suppressed. :param exc:\",\n \"random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random\",\n \":rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\": err =\",\n \"or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original\",\n \"in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return\",\n \":type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type !=\",\n \"None error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization\",\n \"code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type\",\n \":rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if headers is not\",\n \"requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None,\",\n \"def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught and suppressed. :param\",\n \"not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") #\",\n \"data: POST data containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try:\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth\",\n \"authorization codes and access tokens. Certain methods MUST be overridden in a subclass,\",\n \"= utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in\",\n \"self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have been met access_token\",\n \"utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length)\",\n \"return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope =\",\n \"is_valid_grant = data is not None # Return proper error responses on invalid\",\n \"error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason =\",\n \"redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization code. :type code:\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must\",\n \"client_id, code, scope) # Return mixed data or None on invalid from_refresh_token(self, client_id,\",\n \"be directly used as a provider. These are the methods that must be\",\n \":rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\")\",\n \"information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters\",\n \"redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\":\",\n \"met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token()\",\n \"response_type: str :param client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect\",\n \"if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if\",\n \"try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\")\",\n \"code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code\",\n \"self.refresh_token(**data) # Handle get token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]:\",\n \"\\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]:\",\n \"class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid\",\n \"access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def\",\n \"1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth)\",\n \"refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI.\",\n \"def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\"\",\n \"dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x in\",\n \"auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\",\",\n \"\\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get the access token\",\n \"_make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing the error.\",\n \"different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception\",\n \"from_authorization_code(self, client_id, code, scope) # Return mixed data or None on invalid from_refresh_token(self,\",\n \"subclass, thus this class cannot be directly used as a resource provider. These\",\n \"except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request err =\",\n \"status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {}\",\n \"is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data\",\n \"response from a refresh token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\".\",\n \"parameter response_type in URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter\",\n \"_make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given JSON data.\",\n \"value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization\",\n \"token response from POST data. :param data: POST data containing authorization information. :type\",\n \"False validate_access(self) # Use this to validate your app session user # Return\",\n \"header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not\",\n \"response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"]\",\n \"= \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"validate an incoming request and authenticate resource access. Certain methods MUST be overridden\",\n \"OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args,\",\n \"scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\":\",\n \"conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope\",\n \"= self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data =\",\n \":type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200):\",\n \"must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \":type redirect_uri: str :param err: OAuth error message. :type err: str :rtype: requests.Response\",\n \"# Return mixed data or None on invalid persist_authorization_code(self, client_id, code, scope) #\",\n \"other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def\",\n \"if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token from authorization code\",\n \"Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x):\",\n \"URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in URL\",\n \"token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time in seconds. :rtype: int\",\n \"a refresh token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type:\",\n \"errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data):\",\n \"URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type\",\n \"params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response\",\n \"behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def\",\n \"session user # Return True or False from_authorization_code(self, client_id, code, scope) # Return\",\n \"str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\": err\",\n \"methods MUST be overridden in a subclass, thus this class cannot be directly\",\n \"refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code):\",\n \"**params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response type. Must be\",\n \"discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token):\",\n \"\\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) #\",\n \"thus this class cannot be directly used as a provider. These are the\",\n \"authorization provider. This class manages authorization codes and access tokens. Certain methods MUST\",\n \"a subclass, thus this class cannot be directly used as a provider. These\",\n \"on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope,\",\n \"been met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token =\",\n \"{\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params)\",\n \"as exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self,\",\n \"return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens\",\n \"and authenticate resource access. Certain methods MUST be overridden in a subclass, thus\",\n \"and access tokens. Certain methods MUST be overridden in a subclass, thus this\",\n \"= self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data =\",\n \"not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access()\",\n \"These are the methods that must be implemented in a subclass: get_authorization_header(self) #\",\n \"# Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self):\",\n \"in a subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or None\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if headers is not None:\",\n \"client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a refresh token. :param\",\n \"parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter\",\n \"raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as\",\n \"not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate\",\n \"your app session user # Return True or False from_authorization_code(self, client_id, code, scope)\",\n \"= \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def\",\n \"self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once\",\n \"_make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param err: OAuth\",\n \":type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if\",\n \"is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data\",\n \"str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure\",\n \"return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing\",\n \"ID. :type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype:\",\n \"from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth import utils\",\n \"return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id,\",\n \"= header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True\",\n \"Response() res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body)\",\n \"Return header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set\",\n \"@property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self):\",\n \"validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code,\",\n \"self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None\",\n \"str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" #\",\n \"TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing\",\n \"is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions if\",\n \"authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface\",\n \"client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope)\",\n \"JSON data. :param data: Data to JSON-encode. :type data: mixed :param headers: Dict\",\n \"Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following\",\n \"overridden in a subclass, thus this class cannot be directly used as a\",\n \"or None on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self,\",\n \"2.0 POST param: {0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\" in\",\n \"= self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope =\",\n \"data containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify\",\n \"object from the given JSON data. :param data: Data to JSON-encode. :type data:\",\n \"cannot be directly used as a provider. These are the methods that must\",\n \"\\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason\",\n \"redirect_uri: str :param code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" #\",\n \":type body: str :param headers: Dict of headers to include in the requests.\",\n \"client_id) # Return True or False validate_client_secret(self, client_id, client_secret) # Return True or\",\n \"conditions have been met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in\",\n \"must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def\",\n \"True or False validate_access(self) # Use this to validate your app session user\",\n \"parameters. :param body: Buffer/string containing the response body. :type body: str :param headers:\",\n \"ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class()\",\n \"validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope):\",\n \"ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following may be\",\n \"is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id\",\n \"a URI. This method will ignore the domain and path of the request,\",\n \"Return mixed data or None on invalid persist_authorization_code(self, client_id, code, scope) # Return\",\n \"to get the length used to generate tokens. :rtype: int \\\"\\\"\\\" return 40\",\n \"def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self,\",\n \"\\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise\",\n \"types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that\",\n \"are the methods that must be implemented in a subclass: validate_client_id(self, client_id) #\",\n \"\\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data,\",\n \"resource provider. This class provides an interface to validate an incoming request and\",\n \"False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) #\",\n \"scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses\",\n \"Client secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype:\",\n \"acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\"\",\n \"grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret: Client secret.\",\n \"response object from the given JSON data. :param data: Data to JSON-encode. :type\",\n \"implemented in a subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or\",\n \"return auth header = header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\":\",\n \"self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id)\",\n \"self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) #\",\n \"ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str :param redirect_uri:\",\n \"self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data. :param\",\n \") redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id,\",\n \"3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response\",\n \"return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth =\",\n \"JSON-encode. :type data: mixed :param headers: Dict of headers to include in the\",\n \"\\\"\\\"\\\"Handle an internal exception that was caught and suppressed. :param exc: Exception to\",\n \"= \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri,\",\n \":type headers: dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response\",\n \"# Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions\",\n \"to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, )\",\n \"is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code =\",\n \"to return when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\")\",\n \"Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)\",\n \"uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in\",\n \"# Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not\",\n \":param data: Data to JSON-encode. :type data: mixed :param headers: Dict of headers\",\n \"= utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token,\",\n \"scope) is_valid_refresh_token = data is not None # Return proper error responses on\",\n \"def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is missing. :rtype: requests.Response\",\n \"instead automatically parsing the query string parameters. :param uri: URI to parse for\",\n \"URI. This method will ignore the domain and path of the request, instead\",\n \"err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return\",\n \"x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST\",\n \"provider. This class provides an interface to validate an incoming request and authenticate\",\n \"response_type in URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id\",\n \"TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc)\",\n \"import logging from requests import Response from io import StringIO try: from werkzeug.exceptions\",\n \"StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response\",\n \"False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id, scope) #\",\n \"# Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) #\",\n \"a provider. These are the methods that must be implemented in a subclass:\",\n \"= self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id =\",\n \"Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id\",\n \"may be overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self)\",\n \"URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL\",\n \"must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None\",\n \":param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type\",\n \"!= \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri\",\n \"io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception\",\n \"_invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\"\",\n \"requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\",\",\n \"redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect\",\n \"in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError\",\n \"return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all other server errors\",\n \"provides an interface to validate an incoming request and authenticate resource access. Certain\",\n \"# Return value ignored Optionally, the following may be overridden to acheive desired\",\n \"for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and\",\n \"\\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\")\",\n \"err) # Generate authorization code code = self.generate_authorization_code() # Save information to be\",\n \"\\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri):\",\n \") def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI. This method\",\n \"persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self,\",\n \"implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200):\",\n \"= True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\"\",\n \"# Return True or False validate_scope(self, client_id, scope) # Return True or False\",\n \"client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in,\",\n \"status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if headers\",\n \"headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given JSON data. :param data:\",\n \"token_type(self): \\\"\\\"\\\"Property method to get the access token type. :rtype: str \\\"\\\"\\\" return\",\n \"from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing\",\n \"return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access\",\n \":rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None}\",\n \"StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth\",\n \"Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type client_id: str\",\n \"\\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def\",\n \") # Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\":\",\n \"\\\"\\\"\\\"Property method to get the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\"\",\n \"type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type client_id:\",\n \"a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id,\",\n \"refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have been\",\n \"to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\":\",\n \"err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing the error. :param redirect_uri:\",\n \"client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired\",\n \"self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the\",\n \"self._handle_exception(exc) # Catch missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in\",\n \"if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data)\",\n \"an incoming request and authenticate resource access. Certain methods MUST be overridden in\",\n \"of headers to include in the requests. :type headers: dict :param status_code: HTTP\",\n \"access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get\",\n \"proper error responses on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must implement\",\n \":type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for\",\n \"# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\")\",\n \"self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id,\",\n \"token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate\",\n \"and expires_in attributes # on authorization if authorization was successful. # Return value\",\n \"data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data\",\n \"generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the length used to\",\n \"params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant =\",\n \"Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required\",\n \"or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) # Use\",\n \"authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not header or not header.split:\",\n \"data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError\",\n \"{ \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self,\",\n \"= \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else:\",\n \"must be implemented in a subclass: validate_client_id(self, client_id) # Return True or False\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error\",\n \"following may be overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property\",\n \"\\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def\",\n \"get token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get\",\n \"data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token\",\n \"raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token from\",\n \"the response body. :type body: str :param headers: Dict of headers to include\",\n \"not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err =\",\n \"= self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not\",\n \"authorization code code = self.generate_authorization_code() # Save information to be used to validate\",\n \"implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\")\",\n \"in the requests. :type headers: dict :param status_code: HTTP status code. :type status_code:\",\n \"response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI\",\n \"code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return\",\n \"information to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type,\",\n \"access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( {\",\n \"= self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope)\",\n \"the following may be overridden to acheive desired behavior: @property token_length(self) @property token_type(self)\",\n \"this class cannot be directly used as a provider. These are the methods\",\n \"ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface to validate an\",\n \"return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token,\",\n \"\\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return\",\n \"POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing\",\n \"token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self,\",\n \"def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response.\",\n \"scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope)\",\n \"discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value\",\n \"\\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret:\",\n \"expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used to\",\n \"not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh\",\n \"self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used to validate later\",\n \"method to get the token expiration time in seconds. :rtype: int \\\"\\\"\\\" return\",\n \"return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) #\",\n \"len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1]\",\n \"self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request err\",\n \"response from a URI. This method will ignore the domain and path of\",\n \"data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given JSON data. :param\",\n \"@property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of\",\n \"response. :param response_type: Desired response type. Must be exactly \\\"code\\\". :type response_type: str\",\n \"length used to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self):\",\n \":rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get the\",\n \"exception that was caught and suppressed. :param exc: Exception to process. :type exc:\",\n \"access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) #\",\n \"be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param\",\n \"return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if\",\n \"None client_id = None expires_in = None error = None def raise_error_if_invalid(self): if\",\n \"= {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] =\",\n \"\\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\")\",\n \"return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch\",\n \"False from_authorization_code(self, client_id, code, scope) # Return mixed data or None on invalid\",\n \"return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response.\",\n \":param code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper\",\n \"client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True\",\n \"is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider.\",\n \"redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check\",\n \"access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id,\",\n \"redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses\",\n \"(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\")\",\n \"if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if\",\n \"Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self,\",\n \"the token expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self):\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses\",\n \"of the request, instead automatically parsing the query string parameters. :param uri: URI\",\n \"client_id: str :param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect\",\n \"self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope =\",\n \"\\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter\",\n \"client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code()\",\n \"conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not\",\n \"header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self):\",\n \"\\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a\",\n \"be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param\",\n \"is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id,\",\n \"\\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params)\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must\",\n \"is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access\",\n \"must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"response object representing the error. :param err: OAuth error message. :type err: str\",\n \"data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None # Return\",\n \"response from POST data. :param data: POST data containing authorization information. :type data:\",\n \"return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope:\",\n \":rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the\",\n \":type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param code:\",\n \"\\\"\\\"\\\"Property method to get the token expiration time in seconds. :rtype: int \\\"\\\"\\\"\",\n \"validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id, scope) # Return\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses\",\n \"the length used to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def\",\n \"params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not in params:\",\n \"ignore the domain and path of the request, instead automatically parsing the query\",\n \"not header or not header.split: return auth header = header.split() if len(header) >\",\n \"response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param\",\n \"response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response\",\n \"Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions\",\n \"= self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used to validate\",\n \"logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object\",\n \"authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access\",\n \"access token HTTP response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type\",\n \"must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object):\",\n \"requests. :type headers: dict :param status_code: HTTP status code. :type status_code: int :rtype:\",\n \"refresh_token, scope) is_valid_refresh_token = data is not None # Return proper error responses\",\n \"headers: dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\"\",\n \"scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None #\",\n \"access tokens. Certain methods MUST be overridden in a subclass, thus this class\",\n \"TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing\",\n \"not in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not\",\n \"oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth\",\n \"# Handle get token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) #\",\n \"Use this to validate your app session user # Return True or False\",\n \"OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught\",\n \"str :param headers: Dict of headers to include in the requests. :type headers:\",\n \"to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method\",\n \"Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\")\",\n \"not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return\",\n \"Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type client_id: str\",\n \"access. Certain methods MUST be overridden in a subclass, thus this class cannot\",\n \"OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err,\",\n \"attributes # on authorization if authorization was successful. # Return value is ignored\",\n \"provider. These are the methods that must be implemented in a subclass: get_authorization_header(self)\",\n \"): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses\",\n \":param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id:\",\n \"_make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given parameters. :param\",\n \"\\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def\",\n \"not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider.\",\n \"\\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions\",\n \"server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\")\",\n \"{0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data)\",\n \"\\\"\\\"\\\" response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\"\",\n \"OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise\",\n \"raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in params: raise\",\n \"must be implemented in a subclass: get_authorization_header(self) # Return header string for key\",\n \"Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return\",\n \"# on authorization if authorization was successful. # Return value is ignored \\\"\\\"\\\"\",\n \"interface to validate an incoming request and authenticate resource access. Certain methods MUST\",\n \"is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\")\",\n \"access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"= StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect\",\n \"body: Buffer/string containing the response body. :type body: str :param headers: Dict of\",\n \"\\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error\",\n \"refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a refresh token. :param grant_type:\",\n \"except StandardError as exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\")\",\n \"validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret) # Return True\",\n \"access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth\",\n \":param body: Buffer/string containing the response body. :type body: str :param headers: Dict\",\n \"self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() # Save information to\",\n \":type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type !=\",\n \"provider. This class manages authorization codes and access tokens. Certain methods MUST be\",\n \"str :param client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect URI.\",\n \"grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a refresh\",\n \"redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP\",\n \"\\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ):\",\n \"Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return\",\n \"must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token,\",\n \"Client redirect URI. :type redirect_uri: str :param err: OAuth error message. :type err:\",\n \"response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code)\",\n \"grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret =\",\n \"the error. :param err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302\",\n \"self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all\",\n \"int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is not None: response_headers.update(headers)\",\n \"None token = None client_id = None expires_in = None error = None\",\n \"= header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def\",\n \"must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"\\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response type. Must be exactly\",\n \"class Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def\",\n \"refresh_token, scope) # Return mixed data or None on invalid persist_authorization_code(self, client_id, code,\",\n \"header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token\",\n \"return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request\",\n \"generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self):\",\n \"str :param client_id: Client ID. :type client_id: str :param client_secret: Client secret. :type\",\n \"exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id):\",\n \"invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or\",\n \"\\\"\\\"\\\"What to return when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return\",\n \"scope) # Return proper error responses on invalid conditions if not is_valid_client_id: err\",\n \"err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id,\",\n \"status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code =\",\n \"Dict of headers to include in the requests. :type headers: dict :param status_code:\",\n \"\\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self,\",\n \"return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time\",\n \"Optionally, the following may be overridden to acheive desired behavior: @property token_length(self) @property\",\n \"is not None # Return proper error responses on invalid conditions if not\",\n \"from requests import Response from io import StringIO try: from werkzeug.exceptions import Unauthorized\",\n \"__init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A\",\n \"is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\"\",\n \"code code = self.generate_authorization_code() # Save information to be used to validate later\",\n \"Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) #\",\n \"self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error\",\n \"params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as\",\n \"str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return\",\n \"None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None\",\n \"\\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header()\",\n \"redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth error message. :type\",\n \"redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if\",\n \"self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id,\",\n \"if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"]\",\n \"is not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err):\",\n \":rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise\",\n \"self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions if not is_valid_client_id:\",\n \"# Return proper error responses on invalid conditions if not is_valid_client_id: err =\",\n \"method to get the length used to generate tokens. :rtype: int \\\"\\\"\\\" return\",\n \"self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once\",\n \"return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object\",\n \"\\\"\\\"\\\"Generate access token HTTP response from a refresh token. :param grant_type: Desired grant\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must\",\n \"> 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token,\",\n \"implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\")\",\n \"from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None on invalid persist_authorization_code(self,\",\n \"type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type client_id:\",\n \"self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token\",\n \"not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement\",\n \"self.generate_refresh_token() # Save information to be used to validate later requests self.persist_token_information( client_id=client_id,\",\n \"the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError,\",\n \"expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id,\",\n \"Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} )\",\n \":type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What\",\n \"token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( { \\\"access_token\\\":\",\n \"that was caught and suppressed. :param exc: Exception to process. :type exc: Exception\",\n \"URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions\",\n \"not in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not\",\n \"reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class\",\n \"uri: URI to parse for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not\",\n \"code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope):\",\n \"self._handle_exception(exc) # Catch all other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"]\",\n \"authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0\",\n \"not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except\",\n \"POST data containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: #\",\n \"a subclass, thus this class cannot be directly used as a resource provider.\",\n \"str :param err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params\",\n \"40 @property def token_type(self): \\\"\\\"\\\"Property method to get the access token type. :rtype:\",\n \"data) # Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self,\",\n \"if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle\",\n \"\\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate\",\n \"get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization)\",\n \"client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses\",\n \"https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from io import StringIO\",\n \"code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\":\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement\",\n \"token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have been met\",\n \"implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\")\",\n \"= self.generate_authorization_code() # Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id,\",\n \"self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc:\",\n \"refresh token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str\",\n \"def token_type(self): \\\"\\\"\\\"Property method to get the access token type. :rtype: str \\\"\\\"\\\"\",\n \"return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object\",\n \"to JSON-encode. :type data: mixed :param headers: Dict of headers to include in\",\n \"return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } )\",\n \"utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in URL\",\n \"ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing\",\n \"err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None,\",\n \"\\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status\",\n \"authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required\",\n \"be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response\",\n \":type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not\",\n \"token expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate\",\n \"later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\":\",\n \"# Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id,\",\n \":param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token:\",\n \"# Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions\",\n \"Catch missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u\",\n \"return self.refresh_token(**data) # Handle get token from authorization code for x in [\\\"redirect_uri\\\",\",\n \"persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self,\",\n \"the given JSON data. :param data: Data to JSON-encode. :type data: mixed :param\",\n \"str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return\",\n \"client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including\",\n \"body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given parameters. :param body:\",\n \"\\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if\",\n \"refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params):\",\n \"grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client\",\n \"self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request return\",\n \"must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri,\",\n \"generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the length used\",\n \"value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value\",\n \"requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages\",\n \"response_type: Desired response type. Must be exactly \\\"code\\\". :type response_type: str :param client_id:\",\n \"object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not\",\n \"utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param\",\n \"HTTP response from a refresh token. :param grant_type: Desired grant type. Must be\",\n \"the requests. :type headers: dict :param status_code: HTTP status code. :type status_code: int\",\n \"in a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret)\",\n \"the domain and path of the request, instead automatically parsing the query string\",\n \"self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id,\",\n \"self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise\",\n \"Return True or False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self,\",\n \"token HTTP response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type:\",\n \"original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions have\",\n \"manages authorization codes and access tokens. Certain methods MUST be overridden in a\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement\",\n \"werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth import utils class\",\n \"auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization):\",\n \"\\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type,\",\n \"errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def\",\n \"Unauthorized = Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for\",\n \"self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is\",\n \"\\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() # Save\",\n \"param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters\",\n \"a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a\",\n \"mixed data or None on invalid persist_authorization_code(self, client_id, code, scope) # Return value\",\n \"are the methods that must be implemented in a subclass: get_authorization_header(self) # Return\",\n \":type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u =\",\n \"This method will ignore the domain and path of the request, instead automatically\",\n \"\\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP\",\n \"all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement\",\n \"value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) #\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\")\",\n \"code HTTP response. :param response_type: Desired response type. Must be exactly \\\"code\\\". :type\",\n \":param uri: URI to parse for authorization information. :type uri: str :rtype: requests.Response\",\n \"None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes # on\",\n \"was caught and suppressed. :param exc: Exception to process. :type exc: Exception \\\"\\\"\\\"\",\n \"used as a resource provider. These are the methods that must be implemented\",\n \"= self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be\",\n \"containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param err:\",\n \"err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return\",\n \"message. :type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None,\",\n \"code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token.\",\n \"= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id,\",\n \"= \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response\",\n \"error responses on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all other\",\n \"client_id = None expires_in = None error = None def raise_error_if_invalid(self): if not\",\n \"given parameters. :param body: Buffer/string containing the response body. :type body: str :param\",\n \"import utils class Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth 2.0\",\n \":param redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization code. :type\",\n \"error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if\",\n \"\\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param err: OAuth error message.\",\n \"self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token)\",\n \"client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise\",\n \"object from the given parameters. :param body: Buffer/string containing the response body. :type\",\n \":type response_type: str :param client_id: Client ID. :type client_id: str :param redirect_uri: Client\",\n \"data=data, ) # Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type,\",\n \"# Discard original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all\",\n \"raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class\",\n \"requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json\",\n \"class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes and access\",\n \"def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope):\",\n \"class cannot be directly used as a provider. These are the methods that\",\n \"= params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on\",\n \"requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect\",\n \"\\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self,\",\n \"Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from io\",\n \"@property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method\",\n \"token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param\",\n \"requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") #\",\n \"client_id: str :param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token.\",\n \"for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal\",\n \"self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope)\",\n \"to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in,\",\n \"token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) # Return\",\n \"Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for different types\",\n \"is_valid_refresh_token = data is not None # Return proper error responses on invalid\",\n \":param err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\":\",\n \"= self.from_authorization_code(client_id, code, scope) is_valid_grant = data is not None # Return proper\",\n \"if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) #\",\n \"for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth\",\n \"refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope):\",\n \"# Save information to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope,\",\n \"} ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI. This\",\n \"invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token,\",\n \"app session user # Return True or False from_authorization_code(self, client_id, code, scope) #\",\n \"an interface to validate an incoming request and authenticate resource access. Certain methods\",\n \"Client ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str :param\",\n \"parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) #\",\n \"redirect_uri: str :param err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"responses on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"# Catch all other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return\",\n \"<filename>oauth/provider.py<gh_stars>1000+ # Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import\",\n \"body. :type body: str :param headers: Dict of headers to include in the\",\n \"None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self,\",\n \"# Handle get token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if\",\n \"True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return\",\n \"return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() # Save information\",\n \"raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not in params: raise\",\n \"\\\"\\\"\\\"Get authorization code response from a URI. This method will ignore the domain\",\n \"token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token.\",\n \"== \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid:\",\n \"def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self,\",\n \"required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc)\",\n \"auth = self.authorization_class() header = self.get_authorization_header() if not header or not header.split: return\",\n \"\\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id,\",\n \"in data: return self.refresh_token(**data) # Handle get token from authorization code for x\",\n \"providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught and suppressed.\",\n \"def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise\",\n \"headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given parameters. :param body: Buffer/string\",\n \"expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from\",\n \"exactly \\\"code\\\". :type response_type: str :param client_id: Client ID. :type client_id: str :param\",\n \"class cannot be directly used as a resource provider. These are the methods\",\n \"int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str\",\n \"self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement\",\n \"\\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\"\",\n \"err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is missing.\",\n \"str :param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token. :type\",\n \"token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type\",\n \"proper error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\")\",\n \"\\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes and access tokens. Certain\",\n \"grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)\",\n \"2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was caught and\",\n \"err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must\",\n \"Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id\",\n \"None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a\",\n \"headers to include in the requests. :type headers: dict :param status_code: HTTP status\",\n \"client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token from refresh_token if\",\n \"headers: Dict of headers to include in the requests. :type headers: dict :param\",\n \"\\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self,\",\n \"exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def\",\n \"status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri parameter is missing. :rtype:\",\n \"all conditions have been met access_token = self.generate_access_token() token_type = self.token_type expires_in =\",\n \"a token response from POST data. :param data: POST data containing authorization information.\",\n \"str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token\",\n \"exc): \\\"\\\"\\\"Handle an internal exception that was caught and suppressed. :param exc: Exception\",\n \"params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate\",\n \"params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type\",\n \"on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None on\",\n \"# Catch missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params:\",\n \"client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise\",\n \":rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\")\",\n \"later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return\",\n \"str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization code.\",\n \"None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data),\",\n \"params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token =\",\n \"response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect =\",\n \"These are the methods that must be implemented in a subclass: validate_client_id(self, client_id)\",\n \"2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token = None client_id =\",\n \"secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param\",\n \"self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\")\",\n \"This class provides an interface to validate an incoming request and authenticate resource\",\n \"err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param err: OAuth error\",\n \"parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"]\",\n \"the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property\",\n \"exc: self._handle_exception(exc) # Catch missing parameters in request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\"\",\n \"Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type\",\n \"requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\"\",\n \"exc: self._handle_exception(exc) # Catch all other server errors err = \\\"server_error\\\" u =\",\n \"user # Return True or False from_authorization_code(self, client_id, code, scope) # Return mixed\",\n \"containing the response body. :type body: str :param headers: Dict of headers to\",\n \"not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code\",\n \"refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\":\",\n \"\\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def\",\n \"self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id,\",\n \"get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses\",\n \"auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"get_authorization_header.\\\")\",\n \"expiration time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a\",\n \"data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x\",\n \"\\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None\",\n \"\\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface to validate an incoming\",\n \"representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not header\",\n \"the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth\",\n \"{} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\"\",\n \"# Return True or False validate_access(self) # Use this to validate your app\",\n \"class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface to validate\",\n \"\\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri =\",\n \"= status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res\",\n \"= self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\",\",\n \"query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\")\",\n \"including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason\",\n \"2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing\",\n \"Set is_valid=True, client_id, and expires_in attributes # on authorization if authorization was successful.\",\n \"Generate access tokens once all conditions have been met access_token = self.generate_access_token() token_type\",\n \"from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id,\",\n \"is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope =\",\n \"implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to\",\n \"not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise\",\n \"client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code,\",\n \"value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following may\",\n \"type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get\",\n \"\\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self):\",\n \"used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data,\",\n \"mixed :param headers: Dict of headers to include in the requests. :type headers:\",\n \"redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant type.\",\n \"validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return\",\n \"secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response\",\n \"data: mixed :param headers: Dict of headers to include in the requests. :type\",\n \"refresh_token) # Generate access tokens once all conditions have been met access_token =\",\n \"Return proper error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return\",\n \"get the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self):\",\n \"logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the\",\n \"None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None,\",\n \"return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return\",\n \"err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\":\",\n \"} ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token,\",\n \"was successful. # Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization\",\n \"original authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have\",\n \"query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\")\",\n \"self.generate_authorization_code() # Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code,\",\n \"if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self,\",\n \"if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code\",\n \"params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as\",\n \"scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code)\",\n \"must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement\",\n \"a JSON-encoded response object representing the error. :param err: OAuth error message. :type\",\n \"client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must\",\n \"if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri:\",\n \"OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides\",\n \":rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when\",\n \"# Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging\",\n \"in URL query\\\") if \\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in\",\n \":type redirect_uri: str :param code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\"\",\n \"the query string parameters. :param uri: URI to parse for authorization information. :type\",\n \"\\\"\\\"\\\"Get a token response from POST data. :param data: POST data containing authorization\",\n \"as a provider. These are the methods that must be implemented in a\",\n \"None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302)\",\n \"to include in the requests. :type headers: dict :param status_code: HTTP status code.\",\n \"\\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate\",\n \"headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] =\",\n \"client_secret) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token,\",\n \"Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a\",\n \"validate_access(self) # Use this to validate your app session user # Return True\",\n \"dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res\",\n \"ImportError: Unauthorized = Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class\",\n \"return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id,\",\n \"\\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized):\",\n \"\\\"\\\"\\\"Base provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc):\",\n \"= self.authorization_class() header = self.get_authorization_header() if not header or not header.split: return auth\",\n \"err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization\",\n \"self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\",\",\n \"Return proper error responses on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\"\",\n \"\\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check\",\n \"client_id, client_secret) # Return True or False validate_scope(self, client_id, scope) # Return True\",\n \") def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP\",\n \"data. :param data: POST data containing authorization information. :type data: dict :rtype: requests.Response\",\n \"from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for different types of\",\n \"proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) #\",\n \"request and authenticate resource access. Certain methods MUST be overridden in a subclass,\",\n \"is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code\",\n \"= Response() res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw =\",\n \"code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses\",\n \"= self.validate_scope(client_id, scope) # Return proper error responses on invalid conditions if not\",\n \"redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch\",\n \"Unauthorized except ImportError: Unauthorized = Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base\",\n \"self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response\",\n \"validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) #\",\n \"response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error.\",\n \"return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes\",\n \"302 redirect response object containing the error. :param redirect_uri: Client redirect URI. :type\",\n \"res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing\",\n \":rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype:\",\n \"URI to parse for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params\",\n \"not header.split: return auth header = header.split() if len(header) > 1 and header[0]\",\n \"given JSON data. :param data: Data to JSON-encode. :type data: mixed :param headers:\",\n \"response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err):\",\n \":type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is not\",\n \"return when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class\",\n \"if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses must\",\n \"HTTP response. :param response_type: Desired response type. Must be exactly \\\"code\\\". :type response_type:\",\n \"get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired\",\n \"Return value ignored Optionally, the following may be overridden to acheive desired behavior:\",\n \"TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request err = \\\"invalid_request\\\"\",\n \":param client_id: Client ID. :type client_id: str :param client_secret: Client secret. :type client_secret:\",\n \"client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response type.\",\n \"code) # Generate access tokens once all conditions have been met access_token =\",\n \"True or False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id,\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses\",\n \"# Return True or False validate_client_secret(self, client_id, client_secret) # Return True or False\",\n \"is_valid=True, client_id, and expires_in attributes # on authorization if authorization was successful. #\",\n \"OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) #\",\n \":param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers =\",\n \"requests import Response from io import StringIO try: from werkzeug.exceptions import Unauthorized except\",\n \"@property def token_length(self): \\\"\\\"\\\"Property method to get the length used to generate tokens.\",\n \"# Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None}\",\n \"Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\":\",\n \"or False validate_access(self) # Use this to validate your app session user #\",\n \"if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect\",\n \"discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error,\",\n \"= self.generate_refresh_token() # Save information to be used to validate later requests self.persist_token_information(\",\n \"HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code\",\n \"raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0\",\n \"grant type. Must be \\\"refresh_token\\\". :type grant_type: str :param client_id: Client ID. :type\",\n \"def token_length(self): \\\"\\\"\\\"Property method to get the length used to generate tokens. :rtype:\",\n \"client_id, refresh_token) # Return value ignored Optionally, the following may be overridden to\",\n \"response object containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str\",\n \"refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a\",\n \"client_secret: str :param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" #\",\n \"= self.get_authorization_header() if not header or not header.split: return auth header = header.split()\",\n \"# Return header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) #\",\n \"from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id,\",\n \"Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if\",\n \"if authorization was successful. # Return value is ignored \\\"\\\"\\\" @property def authorization_class(self):\",\n \"or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes #\",\n \"Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope\",\n \"\\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response\",\n \"access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() #\",\n \"redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret,\",\n \"= None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class\",\n \"OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400)\",\n \"def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def\",\n \"from a refresh token. :param grant_type: Desired grant type. Must be \\\"refresh_token\\\". :type\",\n \"response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers,\",\n \"self.authorization_class() header = self.get_authorization_header() if not header or not header.split: return auth header\",\n \"Ported to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from\",\n \"scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope)\",\n \"# Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope)\",\n \"invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not\",\n \"# Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id,\",\n \"utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a\",\n \"\\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def\",\n \"\\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes\",\n \"self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth =\",\n \":param refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper\",\n \"missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch\",\n \"not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except\",\n \"expires_in = None error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error,\",\n \"token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to\",\n \":type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response\",\n \"validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri):\",\n \"refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access\",\n \"implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\")\",\n \"= \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate authorization code code = self.generate_authorization_code() #\",\n \"StandardError as exc: self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def\",\n \"if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) #\",\n \"return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not\",\n \"ID. :type client_id: str :param client_secret: Client secret. :type client_secret: str :param refresh_token:\",\n \"body: str :param headers: Dict of headers to include in the requests. :type\",\n \"\\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\":\",\n \"time in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random\",\n \"if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource\",\n \"in a subclass, thus this class cannot be directly used as a provider.\",\n \"an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token = None\",\n \"redirect response object containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri:\",\n \":type client_id: str :param client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh\",\n \"Save information to be used to validate later requests self.persist_token_information( client_id=client_id, scope=scope, access_token=access_token,\",\n \"[\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x))\",\n \"must implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\"\",\n \"and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return\",\n \"json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token,\",\n \"str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str\",\n \"data ): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise\",\n \"header = header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth =\",\n \"MUST be overridden in a subclass, thus this class cannot be directly used\",\n \"Client secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str\",\n \"= \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def\",\n \"def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def\",\n \"return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri\",\n \"AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization codes and access tokens.\",\n \"validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes # on authorization\",\n \"= None token = None client_id = None expires_in = None error =\",\n \"\\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\".\",\n \"token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri,\",\n \"else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other server\",\n \"client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id,\",\n \"persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type,\",\n \"\\\"\\\"\\\"Property method to get the length used to generate tokens. :rtype: int \\\"\\\"\\\"\",\n \"Data to JSON-encode. :type data: mixed :param headers: Dict of headers to include\",\n \"3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length)\",\n \"\\\"persist_token_information.\\\") def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self,\",\n \"# Return proper error responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret):\",\n \"tokens. Certain methods MUST be overridden in a subclass, thus this class cannot\",\n \"authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if\",\n \"code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope,\",\n \"None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def\",\n \"code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is\",\n \"requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") #\",\n \"requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the\",\n \"\\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code,\",\n \"to get the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property def\",\n \"Response from io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized\",\n \"is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope =\",\n \"status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given\",\n \"from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token from\",\n \"\\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate\",\n \"HTTP 302 redirect response object containing the error. :param redirect_uri: Client redirect URI.\",\n \"self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all other server errors return\",\n \"a resource provider. These are the methods that must be implemented in a\",\n \"\\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect =\",\n \"str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str\",\n \"as a resource provider. These are the methods that must be implemented in\",\n \"HTTP response. :param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str\",\n \"scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise\",\n \"that must be implemented in a subclass: validate_client_id(self, client_id) # Return True or\",\n \"def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type:\",\n \"params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in params:\",\n \"= data is not None # Return proper error responses on invalid conditions\",\n \"access token HTTP response from a refresh token. :param grant_type: Desired grant type.\",\n \"an internal exception that was caught and suppressed. :param exc: Exception to process.\",\n \"persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses must\",\n \"import Response from io import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError:\",\n \"\\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an\",\n \"domain and path of the request, instead automatically parsing the query string parameters.\",\n \"\\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def\",\n \"in a subclass, thus this class cannot be directly used as a resource\",\n \"get token from authorization code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x):\",\n \"\\\" \\\"validate_access.\\\") def from_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\")\",\n \"str :param code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure\",\n \":param redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure\",\n \"client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses\",\n \"client_id, and expires_in attributes # on authorization if authorization was successful. # Return\",\n \"= {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params)\",\n \"def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth\",\n \"exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as\",\n \"request err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u,\",\n \"Buffer/string containing the response body. :type body: str :param headers: Dict of headers\",\n \"\\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except\",\n \"!= \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id,\",\n \"ignored Optionally, the following may be overridden to acheive desired behavior: @property token_length(self)\",\n \"key \\\"Authorization\\\" or None validate_access_token(self, access_token, authorization) # Set is_valid=True, client_id, and expires_in\",\n \"tokens once all conditions have been met access_token = self.generate_access_token() token_type = self.token_type\",\n \"except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\")\",\n \"this to validate your app session user # Return True or False from_authorization_code(self,\",\n \"tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get\",\n \"status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res = Response()\",\n \"# Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response()\",\n \"authorization if authorization was successful. # Return value is ignored \\\"\\\"\\\" @property def\",\n \"int :rtype: requests.Response \\\"\\\"\\\" res = Response() res.status_code = status_code if headers is\",\n \"\\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code, scope) is_valid_grant = data\",\n \"if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original\",\n \"client_id in URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri\",\n \"\\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization\",\n \"self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None # Return proper error\",\n \"provider. These are the methods that must be implemented in a subclass: validate_client_id(self,\",\n \"method to get the access token type. :rtype: str \\\"\\\"\\\" return \\\"Bearer\\\" @property\",\n \"grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret =\",\n \"\\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\"\",\n \"**kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an\",\n \"redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access\",\n \"if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err\",\n \"invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return\",\n \"self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri =\",\n \"\\\"code\\\". :type response_type: str :param client_id: Client ID. :type client_id: str :param redirect_uri:\",\n \"parse for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri)\",\n \"is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token\",\n \":rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype:\",\n \"of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an internal exception that was\",\n \"self._handle_exception(exc) # Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise\",\n \"= self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper\",\n \"error = None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\")\",\n \"status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is not None:\",\n \"self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other server errors err\",\n \"status_code=200): \\\"\\\"\\\"Return a response object from the given JSON data. :param data: Data\",\n \"Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get\",\n \"get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data. :param data: POST data\",\n \"self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth\",\n \"JSON-encoded response object representing the error. :param err: OAuth error message. :type err:\",\n \"if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret\",\n \"code=code, scope=scope) # Return redirection response params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None,\",\n \"if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return\",\n \"= reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0\",\n \"code = self.generate_authorization_code() # Save information to be used to validate later requests\",\n \"redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0\",\n \"in params: raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError\",\n \"as exc: self._handle_exception(exc) # Catch all other server errors err = \\\"server_error\\\" u\",\n \"scope=scope, access_token=access_token, token_type=token_type, expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response(\",\n \"the methods that must be implemented in a subclass: validate_client_id(self, client_id) # Return\",\n \"err = \\\"invalid_request\\\" if \\\"redirect_uri\\\" in params: u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err)\",\n \":param data: POST data containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\"\",\n \"resource provider. These are the methods that must be implemented in a subclass:\",\n \"authorization_class(self): return ResourceAuthorization def get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth\",\n \"code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally,\",\n \"err: OAuth error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err},\",\n \"class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args,\",\n \"\\\"authorization_code\\\". :type grant_type: str :param client_id: Client ID. :type client_id: str :param client_secret:\",\n \"*args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing\",\n \"used to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property\",\n \"# Set is_valid=True, client_id, and expires_in attributes # on authorization if authorization was\",\n \"seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code.\",\n \"get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a URI. This method will ignore\",\n \"raise TypeError(\\\"Missing parameter redirect_uri in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc:\",\n \"code: Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type\",\n \"if not header or not header.split: return auth header = header.split() if len(header)\",\n \"if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access =\",\n \"for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0\",\n \"auth) if not auth.is_valid: auth.error = \\\"access_denied\\\" return auth def get_authorization_header(self): raise NotImplementedError(\\\"Subclasses\",\n \"implemented in a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id,\",\n \"auth header = header.split() if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth\",\n \"URI. :type redirect_uri: str :param err: OAuth error message. :type err: str :rtype:\",\n \"\\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data\",\n \"= logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from\",\n \"# Return json response return self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in,\",\n \"be overridden in a subclass, thus this class cannot be directly used as\",\n \":param grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id:\",\n \"= self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None # Return proper\",\n \"Client redirect URI. :type redirect_uri: str :param code: Authorization code. :type code: str\",\n \"True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) #\",\n \"scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data)\",\n \"once all conditions have been met access_token = self.generate_access_token() token_type = self.token_type expires_in\",\n \"from the given JSON data. :param data: Data to JSON-encode. :type data: mixed\",\n \"self._make_json_response( { \\\"access_token\\\": access_token, \\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def\",\n \"as exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError\",\n \"token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to\",\n \"[\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param:\",\n \"code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant type. Must\",\n \"None def raise_error_if_invalid(self): if not self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider):\",\n \"query string parameters. :param uri: URI to parse for authorization information. :type uri:\",\n \"Desired response type. Must be exactly \\\"code\\\". :type response_type: str :param client_id: Client\",\n \"def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information(\",\n \"status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param\",\n \"self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to be used\",\n \"self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code)\",\n \"client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token,\",\n \"POST data. :param data: POST data containing authorization information. :type data: dict :rtype:\",\n \"on authorization if authorization was successful. # Return value is ignored \\\"\\\"\\\" @property\",\n \"implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\")\",\n \"and suppressed. :param exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger =\",\n \"True or False from_authorization_code(self, client_id, code, scope) # Return mixed data or None\",\n \"if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err\",\n \"containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token =\",\n \"token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property\",\n \"None expires_in = None error = None def raise_error_if_invalid(self): if not self.is_valid: raise\",\n \"def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data ): raise NotImplementedError(\\\"Subclasses\",\n \"from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from io import\",\n \"OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid = None token = None client_id\",\n \"expires_in, refresh_token, data) # Return value ignored discard_authorization_code(self, client_id, code) # Return value\",\n \"int \\\"\\\"\\\" return 40 @property def token_type(self): \\\"\\\"\\\"Property method to get the access\",\n \"**params): \\\"\\\"\\\"Generate access token HTTP response from a refresh token. :param grant_type: Desired\",\n \"\\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get the length used to generate\",\n \"= params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token\",\n \"Certain methods MUST be overridden in a subclass, thus this class cannot be\",\n \"import Unauthorized except ImportError: Unauthorized = Exception from oauth import utils class Provider(object):\",\n \"grant_type: Desired grant type. Must be \\\"authorization_code\\\". :type grant_type: str :param client_id: Client\",\n \"authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if\",\n \"\\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason,\",\n \"in URL query\\\") if \\\"redirect_uri\\\" not in params: raise TypeError(\\\"Missing parameter redirect_uri in\",\n \"def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret):\",\n \"in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\" not in\",\n \"is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope\",\n \":rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\",\",\n \"res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP\",\n \"must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"authorization) # Set is_valid=True, client_id, and expires_in attributes # on authorization if authorization\",\n \"representing the error. :param err: OAuth error message. :type err: str :rtype: requests.Response\",\n \"= Exception from oauth import utils class Provider(object): \\\"\\\"\\\"Base provider class for different\",\n \"is_oauth = False is_valid = None token = None client_id = None expires_in\",\n \"grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type:\",\n \"code for x in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth\",\n \"return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request\",\n \"\\\"Bearer\\\" @property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time in\",\n \"str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if grant_type != \\\"authorization_code\\\": return\",\n \"authorization code response from a URI. This method will ignore the domain and\",\n \"True or False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id,\",\n \"self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err) # Generate\",\n \"self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return\",\n \"discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the following may be overridden\",\n \"\\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope: err = \\\"invalid_scope\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"uri): \\\"\\\"\\\"Get authorization code response from a URI. This method will ignore the\",\n \"TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc:\",\n \"\\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\"\",\n \"ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return\",\n \"\\\"\\\"\\\"Return a response object from the given JSON data. :param data: Data to\",\n \"except StandardError as exc: self._handle_exception(exc) # Catch all other server errors err =\",\n \"reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs): self.reason = reason super(OAuthError, self).__init__(*args, **kwargs) class\",\n \"of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not header or not\",\n \"Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self)\",\n \"or not header.split: return auth header = header.split() if len(header) > 1 and\",\n \"and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if\",\n \"\\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret)\",\n \"= utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return\",\n \"\\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token from authorization code for\",\n \"URI. :type redirect_uri: str :param code: Authorization code. :type code: str :rtype: requests.Response\",\n \"methods that must be implemented in a subclass: get_authorization_header(self) # Return header string\",\n \"the given parameters. :param body: Buffer/string containing the response body. :type body: str\",\n \":param response_type: Desired response type. Must be exactly \\\"code\\\". :type response_type: str :param\",\n \"header = self.get_authorization_header() if not header or not header.split: return auth header =\",\n \"self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information\",\n \"implement \\\" \\\"discard_refresh_token.\\\") class OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def\",\n \"err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc) # Catch all other\",\n \"\\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response from a\",\n \"requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\" not in params: raise TypeError(\\\"Missing\",\n \"get_token(self, grant_type, client_id, client_secret, redirect_uri, code, **params): \\\"\\\"\\\"Generate access token HTTP response. :param\",\n \"used as a provider. These are the methods that must be implemented in\",\n \"codes and access tokens. Certain methods MUST be overridden in a subclass, thus\",\n \"automatically parsing the query string parameters. :param uri: URI to parse for authorization\",\n \"in seconds. :rtype: int \\\"\\\"\\\" return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization\",\n \"# Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must\",\n \"redirect}, status_code=302) def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the\",\n \"access_token, authorization) # Set is_valid=True, client_id, and expires_in attributes # on authorization if\",\n \"overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self)\",\n \"TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token from refresh_token\",\n \":param headers: Dict of headers to include in the requests. :type headers: dict\",\n \"Client ID. :type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri: str\",\n \"if len(header) > 1 and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token =\",\n \"be overridden to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self)\",\n \"# Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored Optionally, the\",\n \"redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing the error. :param\",\n \"token = None client_id = None expires_in = None error = None def\",\n \"containing authorization information. :type data: dict :rtype: requests.Response \\\"\\\"\\\" try: # Verify OAuth\",\n \"\\\"token_type\\\": token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret,\",\n \"is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] = \\\"application/json;charset=UTF-8\\\" response_headers[\\\"Cache-Control\\\"] = \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\"\",\n \"authorization was successful. # Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return\",\n \":type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper response_type if response_type !=\",\n \"return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self,\",\n \"this class cannot be directly used as a resource provider. These are the\",\n \"status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response\",\n \"incoming request and authenticate resource access. Certain methods MUST be overridden in a\",\n \"have been met access_token = self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token\",\n \"\\\"\\\"\\\"Return a HTTP 302 redirect response object containing the error. :param redirect_uri: Client\",\n \"def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id,\",\n \"StandardError as exc: self._handle_exception(exc) # Catch all other server errors err = \\\"server_error\\\"\",\n \"err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_scope:\",\n \":rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization\",\n \"validate your app session user # Return True or False from_authorization_code(self, client_id, code,\",\n \"conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\")\",\n \"Return True or False from_authorization_code(self, client_id, code, scope) # Return mixed data or\",\n \"\\\"\\\"\\\"Return a response object from the given parameters. :param body: Buffer/string containing the\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"\\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to return when the redirect_uri\",\n \"client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token) # Return value ignored\",\n \"token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save information to\",\n \"None # Return proper error responses on invalid conditions if not (is_valid_client_id and\",\n \"expires_in=expires_in, refresh_token=refresh_token, data=data, ) # Return json response return self._make_json_response( { \\\"access_token\\\": access_token,\",\n \"Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri: return self._invalid_redirect_uri_response() #\",\n \"\\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider): \\\"\\\"\\\"OAuth 2.0 authorization provider. This class manages authorization\",\n \"authorization code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have been\",\n \"2.0 resource provider. This class provides an interface to validate an incoming request\",\n \"Return True or False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self,\",\n \"res = Response() res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw\",\n \"error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This class provides an interface to\",\n \"code self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have been met\",\n \"for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try:\",\n \"generate_access_token(self): \\\"\\\"\\\"Generate a random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self):\",\n \"False is_valid = None token = None client_id = None expires_in = None\",\n \"client_secret: Client secret. :type client_secret: str :param refresh_token: Refresh token. :type refresh_token: str\",\n \"\\\"validate_client_secret.\\\") def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self,\",\n \"res.status_code = status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return\",\n \"utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length)\",\n \"(is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token:\",\n \"@property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property def token_length(self): \\\"\\\"\\\"Property method to get\",\n \"if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret\",\n \"will ignore the domain and path of the request, instead automatically parsing the\",\n \"a subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or None validate_access_token(self,\",\n \"return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if not is_valid_refresh_token: return self._make_json_error_response(\\\"invalid_grant\\\") #\",\n \"requests.Response \\\"\\\"\\\" response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"] =\",\n \"in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\" not in\",\n \"OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\"\",\n \"responses on invalid conditions if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not\",\n \"conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access:\",\n \"all other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err)\",\n \"be exactly \\\"code\\\". :type response_type: str :param client_id: Client ID. :type client_id: str\",\n \"a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_access_token(self): \\\"\\\"\\\"Generate a\",\n \"data = self.from_refresh_token(client_id, refresh_token, scope) is_valid_refresh_token = data is not None # Return\",\n \"Authorization code. :type code: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type if\",\n \"validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise\",\n \"on invalid conditions if not is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if\",\n \"or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or\",\n \"access tokens once all conditions have been met access_token = self.generate_access_token() token_type =\",\n \"scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri) # Return True or\",\n \"OAuthError(Unauthorized): \\\"\\\"\\\"OAuth error, including the OAuth error reason.\\\"\\\"\\\" def __init__(self, reason, *args, **kwargs):\",\n \"client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id, scope): raise\",\n \"ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False is_valid =\",\n \"conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id, client_secret) is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) scope\",\n \"redirect_uri, **params): \\\"\\\"\\\"Generate authorization code HTTP response. :param response_type: Desired response type. Must\",\n \"dict :param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" response_headers\",\n \"implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in, refresh_token, data\",\n \"response type. Must be exactly \\\"code\\\". :type response_type: str :param client_id: Client ID.\",\n \"params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return proper error responses on invalid\",\n \"refresh_token: Refresh token. :type refresh_token: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper grant_type\",\n \"not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return\",\n \"the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth\",\n \"Return value ignored discard_authorization_code(self, client_id, code) # Return value ignored discard_refresh_token(self, client_id, refresh_token)\",\n \"get the length used to generate tokens. :rtype: int \\\"\\\"\\\" return 40 @property\",\n \"random access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random\",\n \"from POST data. :param data: POST data containing authorization information. :type data: dict\",\n \"client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from a refresh token.\",\n \"redirect_uri) scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) data = self.from_authorization_code(client_id, code,\",\n \"\\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x))\",\n \"successful. # Return value is ignored \\\"\\\"\\\" @property def authorization_class(self): return ResourceAuthorization def\",\n \"def _make_redirect_error_response(self, redirect_uri, err): \\\"\\\"\\\"Return a HTTP 302 redirect response object containing the\",\n \"class provides an interface to validate an incoming request and authenticate resource access.\",\n \"be directly used as a resource provider. These are the methods that must\",\n \"!= \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_client_secret = self.validate_client_secret(client_id,\",\n \"def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object representing the error. :param err:\",\n \"\\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect},\",\n \"code response from a URI. This method will ignore the domain and path\",\n \":param client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect URI. :type\",\n \"params.update( {\\\"code\\\": code, \\\"response_type\\\": None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri,\",\n \"object containing the error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param\",\n \"2.0 POST param: {0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch\",\n \"code, scope) # Return value ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token,\",\n \"process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None,\",\n \"raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type,\",\n \"redirect_uri: Client redirect URI. :type redirect_uri: str :rtype: requests.Response \\\"\\\"\\\" # Ensure proper\",\n \"status_code if headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res def\",\n \"@property def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time in seconds.\",\n \"def token_expires_in(self): \\\"\\\"\\\"Property method to get the token expiration time in seconds. :rtype:\",\n \"\\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\" return self._make_redirect_error_response(redirect_uri, err)\",\n \"status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header = self.get_authorization_header() if not header or\",\n \"\\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded response object\",\n \"\\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_token(self, grant_type, client_id, client_secret, redirect_uri, code,\",\n \"status_code=200): \\\"\\\"\\\"Return a response object from the given parameters. :param body: Buffer/string containing\",\n \"value ignored Optionally, the following may be overridden to acheive desired behavior: @property\",\n \"\\\"client_id\\\" not in params: raise TypeError(\\\"Missing parameter client_id in URL query\\\") if \\\"redirect_uri\\\"\",\n \"is_valid_client_id: err = \\\"unauthorized_client\\\" return self._make_redirect_error_response(redirect_uri, err) if not is_valid_access: err = \\\"access_denied\\\"\",\n \"the methods that must be implemented in a subclass: get_authorization_header(self) # Return header\",\n \"utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect}, status_code=302) def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params):\",\n \"path of the request, instead automatically parsing the query string parameters. :param uri:\",\n \"method will ignore the domain and path of the request, instead automatically parsing\",\n \"logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given\",\n \"self.discard_authorization_code(client_id, code) # Generate access tokens once all conditions have been met access_token\",\n \"= \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri)\",\n \"def _make_json_response(self, data, headers=None, status_code=200): \\\"\\\"\\\"Return a response object from the given JSON\",\n \"implement \\\" \\\"get_authorization_header.\\\") def validate_access_token(self, access_token, authorization): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_token.\\\")\",\n \"token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token\",\n \":rtype: requests.Response \\\"\\\"\\\" response_headers = {} if headers is not None: response_headers.update(headers) response_headers[\\\"Content-Type\\\"]\",\n \"request, instead automatically parsing the query string parameters. :param uri: URI to parse\",\n \"or False validate_client_secret(self, client_id, client_secret) # Return True or False validate_scope(self, client_id, scope)\",\n \"err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get\",\n \"client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri: str :param code: Authorization\",\n \"u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response\",\n \"# Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import Response from\",\n \"is_valid_access = self.validate_access() scope = params.get(\\\"scope\\\", \\\"\\\") is_valid_scope = self.validate_scope(client_id, scope) # Return\",\n \"desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self) \\\"\\\"\\\" @property\",\n \"query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in\",\n \"invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed data or None on invalid\",\n \"POST param: {0}\\\".format(x)) # Handle get token from refresh_token if \\\"refresh_token\\\" in data:\",\n \"refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle get token from authorization\",\n \"information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return\",\n \"headers is not None: res.headers.update(headers) res.raw = StringIO(body) return res def _make_redirect_error_response(self, redirect_uri,\",\n \"Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens once all conditions\",\n \"# Ensure proper response_type if response_type != \\\"code\\\": err = \\\"unsupported_response_type\\\" return self._make_redirect_error_response(redirect_uri,\",\n \"response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return a JSON-encoded\",\n \"refresh_token) # Return value ignored Optionally, the following may be overridden to acheive\",\n \"import json import logging from requests import Response from io import StringIO try:\",\n \"None, \\\"client_id\\\": None, \\\"redirect_uri\\\": None} ) redirect = utils.build_url(redirect_uri, params) return self._make_response(headers={\\\"Location\\\": redirect},\",\n \"include in the requests. :type headers: dict :param status_code: HTTP status code. :type\",\n \"in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST\",\n \"data: return self.refresh_token(**data) # Handle get token from authorization code for x in\",\n \"@property def token_type(self): \\\"\\\"\\\"Property method to get the access token type. :rtype: str\",\n \"\\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_refresh_token.\\\") class\",\n \"# Return True or False from_authorization_code(self, client_id, code, scope) # Return mixed data\",\n \"mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope) # Return mixed\",\n \"def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def\",\n \"request return self._make_json_error_response(\\\"invalid_request\\\") except StandardError as exc: self._handle_exception(exc) # Catch all other server\",\n \"Catch all other server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u,\",\n \"in URL query\\\") return self.get_authorization_code(**params) except TypeError as exc: self._handle_exception(exc) # Catch missing\",\n \"exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__) logger.exception(exc) def _make_response(self, body=\\\"\\\", headers=None, status_code=200): \\\"\\\"\\\"Return\",\n \"data: Data to JSON-encode. :type data: mixed :param headers: Dict of headers to\",\n \"Return True or False validate_access(self) # Use this to validate your app session\",\n \"ignored persist_token_information(self, client_id, scope, access_token, token_type, expires_in, refresh_token, data) # Return value ignored\",\n \"authorization code HTTP response. :param response_type: Desired response type. Must be exactly \\\"code\\\".\",\n \"self._make_redirect_error_response(redirect_uri, err) # Check redirect URI is_valid_redirect_uri = self.validate_redirect_uri(client_id, redirect_uri) if not is_valid_redirect_uri:\",\n \"parameters. :param uri: URI to parse for authorization information. :type uri: str :rtype:\",\n \"def discard_authorization_code(self, client_id, code): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id,\",\n \"client_secret: Client secret. :type client_secret: str :param redirect_uri: Client redirect URI. :type redirect_uri:\",\n \"subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\" or None validate_access_token(self, access_token,\",\n \"validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses\",\n \"Handle get token from refresh_token if \\\"refresh_token\\\" in data: return self.refresh_token(**data) # Handle\",\n \"\\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code response\",\n \"return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return\",\n \"error. :param redirect_uri: Client redirect URI. :type redirect_uri: str :param err: OAuth error\",\n \"return self._make_json_error_response(\\\"invalid_grant\\\") # Discard original refresh token self.discard_refresh_token(client_id, refresh_token) # Generate access tokens\",\n \"data or None on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored\",\n \"and path of the request, instead automatically parsing the query string parameters. :param\",\n \"2.0 authorization provider. This class manages authorization codes and access tokens. Certain methods\",\n \"auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if not auth.is_valid: auth.error =\",\n \"Catch all other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must\",\n \"generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self,\",\n \"utils class Provider(object): \\\"\\\"\\\"Base provider class for different types of OAuth 2.0 providers.\\\"\\\"\\\"\",\n \"code, scope) # Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token,\",\n \"grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id = self.validate_client_id(client_id)\",\n \"is_valid_redirect_uri: return self._invalid_redirect_uri_response() # Check conditions is_valid_client_id = self.validate_client_id(client_id) is_valid_access = self.validate_access() scope\",\n \"**kwargs) class ResourceAuthorization(object): \\\"\\\"\\\"A class containing an OAuth 2.0 authorization.\\\"\\\"\\\" is_oauth = False\",\n \"subclass, thus this class cannot be directly used as a provider. These are\",\n \"= \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a\",\n \"Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests import\",\n \"and header[0] == \\\"Bearer\\\": auth.is_oauth = True access_token = header[1] self.validate_access_token(access_token, auth) if\",\n \"header.split: return auth header = header.split() if len(header) > 1 and header[0] ==\",\n \"to parse for authorization information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params =\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def persist_token_information( self, client_id, scope, access_token, token_type, expires_in,\",\n \"= self.generate_access_token() token_type = self.token_type expires_in = self.token_expires_in refresh_token = self.generate_refresh_token() # Save\",\n \"object representing the error. :param err: OAuth error message. :type err: str :rtype:\",\n \"def refresh_token(self, grant_type, client_id, client_secret, refresh_token, **params): \\\"\\\"\\\"Generate access token HTTP response from\",\n \"be implemented in a subclass: get_authorization_header(self) # Return header string for key \\\"Authorization\\\"\",\n \"return self._make_redirect_error_response(u, err) def get_token_from_post_data(self, data): \\\"\\\"\\\"Get a token response from POST data.\",\n \"scope) # Return mixed data or None on invalid persist_authorization_code(self, client_id, code, scope)\",\n \"implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_access.\\\") def from_authorization_code(self,\",\n \"= params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) else: return self._invalid_redirect_uri_response() except StandardError as exc: self._handle_exception(exc)\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"discard_authorization_code.\\\") def discard_refresh_token(self, client_id, refresh_token): raise NotImplementedError(\\\"Subclasses must implement\",\n \"access token. :rtype: str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def generate_refresh_token(self): \\\"\\\"\\\"Generate a random refresh\",\n \"def validate_redirect_uri(self, client_id, redirect_uri): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_redirect_uri.\\\") def validate_scope(self, client_id,\",\n \"that must be implemented in a subclass: get_authorization_header(self) # Return header string for\",\n \"a HTTP 302 redirect response object containing the error. :param redirect_uri: Client redirect\",\n \"scope) # Return mixed data or None on invalid from_refresh_token(self, client_id, refresh_token, scope)\",\n \"caught and suppressed. :param exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger\",\n \"\\\"from_refresh_token.\\\") def persist_authorization_code(self, client_id, code, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"persist_authorization_code.\\\") def\",\n \"proper grant_type if grant_type != \\\"refresh_token\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id =\",\n \"get_authorization(self): \\\"\\\"\\\"Get authorization object representing status of authentication.\\\"\\\"\\\" auth = self.authorization_class() header =\",\n \"internal exception that was caught and suppressed. :param exc: Exception to process. :type\",\n \"= None expires_in = None error = None def raise_error_if_invalid(self): if not self.is_valid:\",\n \"when the redirect_uri parameter is missing. :rtype: requests.Response \\\"\\\"\\\" return self._make_json_error_response(\\\"invalid_request\\\") class AuthorizationProvider(Provider):\",\n \"self.is_valid: raise OAuthError(self.error, \\\"OAuth authorization error\\\") class ResourceProvider(Provider): \\\"\\\"\\\"OAuth 2.0 resource provider. This\",\n \":param status_code: HTTP status code. :type status_code: int :rtype: requests.Response \\\"\\\"\\\" res =\",\n \"TypeError as exc: self._handle_exception(exc) # Catch missing parameters in request return self._make_json_error_response(\\\"invalid_request\\\") except\",\n \"return 3600 def generate_authorization_code(self): \\\"\\\"\\\"Generate a random authorization code. :rtype: str \\\"\\\"\\\" return\",\n \"json import logging from requests import Response from io import StringIO try: from\",\n \"information. :type uri: str :rtype: requests.Response \\\"\\\"\\\" params = utils.url_query_params(uri) try: if \\\"response_type\\\"\",\n \"class for different types of OAuth 2.0 providers.\\\"\\\"\\\" def _handle_exception(self, exc): \\\"\\\"\\\"Handle an\",\n \"suppressed. :param exc: Exception to process. :type exc: Exception \\\"\\\"\\\" logger = logging.getLogger(__name__)\",\n \"error message. :type err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def\",\n \"if not is_valid_grant or not is_valid_redirect_uri: return self._make_json_error_response(\\\"invalid_grant\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\")\",\n \"code, scope) is_valid_grant = data is not None # Return proper error responses\",\n \"proper grant_type if grant_type != \\\"authorization_code\\\": return self._make_json_error_response(\\\"unsupported_grant_type\\\") # Check conditions is_valid_client_id =\",\n \"not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) # Handle get\",\n \"directly used as a resource provider. These are the methods that must be\",\n \"or False validate_scope(self, client_id, scope) # Return True or False validate_redirect_uri(self, client_id, redirect_uri)\",\n \"Save information to be used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) #\",\n \"\\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_secret.\\\") def validate_redirect_uri(self,\",\n \"\\\"from_authorization_code.\\\") def from_refresh_token(self, client_id, refresh_token, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"from_refresh_token.\\\") def\",\n \"used to validate later requests self.persist_authorization_code(client_id=client_id, code=code, scope=scope) # Return redirection response params.update(\",\n \"**params): \\\"\\\"\\\"Generate access token HTTP response. :param grant_type: Desired grant type. Must be\",\n \"def validate_scope(self, client_id, scope): raise NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_scope.\\\") def validate_access(self): raise\",\n \"be implemented in a subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self,\",\n \"server errors err = \\\"server_error\\\" u = params[\\\"redirect_uri\\\"] return self._make_redirect_error_response(u, err) def get_token_from_post_data(self,\",\n \"= \\\"no-store\\\" response_headers[\\\"Pragma\\\"] = \\\"no-cache\\\" return self._make_response(json.dumps(data), response_headers, status_code) def _make_json_error_response(self, err): \\\"\\\"\\\"Return\",\n \"import StringIO try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from\",\n \"authenticate resource access. Certain methods MUST be overridden in a subclass, thus this\",\n \"{0}\\\".format(x)) return self.get_token(**data) except TypeError as exc: self._handle_exception(exc) # Catch missing parameters in\",\n \"to validate an incoming request and authenticate resource access. Certain methods MUST be\",\n \"try: from werkzeug.exceptions import Unauthorized except ImportError: Unauthorized = Exception from oauth import\",\n \"Generate authorization code code = self.generate_authorization_code() # Save information to be used to\",\n \"from the given parameters. :param body: Buffer/string containing the response body. :type body:\",\n \"as exc: self._handle_exception(exc) # Catch missing parameters in request err = \\\"invalid_request\\\" if\",\n \":type client_id: str :param client_secret: Client secret. :type client_secret: str :param redirect_uri: Client\",\n \"to validate your app session user # Return True or False from_authorization_code(self, client_id,\",\n \":type data: mixed :param headers: Dict of headers to include in the requests.\",\n \"in [\\\"redirect_uri\\\", \\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param:\",\n \"None on invalid persist_authorization_code(self, client_id, code, scope) # Return value ignored persist_token_information(self, client_id,\",\n \"subclass: validate_client_id(self, client_id) # Return True or False validate_client_secret(self, client_id, client_secret) # Return\",\n \"client_secret) # Return True or False validate_scope(self, client_id, scope) # Return True or\",\n \"to Python 3 # Originally from https://github.com/DeprecatedCode/oauth2lib/blob/d161b010f8a596826050a09e5e94d59443cc12d9/oauth2lib/provider.py import json import logging from requests\",\n \"token_type, \\\"expires_in\\\": expires_in, \\\"refresh_token\\\": refresh_token, } ) def get_authorization_code_from_uri(self, uri): \\\"\\\"\\\"Get authorization code\",\n \"the request, instead automatically parsing the query string parameters. :param uri: URI to\",\n \"NotImplementedError(\\\"Subclasses must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement\",\n \"must implement \\\" \\\"validate_client_id.\\\") def validate_client_secret(self, client_id, client_secret): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"= None client_id = None expires_in = None error = None def raise_error_if_invalid(self):\",\n \"not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") # Discard original authorization code self.discard_authorization_code(client_id, code) # Generate\",\n \"self.get_authorization_header() if not header or not header.split: return auth header = header.split() if\",\n \"Must be exactly \\\"code\\\". :type response_type: str :param client_id: Client ID. :type client_id:\",\n \"token_length(self): \\\"\\\"\\\"Property method to get the length used to generate tokens. :rtype: int\",\n \"client_id: Client ID. :type client_id: str :param redirect_uri: Client redirect URI. :type redirect_uri:\",\n \"False validate_redirect_uri(self, client_id, redirect_uri) # Return True or False validate_access(self) # Use this\",\n \"err: str :rtype: requests.Response \\\"\\\"\\\" return self._make_json_response({\\\"error\\\": err}, status_code=400) def _invalid_redirect_uri_response(self): \\\"\\\"\\\"What to\",\n \"from a URI. This method will ignore the domain and path of the\",\n \"str \\\"\\\"\\\" return utils.random_ascii_string(self.token_length) def get_authorization_code(self, response_type, client_id, redirect_uri, **params): \\\"\\\"\\\"Generate authorization code\",\n \"other server errors return self._make_json_error_response(\\\"server_error\\\") def validate_client_id(self, client_id): raise NotImplementedError(\\\"Subclasses must implement \\\"\",\n \"\\\"code\\\"]: if not data.get(x): raise TypeError(\\\"Missing required OAuth 2.0 POST param: {0}\\\".format(x)) return\",\n \"to acheive desired behavior: @property token_length(self) @property token_type(self) @property token_expires_in(self) generate_authorization_code(self) generate_access_token(self) generate_refresh_token(self)\",\n \"if not (is_valid_client_id and is_valid_client_secret): return self._make_json_error_response(\\\"invalid_client\\\") if not is_valid_scope: return self._make_json_error_response(\\\"invalid_scope\\\") if\",\n \":type err: str :rtype: requests.Response \\\"\\\"\\\" params = {\\\"error\\\": err, \\\"response_type\\\": None, \\\"client_id\\\":\",\n \"\\\"response_type\\\" not in params: raise TypeError(\\\"Missing parameter response_type in URL query\\\") if \\\"client_id\\\"\",\n \"try: # Verify OAuth 2.0 Parameters for x in [\\\"grant_type\\\", \\\"client_id\\\", \\\"client_secret\\\"]: if\"\n]","isConversational":false}}},{"rowIdx":796,"cells":{"ngram":{"kind":"list like","value":["extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k","resize_shape=(224,224) # (w,h) a tuple for resizing the input images to the same","the resorted_img function to label the images under different folders m.resorted_img( selected_k_num=100# a","ImageCluster calculates every k in range(2,30+1) ) # calculate the feature maps #","best cluster number for this dataset. #So,we can call the resorted_img function to","ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster","can call the resorted_img function to label the images under different folders m.resorted_img(","dataset. #So,we can call the resorted_img function to label the images under different","model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num","means ImageCluster calculates every k in range(2,30+1) ) # calculate the feature maps","call the resorted_img function to label the images under different folders m.resorted_img( selected_k_num=100#","#As we can see, 21 may be the best cluster number for this","the images under different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK] )","<reponame>TomHacker/ImageCluster from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder","images to the same shape # ) # #clustering for feature maps #","see, 21 may be the best cluster number for this dataset. #So,we can","to the same shape # ) # #clustering for feature maps # m.imagecluster()","import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images","k in range(2,30+1) ) # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224)","(w,h) a tuple for resizing the input images to the same shape #","feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the","be the best cluster number for this dataset. #So,we can call the resorted_img","to label the images under different folders m.resorted_img( selected_k_num=100# a int number in","max k num is 30, which means ImageCluster calculates every k in range(2,30+1)","m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the input images to","this dataset. #So,we can call the resorted_img function to label the images under",") # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a","function to label the images under different folders m.resorted_img( selected_k_num=100# a int number","in range(2,30+1) ) # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) #","30, which means ImageCluster calculates every k in range(2,30+1) ) # calculate the","#So,we can call the resorted_img function to label the images under different folders","for feature maps # m.imagecluster() #As we can see, 21 may be the","is 30, which means ImageCluster calculates every k in range(2,30+1) ) # calculate","base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster calculates every k","map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max","for resizing the input images to the same shape # ) # #clustering","range(2,30+1) ) # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h)","for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which","resizing the input images to the same shape # ) # #clustering for","from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for","may be the best cluster number for this dataset. #So,we can call the","number for this dataset. #So,we can call the resorted_img function to label the","maps # m.imagecluster() #As we can see, 21 may be the best cluster","m.imagecluster() #As we can see, 21 may be the best cluster number for","every k in range(2,30+1) ) # calculate the feature maps # m.get_feature_map( #","calculates every k in range(2,30+1) ) # calculate the feature maps # m.get_feature_map(","resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is","tuple for resizing the input images to the same shape # ) #","label the images under different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK]","algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster calculates every","# resize_shape=(224,224) # (w,h) a tuple for resizing the input images to the",") # #clustering for feature maps # m.imagecluster() #As we can see, 21","m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm","feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the","k num is 30, which means ImageCluster calculates every k in range(2,30+1) )","maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the input","maxK=150,#the max k num is 30, which means ImageCluster calculates every k in","for this dataset. #So,we can call the resorted_img function to label the images","cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster calculates","we can see, 21 may be the best cluster number for this dataset.","can see, 21 may be the best cluster number for this dataset. #So,we","base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data',","a tuple for resizing the input images to the same shape # )","shape # ) # #clustering for feature maps # m.imagecluster() #As we can","the same shape # ) # #clustering for feature maps # m.imagecluster() #As","input images to the same shape # ) # #clustering for feature maps","same shape # ) # #clustering for feature maps # m.imagecluster() #As we","feature maps # m.imagecluster() #As we can see, 21 may be the best","which means ImageCluster calculates every k in range(2,30+1) ) # calculate the feature","cluster number for this dataset. #So,we can call the resorted_img function to label","# (w,h) a tuple for resizing the input images to the same shape","resorted_img function to label the images under different folders m.resorted_img( selected_k_num=100# a int","calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for","# calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple","#clustering for feature maps # m.imagecluster() #As we can see, 21 may be","images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster","# #clustering for feature maps # m.imagecluster() #As we can see, 21 may","folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30,","# m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the input images","the input images to the same shape # ) # #clustering for feature","# m.imagecluster() #As we can see, 21 may be the best cluster number","# ) # #clustering for feature maps # m.imagecluster() #As we can see,","the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing","21 may be the best cluster number for this dataset. #So,we can call","clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means","the best cluster number for this dataset. #So,we can call the resorted_img function","model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered","num is 30, which means ImageCluster calculates every k in range(2,30+1) ) #"],"string":"[\n \"extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k\",\n \"resize_shape=(224,224) # (w,h) a tuple for resizing the input images to the same\",\n \"the resorted_img function to label the images under different folders m.resorted_img( selected_k_num=100# a\",\n \"ImageCluster calculates every k in range(2,30+1) ) # calculate the feature maps #\",\n \"best cluster number for this dataset. #So,we can call the resorted_img function to\",\n \"ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster\",\n \"can call the resorted_img function to label the images under different folders m.resorted_img(\",\n \"dataset. #So,we can call the resorted_img function to label the images under different\",\n \"model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num\",\n \"means ImageCluster calculates every k in range(2,30+1) ) # calculate the feature maps\",\n \"call the resorted_img function to label the images under different folders m.resorted_img( selected_k_num=100#\",\n \"#As we can see, 21 may be the best cluster number for this\",\n \"the images under different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK] )\",\n \"<reponame>TomHacker/ImageCluster from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder\",\n \"images to the same shape # ) # #clustering for feature maps #\",\n \"see, 21 may be the best cluster number for this dataset. #So,we can\",\n \"to the same shape # ) # #clustering for feature maps # m.imagecluster()\",\n \"import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images\",\n \"k in range(2,30+1) ) # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224)\",\n \"(w,h) a tuple for resizing the input images to the same shape #\",\n \"feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the\",\n \"be the best cluster number for this dataset. #So,we can call the resorted_img\",\n \"to label the images under different folders m.resorted_img( selected_k_num=100# a int number in\",\n \"max k num is 30, which means ImageCluster calculates every k in range(2,30+1)\",\n \"m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the input images to\",\n \"this dataset. #So,we can call the resorted_img function to label the images under\",\n \") # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a\",\n \"function to label the images under different folders m.resorted_img( selected_k_num=100# a int number\",\n \"in range(2,30+1) ) # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) #\",\n \"30, which means ImageCluster calculates every k in range(2,30+1) ) # calculate the\",\n \"#So,we can call the resorted_img function to label the images under different folders\",\n \"for feature maps # m.imagecluster() #As we can see, 21 may be the\",\n \"is 30, which means ImageCluster calculates every k in range(2,30+1) ) # calculate\",\n \"base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster calculates every k\",\n \"map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max\",\n \"for resizing the input images to the same shape # ) # #clustering\",\n \"range(2,30+1) ) # calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h)\",\n \"for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which\",\n \"resizing the input images to the same shape # ) # #clustering for\",\n \"from model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for\",\n \"may be the best cluster number for this dataset. #So,we can call the\",\n \"number for this dataset. #So,we can call the resorted_img function to label the\",\n \"maps # m.imagecluster() #As we can see, 21 may be the best cluster\",\n \"m.imagecluster() #As we can see, 21 may be the best cluster number for\",\n \"every k in range(2,30+1) ) # calculate the feature maps # m.get_feature_map( #\",\n \"calculates every k in range(2,30+1) ) # calculate the feature maps # m.get_feature_map(\",\n \"resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is\",\n \"tuple for resizing the input images to the same shape # ) #\",\n \"label the images under different folders m.resorted_img( selected_k_num=100# a int number in range[2,maxK]\",\n \"algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster calculates every\",\n \"# resize_shape=(224,224) # (w,h) a tuple for resizing the input images to the\",\n \") # #clustering for feature maps # m.imagecluster() #As we can see, 21\",\n \"m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm\",\n \"feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the\",\n \"k num is 30, which means ImageCluster calculates every k in range(2,30+1) )\",\n \"maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the input\",\n \"maxK=150,#the max k num is 30, which means ImageCluster calculates every k in\",\n \"for this dataset. #So,we can call the resorted_img function to label the images\",\n \"cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster calculates\",\n \"we can see, 21 may be the best cluster number for this dataset.\",\n \"can see, 21 may be the best cluster number for this dataset. #So,we\",\n \"base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data',\",\n \"a tuple for resizing the input images to the same shape # )\",\n \"shape # ) # #clustering for feature maps # m.imagecluster() #As we can\",\n \"the same shape # ) # #clustering for feature maps # m.imagecluster() #As\",\n \"input images to the same shape # ) # #clustering for feature maps\",\n \"same shape # ) # #clustering for feature maps # m.imagecluster() #As we\",\n \"feature maps # m.imagecluster() #As we can see, 21 may be the best\",\n \"which means ImageCluster calculates every k in range(2,30+1) ) # calculate the feature\",\n \"cluster number for this dataset. #So,we can call the resorted_img function to label\",\n \"# (w,h) a tuple for resizing the input images to the same shape\",\n \"resorted_img function to label the images under different folders m.resorted_img( selected_k_num=100# a int\",\n \"calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for\",\n \"# calculate the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple\",\n \"#clustering for feature maps # m.imagecluster() #As we can see, 21 may be\",\n \"images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means ImageCluster\",\n \"# #clustering for feature maps # m.imagecluster() #As we can see, 21 may\",\n \"folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30,\",\n \"# m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing the input images\",\n \"the input images to the same shape # ) # #clustering for feature\",\n \"# m.imagecluster() #As we can see, 21 may be the best cluster number\",\n \"# ) # #clustering for feature maps # m.imagecluster() #As we can see,\",\n \"the feature maps # m.get_feature_map( # resize_shape=(224,224) # (w,h) a tuple for resizing\",\n \"21 may be the best cluster number for this dataset. #So,we can call\",\n \"clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k num is 30, which means\",\n \"the best cluster number for this dataset. #So,we can call the resorted_img function\",\n \"model import ImageCluster m=ImageCluster( base_model='vgg16',#your feature map extractor model resorted_img_folder='resorted_data',#the folder for clustered\",\n \"num is 30, which means ImageCluster calculates every k in range(2,30+1) ) #\"\n]","isConversational":false}}},{"rowIdx":797,"cells":{"ngram":{"kind":"list like","value":["# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you","writing, software # distributed under the License is distributed on an \"AS IS\"","permissions and # limitations under the License. import torch from gradsflow.models import Model","KIND, either express or implied. # See the License for the specific language","Unless required by applicable law or agreed to in writing, software # distributed","You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #","the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR","# See the License for the specific language governing permissions and # limitations","License. # You may obtain a copy of the License at # #","rights reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\");","law or agreed to in writing, software # distributed under the License is","the License for the specific language governing permissions and # limitations under the","compliance with the License. # You may obtain a copy of the License","batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1),","# limitations under the License. import torch from gradsflow.models import Model class DummyModel(Model):","limitations under the License. import torch from gradsflow.models import Model class DummyModel(Model): def","on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,","this file except in compliance with the License. # You may obtain a","the Apache License, Version 2.0 (the \"License\"); # you may not use this","specific language governing permissions and # limitations under the License. import torch from","you may not use this file except in compliance with the License. #","for the specific language governing permissions and # limitations under the License. import","language governing permissions and # limitations under the License. import torch from gradsflow.models","None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch):","# Copyright (c) 2021 GradsFlow. All rights reserved. # # Licensed under the","of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable","under the License. import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self):","__init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def","def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return","ANY KIND, either express or implied. # See the License for the specific","super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1),","in compliance with the License. # You may obtain a copy of the","License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or","# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #","use this file except in compliance with the License. # You may obtain","at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed","License. import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner =","not use this file except in compliance with the License. # You may","train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\":","WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See","See the License for the specific language governing permissions and # limitations under","torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def","BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.","reserved. # # Licensed under the Apache License, Version 2.0 (the \"License\"); #","License, Version 2.0 (the \"License\"); # you may not use this file except","# Licensed under the Apache License, Version 2.0 (the \"License\"); # you may","import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self,","IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or","torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}}","a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required","distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY","class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor):","# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in","OF ANY KIND, either express or implied. # See the License for the","the License. import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner","2.0 (the \"License\"); # you may not use this file except in compliance","# you may not use this file except in compliance with the License.","(c) 2021 GradsFlow. All rights reserved. # # Licensed under the Apache License,","agreed to in writing, software # distributed under the License is distributed on","loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}}","WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the","gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def","def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None","GradsFlow. All rights reserved. # # Licensed under the Apache License, Version 2.0","(the \"License\"); # you may not use this file except in compliance with","learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self,","# # Unless required by applicable law or agreed to in writing, software","Copyright (c) 2021 GradsFlow. All rights reserved. # # Licensed under the Apache","express or implied. # See the License for the specific language governing permissions","Version 2.0 (the \"License\"); # you may not use this file except in","# Unless required by applicable law or agreed to in writing, software #","except in compliance with the License. # You may obtain a copy of","by applicable law or agreed to in writing, software # distributed under the","copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by","either express or implied. # See the License for the specific language governing","software # distributed under the License is distributed on an \"AS IS\" BASIS,","# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0","may not use this file except in compliance with the License. # You","License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS","return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\":","Licensed under the Apache License, Version 2.0 (the \"License\"); # you may not","an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either","# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to","file except in compliance with the License. # You may obtain a copy","2021 GradsFlow. All rights reserved. # # Licensed under the Apache License, Version","torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return","under the License is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES","4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\":","License for the specific language governing permissions and # limitations under the License.","the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law","the License. # You may obtain a copy of the License at #","= torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch):","to in writing, software # distributed under the License is distributed on an","\"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express","# distributed under the License is distributed on an \"AS IS\" BASIS, #","torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4)","implied. # See the License for the specific language governing permissions and #","\"License\"); # you may not use this file except in compliance with the","import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1,","is distributed on an \"AS IS\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF","obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless","required by applicable law or agreed to in writing, software # distributed under","backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\":","applicable law or agreed to in writing, software # distributed under the License","and # limitations under the License. import torch from gradsflow.models import Model class","return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self,","or agreed to in writing, software # distributed under the License is distributed","the specific language governing permissions and # limitations under the License. import torch","governing permissions and # limitations under the License. import torch from gradsflow.models import","or implied. # See the License for the specific language governing permissions and","distributed under the License is distributed on an \"AS IS\" BASIS, # WITHOUT","CONDITIONS OF ANY KIND, either express or implied. # See the License for","All rights reserved. # # Licensed under the Apache License, Version 2.0 (the","Apache License, Version 2.0 (the \"License\"); # you may not use this file","OR CONDITIONS OF ANY KIND, either express or implied. # See the License","may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #","Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss:","{\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\": 1}} def val_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\": {\"accuracy\":","DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return","from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner)","with the License. # You may obtain a copy of the License at","http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,","in writing, software # distributed under the License is distributed on an \"AS","under the Apache License, Version 2.0 (the \"License\"); # you may not use","def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\"loss\": torch.as_tensor(1), \"metrics\":"],"string":"[\n \"# # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you\",\n \"writing, software # distributed under the License is distributed on an \\\"AS IS\\\"\",\n \"permissions and # limitations under the License. import torch from gradsflow.models import Model\",\n \"KIND, either express or implied. # See the License for the specific language\",\n \"Unless required by applicable law or agreed to in writing, software # distributed\",\n \"You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 #\",\n \"the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR\",\n \"# See the License for the specific language governing permissions and # limitations\",\n \"License. # You may obtain a copy of the License at # #\",\n \"rights reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\",\n \"law or agreed to in writing, software # distributed under the License is\",\n \"the License for the specific language governing permissions and # limitations under the\",\n \"compliance with the License. # You may obtain a copy of the License\",\n \"batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1),\",\n \"# limitations under the License. import torch from gradsflow.models import Model class DummyModel(Model):\",\n \"limitations under the License. import torch from gradsflow.models import Model class DummyModel(Model): def\",\n \"on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,\",\n \"this file except in compliance with the License. # You may obtain a\",\n \"the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this\",\n \"specific language governing permissions and # limitations under the License. import torch from\",\n \"you may not use this file except in compliance with the License. #\",\n \"for the specific language governing permissions and # limitations under the License. import\",\n \"language governing permissions and # limitations under the License. import torch from gradsflow.models\",\n \"None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch):\",\n \"# Copyright (c) 2021 GradsFlow. All rights reserved. # # Licensed under the\",\n \"of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable\",\n \"under the License. import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self):\",\n \"__init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def\",\n \"def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return\",\n \"ANY KIND, either express or implied. # See the License for the specific\",\n \"super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1),\",\n \"in compliance with the License. # You may obtain a copy of the\",\n \"License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or\",\n \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #\",\n \"use this file except in compliance with the License. # You may obtain\",\n \"at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed\",\n \"License. import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner =\",\n \"not use this file except in compliance with the License. # You may\",\n \"train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\":\",\n \"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See\",\n \"See the License for the specific language governing permissions and # limitations under\",\n \"torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def\",\n \"BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\",\n \"reserved. # # Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); #\",\n \"License, Version 2.0 (the \\\"License\\\"); # you may not use this file except\",\n \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may\",\n \"import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self,\",\n \"IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\",\n \"torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}}\",\n \"a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required\",\n \"distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY\",\n \"class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor):\",\n \"# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in\",\n \"OF ANY KIND, either express or implied. # See the License for the\",\n \"the License. import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner\",\n \"2.0 (the \\\"License\\\"); # you may not use this file except in compliance\",\n \"# you may not use this file except in compliance with the License.\",\n \"(c) 2021 GradsFlow. All rights reserved. # # Licensed under the Apache License,\",\n \"agreed to in writing, software # distributed under the License is distributed on\",\n \"loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}}\",\n \"WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the\",\n \"gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def\",\n \"def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None\",\n \"GradsFlow. All rights reserved. # # Licensed under the Apache License, Version 2.0\",\n \"(the \\\"License\\\"); # you may not use this file except in compliance with\",\n \"learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self,\",\n \"# # Unless required by applicable law or agreed to in writing, software\",\n \"Copyright (c) 2021 GradsFlow. All rights reserved. # # Licensed under the Apache\",\n \"express or implied. # See the License for the specific language governing permissions\",\n \"Version 2.0 (the \\\"License\\\"); # you may not use this file except in\",\n \"# Unless required by applicable law or agreed to in writing, software #\",\n \"except in compliance with the License. # You may obtain a copy of\",\n \"by applicable law or agreed to in writing, software # distributed under the\",\n \"copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by\",\n \"either express or implied. # See the License for the specific language governing\",\n \"software # distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\",\n \"# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0\",\n \"may not use this file except in compliance with the License. # You\",\n \"License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS\",\n \"return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\":\",\n \"Licensed under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not\",\n \"an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\",\n \"# # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to\",\n \"file except in compliance with the License. # You may obtain a copy\",\n \"2021 GradsFlow. All rights reserved. # # Licensed under the Apache License, Version\",\n \"torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return\",\n \"under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES\",\n \"4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\":\",\n \"License for the specific language governing permissions and # limitations under the License.\",\n \"the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law\",\n \"the License. # You may obtain a copy of the License at #\",\n \"= torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return None def train_step(self, batch):\",\n \"to in writing, software # distributed under the License is distributed on an\",\n \"\\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\",\n \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS, #\",\n \"torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4)\",\n \"implied. # See the License for the specific language governing permissions and #\",\n \"\\\"License\\\"); # you may not use this file except in compliance with the\",\n \"import torch from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1,\",\n \"is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF\",\n \"obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless\",\n \"required by applicable law or agreed to in writing, software # distributed under\",\n \"backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\":\",\n \"applicable law or agreed to in writing, software # distributed under the License\",\n \"and # limitations under the License. import torch from gradsflow.models import Model class\",\n \"return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self,\",\n \"or agreed to in writing, software # distributed under the License is distributed\",\n \"the specific language governing permissions and # limitations under the License. import torch\",\n \"governing permissions and # limitations under the License. import torch from gradsflow.models import\",\n \"or implied. # See the License for the specific language governing permissions and\",\n \"distributed under the License is distributed on an \\\"AS IS\\\" BASIS, # WITHOUT\",\n \"CONDITIONS OF ANY KIND, either express or implied. # See the License for\",\n \"All rights reserved. # # Licensed under the Apache License, Version 2.0 (the\",\n \"Apache License, Version 2.0 (the \\\"License\\\"); # you may not use this file\",\n \"OR CONDITIONS OF ANY KIND, either express or implied. # See the License\",\n \"may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #\",\n \"Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss:\",\n \"{\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\": 1}} def val_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\": {\\\"accuracy\\\":\",\n \"DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner) def backward(self, loss: torch.Tensor): return\",\n \"from gradsflow.models import Model class DummyModel(Model): def __init__(self): learner = torch.nn.Linear(1, 4) super().__init__(learner)\",\n \"with the License. # You may obtain a copy of the License at\",\n \"http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,\",\n \"in writing, software # distributed under the License is distributed on an \\\"AS\",\n \"under the Apache License, Version 2.0 (the \\\"License\\\"); # you may not use\",\n \"def backward(self, loss: torch.Tensor): return None def train_step(self, batch): return {\\\"loss\\\": torch.as_tensor(1), \\\"metrics\\\":\"\n]","isConversational":false}}},{"rowIdx":798,"cells":{"ngram":{"kind":"list like","value":["parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type","baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize","method to communicate with any serial device. Please note that default mode attempt","= type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout =","fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self,","with devices (routers, switch, ...) over console cable but you can use underlaying","execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if","self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id","cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\"))","id(self): if self._id is None: self._id = \"serial.%s\" % (self.device) return self._id def","def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return","This executor is primary made to communicate with devices (routers, switch, ...) over","def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device =","= None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity,","timeout=self.timeout, ) return True @property def id(self): if self._id is None: self._id =","source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" % (self.device) __str__","use underlaying method to communicate with any serial device. Please note that default","self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return","import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to","def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial:","bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id is None: self._id","createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self):","baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id","communicate with devices (routers, switch, ...) over console cable but you can use","serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate with devices","send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command):","raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return","self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" %","source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" %","Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class","type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout",".ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made","with any serial device. Please note that default mode attempt to recognize a","\"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\")","= self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True,","self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input =","switch, ...) over console cable but you can use underlaying method to communicate","device with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1,","upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\",","serial device. Please note that default mode attempt to recognize a device with","self.type = type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout","that default mode attempt to recognize a device with cisco like commands. \"\"\"","self._id = \"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True,","communicate with any serial device. Please note that default mode attempt to recognize","command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self,","checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def","type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate","ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type = type self.parity =","(routers, switch, ...) over console cable but you can use underlaying method to","checkok=False) self.device = device self.baudrate = baudrate self.type = type self.parity = parity","bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type = type","cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1):","self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize,","bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console","None: self._id = \"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None,","= \"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0,","raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" % (self.device) __str__ = __repr__","= serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def","_execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True,","self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property","not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data):","\"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def","primary made to communicate with devices (routers, switch, ...) over console cable but","input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\",","def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\",","if self._id is None: self._id = \"serial.%s\" % (self.device) return self._id def execute(self,","j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\"","default mode attempt to recognize a device with cisco like commands. \"\"\" def","timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\"","self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\")","%s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\",","you can use underlaying method to communicate with any serial device. Please note","mode attempt to recognize a device with cisco like commands. \"\"\" def __init__(self,","return True @property def id(self): if self._id is None: self._id = \"serial.%s\" %","= j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor","...) over console cable but you can use underlaying method to communicate with","devices (routers, switch, ...) over console cable but you can use underlaying method","note that default mode attempt to recognize a device with cisco like commands.","enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def","* import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate","parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id = None","def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest,","self._id is None: self._id = \"serial.%s\" % (self.device) return self._id def execute(self, cmds,","cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def","to recognize a device with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600,","def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented()","any serial device. Please note that default mode attempt to recognize a device","<reponame>gneumann333/jumpscaleX_core from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import * import","stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type =","source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True):","def id(self): if self._id is None: self._id = \"serial.%s\" % (self.device) return self._id","\"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}):","showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds +=","return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\"","showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented()","% cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\"","made to communicate with devices (routers, switch, ...) over console cable but you","download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\"","timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device,","% (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial","j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is","parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id is","command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0,","def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self,","a device with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\",","stopbits self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch()","return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None):","= parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id =","def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def","self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, )","\"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input","= baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize =","cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not","j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor","data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command)","stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id is None:","die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise","True @property def id(self): if self._id is None: self._id = \"serial.%s\" % (self.device)","self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source,","= timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial(","console cable but you can use underlaying method to communicate with any serial","timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type = type self.parity","is primary made to communicate with devices (routers, switch, ...) over console cable","device. Please note that default mode attempt to recognize a device with cisco","commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False)","port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if","0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return","raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self,","\"\"\" This executor is primary made to communicate with devices (routers, switch, ...)","die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"):","= bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self):","from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary","__init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device","with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8,","j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source,","input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise","self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\")","import serial class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate with","to communicate with devices (routers, switch, ...) over console cable but you can","recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def","reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True",") return True @property def id(self): if self._id is None: self._id = \"serial.%s\"","JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \"\"\" This","dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented()","cable but you can use underlaying method to communicate with any serial device.","attempt to recognize a device with cisco like commands. \"\"\" def __init__(self, device,","can use underlaying method to communicate with any serial device. Please note that","def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds)","checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds","device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate","baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate =","+= \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self):","dest, source_prefix=\"\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" % (self.device)","return 0, \"\", \"\" def send(self, data): self.console.write(data.encode(\"utf-8\")) def fetch(self): input = self.console.read_all()","like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self,","self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout,","@property def id(self): if self._id is None: self._id = \"serial.%s\" % (self.device) return","executor is primary made to communicate with devices (routers, switch, ...) over console","but you can use underlaying method to communicate with any serial device. Please","self.console.read_all() return input.decode(\"utf-8\") def enter(self, command): self.send(command) self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True,","content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\"\", recursive=True, createdir=True):","is None: self._id = \"serial.%s\" % (self.device) return self._id def execute(self, cmds, die=True,","cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def","self.baudrate = baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize","device self.baudrate = baudrate self.type = type self.parity = parity self.stopbits = stopbits","dest, dest_prefix=\"\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\"\", recursive=True): raise","env={}): self._log_debug(\"Serial command: %s\" % cmds) if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds)","from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial","if not cmds.endswith(\"\\n\"): cmds += \"\\n\" self.send(cmds) return 0, \"\", \"\" def send(self,","= stopbits self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect()","import j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase):","self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate,","self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console =","self.send(\"\\n\") def _execute_script(self, content=\"\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest,","self.device = device self.baudrate = baudrate self.type = type self.parity = parity self.stopbits","to communicate with any serial device. Please note that default mode attempt to","underlaying method to communicate with any serial device. Please note that default mode","(self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\"Serial command:","Please note that default mode attempt to recognize a device with cisco like","ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate with devices (routers, switch,","recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \"Executor serial: %s\" % (self.device) __str__ =","= device self.baudrate = baudrate self.type = type self.parity = parity self.stopbits =","self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\"Initialized\") self.reconnect() self.fetch() def","over console cable but you can use underlaying method to communicate with any","\"\"\" def __init__(self, device, baudrate=9600, type=\"serial\", parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device","recognize a device with cisco like commands. \"\"\" def __init__(self, device, baudrate=9600, type=\"serial\",","class ExecutorSerial(ExecutorBase): \"\"\" This executor is primary made to communicate with devices (routers,","serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self):","None self._log_info(\"Initialized\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits,"],"string":"[\n \"parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type\",\n \"baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize\",\n \"method to communicate with any serial device. Please note that default mode attempt\",\n \"= type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout =\",\n \"fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self,\",\n \"with devices (routers, switch, ...) over console cable but you can use underlaying\",\n \"execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if\",\n \"self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id\",\n \"cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\"))\",\n \"id(self): if self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def\",\n \"def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return\",\n \"This executor is primary made to communicate with devices (routers, switch, ...) over\",\n \"def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device =\",\n \"= None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity,\",\n \"timeout=self.timeout, ) return True @property def id(self): if self._id is None: self._id =\",\n \"source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device) __str__\",\n \"use underlaying method to communicate with any serial device. Please note that default\",\n \"self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return\",\n \"import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to\",\n \"def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial:\",\n \"bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id is None: self._id\",\n \"createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self):\",\n \"baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id\",\n \"communicate with devices (routers, switch, ...) over console cable but you can use\",\n \"serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate with devices\",\n \"send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command):\",\n \"raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return\",\n \"self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" %\",\n \"source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" %\",\n \"Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class\",\n \"type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout\",\n \".ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made\",\n \"with any serial device. Please note that default mode attempt to recognize a\",\n \"\\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\")\",\n \"= self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True,\",\n \"self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input =\",\n \"switch, ...) over console cable but you can use underlaying method to communicate\",\n \"device with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1,\",\n \"upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\",\",\n \"serial device. Please note that default mode attempt to recognize a device with\",\n \"self.type = type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize self.timeout\",\n \"that default mode attempt to recognize a device with cisco like commands. \\\"\\\"\\\"\",\n \"self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True,\",\n \"communicate with any serial device. Please note that default mode attempt to recognize\",\n \"command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self,\",\n \"checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def\",\n \"type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate\",\n \"ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type = type self.parity =\",\n \"(routers, switch, ...) over console cable but you can use underlaying method to\",\n \"checkok=False) self.device = device self.baudrate = baudrate self.type = type self.parity = parity\",\n \"bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type = type\",\n \"cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1):\",\n \"self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize,\",\n \"bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console\",\n \"None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None,\",\n \"= \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0,\",\n \"raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device) __str__ = __repr__\",\n \"= serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def\",\n \"_execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True,\",\n \"self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property\",\n \"not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data):\",\n \"\\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def\",\n \"primary made to communicate with devices (routers, switch, ...) over console cable but\",\n \"input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\",\",\n \"def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\",\",\n \"if self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self,\",\n \"j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\"\",\n \"default mode attempt to recognize a device with cisco like commands. \\\"\\\"\\\" def\",\n \"timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\"\",\n \"self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\")\",\n \"%s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\",\",\n \"you can use underlaying method to communicate with any serial device. Please note\",\n \"mode attempt to recognize a device with cisco like commands. \\\"\\\"\\\" def __init__(self,\",\n \"return True @property def id(self): if self._id is None: self._id = \\\"serial.%s\\\" %\",\n \"= j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor\",\n \"...) over console cable but you can use underlaying method to communicate with\",\n \"devices (routers, switch, ...) over console cable but you can use underlaying method\",\n \"note that default mode attempt to recognize a device with cisco like commands.\",\n \"enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def\",\n \"* import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate\",\n \"parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id = None\",\n \"def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest,\",\n \"self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds,\",\n \"cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def\",\n \"to recognize a device with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600,\",\n \"def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented()\",\n \"any serial device. Please note that default mode attempt to recognize a device\",\n \"<reponame>gneumann333/jumpscaleX_core from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import * import\",\n \"stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type =\",\n \"source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True):\",\n \"def id(self): if self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id\",\n \"\\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}):\",\n \"showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds +=\",\n \"return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\"\",\n \"showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented()\",\n \"% cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\"\",\n \"made to communicate with devices (routers, switch, ...) over console cable but you\",\n \"download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\"\",\n \"timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device,\",\n \"% (self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial\",\n \"j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is\",\n \"parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id is\",\n \"command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0,\",\n \"def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self,\",\n \"a device with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\",\",\n \"stopbits self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch()\",\n \"return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None):\",\n \"= parity self.stopbits = stopbits self.bytesize = bytesize self.timeout = timeout self._id =\",\n \"def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def\",\n \"self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, )\",\n \"\\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input\",\n \"= baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize =\",\n \"cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not\",\n \"j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor\",\n \"data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command)\",\n \"stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if self._id is None:\",\n \"die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise\",\n \"True @property def id(self): if self._id is None: self._id = \\\"serial.%s\\\" % (self.device)\",\n \"self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source,\",\n \"= timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial(\",\n \"console cable but you can use underlaying method to communicate with any serial\",\n \"timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type = type self.parity\",\n \"is primary made to communicate with devices (routers, switch, ...) over console cable\",\n \"device. Please note that default mode attempt to recognize a device with cisco\",\n \"commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False)\",\n \"port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self): if\",\n \"0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return\",\n \"raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self,\",\n \"\\\"\\\"\\\" This executor is primary made to communicate with devices (routers, switch, ...)\",\n \"die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"):\",\n \"= bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self):\",\n \"from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary\",\n \"__init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device\",\n \"with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8,\",\n \"j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source,\",\n \"input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise\",\n \"self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\")\",\n \"import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate with\",\n \"to communicate with devices (routers, switch, ...) over console cable but you can\",\n \"recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def\",\n \"reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True\",\n \") return True @property def id(self): if self._id is None: self._id = \\\"serial.%s\\\"\",\n \"JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This\",\n \"dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented()\",\n \"cable but you can use underlaying method to communicate with any serial device.\",\n \"attempt to recognize a device with cisco like commands. \\\"\\\"\\\" def __init__(self, device,\",\n \"can use underlaying method to communicate with any serial device. Please note that\",\n \"def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds)\",\n \"checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds\",\n \"device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate\",\n \"baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate =\",\n \"+= \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self):\",\n \"dest, source_prefix=\\\"\\\", recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device)\",\n \"return 0, \\\"\\\", \\\"\\\" def send(self, data): self.console.write(data.encode(\\\"utf-8\\\")) def fetch(self): input = self.console.read_all()\",\n \"like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self,\",\n \"self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout,\",\n \"@property def id(self): if self._id is None: self._id = \\\"serial.%s\\\" % (self.device) return\",\n \"executor is primary made to communicate with devices (routers, switch, ...) over console\",\n \"but you can use underlaying method to communicate with any serial device. Please\",\n \"self.console.read_all() return input.decode(\\\"utf-8\\\") def enter(self, command): self.send(command) self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True,\",\n \"content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest, dest_prefix=\\\"\\\", recursive=True, createdir=True):\",\n \"is None: self._id = \\\"serial.%s\\\" % (self.device) return self._id def execute(self, cmds, die=True,\",\n \"cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def\",\n \"self.baudrate = baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize\",\n \"device self.baudrate = baudrate self.type = type self.parity = parity self.stopbits = stopbits\",\n \"dest, dest_prefix=\\\"\\\", recursive=True, createdir=True): raise j.exceptions.NotImplemented() def download(self, source, dest, source_prefix=\\\"\\\", recursive=True): raise\",\n \"env={}): self._log_debug(\\\"Serial command: %s\\\" % cmds) if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds)\",\n \"from Jumpscale import j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial\",\n \"if not cmds.endswith(\\\"\\\\n\\\"): cmds += \\\"\\\\n\\\" self.send(cmds) return 0, \\\"\\\", \\\"\\\" def send(self,\",\n \"= stopbits self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect()\",\n \"import j JSBASE = j.baseclasses.object from .ExecutorBase import * import serial class ExecutorSerial(ExecutorBase):\",\n \"self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate,\",\n \"self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console =\",\n \"self.send(\\\"\\\\n\\\") def _execute_script(self, content=\\\"\\\", die=True, showout=True, checkok=None): raise j.exceptions.NotImplemented() def upload(self, source, dest,\",\n \"self.device = device self.baudrate = baudrate self.type = type self.parity = parity self.stopbits\",\n \"to communicate with any serial device. Please note that default mode attempt to\",\n \"underlaying method to communicate with any serial device. Please note that default mode\",\n \"(self.device) return self._id def execute(self, cmds, die=True, checkok=None, showout=True, timeout=0, env={}): self._log_debug(\\\"Serial command:\",\n \"Please note that default mode attempt to recognize a device with cisco like\",\n \"ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate with devices (routers, switch,\",\n \"recursive=True): raise j.exceptions.NotImplemented() def __repr__(self): return \\\"Executor serial: %s\\\" % (self.device) __str__ =\",\n \"= device self.baudrate = baudrate self.type = type self.parity = parity self.stopbits =\",\n \"self.bytesize = bytesize self.timeout = timeout self._id = None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def\",\n \"over console cable but you can use underlaying method to communicate with any\",\n \"\\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\", parity=\\\"N\\\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device\",\n \"recognize a device with cisco like commands. \\\"\\\"\\\" def __init__(self, device, baudrate=9600, type=\\\"serial\\\",\",\n \"class ExecutorSerial(ExecutorBase): \\\"\\\"\\\" This executor is primary made to communicate with devices (routers,\",\n \"serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits, bytesize=self.bytesize, timeout=self.timeout, ) return True @property def id(self):\",\n \"None self._log_info(\\\"Initialized\\\") self.reconnect() self.fetch() def reconnect(self): self.console = serial.Serial( port=self.device, baudrate=self.baudrate, parity=self.parity, stopbits=self.stopbits,\"\n]","isConversational":false}}},{"rowIdx":799,"cells":{"ngram":{"kind":"list like","value":["in some unique scenarios in which child objects share their parent's ID. Because","to 64 bits in size (e.g. a uint64), they are always returned as","as strings in the HTTP API to prevent integer overflows in some languages.","languages. See Gateway ETF/JSON for more information regarding Gateway encoding. Read more here:","-> int: \"\"\" Milliseconds since Discord Epoch, the first second of 2015 or","int: \"\"\"For every ID that is generated on that process, this number is","(e.g. a uint64), they are always returned as strings in the HTTP API","to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value should be less","return (self >> 12) % 16 @property def increment(self) -> int: \"\"\"For every","should be less than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string:","@property def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the first second","since Discord Epoch, the first second of 2015 or 1420070400000. \"\"\" return self","child objects share their parent's ID. Because Snowflake IDs are up to 64","2022 - Present # Full MIT License can be found in `LICENSE.txt` at","super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or","16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >> 12)","from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for","= 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self <","9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def","22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >> 17)","which child objects share their parent's ID. Because Snowflake IDs are up to","MIT License can be found in `LICENSE.txt` at the project root. from __future__","or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return","\"\"\" return self >> 22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\"","to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod","MelisaDev 2022 - Present # Full MIT License can be found in `LICENSE.txt`",">> 22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >>","descriptors (IDs). These IDs are guaranteed to be unique across all of Discord,","ID that is generated on that process, this number is incremented\"\"\" return self","- Present # Full MIT License can be found in `LICENSE.txt` at the","class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs).","returned as strings in the HTTP API to prevent integer overflows in some","are always returned as strings in the HTTP API to prevent integer overflows","\"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__()","bits in size (e.g. a uint64), they are always returned as strings in","value should be less than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls,","def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str):","API to prevent integer overflows in some languages. See Gateway ETF/JSON for more","-> int: \"\"\"Internal process ID\"\"\" return (self >> 12) % 16 @property def","Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from","objects share their parent's ID. Because Snowflake IDs are up to 64 bits","\"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs","Snowflake IDs are up to 64 bits in size (e.g. a uint64), they","are guaranteed to be unique across all of Discord, except in some unique","self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or equal to","from a string. Parameters ---------- string: :class:`str` The snowflake as a string. \"\"\"","@classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string:","worker ID\"\"\" return (self >> 17) % 16 @property def process_id(self) -> int:","int = 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake","snowflake as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\"","more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int =","process, this number is incremented\"\"\" return self % 2048 @property def unix(self) ->","encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int =","on that process, this number is incremented\"\"\" return self % 2048 @property def","process ID\"\"\" return (self >> 12) % 16 @property def increment(self) -> int:","@property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >> 17) %","utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs are guaranteed","of Discord, except in some unique scenarios in which child objects share their","self._MAX_VALUE: raise ValueError( \"snowflake value should be less than or equal to 9223372036854775807.\"","first second of 2015 or 1420070400000. \"\"\" return self >> 22 @property def","generated on that process, this number is incremented\"\"\" return self % 2048 @property","less than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) ->","prevent integer overflows in some languages. See Gateway ETF/JSON for more information regarding","int: \"\"\" Milliseconds since Discord Epoch, the first second of 2015 or 1420070400000.","return self >> 22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return","timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the first second of 2015","a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since",">> 17) % 16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return","def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a string. Parameters ----------","process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >> 12) % 16 @property","annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors","Present # Full MIT License can be found in `LICENSE.txt` at the project","\"\"\"Internal worker ID\"\"\" return (self >> 17) % 16 @property def process_id(self) ->","(IDs). These IDs are guaranteed to be unique across all of Discord, except","for uniquely identifiable descriptors (IDs). These IDs are guaranteed to be unique across","return (self >> 17) % 16 @property def process_id(self) -> int: \"\"\"Internal process","a uint64), they are always returned as strings in the HTTP API to","incremented\"\"\" return self % 2048 @property def unix(self) -> int: return self.timestamp +","to prevent integer overflows in some languages. See Gateway ETF/JSON for more information","in some languages. See Gateway ETF/JSON for more information regarding Gateway encoding. Read","information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807","new Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake as a","def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >> 12) % 16","string. Parameters ---------- string: :class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string))","their parent's ID. Because Snowflake IDs are up to 64 bits in size","cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a string.","self >> 22 @property def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self","IDs are guaranteed to be unique across all of Discord, except in some","0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should","\"\"\"Internal process ID\"\"\" return (self >> 12) % 16 @property def increment(self) ->","across all of Discord, except in some unique scenarios in which child objects","share their parent's ID. Because Snowflake IDs are up to 64 bits in","> self._MAX_VALUE: raise ValueError( \"snowflake value should be less than or equal to","-> int: \"\"\"For every ID that is generated on that process, this number","\"\"\"Initialize a new Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake","(self >> 17) % 16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\"","some languages. See Gateway ETF/JSON for more information regarding Gateway encoding. Read more","See Gateway ETF/JSON for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes","scenarios in which child objects share their parent's ID. Because Snowflake IDs are","Because Snowflake IDs are up to 64 bits in size (e.g. a uint64),","every ID that is generated on that process, this number is incremented\"\"\" return","equal to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value should be","return self % 2048 @property def unix(self) -> int: return self.timestamp + 1420070400000","uint64), they are always returned as strings in the HTTP API to prevent","of 2015 or 1420070400000. \"\"\" return self >> 22 @property def worker_id(self) ->","import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable","HTTP API to prevent integer overflows in some languages. See Gateway ETF/JSON for","17) % 16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self","unique scenarios in which child objects share their parent's ID. Because Snowflake IDs","overflows in some languages. See Gateway ETF/JSON for more information regarding Gateway encoding.","Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int","self > self._MAX_VALUE: raise ValueError( \"snowflake value should be less than or equal","number is incremented\"\"\" return self % 2048 @property def unix(self) -> int: return","@property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >> 12) %","def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be","ID\"\"\" return (self >> 17) % 16 @property def process_id(self) -> int: \"\"\"Internal","Copyright MelisaDev 2022 - Present # Full MIT License can be found in","These IDs are guaranteed to be unique across all of Discord, except in","# Full MIT License can be found in `LICENSE.txt` at the project root.",") @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls,","worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >> 17) % 16 @property","than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake:","(self >> 12) % 16 @property def increment(self) -> int: \"\"\"For every ID","at the project root. from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes","or 1420070400000. \"\"\" return self >> 22 @property def worker_id(self) -> int: \"\"\"Internal","this number is incremented\"\"\" return self % 2048 @property def unix(self) -> int:","Full MIT License can be found in `LICENSE.txt` at the project root. from","more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def","can be found in `LICENSE.txt` at the project root. from __future__ import annotations","9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE:","greater than or equal to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake","\"\"\"For every ID that is generated on that process, this number is incremented\"\"\"","__init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater","root. from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format","str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new","except in some unique scenarios in which child objects share their parent's ID.","https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _):","Discord Epoch, the first second of 2015 or 1420070400000. \"\"\" return self >>","second of 2015 or 1420070400000. \"\"\" return self >> 22 @property def worker_id(self)","here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self,","16 @property def increment(self) -> int: \"\"\"For every ID that is generated on","is incremented\"\"\" return self % 2048 @property def unix(self) -> int: return self.timestamp","\"\"\" Milliseconds since Discord Epoch, the first second of 2015 or 1420070400000. \"\"\"","a new Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake as","< self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or equal to 0.\")","Discord, except in some unique scenarios in which child objects share their parent's","__factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize","unique across all of Discord, except in some unique scenarios in which child","ValueError( \"snowflake value should be less than or equal to 9223372036854775807.\" ) @classmethod","string: :class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self)","size (e.g. a uint64), they are always returned as strings in the HTTP","__future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely","be less than or equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str)","is generated on that process, this number is incremented\"\"\" return self % 2048","string: str): \"\"\"Initialize a new Snowflake from a string. Parameters ---------- string: :class:`str`","in which child objects share their parent's ID. Because Snowflake IDs are up","% 16 @property def increment(self) -> int: \"\"\"For every ID that is generated","1420070400000. \"\"\" return self >> 22 @property def worker_id(self) -> int: \"\"\"Internal worker","a string. Parameters ---------- string: :class:`str` The snowflake as a string. \"\"\" return","ID. Because Snowflake IDs are up to 64 bits in size (e.g. a","value should be greater than or equal to 0.\") if self > self._MAX_VALUE:","def increment(self) -> int: \"\"\"For every ID that is generated on that process,","if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or equal","64 bits in size (e.g. a uint64), they are always returned as strings","Epoch, the first second of 2015 or 1420070400000. \"\"\" return self >> 22","@property def increment(self) -> int: \"\"\"For every ID that is generated on that","in `LICENSE.txt` at the project root. from __future__ import annotations class Snowflake(int): \"\"\"","uniquely identifiable descriptors (IDs). These IDs are guaranteed to be unique across all","guaranteed to be unique across all of Discord, except in some unique scenarios","found in `LICENSE.txt` at the project root. from __future__ import annotations class Snowflake(int):","IDs are up to 64 bits in size (e.g. a uint64), they are","always returned as strings in the HTTP API to prevent integer overflows in","Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs are","as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds","ETF/JSON for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE:","-> int: \"\"\"Internal worker ID\"\"\" return (self >> 17) % 16 @property def","they are always returned as strings in the HTTP API to prevent integer","int: \"\"\"Internal worker ID\"\"\" return (self >> 17) % 16 @property def process_id(self)","_MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise","identifiable descriptors (IDs). These IDs are guaranteed to be unique across all of","raise ValueError( \"snowflake value should be less than or equal to 9223372036854775807.\" )","\"snowflake value should be less than or equal to 9223372036854775807.\" ) @classmethod def","= 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value","str): \"\"\"Initialize a new Snowflake from a string. Parameters ---------- string: :class:`str` The","in size (e.g. a uint64), they are always returned as strings in the","_): super().__init__() if self < self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than","return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a","# Copyright MelisaDev 2022 - Present # Full MIT License can be found","@classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a string. Parameters","to be unique across all of Discord, except in some unique scenarios in","Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake as a string.","strings in the HTTP API to prevent integer overflows in some languages. See","up to 64 bits in size (e.g. a uint64), they are always returned","should be greater than or equal to 0.\") if self > self._MAX_VALUE: raise","ValueError(\"snowflake value should be greater than or equal to 0.\") if self >","return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the","\"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch,","that process, this number is incremented\"\"\" return self % 2048 @property def unix(self)","Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These","License can be found in `LICENSE.txt` at the project root. from __future__ import","the HTTP API to prevent integer overflows in some languages. See Gateway ETF/JSON","Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the first","`LICENSE.txt` at the project root. from __future__ import annotations class Snowflake(int): \"\"\" Discord",":class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) ->","or equal to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value should","int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self","int: \"\"\"Internal process ID\"\"\" return (self >> 12) % 16 @property def increment(self)","ID\"\"\" return (self >> 12) % 16 @property def increment(self) -> int: \"\"\"For","in the HTTP API to prevent integer overflows in some languages. See Gateway","integer overflows in some languages. See Gateway ETF/JSON for more information regarding Gateway","% 16 @property def process_id(self) -> int: \"\"\"Internal process ID\"\"\" return (self >>","string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a","Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs are guaranteed to","2015 or 1420070400000. \"\"\" return self >> 22 @property def worker_id(self) -> int:","some unique scenarios in which child objects share their parent's ID. Because Snowflake","the first second of 2015 or 1420070400000. \"\"\" return self >> 22 @property","be greater than or equal to 0.\") if self > self._MAX_VALUE: raise ValueError(","-> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \"\"\"Initialize a new Snowflake","all of Discord, except in some unique scenarios in which child objects share","---------- string: :class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string)) @property def","be found in `LICENSE.txt` at the project root. from __future__ import annotations class","snowflake format for uniquely identifiable descriptors (IDs). These IDs are guaranteed to be","format for uniquely identifiable descriptors (IDs). These IDs are guaranteed to be unique","Gateway ETF/JSON for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\"","raise ValueError(\"snowflake value should be greater than or equal to 0.\") if self","be unique across all of Discord, except in some unique scenarios in which","from_string(cls, string: str): \"\"\"Initialize a new Snowflake from a string. Parameters ---------- string:","regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE:","self._MIN_VALUE: raise ValueError(\"snowflake value should be greater than or equal to 0.\") if","def timestamp(self) -> int: \"\"\" Milliseconds since Discord Epoch, the first second of","0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value should be less than","The snowflake as a string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int:","def worker_id(self) -> int: \"\"\"Internal worker ID\"\"\" return (self >> 17) % 16","project root. from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's snowflake","than or equal to 0.\") if self > self._MAX_VALUE: raise ValueError( \"snowflake value","for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int",">> 12) % 16 @property def increment(self) -> int: \"\"\"For every ID that","Parameters ---------- string: :class:`str` The snowflake as a string. \"\"\" return Snowflake(int(string)) @property","12) % 16 @property def increment(self) -> int: \"\"\"For every ID that is","the project root. from __future__ import annotations class Snowflake(int): \"\"\" Discord utilizes Twitter's","_MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if","string. \"\"\" return Snowflake(int(string)) @property def timestamp(self) -> int: \"\"\" Milliseconds since Discord","Read more here: https://discord.com/developers/docs/reference#snowflakes \"\"\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0","Milliseconds since Discord Epoch, the first second of 2015 or 1420070400000. \"\"\" return","increment(self) -> int: \"\"\"For every ID that is generated on that process, this","parent's ID. Because Snowflake IDs are up to 64 bits in size (e.g.","equal to 9223372036854775807.\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string)","that is generated on that process, this number is incremented\"\"\" return self %","are up to 64 bits in size (e.g. a uint64), they are always","if self > self._MAX_VALUE: raise ValueError( \"snowflake value should be less than or"],"string":"[\n \"in some unique scenarios in which child objects share their parent's ID. Because\",\n \"to 64 bits in size (e.g. a uint64), they are always returned as\",\n \"as strings in the HTTP API to prevent integer overflows in some languages.\",\n \"languages. See Gateway ETF/JSON for more information regarding Gateway encoding. Read more here:\",\n \"-> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of 2015 or\",\n \"int: \\\"\\\"\\\"For every ID that is generated on that process, this number is\",\n \"(e.g. a uint64), they are always returned as strings in the HTTP API\",\n \"to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less\",\n \"return (self >> 12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For every\",\n \"should be less than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string:\",\n \"@property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second\",\n \"since Discord Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\" return self\",\n \"child objects share their parent's ID. Because Snowflake IDs are up to 64\",\n \"2022 - Present # Full MIT License can be found in `LICENSE.txt` at\",\n \"super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or\",\n \"16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12)\",\n \"from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for\",\n \"= 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self <\",\n \"9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def\",\n \"22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17)\",\n \"which child objects share their parent's ID. Because Snowflake IDs are up to\",\n \"MIT License can be found in `LICENSE.txt` at the project root. from __future__\",\n \"or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return\",\n \"\\\"\\\"\\\" return self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\"\",\n \"to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod\",\n \"MelisaDev 2022 - Present # Full MIT License can be found in `LICENSE.txt`\",\n \">> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >>\",\n \"descriptors (IDs). These IDs are guaranteed to be unique across all of Discord,\",\n \"ID that is generated on that process, this number is incremented\\\"\\\"\\\" return self\",\n \"- Present # Full MIT License can be found in `LICENSE.txt` at the\",\n \"class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs).\",\n \"returned as strings in the HTTP API to prevent integer overflows in some\",\n \"are always returned as strings in the HTTP API to prevent integer overflows\",\n \"\\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__()\",\n \"bits in size (e.g. a uint64), they are always returned as strings in\",\n \"value should be less than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls,\",\n \"def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str):\",\n \"API to prevent integer overflows in some languages. See Gateway ETF/JSON for more\",\n \"-> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16 @property def\",\n \"Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from\",\n \"objects share their parent's ID. Because Snowflake IDs are up to 64 bits\",\n \"\\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs\",\n \"Snowflake IDs are up to 64 bits in size (e.g. a uint64), they\",\n \"are guaranteed to be unique across all of Discord, except in some unique\",\n \"self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or equal to\",\n \"from a string. Parameters ---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\"\",\n \"@classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string:\",\n \"worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property def process_id(self) -> int:\",\n \"int = 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake\",\n \"snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\"\",\n \"more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int =\",\n \"process, this number is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) ->\",\n \"encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int =\",\n \"on that process, this number is incremented\\\"\\\"\\\" return self % 2048 @property def\",\n \"process ID\\\"\\\"\\\" return (self >> 12) % 16 @property def increment(self) -> int:\",\n \"@property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) %\",\n \"utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs are guaranteed\",\n \"of Discord, except in some unique scenarios in which child objects share their\",\n \"self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than or equal to 9223372036854775807.\\\"\",\n \"first second of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def\",\n \"generated on that process, this number is incremented\\\"\\\"\\\" return self % 2048 @property\",\n \"less than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) ->\",\n \"prevent integer overflows in some languages. See Gateway ETF/JSON for more information regarding\",\n \"int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of 2015 or 1420070400000.\",\n \"return self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return\",\n \"timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of 2015\",\n \"a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since\",\n \">> 17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return\",\n \"def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ----------\",\n \"process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16 @property\",\n \"annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors\",\n \"Present # Full MIT License can be found in `LICENSE.txt` at the project\",\n \"\\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property def process_id(self) ->\",\n \"(IDs). These IDs are guaranteed to be unique across all of Discord, except\",\n \"for uniquely identifiable descriptors (IDs). These IDs are guaranteed to be unique across\",\n \"return (self >> 17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process\",\n \"a uint64), they are always returned as strings in the HTTP API to\",\n \"incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) -> int: return self.timestamp +\",\n \"to prevent integer overflows in some languages. See Gateway ETF/JSON for more information\",\n \"in some languages. See Gateway ETF/JSON for more information regarding Gateway encoding. Read\",\n \"information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807\",\n \"new Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake as a\",\n \"def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16\",\n \"string. Parameters ---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string))\",\n \"their parent's ID. Because Snowflake IDs are up to 64 bits in size\",\n \"cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string.\",\n \"self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self\",\n \"IDs are guaranteed to be unique across all of Discord, except in some\",\n \"0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should\",\n \"\\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16 @property def increment(self) ->\",\n \"across all of Discord, except in some unique scenarios in which child objects\",\n \"share their parent's ID. Because Snowflake IDs are up to 64 bits in\",\n \"> self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than or equal to\",\n \"-> int: \\\"\\\"\\\"For every ID that is generated on that process, this number\",\n \"\\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake\",\n \"(self >> 17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\"\",\n \"some languages. See Gateway ETF/JSON for more information regarding Gateway encoding. Read more\",\n \"See Gateway ETF/JSON for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes\",\n \"scenarios in which child objects share their parent's ID. Because Snowflake IDs are\",\n \"Because Snowflake IDs are up to 64 bits in size (e.g. a uint64),\",\n \"every ID that is generated on that process, this number is incremented\\\"\\\"\\\" return\",\n \"equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be\",\n \"return self % 2048 @property def unix(self) -> int: return self.timestamp + 1420070400000\",\n \"uint64), they are always returned as strings in the HTTP API to prevent\",\n \"of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self) ->\",\n \"import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable\",\n \"HTTP API to prevent integer overflows in some languages. See Gateway ETF/JSON for\",\n \"17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self\",\n \"unique scenarios in which child objects share their parent's ID. Because Snowflake IDs\",\n \"overflows in some languages. See Gateway ETF/JSON for more information regarding Gateway encoding.\",\n \"Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int\",\n \"self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than or equal\",\n \"number is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) -> int: return\",\n \"@property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) %\",\n \"def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be\",\n \"ID\\\"\\\"\\\" return (self >> 17) % 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal\",\n \"Copyright MelisaDev 2022 - Present # Full MIT License can be found in\",\n \"These IDs are guaranteed to be unique across all of Discord, except in\",\n \"# Full MIT License can be found in `LICENSE.txt` at the project root.\",\n \") @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls,\",\n \"worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property\",\n \"than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake:\",\n \"(self >> 12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID\",\n \"at the project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes\",\n \"or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal\",\n \"this number is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) -> int:\",\n \"Full MIT License can be found in `LICENSE.txt` at the project root. from\",\n \"more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def\",\n \"can be found in `LICENSE.txt` at the project root. from __future__ import annotations\",\n \"9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE:\",\n \"greater than or equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake\",\n \"\\\"\\\"\\\"For every ID that is generated on that process, this number is incremented\\\"\\\"\\\"\",\n \"__init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater\",\n \"root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format\",\n \"str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new\",\n \"except in some unique scenarios in which child objects share their parent's ID.\",\n \"https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _):\",\n \"Discord Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\" return self >>\",\n \"second of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self)\",\n \"here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self,\",\n \"16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID that is generated on\",\n \"is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self) -> int: return self.timestamp\",\n \"\\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\"\",\n \"a new Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake as\",\n \"< self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or equal to 0.\\\")\",\n \"Discord, except in some unique scenarios in which child objects share their parent's\",\n \"__factory__(cls, string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize\",\n \"unique across all of Discord, except in some unique scenarios in which child\",\n \"ValueError( \\\"snowflake value should be less than or equal to 9223372036854775807.\\\" ) @classmethod\",\n \"string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self)\",\n \"size (e.g. a uint64), they are always returned as strings in the HTTP\",\n \"__future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely\",\n \"be less than or equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str)\",\n \"is generated on that process, this number is incremented\\\"\\\"\\\" return self % 2048\",\n \"string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ---------- string: :class:`str`\",\n \"in which child objects share their parent's ID. Because Snowflake IDs are up\",\n \"% 16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID that is generated\",\n \"1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self) -> int: \\\"\\\"\\\"Internal worker\",\n \"a string. Parameters ---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return\",\n \"ID. Because Snowflake IDs are up to 64 bits in size (e.g. a\",\n \"value should be greater than or equal to 0.\\\") if self > self._MAX_VALUE:\",\n \"def increment(self) -> int: \\\"\\\"\\\"For every ID that is generated on that process,\",\n \"if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or equal\",\n \"64 bits in size (e.g. a uint64), they are always returned as strings\",\n \"Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22\",\n \"@property def increment(self) -> int: \\\"\\\"\\\"For every ID that is generated on that\",\n \"in `LICENSE.txt` at the project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\"\",\n \"uniquely identifiable descriptors (IDs). These IDs are guaranteed to be unique across all\",\n \"guaranteed to be unique across all of Discord, except in some unique scenarios\",\n \"found in `LICENSE.txt` at the project root. from __future__ import annotations class Snowflake(int):\",\n \"IDs are up to 64 bits in size (e.g. a uint64), they are\",\n \"always returned as strings in the HTTP API to prevent integer overflows in\",\n \"Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs are\",\n \"as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds\",\n \"ETF/JSON for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE:\",\n \"-> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property def\",\n \"they are always returned as strings in the HTTP API to prevent integer\",\n \"int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16 @property def process_id(self)\",\n \"_MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise\",\n \"identifiable descriptors (IDs). These IDs are guaranteed to be unique across all of\",\n \"raise ValueError( \\\"snowflake value should be less than or equal to 9223372036854775807.\\\" )\",\n \"\\\"snowflake value should be less than or equal to 9223372036854775807.\\\" ) @classmethod def\",\n \"= 0 def __init__(self, _): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value\",\n \"str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ---------- string: :class:`str` The\",\n \"in size (e.g. a uint64), they are always returned as strings in the\",\n \"_): super().__init__() if self < self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than\",\n \"return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a\",\n \"# Copyright MelisaDev 2022 - Present # Full MIT License can be found\",\n \"@classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters\",\n \"to be unique across all of Discord, except in some unique scenarios in\",\n \"Snowflake from a string. Parameters ---------- string: :class:`str` The snowflake as a string.\",\n \"strings in the HTTP API to prevent integer overflows in some languages. See\",\n \"up to 64 bits in size (e.g. a uint64), they are always returned\",\n \"should be greater than or equal to 0.\\\") if self > self._MAX_VALUE: raise\",\n \"ValueError(\\\"snowflake value should be greater than or equal to 0.\\\") if self >\",\n \"return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the\",\n \"\\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch,\",\n \"that process, this number is incremented\\\"\\\"\\\" return self % 2048 @property def unix(self)\",\n \"Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake format for uniquely identifiable descriptors (IDs). These\",\n \"License can be found in `LICENSE.txt` at the project root. from __future__ import\",\n \"the HTTP API to prevent integer overflows in some languages. See Gateway ETF/JSON\",\n \"Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first\",\n \"`LICENSE.txt` at the project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord\",\n \":class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) ->\",\n \"or equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should\",\n \"int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if self\",\n \"int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >> 12) % 16 @property def increment(self)\",\n \"ID\\\"\\\"\\\" return (self >> 12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For\",\n \"in the HTTP API to prevent integer overflows in some languages. See Gateway\",\n \"integer overflows in some languages. See Gateway ETF/JSON for more information regarding Gateway\",\n \"% 16 @property def process_id(self) -> int: \\\"\\\"\\\"Internal process ID\\\"\\\"\\\" return (self >>\",\n \"string: str) -> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a\",\n \"Twitter's snowflake format for uniquely identifiable descriptors (IDs). These IDs are guaranteed to\",\n \"2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property def worker_id(self) -> int:\",\n \"some unique scenarios in which child objects share their parent's ID. Because Snowflake\",\n \"the first second of 2015 or 1420070400000. \\\"\\\"\\\" return self >> 22 @property\",\n \"be greater than or equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError(\",\n \"-> Snowflake: return cls.from_string(string) @classmethod def from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake\",\n \"all of Discord, except in some unique scenarios in which child objects share\",\n \"---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def\",\n \"be found in `LICENSE.txt` at the project root. from __future__ import annotations class\",\n \"snowflake format for uniquely identifiable descriptors (IDs). These IDs are guaranteed to be\",\n \"format for uniquely identifiable descriptors (IDs). These IDs are guaranteed to be unique\",\n \"Gateway ETF/JSON for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\"\",\n \"raise ValueError(\\\"snowflake value should be greater than or equal to 0.\\\") if self\",\n \"be unique across all of Discord, except in some unique scenarios in which\",\n \"from_string(cls, string: str): \\\"\\\"\\\"Initialize a new Snowflake from a string. Parameters ---------- string:\",\n \"regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE:\",\n \"self._MIN_VALUE: raise ValueError(\\\"snowflake value should be greater than or equal to 0.\\\") if\",\n \"def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord Epoch, the first second of\",\n \"0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than\",\n \"The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int:\",\n \"def worker_id(self) -> int: \\\"\\\"\\\"Internal worker ID\\\"\\\"\\\" return (self >> 17) % 16\",\n \"project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's snowflake\",\n \"than or equal to 0.\\\") if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value\",\n \"for more information regarding Gateway encoding. Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int\",\n \">> 12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID that\",\n \"Parameters ---------- string: :class:`str` The snowflake as a string. \\\"\\\"\\\" return Snowflake(int(string)) @property\",\n \"12) % 16 @property def increment(self) -> int: \\\"\\\"\\\"For every ID that is\",\n \"the project root. from __future__ import annotations class Snowflake(int): \\\"\\\"\\\" Discord utilizes Twitter's\",\n \"_MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0 def __init__(self, _): super().__init__() if\",\n \"string. \\\"\\\"\\\" return Snowflake(int(string)) @property def timestamp(self) -> int: \\\"\\\"\\\" Milliseconds since Discord\",\n \"Read more here: https://discord.com/developers/docs/reference#snowflakes \\\"\\\"\\\" _MAX_VALUE: int = 9223372036854775807 _MIN_VALUE: int = 0\",\n \"Milliseconds since Discord Epoch, the first second of 2015 or 1420070400000. \\\"\\\"\\\" return\",\n \"increment(self) -> int: \\\"\\\"\\\"For every ID that is generated on that process, this\",\n \"parent's ID. Because Snowflake IDs are up to 64 bits in size (e.g.\",\n \"equal to 9223372036854775807.\\\" ) @classmethod def __factory__(cls, string: str) -> Snowflake: return cls.from_string(string)\",\n \"that is generated on that process, this number is incremented\\\"\\\"\\\" return self %\",\n \"are up to 64 bits in size (e.g. a uint64), they are always\",\n \"if self > self._MAX_VALUE: raise ValueError( \\\"snowflake value should be less than or\"\n]","isConversational":false}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":7,"numItemsPerPage":100,"numTotalItems":12866649,"offset":700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3NDQwNjg5OCwic3ViIjoiL2RhdGFzZXRzL3RlcnJ5eXovc3RhcmNvZGVyZGF0YV9uZ3JhbV8xMyIsImV4cCI6MTc3NDQxMDQ5OCwiaXNzIjoiaHR0cHM6Ly9odWdnaW5nZmFjZS5jbyJ9.5sGb_BaF0TaEuOgvOKIs_Rh4znwc0sS9siFqaeffDkHiKyxQ03oHZiotvRL2hQNe60MGwCLskR7tpA1Eg9XOCQ","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":12866649,"numBytesParquet":149232926747}]},"discussionsStats":{"closed":0,"open":0,"total":0},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
ngram listlengths 0 67.8k |
|---|
[
"TypeError('callback must be a callable, got %s' % type(callback).__name__) if errback is not",
"be a callable, got %s' % type(errback).__name__) self.callback = callback self.errback = errback",
"escape_ajax from scrapy.http.common import obsolete_setter from scrapy.utils.curl import curl_to_request_kwargs cla... |
[
"= 2 class Game(object): class Rules(): def __init__(self, shoe_size=4, min_bet=1, max_bet=10): self.shoe_size =",
"0 while (bet!=self.bet and self.bet!=0) or not (rules.min_bet <= bet <= rules.max_bet) :",
"= shoe self.shoe.shuffle() self.state = [self.PlayerState(Dealer())] + [self.PlayerState(p) for p in pla... |
[
"0 y el 100. # Summing all the multiples of 7 from 0",
"7 == 0: total = total+i print(\"Sumatoria de los múltiplos de 7:\", total)",
"all the multiples of 7 from 0 to 100. total = 0 for",
"de 7 encontrados entre el 0 y el 100. # Summing all the",
"to 100. total = 0 for i in range(101): if i % 7",
"= 0 for... |
[
"# HomeAssistant Status Output # Publishes the provided sensor key and value pair",
"key and value pair to a HomeAssistant instance import logging import time from",
"serverIP = None serverPort = 8123 useHttps = False timeout = 2 backgroundTasksLock",
"False except self.requests.exceptions.ReadTimeout as e: l... |
[
"Add config for database # app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///db.sqlite3' # # stop tracking modifications",
"= 'sqlite:///db.sqlite3' # # stop tracking modifications on sqlalchemy config # app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] =",
"? app.config[\"TWITTER_API_CLIENT\"] = twitter # # Have t... |
[
"inst.project_lang_to_gloss(tagmap = './data/tagset_mappings/ctn.txt') # fix_ctn_gloss_line(inst, tag_method=MANUAL_POS) # inst.tag_trans_pos(tagger) # inst.heur_align() # Align trans/gloss",
"fix_ctn_gloss_line(to_tag, tag_method=INTENT_POS_CLASS) # Now, retrieve eval/gold. eval_tags = [v.value() for v in to_tag... |
[
"import cv2 picturecounter = 1 # 防止过多记录的标识 class Video(Resource): #如果方法为get 调用该方法 def get(self):",
"pointer picpath = r'/root/video/realtime/%s/%s.jpg' % (rpiname, picturecounter) image = cv2.imread(picpath) bs = cv2.imencode(\".jpg\",",
"username=\\'\" + username + \"\\'\" # 可能存在类型问题 # cursor.execute(sql) # ro... |
[
"for sqnorm. afixedf = np.copy(afixed) for k in range(0,len(order)): afixedf[:,k] = afixed[:,order[k]] return",
"ambiguity vector search via search-and-shrink zfixedff, sqnormff = ssearch( zhat, L, D, ncands",
"Qahat, Z ) Qzhat = np.matmul( Z.transpose(), Qzhat ) zhat = np.matmul(Z.transpose(),ahat) iZt",
"# ... |
[] |
[
"the final value return hexadecimal def decrypt(msg, key): # Defining hex to uni",
"temp = ord(msg[i]) ^ ord(key[iteration]) # zfill will pad a single letter hex",
"are used, repeat the key iteration = 0 # Returning the final value",
"2): # Decoding each individual bytes from hex hex_to_uni += bytes.fromhex(m... |
[
"import os import random def rename_files(path): file_list = os.listdir(path) print(file_list) for file_name in",
"numbers to beginning of filename. new_file_name = str(random.randint(1, 99)) + file_name print(\"Renaming \"",
"\" + file_name + \" to \" + new_file_name) os.rename(os.path.join(path, file_name), o... |
[
"bn.rankdata ranked = func(data, axis=axis) if pct: count = np.sum(~np.isnan(data), axis=axis, keepdims=True) ranked",
"dimensions are squeezed. Returns ------- squeezed : same type as caller This object,",
"return apply_ufunc( duck_array_ops.isnull, self, dask=\"allowed\", keep_attrs=keep_attrs, ) def notnull(... |
[
"number_of_notebooks = map(int, input().split()) if number_of_pens >= number_of_participants and number_of_notebooks >= number_of_participants: print('Yes')",
"number_of_participants, number_of_pens, number_of_notebooks = map(int, input().split()) if number_of_pens >= number_of_participants and number_of_notebook... |
[] |
[
"util.BufferedByteStream('this is a test') self.assertEqual(len(sp), 14) self.assertEqual(sp.read(1), b't') self.assertEqual(sp.getvalue(), b'this is a test')",
"meta = { 'exclude': ['foo'], 'readonly': ['bar'], 'dynamic': False, 'alias': 'spam.eggs', 'proxy_attrs': None,",
"x.write_char(0) x.write_char(-128) x... |
[
"print (Fore.GREEN + '[+] Result: DMARC Policy is set as quarantine! Domain emails",
"pip install -r requirements.txt (colorama) os = platform.platform() if os.find('Windows')!= (-1): init(convert=True) print(\"\"\"",
"init(convert=True) print(\"\"\" ███████╗░░░░░░██╗░░░██╗░█████╗░██╗░░░░░██╗░░░██╗░█████╗░█████... |
[
"from logger import getLogger LOGGER = getLogger('API_MODULE') define(\"port\", default=8000, help=\"run on the given",
"'data': answers, 'contextOut': [answers], 'source': 'how-about-natume' } self.finish( dumps( respose, ensure_ascii=False, indent=4, sort_keys=True,",
"[answers], 'source': 'how-about-natume' ... |
[
"0: self.state = chunkParserStates.COMPLETE else: self.state = chunkParserStates.WAITING_FOR_SIZE self.chunk = b'' self.size =",
"on Network monitoring, controls & Application development, testing, debugging. :copyright: (c) 2013-present by",
"b'' # Extract following chunk data size line, raw = find_http_line(r... |
[
"ty.List[Pool], request: 'objects.InstancePCIRequest', numa_cells: ty.Optional[ty.List['objects.InstanceNUMACell']] = None, ) -> bool: \"\"\"Apply an individual",
"Unless required by applicable law or agreed to in writing, software # distributed",
"fulfil LEGACY but not SOCKET. If we have SOCKET, # process it h... |
[
"renames all the files of the folder Desktop to 'new_name' and count starts",
"the files will be renamed like : 1. new_name33.exe 2. new_name34.exe and so",
"and count starts from 33 to further (we can also provide 1 to",
"further (we can also provide 1 to start it from 1) and extension",
"given '.exe' henc... |
[
"def readlinkabs(l): \"\"\" Return an absolute path for the destination of a symlink",
"path for the destination of a symlink \"\"\" if not (os.path.islink(l)): return None",
"\"\"\" if not (os.path.islink(l)): return None p = os.readlink(l) if os.path.isabs(p): return p",
"readlinkabs(l): \"\"\" Return an ab... |
[
"= Picamera2() video_config = picam2.video_configuration(main={\"size\": (1280, 720), \"format\": \"RGB888\"}, lores={\"size\": lsize, \"format\": \"YUV420\"})",
"= (320, 240) picam2 = Picamera2() video_config = picam2.video_configuration(main={\"size\": (1280, 720), \"format\": \"RGB888\"},",
"= int(time.time(... |
[
"pattern_info # create the list representation self._pattern_list = [] for pattern_name in self._pattern_dict.keys():",
"top N patterns. \"\"\" self._pattern_dict = pattern_info # create the list representation self._pattern_list",
"in the repository. \"\"\" all_patterns = self.get_all() num_to_return = int(len... |
[] |
[
"range(self.ui.servoCountSpin.value())]) @asyncio.coroutine def handle_connect_clicked(self): val = self.ui.typeCombo.currentText().lower() try: self.controller = yield From( selector.select_servo(",
"= QtGui.QDoubleSpinBox() doublespin.setRange(-180, 180) doublespin.setDecimals(1) save = QtGui.QPushButton() save... |
[
"in the JUICE protocol. \"\"\" def __init__(self, __body='', **kw): self.update(kw) if __body: assert",
"aCallable, result)) # return result def checkKnownErrors(error): key = error.trap(*command.allErrors) code = command.allErrors[key]",
"proto).addErrback( checkKnownErrors) return doit def _wrap(self, aCallab... |
[
"def _http_request( self, payload: Union[SimulatorInterface, SimulatorEventRequest], config: ServiceConfig, ) -> SimulatorEvent: res =",
"retryable response error code.\" \" Retrying request.\".format(res.status_code) ) self._retry_attempts += 1 return self._http_request(payload,",
"bail on error if res.status_... |
[
"x_shift = random.randint(-enlarge_img_shrink[0]//16, enlarge_img_shrink[0]//16) y_shift = random.randint(-enlarge_img_shrink[1]//16, enlarge_img_shrink[1]//16) x_min += x_shift x_max +=",
"= 3 im_lr -= im_lr % (fiducial_points-1) - (2*edge_padding) # im_lr % (fiducial_points-1)",
"* perspective_shreshold, y_mi... |
[
"analysis.deserialize_tweets(sys.stdin) # run analysis analysis.analyze_tweets(tweet_generator, results) # run baseline analysis, if requests if",
"= args.do_audience_analysis) # manage input sources, file opening, and deserialization if args.input_file_name is",
"analysis') args = parser.parse_args() # get the... |
[
"(incoming_msg[:7] == 'TPC - e ' and len(incoming_msg)>8): utils.portalLogin(os.environ.get('TPC_EMAIL'),os.environ.get('TPC_PWD')) companyName = incoming_msg.split(' ')[2]",
"Please enter one of the following option 👇 \\n *TPC*. TPC portal willingness",
"\\n 📞 : 9537701631 \\n ✉ : <EMAIL> \\n\\n Please enter... |
[] |
[
"y_pred = None ####################################################################### # TODO: Implement this function; it should be VERY",
"of training samples. - grads: Dictionary mapping parameter names to gradients of those",
"<= c < C. \"\"\" y_pred = None ##################################################... |
[
"Getting a setting object. \"\"\" name = 'TEST_SETTING' data = 'Setting data' setting",
"\"\"\" name = 'TEST_SETTING' data = 'Setting data' setting = self._create_setting(name, data=data) try:",
"data=data) try: setting2 = Setting.objects.get(pk=setting.pk) except Setting.DoesNotExist: self.fail('Setting with I... |
[
"from homeassistant.const import CONF_LATITUDE, CONF_LONGITUDE, CONF_NAME, TEMP_CELSIUS from homeassistant.core import HomeAssistant from homeassistant.helpers",
"from .sensor import ( ATTRIBUTION, CONF_STATION_ID, ZamgData, closest_station, zamg_stations, ) _LOGGER = logging.getLogger(__name__)",
"@property de... |
[
"a core model. nlu: Check sections for finetuning an nlu model. Returns: `True`",
"target_path) fingerprint_comparison.core = core_merge_failed if not fingerprint_comparison.should_retrain_nlg() and core_merge_failed: # If moving the",
"FINGERPRINT_NLU_LABELS_KEY: nlu_data.label_fingerprint(), FINGERPRINT_STORI... |
[
"from backtesting import Backtest, Strategy from backtesting.lib import crossover, cross from backtesting.test import",
"Moving Average def init(self): # compute momentum \"\"\" Simple Moving Average Calc\"\"\" self.sma",
"Created on Fri Jul 16 11:20:01 2021 @author: q GOAL : develop a",
"from backtesting.lib... |
[
"de números com Generator gen = getsizeof(x * 10 for x in range(1000))",
"print(res) # [True, True, True, True, True, False] # Generator - mais efeciente",
"# Quanto maior a string mais espaço ocupa. print(getsizeof('Paulo')) print(getsizeof('Quanto maior a string",
"x in range(1000)]) # Gerando uma lista de ... |
[
"número: \")) numero3 = int(input(\"Digite o terceiro número: \")) if (numero1 < numero2",
"numero3 = int(input(\"Digite o terceiro número: \")) if (numero1 < numero2 and numero2",
"número: \")) numero2 = int(input(\"Digite o segundo número: \")) numero3 = int(input(\"Digite o",
"o terceiro número: \")) if (n... |
[
"for i in range(2): tina.forward(lengte) tina.right(60) tina.forward(lengte) tina.right(120) def sneeuwvlok(lengte, num): for i",
"turtle.Turtle() tina.shape(\"turtle\") tina.speed(10) def parallellogram(lengte): for i in range(2): tina.forward(lengte) tina.right(60) tina.forward(lengte) tina.right(120)",
"tina... |
[
"IMPLIED, INCLUDING BUT NOT LIMITED TO THE # WARRANTIES OF MERCHANTABILITY, FITNESS FOR",
"including without limitation # the rights to use, copy, modify, merge, publish, #",
"title, } self.site.render_template('listing.tmpl', out_name, context) flag = True template_deps = self.site.template_system.template_dep... |
[
"None, index_document: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, __props__=None): \"\"\" Enables the",
"# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK",
"__props__.__dict__[\"error404_document\"] = error404_document __props__.__dict__[\... |
[
"WITHOUT WARRANTIES OR CONDITIONS # OF ANY KIND, either express or implied. See",
"for the AWS doc team's sample catalog. Do not remove.] # snippet-sourcedescription:[s3-python-example-get-bucket-policy.py demonstrates",
"permissions and limitations under the License. import boto3 # Create an S3 client",
"= b... |
[
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"15234324, \"stringField\": \"hey\", \"boolField\": True, \"floatField\": 1234.0, \"doubleField\": -1234.0, \"bytesField\": b\"12312adf\", \"nullField\": None,",
"1234.0, \"doubleField\": -1234.0, \"bytesField\": b\"12312adf\", ... |
[
"erode_value_blobs(array, steps=1, values_to_ignore=tuple(), new_value=0): unique_values = list(np.unique(array)) all_entries_to_keep = np.zeros(shape=array.shape, dtype=np.bool) for unique_value",
"unique_value if unique_value in values_to_ignore: all_entries_to_keep = np.logical_or(entries_of_this_value, all_en... |
[
"test_unit_decomposition(self): lu = u.mag(u.Jy) assert lu.decompose() == u.mag(u.Jy.decompose()) assert lu.decompose().physical_unit.bases == [u.kg, u.s]",
"assert q1.value == 2.5 assert q1.unit == unit pv = 100. * unit.physical_unit",
"some power is only possible when the physical unit is dimensionless, and t... |
[
"get_raw(url, json.dumps(data), \"application/json\", headers, status=status) def time_api_get_work_types_call(return_value): method_name = 'djconnectwise.api.TimeAPIClient.get_work_types' return create_mock_call(method_name, return_value)",
"side_effect=raised) def _project_api_tickets_call(page=1, page_size=25,... |
[
"1, ) cv2.putText( trajectory, \"Green\", (270, 120), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 1,",
"path using either five point estimation or eight point estimation :param image_path: Path",
"400, true_z + 100), 1, list((0, 0, 255)), 4) trajectory = cv2.circle(trajectory, (draw_x",
"\"Actual Position:\",... |
[
"train_images = np.load(os.path.join(train_dir, 'train_images.npy')) train_labels = np.load(os.path.join(train_dir, 'train_labels.npy')) print('train_images', train_images.shape, 'train_labels', train_labels.shape) dataset_train",
"test_images = np.load(os.path.join(val_dir, 'validation_images.npy')) test_labels ... |
[
"= X_test[test_idx, :] y_test = Y_test[test_idx] distances = dataset.find_distances(x_test, X_train) flipped_idx = Y_train",
"= (np.copy(Y_test) + 1) / 2 Y_pred = model.sess.run(model.preds, feed_dict=model.all_test_feed_dict) Y_pred_correct = np.zeros([len(Y_test)])",
"= 0.001 initial_learning_rate = 0.001 kee... |
[
"in count: cmd4g[i]=count[i]+cmd4g[i] del count cmd4gx={} for i in cmd4g: if cmd4g[i]>0: cmd4gx[i]=cmd4g[i]",
"in traing data # ../../data/train is the path of original train data ##########################################################",
"specify # the order of samples in traing data # ../../data/train is th... |
[] |
[
"from pygments.token import String, Number, Name, Keyword, Operator, Text, Comment __all__ = ['RtsLexer']",
"(r\"'(\\\\\\\\|\\\\[^\\\\]|[^'\\\\])*'\", String), (r'\"', String, 'escapable-string'), (r'(0x[0-9a-fA-F]+|\\d+)', Number), (r'\\d+\\.\\d+', Number.Float), (r'\\$[a-zA-Z](\\w|_)*', Name.Variable), (r'(if|e... |
[
"is not index assert idx_copy.equals(index) new_copy = index.copy(deep=True, name=\"banana\") assert new_copy.name == \"banana\"",
"assert new_copy.name == \"banana\" def test_unique(self, index): # don't test a MultiIndex here",
"level in 0, index.name, None: result = index.unique(level=level) tm.assert_index_... |
[
"-39.04876174, 45.31837288, 55.65557816, 50.47052688, 0.36025589, 58.92377491, 29.70094194, -15.13534937, ], ) else: np.testing.assert_almost_equal( x_out[:,",
"TestUtils.bioptim_folder() + \"/examples/getting_started/models/2segments_4dof_2contacts.bioMod\" ) nlp.ns = 5 nlp.cx = cx nlp.x_bounds = np.zeros((nlp.m... |
[
"return [event_type for event_type, event in self.items if event.get_event_action() in event_actions.WRITE_ACTIONS] def user_view_events(self):",
"ManagerInterface from event_manager import event_actions class EventManager(ManagerInterface): def _get_state_data(self, event): # pylint:disable=arguments-differ retu... |
[
"helpers import * def test_f_login_andy(): url = \"http://central.orbits.local/rpc.AuthService/Login\" raw_payload = {\"name\": \"andy\",\"password\": \"<PASSWORD>\"}",
"body contents, e.g. status code. assert response.status_code == 200 # print full request",
"raw_payload = {\"name\": \"andy\",\"password\": \"... |
[
"= u_r - c_r s[1,:] = np.max(s_index,axis=0) # Compute middle state q_hat =",
"for m in xrange(num_eqn): for mw in xrange(num_waves): amdq[m,:] += (s[mw,:] < 0.0)",
"= a1 wave[1,0,:] = a1 * (ubar - cbar) s[0,:] = ubar -",
"shallow_exact_1D(q_l,q_r,aux_l,aux_r,problem_data): r\"\"\" Exact shallow water Riemann... |
[
"in constant: if not isHashable(value): return False return True elif constant is Ellipsis:",
"return None elif constant_type is slice: return None else: assert False, constant_type def",
"and # integrates with CPython, but also works on its own. # #",
"in ( str, unicode, complex, int, long, bool, float, None... |
[
"support is taken from the environment. return get_environ_proxies(url) def _get_verify_value(self, verify): # This",
"import URLLib3Session from botocore.utils import is_valid_endpoint_url, get_environ_proxies from botocore.hooks import first_non_none_response from botocore.history",
"DEFAULT_TIMEOUT = 60 MAX_... |
[
"''' import scipy.stats as stats import numpy as np import pandas as pd",
"as a child and those who know did not. This function should return",
"versus those who were vaccinated but did not contract chicken pox. Return results",
"variables. If we wanted to know if vaccines work, we might look at",
"a dictio... |
[
"next 13 bars: \" + str(min_forecast) + \"-\" + str(max_forecast) ) print(\"sell\") plt.savefig(sell_dir",
"print('buy') # plt.savefig(buy_dir + str(uuid.uuid4())+'.jpg', bbox_inches='tight') # plt.show() open.clear() close.clear() volume.clear() high.clear() low.clear()",
"c_start = start + 12 for x in range(f... |
[
"= TornadoDic.NOMINAL_ATTRIBUTE attribute_value_range = attribute_value_range.strip('{}').replace(\"'\", \"\") attribute_value_range = attribute_value_range.split(',') attributes_min_max.append([None, None]) attribute.set_type(attribute_type) attribute.set_possible_values(attribute_value_range)",
"line[2] attribu... |
[
"from keras import backend as K from evolution import Evolution from genome_handler import",
"#mlflow.tensorflow.autolog() #mlflow.keras.autolog() print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU'))) K.set_image_data_format(\"channels_last\") #(x_train, y_train), (x_test, y_test) =",
"to... |
[
"== 2: next_dir = (self.pos[0] - agent.pos[0], self.pos[1] - agent.pos[1]) if next_dir[0] *",
"obtener la dirección hacia donde debe moverse el automóvil, regresa la dirección #",
"guarda en el automóvil y se cambia su dirección. if self.is_valid(next_cell): self.next_cell =",
"col < width - 2: agent.directio... |
[
"# Originally I implemented this using regular open() and read(), so it #",
"== '.js': display(Javascript(contents)) elif ext == '.css': display(HTML('<style>' + contents + '</style>')) else:",
"file to a jupyter notebook.\"\"\" import os from pkg_resources import resource_string from IPython.display",
"if th... |
[
"ProgramWidget(QWidget): def __init__(self, hub_client : HubClient, hub_monitor : HubMonitor, *args, **kwargs): super().__init__(*args, **kwargs)",
"print((\"Storage free %s%s of total %s%s\" % (storage['free'], storage['unit'], storage['total'], storage['unit']))) class ConsoleWidget(QTextEdit):",
"**kwargs) s... |
[
"import Task # Create your views here. class CustomLoginView(LoginView): template_name='base/login.html' fiels='__all__' redirect_auhenticated_user =",
"TaskUpdate(UpdateView): model = Task fields = '__all__' success_url = reverse_lazy('tasks') class TaskDelete(DeleteView): model",
"from django.views.generic.de... |
[
"assert isinstance(result_, tuple) assert len(result_) == 2 result, none = result_ assert none",
"assert np.all(result <= (y + TOL)) def test_Dropout_x_is_op(): x = np.array([3, 4]).astype(np.float32) input_op",
"* from dnnv.nn.operations import * TOL = 1e-6 def test_Dropout_consts(): x = np.array([3,",
"len(... |
[
"# sets a unique port per agent 2. worker.py will begin listening on",
"SMARTS calls `act()` rpc with observation as input and receives the actions as",
"mod in modules: try: importlib.import_module(mod) except ImportError: if mod == \"ray\": print( \"You",
"TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR... |
[
"> 0: # Was stated that payments needed to happen in increments of",
"Generate: ------------------- Lowest Payment: 310 Test Case 2: balance = 4773 annualInterestRate =",
"4773 annualInterestRate = 0.2 Result Your Code Should Generate: ------------------- Lowest Payment: 440",
"(Monthly interest rate x Monthl... |
[
"def frequencySort(self, s): \"\"\" :type s: str :rtype: str \"\"\" return ''.join(c *",
"c, v in count: res += c * v return res ### Test",
"\"\"\" :type s: str :rtype: str \"\"\" freq = collections.defaultdict(int) for c in",
"freq = collections.defaultdict(int) for c in s: freq[c] += 1 counts = [\"\"]",
"... |
[
"0; } #collapseTrigger{ color:#fff; display: block; text-decoration: none; } * { margin: 0;",
"class=\"%s\" name=\"%s-target-tie\" data-col=\"1\" value=\"1\"/> </label> </td> </tr>\"\"\" % (example.key, example.key) html += \"\"\"",
"generate_2choice_instructions(): return \"\"\" <p>Consider the following excha... |
[
"works everywhere in the documentation. .. exref:: :title: an example of use Just",
"is the documentation for this class. **example with a sphinx directives** It works",
"(myexampleb). \"\"\" class myclass: \"\"\" This is the documentation for this class. **example",
"in the documentation. .. exref:: :title: ... |
[
"# preample import numpy as np from utilites import Pauli_operators, simulate, CheckNoise ################################################",
"drift Hamiltonian dynamic_operators = [0.5*Pauli_operators[1]] # control Hamiltonian noise_operators = [0.5*Pauli_operators[3]] # noise",
"as np from utilites import Paul... |
[] |
[
"\"\"\" from flask import Blueprint from flask_restful import Api from .resources.user import UserAuth,",
"module. \"\"\" from flask import Blueprint from flask_restful import Api from .resources.user import",
"flask_restful import Api from .resources.user import UserAuth, UserItem, UserList, UserFollow # Creat... |
[
"print(next(cycle1)) print(next(cycle1)) print(next(cycle1)) # use count to create a simple counter count1 =",
"print(next(cycle1)) # use count to create a simple counter count1 = itertools.count(100, 3)",
"as long as the # condition of the function is true and then",
"40, 30] # accumulate creates an iterator... |
[
"str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de {self.nome}.\") def __imprimeTelefone(self): print(f\"Você",
"= str(endereco) self.__telefone = str(telefone) def imprimeNome(self): print(f\"Você pode chamar essa pessoa de",
"chamar essa pessoa de {self.nome}.\") def __imprimeTelef... |
[] |
[
"parse different inputs includeing system specifications, flag arguments, execution parameters, user parameters and",
"to define the break error level. maxerrors : int or bool, optional The",
"`table`. directory : str, optional The argument is used to set logging file",
"html=html, table=table, status=status,... |
[
"its affiliates. All rights reserved. # This software is dual-licensed to you under",
"the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License",
"(UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at",
"# coding: utf-8 ... |
[
"start_urls = [ 'https://millardayo.com', ] def parse(self, response, **kwargs): # extracting data -",
"{ 'image_url': post.find('img').get('src'), 'link': post.find('a').get('href'), 'title': post.find('a').get('title'), 'excerpt': post.find('p').get_text(), 'source': 'millardayo', } except",
"'image_url': pos... |
[
"from apache_beam.runners.portability import expansion_service from apache_beam.transforms import ptransform from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder from",
"KIND, either express or implied. # See the License for the specific language",
"apache_beam.runners.portability import exp... |
[
"from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI))",
"sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session = scoped_session(Sess... |
[
"capability of a GPU (e.g. \"6.1\") \"\"\" major, _ = parse_compute_version(compute_version) if major",
"was specified or GPU detected.\" \"Try specifying it by adding '-arch=sm_xx' to your",
"distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY",
"proc.returncode != 0: msg = code msg ... |
[
"specific calculation from history\"\"\" return Calculations.history[num] @staticmethod def add_calculation(calculation): \"\"\" get a generic",
"\"\"\"create a subtraction object to history using factory method create\"\"\" Calculations.add_calculation(Subtraction.create(values)) return True",
"history of calc... |
[
"valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor 5 não",
"valores.reverse() print(f'O valor 5 foi digitado e está na {valores.index(5)} posição.') else: print('Valor",
"ou -1 para Finalizar: ')) if valor < 0: print('\\nFinalizando...') break else: valores.append(valor)",
"orden... |
[
"model_name='transaction', old_name='authorityStart', new_name='authority_start', ), migrations.RenameField( model_name='transaction', old_name='authorityVerify', new_name='authority_verify', ), migrations.RenameField( model_name='transaction', old_name='failureReason', new_name='failure_reason',",
"model_name='t... |
[
"InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from .residual import IdentityResidualBlock from .dense import DenseModule",
"from .bn import ABN, InPlaceABN, InPlaceABNWrapper, InPlaceABNSync, InPlaceABNSyncWrapper from .misc import GlobalAvgPool2d from",
".bn import ABN, InPlaceABN, InPlaceABNWrapper... |
[
"distributed on an # \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY",
"2], [3, 4, None]]) expected = pa.chunked_array([[True, True, True, True, None]]) for result",
"table.filter(mask) assert result.equals(expected_drop) result = table.filter(mask, null_selection_behavior=\"emit_null\") assert result.... |
[
"python 3 compatibility library import six from client.api_client import ApiClient class LogApi(object): \"\"\"NOTE:",
"api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def logs_get(self,",
"is set if ('name' not in params or params['name'] is None): raise ValueErro... |
[
"system = self._system self._solver_info.append_subsolver() system._transfer('nonlinear', 'fwd') with Recording('NonlinearBlockJac', 0, self) as rec: #",
"for subsys in system._subsystems_myproc: subsys._solve_nonlinear() else: for subsys in system._subsystems_myproc: subsys._solve_nonlinear() system._check_child... |
[
"as multiple arguments. else: b = predicate(r) if not sess.run(b): filtered = True",
"KIND, either express or implied. # See the License for the specific language",
"not sess.run(b): filtered = True break if not filtered: result = sess.run(get_next) self.assertAllEqual(r,",
"Unless required by applicable law ... |
[
"= data[i] c = chr(b) if c == \"\\n\": count_lines += 1 elif",
"emulator including the header. This is intended for saved .egv files which include",
"intended for saved .egv files which include a default header. \"\"\" if self.header_skipped:",
"\"\" self.number_consumer = self.speedcode_b2_consumer def speed... |
[
":type Offset: int :param Limit: 分页单位，最大支持50。 :type Limit: int :param ProfileName: 根据邮件配置名称查询，定期发送的邮件配置名称遵循：\"scheduler_\"+{instanceId}的规则。 :type",
"def __init__(self): r\"\"\" :param SecAuditGroupId: 安全审计组Id。 :type SecAuditGroupId: str :param AsyncRequestId: 异步任务Id。 :type",
"def __init__(self): r\"\"\" :param ... |
[
"a response object from the given parameters. :param body: Buffer/string containing the response",
"resource access. Certain methods MUST be overridden in a subclass, thus this class",
"# Catch missing parameters in request return self._make_json_error_response(\"invalid_request\") except StandardError as exc: ... |
[
"extractor model resorted_img_folder='resorted_data',#the folder for clustered images cluster_algo='kmeans',#cluster algorithm base_img_folder='data', maxK=150,#the max k",
"resize_shape=(224,224) # (w,h) a tuple for resizing the input images to the same",
"the resorted_img function to label the images under di... |
[
"# # Licensed under the Apache License, Version 2.0 (the \"License\"); # you",
"writing, software # distributed under the License is distributed on an \"AS IS\"",
"permissions and # limitations under the License. import torch from gradsflow.models import Model",
"KIND, either express or implied. # See the Lic... |
[
"parity=\"N\", stopbits=1, bytesize=8, timeout=1): ExecutorBase.__init__(self, checkok=False) self.device = device self.baudrate = baudrate self.type",
"baudrate self.type = type self.parity = parity self.stopbits = stopbits self.bytesize = bytesize",
"method to communicate with any serial device. Please note t... |
[
"in some unique scenarios in which child objects share their parent's ID. Because",
"to 64 bits in size (e.g. a uint64), they are always returned as",
"as strings in the HTTP API to prevent integer overflows in some languages.",
"languages. See Gateway ETF/JSON for more information regarding Gateway encoding.... |