xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

73d8167357d14a3d02dd9864ab0d793dcad8ad86

97,747

py

Python

src/alsc/ar-bert-s/models/catt_gcn.py

mainuliitkgp/AR-BERT

d6d5e8542a3a1c76edac49cec9e99ebda6395725

[ "MIT" ]

4

2022-03-06T17:41:57.000Z

2022-03-22T08:42:58.000Z

src/alsc/ar-bert-s/models/catt_gcn.py

mainuliitkgp/AR-BERT

d6d5e8542a3a1c76edac49cec9e99ebda6395725

[ "MIT" ]

null

src/alsc/ar-bert-s/models/catt_gcn.py

mainuliitkgp/AR-BERT

d6d5e8542a3a1c76edac49cec9e99ebda6395725

[ "MIT" ]

1

2022-03-19T14:04:42.000Z

# -*- coding: utf-8 -*- #SDGCN import tensorflow as tf import numpy as np from models.nn_layer import dynamic_rnn, softmax_layer, bi_dynamic_rnn, reduce_mean_with_len,WXA_Relu,WXbA_Relu from models.att_layer import dot_produce_attention_layer, bilinear_attention_layer, mlp_attention_layer, Mlp_attention_layer class CAtt_GCN_L1(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) # GCN2_out = tf.concat([GCN1_out,GCN2_out],1) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN1_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L2(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) # GCN2_out = tf.concat([GCN1_out,GCN2_out],1) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN2_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L3(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) with tf.name_scope('GCN_layer3'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN3_cross = WXbA_Relu(GCN2_out,self.relate_cross,W_cross,b_cross) GCN3_self = WXbA_Relu(GCN2_out,self.relate_self,W_self,b_self) GCN3_out = GCN3_cross+GCN3_self #(?,600,13) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN3_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L4(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) with tf.name_scope('GCN_layer3'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN3_cross = WXbA_Relu(GCN2_out,self.relate_cross,W_cross,b_cross) GCN3_self = WXbA_Relu(GCN2_out,self.relate_self,W_self,b_self) GCN3_out = GCN3_cross+GCN3_self #(?,600,13) with tf.name_scope('GCN_layer4'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN4_cross = WXbA_Relu(GCN3_out,self.relate_cross,W_cross,b_cross) GCN4_self = WXbA_Relu(GCN3_out,self.relate_self,W_self,b_self) GCN4_out = GCN4_cross+GCN4_self #(?,600,13) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN4_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L5(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) with tf.name_scope('GCN_layer3'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN3_cross = WXbA_Relu(GCN2_out,self.relate_cross,W_cross,b_cross) GCN3_self = WXbA_Relu(GCN2_out,self.relate_self,W_self,b_self) GCN3_out = GCN3_cross+GCN3_self #(?,600,13) with tf.name_scope('GCN_layer4'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN4_cross = WXbA_Relu(GCN3_out,self.relate_cross,W_cross,b_cross) GCN4_self = WXbA_Relu(GCN3_out,self.relate_self,W_self,b_self) GCN4_out = GCN4_cross+GCN4_self #(?,600,13) with tf.name_scope('GCN_layer5'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN5_cross = WXbA_Relu(GCN4_out,self.relate_cross,W_cross,b_cross) GCN5_self = WXbA_Relu(GCN4_out,self.relate_self,W_self,b_self) GCN5_out = GCN5_cross+GCN5_self #(?,600,13) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN5_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L6(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) with tf.name_scope('GCN_layer3'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN3_cross = WXbA_Relu(GCN2_out,self.relate_cross,W_cross,b_cross) GCN3_self = WXbA_Relu(GCN2_out,self.relate_self,W_self,b_self) GCN3_out = GCN3_cross+GCN3_self #(?,600,13) with tf.name_scope('GCN_layer4'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN4_cross = WXbA_Relu(GCN3_out,self.relate_cross,W_cross,b_cross) GCN4_self = WXbA_Relu(GCN3_out,self.relate_self,W_self,b_self) GCN4_out = GCN4_cross+GCN4_self #(?,600,13) with tf.name_scope('GCN_layer5'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN5_cross = WXbA_Relu(GCN4_out,self.relate_cross,W_cross,b_cross) GCN5_self = WXbA_Relu(GCN4_out,self.relate_self,W_self,b_self) GCN5_out = GCN5_cross+GCN5_self #(?,600,13) with tf.name_scope('GCN_layer6'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN6_cross = WXbA_Relu(GCN5_out,self.relate_cross,W_cross,b_cross) GCN6_self = WXbA_Relu(GCN5_out,self.relate_self,W_self,b_self) GCN6_out = GCN6_cross+GCN6_self #(?,600,13) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN6_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L7(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) with tf.name_scope('GCN_layer3'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN3_cross = WXbA_Relu(GCN2_out,self.relate_cross,W_cross,b_cross) GCN3_self = WXbA_Relu(GCN2_out,self.relate_self,W_self,b_self) GCN3_out = GCN3_cross+GCN3_self #(?,600,13) with tf.name_scope('GCN_layer4'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN4_cross = WXbA_Relu(GCN3_out,self.relate_cross,W_cross,b_cross) GCN4_self = WXbA_Relu(GCN3_out,self.relate_self,W_self,b_self) GCN4_out = GCN4_cross+GCN4_self #(?,600,13) with tf.name_scope('GCN_layer5'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN5_cross = WXbA_Relu(GCN4_out,self.relate_cross,W_cross,b_cross) GCN5_self = WXbA_Relu(GCN4_out,self.relate_self,W_self,b_self) GCN5_out = GCN5_cross+GCN5_self #(?,600,13) with tf.name_scope('GCN_layer6'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN6_cross = WXbA_Relu(GCN5_out,self.relate_cross,W_cross,b_cross) GCN6_self = WXbA_Relu(GCN5_out,self.relate_self,W_self,b_self) GCN6_out = GCN6_cross+GCN6_self #(?,600,13) with tf.name_scope('GCN_layer7'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN7_cross = WXbA_Relu(GCN6_out,self.relate_cross,W_cross,b_cross) GCN7_self = WXbA_Relu(GCN6_out,self.relate_self,W_self,b_self) GCN7_out = GCN7_cross+GCN7_self #(?,600,13) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN7_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!") class CAtt_GCN_L8(object): def __init__(self, sequence_length, target_sequence_length,targets_num_max, num_classes, word_embedding, l2_reg_lambda=0.0, num_hidden=100): #tf.set_random_seed(-1) # PLACEHOLDERS rand_base = 0.01 self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x") # X - The Data self.input_target = tf.placeholder(tf.int32, [None, target_sequence_length], name="input_x") # The target self.input_targets_all = tf.placeholder(tf.int32, [None,targets_num_max, target_sequence_length], name="input_x") #All the targets self.sen_len = tf.placeholder(tf.int32, None, name='sen_len')#lens of sentence self.target_len = tf.placeholder(tf.int32, None, name='target_len')#lens of target with tf.name_scope('targets_all_len'): self.targets_all_len_a = tf.placeholder(tf.int32, [None,targets_num_max],name="targets_all_len") batch_size = tf.shape(self.input_x)[0] self.targets_all_len = [] for i in range(targets_num_max): targets_i_len = tf.slice(self.targets_all_len_a, [0, i], [batch_size, 1]) self.targets_all_len.append(tf.squeeze(targets_i_len)) #lens of every target self.targets_num = tf.placeholder(tf.int32, None, name='targets_num') #The number os targets self.relate_cross = tf.placeholder(tf.float32, [None,targets_num_max, targets_num_max], name='relate_cross') #the relation between targets self.relate_self = tf.placeholder(tf.float32, [None, targets_num_max, targets_num_max], name='relate_self') self.target_which = tf.placeholder(tf.float32, [None, targets_num_max, ], name='which_position') self.target_position = tf.placeholder(tf.float32, [None, sequence_length], name='target_position') with tf.name_scope('targets_all_position'): self.targets_all_position_a = tf.placeholder(tf.float32, [None,targets_num_max,sequence_length],name="targets_all_position") self.targets_all_position = [] for i in range(targets_num_max): targets_i_len = self.targets_all_position_a[:, i,:] self.targets_all_position.append(tf.squeeze(targets_i_len)) self.input_y = tf.placeholder(tf.float32, [None, num_classes], name="input_y") # Y - The Lables self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") # Dropout l2_loss = tf.constant(0.0) # Keeping track of l2 regularization loss # 1. EMBEDDING LAYER ################################################################ with tf.name_scope("embedding"): self.word_embedding = tf.constant(word_embedding, name='word_embedding') # Embedding for the context with tf.name_scope("embedded_sen"): self.embedded_sen = tf.nn.embedding_lookup(self.word_embedding, self.input_x) # self.embedded_expanded = tf.expand_dims(self.embedded, -1) self.embedded_sen = tf.cast(self.embedded_sen, tf.float32) #(?,78,300) self.embedded_sen = tf.nn.dropout(self.embedded_sen, keep_prob=self.dropout_keep_prob) embedding_size = word_embedding.shape[1] print('embedding_size {}'.format(embedding_size)) num_hidden = embedding_size # Embedding for the target with tf.name_scope("embedding_target"): self.embedded_target = tf.nn.embedding_lookup(self.word_embedding, self.input_target) self.embedded_target = tf.cast(self.embedded_target, tf.float32) #(?,21,300) self.embedded_target = tf.nn.dropout(self.embedded_target, keep_prob=self.dropout_keep_prob) # Embedding for all targets with tf.name_scope("embedding_targets"): self.embedded_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): #get a target self.input_targets_i = self.input_targets_all[:,i,:] # (?,13,23)-->(?,23) i表示第i个target self.embedded_target_i = tf.nn.embedding_lookup(self.word_embedding, self.input_targets_i) self.embedded_target_i = tf.cast(self.embedded_target_i, tf.float32) self.embedded_target_i = tf.nn.dropout(self.embedded_target_i, keep_prob=self.dropout_keep_prob) self.embedded_targets_all[i] = self.embedded_target_i #13*(?,21,300) #2. LSTM LAYER ###################################################################### # Bi-LSTM for the context with tf.name_scope("Bi-LSTM_sentence"): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_Hiddens_sen = bi_dynamic_rnn(cell, self.embedded_sen, num_hidden, self.sen_len, sequence_length, 'bi-lstm-sentence' ,'all', dropout = True, dropout_prob= self.dropout_keep_prob) #(?,78,600) pool_sen = reduce_mean_with_len(self.LSTM_Hiddens_sen, self.sen_len) # Bi-LSTM for the targets with tf.variable_scope("Bi-LSTM_targets") as scope: self.LSTM_targets_all = list(range(targets_num_max)) poor_targets_all = list(range(targets_num_max)) for i in range(targets_num_max): cell = tf.nn.rnn_cell.LSTMCell self.LSTM_targets_all[i] = bi_dynamic_rnn(cell, self.embedded_targets_all[i], num_hidden, self.targets_all_len[i], target_sequence_length, 'bi-lstm-targets', 'all', dropout=True, dropout_prob=self.dropout_keep_prob) # (?,21,600) poor_targets_all[i] = reduce_mean_with_len(self.LSTM_targets_all[i], self.targets_all_len[i]) scope.reuse_variables() # 3. Attention LAYER ###################################################################### # all targets to sentence attention with tf.variable_scope("Attention-targets_all2sentence") as scope: self.outputs_ss = list(range(targets_num_max)) #all the target attention for the sentence self.outputs_ts = list(range(targets_num_max)) for i in range(targets_num_max): #target2sentence attention att_s_i = bilinear_attention_layer(self.LSTM_targets_all[i], pool_sen, self.targets_all_len[i], 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'tar') self.outputs_ss[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_targets_all[i]),axis=1) #13*(?,600) #position target_position_i = tf.expand_dims(self.targets_all_position[i], 2) # (?,78,1) LSTM_Hiddens_sen_p_i = tf.multiply(self.LSTM_Hiddens_sen, target_position_i) att_s_i = bilinear_attention_layer(LSTM_Hiddens_sen_p_i, self.outputs_ss[i], self.sen_len, 2 * num_hidden ,l2_reg_lambda, random_base = rand_base, layer_id = 'sen') self.outputs_ts[i] = tf.squeeze(tf.matmul(att_s_i, self.LSTM_Hiddens_sen), axis=1) scope.reuse_variables() with tf.name_scope("targets_gather"): self.targets_concat = tf.concat([tf.expand_dims (i ,axis = 2) for i in self.outputs_ts], axis=2) #(?,600,13) # 4. GCN LAYER ###################################################################### with tf.name_scope('GCN_layer1'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN1_cross = WXbA_Relu(self.targets_concat,self.relate_cross,W_cross,b_cross) GCN1_self = WXbA_Relu(self.targets_concat,self.relate_self,W_self,b_self) GCN1_out = GCN1_cross+GCN1_self #(?,600,13) with tf.name_scope('GCN_layer2'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN2_cross = WXbA_Relu(GCN1_out,self.relate_cross,W_cross,b_cross) GCN2_self = WXbA_Relu(GCN1_out,self.relate_self,W_self,b_self) GCN2_out = GCN2_cross+GCN2_self #(?,600,13) with tf.name_scope('GCN_layer3'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN3_cross = WXbA_Relu(GCN2_out,self.relate_cross,W_cross,b_cross) GCN3_self = WXbA_Relu(GCN2_out,self.relate_self,W_self,b_self) GCN3_out = GCN3_cross+GCN3_self #(?,600,13) with tf.name_scope('GCN_layer4'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN4_cross = WXbA_Relu(GCN3_out,self.relate_cross,W_cross,b_cross) GCN4_self = WXbA_Relu(GCN3_out,self.relate_self,W_self,b_self) GCN4_out = GCN4_cross+GCN4_self #(?,600,13) with tf.name_scope('GCN_layer5'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN5_cross = WXbA_Relu(GCN4_out,self.relate_cross,W_cross,b_cross) GCN5_self = WXbA_Relu(GCN4_out,self.relate_self,W_self,b_self) GCN5_out = GCN5_cross+GCN5_self #(?,600,13) with tf.name_scope('GCN_layer6'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN6_cross = WXbA_Relu(GCN5_out,self.relate_cross,W_cross,b_cross) GCN6_self = WXbA_Relu(GCN5_out,self.relate_self,W_self,b_self) GCN6_out = GCN6_cross+GCN6_self #(?,600,13) with tf.name_scope('GCN_layer7'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN7_cross = WXbA_Relu(GCN6_out,self.relate_cross,W_cross,b_cross) GCN7_self = WXbA_Relu(GCN6_out,self.relate_self,W_self,b_self) GCN7_out = GCN7_cross+GCN7_self #(?,600,13) with tf.name_scope('GCN_layer8'): W_cross = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_cross') b_cross = tf.Variable(tf.random.uniform([2 * num_hidden],-rand_base,rand_base),name = 'b_cross') W_self = tf.Variable(tf.random.uniform([2 * num_hidden, 2 * num_hidden],-rand_base,rand_base),name = 'W_self') b_self = tf.Variable(tf.random.uniform([2 * num_hidden], -rand_base, rand_base), name='b_self') GCN8_cross = WXbA_Relu(GCN7_out,self.relate_cross,W_cross,b_cross) GCN8_self = WXbA_Relu(GCN7_out,self.relate_self,W_self,b_self) GCN8_out = GCN8_cross+GCN8_self #(?,600,13) # 和 self.target_which 矩阵相乘，求出对应的矩阵 target_which = tf.expand_dims(self.target_which,1) # (?,1,13) self.GCN2_out = tf.multiply(GCN8_out, target_which) #(?,600,13)*(?,1,13) = (?,600,13) self.targets_representation = tf.reduce_sum(self.GCN2_out, 2) # (?,600) with tf.name_scope("output"): W = tf.Variable(tf.random_normal([2 * num_hidden, num_classes])) b = tf.Variable(tf.random_normal([num_classes])) self.scores = tf.nn.xw_plus_b(self.targets_representation, W,b, name="scores") l2_loss += tf.nn.l2_loss(W) l2_loss += tf.nn.l2_loss(b) self.predictions = tf.argmax(self.scores, 1, name="predictions") self.true_y = tf.argmax(self.input_y, 1, name="true_y") self.softmax = tf.nn.softmax(self.scores, name="softmax") with tf.name_scope("loss"): self.losses = tf.nn.softmax_cross_entropy_with_logits(logits=self.scores,labels=self.input_y) self.loss = tf.reduce_mean(self.losses, name="loss") + l2_reg_lambda * l2_loss with tf.name_scope("accuracy"): self.correct_pred = tf.equal(self.predictions,self.true_y) self.accuracy = tf.reduce_mean(tf.cast(self.correct_pred, "float"),name="accuracy") print ("LOADED Att-GCN!")

70.575451

147

0.631273

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0.043464

0.041792

0.050151

0.994811

0.993975

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0.992251

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0.227485

97,747

1,384

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70.626445

0.735866

0.070734

0

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0.002719

0

1

0.007273

false

0

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null

0

1

0

1

0

null

0

7

fb6d0db0802b81d5047a427be95d3544ac94f25d

19,430

py

Python

08/VMT/CodeWriter.py

aadityarautela/nand2tetris

64768087ae5f6903beeb17a01492d68d7b2354f6

[ "MIT" ]

null

08/VMT/CodeWriter.py

aadityarautela/nand2tetris

64768087ae5f6903beeb17a01492d68d7b2354f6

[ "MIT" ]

null

08/VMT/CodeWriter.py

aadityarautela/nand2tetris

64768087ae5f6903beeb17a01492d68d7b2354f6

[ "MIT" ]

null

import Const import Parser import os class CodeWriter(object): def __init__(self, outfile): self.outfile = open(outfile, 'w') self.vmfile = '' self.labelnum = 0 self.EQCNT = 0 self.LTCNT = 0 self.GTCNT = 0 def setFileName(self, filename): self.vmfile, ext = os.path.split(filename) def close(self): self.outfile.close() def writeInit(self, isdir): self.outfile.write("// Init\n") self.outfile.write("@256\n") self.outfile.write("D=A\n") self.outfile.write("@SP\n") self.outfile.write("M=D\n") if isdir: self.writeCall("Sys.init", 0) def writeArithmetic(self, command): cmd_list = command.split() cmd_type = cmd_list[0] if cmd_type == "add": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("M=M+D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif cmd_type == "sub": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("M=M-D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif cmd_type == "neg": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("M=-M\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif cmd_type == "and": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("M=M&D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif cmd_type == "or": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("M=M|D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif cmd_type == "not": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("M=!M\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif cmd_type == "eq": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M-D\n") self.outfile.write("M=-1\n") self.outfile.write("@EQ_LABEL_" + str(self.EQCNT) + "\n") self.outfile.write("D;JEQ\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=0\n") self.outfile.write("(EQ_LABEL_" + str(self.EQCNT) + ")\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.EQCNT += 1 elif cmd_type == "gt": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M-D\n") self.outfile.write("M=-1\n") self.outfile.write("@GT_LABEL_" + str(self.GTCNT) + "\n") self.outfile.write("D;JGT\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=0\n") self.outfile.write("(GT_LABEL_" + str(self.GTCNT) + ")\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.GTCNT += 1 elif cmd_type == "lt": self.outfile.write("// "+command+"\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M-D\n") self.outfile.write("M=-1\n") self.outfile.write("@LT_LABEL_" + str(self.LTCNT) + "\n") self.outfile.write("D;JLT\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=0\n") self.outfile.write("(LT_LABEL_" + str(self.LTCNT) + ")\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.LTCNT += 1 def writePushPop(self, commandtype, segment, index, staticName=None): if commandtype == Const.C_PUSH: self.outfile.write("// push " + segment + " " + str(index) + "\n") if segment == "argument": self.outfile.write("@ARG\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("A=A+D\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif segment == "local": self.outfile.write("@LCL\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("A=A+D\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif segment == "static": self.outfile.write( "@" + staticName + "\n" + "D=M\n" + "@SP\n" + "A=M\n" + "M=D\n" + "@SP\n" + "M=M+1\n" ) elif segment == "constant": self.outfile.write("@" + str(index) + "\n") self.outfile.write("D=A\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif segment == "this": self.outfile.write("@THIS\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("A=A+D\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif segment == "that": self.outfile.write("@THAT\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("A=A+D\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif segment == "pointer": if index == 0: self.outfile.write("@THIS\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") else: self.outfile.write("@THAT\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") elif segment == "temp": tmpindex = index+5 self.outfile.write("@" + str(tmpindex) + "\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("D=A+1\n") self.outfile.write("@SP\n") self.outfile.write("M=D\n") else: self.outfile.write("// pop " + segment + " " + str(index) + "\n") if segment == "argument": self.outfile.write("@ARG\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("D=D+A\n") self.outfile.write("@R13\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("AM=M-1\n") self.outfile.write("D=M\n") self.outfile.write("@R13\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") elif segment == "local": self.outfile.write("@" + str(index) + "\n") self.outfile.write("D=A\n") self.outfile.write("@LCL\n") self.outfile.write("D=D+M\n") self.outfile.write("@R13\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@R13\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") elif segment == "static": self.outfile.write( "@SP\n" + "M=M-1\n" + "@SP\n" + "A=M\n" + "D=M\n" + "@" + staticName + "\n" + "M=D\n" ) elif segment == "this": self.outfile.write("@THIS\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("D=D+A\n") self.outfile.write("@R13\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("AM=M-1\n") self.outfile.write("D=M\n") self.outfile.write("@R13\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") elif segment == "that": self.outfile.write("@THAT\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(index) + "\n") self.outfile.write("D=D+A\n") self.outfile.write("@R13\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("AM=M-1\n") self.outfile.write("D=M\n") self.outfile.write("@R13\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") elif segment == "pointer": if index == 0: self.outfile.write("@THIS\n") self.outfile.write("D=A\n") self.outfile.write("@R13\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("AM=M-1\n") self.outfile.write("D=M\n") self.outfile.write("@R13\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") else: self.outfile.write("@THAT\n") self.outfile.write("D=A\n") self.outfile.write("@R13\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("AM=M-1\n") self.outfile.write("D=M\n") self.outfile.write("@R13\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") elif segment == "temp": tmpindex = index + 5 self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@" + str(tmpindex) + "\n") self.outfile.write("M=D\n") def newLabel(self): self.labelnum += 1 return "LABEL_" + str(self.labelnum) def writeLabel(self, label): self.outfile.write("// label " + label + "\n") self.outfile.write("(" + label + ")\n") def writeGoto(self, label): self.outfile.write("// goto " + label + "\n") self.outfile.write("@" + label + "\n") self.outfile.write("0;JMP\n") def writeIf(self,label): self.outfile.write("// if-goto " + label + "\n") self.outfile.write("@SP\n") self.outfile.write("M=M-1\n") self.outfile.write("A=M\n") self.outfile.write("D=M\n") self.outfile.write("@" + label + "\n") self.outfile.write("D;JNE\n") def writeCall(self,functionName,numArgs): self.outfile.write("// call " + functionName + " " + str(numArgs) + "\n") return_addr = self.newLabel() self.outfile.write("@" + str(return_addr) + "\n" + "D=A\n@SP\nA=M\nM=D\n@SP\nM=M+1\n") self.outfile.write("@LCL\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.outfile.write("@ARG\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.outfile.write("@THIS\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.outfile.write("@THAT\n") self.outfile.write("D=M\n") self.outfile.write("@SP\n") self.outfile.write("A=M\n") self.outfile.write("M=D\n") self.outfile.write("@SP\n") self.outfile.write("M=M+1\n") self.outfile.write( "@SP\n" + "D=M\n" + "@5\n" + "D=D-A\n" + "@" + str(numArgs) + "\n" + "D=D-A\n" + "@ARG\n" + "M=D\n" + "@SP\n" + "D=M\n" + "@LCL\n" + "M=D\n" + "@" + str(functionName) + "\n" + "0;JMP\n" + "(" + str(return_addr) + ")\n" ) def writeReturn(self): self.outfile.write("// return\n") self.outfile.write( "@LCL\n" + "D=M\n" + "@R11\n" + "M=D\n" + "@5\n" + "A=D-A\n" + "D=M\n" + "@R12\n" + "M=D\n" ) self.outfile.write( "@ARG\n" + "D=M\n" + "@0\n" + "D=D+A\n" + "@R13\n" + "M=D\n" + "@SP\n" + "AM=M-1\n" + "D=M\n" + "@R13\n" + "A=M\n" + "M=D\n" ) self.outfile.write( "@ARG\n" + "D=M\n" + "@SP\n" + "M=D+1\n" ) self.outfile.write( "@R11\n" + "D=M-1\n" + "AM=D\n" + "D=M\n" + "@THAT\n" + "M=D\n" + "@R11\n" + "D=M-1\n" + "AM=D\n" + "D=M\n" + "@THIS\n" + "M=D\n" + "@R11\n" + "D=M-1\n" + "AM=D\n" + "D=M\n" + "@ARG\n" + "M=D\n" + "@R11\n" + "D=M-1\n" + "AM=D\n" + "D=M\n" + "@LCL\n" + "M=D\n" ) self.outfile.write( "@R12\n" + "A=M\n" + "0;JMP\n" ) def writeFunction(self, functionName, numLocals): self.outfile.write("// function " + functionName + " " + str(numLocals) + "\n") self.outfile.write("(" + functionName + ")\n") for i in range(numLocals): self.writePushPop(Const.C_PUSH, "constant", 0)

37.293666

94

0.411889

2,337

19,430

3.409927

0.045357

0.440331

0.634459

0.597315

0.853307

0.83875

0.826453

0.811394

0.796963

0

0.010927

0.406536

19,430

521

95

37.293666

0.680167

0

0.78481

0

0.00211

0.123411

0.001647

0

1

0.027426

false

0

0.006329

0

0.037975

0

null

1

0

1

0

null

0

10

83854ba523f785bc1eb2b8d6f6079406eec273ca

29

py

Python

Chapter 04/ch41l.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

Chapter 04/ch41l.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

Chapter 04/ch41l.py

bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE

f6a4194684515495d00aa38347a725dd08f39a0c

[ "MIT" ]

null

print(15| 56*4+3-20) #207

9.666667

22

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2.285714

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0.478261

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py

Python

docs/context_processors.py

sreekanth1990/djangoproject.com

69ab8573aadcc79e9da610ddad7b4e0c69a550d3

[ "BSD-3-Clause" ]

1,440

2015-01-05T13:06:12.000Z

2022-03-30T23:09:24.000Z

docs/context_processors.py

sreekanth1990/djangoproject.com

69ab8573aadcc79e9da610ddad7b4e0c69a550d3

[ "BSD-3-Clause" ]

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2015-01-01T19:42:33.000Z

2022-03-29T08:36:29.000Z

docs/context_processors.py

sreekanth1990/djangoproject.com

69ab8573aadcc79e9da610ddad7b4e0c69a550d3

[ "BSD-3-Clause" ]

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2015-01-01T03:17:20.000Z

2022-03-23T09:15:26.000Z

from docs.models import DocumentRelease def docs_version(request): return {'DOCS_VERSION': DocumentRelease.objects.current_version()}

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7

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Python

core/code.py

phofegger/kara

e65019f0ed46320601b6ca2efa9d4eb6e7ccd6dc

[ "MIT" ]

null

core/code.py

phofegger/kara

e65019f0ed46320601b6ca2efa9d4eb6e7ccd6dc

[ "MIT" ]

null

core/code.py

phofegger/kara

e65019f0ed46320601b6ca2efa9d4eb6e7ccd6dc

[ "MIT" ]

null

sor_2d_hom = ''' # line 13 "sor_poisson_2d_hom.py" double tmp, diff, err=1.0, sum, dx2 = double(_dx2); int t=0, i, j, k; for (t=0; t<int(nmax); t++) { err = 0.0; sum = 0.0; i=0, j=0, k=0; // left front bottom corner neumann boundary conditions with 1st order approximation tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j+1,k) + I(i,j,k)*dx2)/(sxx + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=0, k=0; // left bottom edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*(u(i,j+1,k) + u(i,j-1,k)) + I(i,j,k)*dx2)/(sxx + 2*syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, j=ny-1, k=0; // left back bottom corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j-1,k) + I(i,j,k)*dx2)/(sxx + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; j=0, k=0; // front bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j+1,k) + I(i,j,k)*dx2)/(2*sxx + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } k=0; // bottom face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*(u(i,j+1,k) + u(i,j-1,k)) + I(i,j,k)*dx2)/(2*sxx + 2*syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } j=ny-1, k=0; // back bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j-1,k) + I(i,j,k)*dx2)/(2*sxx + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=0, k=0; // bottom front right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*u(i,j+1,k) + sxx*u(i-1,j,k) + I(i,j,k)*dx2)/(syy + sxx); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=nx-1, k=0; // bottom right edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*(u(i,j+1,k) + u(i,j-1,k)) + sxx*u(i-1,j,k) + I(i,j,k)*dx2)/(2*syy + sxx); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=ny-1, k=0; // bottom back right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i-1,j,k) + syy*u(i,j-1,k) + I(i,j,k)*dx2)/(sxx + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; if (fabs(sum) != 0.) { err = sqrt(err/sum); if (err<double(tol)) break; } } if (err>double(tol)) return_val=double(err); else return_val = double(t); ''' sor_2d_hom_xy = ''' # line 13 "sor_poisson_2d_hom_xy.py" double tmp, diff, err=1.0, sum, dx2 = double(_dx2); int t=0, i, j, k; for (t=0; t<int(nmax); t++) { err = 0.0; sum = 0.0; i=0, j=0, k=0; // left front bottom corner neumann boundary conditions with 1st order approximation tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*u(i+1,j,k) +syy*u(i,j+1,k) +0.5*sxy*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.5*sxy*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) +I(i,j,k)*dx2)/( +sxx + sxy +syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=0, k=0; // left bottom edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*u(i+1,j,k) +syy*u(i,j+1,k) +syy*u(i,j-1,k) +0.25*sxy*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.5*sxy*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) -0.5*sxy*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +sxx +syy +syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, j=ny-1, k=0; // left back bottom corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*u(i+1,j,k) +syy*u(i,j-1,k) +0.5*sxy*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.5*sxy*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +sxx - sxy +syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; j=0, k=0; // front bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*u(i+1,j,k) +syy*u(i,j+1,k) +sxx*u(i-1,j,k) +0.5*sxy*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.25*sxy*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.5*sxy*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( 2*sxx +syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } k=0; // bottom face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*(u(i+1,j,k) + u(i-1,j,k)) +syy*(u(i,j+1,k) + u(i,j-1,k)) +0.5*sxy*(u(i+1,j+1,k) + u(i-1,j-1,k) -u(i+1,j-1,k) - u(i-1,j+1,k)) +I(i,j,k)*dx2)/( 2*sxx + 2*syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } j=ny-1, k=0; // back bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*u(i+1,j,k) +sxx*u(i-1,j,k) +syy*u(i,j-1,k) +0.5*sxy*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) +0.5*sxy*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.25*sxy*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( 2*sxx + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=0, k=0; // bottom front right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+syy*u(i,j+1,k) +sxx*u(i-1,j,k) -0.5*sxy*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.5*sxy*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( syy - sxy + sxx); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=nx-1, k=0; // bottom right edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+syy*u(i,j+1,k) +sxx*u(i-1,j,k) +syy*u(i,j-1,k) -0.5*sxy*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.25*sxy*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.5*sxy*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( 2*syy + sxx); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=ny-1, k=0; // bottom back right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+sxx*u(i-1,j,k) +syy*u(i,j-1,k) +0.5*sxy*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.5*sxy*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( sxx + sxy + syy); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; if (fabs(sum) != 0.) { err = sqrt(err/sum); if (err<double(tol)) break; } } if (err>double(tol)) return_val=double(err); else return_val = double(t); ''' sor_2d_inh_xy = ''' # line 13 "sor_poisson_2d_inh_xy.py" double tmp, diff, err=1.0, sum, dx2 = double(_dx2); int t=0, i, j, k; for (t=0; t<int(nmax); t++) { err = 0.0; sum = 0.0; i=0, j=0, k=0; // left front bottom corner neumann boundary conditions with 1st order approximation tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k))*u(i,j+1,k) +0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k)) + 0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, k=0; // left bottom edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k))*u(i,j+1,k) +0.5*(syy(i,j,k)+syy(i+1,j,k))*u(i,j-1,k) +0.125*(sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) -0.25*(sxy(i,j,k)+sxy(i+1,j,k))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k)) + 0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k)) +0.5*(syy(i,j,k)+syy(i+1,j,k)) - 0.25*(sxy(i,j,k)+sxy(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=0, j=ny-1, k=0; // left back bottom corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.5*(syy(i,j,k)+syy(i+1,j,k))*u(i,j-1,k) +0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.25*(sxy(i,j,k)+sxy(i+1,j,k))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k)) - 0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.5*(syy(i,j,k)+syy(i+1,j,k)) - 0.25*(sxy(i,j,k)+sxy(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } j=0, k=0; // front bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k))*u(i,j+1,k) +0.5*(sxx(i,j+1,k)+sxx(i,j,k))*u(i-1,j,k) +0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.25*(sxy(i,j+1,k)+sxy(i,j,k))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k)) +0.5*(sxx(i,j+1,k)+sxx(i,j,k)) - 0.25*(sxy(i,j+1,k)+sxy(i,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } k=0; // bottom face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k))*u(i,j+1,k) +0.5*(sxx(i,j+1,k)+sxx(i,j,k))*u(i-1,j,k) +0.5*(syy(i,j,k)+syy(i+1,j,k))*u(i,j-1,k) +0.125*(sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k)) +0.5*(sxx(i,j+1,k)+sxx(i,j,k)) +0.5*(syy(i,j,k)+syy(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1, k=0; // back bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.5*(sxx(i,j+1,k)+sxx(i,j,k))*u(i-1,j,k) +0.5*(syy(i,j,k)+syy(i+1,j,k))*u(i,j-1,k) +0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) +0.25*(sxy(i,j+1,k)+sxy(i,j,k))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.25*(sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.5*(sxx(i,j+1,k)+sxx(i,j,k)) - 0.25*(sxy(i,j+1,k)+sxy(i,j,k)) +0.5*(syy(i,j,k)+syy(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=0, k=0; // bottom front right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(syy(i,j+1,k)+syy(i+1,j+1,k))*u(i,j+1,k) +0.5*(sxx(i,j+1,k)+sxx(i,j,k))*u(i-1,j,k) -0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.25*(sxy(i,j+1,k)+sxy(i,j,k))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k)) - 0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k)) +0.5*(sxx(i,j+1,k)+sxx(i,j,k)) - 0.25*(sxy(i,j+1,k)+sxy(i,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, k=0; // bottom right edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(syy(i,j+1,k)+syy(i+1,j+1,k))*u(i,j+1,k) +0.5*(sxx(i,j+1,k)+sxx(i,j,k))*u(i-1,j,k) +0.5*(syy(i,j,k)+syy(i+1,j,k))*u(i,j-1,k) -0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.25*(sxy(i,j,k)+sxy(i+1,j,k))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.5*(syy(i,j+1,k)+syy(i+1,j+1,k)) - 0.25*(sxy(i,j+1,k)+sxy(i+1,j+1,k)) +0.5*(sxx(i,j+1,k)+sxx(i,j,k)) +0.5*(syy(i,j,k)+syy(i+1,j,k)) + 0.25*(sxy(i,j,k)+sxy(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=ny-1, k=0; // bottom back right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.5*(sxx(i,j+1,k)+sxx(i,j,k))*u(i-1,j,k) +0.5*(syy(i,j,k)+syy(i+1,j,k))*u(i,j-1,k) +0.25*(sxy(i,j+1,k)+sxy(i,j,k))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.25*(sxy(i,j,k)+sxy(i+1,j,k))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.5*(sxx(i,j+1,k)+sxx(i,j,k)) + 0.25*(sxy(i,j+1,k)+sxy(i,j,k)) +0.5*(syy(i,j,k)+syy(i+1,j,k)) + 0.25*(sxy(i,j,k)+sxy(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } if (fabs(sum) != 0.) { err = sqrt(err/sum); if (err<double(tol)) break; } } if (err>double(tol)) return_val=double(err); else return_val = double(t); ''' sor_3d_hom = ''' # line 13 "sor_poisson_3d_hom.py" double tmp, diff, err=1.0, sum, dx2 = double(_dx2); int t=0, i, j, k; for (t=0; t<int(nmax); t++) { err = 0.0; sum = 0.0; i=0, j=0, k=0; // left front bottom corner neumann boundary conditions with 1st order approximation tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j+1,k) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/(sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=0, k=0; // left bottom edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*(u(i,j+1,k) + u(i,j-1,k)) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/(sxx + 2*syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, j=ny-1, k=0; // left back bottom corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j-1,k) + szz*(u(i,j,k+1)) + I(i,j,k)*dx2)/( sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=0, j=0; // front left edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j+1,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( sxx + syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0; // left face for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*(u(i,j+1,k) + u(i,j-1,k)) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( sxx + 2*syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=0, j=ny-1; // left back edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j-1,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( sxx + syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, j=0, k=nz-1; // left front top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j+1,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=0, k=nz-1; // left top edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*(u(i,j+1,k) + u(i,j-1,k)) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( sxx + 2*syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, j=ny-1, k=nz-1; // left back top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i+1,j,k) + syy*u(i,j-1,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; j=0, k=0; // front bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j+1,k) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/( 2*sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } int j=0; // front face for (i=1; i<nx-1; i++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j+1,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( 2*sxx + syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } j=0,k=nz-1; // front top edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j+1,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( 2*sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } k=0; // bottom face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*(u(i,j+1,k) + u(i,j-1,k)) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/( 2*sxx + 2*syy +szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } j=ny-1, k=0; // back bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j-1,k) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/( 2*sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } // bulk for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*(u(i,j+1,k) + u(i,j-1,k)) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( 2*sxx + 2*syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } k=nz-1; // top face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*(u(i,j+1,k) + u(i,j-1,k)) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( 2*sxx + 2*syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } j=ny-1; // back face for (i=1; i<nx-1; i++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j-1,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( 2*sxx + syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } j=ny-1, k=nz-1; // back top edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*(u(i+1,j,k) + u(i-1,j,k)) + syy*u(i,j-1,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( 2*sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=0, k=0; // bottom front right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*u(i,j+1,k) + sxx*u(i-1,j,k) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/( syy + sxx + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=nx-1, k=0; // bottom right edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*(u(i,j+1,k) + u(i,j-1,k)) + sxx*u(i-1,j,k) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/( 2*syy + sxx + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=ny-1, k=0; // bottom back right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i-1,j,k) + syy*u(i,j-1,k) + szz*u(i,j,k+1) + I(i,j,k)*dx2)/( sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=nx-1, j=0; // front right edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*u(i,j+1,k) + sxx*u(i-1,j,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( syy + sxx + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=0, k=nz-1; // front right top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*u(i,j+1,k) + sxx*u(i-1,j,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( syy + sxx + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; i=nx-1; // right face for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*(u(i,j+1,k) + u(i,j-1,k)) + sxx*u(i-1,j,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( 2*syy + sxx + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=ny-1; // back right edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i-1,j,k) + syy*u(i,j-1,k) + szz*(u(i,j,k-1) + u(i,j,k+1)) + I(i,j,k)*dx2)/( sxx + syy + 2*szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, k=nz-1; // right top edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(syy*(u(i,j+1,k) + u(i,j-1,k)) + sxx*u(i-1,j,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( 2*syy + sxx + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=ny-1, k=nz-1; // top right back corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(sxx*u(i-1,j,k) + syy*u(i,j-1,k) + szz*u(i,j,k-1) + I(i,j,k)*dx2)/( sxx + syy + szz); diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; if (fabs(sum) != 0.) { err = sqrt(err/sum); if (err<double(tol)) break; } } if (err>double(tol)) return_val=double(err); else return_val = double(t); ''' sor_3d_inh = ''' # line 14 "sor_poisson_3d_inh.py" double tmp, diff, err=1.0, sum, dx2 = double(_dx2); int t=0, i, j, k; for (t=0; t<int(nmax); t++) { err = 0.0; sum = 0.0; // x=0, y=0, z=0 corner neumann boundary conditions with 1st order approximation tmp = u(0,0,0); u(0,0,0) = (1-w)*u(0,0,0) + w*(+0.25*(sxx(1,1,1)+sxx(1,0,1)+sxx(1,1,0)+sxx(1,0,0))*u(1,0,0) +0.25*(syy(0,1,0)+syy(1,1,0)+syy(0,1,1)+syy(1,1,1))*u(0,1,0) +0.25*(szz(0,1,1)+szz(1,1,1)+szz(0,0,1)+szz(1,0,1))*u(0,0,1) +I(0,0,0)*dx2)/( +0.25*(sxx(1,1,1)+sxx(1,0,1)+sxx(1,1,0)+sxx(1,0,0)) +0.25*(syy(0,1,0)+syy(1,1,0)+syy(0,1,1)+syy(1,1,1)) +0.25*(szz(0,1,1)+szz(1,1,1)+szz(0,0,1)+szz(1,0,1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } // x=0, z=0 edge for (j=1; j<ny-1; j++) { tmp = u(0,j,0); u(0,j,0) = (1-w)*u(0,j,0) + w*(+0.25*(sxx(1,j+1,1)+sxx(1,j,1)+sxx(1,j+1,0)+sxx(1,j,0))*u(1,j,0) +0.25*(syy(0,j+1,0)+syy(1,j+1,0)+syy(0,j+1,1)+syy(1,j+1,1))*u(0,j+1,0) +0.25*(syy(0,j,0)+syy(1,j,0)+syy(0,j,1)+syy(1,j,1))*u(0,j-1,0) +0.25*(szz(0,j+1,1)+szz(1,j+1,1)+szz(0,j,1)+szz(1,j,1))*u(0,j,1) +I(0,j,0)*dx2)/( +0.25*(sxx(1,j+1,1)+sxx(1,j,1)+sxx(1,j+1,0)+sxx(1,j,0)) +0.25*(syy(0,j+1,0)+syy(1,j+1,0)+syy(0,j+1,1)+syy(1,j+1,1)) +0.25*(syy(0,j,0)+syy(1,j,0)+syy(0,j,1)+syy(1,j,1)) +0.25*(szz(0,j+1,1)+szz(1,j+1,1)+szz(0,j,1)+szz(1,j,1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } // x=0, y=ny, z=0 corner tmp = u(0,ny-1,0); u(0,ny-1,0) = (1-w)*u(0,ny-1,0) + w*(+0.25*(sxx(1,ny,1)+sxx(1,ny-1,1)+sxx(1,ny,0)+sxx(1,ny-1,0))*u(1,ny-1,0) +0.25*(syy(0,ny-1,0)+syy(1,ny-1,0)+syy(0,ny-1,1)+syy(1,ny-1,1))*u(0,ny-2,0) +0.25*(szz(0,ny,1)+szz(1,ny,1)+szz(0,ny-1,1)+szz(1,ny-1,1))*u(0,ny-1,1) +I(0,ny-1,0)*dx2)/( +0.25*(sxx(1,ny,1)+sxx(1,ny-1,1)+sxx(1,ny,0)+sxx(1,ny-1,0)) +0.25*(syy(0,ny-1,0)+syy(1,ny-1,0)+syy(0,ny-1,1)+syy(1,ny-1,1)) +0.25*(szz(0,ny,1)+szz(1,ny,1)+szz(0,ny-1,1)+szz(1,ny-1,1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } // x=0, y=0 edge for (k=1; k<nz-1; k++) { tmp = u(0,0,k); u(0,0,k) = (1-w)*u(0,0,k) + w*(+0.25*(sxx(1,1,k+1)+sxx(1,0,k+1)+sxx(1,1,k)+sxx(1,0,k))*u(1,0,k) +0.25*(syy(0,1,k)+syy(1,1,k)+syy(0,1,k+1)+syy(1,1,k+1))*u(0,1,k) +0.25*(szz(0,1,k)+szz(1,1,k)+szz(0,0,k)+szz(1,0,k))*u(0,0,k-1) +0.25*(szz(0,1,k+1)+szz(1,1,k+1)+szz(0,0,k+1)+szz(1,0,k+1))*u(0,0,k+1) +I(0,0,k)*dx2)/( +0.25*(sxx(1,1,k+1)+sxx(1,0,k+1)+sxx(1,1,k)+sxx(1,0,k)) +0.25*(syy(0,1,k)+syy(1,1,k)+syy(0,1,k+1)+syy(1,1,k+1)) +0.25*(szz(0,1,k)+szz(1,1,k)+szz(0,0,k)+szz(1,0,k)) +0.25*(szz(0,1,k+1)+szz(1,1,k+1)+szz(0,0,k+1)+szz(1,0,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } // x=0 face for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(0,j,k); u(0,j,k) = (1-w)*u(0,j,k) + w*(+0.25*(sxx(1,j+1,k+1)+sxx(1,j,k+1)+sxx(1,j+1,k)+sxx(1,j,k))*u(1,j,k) +0.25*(syy(0,j+1,k)+syy(1,j+1,k)+syy(0,j+1,k+1)+syy(1,j+1,k+1))*u(0,j+1,k) +0.25*(syy(0,j,k)+syy(1,j,k)+syy(0,j,k+1)+syy(1,j,k+1))*u(0,j-1,k) +0.25*(szz(0,j+1,k)+szz(1,j+1,k)+szz(0,j,k)+szz(1,j,k))*u(0,j,k-1) +0.25*(szz(0,j+1,k+1)+szz(1,j+1,k+1)+szz(0,j,k+1)+szz(1,j,k+1))*u(0,j,k+1) +I(0,j,k)*dx2)/( +0.25*(sxx(1,j+1,k+1)+sxx(1,j,k+1)+sxx(1,j+1,k)+sxx(1,j,k)) +0.25*(syy(0,j+1,k)+syy(1,j+1,k)+syy(0,j+1,k+1)+syy(1,j+1,k+1)) +0.25*(syy(0,j,k)+syy(1,j,k)+syy(0,j,k+1)+syy(1,j,k+1)) +0.25*(szz(0,j+1,k)+szz(1,j+1,k)+szz(0,j,k)+szz(1,j,k)) +0.25*(szz(0,j+1,k+1)+szz(1,j+1,k+1)+szz(0,j,k+1)+szz(1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } // x=0, j=ny edge for (k=1; k<nz-1; k++) { tmp = u(0,ny-1,k); u(0,ny-1,k) = (1-w)*u(0,ny-1,k) + w*(+0.25*(sxx(1,ny-1,k+1)+sxx(1,ny-1,k+1)+sxx(1,ny,k)+sxx(1,ny-1,k))*u(1,ny-1,k) +0.25*(syy(0,ny-1,k)+syy(1,ny-1,k)+syy(0,ny-1,k+1)+syy(1,ny-1,k+1))*u(0,ny-2,k) +0.25*(szz(0,ny,k)+szz(1,ny,k)+szz(0,ny-1,k)+szz(1,ny-1,k))*u(0,ny-1,k-1) +0.25*(szz(0,ny,k+1)+szz(1,ny,k+1)+szz(0,ny-1,k+1)+szz(1,ny-1,k+1))*u(0,ny-1,k+1) +I(0,ny-1,k)*dx2)/( +0.25*(sxx(1,ny-1,k+1)+sxx(1,ny-1,k+1)+sxx(1,ny,k)+sxx(1,ny-1,k)) +0.25*(syy(0,ny-1,k)+syy(1,ny-1,k)+syy(0,ny-1,k+1)+syy(1,ny-1,k+1)) +0.25*(szz(0,ny,k)+szz(1,ny,k)+szz(0,ny-1,k)+szz(1,ny-1,k)) +0.25*(szz(0,ny,k+1)+szz(1,ny,k+1)+szz(0,ny-1,k+1)+szz(1,ny-1,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } // x=0, y=0, z=nz corner tmp = u(0,0,nz-1); u(0,0,nz-1) = (1-w)*u(0,0,nz-1) + w*(+0.25*(sxx(1,1,nz)+sxx(1,0,nz)+sxx(1,1,nz-1)+sxx(1,0,nz-1))*u(1,0,nz-1) +0.25*(syy(0,1,nz-1)+syy(1,1,nz-1)+syy(0,1,nz)+syy(1,1,nz))*u(0,1,nz-1) +0.25*(szz(0,1,nz-1)+szz(1,1,nz-1)+szz(0,0,nz-1)+szz(1,0,nz-1))*u(0,0,nz-2) +I(0,0,nz-1)*dx2)/( +0.25*(sxx(1,1,nz)+sxx(1,0,nz)+sxx(1,1,nz-1)+sxx(1,0,nz-1)) +0.25*(syy(0,1,nz-1)+syy(1,1,nz-1)+syy(0,1,nz)+syy(1,1,nz)) +0.25*(szz(0,1,nz-1)+szz(1,1,nz-1)+szz(0,0,nz-1)+szz(1,0,nz-1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } // x=0, z=nz edge for (j=1; j<ny-1; j++) { tmp = u(0,j,nz-1); u(0,j,nz-1) = (1-w)*u(0,j,nz-1) + w*(+0.25*(sxx(1,j+1,nz)+sxx(1,j,nz)+sxx(1,j+1,nz-1)+sxx(1,j,nz-1))*u(1,j,nz-1) +0.25*(syy(0,j+1,nz-1)+syy(1,j+1,nz-1)+syy(0,j+1,nz)+syy(1,j+1,nz))*u(0,j+1,nz-1) +0.25*(syy(0,j,nz-1)+syy(1,j,nz-1)+syy(0,j,nz)+syy(1,j,nz))*u(0,j-1,nz-1) +0.25*(szz(0,j+1,nz-1)+szz(1,j+1,nz-1)+szz(0,j,nz-1)+szz(1,j,nz-1))*u(0,j,nz-2) +I(0,j,nz-1)*dx2)/( +0.25*(sxx(1,j+1,nz)+sxx(1,j,nz)+sxx(1,j+1,nz-1)+sxx(1,j,nz-1)) +0.25*(syy(0,j+1,nz-1)+syy(1,j+1,nz-1)+syy(0,j+1,nz)+syy(1,j+1,nz)) +0.25*(syy(0,j,nz-1)+syy(1,j,nz-1)+syy(0,j,nz)+syy(1,j,nz)) +0.25*(szz(0,j+1,nz-1)+szz(1,j+1,nz-1)+szz(0,j,nz-1)+szz(1,j,nz-1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } // x=0, y=ny, z=nz corner tmp = u(0,ny-1,nz-1); u(0,ny-1,nz-1) = (1-w)*u(0,ny-1,nz-1) + w*(+0.25*(sxx(1,ny,nz)+sxx(1,ny-1,nz)+sxx(1,ny,nz-1)+sxx(1,ny-1,nz-1))*u(1,ny-1,nz-1) +0.25*(syy(0,ny-1,nz-1)+syy(1,ny-1,nz-1)+syy(0,ny-1,nz)+syy(1,ny,nz))*u(0,ny-2,nz-1) +0.25*(szz(0,ny,nz-1)+szz(1,ny,nz-1)+szz(0,ny-1,nz-1)+szz(1,ny-1,nz-1))*u(0,ny-1,nz-2) +I(0,ny-1,nz-1)*dx2)/( +0.25*(sxx(1,ny,nz)+sxx(1,ny-1,nz)+sxx(1,ny,nz-1)+sxx(1,ny-1,nz-1)) +0.25*(syy(0,ny-1,nz-1)+syy(1,ny-1,nz-1)+syy(0,ny-1,nz)+syy(1,ny,nz)) +0.25*(szz(0,ny,nz-1)+szz(1,ny,nz-1)+szz(0,ny-1,nz-1)+szz(1,ny-1,nz-1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } // j=0, z=0 edge for (i=1; i<nx-1; i++) { tmp = u(i,0,0); u(i,0,0) = (1-w)*u(i,0,0) + w*(+0.25*(sxx(i+1,1,1)+sxx(i+1,0,1)+sxx(i+1,1,0)+sxx(i+1,0,0))*u(i+1,0,0) +0.25*(syy(i,1,0)+syy(i+1,1,0)+syy(i,1,1)+syy(i+1,1,1))*u(i,1,0) +0.25*(sxx(i,1,0)+sxx(i,0,0)+sxx(i,1,1)+sxx(i,0,1))*u(i-1,0,0) +0.25*(szz(i,1,1)+szz(i+1,1,1)+szz(i,0,1)+szz(i+1,0,1))*u(i,0,1) +I(i,0,0)*dx2)/( +0.25*(sxx(i+1,1,1)+sxx(i+1,0,1)+sxx(i+1,1,0)+sxx(i+1,0,0)) +0.25*(syy(i,1,0)+syy(i+1,1,0)+syy(i,1,1)+syy(i+1,1,1)) +0.25*(sxx(i,1,0)+sxx(i,0,0)+sxx(i,1,1)+sxx(i,0,1)) +0.25*(szz(i,1,1)+szz(i+1,1,1)+szz(i,0,1)+szz(i+1,0,1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } int j=0; // front face for (i=1; i<nx-1; i++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=0,k=nz-1; // front top edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } k=0; // bottom face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1, k=0; // back bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } // bulk for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } } k=nz-1; // top face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1; // back face for (i=1; i<nx-1; i++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1, k=nz-1; // back top edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=0, k=0; // bottom front right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, k=0; // bottom right edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=ny-1, k=0; // bottom back right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=0; // front right edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=0, k=nz-1; // front right top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1; // right face for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } i=nx-1, j=ny-1; // back right edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +I(i,j,k)*dx2)/( +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, k=nz-1; // right top edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=ny-1, k=nz-1; // top right back corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +I(i,j,k)*dx2)/( +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } if (fabs(sum) != 0.) { err = sqrt(err/sum); if (err<double(tol)) break; } } if (err>double(tol)) return_val=double(err); else return_val = double(t); ''' sor_3d_inh_xy = ''' # line 13 "sor_poisson_3d_inh_xy.py" double tmp, diff, err=1.0, sum, dx2 = double(_dx2); int t=0, i, j, k; for (t=0; t<int(nmax); t++) { err = 0.0; sum = 0.0; i=0, j=0, k=0; // left front bottom corner neumann boundary conditions with 1st order approximation tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, k=0; // left bottom edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.0625*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) - 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=0, j=ny-1, k=0; // left back bottom corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) - 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) - 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, j=0; // front left edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=0; // left face for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.0625*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i,j-1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) - 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } i=0, j=ny-1; // left back edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i,j-1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) - 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) - 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=0, j=0, k=nz-1; // left front top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=0, k=nz-1; // left top edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.0625*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i,j+1,k)-u(i+1,j+1,k)-u(i+1,j,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i,j-1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) - 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=0, j=ny-1, k=nz-1; // left back top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i,j-1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) - 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) - 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } j=0, k=0; // front bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.0625*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } int j=0; // front face for (i=1; i<nx-1; i++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.0625*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=0,k=nz-1; // front top edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) -0.0625*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } k=0; // bottom face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.0625*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.0625*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.0625*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.0625*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1, k=0; // back bottom edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i+1,j,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.0625*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) + 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } // bulk for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.0625*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.0625*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.0625*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.0625*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } } k=nz-1; // top face for (i=1; i<nx-1; i++) { for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.0625*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i,j+1,k)+u(i+1,j+1,k)-u(i,j-1,k)-u(i+1,j-1,k)) -0.0625*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i+1,j+1,k)-u(i+1,j,k)) +0.0625*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.0625*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1; // back face for (i=1; i<nx-1; i++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.0625*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) - 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } j=ny-1, k=nz-1; // back top edge for (i=1; i<nx-1; i++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k))*u(i+1,j,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k))*(u(i+1,j,k)-u(i,j-1,k)-u(i+1,j-1,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.0625*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i+1,j-1,k)+u(i+1,j,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i+1,j+1,k+1)+sxx(i+1,j,k+1)+sxx(i+1,j+1,k)+sxx(i+1,j,k)) - 0.125*(sxy(i+1,j+1,k+1)+sxy(i+1,j,k+1)+sxy(i+1,j+1,k)+sxy(i+1,j,k)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=0, k=0; // bottom front right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, k=0; // bottom right edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.0625*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) + 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=ny-1, k=0; // bottom back right corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) + 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1, j=0; // front right edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=0, k=nz-1; // front right top corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j,k)-u(i-1,j+1,k)-u(i,j+1,k)) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } i=nx-1; // right face for (j=1; j<ny-1; j++) { for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.0625*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) + 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } } i=nx-1, j=ny-1; // back right edge for (k=1; k<nz-1; k++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))*u(i,j,k+1) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) + 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k)) +0.25*(szz(i,j+1,k+1)+szz(i+1,j+1,k+1)+szz(i,j,k+1)+szz(i+1,j,k+1))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, k=nz-1; // right top edge for (j=1; j<ny-1; j++) { tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1))*u(i,j+1,k) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) -0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1))*(u(i-1,j+1,k)+u(i-1,j,k)-u(i,j+1,k)) +0.0625*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j+1,k)-u(i,j+1,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(syy(i,j+1,k)+syy(i+1,j+1,k)+syy(i,j+1,k+1)+syy(i+1,j+1,k+1)) - 0.125*(sxy(i,j+1,k)+sxy(i+1,j+1,k)+sxy(i,j+1,k+1)+sxy(i+1,j+1,k+1)) +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) + 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } } i=nx-1, j=ny-1, k=nz-1; // top right back corner tmp = u(i,j,k); u(i,j,k) = (1-w)*u(i,j,k) + w*(+0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1))*u(i-1,j,k) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1))*u(i,j-1,k) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))*u(i,j,k-1) +0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1))*(u(i-1,j-1,k)+u(i,j-1,k)-u(i-1,j,k)) -0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1))*(u(i,j-1,k)-u(i-1,j-1,k)-u(i-1,j,k)) +I(i,j,k)*dx2)/( +0.25*(sxx(i,j+1,k)+sxx(i,j,k)+sxx(i,j+1,k+1)+sxx(i,j,k+1)) + 0.125*(sxy(i,j+1,k)+sxy(i,j,k)+sxy(i,j+1,k+1)+sxy(i,j,k+1)) +0.25*(syy(i,j,k)+syy(i+1,j,k)+syy(i,j,k+1)+syy(i+1,j,k+1)) + 0.125*(sxy(i,j,k)+sxy(i+1,j,k)+sxy(i,j,k+1)+sxy(i+1,j,k+1)) +0.25*(szz(i,j+1,k)+szz(i+1,j+1,k)+szz(i,j,k)+szz(i+1,j,k))); if (u(i,j,k) != u(i,j,k)) u(i,j,k) = 0; else { diff = u(i,j,k) - tmp; err += diff*diff; sum += tmp*tmp; } if (fabs(sum) != 0.) { err = sqrt(err/sum); if (err<double(tol)) break; } } if (err>double(tol)) return_val=double(err); else return_val = double(t); '''

44.997388

151

0.424697

24,977

86,125

1.462265

0.002723

0.116091

0.119842

0.085316

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44.997388

0.42088

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1

0

1

null

0

12

83a41aef4ce0b340675b8ac06bf6e024b933d0b0

4,646

py

Python

site-packages/pskf/tools/plot/pa/normalscore.py

jjokella/pyshemkf

61a6329f7aa5739a38a68504fd6a44568fcd833b

[ "MIT" ]

5

2019-02-06T10:52:52.000Z

2021-05-21T09:32:45.000Z

site-packages/pskf/tools/plot/pa/normalscore.py

jjokella/pyshemkf

61a6329f7aa5739a38a68504fd6a44568fcd833b

[ "MIT" ]

null

site-packages/pskf/tools/plot/pa/normalscore.py

jjokella/pyshemkf

61a6329f7aa5739a38a68504fd6a44568fcd833b

[ "MIT" ]

1

2018-12-04T11:39:10.000Z

# Normal Score wavewell_dats = {50: '2018_03_12', 70: '2018_03_12', 100: '2018_03_12', 250: '2018_03_12', 500: '2018_03_12', 1000: '2018_03_12', 2000: '2018_03_12'} wavewell_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} wavewell_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} wavewell_obss = {50: 60, 70: 60, 100: 60, 250: 60, 500: 60, 1000: 60, 2000: 60} wavewell2_dats = {50: '2019_03_03', 70: '2019_03_03', 100: '2019_03_03', 250: '2019_03_03', 500: '2019_03_03', 1000: '2019_03_03', 2000: '2019_03_03'} wavewell2_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} wavewell2_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} wavewell2_obss = {50: 60, 70: 60, 100: 60, 250: 60, 500: 60, 1000: 60, 2000: 60} wavereal_dats = {50: '2018_02_06', 70: '2018_02_06', 100: '2018_02_06', 250: '2018_02_06', 500: '2018_02_06', 1000: '2018_02_06', 2000: '2018_02_06'} wavereal_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} wavereal_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} wavereal_obss = {50: 100, 70: 100, 100: 100, 250: 100, 500: 100, 1000: 100, 2000: 100} wavereal2_dats = {50: '2019_03_03', 70: '2019_03_03', 100: '2019_03_03', 250: '2019_03_03', 500: '2019_03_03', 1000: '2019_03_03', 2000: '2019_03_03'} wavereal2_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} wavereal2_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} wavereal2_obss = {50: 100, 70: 100, 100: 100, 250: 100, 500: 100, 1000: 100, 2000: 100} corrsmall_wavereal_dats = {50: '2018_09_03', 70: '2018_09_03', 100: '2018_09_03', 250: '2018_09_03', 500: '2018_09_03', 1000: '2018_09_03', 2000: '2018_09_03'} corrsmall_wavereal_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} corrsmall_wavereal_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} corrsmall_wavereal_obss = {50: 100, 70: 100, 100: 100, 250: 100, 500: 100, 1000: 100, 2000: 100} corrlarge_wavereal_dats = {50: '2018_09_13', 70: '2018_09_13', 100: '2018_09_13', 250: '2018_09_13', 500: '2018_09_13', 1000: '2018_09_13', 2000: '2018_09_13'} corrlarge_wavereal_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} corrlarge_wavereal_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} corrlarge_wavereal_obss = {50: 100, 70: 100, 100: 100, 250: 100, 500: 100, 1000: 100, 2000: 100} corrsmall_wavewell_dats = {50: '2018_09_03', 70: '2018_09_03', 100: '2018_09_03', 250: '2018_09_03', 500: '2018_09_03', 1000: '2018_09_03', 2000: '2018_09_03'} corrsmall_wavewell_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} corrsmall_wavewell_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} corrsmall_wavewell_obss = {50: 60, 70: 60, 100: 60, 250: 60, 500: 60, 1000: 60, 2000: 60} corrlarge_wavewell_dats = {50: '2018_09_13', 70: '2018_09_13', 100: '2018_09_13', 250: '2018_09_13', 500: '2018_09_13', 1000: '2018_09_13', 2000: '2018_09_13'} corrlarge_wavewell_lets = {50: 'b', 70: 'aln', 100: 'bxz', 250: 'dkl', 500: 'ewx', 1000: 'gjj', 2000: 'hvv'} corrlarge_wavewell_nums = {50: 1000, 70: 1000, 100: 1000, 250: 1000, 500: 100, 1000: 100, 2000: 100} corrlarge_wavewell_obss = {50: 60, 70: 60, 100: 60, 250: 60, 500: 60, 1000: 60, 2000: 60}

52.202247

70

0.499139

642

4,646

3.362928

0.054517

0.077814

0.051876

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0

0.480366

0.34223

4,646

88

71

52.795455

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false

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null

0

1

0

1

0

1

0

null

0

8

83b27a25a9140d1b6db85305e96ed70fd7624e48

14,005

py

Python

recipe/migrations/0008_auto_20201108_1126.py

wichmannpas/recipemanager

787b11b958c9938af9440330c2d3597400dbfdcc

[ "Apache-2.0" ]

1

2021-03-01T09:31:58.000Z

recipe/migrations/0008_auto_20201108_1126.py

wichmannpas/recipemanager

787b11b958c9938af9440330c2d3597400dbfdcc

[ "Apache-2.0" ]

null

recipe/migrations/0008_auto_20201108_1126.py

wichmannpas/recipemanager

787b11b958c9938af9440330c2d3597400dbfdcc

[ "Apache-2.0" ]

null

# Generated by Django 3.1.1 on 2020-11-08 10:26 from decimal import Decimal from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('recipe', '0007_recipe_display_factor'), ] operations = [ migrations.AddField( model_name='ingredient', name='carbohydrates_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='carbohydrates_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='carbohydrates_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='carbohydrates_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='carbohydrates_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='carbohydrates_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_monounsaturated_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_monounsaturated_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_monounsaturated_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_monounsaturated_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_monounsaturated_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_monounsaturated_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_polyunsaturated_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_polyunsaturated_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_polyunsaturated_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_polyunsaturated_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_polyunsaturated_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_polyunsaturated_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_saturated_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_saturated_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_saturated_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_saturated_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_saturated_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_saturated_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fat_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fibres_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fibres_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fibres_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fibres_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fibres_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='fibres_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='kcal_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='kcal_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='kcal_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='kcal_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='kcal_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='kcal_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='price_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='price_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='price_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='price_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='price_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='price_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='protein_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='protein_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='protein_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='protein_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='protein_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='protein_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='salt_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='salt_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='salt_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='salt_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='salt_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='salt_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='sugar_el', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='sugar_g', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='sugar_l', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='sugar_ml', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='sugar_pieces', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='ingredient', name='sugar_tl', field=models.DecimalField(blank=True, decimal_places=3, max_digits=10, null=True), ), migrations.AddField( model_name='recipe', name='portions', field=models.DecimalField(decimal_places=3, default=Decimal('1'), max_digits=10), ), ]

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5.497253

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14,005

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40.12894

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null

0

1

0

1

0

null

0

10

83da54fe4ab08df7ae68bfe399e478903a7b9fa7

3,928

py

Python

bench_test/tests/basic/test_access.py

hankei6km/xrosfs

17d9db92345d53198eb6a50d8a826557e41f293f

[ "MIT" ]

1

2021-07-09T16:56:52.000Z

bench_test/tests/basic/test_access.py

hankei6km/xrosfs

17d9db92345d53198eb6a50d8a826557e41f293f

[ "MIT" ]

null

bench_test/tests/basic/test_access.py

hankei6km/xrosfs

17d9db92345d53198eb6a50d8a826557e41f293f

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (c) 2018 hankei6km # Licensed under the MIT License. See LICENSE.txt in the project root. import os class TestAccess(): test_file = ('access', 'test.txt') test_x_file = ('access', 'test_x.txt') no_exist_file = ('access', 'no_exist.txt') def test_access(self, mnt_sshfs_path, mnt_xrosfs_path): test_file_sshfs_path = \ os.path.join(mnt_sshfs_path, *self.test_file) test_x_file_sshfs_path = \ os.path.join(mnt_sshfs_path, *self.test_x_file) no_exist_file_sshfs_path = \ os.path.join(mnt_sshfs_path, *self.no_exist_file) test_file_xrosfs_path = \ os.path.join(mnt_xrosfs_path, *self.test_file) test_x_file_xrosfs_path = \ os.path.join(mnt_xrosfs_path, *self.test_x_file) no_exist_file_xrosfs_path = \ os.path.join(mnt_xrosfs_path, *self.no_exist_file) # Check test data is exist separataly sshfs/xrofs assert os.access(test_file_sshfs_path, os.F_OK) assert os.access(test_file_xrosfs_path, os.F_OK) assert os.access(test_file_sshfs_path, os.F_OK) == \ os.access(test_file_xrosfs_path, os.F_OK) assert os.access(test_file_sshfs_path, os.R_OK) == \ os.access(test_file_xrosfs_path, os.R_OK) assert os.access(test_file_sshfs_path, os.W_OK) == \ os.access(test_file_xrosfs_path, os.W_OK) assert os.access(test_file_sshfs_path, os.X_OK) == \ os.access(test_file_xrosfs_path, os.X_OK) assert os.access(test_file_sshfs_path, os.R_OK | os.W_OK | os.X_OK) \ == os.access(test_file_xrosfs_path, os.R_OK | os.W_OK | os.X_OK) assert os.access(test_file_sshfs_path, os.R_OK | os.W_OK) == \ os.access(test_file_xrosfs_path, os.R_OK | os.W_OK) assert os.access(test_file_sshfs_path, os.R_OK | os.X_OK) == \ os.access(test_file_xrosfs_path, os.R_OK | os.X_OK) assert os.access(test_file_sshfs_path, os.W_OK | os.X_OK) == \ os.access(test_file_xrosfs_path, os.W_OK | os.X_OK) assert os.access(test_x_file_sshfs_path, os.X_OK) == \ os.access(test_x_file_xrosfs_path, os.X_OK) assert os.access(test_x_file_sshfs_path, os.R_OK | os.W_OK | os.X_OK) \ == os.access(test_x_file_xrosfs_path, os.R_OK | os.W_OK | os.X_OK) assert os.access(test_x_file_sshfs_path, os.R_OK | os.W_OK) == \ os.access(test_x_file_xrosfs_path, os.R_OK | os.W_OK) assert os.access(test_x_file_sshfs_path, os.R_OK | os.X_OK) == \ os.access(test_x_file_xrosfs_path, os.R_OK | os.X_OK) assert os.access(test_x_file_sshfs_path, os.W_OK | os.X_OK) == \ os.access(test_x_file_xrosfs_path, os.W_OK | os.X_OK) assert os.access(no_exist_file_sshfs_path, os.F_OK) == \ os.access(no_exist_file_xrosfs_path, os.F_OK) assert os.access(no_exist_file_sshfs_path, os.R_OK) == \ os.access(no_exist_file_xrosfs_path, os.R_OK) assert os.access(no_exist_file_sshfs_path, os.W_OK) == \ os.access(no_exist_file_xrosfs_path, os.W_OK) assert os.access(no_exist_file_sshfs_path, os.X_OK) == \ os.access(no_exist_file_xrosfs_path, os.X_OK) assert os.access(no_exist_file_sshfs_path, os.R_OK | os.W_OK | os.X_OK) == \ os.access(no_exist_file_xrosfs_path, os.R_OK | os.W_OK | os.X_OK) assert os.access(no_exist_file_sshfs_path, os.R_OK | os.W_OK) == \ os.access(no_exist_file_xrosfs_path, os.R_OK | os.W_OK) assert os.access(no_exist_file_sshfs_path, os.R_OK | os.X_OK) == \ os.access(no_exist_file_xrosfs_path, os.R_OK | os.X_OK) assert os.access(no_exist_file_sshfs_path, os.W_OK | os.X_OK) == \ os.access(no_exist_file_xrosfs_path, os.W_OK | os.X_OK)

49.721519

79

0.653768

681

3,928

3.348018

0.064611

0.089474

0.147368

0.164474

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0.832456

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3,928

78

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0.095238

0

null

0

1

0

null

0

7

83eb3139b4037f45607013e1c559f1b0623778f7

2,454

py

Python

games/azurelane/assist.py

sirakami-yuki/games-script

14f9701847c3025f7cc157a83d3538dbb24cd5a2

[ "Apache-2.0" ]

null

games/azurelane/assist.py

sirakami-yuki/games-script

14f9701847c3025f7cc157a83d3538dbb24cd5a2

[ "Apache-2.0" ]

null

games/azurelane/assist.py

sirakami-yuki/games-script

14f9701847c3025f7cc157a83d3538dbb24cd5a2

[ "Apache-2.0" ]

null

from common.logutil import logger def calculate_move_map(context, _): width, height = context.screen_width, context.screen_height center_x, center_y = width / 2, height / 2 # 屏幕中心坐标 horizontal_unit_distance = width / 3.5 # 水平方向每次移动距离 vertical_unit_distance = height / 4 # 垂直方向每次移动距离 if context.swipe_hor_positive: if context.swipe_hor_times < 2: context.swipe_hor_times += 1 to_x = center_x - horizontal_unit_distance to_y = center_y else: context.swipe_hor_positive = False to_x = center_x if context.swipe_ver_positive: if context.swipe_ver_times < 2: context.swipe_ver_times += 1 to_y = center_y + vertical_unit_distance else: context.swipe_ver_positive = False context.swipe_ver_times -= 1 to_y = center_y - vertical_unit_distance else: if context.swipe_ver_times > -2: context.swipe_ver_times -= 1 to_y = center_y - vertical_unit_distance else: context.swipe_ver_positive = True context.swipe_ver_times += 1 to_y = center_y + vertical_unit_distance else: to_y = center_y if context.swipe_hor_times > -2: context.swipe_hor_times -= 1 to_x = center_x + horizontal_unit_distance else: context.swipe_hor_positive = True to_x = center_x if context.swipe_ver_positive: if context.swipe_ver_times < 2: context.swipe_ver_times += 1 to_y = center_y + vertical_unit_distance else: context.swipe_ver_positive = False context.swipe_ver_times -= 1 to_y = center_y - vertical_unit_distance else: if context.swipe_ver_times > -2: context.swipe_ver_times -= 1 to_y = center_y - vertical_unit_distance else: context.swipe_ver_positive = True context.swipe_ver_times += 1 to_y = center_y + vertical_unit_distance return center_x, center_y, to_x, to_y

41.59322

64

0.53749

275

2,454

4.385455

0.141818

0.248756

0.223881

0.199005

0.757877

0.713101

0

0.014513

0.41035

2,454

58

65

42.310345

0.818936

0.01141

0

0.709091

0

1

0.018182

false

0

0.018182

0

0.054545

0

null

1

0

1

0

1

0

null

0

9

f7ab4fded400c99a1cee49ee2b9fcd85972d747e

2,634

py

Python

src/tests/test_tools.py

devsetgo/test-api

2a84bbacbf5cd043b2227e74332e8518927a8238

[ "MIT" ]

9

2019-05-22T08:46:01.000Z

2021-12-10T06:44:56.000Z

src/tests/test_tools.py

devsetgo/test-api

2a84bbacbf5cd043b2227e74332e8518927a8238

[ "MIT" ]

285

2019-09-03T00:52:39.000Z

2022-02-13T02:13:59.000Z

src/tests/test_tools.py

devsetgo/test-api

2a84bbacbf5cd043b2227e74332e8518927a8238

[ "MIT" ]

4

2019-09-19T18:14:09.000Z

2020-12-15T18:35:07.000Z

# -*- coding: utf-8 -*- import unittest from pathlib import Path from starlette.testclient import TestClient from src.main import app client = TestClient(app) directory_to__files: str = "data" class Test(unittest.TestCase): # xml endpoint test def test_xml_four_hundred(self): file_directory = f"{directory_to__files}/testfiles" directory_path = Path.cwd().joinpath(file_directory) file_path = f"{directory_path}/test_sample.json" url = f"/api/v1/tools/xml-json" files = {"myfile": open(file_path, "r")} response = client.post(url, files=files) assert response.status_code == 400 def test_xml(self): file_directory = f"{directory_to__files}/testfiles" directory_path = Path.cwd().joinpath(file_directory) file_path = f"{directory_path}/test_sample.xml" url = f"/api/v1/tools/xml-json" files = {"myfile": open(file_path, "r")} response = client.post(url, files=files) assert response.status_code == 200 def test_xml_error(self): file_directory = f"{directory_to__files}/testfiles" directory_path = Path.cwd().joinpath(file_directory) file_path = f"{directory_path}/test_sample_bad.xml" url = f"/api/v1/tools/xml-json" files = {"myfile": open(file_path, "r")} response = client.post(url, files=files) assert response.status_code == 400 # json endpoint test def test_json_four_hundred(self): file_directory = f"{directory_to__files}/testfiles" directory_path = Path.cwd().joinpath(file_directory) file_path = f"{directory_path}/test_sample.xml" url = f"/api/v1/tools/json-xml" files = {"myfile": open(file_path, "r")} response = client.post(url, files=files) assert response.status_code == 400 def test_json(self): file_directory = f"{directory_to__files}/testfiles" directory_path = Path.cwd().joinpath(file_directory) file_path = f"{directory_path}/test_sample.json" url = f"/api/v1/tools/json-xml" files = {"myfile": open(file_path, "r")} response = client.post(url, files=files) assert response.status_code == 200 def test_json_error(self): file_directory = f"{directory_to__files}/testfiles" directory_path = Path.cwd().joinpath(file_directory) file_path = f"{directory_path}/test_sample_bad.json" url = f"/api/v1/tools/json-xml" files = {"myfile": open(file_path, "r")} response = client.post(url, files=files) assert response.status_code == 400

34.657895

60

0.653379

345

2,634

4.747826

0.147826

0.095238

0.068376

0.065934

0.855311

0

0.012189

0.221336

2,634

75

61

35.12

0.786446

0.02202

0

0.727273

0

0.220451

0.202566

0

0.109091

1

0.109091

false

0

0.072727

0

0.2

0

null

0

1

0

1

0

null

0

7

f7fe5cc57b8dc3dbda90bbec12570fac6442abf1

778,605

py

Python

test/unit/test_cloudant_v1.py

IBM/cloudant-python-sdk

e5c6dfb7a0b932025e3249dece60658e390a4e8d

[ "Apache-2.0" ]

19

2020-11-10T13:50:54.000Z

2022-03-28T03:35:53.000Z

test/unit/test_cloudant_v1.py

IBM/cloudant-python-sdk

e5c6dfb7a0b932025e3249dece60658e390a4e8d

[ "Apache-2.0" ]

129

2020-08-19T14:20:18.000Z

2022-03-31T07:39:30.000Z

test/unit/test_cloudant_v1.py

IBM/cloudant-python-sdk

e5c6dfb7a0b932025e3249dece60658e390a4e8d

[ "Apache-2.0" ]

5

2020-06-29T15:25:41.000Z

2021-08-16T23:33:35.000Z

# -*- coding: utf-8 -*- # (C) Copyright IBM Corp. 2021. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Unit Tests for CloudantV1 """ from datetime import datetime, timezone from ibm_cloud_sdk_core.authenticators.no_auth_authenticator import NoAuthAuthenticator from ibm_cloud_sdk_core.utils import datetime_to_string, string_to_datetime import base64 import inspect import io import json import os import pytest import re import requests import requests.models import responses import tempfile import urllib import gzip from ibmcloudant.cloudant_v1 import * _service = CloudantV1( authenticator=NoAuthAuthenticator() ) _base_url = 'http://localhost:5984' _service.set_service_url(_base_url) ############################################################################## # Start of Service: Server ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetServerInformation(): """ Test Class for get_server_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_server_information_all_params(self): """ get_server_information() """ # Set up mock url = self.preprocess_url(_base_url + '/') mock_response = '{"couchdb": "couchdb", "features": ["features"], "vendor": {"name": "name", "variant": "variant", "version": "version"}, "version": "version", "features_flags": ["features_flags"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_server_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_server_information_all_params_with_retries(self): # Enable retries and run test_get_server_information_all_params. _service.enable_retries() self.test_get_server_information_all_params() # Disable retries and run test_get_server_information_all_params. _service.disable_retries() self.test_get_server_information_all_params() class TestGetMembershipInformation(): """ Test Class for get_membership_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_membership_information_all_params(self): """ get_membership_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_membership') mock_response = '{"all_nodes": ["all_nodes"], "cluster_nodes": ["cluster_nodes"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_membership_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_membership_information_all_params_with_retries(self): # Enable retries and run test_get_membership_information_all_params. _service.enable_retries() self.test_get_membership_information_all_params() # Disable retries and run test_get_membership_information_all_params. _service.disable_retries() self.test_get_membership_information_all_params() class TestGetUuids(): """ Test Class for get_uuids """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_uuids_all_params(self): """ get_uuids() """ # Set up mock url = self.preprocess_url(_base_url + '/_uuids') mock_response = '{"uuids": ["uuids"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values count = 1 # Invoke method response = _service.get_uuids( count=count, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'count={}'.format(count) in query_string def test_get_uuids_all_params_with_retries(self): # Enable retries and run test_get_uuids_all_params. _service.enable_retries() self.test_get_uuids_all_params() # Disable retries and run test_get_uuids_all_params. _service.disable_retries() self.test_get_uuids_all_params() @responses.activate def test_get_uuids_required_params(self): """ test_get_uuids_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_uuids') mock_response = '{"uuids": ["uuids"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_uuids() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_uuids_required_params_with_retries(self): # Enable retries and run test_get_uuids_required_params. _service.enable_retries() self.test_get_uuids_required_params() # Disable retries and run test_get_uuids_required_params. _service.disable_retries() self.test_get_uuids_required_params() class TestGetCapacityThroughputInformation(): """ Test Class for get_capacity_throughput_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_capacity_throughput_information_all_params(self): """ get_capacity_throughput_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/capacity/throughput') mock_response = '{"current": {"throughput": {"blocks": 0, "query": 0, "read": 0, "write": 0}}, "target": {"throughput": {"blocks": 0, "query": 0, "read": 0, "write": 0}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_capacity_throughput_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_capacity_throughput_information_all_params_with_retries(self): # Enable retries and run test_get_capacity_throughput_information_all_params. _service.enable_retries() self.test_get_capacity_throughput_information_all_params() # Disable retries and run test_get_capacity_throughput_information_all_params. _service.disable_retries() self.test_get_capacity_throughput_information_all_params() class TestPutCapacityThroughputConfiguration(): """ Test Class for put_capacity_throughput_configuration """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_capacity_throughput_configuration_all_params(self): """ put_capacity_throughput_configuration() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/capacity/throughput') mock_response = '{"current": {"throughput": {"blocks": 0, "query": 0, "read": 0, "write": 0}}, "target": {"throughput": {"blocks": 0, "query": 0, "read": 0, "write": 0}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values blocks = 0 # Invoke method response = _service.put_capacity_throughput_configuration( blocks, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['blocks'] == 0 def test_put_capacity_throughput_configuration_all_params_with_retries(self): # Enable retries and run test_put_capacity_throughput_configuration_all_params. _service.enable_retries() self.test_put_capacity_throughput_configuration_all_params() # Disable retries and run test_put_capacity_throughput_configuration_all_params. _service.disable_retries() self.test_put_capacity_throughput_configuration_all_params() @responses.activate def test_put_capacity_throughput_configuration_value_error(self): """ test_put_capacity_throughput_configuration_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/capacity/throughput') mock_response = '{"current": {"throughput": {"blocks": 0, "query": 0, "read": 0, "write": 0}}, "target": {"throughput": {"blocks": 0, "query": 0, "read": 0, "write": 0}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values blocks = 0 # Pass in all but one required param and check for a ValueError req_param_dict = { "blocks": blocks, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_capacity_throughput_configuration(**req_copy) def test_put_capacity_throughput_configuration_value_error_with_retries(self): # Enable retries and run test_put_capacity_throughput_configuration_value_error. _service.enable_retries() self.test_put_capacity_throughput_configuration_value_error() # Disable retries and run test_put_capacity_throughput_configuration_value_error. _service.disable_retries() self.test_put_capacity_throughput_configuration_value_error() # endregion ############################################################################## # End of Service: Server ############################################################################## ############################################################################## # Start of Service: Changes ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetDbUpdates(): """ Test Class for get_db_updates """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_db_updates_all_params(self): """ get_db_updates() """ # Set up mock url = self.preprocess_url(_base_url + '/_db_updates') mock_response = '{"last_seq": "last_seq", "results": [{"account": "account", "db_name": "db_name", "seq": "seq", "type": "created"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values feed = 'normal' heartbeat = 0 timeout = 0 since = '0' # Invoke method response = _service.get_db_updates( feed=feed, heartbeat=heartbeat, timeout=timeout, since=since, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'feed={}'.format(feed) in query_string assert 'heartbeat={}'.format(heartbeat) in query_string assert 'timeout={}'.format(timeout) in query_string assert 'since={}'.format(since) in query_string def test_get_db_updates_all_params_with_retries(self): # Enable retries and run test_get_db_updates_all_params. _service.enable_retries() self.test_get_db_updates_all_params() # Disable retries and run test_get_db_updates_all_params. _service.disable_retries() self.test_get_db_updates_all_params() @responses.activate def test_get_db_updates_required_params(self): """ test_get_db_updates_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_db_updates') mock_response = '{"last_seq": "last_seq", "results": [{"account": "account", "db_name": "db_name", "seq": "seq", "type": "created"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_db_updates() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_db_updates_required_params_with_retries(self): # Enable retries and run test_get_db_updates_required_params. _service.enable_retries() self.test_get_db_updates_required_params() # Disable retries and run test_get_db_updates_required_params. _service.disable_retries() self.test_get_db_updates_required_params() class TestPostChanges(): """ Test Class for post_changes """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_changes_all_params(self): """ post_changes() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_changes') mock_response = '{"last_seq": "last_seq", "pending": 7, "results": [{"changes": [{"rev": "rev"}], "deleted": false, "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "seq": "seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_ids = ['testString'] fields = ['testString'] selector = {} last_event_id = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False feed = 'normal' filter = 'testString' heartbeat = 0 include_docs = False limit = 0 seq_interval = 1 since = '0' style = 'main_only' timeout = 0 view = 'testString' # Invoke method response = _service.post_changes( db, doc_ids=doc_ids, fields=fields, selector=selector, last_event_id=last_event_id, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, feed=feed, filter=filter, heartbeat=heartbeat, include_docs=include_docs, limit=limit, seq_interval=seq_interval, since=since, style=style, timeout=timeout, view=view, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'descending={}'.format('true' if descending else 'false') in query_string assert 'feed={}'.format(feed) in query_string assert 'filter={}'.format(filter) in query_string assert 'heartbeat={}'.format(heartbeat) in query_string assert 'include_docs={}'.format('true' if include_docs else 'false') in query_string assert 'limit={}'.format(limit) in query_string assert 'seq_interval={}'.format(seq_interval) in query_string assert 'since={}'.format(since) in query_string assert 'style={}'.format(style) in query_string assert 'timeout={}'.format(timeout) in query_string assert 'view={}'.format(view) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['doc_ids'] == ['testString'] assert req_body['fields'] == ['testString'] assert req_body['selector'] == {} def test_post_changes_all_params_with_retries(self): # Enable retries and run test_post_changes_all_params. _service.enable_retries() self.test_post_changes_all_params() # Disable retries and run test_post_changes_all_params. _service.disable_retries() self.test_post_changes_all_params() @responses.activate def test_post_changes_required_params(self): """ test_post_changes_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_changes') mock_response = '{"last_seq": "last_seq", "pending": 7, "results": [{"changes": [{"rev": "rev"}], "deleted": false, "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "seq": "seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_ids = ['testString'] fields = ['testString'] selector = {} # Invoke method response = _service.post_changes( db, doc_ids=doc_ids, fields=fields, selector=selector, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['doc_ids'] == ['testString'] assert req_body['fields'] == ['testString'] assert req_body['selector'] == {} def test_post_changes_required_params_with_retries(self): # Enable retries and run test_post_changes_required_params. _service.enable_retries() self.test_post_changes_required_params() # Disable retries and run test_post_changes_required_params. _service.disable_retries() self.test_post_changes_required_params() @responses.activate def test_post_changes_value_error(self): """ test_post_changes_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_changes') mock_response = '{"last_seq": "last_seq", "pending": 7, "results": [{"changes": [{"rev": "rev"}], "deleted": false, "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "seq": "seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_ids = ['testString'] fields = ['testString'] selector = {} # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_changes(**req_copy) def test_post_changes_value_error_with_retries(self): # Enable retries and run test_post_changes_value_error. _service.enable_retries() self.test_post_changes_value_error() # Disable retries and run test_post_changes_value_error. _service.disable_retries() self.test_post_changes_value_error() class TestPostChangesAsStream(): """ Test Class for post_changes_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_changes_as_stream_all_params(self): """ post_changes_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_changes') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_ids = ['0007741142412418284'] fields = ['testString'] selector = {} last_event_id = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False feed = 'normal' filter = 'testString' heartbeat = 0 include_docs = False limit = 0 seq_interval = 1 since = '0' style = 'main_only' timeout = 0 view = 'testString' # Invoke method response = _service.post_changes_as_stream( db, doc_ids=doc_ids, fields=fields, selector=selector, last_event_id=last_event_id, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, feed=feed, filter=filter, heartbeat=heartbeat, include_docs=include_docs, limit=limit, seq_interval=seq_interval, since=since, style=style, timeout=timeout, view=view, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'descending={}'.format('true' if descending else 'false') in query_string assert 'feed={}'.format(feed) in query_string assert 'filter={}'.format(filter) in query_string assert 'heartbeat={}'.format(heartbeat) in query_string assert 'include_docs={}'.format('true' if include_docs else 'false') in query_string assert 'limit={}'.format(limit) in query_string assert 'seq_interval={}'.format(seq_interval) in query_string assert 'since={}'.format(since) in query_string assert 'style={}'.format(style) in query_string assert 'timeout={}'.format(timeout) in query_string assert 'view={}'.format(view) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['doc_ids'] == ['0007741142412418284'] assert req_body['fields'] == ['testString'] assert req_body['selector'] == {} # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_changes_as_stream_all_params_with_retries(self): # Enable retries and run test_post_changes_as_stream_all_params. _service.enable_retries() self.test_post_changes_as_stream_all_params() # Disable retries and run test_post_changes_as_stream_all_params. _service.disable_retries() self.test_post_changes_as_stream_all_params() @responses.activate def test_post_changes_as_stream_required_params(self): """ test_post_changes_as_stream_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_changes') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_ids = ['0007741142412418284'] fields = ['testString'] selector = {} # Invoke method response = _service.post_changes_as_stream( db, doc_ids=doc_ids, fields=fields, selector=selector, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['doc_ids'] == ['0007741142412418284'] assert req_body['fields'] == ['testString'] assert req_body['selector'] == {} # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_changes_as_stream_required_params_with_retries(self): # Enable retries and run test_post_changes_as_stream_required_params. _service.enable_retries() self.test_post_changes_as_stream_required_params() # Disable retries and run test_post_changes_as_stream_required_params. _service.disable_retries() self.test_post_changes_as_stream_required_params() @responses.activate def test_post_changes_as_stream_value_error(self): """ test_post_changes_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_changes') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_ids = ['0007741142412418284'] fields = ['testString'] selector = {} # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_changes_as_stream(**req_copy) def test_post_changes_as_stream_value_error_with_retries(self): # Enable retries and run test_post_changes_as_stream_value_error. _service.enable_retries() self.test_post_changes_as_stream_value_error() # Disable retries and run test_post_changes_as_stream_value_error. _service.disable_retries() self.test_post_changes_as_stream_value_error() # endregion ############################################################################## # End of Service: Changes ############################################################################## ############################################################################## # Start of Service: Databases ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadDatabase(): """ Test Class for head_database """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_database_all_params(self): """ head_database() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' # Invoke method response = _service.head_database( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_database_all_params_with_retries(self): # Enable retries and run test_head_database_all_params. _service.enable_retries() self.test_head_database_all_params() # Disable retries and run test_head_database_all_params. _service.disable_retries() self.test_head_database_all_params() @responses.activate def test_head_database_value_error(self): """ test_head_database_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_database(**req_copy) def test_head_database_value_error_with_retries(self): # Enable retries and run test_head_database_value_error. _service.enable_retries() self.test_head_database_value_error() # Disable retries and run test_head_database_value_error. _service.disable_retries() self.test_head_database_value_error() class TestGetAllDbs(): """ Test Class for get_all_dbs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_all_dbs_all_params(self): """ get_all_dbs() """ # Set up mock url = self.preprocess_url(_base_url + '/_all_dbs') mock_response = '["operation_response"]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values descending = False endkey = 'testString' limit = 0 skip = 0 startkey = 'testString' # Invoke method response = _service.get_all_dbs( descending=descending, endkey=endkey, limit=limit, skip=skip, startkey=startkey, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'descending={}'.format('true' if descending else 'false') in query_string assert 'endkey={}'.format(endkey) in query_string assert 'limit={}'.format(limit) in query_string assert 'skip={}'.format(skip) in query_string assert 'startkey={}'.format(startkey) in query_string def test_get_all_dbs_all_params_with_retries(self): # Enable retries and run test_get_all_dbs_all_params. _service.enable_retries() self.test_get_all_dbs_all_params() # Disable retries and run test_get_all_dbs_all_params. _service.disable_retries() self.test_get_all_dbs_all_params() @responses.activate def test_get_all_dbs_required_params(self): """ test_get_all_dbs_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_all_dbs') mock_response = '["operation_response"]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_all_dbs() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_all_dbs_required_params_with_retries(self): # Enable retries and run test_get_all_dbs_required_params. _service.enable_retries() self.test_get_all_dbs_required_params() # Disable retries and run test_get_all_dbs_required_params. _service.disable_retries() self.test_get_all_dbs_required_params() class TestPostDbsInfo(): """ Test Class for post_dbs_info """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_dbs_info_all_params(self): """ post_dbs_info() """ # Set up mock url = self.preprocess_url(_base_url + '/_dbs_info') mock_response = '[{"error": "error", "info": {"cluster": {"n": 1, "q": 1, "r": 1, "w": 1}, "committed_update_seq": "committed_update_seq", "compact_running": false, "compacted_seq": "compacted_seq", "db_name": "db_name", "disk_format_version": 19, "doc_count": 0, "doc_del_count": 0, "engine": "engine", "props": {"partitioned": false}, "sizes": {"active": 6, "external": 8, "file": 4}, "update_seq": "update_seq", "uuid": "uuid"}, "key": "key"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values keys = ['testString'] # Invoke method response = _service.post_dbs_info( keys, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['keys'] == ['testString'] def test_post_dbs_info_all_params_with_retries(self): # Enable retries and run test_post_dbs_info_all_params. _service.enable_retries() self.test_post_dbs_info_all_params() # Disable retries and run test_post_dbs_info_all_params. _service.disable_retries() self.test_post_dbs_info_all_params() @responses.activate def test_post_dbs_info_value_error(self): """ test_post_dbs_info_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_dbs_info') mock_response = '[{"error": "error", "info": {"cluster": {"n": 1, "q": 1, "r": 1, "w": 1}, "committed_update_seq": "committed_update_seq", "compact_running": false, "compacted_seq": "compacted_seq", "db_name": "db_name", "disk_format_version": 19, "doc_count": 0, "doc_del_count": 0, "engine": "engine", "props": {"partitioned": false}, "sizes": {"active": 6, "external": 8, "file": 4}, "update_seq": "update_seq", "uuid": "uuid"}, "key": "key"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values keys = ['testString'] # Pass in all but one required param and check for a ValueError req_param_dict = { "keys": keys, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_dbs_info(**req_copy) def test_post_dbs_info_value_error_with_retries(self): # Enable retries and run test_post_dbs_info_value_error. _service.enable_retries() self.test_post_dbs_info_value_error() # Disable retries and run test_post_dbs_info_value_error. _service.disable_retries() self.test_post_dbs_info_value_error() class TestDeleteDatabase(): """ Test Class for delete_database """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_database_all_params(self): """ delete_database() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"ok": true}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Invoke method response = _service.delete_database( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_delete_database_all_params_with_retries(self): # Enable retries and run test_delete_database_all_params. _service.enable_retries() self.test_delete_database_all_params() # Disable retries and run test_delete_database_all_params. _service.disable_retries() self.test_delete_database_all_params() @responses.activate def test_delete_database_value_error(self): """ test_delete_database_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"ok": true}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_database(**req_copy) def test_delete_database_value_error_with_retries(self): # Enable retries and run test_delete_database_value_error. _service.enable_retries() self.test_delete_database_value_error() # Disable retries and run test_delete_database_value_error. _service.disable_retries() self.test_delete_database_value_error() class TestGetDatabaseInformation(): """ Test Class for get_database_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_database_information_all_params(self): """ get_database_information() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"cluster": {"n": 1, "q": 1, "r": 1, "w": 1}, "committed_update_seq": "committed_update_seq", "compact_running": false, "compacted_seq": "compacted_seq", "db_name": "db_name", "disk_format_version": 19, "doc_count": 0, "doc_del_count": 0, "engine": "engine", "props": {"partitioned": false}, "sizes": {"active": 6, "external": 8, "file": 4}, "update_seq": "update_seq", "uuid": "uuid"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Invoke method response = _service.get_database_information( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_database_information_all_params_with_retries(self): # Enable retries and run test_get_database_information_all_params. _service.enable_retries() self.test_get_database_information_all_params() # Disable retries and run test_get_database_information_all_params. _service.disable_retries() self.test_get_database_information_all_params() @responses.activate def test_get_database_information_value_error(self): """ test_get_database_information_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"cluster": {"n": 1, "q": 1, "r": 1, "w": 1}, "committed_update_seq": "committed_update_seq", "compact_running": false, "compacted_seq": "compacted_seq", "db_name": "db_name", "disk_format_version": 19, "doc_count": 0, "doc_del_count": 0, "engine": "engine", "props": {"partitioned": false}, "sizes": {"active": 6, "external": 8, "file": 4}, "update_seq": "update_seq", "uuid": "uuid"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_database_information(**req_copy) def test_get_database_information_value_error_with_retries(self): # Enable retries and run test_get_database_information_value_error. _service.enable_retries() self.test_get_database_information_value_error() # Disable retries and run test_get_database_information_value_error. _service.disable_retries() self.test_get_database_information_value_error() class TestPutDatabase(): """ Test Class for put_database """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_database_all_params(self): """ put_database() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' partitioned = False q = 1 # Invoke method response = _service.put_database( db, partitioned=partitioned, q=q, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'partitioned={}'.format('true' if partitioned else 'false') in query_string assert 'q={}'.format(q) in query_string def test_put_database_all_params_with_retries(self): # Enable retries and run test_put_database_all_params. _service.enable_retries() self.test_put_database_all_params() # Disable retries and run test_put_database_all_params. _service.disable_retries() self.test_put_database_all_params() @responses.activate def test_put_database_required_params(self): """ test_put_database_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' # Invoke method response = _service.put_database( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 def test_put_database_required_params_with_retries(self): # Enable retries and run test_put_database_required_params. _service.enable_retries() self.test_put_database_required_params() # Disable retries and run test_put_database_required_params. _service.disable_retries() self.test_put_database_required_params() @responses.activate def test_put_database_value_error(self): """ test_put_database_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_database(**req_copy) def test_put_database_value_error_with_retries(self): # Enable retries and run test_put_database_value_error. _service.enable_retries() self.test_put_database_value_error() # Disable retries and run test_put_database_value_error. _service.disable_retries() self.test_put_database_value_error() # endregion ############################################################################## # End of Service: Databases ############################################################################## ############################################################################## # Start of Service: Documents ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadDocument(): """ Test Class for head_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_document_all_params(self): """ head_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_none_match = 'testString' latest = False rev = 'testString' # Invoke method response = _service.head_document( db, doc_id, if_none_match=if_none_match, latest=latest, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'rev={}'.format(rev) in query_string def test_head_document_all_params_with_retries(self): # Enable retries and run test_head_document_all_params. _service.enable_retries() self.test_head_document_all_params() # Disable retries and run test_head_document_all_params. _service.disable_retries() self.test_head_document_all_params() @responses.activate def test_head_document_required_params(self): """ test_head_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.head_document( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_document_required_params_with_retries(self): # Enable retries and run test_head_document_required_params. _service.enable_retries() self.test_head_document_required_params() # Disable retries and run test_head_document_required_params. _service.disable_retries() self.test_head_document_required_params() @responses.activate def test_head_document_value_error(self): """ test_head_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_document(**req_copy) def test_head_document_value_error_with_retries(self): # Enable retries and run test_head_document_value_error. _service.enable_retries() self.test_head_document_value_error() # Disable retries and run test_head_document_value_error. _service.disable_retries() self.test_head_document_value_error() class TestPostDocument(): """ Test Class for post_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_document_all_params(self): """ post_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Set up parameter values db = 'testString' document = document_model content_type = 'application/json' batch = 'ok' # Invoke method response = _service.post_document( db, document, content_type=content_type, batch=batch, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_post_document_all_params_with_retries(self): # Enable retries and run test_post_document_all_params. _service.enable_retries() self.test_post_document_all_params() # Disable retries and run test_post_document_all_params. _service.disable_retries() self.test_post_document_all_params() @responses.activate def test_post_document_required_params(self): """ test_post_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Set up parameter values db = 'testString' document = document_model # Invoke method response = _service.post_document( db, document, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_post_document_required_params_with_retries(self): # Enable retries and run test_post_document_required_params. _service.enable_retries() self.test_post_document_required_params() # Disable retries and run test_post_document_required_params. _service.disable_retries() self.test_post_document_required_params() @responses.activate def test_post_document_value_error(self): """ test_post_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Set up parameter values db = 'testString' document = document_model # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "document": document, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_document(**req_copy) def test_post_document_value_error_with_retries(self): # Enable retries and run test_post_document_value_error. _service.enable_retries() self.test_post_document_value_error() # Disable retries and run test_post_document_value_error. _service.disable_retries() self.test_post_document_value_error() class TestPostAllDocs(): """ Test Class for post_all_docs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_all_docs_all_params(self): """ post_all_docs() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 0 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = 'testString' # Invoke method response = _service.post_all_docs( db, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, key=key, keys=keys, startkey=startkey, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 0 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['startkey'] == 'testString' def test_post_all_docs_all_params_with_retries(self): # Enable retries and run test_post_all_docs_all_params. _service.enable_retries() self.test_post_all_docs_all_params() # Disable retries and run test_post_all_docs_all_params. _service.disable_retries() self.test_post_all_docs_all_params() @responses.activate def test_post_all_docs_value_error(self): """ test_post_all_docs_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 0 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_all_docs(**req_copy) def test_post_all_docs_value_error_with_retries(self): # Enable retries and run test_post_all_docs_value_error. _service.enable_retries() self.test_post_all_docs_value_error() # Disable retries and run test_post_all_docs_value_error. _service.disable_retries() self.test_post_all_docs_value_error() class TestPostAllDocsAsStream(): """ Test Class for post_all_docs_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_all_docs_as_stream_all_params(self): """ post_all_docs_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Invoke method response = _service.post_all_docs_as_stream( db, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, key=key, keys=keys, startkey=startkey, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['startkey'] == '0007741142412418284' # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_all_docs_as_stream_all_params_with_retries(self): # Enable retries and run test_post_all_docs_as_stream_all_params. _service.enable_retries() self.test_post_all_docs_as_stream_all_params() # Disable retries and run test_post_all_docs_as_stream_all_params. _service.disable_retries() self.test_post_all_docs_as_stream_all_params() @responses.activate def test_post_all_docs_as_stream_value_error(self): """ test_post_all_docs_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_all_docs_as_stream(**req_copy) def test_post_all_docs_as_stream_value_error_with_retries(self): # Enable retries and run test_post_all_docs_as_stream_value_error. _service.enable_retries() self.test_post_all_docs_as_stream_value_error() # Disable retries and run test_post_all_docs_as_stream_value_error. _service.disable_retries() self.test_post_all_docs_as_stream_value_error() class TestPostAllDocsQueries(): """ Test Class for post_all_docs_queries """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_all_docs_queries_all_params(self): """ post_all_docs_queries() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs/queries') mock_response = '{"results": [{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['testString'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] # Invoke method response = _service.post_all_docs_queries( db, queries, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['queries'] == [all_docs_query_model] def test_post_all_docs_queries_all_params_with_retries(self): # Enable retries and run test_post_all_docs_queries_all_params. _service.enable_retries() self.test_post_all_docs_queries_all_params() # Disable retries and run test_post_all_docs_queries_all_params. _service.disable_retries() self.test_post_all_docs_queries_all_params() @responses.activate def test_post_all_docs_queries_value_error(self): """ test_post_all_docs_queries_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs/queries') mock_response = '{"results": [{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['testString'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "queries": queries, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_all_docs_queries(**req_copy) def test_post_all_docs_queries_value_error_with_retries(self): # Enable retries and run test_post_all_docs_queries_value_error. _service.enable_retries() self.test_post_all_docs_queries_value_error() # Disable retries and run test_post_all_docs_queries_value_error. _service.disable_retries() self.test_post_all_docs_queries_value_error() class TestPostAllDocsQueriesAsStream(): """ Test Class for post_all_docs_queries_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_all_docs_queries_as_stream_all_params(self): """ post_all_docs_queries_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs/queries') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['small-appliances:1000042', 'small-appliances:1000043'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] # Invoke method response = _service.post_all_docs_queries_as_stream( db, queries, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['queries'] == [all_docs_query_model] # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_all_docs_queries_as_stream_all_params_with_retries(self): # Enable retries and run test_post_all_docs_queries_as_stream_all_params. _service.enable_retries() self.test_post_all_docs_queries_as_stream_all_params() # Disable retries and run test_post_all_docs_queries_as_stream_all_params. _service.disable_retries() self.test_post_all_docs_queries_as_stream_all_params() @responses.activate def test_post_all_docs_queries_as_stream_value_error(self): """ test_post_all_docs_queries_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_all_docs/queries') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['small-appliances:1000042', 'small-appliances:1000043'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "queries": queries, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_all_docs_queries_as_stream(**req_copy) def test_post_all_docs_queries_as_stream_value_error_with_retries(self): # Enable retries and run test_post_all_docs_queries_as_stream_value_error. _service.enable_retries() self.test_post_all_docs_queries_as_stream_value_error() # Disable retries and run test_post_all_docs_queries_as_stream_value_error. _service.disable_retries() self.test_post_all_docs_queries_as_stream_value_error() class TestPostBulkDocs(): """ Test Class for post_bulk_docs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_bulk_docs_all_params(self): """ post_bulk_docs() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_docs') mock_response = '[{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a dict representation of a BulkDocs model bulk_docs_model = {} bulk_docs_model['docs'] = [document_model] bulk_docs_model['new_edits'] = True # Set up parameter values db = 'testString' bulk_docs = bulk_docs_model # Invoke method response = _service.post_bulk_docs( db, bulk_docs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body == bulk_docs def test_post_bulk_docs_all_params_with_retries(self): # Enable retries and run test_post_bulk_docs_all_params. _service.enable_retries() self.test_post_bulk_docs_all_params() # Disable retries and run test_post_bulk_docs_all_params. _service.disable_retries() self.test_post_bulk_docs_all_params() @responses.activate def test_post_bulk_docs_value_error(self): """ test_post_bulk_docs_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_docs') mock_response = '[{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a dict representation of a BulkDocs model bulk_docs_model = {} bulk_docs_model['docs'] = [document_model] bulk_docs_model['new_edits'] = True # Set up parameter values db = 'testString' bulk_docs = bulk_docs_model # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "bulk_docs": bulk_docs, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_bulk_docs(**req_copy) def test_post_bulk_docs_value_error_with_retries(self): # Enable retries and run test_post_bulk_docs_value_error. _service.enable_retries() self.test_post_bulk_docs_value_error() # Disable retries and run test_post_bulk_docs_value_error. _service.disable_retries() self.test_post_bulk_docs_value_error() class TestPostBulkGet(): """ Test Class for post_bulk_get """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_bulk_get_all_params(self): """ post_bulk_get() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = '{"results": [{"docs": [{"error": {"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}, "ok": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}}], "id": "id"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'testString' bulk_get_query_document_model['rev'] = 'testString' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] attachments = False att_encoding_info = False latest = False revs = False # Invoke method response = _service.post_bulk_get( db, docs, attachments=attachments, att_encoding_info=att_encoding_info, latest=latest, revs=revs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] def test_post_bulk_get_all_params_with_retries(self): # Enable retries and run test_post_bulk_get_all_params. _service.enable_retries() self.test_post_bulk_get_all_params() # Disable retries and run test_post_bulk_get_all_params. _service.disable_retries() self.test_post_bulk_get_all_params() @responses.activate def test_post_bulk_get_required_params(self): """ test_post_bulk_get_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = '{"results": [{"docs": [{"error": {"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}, "ok": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}}], "id": "id"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'testString' bulk_get_query_document_model['rev'] = 'testString' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Invoke method response = _service.post_bulk_get( db, docs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] def test_post_bulk_get_required_params_with_retries(self): # Enable retries and run test_post_bulk_get_required_params. _service.enable_retries() self.test_post_bulk_get_required_params() # Disable retries and run test_post_bulk_get_required_params. _service.disable_retries() self.test_post_bulk_get_required_params() @responses.activate def test_post_bulk_get_value_error(self): """ test_post_bulk_get_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = '{"results": [{"docs": [{"error": {"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}, "ok": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}}], "id": "id"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'testString' bulk_get_query_document_model['rev'] = 'testString' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "docs": docs, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_bulk_get(**req_copy) def test_post_bulk_get_value_error_with_retries(self): # Enable retries and run test_post_bulk_get_value_error. _service.enable_retries() self.test_post_bulk_get_value_error() # Disable retries and run test_post_bulk_get_value_error. _service.disable_retries() self.test_post_bulk_get_value_error() class TestPostBulkGetAsMixed(): """ Test Class for post_bulk_get_as_mixed """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_bulk_get_as_mixed_all_params(self): """ post_bulk_get_as_mixed() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = 'This is a mock binary response.' responses.add(responses.POST, url, body=mock_response, content_type='multipart/mixed', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] attachments = False att_encoding_info = False latest = False revs = False # Invoke method response = _service.post_bulk_get_as_mixed( db, docs, attachments=attachments, att_encoding_info=att_encoding_info, latest=latest, revs=revs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] def test_post_bulk_get_as_mixed_all_params_with_retries(self): # Enable retries and run test_post_bulk_get_as_mixed_all_params. _service.enable_retries() self.test_post_bulk_get_as_mixed_all_params() # Disable retries and run test_post_bulk_get_as_mixed_all_params. _service.disable_retries() self.test_post_bulk_get_as_mixed_all_params() @responses.activate def test_post_bulk_get_as_mixed_required_params(self): """ test_post_bulk_get_as_mixed_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = 'This is a mock binary response.' responses.add(responses.POST, url, body=mock_response, content_type='multipart/mixed', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Invoke method response = _service.post_bulk_get_as_mixed( db, docs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] def test_post_bulk_get_as_mixed_required_params_with_retries(self): # Enable retries and run test_post_bulk_get_as_mixed_required_params. _service.enable_retries() self.test_post_bulk_get_as_mixed_required_params() # Disable retries and run test_post_bulk_get_as_mixed_required_params. _service.disable_retries() self.test_post_bulk_get_as_mixed_required_params() @responses.activate def test_post_bulk_get_as_mixed_value_error(self): """ test_post_bulk_get_as_mixed_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = 'This is a mock binary response.' responses.add(responses.POST, url, body=mock_response, content_type='multipart/mixed', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "docs": docs, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_bulk_get_as_mixed(**req_copy) def test_post_bulk_get_as_mixed_value_error_with_retries(self): # Enable retries and run test_post_bulk_get_as_mixed_value_error. _service.enable_retries() self.test_post_bulk_get_as_mixed_value_error() # Disable retries and run test_post_bulk_get_as_mixed_value_error. _service.disable_retries() self.test_post_bulk_get_as_mixed_value_error() class TestPostBulkGetAsRelated(): """ Test Class for post_bulk_get_as_related """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_bulk_get_as_related_all_params(self): """ post_bulk_get_as_related() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = 'This is a mock binary response.' responses.add(responses.POST, url, body=mock_response, content_type='multipart/related', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] attachments = False att_encoding_info = False latest = False revs = False # Invoke method response = _service.post_bulk_get_as_related( db, docs, attachments=attachments, att_encoding_info=att_encoding_info, latest=latest, revs=revs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] def test_post_bulk_get_as_related_all_params_with_retries(self): # Enable retries and run test_post_bulk_get_as_related_all_params. _service.enable_retries() self.test_post_bulk_get_as_related_all_params() # Disable retries and run test_post_bulk_get_as_related_all_params. _service.disable_retries() self.test_post_bulk_get_as_related_all_params() @responses.activate def test_post_bulk_get_as_related_required_params(self): """ test_post_bulk_get_as_related_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = 'This is a mock binary response.' responses.add(responses.POST, url, body=mock_response, content_type='multipart/related', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Invoke method response = _service.post_bulk_get_as_related( db, docs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] def test_post_bulk_get_as_related_required_params_with_retries(self): # Enable retries and run test_post_bulk_get_as_related_required_params. _service.enable_retries() self.test_post_bulk_get_as_related_required_params() # Disable retries and run test_post_bulk_get_as_related_required_params. _service.disable_retries() self.test_post_bulk_get_as_related_required_params() @responses.activate def test_post_bulk_get_as_related_value_error(self): """ test_post_bulk_get_as_related_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = 'This is a mock binary response.' responses.add(responses.POST, url, body=mock_response, content_type='multipart/related', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "docs": docs, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_bulk_get_as_related(**req_copy) def test_post_bulk_get_as_related_value_error_with_retries(self): # Enable retries and run test_post_bulk_get_as_related_value_error. _service.enable_retries() self.test_post_bulk_get_as_related_value_error() # Disable retries and run test_post_bulk_get_as_related_value_error. _service.disable_retries() self.test_post_bulk_get_as_related_value_error() class TestPostBulkGetAsStream(): """ Test Class for post_bulk_get_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_bulk_get_as_stream_all_params(self): """ post_bulk_get_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] attachments = False att_encoding_info = False latest = False revs = False # Invoke method response = _service.post_bulk_get_as_stream( db, docs, attachments=attachments, att_encoding_info=att_encoding_info, latest=latest, revs=revs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_bulk_get_as_stream_all_params_with_retries(self): # Enable retries and run test_post_bulk_get_as_stream_all_params. _service.enable_retries() self.test_post_bulk_get_as_stream_all_params() # Disable retries and run test_post_bulk_get_as_stream_all_params. _service.disable_retries() self.test_post_bulk_get_as_stream_all_params() @responses.activate def test_post_bulk_get_as_stream_required_params(self): """ test_post_bulk_get_as_stream_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Invoke method response = _service.post_bulk_get_as_stream( db, docs, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['docs'] == [bulk_get_query_document_model] # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_bulk_get_as_stream_required_params_with_retries(self): # Enable retries and run test_post_bulk_get_as_stream_required_params. _service.enable_retries() self.test_post_bulk_get_as_stream_required_params() # Disable retries and run test_post_bulk_get_as_stream_required_params. _service.disable_retries() self.test_post_bulk_get_as_stream_required_params() @responses.activate def test_post_bulk_get_as_stream_value_error(self): """ test_post_bulk_get_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_bulk_get') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a BulkGetQueryDocument model bulk_get_query_document_model = {} bulk_get_query_document_model['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model['id'] = 'order00067' bulk_get_query_document_model['rev'] = '3-917fa2381192822767f010b95b45325b' # Set up parameter values db = 'testString' docs = [bulk_get_query_document_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "docs": docs, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_bulk_get_as_stream(**req_copy) def test_post_bulk_get_as_stream_value_error_with_retries(self): # Enable retries and run test_post_bulk_get_as_stream_value_error. _service.enable_retries() self.test_post_bulk_get_as_stream_value_error() # Disable retries and run test_post_bulk_get_as_stream_value_error. _service.disable_retries() self.test_post_bulk_get_as_stream_value_error() class TestDeleteDocument(): """ Test Class for delete_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_document_all_params(self): """ delete_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_match = 'testString' batch = 'ok' rev = 'testString' # Invoke method response = _service.delete_document( db, doc_id, if_match=if_match, batch=batch, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string assert 'rev={}'.format(rev) in query_string def test_delete_document_all_params_with_retries(self): # Enable retries and run test_delete_document_all_params. _service.enable_retries() self.test_delete_document_all_params() # Disable retries and run test_delete_document_all_params. _service.disable_retries() self.test_delete_document_all_params() @responses.activate def test_delete_document_required_params(self): """ test_delete_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.delete_document( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_delete_document_required_params_with_retries(self): # Enable retries and run test_delete_document_required_params. _service.enable_retries() self.test_delete_document_required_params() # Disable retries and run test_delete_document_required_params. _service.disable_retries() self.test_delete_document_required_params() @responses.activate def test_delete_document_value_error(self): """ test_delete_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_document(**req_copy) def test_delete_document_value_error_with_retries(self): # Enable retries and run test_delete_document_value_error. _service.enable_retries() self.test_delete_document_value_error() # Disable retries and run test_delete_document_value_error. _service.disable_retries() self.test_delete_document_value_error() class TestGetDocument(): """ Test Class for get_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_document_all_params(self): """ get_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_none_match = 'testString' attachments = False att_encoding_info = False conflicts = False deleted_conflicts = False latest = False local_seq = False meta = False rev = 'testString' revs = False revs_info = False # Invoke method response = _service.get_document( db, doc_id, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, conflicts=conflicts, deleted_conflicts=deleted_conflicts, latest=latest, local_seq=local_seq, meta=meta, rev=rev, revs=revs, revs_info=revs_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'deleted_conflicts={}'.format('true' if deleted_conflicts else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string assert 'meta={}'.format('true' if meta else 'false') in query_string assert 'rev={}'.format(rev) in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string assert 'revs_info={}'.format('true' if revs_info else 'false') in query_string def test_get_document_all_params_with_retries(self): # Enable retries and run test_get_document_all_params. _service.enable_retries() self.test_get_document_all_params() # Disable retries and run test_get_document_all_params. _service.disable_retries() self.test_get_document_all_params() @responses.activate def test_get_document_required_params(self): """ test_get_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.get_document( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_document_required_params_with_retries(self): # Enable retries and run test_get_document_required_params. _service.enable_retries() self.test_get_document_required_params() # Disable retries and run test_get_document_required_params. _service.disable_retries() self.test_get_document_required_params() @responses.activate def test_get_document_value_error(self): """ test_get_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_document(**req_copy) def test_get_document_value_error_with_retries(self): # Enable retries and run test_get_document_value_error. _service.enable_retries() self.test_get_document_value_error() # Disable retries and run test_get_document_value_error. _service.disable_retries() self.test_get_document_value_error() class TestGetDocumentAsMixed(): """ Test Class for get_document_as_mixed """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_document_as_mixed_all_params(self): """ get_document_as_mixed() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='multipart/mixed', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_none_match = 'testString' attachments = False att_encoding_info = False conflicts = False deleted_conflicts = False latest = False local_seq = False meta = False rev = 'testString' revs = False revs_info = False # Invoke method response = _service.get_document_as_mixed( db, doc_id, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, conflicts=conflicts, deleted_conflicts=deleted_conflicts, latest=latest, local_seq=local_seq, meta=meta, rev=rev, revs=revs, revs_info=revs_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'deleted_conflicts={}'.format('true' if deleted_conflicts else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string assert 'meta={}'.format('true' if meta else 'false') in query_string assert 'rev={}'.format(rev) in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string assert 'revs_info={}'.format('true' if revs_info else 'false') in query_string def test_get_document_as_mixed_all_params_with_retries(self): # Enable retries and run test_get_document_as_mixed_all_params. _service.enable_retries() self.test_get_document_as_mixed_all_params() # Disable retries and run test_get_document_as_mixed_all_params. _service.disable_retries() self.test_get_document_as_mixed_all_params() @responses.activate def test_get_document_as_mixed_required_params(self): """ test_get_document_as_mixed_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='multipart/mixed', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.get_document_as_mixed( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_document_as_mixed_required_params_with_retries(self): # Enable retries and run test_get_document_as_mixed_required_params. _service.enable_retries() self.test_get_document_as_mixed_required_params() # Disable retries and run test_get_document_as_mixed_required_params. _service.disable_retries() self.test_get_document_as_mixed_required_params() @responses.activate def test_get_document_as_mixed_value_error(self): """ test_get_document_as_mixed_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='multipart/mixed', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_document_as_mixed(**req_copy) def test_get_document_as_mixed_value_error_with_retries(self): # Enable retries and run test_get_document_as_mixed_value_error. _service.enable_retries() self.test_get_document_as_mixed_value_error() # Disable retries and run test_get_document_as_mixed_value_error. _service.disable_retries() self.test_get_document_as_mixed_value_error() class TestGetDocumentAsRelated(): """ Test Class for get_document_as_related """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_document_as_related_all_params(self): """ get_document_as_related() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='multipart/related', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_none_match = 'testString' attachments = False att_encoding_info = False conflicts = False deleted_conflicts = False latest = False local_seq = False meta = False rev = 'testString' revs = False revs_info = False # Invoke method response = _service.get_document_as_related( db, doc_id, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, conflicts=conflicts, deleted_conflicts=deleted_conflicts, latest=latest, local_seq=local_seq, meta=meta, rev=rev, revs=revs, revs_info=revs_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'deleted_conflicts={}'.format('true' if deleted_conflicts else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string assert 'meta={}'.format('true' if meta else 'false') in query_string assert 'rev={}'.format(rev) in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string assert 'revs_info={}'.format('true' if revs_info else 'false') in query_string def test_get_document_as_related_all_params_with_retries(self): # Enable retries and run test_get_document_as_related_all_params. _service.enable_retries() self.test_get_document_as_related_all_params() # Disable retries and run test_get_document_as_related_all_params. _service.disable_retries() self.test_get_document_as_related_all_params() @responses.activate def test_get_document_as_related_required_params(self): """ test_get_document_as_related_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='multipart/related', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.get_document_as_related( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_document_as_related_required_params_with_retries(self): # Enable retries and run test_get_document_as_related_required_params. _service.enable_retries() self.test_get_document_as_related_required_params() # Disable retries and run test_get_document_as_related_required_params. _service.disable_retries() self.test_get_document_as_related_required_params() @responses.activate def test_get_document_as_related_value_error(self): """ test_get_document_as_related_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='multipart/related', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_document_as_related(**req_copy) def test_get_document_as_related_value_error_with_retries(self): # Enable retries and run test_get_document_as_related_value_error. _service.enable_retries() self.test_get_document_as_related_value_error() # Disable retries and run test_get_document_as_related_value_error. _service.disable_retries() self.test_get_document_as_related_value_error() class TestGetDocumentAsStream(): """ Test Class for get_document_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_document_as_stream_all_params(self): """ get_document_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_none_match = 'testString' attachments = False att_encoding_info = False conflicts = False deleted_conflicts = False latest = False local_seq = False meta = False rev = 'testString' revs = False revs_info = False # Invoke method response = _service.get_document_as_stream( db, doc_id, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, conflicts=conflicts, deleted_conflicts=deleted_conflicts, latest=latest, local_seq=local_seq, meta=meta, rev=rev, revs=revs, revs_info=revs_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'deleted_conflicts={}'.format('true' if deleted_conflicts else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string assert 'meta={}'.format('true' if meta else 'false') in query_string assert 'rev={}'.format(rev) in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string assert 'revs_info={}'.format('true' if revs_info else 'false') in query_string # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_get_document_as_stream_all_params_with_retries(self): # Enable retries and run test_get_document_as_stream_all_params. _service.enable_retries() self.test_get_document_as_stream_all_params() # Disable retries and run test_get_document_as_stream_all_params. _service.disable_retries() self.test_get_document_as_stream_all_params() @responses.activate def test_get_document_as_stream_required_params(self): """ test_get_document_as_stream_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.get_document_as_stream( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_get_document_as_stream_required_params_with_retries(self): # Enable retries and run test_get_document_as_stream_required_params. _service.enable_retries() self.test_get_document_as_stream_required_params() # Disable retries and run test_get_document_as_stream_required_params. _service.disable_retries() self.test_get_document_as_stream_required_params() @responses.activate def test_get_document_as_stream_value_error(self): """ test_get_document_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_document_as_stream(**req_copy) def test_get_document_as_stream_value_error_with_retries(self): # Enable retries and run test_get_document_as_stream_value_error. _service.enable_retries() self.test_get_document_as_stream_value_error() # Disable retries and run test_get_document_as_stream_value_error. _service.disable_retries() self.test_get_document_as_stream_value_error() class TestPutDocument(): """ Test Class for put_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_document_all_params(self): """ put_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'exampleid' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['brand'] = 'Foo' document_model['colours'] = '["red","green","black","blue"]' document_model['description'] = 'Slim Colourful Design Electronic Cooking Appliance for ...' document_model['image'] = 'assets/img/0gmsnghhew.jpg' document_model['keywords'] = '["Foo","Scales","Weight","Digital","Kitchen"]' document_model['name'] = 'Digital Kitchen Scales' document_model['price'] = '14.99' document_model['productid'] = '1000042' document_model['taxonomy'] = '["Home","Kitchen","Small Appliances"]' document_model['type'] = 'product' # Set up parameter values db = 'testString' doc_id = 'testString' document = document_model content_type = 'application/json' if_match = 'testString' batch = 'ok' new_edits = False rev = 'testString' # Invoke method response = _service.put_document( db, doc_id, document, content_type=content_type, if_match=if_match, batch=batch, new_edits=new_edits, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string assert 'new_edits={}'.format('true' if new_edits else 'false') in query_string assert 'rev={}'.format(rev) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_put_document_all_params_with_retries(self): # Enable retries and run test_put_document_all_params. _service.enable_retries() self.test_put_document_all_params() # Disable retries and run test_put_document_all_params. _service.disable_retries() self.test_put_document_all_params() @responses.activate def test_put_document_required_params(self): """ test_put_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'exampleid' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['brand'] = 'Foo' document_model['colours'] = '["red","green","black","blue"]' document_model['description'] = 'Slim Colourful Design Electronic Cooking Appliance for ...' document_model['image'] = 'assets/img/0gmsnghhew.jpg' document_model['keywords'] = '["Foo","Scales","Weight","Digital","Kitchen"]' document_model['name'] = 'Digital Kitchen Scales' document_model['price'] = '14.99' document_model['productid'] = '1000042' document_model['taxonomy'] = '["Home","Kitchen","Small Appliances"]' document_model['type'] = 'product' # Set up parameter values db = 'testString' doc_id = 'testString' document = document_model # Invoke method response = _service.put_document( db, doc_id, document, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_put_document_required_params_with_retries(self): # Enable retries and run test_put_document_required_params. _service.enable_retries() self.test_put_document_required_params() # Disable retries and run test_put_document_required_params. _service.disable_retries() self.test_put_document_required_params() @responses.activate def test_put_document_value_error(self): """ test_put_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'exampleid' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['brand'] = 'Foo' document_model['colours'] = '["red","green","black","blue"]' document_model['description'] = 'Slim Colourful Design Electronic Cooking Appliance for ...' document_model['image'] = 'assets/img/0gmsnghhew.jpg' document_model['keywords'] = '["Foo","Scales","Weight","Digital","Kitchen"]' document_model['name'] = 'Digital Kitchen Scales' document_model['price'] = '14.99' document_model['productid'] = '1000042' document_model['taxonomy'] = '["Home","Kitchen","Small Appliances"]' document_model['type'] = 'product' # Set up parameter values db = 'testString' doc_id = 'testString' document = document_model # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, "document": document, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_document(**req_copy) def test_put_document_value_error_with_retries(self): # Enable retries and run test_put_document_value_error. _service.enable_retries() self.test_put_document_value_error() # Disable retries and run test_put_document_value_error. _service.disable_retries() self.test_put_document_value_error() # endregion ############################################################################## # End of Service: Documents ############################################################################## ############################################################################## # Start of Service: DesignDocuments ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadDesignDocument(): """ Test Class for head_design_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_design_document_all_params(self): """ head_design_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' ddoc = 'testString' if_none_match = 'testString' # Invoke method response = _service.head_design_document( db, ddoc, if_none_match=if_none_match, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_design_document_all_params_with_retries(self): # Enable retries and run test_head_design_document_all_params. _service.enable_retries() self.test_head_design_document_all_params() # Disable retries and run test_head_design_document_all_params. _service.disable_retries() self.test_head_design_document_all_params() @responses.activate def test_head_design_document_required_params(self): """ test_head_design_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Invoke method response = _service.head_design_document( db, ddoc, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_design_document_required_params_with_retries(self): # Enable retries and run test_head_design_document_required_params. _service.enable_retries() self.test_head_design_document_required_params() # Disable retries and run test_head_design_document_required_params. _service.disable_retries() self.test_head_design_document_required_params() @responses.activate def test_head_design_document_value_error(self): """ test_head_design_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_design_document(**req_copy) def test_head_design_document_value_error_with_retries(self): # Enable retries and run test_head_design_document_value_error. _service.enable_retries() self.test_head_design_document_value_error() # Disable retries and run test_head_design_document_value_error. _service.disable_retries() self.test_head_design_document_value_error() class TestDeleteDesignDocument(): """ Test Class for delete_design_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_design_document_all_params(self): """ delete_design_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' if_match = 'testString' batch = 'ok' rev = 'testString' # Invoke method response = _service.delete_design_document( db, ddoc, if_match=if_match, batch=batch, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string assert 'rev={}'.format(rev) in query_string def test_delete_design_document_all_params_with_retries(self): # Enable retries and run test_delete_design_document_all_params. _service.enable_retries() self.test_delete_design_document_all_params() # Disable retries and run test_delete_design_document_all_params. _service.disable_retries() self.test_delete_design_document_all_params() @responses.activate def test_delete_design_document_required_params(self): """ test_delete_design_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Invoke method response = _service.delete_design_document( db, ddoc, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_delete_design_document_required_params_with_retries(self): # Enable retries and run test_delete_design_document_required_params. _service.enable_retries() self.test_delete_design_document_required_params() # Disable retries and run test_delete_design_document_required_params. _service.disable_retries() self.test_delete_design_document_required_params() @responses.activate def test_delete_design_document_value_error(self): """ test_delete_design_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_design_document(**req_copy) def test_delete_design_document_value_error_with_retries(self): # Enable retries and run test_delete_design_document_value_error. _service.enable_retries() self.test_delete_design_document_value_error() # Disable retries and run test_delete_design_document_value_error. _service.disable_retries() self.test_delete_design_document_value_error() class TestGetDesignDocument(): """ Test Class for get_design_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_design_document_all_params(self): """ get_design_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}], "autoupdate": true, "filters": {"mapKey": "inner"}, "indexes": {"mapKey": {"analyzer": {"name": "classic", "stopwords": ["stopwords"], "fields": {"mapKey": {"name": "classic", "stopwords": ["stopwords"]}}}, "index": "index"}}, "language": "javascript", "options": {"partitioned": false}, "validate_doc_update": "validate_doc_update", "views": {"mapKey": {"map": "map", "reduce": "reduce"}}, "st_indexes": {"mapKey": {"index": "index"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' if_none_match = 'testString' attachments = False att_encoding_info = False conflicts = False deleted_conflicts = False latest = False local_seq = False meta = False rev = 'testString' revs = False revs_info = False # Invoke method response = _service.get_design_document( db, ddoc, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, conflicts=conflicts, deleted_conflicts=deleted_conflicts, latest=latest, local_seq=local_seq, meta=meta, rev=rev, revs=revs, revs_info=revs_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'deleted_conflicts={}'.format('true' if deleted_conflicts else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string assert 'meta={}'.format('true' if meta else 'false') in query_string assert 'rev={}'.format(rev) in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string assert 'revs_info={}'.format('true' if revs_info else 'false') in query_string def test_get_design_document_all_params_with_retries(self): # Enable retries and run test_get_design_document_all_params. _service.enable_retries() self.test_get_design_document_all_params() # Disable retries and run test_get_design_document_all_params. _service.disable_retries() self.test_get_design_document_all_params() @responses.activate def test_get_design_document_required_params(self): """ test_get_design_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}], "autoupdate": true, "filters": {"mapKey": "inner"}, "indexes": {"mapKey": {"analyzer": {"name": "classic", "stopwords": ["stopwords"], "fields": {"mapKey": {"name": "classic", "stopwords": ["stopwords"]}}}, "index": "index"}}, "language": "javascript", "options": {"partitioned": false}, "validate_doc_update": "validate_doc_update", "views": {"mapKey": {"map": "map", "reduce": "reduce"}}, "st_indexes": {"mapKey": {"index": "index"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Invoke method response = _service.get_design_document( db, ddoc, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_design_document_required_params_with_retries(self): # Enable retries and run test_get_design_document_required_params. _service.enable_retries() self.test_get_design_document_required_params() # Disable retries and run test_get_design_document_required_params. _service.disable_retries() self.test_get_design_document_required_params() @responses.activate def test_get_design_document_value_error(self): """ test_get_design_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}], "autoupdate": true, "filters": {"mapKey": "inner"}, "indexes": {"mapKey": {"analyzer": {"name": "classic", "stopwords": ["stopwords"], "fields": {"mapKey": {"name": "classic", "stopwords": ["stopwords"]}}}, "index": "index"}}, "language": "javascript", "options": {"partitioned": false}, "validate_doc_update": "validate_doc_update", "views": {"mapKey": {"map": "map", "reduce": "reduce"}}, "st_indexes": {"mapKey": {"index": "index"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_design_document(**req_copy) def test_get_design_document_value_error_with_retries(self): # Enable retries and run test_get_design_document_value_error. _service.enable_retries() self.test_get_design_document_value_error() # Disable retries and run test_get_design_document_value_error. _service.disable_retries() self.test_get_design_document_value_error() class TestPutDesignDocument(): """ Test Class for put_design_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_design_document_all_params(self): """ put_design_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Analyzer model analyzer_model = {} analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a dict representation of a AnalyzerConfiguration model analyzer_configuration_model = {} analyzer_configuration_model['name'] = 'classic' analyzer_configuration_model['stopwords'] = ['testString'] analyzer_configuration_model['fields'] = {} # Construct a dict representation of a SearchIndexDefinition model search_index_definition_model = {} search_index_definition_model['analyzer'] = analyzer_configuration_model search_index_definition_model['index'] = 'testString' # Construct a dict representation of a DesignDocumentOptions model design_document_options_model = {} design_document_options_model['partitioned'] = True # Construct a dict representation of a DesignDocumentViewsMapReduce model design_document_views_map_reduce_model = {} design_document_views_map_reduce_model['map'] = 'testString' design_document_views_map_reduce_model['reduce'] = 'testString' # Construct a dict representation of a GeoIndexDefinition model geo_index_definition_model = {} geo_index_definition_model['index'] = 'testString' # Construct a dict representation of a DesignDocument model design_document_model = {} design_document_model['_attachments'] = {} design_document_model['_conflicts'] = ['testString'] design_document_model['_deleted'] = True design_document_model['_deleted_conflicts'] = ['testString'] design_document_model['_id'] = 'testString' design_document_model['_local_seq'] = 'testString' design_document_model['_rev'] = 'testString' design_document_model['_revisions'] = revisions_model design_document_model['_revs_info'] = [document_revision_status_model] design_document_model['autoupdate'] = True design_document_model['filters'] = {} design_document_model['indexes'] = {} design_document_model['language'] = 'javascript' design_document_model['options'] = design_document_options_model design_document_model['validate_doc_update'] = 'testString' design_document_model['views'] = {} design_document_model['st_indexes'] = {} design_document_model['foo'] = 'testString' # Set up parameter values db = 'testString' ddoc = 'testString' design_document = design_document_model if_match = 'testString' batch = 'ok' new_edits = False rev = 'testString' # Invoke method response = _service.put_design_document( db, ddoc, design_document, if_match=if_match, batch=batch, new_edits=new_edits, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string assert 'new_edits={}'.format('true' if new_edits else 'false') in query_string assert 'rev={}'.format(rev) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body == design_document def test_put_design_document_all_params_with_retries(self): # Enable retries and run test_put_design_document_all_params. _service.enable_retries() self.test_put_design_document_all_params() # Disable retries and run test_put_design_document_all_params. _service.disable_retries() self.test_put_design_document_all_params() @responses.activate def test_put_design_document_required_params(self): """ test_put_design_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Analyzer model analyzer_model = {} analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a dict representation of a AnalyzerConfiguration model analyzer_configuration_model = {} analyzer_configuration_model['name'] = 'classic' analyzer_configuration_model['stopwords'] = ['testString'] analyzer_configuration_model['fields'] = {} # Construct a dict representation of a SearchIndexDefinition model search_index_definition_model = {} search_index_definition_model['analyzer'] = analyzer_configuration_model search_index_definition_model['index'] = 'testString' # Construct a dict representation of a DesignDocumentOptions model design_document_options_model = {} design_document_options_model['partitioned'] = True # Construct a dict representation of a DesignDocumentViewsMapReduce model design_document_views_map_reduce_model = {} design_document_views_map_reduce_model['map'] = 'testString' design_document_views_map_reduce_model['reduce'] = 'testString' # Construct a dict representation of a GeoIndexDefinition model geo_index_definition_model = {} geo_index_definition_model['index'] = 'testString' # Construct a dict representation of a DesignDocument model design_document_model = {} design_document_model['_attachments'] = {} design_document_model['_conflicts'] = ['testString'] design_document_model['_deleted'] = True design_document_model['_deleted_conflicts'] = ['testString'] design_document_model['_id'] = 'testString' design_document_model['_local_seq'] = 'testString' design_document_model['_rev'] = 'testString' design_document_model['_revisions'] = revisions_model design_document_model['_revs_info'] = [document_revision_status_model] design_document_model['autoupdate'] = True design_document_model['filters'] = {} design_document_model['indexes'] = {} design_document_model['language'] = 'javascript' design_document_model['options'] = design_document_options_model design_document_model['validate_doc_update'] = 'testString' design_document_model['views'] = {} design_document_model['st_indexes'] = {} design_document_model['foo'] = 'testString' # Set up parameter values db = 'testString' ddoc = 'testString' design_document = design_document_model # Invoke method response = _service.put_design_document( db, ddoc, design_document, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body == design_document def test_put_design_document_required_params_with_retries(self): # Enable retries and run test_put_design_document_required_params. _service.enable_retries() self.test_put_design_document_required_params() # Disable retries and run test_put_design_document_required_params. _service.disable_retries() self.test_put_design_document_required_params() @responses.activate def test_put_design_document_value_error(self): """ test_put_design_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Analyzer model analyzer_model = {} analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a dict representation of a AnalyzerConfiguration model analyzer_configuration_model = {} analyzer_configuration_model['name'] = 'classic' analyzer_configuration_model['stopwords'] = ['testString'] analyzer_configuration_model['fields'] = {} # Construct a dict representation of a SearchIndexDefinition model search_index_definition_model = {} search_index_definition_model['analyzer'] = analyzer_configuration_model search_index_definition_model['index'] = 'testString' # Construct a dict representation of a DesignDocumentOptions model design_document_options_model = {} design_document_options_model['partitioned'] = True # Construct a dict representation of a DesignDocumentViewsMapReduce model design_document_views_map_reduce_model = {} design_document_views_map_reduce_model['map'] = 'testString' design_document_views_map_reduce_model['reduce'] = 'testString' # Construct a dict representation of a GeoIndexDefinition model geo_index_definition_model = {} geo_index_definition_model['index'] = 'testString' # Construct a dict representation of a DesignDocument model design_document_model = {} design_document_model['_attachments'] = {} design_document_model['_conflicts'] = ['testString'] design_document_model['_deleted'] = True design_document_model['_deleted_conflicts'] = ['testString'] design_document_model['_id'] = 'testString' design_document_model['_local_seq'] = 'testString' design_document_model['_rev'] = 'testString' design_document_model['_revisions'] = revisions_model design_document_model['_revs_info'] = [document_revision_status_model] design_document_model['autoupdate'] = True design_document_model['filters'] = {} design_document_model['indexes'] = {} design_document_model['language'] = 'javascript' design_document_model['options'] = design_document_options_model design_document_model['validate_doc_update'] = 'testString' design_document_model['views'] = {} design_document_model['st_indexes'] = {} design_document_model['foo'] = 'testString' # Set up parameter values db = 'testString' ddoc = 'testString' design_document = design_document_model # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "design_document": design_document, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_design_document(**req_copy) def test_put_design_document_value_error_with_retries(self): # Enable retries and run test_put_design_document_value_error. _service.enable_retries() self.test_put_design_document_value_error() # Disable retries and run test_put_design_document_value_error. _service.disable_retries() self.test_put_design_document_value_error() class TestGetDesignDocumentInformation(): """ Test Class for get_design_document_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_design_document_information_all_params(self): """ get_design_document_information() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_info') mock_response = '{"name": "name", "view_index": {"compact_running": false, "language": "language", "signature": "signature", "sizes": {"active": 6, "external": 8, "file": 4}, "updater_running": false, "waiting_clients": 0, "waiting_commit": true}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Invoke method response = _service.get_design_document_information( db, ddoc, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_design_document_information_all_params_with_retries(self): # Enable retries and run test_get_design_document_information_all_params. _service.enable_retries() self.test_get_design_document_information_all_params() # Disable retries and run test_get_design_document_information_all_params. _service.disable_retries() self.test_get_design_document_information_all_params() @responses.activate def test_get_design_document_information_value_error(self): """ test_get_design_document_information_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_info') mock_response = '{"name": "name", "view_index": {"compact_running": false, "language": "language", "signature": "signature", "sizes": {"active": 6, "external": 8, "file": 4}, "updater_running": false, "waiting_clients": 0, "waiting_commit": true}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_design_document_information(**req_copy) def test_get_design_document_information_value_error_with_retries(self): # Enable retries and run test_get_design_document_information_value_error. _service.enable_retries() self.test_get_design_document_information_value_error() # Disable retries and run test_get_design_document_information_value_error. _service.disable_retries() self.test_get_design_document_information_value_error() class TestPostDesignDocs(): """ Test Class for post_design_docs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_design_docs_all_params(self): """ post_design_docs() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' accept = 'application/json' # Invoke method response = _service.post_design_docs( db, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, key=key, keys=keys, startkey=startkey, accept=accept, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['startkey'] == '0007741142412418284' def test_post_design_docs_all_params_with_retries(self): # Enable retries and run test_post_design_docs_all_params. _service.enable_retries() self.test_post_design_docs_all_params() # Disable retries and run test_post_design_docs_all_params. _service.disable_retries() self.test_post_design_docs_all_params() @responses.activate def test_post_design_docs_required_params(self): """ test_post_design_docs_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Invoke method response = _service.post_design_docs( db, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, key=key, keys=keys, startkey=startkey, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['startkey'] == '0007741142412418284' def test_post_design_docs_required_params_with_retries(self): # Enable retries and run test_post_design_docs_required_params. _service.enable_retries() self.test_post_design_docs_required_params() # Disable retries and run test_post_design_docs_required_params. _service.disable_retries() self.test_post_design_docs_required_params() @responses.activate def test_post_design_docs_value_error(self): """ test_post_design_docs_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_design_docs(**req_copy) def test_post_design_docs_value_error_with_retries(self): # Enable retries and run test_post_design_docs_value_error. _service.enable_retries() self.test_post_design_docs_value_error() # Disable retries and run test_post_design_docs_value_error. _service.disable_retries() self.test_post_design_docs_value_error() class TestPostDesignDocsQueries(): """ Test Class for post_design_docs_queries """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_design_docs_queries_all_params(self): """ post_design_docs_queries() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design_docs/queries') mock_response = '{"results": [{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['small-appliances:1000042', 'small-appliances:1000043'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] accept = 'application/json' # Invoke method response = _service.post_design_docs_queries( db, queries, accept=accept, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['queries'] == [all_docs_query_model] def test_post_design_docs_queries_all_params_with_retries(self): # Enable retries and run test_post_design_docs_queries_all_params. _service.enable_retries() self.test_post_design_docs_queries_all_params() # Disable retries and run test_post_design_docs_queries_all_params. _service.disable_retries() self.test_post_design_docs_queries_all_params() @responses.activate def test_post_design_docs_queries_required_params(self): """ test_post_design_docs_queries_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design_docs/queries') mock_response = '{"results": [{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['small-appliances:1000042', 'small-appliances:1000043'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] # Invoke method response = _service.post_design_docs_queries( db, queries, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['queries'] == [all_docs_query_model] def test_post_design_docs_queries_required_params_with_retries(self): # Enable retries and run test_post_design_docs_queries_required_params. _service.enable_retries() self.test_post_design_docs_queries_required_params() # Disable retries and run test_post_design_docs_queries_required_params. _service.disable_retries() self.test_post_design_docs_queries_required_params() @responses.activate def test_post_design_docs_queries_value_error(self): """ test_post_design_docs_queries_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design_docs/queries') mock_response = '{"results": [{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a AllDocsQuery model all_docs_query_model = {} all_docs_query_model['att_encoding_info'] = False all_docs_query_model['attachments'] = False all_docs_query_model['conflicts'] = False all_docs_query_model['descending'] = False all_docs_query_model['include_docs'] = False all_docs_query_model['inclusive_end'] = True all_docs_query_model['limit'] = 0 all_docs_query_model['skip'] = 0 all_docs_query_model['update_seq'] = False all_docs_query_model['endkey'] = 'testString' all_docs_query_model['key'] = 'testString' all_docs_query_model['keys'] = ['small-appliances:1000042', 'small-appliances:1000043'] all_docs_query_model['startkey'] = 'testString' # Set up parameter values db = 'testString' queries = [all_docs_query_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "queries": queries, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_design_docs_queries(**req_copy) def test_post_design_docs_queries_value_error_with_retries(self): # Enable retries and run test_post_design_docs_queries_value_error. _service.enable_retries() self.test_post_design_docs_queries_value_error() # Disable retries and run test_post_design_docs_queries_value_error. _service.disable_retries() self.test_post_design_docs_queries_value_error() # endregion ############################################################################## # End of Service: DesignDocuments ############################################################################## ############################################################################## # Start of Service: Views ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestPostView(): """ Test Class for post_view """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_view_all_params(self): """ post_view() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString') mock_response = '{"total_rows": 0, "update_seq": "update_seq", "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "anyValue", "value": "anyValue"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 0 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['testString'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Invoke method response = _service.post_view( db, ddoc, view, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, endkey_docid=endkey_docid, group=group, group_level=group_level, key=key, keys=keys, reduce=reduce, stable=stable, startkey=startkey, startkey_docid=startkey_docid, update=update, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 0 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['endkey_docid'] == 'testString' assert req_body['group'] == False assert req_body['group_level'] == 1 assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['reduce'] == True assert req_body['stable'] == False assert req_body['startkey'] == 'testString' assert req_body['startkey_docid'] == 'testString' assert req_body['update'] == 'true' def test_post_view_all_params_with_retries(self): # Enable retries and run test_post_view_all_params. _service.enable_retries() self.test_post_view_all_params() # Disable retries and run test_post_view_all_params. _service.disable_retries() self.test_post_view_all_params() @responses.activate def test_post_view_value_error(self): """ test_post_view_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString') mock_response = '{"total_rows": 0, "update_seq": "update_seq", "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "anyValue", "value": "anyValue"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 0 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['testString'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "view": view, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_view(**req_copy) def test_post_view_value_error_with_retries(self): # Enable retries and run test_post_view_value_error. _service.enable_retries() self.test_post_view_value_error() # Disable retries and run test_post_view_value_error. _service.disable_retries() self.test_post_view_value_error() class TestPostViewAsStream(): """ Test Class for post_view_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_view_as_stream_all_params(self): """ post_view_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = True inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['examplekey'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Invoke method response = _service.post_view_as_stream( db, ddoc, view, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, endkey_docid=endkey_docid, group=group, group_level=group_level, key=key, keys=keys, reduce=reduce, stable=stable, startkey=startkey, startkey_docid=startkey_docid, update=update, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == True assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['endkey_docid'] == 'testString' assert req_body['group'] == False assert req_body['group_level'] == 1 assert req_body['key'] == 'testString' assert req_body['keys'] == ['examplekey'] assert req_body['reduce'] == True assert req_body['stable'] == False assert req_body['startkey'] == 'testString' assert req_body['startkey_docid'] == 'testString' assert req_body['update'] == 'true' # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_view_as_stream_all_params_with_retries(self): # Enable retries and run test_post_view_as_stream_all_params. _service.enable_retries() self.test_post_view_as_stream_all_params() # Disable retries and run test_post_view_as_stream_all_params. _service.disable_retries() self.test_post_view_as_stream_all_params() @responses.activate def test_post_view_as_stream_value_error(self): """ test_post_view_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = True inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['examplekey'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "view": view, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_view_as_stream(**req_copy) def test_post_view_as_stream_value_error_with_retries(self): # Enable retries and run test_post_view_as_stream_value_error. _service.enable_retries() self.test_post_view_as_stream_value_error() # Disable retries and run test_post_view_as_stream_value_error. _service.disable_retries() self.test_post_view_as_stream_value_error() class TestPostViewQueries(): """ Test Class for post_view_queries """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_view_queries_all_params(self): """ post_view_queries() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString/queries') mock_response = '{"results": [{"total_rows": 0, "update_seq": "update_seq", "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "anyValue", "value": "anyValue"}]}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a ViewQuery model view_query_model = {} view_query_model['att_encoding_info'] = False view_query_model['attachments'] = False view_query_model['conflicts'] = False view_query_model['descending'] = False view_query_model['include_docs'] = False view_query_model['inclusive_end'] = True view_query_model['limit'] = 0 view_query_model['skip'] = 0 view_query_model['update_seq'] = False view_query_model['endkey'] = 'testString' view_query_model['endkey_docid'] = 'testString' view_query_model['group'] = False view_query_model['group_level'] = 1 view_query_model['key'] = 'testString' view_query_model['keys'] = ['testString'] view_query_model['reduce'] = True view_query_model['stable'] = False view_query_model['startkey'] = 'testString' view_query_model['startkey_docid'] = 'testString' view_query_model['update'] = 'true' # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' queries = [view_query_model] # Invoke method response = _service.post_view_queries( db, ddoc, view, queries, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['queries'] == [view_query_model] def test_post_view_queries_all_params_with_retries(self): # Enable retries and run test_post_view_queries_all_params. _service.enable_retries() self.test_post_view_queries_all_params() # Disable retries and run test_post_view_queries_all_params. _service.disable_retries() self.test_post_view_queries_all_params() @responses.activate def test_post_view_queries_value_error(self): """ test_post_view_queries_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString/queries') mock_response = '{"results": [{"total_rows": 0, "update_seq": "update_seq", "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "anyValue", "value": "anyValue"}]}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a ViewQuery model view_query_model = {} view_query_model['att_encoding_info'] = False view_query_model['attachments'] = False view_query_model['conflicts'] = False view_query_model['descending'] = False view_query_model['include_docs'] = False view_query_model['inclusive_end'] = True view_query_model['limit'] = 0 view_query_model['skip'] = 0 view_query_model['update_seq'] = False view_query_model['endkey'] = 'testString' view_query_model['endkey_docid'] = 'testString' view_query_model['group'] = False view_query_model['group_level'] = 1 view_query_model['key'] = 'testString' view_query_model['keys'] = ['testString'] view_query_model['reduce'] = True view_query_model['stable'] = False view_query_model['startkey'] = 'testString' view_query_model['startkey_docid'] = 'testString' view_query_model['update'] = 'true' # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' queries = [view_query_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "view": view, "queries": queries, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_view_queries(**req_copy) def test_post_view_queries_value_error_with_retries(self): # Enable retries and run test_post_view_queries_value_error. _service.enable_retries() self.test_post_view_queries_value_error() # Disable retries and run test_post_view_queries_value_error. _service.disable_retries() self.test_post_view_queries_value_error() class TestPostViewQueriesAsStream(): """ Test Class for post_view_queries_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_view_queries_as_stream_all_params(self): """ post_view_queries_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString/queries') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a ViewQuery model view_query_model = {} view_query_model['att_encoding_info'] = False view_query_model['attachments'] = False view_query_model['conflicts'] = False view_query_model['descending'] = False view_query_model['include_docs'] = True view_query_model['inclusive_end'] = True view_query_model['limit'] = 5 view_query_model['skip'] = 0 view_query_model['update_seq'] = False view_query_model['endkey'] = 'testString' view_query_model['endkey_docid'] = 'testString' view_query_model['group'] = False view_query_model['group_level'] = 1 view_query_model['key'] = 'testString' view_query_model['keys'] = ['testString'] view_query_model['reduce'] = True view_query_model['stable'] = False view_query_model['startkey'] = 'testString' view_query_model['startkey_docid'] = 'testString' view_query_model['update'] = 'true' # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' queries = [view_query_model] # Invoke method response = _service.post_view_queries_as_stream( db, ddoc, view, queries, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['queries'] == [view_query_model] # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_view_queries_as_stream_all_params_with_retries(self): # Enable retries and run test_post_view_queries_as_stream_all_params. _service.enable_retries() self.test_post_view_queries_as_stream_all_params() # Disable retries and run test_post_view_queries_as_stream_all_params. _service.disable_retries() self.test_post_view_queries_as_stream_all_params() @responses.activate def test_post_view_queries_as_stream_value_error(self): """ test_post_view_queries_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_view/testString/queries') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a ViewQuery model view_query_model = {} view_query_model['att_encoding_info'] = False view_query_model['attachments'] = False view_query_model['conflicts'] = False view_query_model['descending'] = False view_query_model['include_docs'] = True view_query_model['inclusive_end'] = True view_query_model['limit'] = 5 view_query_model['skip'] = 0 view_query_model['update_seq'] = False view_query_model['endkey'] = 'testString' view_query_model['endkey_docid'] = 'testString' view_query_model['group'] = False view_query_model['group_level'] = 1 view_query_model['key'] = 'testString' view_query_model['keys'] = ['testString'] view_query_model['reduce'] = True view_query_model['stable'] = False view_query_model['startkey'] = 'testString' view_query_model['startkey_docid'] = 'testString' view_query_model['update'] = 'true' # Set up parameter values db = 'testString' ddoc = 'testString' view = 'testString' queries = [view_query_model] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "view": view, "queries": queries, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_view_queries_as_stream(**req_copy) def test_post_view_queries_as_stream_value_error_with_retries(self): # Enable retries and run test_post_view_queries_as_stream_value_error. _service.enable_retries() self.test_post_view_queries_as_stream_value_error() # Disable retries and run test_post_view_queries_as_stream_value_error. _service.disable_retries() self.test_post_view_queries_as_stream_value_error() # endregion ############################################################################## # End of Service: Views ############################################################################## ############################################################################## # Start of Service: PartitionedDatabases ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetPartitionInformation(): """ Test Class for get_partition_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_partition_information_all_params(self): """ get_partition_information() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString') mock_response = '{"db_name": "db_name", "doc_count": 0, "doc_del_count": 0, "partition": "partition", "partitioned_indexes": {"count": 0, "indexes": {"search": 0, "view": 0}, "limit": 0}, "sizes": {"active": 0, "external": 0}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' # Invoke method response = _service.get_partition_information( db, partition_key, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_partition_information_all_params_with_retries(self): # Enable retries and run test_get_partition_information_all_params. _service.enable_retries() self.test_get_partition_information_all_params() # Disable retries and run test_get_partition_information_all_params. _service.disable_retries() self.test_get_partition_information_all_params() @responses.activate def test_get_partition_information_value_error(self): """ test_get_partition_information_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString') mock_response = '{"db_name": "db_name", "doc_count": 0, "doc_del_count": 0, "partition": "partition", "partitioned_indexes": {"count": 0, "indexes": {"search": 0, "view": 0}, "limit": 0}, "sizes": {"active": 0, "external": 0}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_partition_information(**req_copy) def test_get_partition_information_value_error_with_retries(self): # Enable retries and run test_get_partition_information_value_error. _service.enable_retries() self.test_get_partition_information_value_error() # Disable retries and run test_get_partition_information_value_error. _service.disable_retries() self.test_get_partition_information_value_error() class TestPostPartitionAllDocs(): """ Test Class for post_partition_all_docs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_all_docs_all_params(self): """ post_partition_all_docs() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_all_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Invoke method response = _service.post_partition_all_docs( db, partition_key, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, key=key, keys=keys, startkey=startkey, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['startkey'] == '0007741142412418284' def test_post_partition_all_docs_all_params_with_retries(self): # Enable retries and run test_post_partition_all_docs_all_params. _service.enable_retries() self.test_post_partition_all_docs_all_params() # Disable retries and run test_post_partition_all_docs_all_params. _service.disable_retries() self.test_post_partition_all_docs_all_params() @responses.activate def test_post_partition_all_docs_value_error(self): """ test_post_partition_all_docs_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_all_docs') mock_response = '{"total_rows": 0, "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "key", "value": {"rev": "rev"}}], "update_seq": "update_seq"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_all_docs(**req_copy) def test_post_partition_all_docs_value_error_with_retries(self): # Enable retries and run test_post_partition_all_docs_value_error. _service.enable_retries() self.test_post_partition_all_docs_value_error() # Disable retries and run test_post_partition_all_docs_value_error. _service.disable_retries() self.test_post_partition_all_docs_value_error() class TestPostPartitionAllDocsAsStream(): """ Test Class for post_partition_all_docs_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_all_docs_as_stream_all_params(self): """ post_partition_all_docs_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_all_docs') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Invoke method response = _service.post_partition_all_docs_as_stream( db, partition_key, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, key=key, keys=keys, startkey=startkey, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == False assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['key'] == 'testString' assert req_body['keys'] == ['testString'] assert req_body['startkey'] == '0007741142412418284' # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_partition_all_docs_as_stream_all_params_with_retries(self): # Enable retries and run test_post_partition_all_docs_as_stream_all_params. _service.enable_retries() self.test_post_partition_all_docs_as_stream_all_params() # Disable retries and run test_post_partition_all_docs_as_stream_all_params. _service.disable_retries() self.test_post_partition_all_docs_as_stream_all_params() @responses.activate def test_post_partition_all_docs_as_stream_value_error(self): """ test_post_partition_all_docs_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_all_docs') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = False inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' key = 'testString' keys = ['testString'] startkey = '0007741142412418284' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_all_docs_as_stream(**req_copy) def test_post_partition_all_docs_as_stream_value_error_with_retries(self): # Enable retries and run test_post_partition_all_docs_as_stream_value_error. _service.enable_retries() self.test_post_partition_all_docs_as_stream_value_error() # Disable retries and run test_post_partition_all_docs_as_stream_value_error. _service.disable_retries() self.test_post_partition_all_docs_as_stream_value_error() class TestPostPartitionSearch(): """ Test Class for post_partition_search """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_search_all_params(self): """ post_partition_search() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_search/testString') mock_response = '{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}], "groups": [{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}]}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 0 sort = ['testString'] stale = 'ok' # Invoke method response = _service.post_partition_search( db, partition_key, ddoc, index, query, bookmark=bookmark, highlight_fields=highlight_fields, highlight_number=highlight_number, highlight_post_tag=highlight_post_tag, highlight_pre_tag=highlight_pre_tag, highlight_size=highlight_size, include_docs=include_docs, include_fields=include_fields, limit=limit, sort=sort, stale=stale, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['query'] == 'testString' assert req_body['bookmark'] == 'testString' assert req_body['highlight_fields'] == ['testString'] assert req_body['highlight_number'] == 1 assert req_body['highlight_post_tag'] == '' assert req_body['highlight_pre_tag'] == '' assert req_body['highlight_size'] == 1 assert req_body['include_docs'] == False assert req_body['include_fields'] == ['testString'] assert req_body['limit'] == 0 assert req_body['sort'] == ['testString'] assert req_body['stale'] == 'ok' def test_post_partition_search_all_params_with_retries(self): # Enable retries and run test_post_partition_search_all_params. _service.enable_retries() self.test_post_partition_search_all_params() # Disable retries and run test_post_partition_search_all_params. _service.disable_retries() self.test_post_partition_search_all_params() @responses.activate def test_post_partition_search_value_error(self): """ test_post_partition_search_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_search/testString') mock_response = '{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}], "groups": [{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}]}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 0 sort = ['testString'] stale = 'ok' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, "ddoc": ddoc, "index": index, "query": query, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_search(**req_copy) def test_post_partition_search_value_error_with_retries(self): # Enable retries and run test_post_partition_search_value_error. _service.enable_retries() self.test_post_partition_search_value_error() # Disable retries and run test_post_partition_search_value_error. _service.disable_retries() self.test_post_partition_search_value_error() class TestPostPartitionSearchAsStream(): """ Test Class for post_partition_search_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_search_as_stream_all_params(self): """ post_partition_search_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_search/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 3 sort = ['testString'] stale = 'ok' # Invoke method response = _service.post_partition_search_as_stream( db, partition_key, ddoc, index, query, bookmark=bookmark, highlight_fields=highlight_fields, highlight_number=highlight_number, highlight_post_tag=highlight_post_tag, highlight_pre_tag=highlight_pre_tag, highlight_size=highlight_size, include_docs=include_docs, include_fields=include_fields, limit=limit, sort=sort, stale=stale, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['query'] == 'testString' assert req_body['bookmark'] == 'testString' assert req_body['highlight_fields'] == ['testString'] assert req_body['highlight_number'] == 1 assert req_body['highlight_post_tag'] == '' assert req_body['highlight_pre_tag'] == '' assert req_body['highlight_size'] == 1 assert req_body['include_docs'] == False assert req_body['include_fields'] == ['testString'] assert req_body['limit'] == 3 assert req_body['sort'] == ['testString'] assert req_body['stale'] == 'ok' # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_partition_search_as_stream_all_params_with_retries(self): # Enable retries and run test_post_partition_search_as_stream_all_params. _service.enable_retries() self.test_post_partition_search_as_stream_all_params() # Disable retries and run test_post_partition_search_as_stream_all_params. _service.disable_retries() self.test_post_partition_search_as_stream_all_params() @responses.activate def test_post_partition_search_as_stream_value_error(self): """ test_post_partition_search_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_search/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 3 sort = ['testString'] stale = 'ok' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, "ddoc": ddoc, "index": index, "query": query, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_search_as_stream(**req_copy) def test_post_partition_search_as_stream_value_error_with_retries(self): # Enable retries and run test_post_partition_search_as_stream_value_error. _service.enable_retries() self.test_post_partition_search_as_stream_value_error() # Disable retries and run test_post_partition_search_as_stream_value_error. _service.disable_retries() self.test_post_partition_search_as_stream_value_error() class TestPostPartitionView(): """ Test Class for post_partition_view """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_view_all_params(self): """ post_partition_view() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_view/testString') mock_response = '{"total_rows": 0, "update_seq": "update_seq", "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "anyValue", "value": "anyValue"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = True inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['examplekey'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Invoke method response = _service.post_partition_view( db, partition_key, ddoc, view, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, endkey_docid=endkey_docid, group=group, group_level=group_level, key=key, keys=keys, reduce=reduce, stable=stable, startkey=startkey, startkey_docid=startkey_docid, update=update, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == True assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['endkey_docid'] == 'testString' assert req_body['group'] == False assert req_body['group_level'] == 1 assert req_body['key'] == 'testString' assert req_body['keys'] == ['examplekey'] assert req_body['reduce'] == True assert req_body['stable'] == False assert req_body['startkey'] == 'testString' assert req_body['startkey_docid'] == 'testString' assert req_body['update'] == 'true' def test_post_partition_view_all_params_with_retries(self): # Enable retries and run test_post_partition_view_all_params. _service.enable_retries() self.test_post_partition_view_all_params() # Disable retries and run test_post_partition_view_all_params. _service.disable_retries() self.test_post_partition_view_all_params() @responses.activate def test_post_partition_view_value_error(self): """ test_post_partition_view_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_view/testString') mock_response = '{"total_rows": 0, "update_seq": "update_seq", "rows": [{"caused_by": "caused_by", "error": "error", "reason": "reason", "doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "id": "id", "key": "anyValue", "value": "anyValue"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = True inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['examplekey'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, "ddoc": ddoc, "view": view, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_view(**req_copy) def test_post_partition_view_value_error_with_retries(self): # Enable retries and run test_post_partition_view_value_error. _service.enable_retries() self.test_post_partition_view_value_error() # Disable retries and run test_post_partition_view_value_error. _service.disable_retries() self.test_post_partition_view_value_error() class TestPostPartitionViewAsStream(): """ Test Class for post_partition_view_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_view_as_stream_all_params(self): """ post_partition_view_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_view/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = True inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['examplekey'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Invoke method response = _service.post_partition_view_as_stream( db, partition_key, ddoc, view, att_encoding_info=att_encoding_info, attachments=attachments, conflicts=conflicts, descending=descending, include_docs=include_docs, inclusive_end=inclusive_end, limit=limit, skip=skip, update_seq=update_seq, endkey=endkey, endkey_docid=endkey_docid, group=group, group_level=group_level, key=key, keys=keys, reduce=reduce, stable=stable, startkey=startkey, startkey_docid=startkey_docid, update=update, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['att_encoding_info'] == False assert req_body['attachments'] == False assert req_body['conflicts'] == False assert req_body['descending'] == False assert req_body['include_docs'] == True assert req_body['inclusive_end'] == True assert req_body['limit'] == 10 assert req_body['skip'] == 0 assert req_body['update_seq'] == False assert req_body['endkey'] == 'testString' assert req_body['endkey_docid'] == 'testString' assert req_body['group'] == False assert req_body['group_level'] == 1 assert req_body['key'] == 'testString' assert req_body['keys'] == ['examplekey'] assert req_body['reduce'] == True assert req_body['stable'] == False assert req_body['startkey'] == 'testString' assert req_body['startkey_docid'] == 'testString' assert req_body['update'] == 'true' # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_partition_view_as_stream_all_params_with_retries(self): # Enable retries and run test_post_partition_view_as_stream_all_params. _service.enable_retries() self.test_post_partition_view_as_stream_all_params() # Disable retries and run test_post_partition_view_as_stream_all_params. _service.disable_retries() self.test_post_partition_view_as_stream_all_params() @responses.activate def test_post_partition_view_as_stream_value_error(self): """ test_post_partition_view_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_design/testString/_view/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' ddoc = 'testString' view = 'testString' att_encoding_info = False attachments = False conflicts = False descending = False include_docs = True inclusive_end = True limit = 10 skip = 0 update_seq = False endkey = 'testString' endkey_docid = 'testString' group = False group_level = 1 key = 'testString' keys = ['examplekey'] reduce = True stable = False startkey = 'testString' startkey_docid = 'testString' update = 'true' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, "ddoc": ddoc, "view": view, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_view_as_stream(**req_copy) def test_post_partition_view_as_stream_value_error_with_retries(self): # Enable retries and run test_post_partition_view_as_stream_value_error. _service.enable_retries() self.test_post_partition_view_as_stream_value_error() # Disable retries and run test_post_partition_view_as_stream_value_error. _service.disable_retries() self.test_post_partition_view_as_stream_value_error() class TestPostPartitionFind(): """ Test Class for post_partition_find """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_find_all_params(self): """ post_partition_find() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_find') mock_response = '{"bookmark": "bookmark", "docs": [{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}], "execution_stats": {"execution_time_ms": 17, "results_returned": 0, "total_docs_examined": 0, "total_keys_examined": 0, "total_quorum_docs_examined": 0}, "warning": "warning"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['testString'] limit = 0 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] # Invoke method response = _service.post_partition_find( db, partition_key, selector, bookmark=bookmark, conflicts=conflicts, execution_stats=execution_stats, fields=fields, limit=limit, skip=skip, sort=sort, stable=stable, update=update, use_index=use_index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['selector'] == {} assert req_body['bookmark'] == 'testString' assert req_body['conflicts'] == True assert req_body['execution_stats'] == True assert req_body['fields'] == ['testString'] assert req_body['limit'] == 0 assert req_body['skip'] == 0 assert req_body['sort'] == [{}] assert req_body['stable'] == True assert req_body['update'] == 'true' assert req_body['use_index'] == ['testString'] def test_post_partition_find_all_params_with_retries(self): # Enable retries and run test_post_partition_find_all_params. _service.enable_retries() self.test_post_partition_find_all_params() # Disable retries and run test_post_partition_find_all_params. _service.disable_retries() self.test_post_partition_find_all_params() @responses.activate def test_post_partition_find_value_error(self): """ test_post_partition_find_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_find') mock_response = '{"bookmark": "bookmark", "docs": [{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}], "execution_stats": {"execution_time_ms": 17, "results_returned": 0, "total_docs_examined": 0, "total_keys_examined": 0, "total_quorum_docs_examined": 0}, "warning": "warning"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['testString'] limit = 0 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, "selector": selector, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_find(**req_copy) def test_post_partition_find_value_error_with_retries(self): # Enable retries and run test_post_partition_find_value_error. _service.enable_retries() self.test_post_partition_find_value_error() # Disable retries and run test_post_partition_find_value_error. _service.disable_retries() self.test_post_partition_find_value_error() class TestPostPartitionFindAsStream(): """ Test Class for post_partition_find_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_partition_find_as_stream_all_params(self): """ post_partition_find_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_find') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['productid', 'name', 'description'] limit = 0 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] # Invoke method response = _service.post_partition_find_as_stream( db, partition_key, selector, bookmark=bookmark, conflicts=conflicts, execution_stats=execution_stats, fields=fields, limit=limit, skip=skip, sort=sort, stable=stable, update=update, use_index=use_index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['selector'] == {} assert req_body['bookmark'] == 'testString' assert req_body['conflicts'] == True assert req_body['execution_stats'] == True assert req_body['fields'] == ['productid', 'name', 'description'] assert req_body['limit'] == 0 assert req_body['skip'] == 0 assert req_body['sort'] == [{}] assert req_body['stable'] == True assert req_body['update'] == 'true' assert req_body['use_index'] == ['testString'] # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_partition_find_as_stream_all_params_with_retries(self): # Enable retries and run test_post_partition_find_as_stream_all_params. _service.enable_retries() self.test_post_partition_find_as_stream_all_params() # Disable retries and run test_post_partition_find_as_stream_all_params. _service.disable_retries() self.test_post_partition_find_as_stream_all_params() @responses.activate def test_post_partition_find_as_stream_value_error(self): """ test_post_partition_find_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_partition/testString/_find') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' partition_key = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['productid', 'name', 'description'] limit = 0 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "partition_key": partition_key, "selector": selector, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_partition_find_as_stream(**req_copy) def test_post_partition_find_as_stream_value_error_with_retries(self): # Enable retries and run test_post_partition_find_as_stream_value_error. _service.enable_retries() self.test_post_partition_find_as_stream_value_error() # Disable retries and run test_post_partition_find_as_stream_value_error. _service.disable_retries() self.test_post_partition_find_as_stream_value_error() # endregion ############################################################################## # End of Service: PartitionedDatabases ############################################################################## ############################################################################## # Start of Service: Queries ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestPostExplain(): """ Test Class for post_explain """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_explain_all_params(self): """ post_explain() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_explain') mock_response = '{"dbname": "dbname", "fields": ["fields"], "index": {"ddoc": "ddoc", "def": {"default_analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "default_field": {"analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "enabled": true}, "fields": [{"name": "name", "type": "boolean"}], "index_array_lengths": true, "partial_filter_selector": {"mapKey": "anyValue"}}, "name": "name", "type": "json"}, "limit": 0, "opts": {"mapKey": "anyValue"}, "range": {"end_key": ["anyValue"], "start_key": ["anyValue"]}, "selector": {"mapKey": "anyValue"}, "skip": 0}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['testString'] limit = 0 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] r = 1 # Invoke method response = _service.post_explain( db, selector, bookmark=bookmark, conflicts=conflicts, execution_stats=execution_stats, fields=fields, limit=limit, skip=skip, sort=sort, stable=stable, update=update, use_index=use_index, r=r, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['selector'] == {} assert req_body['bookmark'] == 'testString' assert req_body['conflicts'] == True assert req_body['execution_stats'] == True assert req_body['fields'] == ['testString'] assert req_body['limit'] == 0 assert req_body['skip'] == 0 assert req_body['sort'] == [{}] assert req_body['stable'] == True assert req_body['update'] == 'true' assert req_body['use_index'] == ['testString'] assert req_body['r'] == 1 def test_post_explain_all_params_with_retries(self): # Enable retries and run test_post_explain_all_params. _service.enable_retries() self.test_post_explain_all_params() # Disable retries and run test_post_explain_all_params. _service.disable_retries() self.test_post_explain_all_params() @responses.activate def test_post_explain_value_error(self): """ test_post_explain_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_explain') mock_response = '{"dbname": "dbname", "fields": ["fields"], "index": {"ddoc": "ddoc", "def": {"default_analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "default_field": {"analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "enabled": true}, "fields": [{"name": "name", "type": "boolean"}], "index_array_lengths": true, "partial_filter_selector": {"mapKey": "anyValue"}}, "name": "name", "type": "json"}, "limit": 0, "opts": {"mapKey": "anyValue"}, "range": {"end_key": ["anyValue"], "start_key": ["anyValue"]}, "selector": {"mapKey": "anyValue"}, "skip": 0}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['testString'] limit = 0 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] r = 1 # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "selector": selector, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_explain(**req_copy) def test_post_explain_value_error_with_retries(self): # Enable retries and run test_post_explain_value_error. _service.enable_retries() self.test_post_explain_value_error() # Disable retries and run test_post_explain_value_error. _service.disable_retries() self.test_post_explain_value_error() class TestPostFind(): """ Test Class for post_find """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_find_all_params(self): """ post_find() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_find') mock_response = '{"bookmark": "bookmark", "docs": [{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}], "execution_stats": {"execution_time_ms": 17, "results_returned": 0, "total_docs_examined": 0, "total_keys_examined": 0, "total_quorum_docs_examined": 0}, "warning": "warning"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['_id', 'type', 'name', 'email'] limit = 3 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] r = 1 # Invoke method response = _service.post_find( db, selector, bookmark=bookmark, conflicts=conflicts, execution_stats=execution_stats, fields=fields, limit=limit, skip=skip, sort=sort, stable=stable, update=update, use_index=use_index, r=r, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['selector'] == {} assert req_body['bookmark'] == 'testString' assert req_body['conflicts'] == True assert req_body['execution_stats'] == True assert req_body['fields'] == ['_id', 'type', 'name', 'email'] assert req_body['limit'] == 3 assert req_body['skip'] == 0 assert req_body['sort'] == [{}] assert req_body['stable'] == True assert req_body['update'] == 'true' assert req_body['use_index'] == ['testString'] assert req_body['r'] == 1 def test_post_find_all_params_with_retries(self): # Enable retries and run test_post_find_all_params. _service.enable_retries() self.test_post_find_all_params() # Disable retries and run test_post_find_all_params. _service.disable_retries() self.test_post_find_all_params() @responses.activate def test_post_find_value_error(self): """ test_post_find_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_find') mock_response = '{"bookmark": "bookmark", "docs": [{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}], "execution_stats": {"execution_time_ms": 17, "results_returned": 0, "total_docs_examined": 0, "total_keys_examined": 0, "total_quorum_docs_examined": 0}, "warning": "warning"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['_id', 'type', 'name', 'email'] limit = 3 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] r = 1 # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "selector": selector, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_find(**req_copy) def test_post_find_value_error_with_retries(self): # Enable retries and run test_post_find_value_error. _service.enable_retries() self.test_post_find_value_error() # Disable retries and run test_post_find_value_error. _service.disable_retries() self.test_post_find_value_error() class TestPostFindAsStream(): """ Test Class for post_find_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_find_as_stream_all_params(self): """ post_find_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_find') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['_id', 'type', 'name', 'email'] limit = 3 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] r = 1 # Invoke method response = _service.post_find_as_stream( db, selector, bookmark=bookmark, conflicts=conflicts, execution_stats=execution_stats, fields=fields, limit=limit, skip=skip, sort=sort, stable=stable, update=update, use_index=use_index, r=r, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['selector'] == {} assert req_body['bookmark'] == 'testString' assert req_body['conflicts'] == True assert req_body['execution_stats'] == True assert req_body['fields'] == ['_id', 'type', 'name', 'email'] assert req_body['limit'] == 3 assert req_body['skip'] == 0 assert req_body['sort'] == [{}] assert req_body['stable'] == True assert req_body['update'] == 'true' assert req_body['use_index'] == ['testString'] assert req_body['r'] == 1 # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_find_as_stream_all_params_with_retries(self): # Enable retries and run test_post_find_as_stream_all_params. _service.enable_retries() self.test_post_find_as_stream_all_params() # Disable retries and run test_post_find_as_stream_all_params. _service.disable_retries() self.test_post_find_as_stream_all_params() @responses.activate def test_post_find_as_stream_value_error(self): """ test_post_find_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_find') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' selector = {} bookmark = 'testString' conflicts = True execution_stats = True fields = ['_id', 'type', 'name', 'email'] limit = 3 skip = 0 sort = [{}] stable = True update = 'true' use_index = ['testString'] r = 1 # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "selector": selector, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_find_as_stream(**req_copy) def test_post_find_as_stream_value_error_with_retries(self): # Enable retries and run test_post_find_as_stream_value_error. _service.enable_retries() self.test_post_find_as_stream_value_error() # Disable retries and run test_post_find_as_stream_value_error. _service.disable_retries() self.test_post_find_as_stream_value_error() class TestGetIndexesInformation(): """ Test Class for get_indexes_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_indexes_information_all_params(self): """ get_indexes_information() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_index') mock_response = '{"total_rows": 0, "indexes": [{"ddoc": "ddoc", "def": {"default_analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "default_field": {"analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "enabled": true}, "fields": [{"name": "name", "type": "boolean"}], "index_array_lengths": true, "partial_filter_selector": {"mapKey": "anyValue"}}, "name": "name", "type": "json"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Invoke method response = _service.get_indexes_information( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_indexes_information_all_params_with_retries(self): # Enable retries and run test_get_indexes_information_all_params. _service.enable_retries() self.test_get_indexes_information_all_params() # Disable retries and run test_get_indexes_information_all_params. _service.disable_retries() self.test_get_indexes_information_all_params() @responses.activate def test_get_indexes_information_value_error(self): """ test_get_indexes_information_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_index') mock_response = '{"total_rows": 0, "indexes": [{"ddoc": "ddoc", "def": {"default_analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "default_field": {"analyzer": {"name": "classic", "stopwords": ["stopwords"]}, "enabled": true}, "fields": [{"name": "name", "type": "boolean"}], "index_array_lengths": true, "partial_filter_selector": {"mapKey": "anyValue"}}, "name": "name", "type": "json"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_indexes_information(**req_copy) def test_get_indexes_information_value_error_with_retries(self): # Enable retries and run test_get_indexes_information_value_error. _service.enable_retries() self.test_get_indexes_information_value_error() # Disable retries and run test_get_indexes_information_value_error. _service.disable_retries() self.test_get_indexes_information_value_error() class TestPostIndex(): """ Test Class for post_index """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_index_all_params(self): """ post_index() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_index') mock_response = '{"id": "id", "name": "name", "result": "created"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a Analyzer model analyzer_model = {} analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a dict representation of a IndexTextOperatorDefaultField model index_text_operator_default_field_model = {} index_text_operator_default_field_model['analyzer'] = analyzer_model index_text_operator_default_field_model['enabled'] = True # Construct a dict representation of a IndexField model index_field_model = {} index_field_model['name'] = 'testString' index_field_model['type'] = 'boolean' index_field_model['foo'] = 'asc' # Construct a dict representation of a IndexDefinition model index_definition_model = {} index_definition_model['default_analyzer'] = analyzer_model index_definition_model['default_field'] = index_text_operator_default_field_model index_definition_model['fields'] = [index_field_model] index_definition_model['index_array_lengths'] = True index_definition_model['partial_filter_selector'] = {} # Set up parameter values db = 'testString' index = index_definition_model ddoc = 'testString' def_ = index_definition_model name = 'testString' partitioned = True type = 'json' # Invoke method response = _service.post_index( db, index, ddoc=ddoc, def_=def_, name=name, partitioned=partitioned, type=type, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['index'] == index_definition_model assert req_body['ddoc'] == 'testString' assert req_body['def'] == index_definition_model assert req_body['name'] == 'testString' assert req_body['partitioned'] == True assert req_body['type'] == 'json' def test_post_index_all_params_with_retries(self): # Enable retries and run test_post_index_all_params. _service.enable_retries() self.test_post_index_all_params() # Disable retries and run test_post_index_all_params. _service.disable_retries() self.test_post_index_all_params() @responses.activate def test_post_index_value_error(self): """ test_post_index_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_index') mock_response = '{"id": "id", "name": "name", "result": "created"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a Analyzer model analyzer_model = {} analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a dict representation of a IndexTextOperatorDefaultField model index_text_operator_default_field_model = {} index_text_operator_default_field_model['analyzer'] = analyzer_model index_text_operator_default_field_model['enabled'] = True # Construct a dict representation of a IndexField model index_field_model = {} index_field_model['name'] = 'testString' index_field_model['type'] = 'boolean' index_field_model['foo'] = 'asc' # Construct a dict representation of a IndexDefinition model index_definition_model = {} index_definition_model['default_analyzer'] = analyzer_model index_definition_model['default_field'] = index_text_operator_default_field_model index_definition_model['fields'] = [index_field_model] index_definition_model['index_array_lengths'] = True index_definition_model['partial_filter_selector'] = {} # Set up parameter values db = 'testString' index = index_definition_model ddoc = 'testString' def_ = index_definition_model name = 'testString' partitioned = True type = 'json' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "index": index, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_index(**req_copy) def test_post_index_value_error_with_retries(self): # Enable retries and run test_post_index_value_error. _service.enable_retries() self.test_post_index_value_error() # Disable retries and run test_post_index_value_error. _service.disable_retries() self.test_post_index_value_error() class TestDeleteIndex(): """ Test Class for delete_index """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_index_all_params(self): """ delete_index() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_index/_design/testString/json/testString') mock_response = '{"ok": true}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' type = 'json' index = 'testString' # Invoke method response = _service.delete_index( db, ddoc, type, index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_delete_index_all_params_with_retries(self): # Enable retries and run test_delete_index_all_params. _service.enable_retries() self.test_delete_index_all_params() # Disable retries and run test_delete_index_all_params. _service.disable_retries() self.test_delete_index_all_params() @responses.activate def test_delete_index_value_error(self): """ test_delete_index_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_index/_design/testString/json/testString') mock_response = '{"ok": true}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' type = 'json' index = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "type": type, "index": index, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_index(**req_copy) def test_delete_index_value_error_with_retries(self): # Enable retries and run test_delete_index_value_error. _service.enable_retries() self.test_delete_index_value_error() # Disable retries and run test_delete_index_value_error. _service.disable_retries() self.test_delete_index_value_error() # endregion ############################################################################## # End of Service: Queries ############################################################################## ############################################################################## # Start of Service: Searches ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestPostSearchAnalyze(): """ Test Class for post_search_analyze """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_search_analyze_all_params(self): """ post_search_analyze() """ # Set up mock url = self.preprocess_url(_base_url + '/_search_analyze') mock_response = '{"tokens": ["tokens"]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values analyzer = 'arabic' text = 'testString' # Invoke method response = _service.post_search_analyze( analyzer, text, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['analyzer'] == 'arabic' assert req_body['text'] == 'testString' def test_post_search_analyze_all_params_with_retries(self): # Enable retries and run test_post_search_analyze_all_params. _service.enable_retries() self.test_post_search_analyze_all_params() # Disable retries and run test_post_search_analyze_all_params. _service.disable_retries() self.test_post_search_analyze_all_params() @responses.activate def test_post_search_analyze_value_error(self): """ test_post_search_analyze_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_search_analyze') mock_response = '{"tokens": ["tokens"]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values analyzer = 'arabic' text = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "analyzer": analyzer, "text": text, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_search_analyze(**req_copy) def test_post_search_analyze_value_error_with_retries(self): # Enable retries and run test_post_search_analyze_value_error. _service.enable_retries() self.test_post_search_analyze_value_error() # Disable retries and run test_post_search_analyze_value_error. _service.disable_retries() self.test_post_search_analyze_value_error() class TestPostSearch(): """ Test Class for post_search """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_search_all_params(self): """ post_search() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_search/testString') mock_response = '{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}], "groups": [{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}]}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 0 sort = ['testString'] stale = 'ok' counts = ['testString'] drilldown = [['testString']] group_field = 'testString' group_limit = 1 group_sort = ['testString'] ranges = {} # Invoke method response = _service.post_search( db, ddoc, index, query, bookmark=bookmark, highlight_fields=highlight_fields, highlight_number=highlight_number, highlight_post_tag=highlight_post_tag, highlight_pre_tag=highlight_pre_tag, highlight_size=highlight_size, include_docs=include_docs, include_fields=include_fields, limit=limit, sort=sort, stale=stale, counts=counts, drilldown=drilldown, group_field=group_field, group_limit=group_limit, group_sort=group_sort, ranges=ranges, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['query'] == 'testString' assert req_body['bookmark'] == 'testString' assert req_body['highlight_fields'] == ['testString'] assert req_body['highlight_number'] == 1 assert req_body['highlight_post_tag'] == '' assert req_body['highlight_pre_tag'] == '' assert req_body['highlight_size'] == 1 assert req_body['include_docs'] == False assert req_body['include_fields'] == ['testString'] assert req_body['limit'] == 0 assert req_body['sort'] == ['testString'] assert req_body['stale'] == 'ok' assert req_body['counts'] == ['testString'] assert req_body['drilldown'] == [['testString']] assert req_body['group_field'] == 'testString' assert req_body['group_limit'] == 1 assert req_body['group_sort'] == ['testString'] assert req_body['ranges'] == {} def test_post_search_all_params_with_retries(self): # Enable retries and run test_post_search_all_params. _service.enable_retries() self.test_post_search_all_params() # Disable retries and run test_post_search_all_params. _service.disable_retries() self.test_post_search_all_params() @responses.activate def test_post_search_value_error(self): """ test_post_search_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_search/testString') mock_response = '{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}], "groups": [{"total_rows": 0, "bookmark": "bookmark", "by": "by", "counts": {"mapKey": {"mapKey": 0}}, "ranges": {"mapKey": {"mapKey": 0}}, "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "fields": {"mapKey": "anyValue"}, "highlights": {"mapKey": ["inner"]}, "id": "id"}]}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 0 sort = ['testString'] stale = 'ok' counts = ['testString'] drilldown = [['testString']] group_field = 'testString' group_limit = 1 group_sort = ['testString'] ranges = {} # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "index": index, "query": query, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_search(**req_copy) def test_post_search_value_error_with_retries(self): # Enable retries and run test_post_search_value_error. _service.enable_retries() self.test_post_search_value_error() # Disable retries and run test_post_search_value_error. _service.disable_retries() self.test_post_search_value_error() class TestPostSearchAsStream(): """ Test Class for post_search_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_search_as_stream_all_params(self): """ post_search_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_search/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 3 sort = ['testString'] stale = 'ok' counts = ['testString'] drilldown = [['testString']] group_field = 'testString' group_limit = 1 group_sort = ['testString'] ranges = {} # Invoke method response = _service.post_search_as_stream( db, ddoc, index, query, bookmark=bookmark, highlight_fields=highlight_fields, highlight_number=highlight_number, highlight_post_tag=highlight_post_tag, highlight_pre_tag=highlight_pre_tag, highlight_size=highlight_size, include_docs=include_docs, include_fields=include_fields, limit=limit, sort=sort, stale=stale, counts=counts, drilldown=drilldown, group_field=group_field, group_limit=group_limit, group_sort=group_sort, ranges=ranges, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['query'] == 'testString' assert req_body['bookmark'] == 'testString' assert req_body['highlight_fields'] == ['testString'] assert req_body['highlight_number'] == 1 assert req_body['highlight_post_tag'] == '' assert req_body['highlight_pre_tag'] == '' assert req_body['highlight_size'] == 1 assert req_body['include_docs'] == False assert req_body['include_fields'] == ['testString'] assert req_body['limit'] == 3 assert req_body['sort'] == ['testString'] assert req_body['stale'] == 'ok' assert req_body['counts'] == ['testString'] assert req_body['drilldown'] == [['testString']] assert req_body['group_field'] == 'testString' assert req_body['group_limit'] == 1 assert req_body['group_sort'] == ['testString'] assert req_body['ranges'] == {} # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_post_search_as_stream_all_params_with_retries(self): # Enable retries and run test_post_search_as_stream_all_params. _service.enable_retries() self.test_post_search_as_stream_all_params() # Disable retries and run test_post_search_as_stream_all_params. _service.disable_retries() self.test_post_search_as_stream_all_params() @responses.activate def test_post_search_as_stream_value_error(self): """ test_post_search_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_search/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' query = 'testString' bookmark = 'testString' highlight_fields = ['testString'] highlight_number = 1 highlight_post_tag = '' highlight_pre_tag = '' highlight_size = 1 include_docs = False include_fields = ['testString'] limit = 3 sort = ['testString'] stale = 'ok' counts = ['testString'] drilldown = [['testString']] group_field = 'testString' group_limit = 1 group_sort = ['testString'] ranges = {} # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "index": index, "query": query, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_search_as_stream(**req_copy) def test_post_search_as_stream_value_error_with_retries(self): # Enable retries and run test_post_search_as_stream_value_error. _service.enable_retries() self.test_post_search_as_stream_value_error() # Disable retries and run test_post_search_as_stream_value_error. _service.disable_retries() self.test_post_search_as_stream_value_error() class TestGetSearchInfo(): """ Test Class for get_search_info """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_search_info_all_params(self): """ get_search_info() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_search_info/testString') mock_response = '{"name": "name", "search_index": {"committed_seq": 13, "disk_size": 0, "doc_count": 0, "doc_del_count": 0, "pending_seq": 11}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Invoke method response = _service.get_search_info( db, ddoc, index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_search_info_all_params_with_retries(self): # Enable retries and run test_get_search_info_all_params. _service.enable_retries() self.test_get_search_info_all_params() # Disable retries and run test_get_search_info_all_params. _service.disable_retries() self.test_get_search_info_all_params() @responses.activate def test_get_search_info_value_error(self): """ test_get_search_info_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_search_info/testString') mock_response = '{"name": "name", "search_index": {"committed_seq": 13, "disk_size": 0, "doc_count": 0, "doc_del_count": 0, "pending_seq": 11}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "index": index, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_search_info(**req_copy) def test_get_search_info_value_error_with_retries(self): # Enable retries and run test_get_search_info_value_error. _service.enable_retries() self.test_get_search_info_value_error() # Disable retries and run test_get_search_info_value_error. _service.disable_retries() self.test_get_search_info_value_error() # endregion ############################################################################## # End of Service: Searches ############################################################################## ############################################################################## # Start of Service: Geospatial ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetGeo(): """ Test Class for get_geo """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_geo_all_params(self): """ get_geo() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo/testString') mock_response = '{"bookmark": "bookmark", "features": [{"_id": "id", "_rev": "rev", "bbox": [4], "geometry": {"type": "Point", "coordinates": ["anyValue"]}, "properties": {"mapKey": "anyValue"}, "type": "Feature"}], "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "geometry": {"type": "Point", "coordinates": ["anyValue"]}, "id": "id", "rev": "rev"}], "type": "FeatureCollection"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' bbox = 'testString' bookmark = 'testString' format = 'view' g = 'testString' include_docs = False lat = -90 limit = 0 lon = -180 nearest = False radius = 0 rangex = 0 rangey = 0 relation = 'intersects' skip = 0 stale = 'ok' # Invoke method response = _service.get_geo( db, ddoc, index, bbox=bbox, bookmark=bookmark, format=format, g=g, include_docs=include_docs, lat=lat, limit=limit, lon=lon, nearest=nearest, radius=radius, rangex=rangex, rangey=rangey, relation=relation, skip=skip, stale=stale, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'bbox={}'.format(bbox) in query_string assert 'bookmark={}'.format(bookmark) in query_string assert 'format={}'.format(format) in query_string assert 'g={}'.format(g) in query_string assert 'include_docs={}'.format('true' if include_docs else 'false') in query_string assert 'lat={}'.format(lat) in query_string assert 'limit={}'.format(limit) in query_string assert 'lon={}'.format(lon) in query_string assert 'nearest={}'.format('true' if nearest else 'false') in query_string assert 'radius={}'.format(radius) in query_string assert 'rangex={}'.format(rangex) in query_string assert 'rangey={}'.format(rangey) in query_string assert 'relation={}'.format(relation) in query_string assert 'skip={}'.format(skip) in query_string assert 'stale={}'.format(stale) in query_string def test_get_geo_all_params_with_retries(self): # Enable retries and run test_get_geo_all_params. _service.enable_retries() self.test_get_geo_all_params() # Disable retries and run test_get_geo_all_params. _service.disable_retries() self.test_get_geo_all_params() @responses.activate def test_get_geo_required_params(self): """ test_get_geo_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo/testString') mock_response = '{"bookmark": "bookmark", "features": [{"_id": "id", "_rev": "rev", "bbox": [4], "geometry": {"type": "Point", "coordinates": ["anyValue"]}, "properties": {"mapKey": "anyValue"}, "type": "Feature"}], "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "geometry": {"type": "Point", "coordinates": ["anyValue"]}, "id": "id", "rev": "rev"}], "type": "FeatureCollection"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Invoke method response = _service.get_geo( db, ddoc, index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_geo_required_params_with_retries(self): # Enable retries and run test_get_geo_required_params. _service.enable_retries() self.test_get_geo_required_params() # Disable retries and run test_get_geo_required_params. _service.disable_retries() self.test_get_geo_required_params() @responses.activate def test_get_geo_value_error(self): """ test_get_geo_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo/testString') mock_response = '{"bookmark": "bookmark", "features": [{"_id": "id", "_rev": "rev", "bbox": [4], "geometry": {"type": "Point", "coordinates": ["anyValue"]}, "properties": {"mapKey": "anyValue"}, "type": "Feature"}], "rows": [{"doc": {"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}, "geometry": {"type": "Point", "coordinates": ["anyValue"]}, "id": "id", "rev": "rev"}], "type": "FeatureCollection"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "index": index, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_geo(**req_copy) def test_get_geo_value_error_with_retries(self): # Enable retries and run test_get_geo_value_error. _service.enable_retries() self.test_get_geo_value_error() # Disable retries and run test_get_geo_value_error. _service.disable_retries() self.test_get_geo_value_error() class TestGetGeoAsStream(): """ Test Class for get_geo_as_stream """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_geo_as_stream_all_params(self): """ get_geo_as_stream() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' bbox = 'testString' bookmark = 'testString' format = 'view' g = 'testString' include_docs = False lat = -90 limit = 0 lon = -180 nearest = False radius = 0 rangex = 0 rangey = 0 relation = 'intersects' skip = 0 stale = 'ok' # Invoke method response = _service.get_geo_as_stream( db, ddoc, index, bbox=bbox, bookmark=bookmark, format=format, g=g, include_docs=include_docs, lat=lat, limit=limit, lon=lon, nearest=nearest, radius=radius, rangex=rangex, rangey=rangey, relation=relation, skip=skip, stale=stale, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'bbox={}'.format(bbox) in query_string assert 'bookmark={}'.format(bookmark) in query_string assert 'format={}'.format(format) in query_string assert 'g={}'.format(g) in query_string assert 'include_docs={}'.format('true' if include_docs else 'false') in query_string assert 'lat={}'.format(lat) in query_string assert 'limit={}'.format(limit) in query_string assert 'lon={}'.format(lon) in query_string assert 'nearest={}'.format('true' if nearest else 'false') in query_string assert 'radius={}'.format(radius) in query_string assert 'rangex={}'.format(rangex) in query_string assert 'rangey={}'.format(rangey) in query_string assert 'relation={}'.format(relation) in query_string assert 'skip={}'.format(skip) in query_string assert 'stale={}'.format(stale) in query_string # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_get_geo_as_stream_all_params_with_retries(self): # Enable retries and run test_get_geo_as_stream_all_params. _service.enable_retries() self.test_get_geo_as_stream_all_params() # Disable retries and run test_get_geo_as_stream_all_params. _service.disable_retries() self.test_get_geo_as_stream_all_params() @responses.activate def test_get_geo_as_stream_required_params(self): """ test_get_geo_as_stream_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Invoke method response = _service.get_geo_as_stream( db, ddoc, index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Verify streamed JSON response result = response.get_result() assert isinstance(result, requests.models.Response) response_buf = result.iter_content(chunk_size=1024) assert str(next(response_buf), "utf-8") == mock_response def test_get_geo_as_stream_required_params_with_retries(self): # Enable retries and run test_get_geo_as_stream_required_params. _service.enable_retries() self.test_get_geo_as_stream_required_params() # Disable retries and run test_get_geo_as_stream_required_params. _service.disable_retries() self.test_get_geo_as_stream_required_params() @responses.activate def test_get_geo_as_stream_value_error(self): """ test_get_geo_as_stream_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo/testString') mock_response = '{"foo": "this is a mock response for JSON streaming"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "index": index, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_geo_as_stream(**req_copy) def test_get_geo_as_stream_value_error_with_retries(self): # Enable retries and run test_get_geo_as_stream_value_error. _service.enable_retries() self.test_get_geo_as_stream_value_error() # Disable retries and run test_get_geo_as_stream_value_error. _service.disable_retries() self.test_get_geo_as_stream_value_error() class TestPostGeoCleanup(): """ Test Class for post_geo_cleanup """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_geo_cleanup_all_params(self): """ post_geo_cleanup() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_geo_cleanup') mock_response = '{"ok": true}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=202) # Set up parameter values db = 'testString' # Invoke method response = _service.post_geo_cleanup( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 def test_post_geo_cleanup_all_params_with_retries(self): # Enable retries and run test_post_geo_cleanup_all_params. _service.enable_retries() self.test_post_geo_cleanup_all_params() # Disable retries and run test_post_geo_cleanup_all_params. _service.disable_retries() self.test_post_geo_cleanup_all_params() @responses.activate def test_post_geo_cleanup_value_error(self): """ test_post_geo_cleanup_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_geo_cleanup') mock_response = '{"ok": true}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=202) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_geo_cleanup(**req_copy) def test_post_geo_cleanup_value_error_with_retries(self): # Enable retries and run test_post_geo_cleanup_value_error. _service.enable_retries() self.test_post_geo_cleanup_value_error() # Disable retries and run test_post_geo_cleanup_value_error. _service.disable_retries() self.test_post_geo_cleanup_value_error() class TestGetGeoIndexInformation(): """ Test Class for get_geo_index_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_geo_index_information_all_params(self): """ get_geo_index_information() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo_info/testString') mock_response = '{"geo_index": {"data_size": 0, "disk_size": 0, "doc_count": 0}, "name": "name"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Invoke method response = _service.get_geo_index_information( db, ddoc, index, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_geo_index_information_all_params_with_retries(self): # Enable retries and run test_get_geo_index_information_all_params. _service.enable_retries() self.test_get_geo_index_information_all_params() # Disable retries and run test_get_geo_index_information_all_params. _service.disable_retries() self.test_get_geo_index_information_all_params() @responses.activate def test_get_geo_index_information_value_error(self): """ test_get_geo_index_information_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_design/testString/_geo_info/testString') mock_response = '{"geo_index": {"data_size": 0, "disk_size": 0, "doc_count": 0}, "name": "name"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' ddoc = 'testString' index = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "ddoc": ddoc, "index": index, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_geo_index_information(**req_copy) def test_get_geo_index_information_value_error_with_retries(self): # Enable retries and run test_get_geo_index_information_value_error. _service.enable_retries() self.test_get_geo_index_information_value_error() # Disable retries and run test_get_geo_index_information_value_error. _service.disable_retries() self.test_get_geo_index_information_value_error() # endregion ############################################################################## # End of Service: Geospatial ############################################################################## ############################################################################## # Start of Service: Replication ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadReplicationDocument(): """ Test Class for head_replication_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_replication_document_all_params(self): """ head_replication_document() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values doc_id = 'testString' if_none_match = 'testString' # Invoke method response = _service.head_replication_document( doc_id, if_none_match=if_none_match, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_replication_document_all_params_with_retries(self): # Enable retries and run test_head_replication_document_all_params. _service.enable_retries() self.test_head_replication_document_all_params() # Disable retries and run test_head_replication_document_all_params. _service.disable_retries() self.test_head_replication_document_all_params() @responses.activate def test_head_replication_document_required_params(self): """ test_head_replication_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values doc_id = 'testString' # Invoke method response = _service.head_replication_document( doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_replication_document_required_params_with_retries(self): # Enable retries and run test_head_replication_document_required_params. _service.enable_retries() self.test_head_replication_document_required_params() # Disable retries and run test_head_replication_document_required_params. _service.disable_retries() self.test_head_replication_document_required_params() @responses.activate def test_head_replication_document_value_error(self): """ test_head_replication_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_replication_document(**req_copy) def test_head_replication_document_value_error_with_retries(self): # Enable retries and run test_head_replication_document_value_error. _service.enable_retries() self.test_head_replication_document_value_error() # Disable retries and run test_head_replication_document_value_error. _service.disable_retries() self.test_head_replication_document_value_error() class TestHeadSchedulerDocument(): """ Test Class for head_scheduler_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_scheduler_document_all_params(self): """ head_scheduler_document() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/docs/_replicator/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values doc_id = 'testString' # Invoke method response = _service.head_scheduler_document( doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_scheduler_document_all_params_with_retries(self): # Enable retries and run test_head_scheduler_document_all_params. _service.enable_retries() self.test_head_scheduler_document_all_params() # Disable retries and run test_head_scheduler_document_all_params. _service.disable_retries() self.test_head_scheduler_document_all_params() @responses.activate def test_head_scheduler_document_value_error(self): """ test_head_scheduler_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/docs/_replicator/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_scheduler_document(**req_copy) def test_head_scheduler_document_value_error_with_retries(self): # Enable retries and run test_head_scheduler_document_value_error. _service.enable_retries() self.test_head_scheduler_document_value_error() # Disable retries and run test_head_scheduler_document_value_error. _service.disable_retries() self.test_head_scheduler_document_value_error() class TestHeadSchedulerJob(): """ Test Class for head_scheduler_job """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_scheduler_job_all_params(self): """ head_scheduler_job() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/jobs/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values job_id = 'testString' # Invoke method response = _service.head_scheduler_job( job_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_scheduler_job_all_params_with_retries(self): # Enable retries and run test_head_scheduler_job_all_params. _service.enable_retries() self.test_head_scheduler_job_all_params() # Disable retries and run test_head_scheduler_job_all_params. _service.disable_retries() self.test_head_scheduler_job_all_params() @responses.activate def test_head_scheduler_job_value_error(self): """ test_head_scheduler_job_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/jobs/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values job_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "job_id": job_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_scheduler_job(**req_copy) def test_head_scheduler_job_value_error_with_retries(self): # Enable retries and run test_head_scheduler_job_value_error. _service.enable_retries() self.test_head_scheduler_job_value_error() # Disable retries and run test_head_scheduler_job_value_error. _service.disable_retries() self.test_head_scheduler_job_value_error() class TestDeleteReplicationDocument(): """ Test Class for delete_replication_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_replication_document_all_params(self): """ delete_replication_document() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values doc_id = 'testString' if_match = 'testString' batch = 'ok' rev = 'testString' # Invoke method response = _service.delete_replication_document( doc_id, if_match=if_match, batch=batch, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string assert 'rev={}'.format(rev) in query_string def test_delete_replication_document_all_params_with_retries(self): # Enable retries and run test_delete_replication_document_all_params. _service.enable_retries() self.test_delete_replication_document_all_params() # Disable retries and run test_delete_replication_document_all_params. _service.disable_retries() self.test_delete_replication_document_all_params() @responses.activate def test_delete_replication_document_required_params(self): """ test_delete_replication_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values doc_id = 'testString' # Invoke method response = _service.delete_replication_document( doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 def test_delete_replication_document_required_params_with_retries(self): # Enable retries and run test_delete_replication_document_required_params. _service.enable_retries() self.test_delete_replication_document_required_params() # Disable retries and run test_delete_replication_document_required_params. _service.disable_retries() self.test_delete_replication_document_required_params() @responses.activate def test_delete_replication_document_value_error(self): """ test_delete_replication_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_replication_document(**req_copy) def test_delete_replication_document_value_error_with_retries(self): # Enable retries and run test_delete_replication_document_value_error. _service.enable_retries() self.test_delete_replication_document_value_error() # Disable retries and run test_delete_replication_document_value_error. _service.disable_retries() self.test_delete_replication_document_value_error() class TestGetReplicationDocument(): """ Test Class for get_replication_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_replication_document_all_params(self): """ get_replication_document() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}], "cancel": true, "checkpoint_interval": 0, "connection_timeout": 0, "continuous": false, "create_target": false, "create_target_params": {"n": 1, "partitioned": false, "q": 1}, "doc_ids": ["doc_ids"], "filter": "filter", "http_connections": 1, "query_params": {"mapKey": "inner"}, "retries_per_request": 0, "selector": {"mapKey": "anyValue"}, "since_seq": "since_seq", "socket_options": "socket_options", "source": {"auth": {"basic": {"password": "password", "username": "username"}, "iam": {"api_key": "api_key"}}, "headers": {"mapKey": "inner"}, "url": "url"}, "source_proxy": "source_proxy", "target": {"auth": {"basic": {"password": "password", "username": "username"}, "iam": {"api_key": "api_key"}}, "headers": {"mapKey": "inner"}, "url": "url"}, "target_proxy": "target_proxy", "use_checkpoints": true, "user_ctx": {"db": "db", "name": "name", "roles": ["_reader"]}, "worker_batch_size": 1, "worker_processes": 1}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values doc_id = 'testString' if_none_match = 'testString' attachments = False att_encoding_info = False conflicts = False deleted_conflicts = False latest = False local_seq = False meta = False rev = 'testString' revs = False revs_info = False # Invoke method response = _service.get_replication_document( doc_id, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, conflicts=conflicts, deleted_conflicts=deleted_conflicts, latest=latest, local_seq=local_seq, meta=meta, rev=rev, revs=revs, revs_info=revs_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'conflicts={}'.format('true' if conflicts else 'false') in query_string assert 'deleted_conflicts={}'.format('true' if deleted_conflicts else 'false') in query_string assert 'latest={}'.format('true' if latest else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string assert 'meta={}'.format('true' if meta else 'false') in query_string assert 'rev={}'.format(rev) in query_string assert 'revs={}'.format('true' if revs else 'false') in query_string assert 'revs_info={}'.format('true' if revs_info else 'false') in query_string def test_get_replication_document_all_params_with_retries(self): # Enable retries and run test_get_replication_document_all_params. _service.enable_retries() self.test_get_replication_document_all_params() # Disable retries and run test_get_replication_document_all_params. _service.disable_retries() self.test_get_replication_document_all_params() @responses.activate def test_get_replication_document_required_params(self): """ test_get_replication_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}], "cancel": true, "checkpoint_interval": 0, "connection_timeout": 0, "continuous": false, "create_target": false, "create_target_params": {"n": 1, "partitioned": false, "q": 1}, "doc_ids": ["doc_ids"], "filter": "filter", "http_connections": 1, "query_params": {"mapKey": "inner"}, "retries_per_request": 0, "selector": {"mapKey": "anyValue"}, "since_seq": "since_seq", "socket_options": "socket_options", "source": {"auth": {"basic": {"password": "password", "username": "username"}, "iam": {"api_key": "api_key"}}, "headers": {"mapKey": "inner"}, "url": "url"}, "source_proxy": "source_proxy", "target": {"auth": {"basic": {"password": "password", "username": "username"}, "iam": {"api_key": "api_key"}}, "headers": {"mapKey": "inner"}, "url": "url"}, "target_proxy": "target_proxy", "use_checkpoints": true, "user_ctx": {"db": "db", "name": "name", "roles": ["_reader"]}, "worker_batch_size": 1, "worker_processes": 1}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values doc_id = 'testString' # Invoke method response = _service.get_replication_document( doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_replication_document_required_params_with_retries(self): # Enable retries and run test_get_replication_document_required_params. _service.enable_retries() self.test_get_replication_document_required_params() # Disable retries and run test_get_replication_document_required_params. _service.disable_retries() self.test_get_replication_document_required_params() @responses.activate def test_get_replication_document_value_error(self): """ test_get_replication_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}], "cancel": true, "checkpoint_interval": 0, "connection_timeout": 0, "continuous": false, "create_target": false, "create_target_params": {"n": 1, "partitioned": false, "q": 1}, "doc_ids": ["doc_ids"], "filter": "filter", "http_connections": 1, "query_params": {"mapKey": "inner"}, "retries_per_request": 0, "selector": {"mapKey": "anyValue"}, "since_seq": "since_seq", "socket_options": "socket_options", "source": {"auth": {"basic": {"password": "password", "username": "username"}, "iam": {"api_key": "api_key"}}, "headers": {"mapKey": "inner"}, "url": "url"}, "source_proxy": "source_proxy", "target": {"auth": {"basic": {"password": "password", "username": "username"}, "iam": {"api_key": "api_key"}}, "headers": {"mapKey": "inner"}, "url": "url"}, "target_proxy": "target_proxy", "use_checkpoints": true, "user_ctx": {"db": "db", "name": "name", "roles": ["_reader"]}, "worker_batch_size": 1, "worker_processes": 1}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_replication_document(**req_copy) def test_get_replication_document_value_error_with_retries(self): # Enable retries and run test_get_replication_document_value_error. _service.enable_retries() self.test_get_replication_document_value_error() # Disable retries and run test_get_replication_document_value_error. _service.disable_retries() self.test_get_replication_document_value_error() class TestPutReplicationDocument(): """ Test Class for put_replication_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_replication_document_all_params(self): """ put_replication_document() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a ReplicationCreateTargetParameters model replication_create_target_parameters_model = {} replication_create_target_parameters_model['n'] = 1 replication_create_target_parameters_model['partitioned'] = False replication_create_target_parameters_model['q'] = 1 # Construct a dict representation of a ReplicationDatabaseAuthBasic model replication_database_auth_basic_model = {} replication_database_auth_basic_model['password'] = 'testString' replication_database_auth_basic_model['username'] = 'testString' # Construct a dict representation of a ReplicationDatabaseAuthIam model replication_database_auth_iam_model = {} replication_database_auth_iam_model['api_key'] = 'testString' # Construct a dict representation of a ReplicationDatabaseAuth model replication_database_auth_model = {} replication_database_auth_model['basic'] = replication_database_auth_basic_model replication_database_auth_model['iam'] = replication_database_auth_iam_model # Construct a dict representation of a ReplicationDatabase model replication_database_model = {} replication_database_model['auth'] = replication_database_auth_model replication_database_model['headers'] = {} replication_database_model['url'] = 'testString' # Construct a dict representation of a UserContext model user_context_model = {} user_context_model['db'] = 'testString' user_context_model['name'] = 'testString' user_context_model['roles'] = ['_reader'] # Construct a dict representation of a ReplicationDocument model replication_document_model = {} replication_document_model['_attachments'] = {} replication_document_model['_conflicts'] = ['testString'] replication_document_model['_deleted'] = True replication_document_model['_deleted_conflicts'] = ['testString'] replication_document_model['_id'] = 'testString' replication_document_model['_local_seq'] = 'testString' replication_document_model['_rev'] = 'testString' replication_document_model['_revisions'] = revisions_model replication_document_model['_revs_info'] = [document_revision_status_model] replication_document_model['cancel'] = True replication_document_model['checkpoint_interval'] = 0 replication_document_model['connection_timeout'] = 0 replication_document_model['continuous'] = False replication_document_model['create_target'] = False replication_document_model['create_target_params'] = replication_create_target_parameters_model replication_document_model['doc_ids'] = ['testString'] replication_document_model['filter'] = 'testString' replication_document_model['http_connections'] = 1 replication_document_model['query_params'] = {} replication_document_model['retries_per_request'] = 0 replication_document_model['selector'] = {} replication_document_model['since_seq'] = 'testString' replication_document_model['socket_options'] = 'testString' replication_document_model['source'] = replication_database_model replication_document_model['source_proxy'] = 'testString' replication_document_model['target'] = replication_database_model replication_document_model['target_proxy'] = 'testString' replication_document_model['use_checkpoints'] = True replication_document_model['user_ctx'] = user_context_model replication_document_model['worker_batch_size'] = 1 replication_document_model['worker_processes'] = 1 replication_document_model['foo'] = 'testString' # Set up parameter values doc_id = 'testString' replication_document = replication_document_model if_match = 'testString' batch = 'ok' new_edits = False rev = 'testString' # Invoke method response = _service.put_replication_document( doc_id, replication_document, if_match=if_match, batch=batch, new_edits=new_edits, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string assert 'new_edits={}'.format('true' if new_edits else 'false') in query_string assert 'rev={}'.format(rev) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body == replication_document def test_put_replication_document_all_params_with_retries(self): # Enable retries and run test_put_replication_document_all_params. _service.enable_retries() self.test_put_replication_document_all_params() # Disable retries and run test_put_replication_document_all_params. _service.disable_retries() self.test_put_replication_document_all_params() @responses.activate def test_put_replication_document_required_params(self): """ test_put_replication_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a ReplicationCreateTargetParameters model replication_create_target_parameters_model = {} replication_create_target_parameters_model['n'] = 1 replication_create_target_parameters_model['partitioned'] = False replication_create_target_parameters_model['q'] = 1 # Construct a dict representation of a ReplicationDatabaseAuthBasic model replication_database_auth_basic_model = {} replication_database_auth_basic_model['password'] = 'testString' replication_database_auth_basic_model['username'] = 'testString' # Construct a dict representation of a ReplicationDatabaseAuthIam model replication_database_auth_iam_model = {} replication_database_auth_iam_model['api_key'] = 'testString' # Construct a dict representation of a ReplicationDatabaseAuth model replication_database_auth_model = {} replication_database_auth_model['basic'] = replication_database_auth_basic_model replication_database_auth_model['iam'] = replication_database_auth_iam_model # Construct a dict representation of a ReplicationDatabase model replication_database_model = {} replication_database_model['auth'] = replication_database_auth_model replication_database_model['headers'] = {} replication_database_model['url'] = 'testString' # Construct a dict representation of a UserContext model user_context_model = {} user_context_model['db'] = 'testString' user_context_model['name'] = 'testString' user_context_model['roles'] = ['_reader'] # Construct a dict representation of a ReplicationDocument model replication_document_model = {} replication_document_model['_attachments'] = {} replication_document_model['_conflicts'] = ['testString'] replication_document_model['_deleted'] = True replication_document_model['_deleted_conflicts'] = ['testString'] replication_document_model['_id'] = 'testString' replication_document_model['_local_seq'] = 'testString' replication_document_model['_rev'] = 'testString' replication_document_model['_revisions'] = revisions_model replication_document_model['_revs_info'] = [document_revision_status_model] replication_document_model['cancel'] = True replication_document_model['checkpoint_interval'] = 0 replication_document_model['connection_timeout'] = 0 replication_document_model['continuous'] = False replication_document_model['create_target'] = False replication_document_model['create_target_params'] = replication_create_target_parameters_model replication_document_model['doc_ids'] = ['testString'] replication_document_model['filter'] = 'testString' replication_document_model['http_connections'] = 1 replication_document_model['query_params'] = {} replication_document_model['retries_per_request'] = 0 replication_document_model['selector'] = {} replication_document_model['since_seq'] = 'testString' replication_document_model['socket_options'] = 'testString' replication_document_model['source'] = replication_database_model replication_document_model['source_proxy'] = 'testString' replication_document_model['target'] = replication_database_model replication_document_model['target_proxy'] = 'testString' replication_document_model['use_checkpoints'] = True replication_document_model['user_ctx'] = user_context_model replication_document_model['worker_batch_size'] = 1 replication_document_model['worker_processes'] = 1 replication_document_model['foo'] = 'testString' # Set up parameter values doc_id = 'testString' replication_document = replication_document_model # Invoke method response = _service.put_replication_document( doc_id, replication_document, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body == replication_document def test_put_replication_document_required_params_with_retries(self): # Enable retries and run test_put_replication_document_required_params. _service.enable_retries() self.test_put_replication_document_required_params() # Disable retries and run test_put_replication_document_required_params. _service.disable_retries() self.test_put_replication_document_required_params() @responses.activate def test_put_replication_document_value_error(self): """ test_put_replication_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_replicator/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a ReplicationCreateTargetParameters model replication_create_target_parameters_model = {} replication_create_target_parameters_model['n'] = 1 replication_create_target_parameters_model['partitioned'] = False replication_create_target_parameters_model['q'] = 1 # Construct a dict representation of a ReplicationDatabaseAuthBasic model replication_database_auth_basic_model = {} replication_database_auth_basic_model['password'] = 'testString' replication_database_auth_basic_model['username'] = 'testString' # Construct a dict representation of a ReplicationDatabaseAuthIam model replication_database_auth_iam_model = {} replication_database_auth_iam_model['api_key'] = 'testString' # Construct a dict representation of a ReplicationDatabaseAuth model replication_database_auth_model = {} replication_database_auth_model['basic'] = replication_database_auth_basic_model replication_database_auth_model['iam'] = replication_database_auth_iam_model # Construct a dict representation of a ReplicationDatabase model replication_database_model = {} replication_database_model['auth'] = replication_database_auth_model replication_database_model['headers'] = {} replication_database_model['url'] = 'testString' # Construct a dict representation of a UserContext model user_context_model = {} user_context_model['db'] = 'testString' user_context_model['name'] = 'testString' user_context_model['roles'] = ['_reader'] # Construct a dict representation of a ReplicationDocument model replication_document_model = {} replication_document_model['_attachments'] = {} replication_document_model['_conflicts'] = ['testString'] replication_document_model['_deleted'] = True replication_document_model['_deleted_conflicts'] = ['testString'] replication_document_model['_id'] = 'testString' replication_document_model['_local_seq'] = 'testString' replication_document_model['_rev'] = 'testString' replication_document_model['_revisions'] = revisions_model replication_document_model['_revs_info'] = [document_revision_status_model] replication_document_model['cancel'] = True replication_document_model['checkpoint_interval'] = 0 replication_document_model['connection_timeout'] = 0 replication_document_model['continuous'] = False replication_document_model['create_target'] = False replication_document_model['create_target_params'] = replication_create_target_parameters_model replication_document_model['doc_ids'] = ['testString'] replication_document_model['filter'] = 'testString' replication_document_model['http_connections'] = 1 replication_document_model['query_params'] = {} replication_document_model['retries_per_request'] = 0 replication_document_model['selector'] = {} replication_document_model['since_seq'] = 'testString' replication_document_model['socket_options'] = 'testString' replication_document_model['source'] = replication_database_model replication_document_model['source_proxy'] = 'testString' replication_document_model['target'] = replication_database_model replication_document_model['target_proxy'] = 'testString' replication_document_model['use_checkpoints'] = True replication_document_model['user_ctx'] = user_context_model replication_document_model['worker_batch_size'] = 1 replication_document_model['worker_processes'] = 1 replication_document_model['foo'] = 'testString' # Set up parameter values doc_id = 'testString' replication_document = replication_document_model # Pass in all but one required param and check for a ValueError req_param_dict = { "doc_id": doc_id, "replication_document": replication_document, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_replication_document(**req_copy) def test_put_replication_document_value_error_with_retries(self): # Enable retries and run test_put_replication_document_value_error. _service.enable_retries() self.test_put_replication_document_value_error() # Disable retries and run test_put_replication_document_value_error. _service.disable_retries() self.test_put_replication_document_value_error() class TestGetSchedulerDocs(): """ Test Class for get_scheduler_docs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_scheduler_docs_all_params(self): """ get_scheduler_docs() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/docs') mock_response = '{"total_rows": 0, "docs": [{"database": "database", "doc_id": "doc_id", "error_count": 0, "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "last_updated": "2019-01-01T12:00:00.000Z", "node": "node", "source": "source", "source_proxy": "source_proxy", "start_time": "2019-01-01T12:00:00.000Z", "state": "initializing", "target": "target", "target_proxy": "target_proxy"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values limit = 0 skip = 0 states = ['initializing'] # Invoke method response = _service.get_scheduler_docs( limit=limit, skip=skip, states=states, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'limit={}'.format(limit) in query_string assert 'skip={}'.format(skip) in query_string assert 'states={}'.format(','.join(states)) in query_string def test_get_scheduler_docs_all_params_with_retries(self): # Enable retries and run test_get_scheduler_docs_all_params. _service.enable_retries() self.test_get_scheduler_docs_all_params() # Disable retries and run test_get_scheduler_docs_all_params. _service.disable_retries() self.test_get_scheduler_docs_all_params() @responses.activate def test_get_scheduler_docs_required_params(self): """ test_get_scheduler_docs_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/docs') mock_response = '{"total_rows": 0, "docs": [{"database": "database", "doc_id": "doc_id", "error_count": 0, "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "last_updated": "2019-01-01T12:00:00.000Z", "node": "node", "source": "source", "source_proxy": "source_proxy", "start_time": "2019-01-01T12:00:00.000Z", "state": "initializing", "target": "target", "target_proxy": "target_proxy"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_scheduler_docs() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_scheduler_docs_required_params_with_retries(self): # Enable retries and run test_get_scheduler_docs_required_params. _service.enable_retries() self.test_get_scheduler_docs_required_params() # Disable retries and run test_get_scheduler_docs_required_params. _service.disable_retries() self.test_get_scheduler_docs_required_params() class TestGetSchedulerDocument(): """ Test Class for get_scheduler_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_scheduler_document_all_params(self): """ get_scheduler_document() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/docs/_replicator/testString') mock_response = '{"database": "database", "doc_id": "doc_id", "error_count": 0, "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "last_updated": "2019-01-01T12:00:00.000Z", "node": "node", "source": "source", "source_proxy": "source_proxy", "start_time": "2019-01-01T12:00:00.000Z", "state": "initializing", "target": "target", "target_proxy": "target_proxy"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values doc_id = 'testString' # Invoke method response = _service.get_scheduler_document( doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_scheduler_document_all_params_with_retries(self): # Enable retries and run test_get_scheduler_document_all_params. _service.enable_retries() self.test_get_scheduler_document_all_params() # Disable retries and run test_get_scheduler_document_all_params. _service.disable_retries() self.test_get_scheduler_document_all_params() @responses.activate def test_get_scheduler_document_value_error(self): """ test_get_scheduler_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/docs/_replicator/testString') mock_response = '{"database": "database", "doc_id": "doc_id", "error_count": 0, "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "last_updated": "2019-01-01T12:00:00.000Z", "node": "node", "source": "source", "source_proxy": "source_proxy", "start_time": "2019-01-01T12:00:00.000Z", "state": "initializing", "target": "target", "target_proxy": "target_proxy"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_scheduler_document(**req_copy) def test_get_scheduler_document_value_error_with_retries(self): # Enable retries and run test_get_scheduler_document_value_error. _service.enable_retries() self.test_get_scheduler_document_value_error() # Disable retries and run test_get_scheduler_document_value_error. _service.disable_retries() self.test_get_scheduler_document_value_error() class TestGetSchedulerJobs(): """ Test Class for get_scheduler_jobs """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_scheduler_jobs_all_params(self): """ get_scheduler_jobs() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/jobs') mock_response = '{"total_rows": 0, "jobs": [{"database": "database", "doc_id": "doc_id", "history": [{"reason": "reason", "timestamp": "2019-01-01T12:00:00.000Z", "type": "type"}], "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "node": "node", "pid": "pid", "source": "source", "start_time": "2019-01-01T12:00:00.000Z", "target": "target", "user": "user"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values limit = 0 skip = 0 # Invoke method response = _service.get_scheduler_jobs( limit=limit, skip=skip, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'limit={}'.format(limit) in query_string assert 'skip={}'.format(skip) in query_string def test_get_scheduler_jobs_all_params_with_retries(self): # Enable retries and run test_get_scheduler_jobs_all_params. _service.enable_retries() self.test_get_scheduler_jobs_all_params() # Disable retries and run test_get_scheduler_jobs_all_params. _service.disable_retries() self.test_get_scheduler_jobs_all_params() @responses.activate def test_get_scheduler_jobs_required_params(self): """ test_get_scheduler_jobs_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/jobs') mock_response = '{"total_rows": 0, "jobs": [{"database": "database", "doc_id": "doc_id", "history": [{"reason": "reason", "timestamp": "2019-01-01T12:00:00.000Z", "type": "type"}], "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "node": "node", "pid": "pid", "source": "source", "start_time": "2019-01-01T12:00:00.000Z", "target": "target", "user": "user"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_scheduler_jobs() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_scheduler_jobs_required_params_with_retries(self): # Enable retries and run test_get_scheduler_jobs_required_params. _service.enable_retries() self.test_get_scheduler_jobs_required_params() # Disable retries and run test_get_scheduler_jobs_required_params. _service.disable_retries() self.test_get_scheduler_jobs_required_params() class TestGetSchedulerJob(): """ Test Class for get_scheduler_job """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_scheduler_job_all_params(self): """ get_scheduler_job() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/jobs/testString') mock_response = '{"database": "database", "doc_id": "doc_id", "history": [{"reason": "reason", "timestamp": "2019-01-01T12:00:00.000Z", "type": "type"}], "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "node": "node", "pid": "pid", "source": "source", "start_time": "2019-01-01T12:00:00.000Z", "target": "target", "user": "user"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values job_id = 'testString' # Invoke method response = _service.get_scheduler_job( job_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_scheduler_job_all_params_with_retries(self): # Enable retries and run test_get_scheduler_job_all_params. _service.enable_retries() self.test_get_scheduler_job_all_params() # Disable retries and run test_get_scheduler_job_all_params. _service.disable_retries() self.test_get_scheduler_job_all_params() @responses.activate def test_get_scheduler_job_value_error(self): """ test_get_scheduler_job_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_scheduler/jobs/testString') mock_response = '{"database": "database", "doc_id": "doc_id", "history": [{"reason": "reason", "timestamp": "2019-01-01T12:00:00.000Z", "type": "type"}], "id": "id", "info": {"changes_pending": 0, "checkpointed_source_seq": "checkpointed_source_seq", "doc_write_failures": 0, "docs_read": 0, "docs_written": 0, "error": "error", "missing_revisions_found": 0, "revisions_checked": 0, "source_seq": "source_seq", "through_seq": "through_seq"}, "node": "node", "pid": "pid", "source": "source", "start_time": "2019-01-01T12:00:00.000Z", "target": "target", "user": "user"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values job_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "job_id": job_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_scheduler_job(**req_copy) def test_get_scheduler_job_value_error_with_retries(self): # Enable retries and run test_get_scheduler_job_value_error. _service.enable_retries() self.test_get_scheduler_job_value_error() # Disable retries and run test_get_scheduler_job_value_error. _service.disable_retries() self.test_get_scheduler_job_value_error() # endregion ############################################################################## # End of Service: Replication ############################################################################## ############################################################################## # Start of Service: Authentication ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetSessionInformation(): """ Test Class for get_session_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_session_information_all_params(self): """ get_session_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_session') mock_response = '{"ok": true, "info": {"authenticated": "authenticated", "authentication_db": "authentication_db", "authentication_handlers": ["authentication_handlers"]}, "userCtx": {"db": "db", "name": "name", "roles": ["_reader"]}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_session_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_session_information_all_params_with_retries(self): # Enable retries and run test_get_session_information_all_params. _service.enable_retries() self.test_get_session_information_all_params() # Disable retries and run test_get_session_information_all_params. _service.disable_retries() self.test_get_session_information_all_params() # endregion ############################################################################## # End of Service: Authentication ############################################################################## ############################################################################## # Start of Service: Authorization ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetSecurity(): """ Test Class for get_security """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_security_all_params(self): """ get_security() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_security') mock_response = '{"admins": {"names": ["names"], "roles": ["roles"]}, "members": {"names": ["names"], "roles": ["roles"]}, "cloudant": {"mapKey": ["_reader"]}, "couchdb_auth_only": false}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Invoke method response = _service.get_security( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_security_all_params_with_retries(self): # Enable retries and run test_get_security_all_params. _service.enable_retries() self.test_get_security_all_params() # Disable retries and run test_get_security_all_params. _service.disable_retries() self.test_get_security_all_params() @responses.activate def test_get_security_value_error(self): """ test_get_security_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_security') mock_response = '{"admins": {"names": ["names"], "roles": ["roles"]}, "members": {"names": ["names"], "roles": ["roles"]}, "cloudant": {"mapKey": ["_reader"]}, "couchdb_auth_only": false}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_security(**req_copy) def test_get_security_value_error_with_retries(self): # Enable retries and run test_get_security_value_error. _service.enable_retries() self.test_get_security_value_error() # Disable retries and run test_get_security_value_error. _service.disable_retries() self.test_get_security_value_error() class TestPutSecurity(): """ Test Class for put_security """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_security_all_params(self): """ put_security() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_security') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a SecurityObject model security_object_model = {} security_object_model['names'] = ['testString'] security_object_model['roles'] = ['testString'] # Set up parameter values db = 'testString' admins = security_object_model members = security_object_model cloudant = {} couchdb_auth_only = True # Invoke method response = _service.put_security( db, admins=admins, members=members, cloudant=cloudant, couchdb_auth_only=couchdb_auth_only, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['admins'] == security_object_model assert req_body['members'] == security_object_model assert req_body['cloudant'] == {} assert req_body['couchdb_auth_only'] == True def test_put_security_all_params_with_retries(self): # Enable retries and run test_put_security_all_params. _service.enable_retries() self.test_put_security_all_params() # Disable retries and run test_put_security_all_params. _service.disable_retries() self.test_put_security_all_params() @responses.activate def test_put_security_value_error(self): """ test_put_security_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_security') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a SecurityObject model security_object_model = {} security_object_model['names'] = ['testString'] security_object_model['roles'] = ['testString'] # Set up parameter values db = 'testString' admins = security_object_model members = security_object_model cloudant = {} couchdb_auth_only = True # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_security(**req_copy) def test_put_security_value_error_with_retries(self): # Enable retries and run test_put_security_value_error. _service.enable_retries() self.test_put_security_value_error() # Disable retries and run test_put_security_value_error. _service.disable_retries() self.test_put_security_value_error() class TestPostApiKeys(): """ Test Class for post_api_keys """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_api_keys_all_params(self): """ post_api_keys() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/api_keys') mock_response = '{"ok": true, "key": "key", "password": "password"}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Invoke method response = _service.post_api_keys() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 def test_post_api_keys_all_params_with_retries(self): # Enable retries and run test_post_api_keys_all_params. _service.enable_retries() self.test_post_api_keys_all_params() # Disable retries and run test_post_api_keys_all_params. _service.disable_retries() self.test_post_api_keys_all_params() class TestPutCloudantSecurityConfiguration(): """ Test Class for put_cloudant_security_configuration """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_cloudant_security_configuration_all_params(self): """ put_cloudant_security_configuration() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/db/testString/_security') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a SecurityObject model security_object_model = {} security_object_model['names'] = ['testString'] security_object_model['roles'] = ['testString'] # Set up parameter values db = 'testString' cloudant = {} admins = security_object_model members = security_object_model couchdb_auth_only = True # Invoke method response = _service.put_cloudant_security_configuration( db, cloudant, admins=admins, members=members, couchdb_auth_only=couchdb_auth_only, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['cloudant'] == {} assert req_body['admins'] == security_object_model assert req_body['members'] == security_object_model assert req_body['couchdb_auth_only'] == True def test_put_cloudant_security_configuration_all_params_with_retries(self): # Enable retries and run test_put_cloudant_security_configuration_all_params. _service.enable_retries() self.test_put_cloudant_security_configuration_all_params() # Disable retries and run test_put_cloudant_security_configuration_all_params. _service.disable_retries() self.test_put_cloudant_security_configuration_all_params() @responses.activate def test_put_cloudant_security_configuration_value_error(self): """ test_put_cloudant_security_configuration_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/db/testString/_security') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a SecurityObject model security_object_model = {} security_object_model['names'] = ['testString'] security_object_model['roles'] = ['testString'] # Set up parameter values db = 'testString' cloudant = {} admins = security_object_model members = security_object_model couchdb_auth_only = True # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "cloudant": cloudant, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_cloudant_security_configuration(**req_copy) def test_put_cloudant_security_configuration_value_error_with_retries(self): # Enable retries and run test_put_cloudant_security_configuration_value_error. _service.enable_retries() self.test_put_cloudant_security_configuration_value_error() # Disable retries and run test_put_cloudant_security_configuration_value_error. _service.disable_retries() self.test_put_cloudant_security_configuration_value_error() # endregion ############################################################################## # End of Service: Authorization ############################################################################## ############################################################################## # Start of Service: CORS ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestGetCorsInformation(): """ Test Class for get_cors_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_cors_information_all_params(self): """ get_cors_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/config/cors') mock_response = '{"allow_credentials": true, "enable_cors": true, "origins": ["origins"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_cors_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_cors_information_all_params_with_retries(self): # Enable retries and run test_get_cors_information_all_params. _service.enable_retries() self.test_get_cors_information_all_params() # Disable retries and run test_get_cors_information_all_params. _service.disable_retries() self.test_get_cors_information_all_params() class TestPutCorsConfiguration(): """ Test Class for put_cors_configuration """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_cors_configuration_all_params(self): """ put_cors_configuration() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/config/cors') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values origins = ['testString'] allow_credentials = True enable_cors = True # Invoke method response = _service.put_cors_configuration( origins, allow_credentials=allow_credentials, enable_cors=enable_cors, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['origins'] == ['testString'] assert req_body['allow_credentials'] == True assert req_body['enable_cors'] == True def test_put_cors_configuration_all_params_with_retries(self): # Enable retries and run test_put_cors_configuration_all_params. _service.enable_retries() self.test_put_cors_configuration_all_params() # Disable retries and run test_put_cors_configuration_all_params. _service.disable_retries() self.test_put_cors_configuration_all_params() @responses.activate def test_put_cors_configuration_value_error(self): """ test_put_cors_configuration_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/config/cors') mock_response = '{"ok": true}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values origins = ['testString'] allow_credentials = True enable_cors = True # Pass in all but one required param and check for a ValueError req_param_dict = { "origins": origins, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_cors_configuration(**req_copy) def test_put_cors_configuration_value_error_with_retries(self): # Enable retries and run test_put_cors_configuration_value_error. _service.enable_retries() self.test_put_cors_configuration_value_error() # Disable retries and run test_put_cors_configuration_value_error. _service.disable_retries() self.test_put_cors_configuration_value_error() # endregion ############################################################################## # End of Service: CORS ############################################################################## ############################################################################## # Start of Service: Attachments ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadAttachment(): """ Test Class for head_attachment """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_attachment_all_params(self): """ head_attachment() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' if_match = 'testString' if_none_match = 'testString' rev = 'testString' # Invoke method response = _service.head_attachment( db, doc_id, attachment_name, if_match=if_match, if_none_match=if_none_match, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'rev={}'.format(rev) in query_string def test_head_attachment_all_params_with_retries(self): # Enable retries and run test_head_attachment_all_params. _service.enable_retries() self.test_head_attachment_all_params() # Disable retries and run test_head_attachment_all_params. _service.disable_retries() self.test_head_attachment_all_params() @responses.activate def test_head_attachment_required_params(self): """ test_head_attachment_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' # Invoke method response = _service.head_attachment( db, doc_id, attachment_name, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_attachment_required_params_with_retries(self): # Enable retries and run test_head_attachment_required_params. _service.enable_retries() self.test_head_attachment_required_params() # Disable retries and run test_head_attachment_required_params. _service.disable_retries() self.test_head_attachment_required_params() @responses.activate def test_head_attachment_value_error(self): """ test_head_attachment_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, "attachment_name": attachment_name, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_attachment(**req_copy) def test_head_attachment_value_error_with_retries(self): # Enable retries and run test_head_attachment_value_error. _service.enable_retries() self.test_head_attachment_value_error() # Disable retries and run test_head_attachment_value_error. _service.disable_retries() self.test_head_attachment_value_error() class TestDeleteAttachment(): """ Test Class for delete_attachment """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_attachment_all_params(self): """ delete_attachment() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' if_match = 'testString' rev = 'testString' batch = 'ok' # Invoke method response = _service.delete_attachment( db, doc_id, attachment_name, if_match=if_match, rev=rev, batch=batch, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'rev={}'.format(rev) in query_string assert 'batch={}'.format(batch) in query_string def test_delete_attachment_all_params_with_retries(self): # Enable retries and run test_delete_attachment_all_params. _service.enable_retries() self.test_delete_attachment_all_params() # Disable retries and run test_delete_attachment_all_params. _service.disable_retries() self.test_delete_attachment_all_params() @responses.activate def test_delete_attachment_required_params(self): """ test_delete_attachment_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' # Invoke method response = _service.delete_attachment( db, doc_id, attachment_name, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 def test_delete_attachment_required_params_with_retries(self): # Enable retries and run test_delete_attachment_required_params. _service.enable_retries() self.test_delete_attachment_required_params() # Disable retries and run test_delete_attachment_required_params. _service.disable_retries() self.test_delete_attachment_required_params() @responses.activate def test_delete_attachment_value_error(self): """ test_delete_attachment_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, "attachment_name": attachment_name, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_attachment(**req_copy) def test_delete_attachment_value_error_with_retries(self): # Enable retries and run test_delete_attachment_value_error. _service.enable_retries() self.test_delete_attachment_value_error() # Disable retries and run test_delete_attachment_value_error. _service.disable_retries() self.test_delete_attachment_value_error() class TestGetAttachment(): """ Test Class for get_attachment """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_attachment_all_params(self): """ get_attachment() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='*/*', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' if_match = 'testString' if_none_match = 'testString' range = 'testString' rev = 'testString' # Invoke method response = _service.get_attachment( db, doc_id, attachment_name, if_match=if_match, if_none_match=if_none_match, range=range, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'rev={}'.format(rev) in query_string def test_get_attachment_all_params_with_retries(self): # Enable retries and run test_get_attachment_all_params. _service.enable_retries() self.test_get_attachment_all_params() # Disable retries and run test_get_attachment_all_params. _service.disable_retries() self.test_get_attachment_all_params() @responses.activate def test_get_attachment_required_params(self): """ test_get_attachment_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='*/*', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' # Invoke method response = _service.get_attachment( db, doc_id, attachment_name, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_attachment_required_params_with_retries(self): # Enable retries and run test_get_attachment_required_params. _service.enable_retries() self.test_get_attachment_required_params() # Disable retries and run test_get_attachment_required_params. _service.disable_retries() self.test_get_attachment_required_params() @responses.activate def test_get_attachment_value_error(self): """ test_get_attachment_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = 'This is a mock binary response.' responses.add(responses.GET, url, body=mock_response, content_type='*/*', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, "attachment_name": attachment_name, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_attachment(**req_copy) def test_get_attachment_value_error_with_retries(self): # Enable retries and run test_get_attachment_value_error. _service.enable_retries() self.test_get_attachment_value_error() # Disable retries and run test_get_attachment_value_error. _service.disable_retries() self.test_get_attachment_value_error() class TestPutAttachment(): """ Test Class for put_attachment """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_attachment_all_params(self): """ put_attachment() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' attachment = io.BytesIO(b'This is a mock file.').getvalue() content_type = 'application/octet-stream' if_match = 'testString' rev = 'testString' # Invoke method response = _service.put_attachment( db, doc_id, attachment_name, attachment, content_type, if_match=if_match, rev=rev, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'rev={}'.format(rev) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_put_attachment_all_params_with_retries(self): # Enable retries and run test_put_attachment_all_params. _service.enable_retries() self.test_put_attachment_all_params() # Disable retries and run test_put_attachment_all_params. _service.disable_retries() self.test_put_attachment_all_params() @responses.activate def test_put_attachment_required_params(self): """ test_put_attachment_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' attachment = io.BytesIO(b'This is a mock file.').getvalue() content_type = 'application/octet-stream' # Invoke method response = _service.put_attachment( db, doc_id, attachment_name, attachment, content_type, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_put_attachment_required_params_with_retries(self): # Enable retries and run test_put_attachment_required_params. _service.enable_retries() self.test_put_attachment_required_params() # Disable retries and run test_put_attachment_required_params. _service.disable_retries() self.test_put_attachment_required_params() @responses.activate def test_put_attachment_value_error(self): """ test_put_attachment_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/testString/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values db = 'testString' doc_id = 'testString' attachment_name = 'testString' attachment = io.BytesIO(b'This is a mock file.').getvalue() content_type = 'application/octet-stream' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, "attachment_name": attachment_name, "attachment": attachment, "content_type": content_type, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_attachment(**req_copy) def test_put_attachment_value_error_with_retries(self): # Enable retries and run test_put_attachment_value_error. _service.enable_retries() self.test_put_attachment_value_error() # Disable retries and run test_put_attachment_value_error. _service.disable_retries() self.test_put_attachment_value_error() # endregion ############################################################################## # End of Service: Attachments ############################################################################## ############################################################################## # Start of Service: LocalDocuments ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadLocalDocument(): """ Test Class for head_local_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_local_document_all_params(self): """ head_local_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' if_none_match = 'testString' # Invoke method response = _service.head_local_document( db, doc_id, if_none_match=if_none_match, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_local_document_all_params_with_retries(self): # Enable retries and run test_head_local_document_all_params. _service.enable_retries() self.test_head_local_document_all_params() # Disable retries and run test_head_local_document_all_params. _service.disable_retries() self.test_head_local_document_all_params() @responses.activate def test_head_local_document_required_params(self): """ test_head_local_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.head_local_document( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_local_document_required_params_with_retries(self): # Enable retries and run test_head_local_document_required_params. _service.enable_retries() self.test_head_local_document_required_params() # Disable retries and run test_head_local_document_required_params. _service.disable_retries() self.test_head_local_document_required_params() @responses.activate def test_head_local_document_value_error(self): """ test_head_local_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') responses.add(responses.HEAD, url, status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.head_local_document(**req_copy) def test_head_local_document_value_error_with_retries(self): # Enable retries and run test_head_local_document_value_error. _service.enable_retries() self.test_head_local_document_value_error() # Disable retries and run test_head_local_document_value_error. _service.disable_retries() self.test_head_local_document_value_error() class TestDeleteLocalDocument(): """ Test Class for delete_local_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_delete_local_document_all_params(self): """ delete_local_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' batch = 'ok' # Invoke method response = _service.delete_local_document( db, doc_id, batch=batch, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string def test_delete_local_document_all_params_with_retries(self): # Enable retries and run test_delete_local_document_all_params. _service.enable_retries() self.test_delete_local_document_all_params() # Disable retries and run test_delete_local_document_all_params. _service.disable_retries() self.test_delete_local_document_all_params() @responses.activate def test_delete_local_document_required_params(self): """ test_delete_local_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.delete_local_document( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_delete_local_document_required_params_with_retries(self): # Enable retries and run test_delete_local_document_required_params. _service.enable_retries() self.test_delete_local_document_required_params() # Disable retries and run test_delete_local_document_required_params. _service.disable_retries() self.test_delete_local_document_required_params() @responses.activate def test_delete_local_document_value_error(self): """ test_delete_local_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.DELETE, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.delete_local_document(**req_copy) def test_delete_local_document_value_error_with_retries(self): # Enable retries and run test_delete_local_document_value_error. _service.enable_retries() self.test_delete_local_document_value_error() # Disable retries and run test_delete_local_document_value_error. _service.disable_retries() self.test_delete_local_document_value_error() class TestGetLocalDocument(): """ Test Class for get_local_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_local_document_all_params(self): """ get_local_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' accept = 'application/json' if_none_match = 'testString' attachments = False att_encoding_info = False local_seq = False # Invoke method response = _service.get_local_document( db, doc_id, accept=accept, if_none_match=if_none_match, attachments=attachments, att_encoding_info=att_encoding_info, local_seq=local_seq, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'attachments={}'.format('true' if attachments else 'false') in query_string assert 'att_encoding_info={}'.format('true' if att_encoding_info else 'false') in query_string assert 'local_seq={}'.format('true' if local_seq else 'false') in query_string def test_get_local_document_all_params_with_retries(self): # Enable retries and run test_get_local_document_all_params. _service.enable_retries() self.test_get_local_document_all_params() # Disable retries and run test_get_local_document_all_params. _service.disable_retries() self.test_get_local_document_all_params() @responses.activate def test_get_local_document_required_params(self): """ test_get_local_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.get_local_document( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_local_document_required_params_with_retries(self): # Enable retries and run test_get_local_document_required_params. _service.enable_retries() self.test_get_local_document_required_params() # Disable retries and run test_get_local_document_required_params. _service.disable_retries() self.test_get_local_document_required_params() @responses.activate def test_get_local_document_value_error(self): """ test_get_local_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"_attachments": {"mapKey": {"content_type": "content_type", "data": "VGhpcyBpcyBhbiBlbmNvZGVkIGJ5dGUgYXJyYXku", "digest": "digest", "encoded_length": 0, "encoding": "encoding", "follows": false, "length": 0, "revpos": 1, "stub": true}}, "_conflicts": ["conflicts"], "_deleted": false, "_deleted_conflicts": ["deleted_conflicts"], "_id": "id", "_local_seq": "local_seq", "_rev": "rev", "_revisions": {"ids": ["ids"], "start": 1}, "_revs_info": [{"rev": "rev", "status": "available"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_local_document(**req_copy) def test_get_local_document_value_error_with_retries(self): # Enable retries and run test_get_local_document_value_error. _service.enable_retries() self.test_get_local_document_value_error() # Disable retries and run test_get_local_document_value_error. _service.disable_retries() self.test_get_local_document_value_error() class TestPutLocalDocument(): """ Test Class for put_local_document """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_put_local_document_all_params(self): """ put_local_document() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'exampleid' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['brand'] = 'Foo' document_model['colours'] = '["red","green","black","blue"]' document_model['description'] = 'Slim Colourful Design Electronic Cooking Appliance for ...' document_model['image'] = 'assets/img/0gmsnghhew.jpg' document_model['keywords'] = '["Foo","Scales","Weight","Digital","Kitchen"]' document_model['name'] = 'Digital Kitchen Scales' document_model['price'] = '14.99' document_model['productid'] = '1000042' document_model['taxonomy'] = '["Home","Kitchen","Small Appliances"]' document_model['type'] = 'product' # Set up parameter values db = 'testString' doc_id = 'testString' document = document_model content_type = 'application/json' batch = 'ok' # Invoke method response = _service.put_local_document( db, doc_id, document, content_type=content_type, batch=batch, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = urllib.parse.unquote_plus(query_string) assert 'batch={}'.format(batch) in query_string # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_put_local_document_all_params_with_retries(self): # Enable retries and run test_put_local_document_all_params. _service.enable_retries() self.test_put_local_document_all_params() # Disable retries and run test_put_local_document_all_params. _service.disable_retries() self.test_put_local_document_all_params() @responses.activate def test_put_local_document_required_params(self): """ test_put_local_document_required_params() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'exampleid' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['brand'] = 'Foo' document_model['colours'] = '["red","green","black","blue"]' document_model['description'] = 'Slim Colourful Design Electronic Cooking Appliance for ...' document_model['image'] = 'assets/img/0gmsnghhew.jpg' document_model['keywords'] = '["Foo","Scales","Weight","Digital","Kitchen"]' document_model['name'] = 'Digital Kitchen Scales' document_model['price'] = '14.99' document_model['productid'] = '1000042' document_model['taxonomy'] = '["Home","Kitchen","Small Appliances"]' document_model['type'] = 'product' # Set up parameter values db = 'testString' doc_id = 'testString' document = document_model # Invoke method response = _service.put_local_document( db, doc_id, document, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params def test_put_local_document_required_params_with_retries(self): # Enable retries and run test_put_local_document_required_params. _service.enable_retries() self.test_put_local_document_required_params() # Disable retries and run test_put_local_document_required_params. _service.disable_retries() self.test_put_local_document_required_params() @responses.activate def test_put_local_document_value_error(self): """ test_put_local_document_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_local/testString') mock_response = '{"id": "id", "rev": "rev", "ok": true, "caused_by": "caused_by", "error": "error", "reason": "reason"}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Attachment model attachment_model = {} attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True # Construct a dict representation of a Revisions model revisions_model = {} revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 # Construct a dict representation of a DocumentRevisionStatus model document_revision_status_model = {} document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a dict representation of a Document model document_model = {} document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'exampleid' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['brand'] = 'Foo' document_model['colours'] = '["red","green","black","blue"]' document_model['description'] = 'Slim Colourful Design Electronic Cooking Appliance for ...' document_model['image'] = 'assets/img/0gmsnghhew.jpg' document_model['keywords'] = '["Foo","Scales","Weight","Digital","Kitchen"]' document_model['name'] = 'Digital Kitchen Scales' document_model['price'] = '14.99' document_model['productid'] = '1000042' document_model['taxonomy'] = '["Home","Kitchen","Small Appliances"]' document_model['type'] = 'product' # Set up parameter values db = 'testString' doc_id = 'testString' document = document_model # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, "document": document, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.put_local_document(**req_copy) def test_put_local_document_value_error_with_retries(self): # Enable retries and run test_put_local_document_value_error. _service.enable_retries() self.test_put_local_document_value_error() # Disable retries and run test_put_local_document_value_error. _service.disable_retries() self.test_put_local_document_value_error() # endregion ############################################################################## # End of Service: LocalDocuments ############################################################################## ############################################################################## # Start of Service: DatabaseDetails ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestPostRevsDiff(): """ Test Class for post_revs_diff """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_revs_diff_all_params(self): """ post_revs_diff() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_revs_diff') mock_response = '{"mapKey": {"missing": ["missing"], "possible_ancestors": ["possible_ancestors"]}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' document_revisions = {} # Invoke method response = _service.post_revs_diff( db, document_revisions, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body == document_revisions def test_post_revs_diff_all_params_with_retries(self): # Enable retries and run test_post_revs_diff_all_params. _service.enable_retries() self.test_post_revs_diff_all_params() # Disable retries and run test_post_revs_diff_all_params. _service.disable_retries() self.test_post_revs_diff_all_params() @responses.activate def test_post_revs_diff_value_error(self): """ test_post_revs_diff_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_revs_diff') mock_response = '{"mapKey": {"missing": ["missing"], "possible_ancestors": ["possible_ancestors"]}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' document_revisions = {} # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "document_revisions": document_revisions, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_revs_diff(**req_copy) def test_post_revs_diff_value_error_with_retries(self): # Enable retries and run test_post_revs_diff_value_error. _service.enable_retries() self.test_post_revs_diff_value_error() # Disable retries and run test_post_revs_diff_value_error. _service.disable_retries() self.test_post_revs_diff_value_error() class TestGetShardsInformation(): """ Test Class for get_shards_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_shards_information_all_params(self): """ get_shards_information() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_shards') mock_response = '{"shards": {"mapKey": ["inner"]}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Invoke method response = _service.get_shards_information( db, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_shards_information_all_params_with_retries(self): # Enable retries and run test_get_shards_information_all_params. _service.enable_retries() self.test_get_shards_information_all_params() # Disable retries and run test_get_shards_information_all_params. _service.disable_retries() self.test_get_shards_information_all_params() @responses.activate def test_get_shards_information_value_error(self): """ test_get_shards_information_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_shards') mock_response = '{"shards": {"mapKey": ["inner"]}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_shards_information(**req_copy) def test_get_shards_information_value_error_with_retries(self): # Enable retries and run test_get_shards_information_value_error. _service.enable_retries() self.test_get_shards_information_value_error() # Disable retries and run test_get_shards_information_value_error. _service.disable_retries() self.test_get_shards_information_value_error() class TestGetDocumentShardsInfo(): """ Test Class for get_document_shards_info """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_document_shards_info_all_params(self): """ get_document_shards_info() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_shards/testString') mock_response = '{"nodes": ["nodes"], "range": "range"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Invoke method response = _service.get_document_shards_info( db, doc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_document_shards_info_all_params_with_retries(self): # Enable retries and run test_get_document_shards_info_all_params. _service.enable_retries() self.test_get_document_shards_info_all_params() # Disable retries and run test_get_document_shards_info_all_params. _service.disable_retries() self.test_get_document_shards_info_all_params() @responses.activate def test_get_document_shards_info_value_error(self): """ test_get_document_shards_info_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/testString/_shards/testString') mock_response = '{"nodes": ["nodes"], "range": "range"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values db = 'testString' doc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "db": db, "doc_id": doc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.get_document_shards_info(**req_copy) def test_get_document_shards_info_value_error_with_retries(self): # Enable retries and run test_get_document_shards_info_value_error. _service.enable_retries() self.test_get_document_shards_info_value_error() # Disable retries and run test_get_document_shards_info_value_error. _service.disable_retries() self.test_get_document_shards_info_value_error() # endregion ############################################################################## # End of Service: DatabaseDetails ############################################################################## ############################################################################## # Start of Service: Monitoring ############################################################################## # region class TestNewInstance(): """ Test Class for new_instance """ def test_new_instance(self): """ new_instance() """ os.environ['TEST_SERVICE_AUTH_TYPE'] = 'noAuth' service = CloudantV1.new_instance( service_name='TEST_SERVICE', ) assert service is not None assert isinstance(service, CloudantV1) def test_new_instance_without_authenticator(self): """ new_instance_without_authenticator() """ with pytest.raises(ValueError, match='authenticator must be provided'): service = CloudantV1.new_instance( ) class TestHeadUpInformation(): """ Test Class for head_up_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_head_up_information_all_params(self): """ head_up_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_up') responses.add(responses.HEAD, url, status=200) # Invoke method response = _service.head_up_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_head_up_information_all_params_with_retries(self): # Enable retries and run test_head_up_information_all_params. _service.enable_retries() self.test_head_up_information_all_params() # Disable retries and run test_head_up_information_all_params. _service.disable_retries() self.test_head_up_information_all_params() class TestGetActiveTasks(): """ Test Class for get_active_tasks """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_active_tasks_all_params(self): """ get_active_tasks() """ # Set up mock url = self.preprocess_url(_base_url + '/_active_tasks') mock_response = '[{"changes_done": 0, "database": "database", "node": "node", "pid": "pid", "progress": 0, "started_on": 0, "status": "status", "task": "task", "total_changes": 0, "type": "type", "updated_on": 0}]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_active_tasks() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_active_tasks_all_params_with_retries(self): # Enable retries and run test_get_active_tasks_all_params. _service.enable_retries() self.test_get_active_tasks_all_params() # Disable retries and run test_get_active_tasks_all_params. _service.disable_retries() self.test_get_active_tasks_all_params() class TestGetUpInformation(): """ Test Class for get_up_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_up_information_all_params(self): """ get_up_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_up') mock_response = '{"seeds": {"anyKey": "anyValue"}, "status": "maintenance_mode"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_up_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_up_information_all_params_with_retries(self): # Enable retries and run test_get_up_information_all_params. _service.enable_retries() self.test_get_up_information_all_params() # Disable retries and run test_get_up_information_all_params. _service.disable_retries() self.test_get_up_information_all_params() class TestGetActivityTrackerEvents(): """ Test Class for get_activity_tracker_events """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_activity_tracker_events_all_params(self): """ get_activity_tracker_events() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/activity_tracker/events') mock_response = '{"types": ["management"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_activity_tracker_events() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_activity_tracker_events_all_params_with_retries(self): # Enable retries and run test_get_activity_tracker_events_all_params. _service.enable_retries() self.test_get_activity_tracker_events_all_params() # Disable retries and run test_get_activity_tracker_events_all_params. _service.disable_retries() self.test_get_activity_tracker_events_all_params() class TestPostActivityTrackerEvents(): """ Test Class for post_activity_tracker_events """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_post_activity_tracker_events_all_params(self): """ post_activity_tracker_events() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/activity_tracker/events') mock_response = '{"ok": true}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values types = ['management'] # Invoke method response = _service.post_activity_tracker_events( types, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # decompress gzip compressed request body responses.calls[0].request.body = gzip.decompress(responses.calls[0].request.body) # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['types'] == ['management'] def test_post_activity_tracker_events_all_params_with_retries(self): # Enable retries and run test_post_activity_tracker_events_all_params. _service.enable_retries() self.test_post_activity_tracker_events_all_params() # Disable retries and run test_post_activity_tracker_events_all_params. _service.disable_retries() self.test_post_activity_tracker_events_all_params() @responses.activate def test_post_activity_tracker_events_value_error(self): """ test_post_activity_tracker_events_value_error() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/activity_tracker/events') mock_response = '{"ok": true}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values types = ['management'] # Pass in all but one required param and check for a ValueError req_param_dict = { "types": types, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): _service.post_activity_tracker_events(**req_copy) def test_post_activity_tracker_events_value_error_with_retries(self): # Enable retries and run test_post_activity_tracker_events_value_error. _service.enable_retries() self.test_post_activity_tracker_events_value_error() # Disable retries and run test_post_activity_tracker_events_value_error. _service.disable_retries() self.test_post_activity_tracker_events_value_error() class TestGetCurrentThroughputInformation(): """ Test Class for get_current_throughput_information """ def preprocess_url(self, request_url: str): """ Preprocess the request URL to ensure the mock response will be found. """ request_url = urllib.parse.unquote(request_url) # don't double-encode if already encoded request_url = urllib.parse.quote(request_url, safe=':/') if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') @responses.activate def test_get_current_throughput_information_all_params(self): """ get_current_throughput_information() """ # Set up mock url = self.preprocess_url(_base_url + '/_api/v2/user/current/throughput') mock_response = '{"throughput": {"query": 0, "read": 0, "write": 0}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = _service.get_current_throughput_information() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 def test_get_current_throughput_information_all_params_with_retries(self): # Enable retries and run test_get_current_throughput_information_all_params. _service.enable_retries() self.test_get_current_throughput_information_all_params() # Disable retries and run test_get_current_throughput_information_all_params. _service.disable_retries() self.test_get_current_throughput_information_all_params() # endregion ############################################################################## # End of Service: Monitoring ############################################################################## ############################################################################## # Start of Model Tests ############################################################################## # region class TestModel_ActiveTask(): """ Test Class for ActiveTask """ def test_active_task_serialization(self): """ Test serialization/deserialization for ActiveTask """ # Construct a json representation of a ActiveTask model active_task_model_json = {} active_task_model_json['changes_done'] = 0 active_task_model_json['database'] = 'testString' active_task_model_json['node'] = 'testString' active_task_model_json['pid'] = 'testString' active_task_model_json['progress'] = 0 active_task_model_json['started_on'] = 0 active_task_model_json['status'] = 'testString' active_task_model_json['task'] = 'testString' active_task_model_json['total_changes'] = 0 active_task_model_json['type'] = 'testString' active_task_model_json['updated_on'] = 0 # Construct a model instance of ActiveTask by calling from_dict on the json representation active_task_model = ActiveTask.from_dict(active_task_model_json) assert active_task_model != False # Construct a model instance of ActiveTask by calling from_dict on the json representation active_task_model_dict = ActiveTask.from_dict(active_task_model_json).__dict__ active_task_model2 = ActiveTask(**active_task_model_dict) # Verify the model instances are equivalent assert active_task_model == active_task_model2 # Convert model instance back to dict and verify no loss of data active_task_model_json2 = active_task_model.to_dict() assert active_task_model_json2 == active_task_model_json class TestModel_ActivityTrackerEvents(): """ Test Class for ActivityTrackerEvents """ def test_activity_tracker_events_serialization(self): """ Test serialization/deserialization for ActivityTrackerEvents """ # Construct a json representation of a ActivityTrackerEvents model activity_tracker_events_model_json = {} activity_tracker_events_model_json['types'] = ['management'] # Construct a model instance of ActivityTrackerEvents by calling from_dict on the json representation activity_tracker_events_model = ActivityTrackerEvents.from_dict(activity_tracker_events_model_json) assert activity_tracker_events_model != False # Construct a model instance of ActivityTrackerEvents by calling from_dict on the json representation activity_tracker_events_model_dict = ActivityTrackerEvents.from_dict(activity_tracker_events_model_json).__dict__ activity_tracker_events_model2 = ActivityTrackerEvents(**activity_tracker_events_model_dict) # Verify the model instances are equivalent assert activity_tracker_events_model == activity_tracker_events_model2 # Convert model instance back to dict and verify no loss of data activity_tracker_events_model_json2 = activity_tracker_events_model.to_dict() assert activity_tracker_events_model_json2 == activity_tracker_events_model_json class TestModel_AllDocsQueriesResult(): """ Test Class for AllDocsQueriesResult """ def test_all_docs_queries_result_serialization(self): """ Test serialization/deserialization for AllDocsQueriesResult """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' docs_result_row_value_model = {} # DocsResultRowValue docs_result_row_value_model['rev'] = 'testString' docs_result_row_model = {} # DocsResultRow docs_result_row_model['caused_by'] = 'testString' docs_result_row_model['error'] = 'testString' docs_result_row_model['reason'] = 'testString' docs_result_row_model['doc'] = document_model docs_result_row_model['id'] = 'testString' docs_result_row_model['key'] = 'testString' docs_result_row_model['value'] = docs_result_row_value_model all_docs_result_model = {} # AllDocsResult all_docs_result_model['total_rows'] = 0 all_docs_result_model['rows'] = [docs_result_row_model] all_docs_result_model['update_seq'] = 'testString' # Construct a json representation of a AllDocsQueriesResult model all_docs_queries_result_model_json = {} all_docs_queries_result_model_json['results'] = [all_docs_result_model] # Construct a model instance of AllDocsQueriesResult by calling from_dict on the json representation all_docs_queries_result_model = AllDocsQueriesResult.from_dict(all_docs_queries_result_model_json) assert all_docs_queries_result_model != False # Construct a model instance of AllDocsQueriesResult by calling from_dict on the json representation all_docs_queries_result_model_dict = AllDocsQueriesResult.from_dict(all_docs_queries_result_model_json).__dict__ all_docs_queries_result_model2 = AllDocsQueriesResult(**all_docs_queries_result_model_dict) # Verify the model instances are equivalent assert all_docs_queries_result_model == all_docs_queries_result_model2 # Convert model instance back to dict and verify no loss of data all_docs_queries_result_model_json2 = all_docs_queries_result_model.to_dict() assert all_docs_queries_result_model_json2 == all_docs_queries_result_model_json class TestModel_AllDocsQuery(): """ Test Class for AllDocsQuery """ def test_all_docs_query_serialization(self): """ Test serialization/deserialization for AllDocsQuery """ # Construct a json representation of a AllDocsQuery model all_docs_query_model_json = {} all_docs_query_model_json['att_encoding_info'] = False all_docs_query_model_json['attachments'] = False all_docs_query_model_json['conflicts'] = False all_docs_query_model_json['descending'] = False all_docs_query_model_json['include_docs'] = False all_docs_query_model_json['inclusive_end'] = True all_docs_query_model_json['limit'] = 0 all_docs_query_model_json['skip'] = 0 all_docs_query_model_json['update_seq'] = False all_docs_query_model_json['endkey'] = 'testString' all_docs_query_model_json['key'] = 'testString' all_docs_query_model_json['keys'] = ['testString'] all_docs_query_model_json['startkey'] = 'testString' # Construct a model instance of AllDocsQuery by calling from_dict on the json representation all_docs_query_model = AllDocsQuery.from_dict(all_docs_query_model_json) assert all_docs_query_model != False # Construct a model instance of AllDocsQuery by calling from_dict on the json representation all_docs_query_model_dict = AllDocsQuery.from_dict(all_docs_query_model_json).__dict__ all_docs_query_model2 = AllDocsQuery(**all_docs_query_model_dict) # Verify the model instances are equivalent assert all_docs_query_model == all_docs_query_model2 # Convert model instance back to dict and verify no loss of data all_docs_query_model_json2 = all_docs_query_model.to_dict() assert all_docs_query_model_json2 == all_docs_query_model_json class TestModel_AllDocsResult(): """ Test Class for AllDocsResult """ def test_all_docs_result_serialization(self): """ Test serialization/deserialization for AllDocsResult """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' docs_result_row_value_model = {} # DocsResultRowValue docs_result_row_value_model['rev'] = 'testString' docs_result_row_model = {} # DocsResultRow docs_result_row_model['caused_by'] = 'testString' docs_result_row_model['error'] = 'testString' docs_result_row_model['reason'] = 'testString' docs_result_row_model['doc'] = document_model docs_result_row_model['id'] = 'testString' docs_result_row_model['key'] = 'testString' docs_result_row_model['value'] = docs_result_row_value_model # Construct a json representation of a AllDocsResult model all_docs_result_model_json = {} all_docs_result_model_json['total_rows'] = 0 all_docs_result_model_json['rows'] = [docs_result_row_model] all_docs_result_model_json['update_seq'] = 'testString' # Construct a model instance of AllDocsResult by calling from_dict on the json representation all_docs_result_model = AllDocsResult.from_dict(all_docs_result_model_json) assert all_docs_result_model != False # Construct a model instance of AllDocsResult by calling from_dict on the json representation all_docs_result_model_dict = AllDocsResult.from_dict(all_docs_result_model_json).__dict__ all_docs_result_model2 = AllDocsResult(**all_docs_result_model_dict) # Verify the model instances are equivalent assert all_docs_result_model == all_docs_result_model2 # Convert model instance back to dict and verify no loss of data all_docs_result_model_json2 = all_docs_result_model.to_dict() assert all_docs_result_model_json2 == all_docs_result_model_json class TestModel_Analyzer(): """ Test Class for Analyzer """ def test_analyzer_serialization(self): """ Test serialization/deserialization for Analyzer """ # Construct a json representation of a Analyzer model analyzer_model_json = {} analyzer_model_json['name'] = 'classic' analyzer_model_json['stopwords'] = ['testString'] # Construct a model instance of Analyzer by calling from_dict on the json representation analyzer_model = Analyzer.from_dict(analyzer_model_json) assert analyzer_model != False # Construct a model instance of Analyzer by calling from_dict on the json representation analyzer_model_dict = Analyzer.from_dict(analyzer_model_json).__dict__ analyzer_model2 = Analyzer(**analyzer_model_dict) # Verify the model instances are equivalent assert analyzer_model == analyzer_model2 # Convert model instance back to dict and verify no loss of data analyzer_model_json2 = analyzer_model.to_dict() assert analyzer_model_json2 == analyzer_model_json class TestModel_AnalyzerConfiguration(): """ Test Class for AnalyzerConfiguration """ def test_analyzer_configuration_serialization(self): """ Test serialization/deserialization for AnalyzerConfiguration """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a json representation of a AnalyzerConfiguration model analyzer_configuration_model_json = {} analyzer_configuration_model_json['name'] = 'classic' analyzer_configuration_model_json['stopwords'] = ['testString'] analyzer_configuration_model_json['fields'] = {} # Construct a model instance of AnalyzerConfiguration by calling from_dict on the json representation analyzer_configuration_model = AnalyzerConfiguration.from_dict(analyzer_configuration_model_json) assert analyzer_configuration_model != False # Construct a model instance of AnalyzerConfiguration by calling from_dict on the json representation analyzer_configuration_model_dict = AnalyzerConfiguration.from_dict(analyzer_configuration_model_json).__dict__ analyzer_configuration_model2 = AnalyzerConfiguration(**analyzer_configuration_model_dict) # Verify the model instances are equivalent assert analyzer_configuration_model == analyzer_configuration_model2 # Convert model instance back to dict and verify no loss of data analyzer_configuration_model_json2 = analyzer_configuration_model.to_dict() assert analyzer_configuration_model_json2 == analyzer_configuration_model_json class TestModel_ApiKeysResult(): """ Test Class for ApiKeysResult """ def test_api_keys_result_serialization(self): """ Test serialization/deserialization for ApiKeysResult """ # Construct a json representation of a ApiKeysResult model api_keys_result_model_json = {} api_keys_result_model_json['ok'] = True api_keys_result_model_json['key'] = 'testString' api_keys_result_model_json['password'] = 'testString' # Construct a model instance of ApiKeysResult by calling from_dict on the json representation api_keys_result_model = ApiKeysResult.from_dict(api_keys_result_model_json) assert api_keys_result_model != False # Construct a model instance of ApiKeysResult by calling from_dict on the json representation api_keys_result_model_dict = ApiKeysResult.from_dict(api_keys_result_model_json).__dict__ api_keys_result_model2 = ApiKeysResult(**api_keys_result_model_dict) # Verify the model instances are equivalent assert api_keys_result_model == api_keys_result_model2 # Convert model instance back to dict and verify no loss of data api_keys_result_model_json2 = api_keys_result_model.to_dict() assert api_keys_result_model_json2 == api_keys_result_model_json class TestModel_Attachment(): """ Test Class for Attachment """ def test_attachment_serialization(self): """ Test serialization/deserialization for Attachment """ # Construct a json representation of a Attachment model attachment_model_json = {} attachment_model_json['content_type'] = 'testString' attachment_model_json['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model_json['digest'] = 'testString' attachment_model_json['encoded_length'] = 0 attachment_model_json['encoding'] = 'testString' attachment_model_json['follows'] = True attachment_model_json['length'] = 0 attachment_model_json['revpos'] = 1 attachment_model_json['stub'] = True # Construct a model instance of Attachment by calling from_dict on the json representation attachment_model = Attachment.from_dict(attachment_model_json) assert attachment_model != False # Construct a model instance of Attachment by calling from_dict on the json representation attachment_model_dict = Attachment.from_dict(attachment_model_json).__dict__ attachment_model2 = Attachment(**attachment_model_dict) # Verify the model instances are equivalent assert attachment_model == attachment_model2 # Convert model instance back to dict and verify no loss of data attachment_model_json2 = attachment_model.to_dict() assert attachment_model_json2 == attachment_model_json class TestModel_BulkDocs(): """ Test Class for BulkDocs """ def test_bulk_docs_serialization(self): """ Test serialization/deserialization for BulkDocs """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a json representation of a BulkDocs model bulk_docs_model_json = {} bulk_docs_model_json['docs'] = [document_model] bulk_docs_model_json['new_edits'] = True # Construct a model instance of BulkDocs by calling from_dict on the json representation bulk_docs_model = BulkDocs.from_dict(bulk_docs_model_json) assert bulk_docs_model != False # Construct a model instance of BulkDocs by calling from_dict on the json representation bulk_docs_model_dict = BulkDocs.from_dict(bulk_docs_model_json).__dict__ bulk_docs_model2 = BulkDocs(**bulk_docs_model_dict) # Verify the model instances are equivalent assert bulk_docs_model == bulk_docs_model2 # Convert model instance back to dict and verify no loss of data bulk_docs_model_json2 = bulk_docs_model.to_dict() assert bulk_docs_model_json2 == bulk_docs_model_json class TestModel_BulkGetQueryDocument(): """ Test Class for BulkGetQueryDocument """ def test_bulk_get_query_document_serialization(self): """ Test serialization/deserialization for BulkGetQueryDocument """ # Construct a json representation of a BulkGetQueryDocument model bulk_get_query_document_model_json = {} bulk_get_query_document_model_json['atts_since'] = ['1-99b02e08da151943c2dcb40090160bb8'] bulk_get_query_document_model_json['id'] = 'testString' bulk_get_query_document_model_json['rev'] = 'testString' # Construct a model instance of BulkGetQueryDocument by calling from_dict on the json representation bulk_get_query_document_model = BulkGetQueryDocument.from_dict(bulk_get_query_document_model_json) assert bulk_get_query_document_model != False # Construct a model instance of BulkGetQueryDocument by calling from_dict on the json representation bulk_get_query_document_model_dict = BulkGetQueryDocument.from_dict(bulk_get_query_document_model_json).__dict__ bulk_get_query_document_model2 = BulkGetQueryDocument(**bulk_get_query_document_model_dict) # Verify the model instances are equivalent assert bulk_get_query_document_model == bulk_get_query_document_model2 # Convert model instance back to dict and verify no loss of data bulk_get_query_document_model_json2 = bulk_get_query_document_model.to_dict() assert bulk_get_query_document_model_json2 == bulk_get_query_document_model_json class TestModel_BulkGetResult(): """ Test Class for BulkGetResult """ def test_bulk_get_result_serialization(self): """ Test serialization/deserialization for BulkGetResult """ # Construct dict forms of any model objects needed in order to build this model. document_result_model = {} # DocumentResult document_result_model['id'] = 'testString' document_result_model['rev'] = 'testString' document_result_model['ok'] = True document_result_model['caused_by'] = 'testString' document_result_model['error'] = 'testString' document_result_model['reason'] = 'testString' attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' bulk_get_result_document_model = {} # BulkGetResultDocument bulk_get_result_document_model['error'] = document_result_model bulk_get_result_document_model['ok'] = document_model bulk_get_result_item_model = {} # BulkGetResultItem bulk_get_result_item_model['docs'] = [bulk_get_result_document_model] bulk_get_result_item_model['id'] = 'testString' # Construct a json representation of a BulkGetResult model bulk_get_result_model_json = {} bulk_get_result_model_json['results'] = [bulk_get_result_item_model] # Construct a model instance of BulkGetResult by calling from_dict on the json representation bulk_get_result_model = BulkGetResult.from_dict(bulk_get_result_model_json) assert bulk_get_result_model != False # Construct a model instance of BulkGetResult by calling from_dict on the json representation bulk_get_result_model_dict = BulkGetResult.from_dict(bulk_get_result_model_json).__dict__ bulk_get_result_model2 = BulkGetResult(**bulk_get_result_model_dict) # Verify the model instances are equivalent assert bulk_get_result_model == bulk_get_result_model2 # Convert model instance back to dict and verify no loss of data bulk_get_result_model_json2 = bulk_get_result_model.to_dict() assert bulk_get_result_model_json2 == bulk_get_result_model_json class TestModel_BulkGetResultDocument(): """ Test Class for BulkGetResultDocument """ def test_bulk_get_result_document_serialization(self): """ Test serialization/deserialization for BulkGetResultDocument """ # Construct dict forms of any model objects needed in order to build this model. document_result_model = {} # DocumentResult document_result_model['id'] = 'testString' document_result_model['rev'] = 'testString' document_result_model['ok'] = True document_result_model['caused_by'] = 'testString' document_result_model['error'] = 'testString' document_result_model['reason'] = 'testString' attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a json representation of a BulkGetResultDocument model bulk_get_result_document_model_json = {} bulk_get_result_document_model_json['error'] = document_result_model bulk_get_result_document_model_json['ok'] = document_model # Construct a model instance of BulkGetResultDocument by calling from_dict on the json representation bulk_get_result_document_model = BulkGetResultDocument.from_dict(bulk_get_result_document_model_json) assert bulk_get_result_document_model != False # Construct a model instance of BulkGetResultDocument by calling from_dict on the json representation bulk_get_result_document_model_dict = BulkGetResultDocument.from_dict(bulk_get_result_document_model_json).__dict__ bulk_get_result_document_model2 = BulkGetResultDocument(**bulk_get_result_document_model_dict) # Verify the model instances are equivalent assert bulk_get_result_document_model == bulk_get_result_document_model2 # Convert model instance back to dict and verify no loss of data bulk_get_result_document_model_json2 = bulk_get_result_document_model.to_dict() assert bulk_get_result_document_model_json2 == bulk_get_result_document_model_json class TestModel_BulkGetResultItem(): """ Test Class for BulkGetResultItem """ def test_bulk_get_result_item_serialization(self): """ Test serialization/deserialization for BulkGetResultItem """ # Construct dict forms of any model objects needed in order to build this model. document_result_model = {} # DocumentResult document_result_model['id'] = 'testString' document_result_model['rev'] = 'testString' document_result_model['ok'] = True document_result_model['caused_by'] = 'testString' document_result_model['error'] = 'testString' document_result_model['reason'] = 'testString' attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' bulk_get_result_document_model = {} # BulkGetResultDocument bulk_get_result_document_model['error'] = document_result_model bulk_get_result_document_model['ok'] = document_model # Construct a json representation of a BulkGetResultItem model bulk_get_result_item_model_json = {} bulk_get_result_item_model_json['docs'] = [bulk_get_result_document_model] bulk_get_result_item_model_json['id'] = 'testString' # Construct a model instance of BulkGetResultItem by calling from_dict on the json representation bulk_get_result_item_model = BulkGetResultItem.from_dict(bulk_get_result_item_model_json) assert bulk_get_result_item_model != False # Construct a model instance of BulkGetResultItem by calling from_dict on the json representation bulk_get_result_item_model_dict = BulkGetResultItem.from_dict(bulk_get_result_item_model_json).__dict__ bulk_get_result_item_model2 = BulkGetResultItem(**bulk_get_result_item_model_dict) # Verify the model instances are equivalent assert bulk_get_result_item_model == bulk_get_result_item_model2 # Convert model instance back to dict and verify no loss of data bulk_get_result_item_model_json2 = bulk_get_result_item_model.to_dict() assert bulk_get_result_item_model_json2 == bulk_get_result_item_model_json class TestModel_CapacityThroughputInformation(): """ Test Class for CapacityThroughputInformation """ def test_capacity_throughput_information_serialization(self): """ Test serialization/deserialization for CapacityThroughputInformation """ # Construct dict forms of any model objects needed in order to build this model. throughput_information_model = {} # ThroughputInformation throughput_information_model['blocks'] = 0 throughput_information_model['query'] = 0 throughput_information_model['read'] = 0 throughput_information_model['write'] = 0 capacity_throughput_information_current_model = {} # CapacityThroughputInformationCurrent capacity_throughput_information_current_model['throughput'] = throughput_information_model capacity_throughput_information_target_model = {} # CapacityThroughputInformationTarget capacity_throughput_information_target_model['throughput'] = throughput_information_model # Construct a json representation of a CapacityThroughputInformation model capacity_throughput_information_model_json = {} capacity_throughput_information_model_json['current'] = capacity_throughput_information_current_model capacity_throughput_information_model_json['target'] = capacity_throughput_information_target_model # Construct a model instance of CapacityThroughputInformation by calling from_dict on the json representation capacity_throughput_information_model = CapacityThroughputInformation.from_dict(capacity_throughput_information_model_json) assert capacity_throughput_information_model != False # Construct a model instance of CapacityThroughputInformation by calling from_dict on the json representation capacity_throughput_information_model_dict = CapacityThroughputInformation.from_dict(capacity_throughput_information_model_json).__dict__ capacity_throughput_information_model2 = CapacityThroughputInformation(**capacity_throughput_information_model_dict) # Verify the model instances are equivalent assert capacity_throughput_information_model == capacity_throughput_information_model2 # Convert model instance back to dict and verify no loss of data capacity_throughput_information_model_json2 = capacity_throughput_information_model.to_dict() assert capacity_throughput_information_model_json2 == capacity_throughput_information_model_json class TestModel_CapacityThroughputInformationCurrent(): """ Test Class for CapacityThroughputInformationCurrent """ def test_capacity_throughput_information_current_serialization(self): """ Test serialization/deserialization for CapacityThroughputInformationCurrent """ # Construct dict forms of any model objects needed in order to build this model. throughput_information_model = {} # ThroughputInformation throughput_information_model['blocks'] = 0 throughput_information_model['query'] = 0 throughput_information_model['read'] = 0 throughput_information_model['write'] = 0 # Construct a json representation of a CapacityThroughputInformationCurrent model capacity_throughput_information_current_model_json = {} capacity_throughput_information_current_model_json['throughput'] = throughput_information_model # Construct a model instance of CapacityThroughputInformationCurrent by calling from_dict on the json representation capacity_throughput_information_current_model = CapacityThroughputInformationCurrent.from_dict(capacity_throughput_information_current_model_json) assert capacity_throughput_information_current_model != False # Construct a model instance of CapacityThroughputInformationCurrent by calling from_dict on the json representation capacity_throughput_information_current_model_dict = CapacityThroughputInformationCurrent.from_dict(capacity_throughput_information_current_model_json).__dict__ capacity_throughput_information_current_model2 = CapacityThroughputInformationCurrent(**capacity_throughput_information_current_model_dict) # Verify the model instances are equivalent assert capacity_throughput_information_current_model == capacity_throughput_information_current_model2 # Convert model instance back to dict and verify no loss of data capacity_throughput_information_current_model_json2 = capacity_throughput_information_current_model.to_dict() assert capacity_throughput_information_current_model_json2 == capacity_throughput_information_current_model_json class TestModel_CapacityThroughputInformationTarget(): """ Test Class for CapacityThroughputInformationTarget """ def test_capacity_throughput_information_target_serialization(self): """ Test serialization/deserialization for CapacityThroughputInformationTarget """ # Construct dict forms of any model objects needed in order to build this model. throughput_information_model = {} # ThroughputInformation throughput_information_model['blocks'] = 0 throughput_information_model['query'] = 0 throughput_information_model['read'] = 0 throughput_information_model['write'] = 0 # Construct a json representation of a CapacityThroughputInformationTarget model capacity_throughput_information_target_model_json = {} capacity_throughput_information_target_model_json['throughput'] = throughput_information_model # Construct a model instance of CapacityThroughputInformationTarget by calling from_dict on the json representation capacity_throughput_information_target_model = CapacityThroughputInformationTarget.from_dict(capacity_throughput_information_target_model_json) assert capacity_throughput_information_target_model != False # Construct a model instance of CapacityThroughputInformationTarget by calling from_dict on the json representation capacity_throughput_information_target_model_dict = CapacityThroughputInformationTarget.from_dict(capacity_throughput_information_target_model_json).__dict__ capacity_throughput_information_target_model2 = CapacityThroughputInformationTarget(**capacity_throughput_information_target_model_dict) # Verify the model instances are equivalent assert capacity_throughput_information_target_model == capacity_throughput_information_target_model2 # Convert model instance back to dict and verify no loss of data capacity_throughput_information_target_model_json2 = capacity_throughput_information_target_model.to_dict() assert capacity_throughput_information_target_model_json2 == capacity_throughput_information_target_model_json class TestModel_Change(): """ Test Class for Change """ def test_change_serialization(self): """ Test serialization/deserialization for Change """ # Construct a json representation of a Change model change_model_json = {} change_model_json['rev'] = 'testString' # Construct a model instance of Change by calling from_dict on the json representation change_model = Change.from_dict(change_model_json) assert change_model != False # Construct a model instance of Change by calling from_dict on the json representation change_model_dict = Change.from_dict(change_model_json).__dict__ change_model2 = Change(**change_model_dict) # Verify the model instances are equivalent assert change_model == change_model2 # Convert model instance back to dict and verify no loss of data change_model_json2 = change_model.to_dict() assert change_model_json2 == change_model_json class TestModel_ChangesResult(): """ Test Class for ChangesResult """ def test_changes_result_serialization(self): """ Test serialization/deserialization for ChangesResult """ # Construct dict forms of any model objects needed in order to build this model. change_model = {} # Change change_model['rev'] = 'testString' attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' changes_result_item_model = {} # ChangesResultItem changes_result_item_model['changes'] = [change_model] changes_result_item_model['deleted'] = True changes_result_item_model['doc'] = document_model changes_result_item_model['id'] = 'testString' changes_result_item_model['seq'] = 'testString' # Construct a json representation of a ChangesResult model changes_result_model_json = {} changes_result_model_json['last_seq'] = 'testString' changes_result_model_json['pending'] = 26 changes_result_model_json['results'] = [changes_result_item_model] # Construct a model instance of ChangesResult by calling from_dict on the json representation changes_result_model = ChangesResult.from_dict(changes_result_model_json) assert changes_result_model != False # Construct a model instance of ChangesResult by calling from_dict on the json representation changes_result_model_dict = ChangesResult.from_dict(changes_result_model_json).__dict__ changes_result_model2 = ChangesResult(**changes_result_model_dict) # Verify the model instances are equivalent assert changes_result_model == changes_result_model2 # Convert model instance back to dict and verify no loss of data changes_result_model_json2 = changes_result_model.to_dict() assert changes_result_model_json2 == changes_result_model_json class TestModel_ChangesResultItem(): """ Test Class for ChangesResultItem """ def test_changes_result_item_serialization(self): """ Test serialization/deserialization for ChangesResultItem """ # Construct dict forms of any model objects needed in order to build this model. change_model = {} # Change change_model['rev'] = 'testString' attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a json representation of a ChangesResultItem model changes_result_item_model_json = {} changes_result_item_model_json['changes'] = [change_model] changes_result_item_model_json['deleted'] = True changes_result_item_model_json['doc'] = document_model changes_result_item_model_json['id'] = 'testString' changes_result_item_model_json['seq'] = 'testString' # Construct a model instance of ChangesResultItem by calling from_dict on the json representation changes_result_item_model = ChangesResultItem.from_dict(changes_result_item_model_json) assert changes_result_item_model != False # Construct a model instance of ChangesResultItem by calling from_dict on the json representation changes_result_item_model_dict = ChangesResultItem.from_dict(changes_result_item_model_json).__dict__ changes_result_item_model2 = ChangesResultItem(**changes_result_item_model_dict) # Verify the model instances are equivalent assert changes_result_item_model == changes_result_item_model2 # Convert model instance back to dict and verify no loss of data changes_result_item_model_json2 = changes_result_item_model.to_dict() assert changes_result_item_model_json2 == changes_result_item_model_json class TestModel_ContentInformationSizes(): """ Test Class for ContentInformationSizes """ def test_content_information_sizes_serialization(self): """ Test serialization/deserialization for ContentInformationSizes """ # Construct a json representation of a ContentInformationSizes model content_information_sizes_model_json = {} content_information_sizes_model_json['active'] = 26 content_information_sizes_model_json['external'] = 26 content_information_sizes_model_json['file'] = 26 # Construct a model instance of ContentInformationSizes by calling from_dict on the json representation content_information_sizes_model = ContentInformationSizes.from_dict(content_information_sizes_model_json) assert content_information_sizes_model != False # Construct a model instance of ContentInformationSizes by calling from_dict on the json representation content_information_sizes_model_dict = ContentInformationSizes.from_dict(content_information_sizes_model_json).__dict__ content_information_sizes_model2 = ContentInformationSizes(**content_information_sizes_model_dict) # Verify the model instances are equivalent assert content_information_sizes_model == content_information_sizes_model2 # Convert model instance back to dict and verify no loss of data content_information_sizes_model_json2 = content_information_sizes_model.to_dict() assert content_information_sizes_model_json2 == content_information_sizes_model_json class TestModel_CorsInformation(): """ Test Class for CorsInformation """ def test_cors_information_serialization(self): """ Test serialization/deserialization for CorsInformation """ # Construct a json representation of a CorsInformation model cors_information_model_json = {} cors_information_model_json['allow_credentials'] = True cors_information_model_json['enable_cors'] = True cors_information_model_json['origins'] = ['testString'] # Construct a model instance of CorsInformation by calling from_dict on the json representation cors_information_model = CorsInformation.from_dict(cors_information_model_json) assert cors_information_model != False # Construct a model instance of CorsInformation by calling from_dict on the json representation cors_information_model_dict = CorsInformation.from_dict(cors_information_model_json).__dict__ cors_information_model2 = CorsInformation(**cors_information_model_dict) # Verify the model instances are equivalent assert cors_information_model == cors_information_model2 # Convert model instance back to dict and verify no loss of data cors_information_model_json2 = cors_information_model.to_dict() assert cors_information_model_json2 == cors_information_model_json class TestModel_CurrentThroughputInformation(): """ Test Class for CurrentThroughputInformation """ def test_current_throughput_information_serialization(self): """ Test serialization/deserialization for CurrentThroughputInformation """ # Construct dict forms of any model objects needed in order to build this model. current_throughput_information_throughput_model = {} # CurrentThroughputInformationThroughput current_throughput_information_throughput_model['query'] = 0 current_throughput_information_throughput_model['read'] = 0 current_throughput_information_throughput_model['write'] = 0 # Construct a json representation of a CurrentThroughputInformation model current_throughput_information_model_json = {} current_throughput_information_model_json['throughput'] = current_throughput_information_throughput_model # Construct a model instance of CurrentThroughputInformation by calling from_dict on the json representation current_throughput_information_model = CurrentThroughputInformation.from_dict(current_throughput_information_model_json) assert current_throughput_information_model != False # Construct a model instance of CurrentThroughputInformation by calling from_dict on the json representation current_throughput_information_model_dict = CurrentThroughputInformation.from_dict(current_throughput_information_model_json).__dict__ current_throughput_information_model2 = CurrentThroughputInformation(**current_throughput_information_model_dict) # Verify the model instances are equivalent assert current_throughput_information_model == current_throughput_information_model2 # Convert model instance back to dict and verify no loss of data current_throughput_information_model_json2 = current_throughput_information_model.to_dict() assert current_throughput_information_model_json2 == current_throughput_information_model_json class TestModel_CurrentThroughputInformationThroughput(): """ Test Class for CurrentThroughputInformationThroughput """ def test_current_throughput_information_throughput_serialization(self): """ Test serialization/deserialization for CurrentThroughputInformationThroughput """ # Construct a json representation of a CurrentThroughputInformationThroughput model current_throughput_information_throughput_model_json = {} current_throughput_information_throughput_model_json['query'] = 0 current_throughput_information_throughput_model_json['read'] = 0 current_throughput_information_throughput_model_json['write'] = 0 # Construct a model instance of CurrentThroughputInformationThroughput by calling from_dict on the json representation current_throughput_information_throughput_model = CurrentThroughputInformationThroughput.from_dict(current_throughput_information_throughput_model_json) assert current_throughput_information_throughput_model != False # Construct a model instance of CurrentThroughputInformationThroughput by calling from_dict on the json representation current_throughput_information_throughput_model_dict = CurrentThroughputInformationThroughput.from_dict(current_throughput_information_throughput_model_json).__dict__ current_throughput_information_throughput_model2 = CurrentThroughputInformationThroughput(**current_throughput_information_throughput_model_dict) # Verify the model instances are equivalent assert current_throughput_information_throughput_model == current_throughput_information_throughput_model2 # Convert model instance back to dict and verify no loss of data current_throughput_information_throughput_model_json2 = current_throughput_information_throughput_model.to_dict() assert current_throughput_information_throughput_model_json2 == current_throughput_information_throughput_model_json class TestModel_DatabaseInformation(): """ Test Class for DatabaseInformation """ def test_database_information_serialization(self): """ Test serialization/deserialization for DatabaseInformation """ # Construct dict forms of any model objects needed in order to build this model. database_information_cluster_model = {} # DatabaseInformationCluster database_information_cluster_model['n'] = 1 database_information_cluster_model['q'] = 1 database_information_cluster_model['r'] = 1 database_information_cluster_model['w'] = 1 database_information_props_model = {} # DatabaseInformationProps database_information_props_model['partitioned'] = True content_information_sizes_model = {} # ContentInformationSizes content_information_sizes_model['active'] = 26 content_information_sizes_model['external'] = 26 content_information_sizes_model['file'] = 26 # Construct a json representation of a DatabaseInformation model database_information_model_json = {} database_information_model_json['cluster'] = database_information_cluster_model database_information_model_json['committed_update_seq'] = 'testString' database_information_model_json['compact_running'] = True database_information_model_json['compacted_seq'] = 'testString' database_information_model_json['db_name'] = 'testString' database_information_model_json['disk_format_version'] = 26 database_information_model_json['doc_count'] = 0 database_information_model_json['doc_del_count'] = 0 database_information_model_json['engine'] = 'testString' database_information_model_json['props'] = database_information_props_model database_information_model_json['sizes'] = content_information_sizes_model database_information_model_json['update_seq'] = 'testString' database_information_model_json['uuid'] = 'testString' # Construct a model instance of DatabaseInformation by calling from_dict on the json representation database_information_model = DatabaseInformation.from_dict(database_information_model_json) assert database_information_model != False # Construct a model instance of DatabaseInformation by calling from_dict on the json representation database_information_model_dict = DatabaseInformation.from_dict(database_information_model_json).__dict__ database_information_model2 = DatabaseInformation(**database_information_model_dict) # Verify the model instances are equivalent assert database_information_model == database_information_model2 # Convert model instance back to dict and verify no loss of data database_information_model_json2 = database_information_model.to_dict() assert database_information_model_json2 == database_information_model_json class TestModel_DatabaseInformationCluster(): """ Test Class for DatabaseInformationCluster """ def test_database_information_cluster_serialization(self): """ Test serialization/deserialization for DatabaseInformationCluster """ # Construct a json representation of a DatabaseInformationCluster model database_information_cluster_model_json = {} database_information_cluster_model_json['n'] = 1 database_information_cluster_model_json['q'] = 1 database_information_cluster_model_json['r'] = 1 database_information_cluster_model_json['w'] = 1 # Construct a model instance of DatabaseInformationCluster by calling from_dict on the json representation database_information_cluster_model = DatabaseInformationCluster.from_dict(database_information_cluster_model_json) assert database_information_cluster_model != False # Construct a model instance of DatabaseInformationCluster by calling from_dict on the json representation database_information_cluster_model_dict = DatabaseInformationCluster.from_dict(database_information_cluster_model_json).__dict__ database_information_cluster_model2 = DatabaseInformationCluster(**database_information_cluster_model_dict) # Verify the model instances are equivalent assert database_information_cluster_model == database_information_cluster_model2 # Convert model instance back to dict and verify no loss of data database_information_cluster_model_json2 = database_information_cluster_model.to_dict() assert database_information_cluster_model_json2 == database_information_cluster_model_json class TestModel_DatabaseInformationProps(): """ Test Class for DatabaseInformationProps """ def test_database_information_props_serialization(self): """ Test serialization/deserialization for DatabaseInformationProps """ # Construct a json representation of a DatabaseInformationProps model database_information_props_model_json = {} database_information_props_model_json['partitioned'] = True # Construct a model instance of DatabaseInformationProps by calling from_dict on the json representation database_information_props_model = DatabaseInformationProps.from_dict(database_information_props_model_json) assert database_information_props_model != False # Construct a model instance of DatabaseInformationProps by calling from_dict on the json representation database_information_props_model_dict = DatabaseInformationProps.from_dict(database_information_props_model_json).__dict__ database_information_props_model2 = DatabaseInformationProps(**database_information_props_model_dict) # Verify the model instances are equivalent assert database_information_props_model == database_information_props_model2 # Convert model instance back to dict and verify no loss of data database_information_props_model_json2 = database_information_props_model.to_dict() assert database_information_props_model_json2 == database_information_props_model_json class TestModel_DbEvent(): """ Test Class for DbEvent """ def test_db_event_serialization(self): """ Test serialization/deserialization for DbEvent """ # Construct a json representation of a DbEvent model db_event_model_json = {} db_event_model_json['account'] = 'testString' db_event_model_json['db_name'] = 'testString' db_event_model_json['seq'] = 'testString' db_event_model_json['type'] = 'created' # Construct a model instance of DbEvent by calling from_dict on the json representation db_event_model = DbEvent.from_dict(db_event_model_json) assert db_event_model != False # Construct a model instance of DbEvent by calling from_dict on the json representation db_event_model_dict = DbEvent.from_dict(db_event_model_json).__dict__ db_event_model2 = DbEvent(**db_event_model_dict) # Verify the model instances are equivalent assert db_event_model == db_event_model2 # Convert model instance back to dict and verify no loss of data db_event_model_json2 = db_event_model.to_dict() assert db_event_model_json2 == db_event_model_json class TestModel_DbUpdates(): """ Test Class for DbUpdates """ def test_db_updates_serialization(self): """ Test serialization/deserialization for DbUpdates """ # Construct dict forms of any model objects needed in order to build this model. db_event_model = {} # DbEvent db_event_model['account'] = 'testString' db_event_model['db_name'] = 'testString' db_event_model['seq'] = 'testString' db_event_model['type'] = 'created' # Construct a json representation of a DbUpdates model db_updates_model_json = {} db_updates_model_json['last_seq'] = 'testString' db_updates_model_json['results'] = [db_event_model] # Construct a model instance of DbUpdates by calling from_dict on the json representation db_updates_model = DbUpdates.from_dict(db_updates_model_json) assert db_updates_model != False # Construct a model instance of DbUpdates by calling from_dict on the json representation db_updates_model_dict = DbUpdates.from_dict(db_updates_model_json).__dict__ db_updates_model2 = DbUpdates(**db_updates_model_dict) # Verify the model instances are equivalent assert db_updates_model == db_updates_model2 # Convert model instance back to dict and verify no loss of data db_updates_model_json2 = db_updates_model.to_dict() assert db_updates_model_json2 == db_updates_model_json class TestModel_DbsInfoResult(): """ Test Class for DbsInfoResult """ def test_dbs_info_result_serialization(self): """ Test serialization/deserialization for DbsInfoResult """ # Construct dict forms of any model objects needed in order to build this model. database_information_cluster_model = {} # DatabaseInformationCluster database_information_cluster_model['n'] = 1 database_information_cluster_model['q'] = 1 database_information_cluster_model['r'] = 1 database_information_cluster_model['w'] = 1 database_information_props_model = {} # DatabaseInformationProps database_information_props_model['partitioned'] = True content_information_sizes_model = {} # ContentInformationSizes content_information_sizes_model['active'] = 26 content_information_sizes_model['external'] = 26 content_information_sizes_model['file'] = 26 database_information_model = {} # DatabaseInformation database_information_model['cluster'] = database_information_cluster_model database_information_model['committed_update_seq'] = 'testString' database_information_model['compact_running'] = True database_information_model['compacted_seq'] = 'testString' database_information_model['db_name'] = 'testString' database_information_model['disk_format_version'] = 26 database_information_model['doc_count'] = 0 database_information_model['doc_del_count'] = 0 database_information_model['engine'] = 'testString' database_information_model['props'] = database_information_props_model database_information_model['sizes'] = content_information_sizes_model database_information_model['update_seq'] = 'testString' database_information_model['uuid'] = 'testString' # Construct a json representation of a DbsInfoResult model dbs_info_result_model_json = {} dbs_info_result_model_json['error'] = 'testString' dbs_info_result_model_json['info'] = database_information_model dbs_info_result_model_json['key'] = 'testString' # Construct a model instance of DbsInfoResult by calling from_dict on the json representation dbs_info_result_model = DbsInfoResult.from_dict(dbs_info_result_model_json) assert dbs_info_result_model != False # Construct a model instance of DbsInfoResult by calling from_dict on the json representation dbs_info_result_model_dict = DbsInfoResult.from_dict(dbs_info_result_model_json).__dict__ dbs_info_result_model2 = DbsInfoResult(**dbs_info_result_model_dict) # Verify the model instances are equivalent assert dbs_info_result_model == dbs_info_result_model2 # Convert model instance back to dict and verify no loss of data dbs_info_result_model_json2 = dbs_info_result_model.to_dict() assert dbs_info_result_model_json2 == dbs_info_result_model_json class TestModel_DesignDocument(): """ Test Class for DesignDocument """ def test_design_document_serialization(self): """ Test serialization/deserialization for DesignDocument """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] analyzer_configuration_model = {} # AnalyzerConfiguration analyzer_configuration_model['name'] = 'classic' analyzer_configuration_model['stopwords'] = ['testString'] analyzer_configuration_model['fields'] = {} search_index_definition_model = {} # SearchIndexDefinition search_index_definition_model['analyzer'] = analyzer_configuration_model search_index_definition_model['index'] = 'testString' design_document_options_model = {} # DesignDocumentOptions design_document_options_model['partitioned'] = True design_document_views_map_reduce_model = {} # DesignDocumentViewsMapReduce design_document_views_map_reduce_model['map'] = 'testString' design_document_views_map_reduce_model['reduce'] = 'testString' geo_index_definition_model = {} # GeoIndexDefinition geo_index_definition_model['index'] = 'testString' # Construct a json representation of a DesignDocument model design_document_model_json = {} design_document_model_json['_attachments'] = {} design_document_model_json['_conflicts'] = ['testString'] design_document_model_json['_deleted'] = True design_document_model_json['_deleted_conflicts'] = ['testString'] design_document_model_json['_id'] = 'testString' design_document_model_json['_local_seq'] = 'testString' design_document_model_json['_rev'] = 'testString' design_document_model_json['_revisions'] = revisions_model design_document_model_json['_revs_info'] = [document_revision_status_model] design_document_model_json['autoupdate'] = True design_document_model_json['filters'] = {} design_document_model_json['indexes'] = {} design_document_model_json['language'] = 'javascript' design_document_model_json['options'] = design_document_options_model design_document_model_json['validate_doc_update'] = 'testString' design_document_model_json['views'] = {} design_document_model_json['st_indexes'] = {} design_document_model_json['foo'] = 'testString' # Construct a model instance of DesignDocument by calling from_dict on the json representation design_document_model = DesignDocument.from_dict(design_document_model_json) assert design_document_model != False # Construct a model instance of DesignDocument by calling from_dict on the json representation design_document_model_dict = DesignDocument.from_dict(design_document_model_json).__dict__ design_document_model2 = DesignDocument(**design_document_model_dict) # Verify the model instances are equivalent assert design_document_model == design_document_model2 # Convert model instance back to dict and verify no loss of data design_document_model_json2 = design_document_model.to_dict() assert design_document_model_json2 == design_document_model_json # Test get_properties and set_properties methods. design_document_model.set_properties({}) actual_dict = design_document_model.get_properties() assert actual_dict == {} expected_dict = {'foo': 'testString'} design_document_model.set_properties(expected_dict) actual_dict = design_document_model.get_properties() assert actual_dict == expected_dict class TestModel_DesignDocumentInformation(): """ Test Class for DesignDocumentInformation """ def test_design_document_information_serialization(self): """ Test serialization/deserialization for DesignDocumentInformation """ # Construct dict forms of any model objects needed in order to build this model. content_information_sizes_model = {} # ContentInformationSizes content_information_sizes_model['active'] = 26 content_information_sizes_model['external'] = 26 content_information_sizes_model['file'] = 26 design_document_view_index_model = {} # DesignDocumentViewIndex design_document_view_index_model['compact_running'] = True design_document_view_index_model['language'] = 'testString' design_document_view_index_model['signature'] = 'testString' design_document_view_index_model['sizes'] = content_information_sizes_model design_document_view_index_model['updater_running'] = True design_document_view_index_model['waiting_clients'] = 0 design_document_view_index_model['waiting_commit'] = True # Construct a json representation of a DesignDocumentInformation model design_document_information_model_json = {} design_document_information_model_json['name'] = 'testString' design_document_information_model_json['view_index'] = design_document_view_index_model # Construct a model instance of DesignDocumentInformation by calling from_dict on the json representation design_document_information_model = DesignDocumentInformation.from_dict(design_document_information_model_json) assert design_document_information_model != False # Construct a model instance of DesignDocumentInformation by calling from_dict on the json representation design_document_information_model_dict = DesignDocumentInformation.from_dict(design_document_information_model_json).__dict__ design_document_information_model2 = DesignDocumentInformation(**design_document_information_model_dict) # Verify the model instances are equivalent assert design_document_information_model == design_document_information_model2 # Convert model instance back to dict and verify no loss of data design_document_information_model_json2 = design_document_information_model.to_dict() assert design_document_information_model_json2 == design_document_information_model_json class TestModel_DesignDocumentOptions(): """ Test Class for DesignDocumentOptions """ def test_design_document_options_serialization(self): """ Test serialization/deserialization for DesignDocumentOptions """ # Construct a json representation of a DesignDocumentOptions model design_document_options_model_json = {} design_document_options_model_json['partitioned'] = True # Construct a model instance of DesignDocumentOptions by calling from_dict on the json representation design_document_options_model = DesignDocumentOptions.from_dict(design_document_options_model_json) assert design_document_options_model != False # Construct a model instance of DesignDocumentOptions by calling from_dict on the json representation design_document_options_model_dict = DesignDocumentOptions.from_dict(design_document_options_model_json).__dict__ design_document_options_model2 = DesignDocumentOptions(**design_document_options_model_dict) # Verify the model instances are equivalent assert design_document_options_model == design_document_options_model2 # Convert model instance back to dict and verify no loss of data design_document_options_model_json2 = design_document_options_model.to_dict() assert design_document_options_model_json2 == design_document_options_model_json class TestModel_DesignDocumentViewIndex(): """ Test Class for DesignDocumentViewIndex """ def test_design_document_view_index_serialization(self): """ Test serialization/deserialization for DesignDocumentViewIndex """ # Construct dict forms of any model objects needed in order to build this model. content_information_sizes_model = {} # ContentInformationSizes content_information_sizes_model['active'] = 26 content_information_sizes_model['external'] = 26 content_information_sizes_model['file'] = 26 # Construct a json representation of a DesignDocumentViewIndex model design_document_view_index_model_json = {} design_document_view_index_model_json['compact_running'] = True design_document_view_index_model_json['language'] = 'testString' design_document_view_index_model_json['signature'] = 'testString' design_document_view_index_model_json['sizes'] = content_information_sizes_model design_document_view_index_model_json['updater_running'] = True design_document_view_index_model_json['waiting_clients'] = 0 design_document_view_index_model_json['waiting_commit'] = True # Construct a model instance of DesignDocumentViewIndex by calling from_dict on the json representation design_document_view_index_model = DesignDocumentViewIndex.from_dict(design_document_view_index_model_json) assert design_document_view_index_model != False # Construct a model instance of DesignDocumentViewIndex by calling from_dict on the json representation design_document_view_index_model_dict = DesignDocumentViewIndex.from_dict(design_document_view_index_model_json).__dict__ design_document_view_index_model2 = DesignDocumentViewIndex(**design_document_view_index_model_dict) # Verify the model instances are equivalent assert design_document_view_index_model == design_document_view_index_model2 # Convert model instance back to dict and verify no loss of data design_document_view_index_model_json2 = design_document_view_index_model.to_dict() assert design_document_view_index_model_json2 == design_document_view_index_model_json class TestModel_DesignDocumentViewsMapReduce(): """ Test Class for DesignDocumentViewsMapReduce """ def test_design_document_views_map_reduce_serialization(self): """ Test serialization/deserialization for DesignDocumentViewsMapReduce """ # Construct a json representation of a DesignDocumentViewsMapReduce model design_document_views_map_reduce_model_json = {} design_document_views_map_reduce_model_json['map'] = 'testString' design_document_views_map_reduce_model_json['reduce'] = 'testString' # Construct a model instance of DesignDocumentViewsMapReduce by calling from_dict on the json representation design_document_views_map_reduce_model = DesignDocumentViewsMapReduce.from_dict(design_document_views_map_reduce_model_json) assert design_document_views_map_reduce_model != False # Construct a model instance of DesignDocumentViewsMapReduce by calling from_dict on the json representation design_document_views_map_reduce_model_dict = DesignDocumentViewsMapReduce.from_dict(design_document_views_map_reduce_model_json).__dict__ design_document_views_map_reduce_model2 = DesignDocumentViewsMapReduce(**design_document_views_map_reduce_model_dict) # Verify the model instances are equivalent assert design_document_views_map_reduce_model == design_document_views_map_reduce_model2 # Convert model instance back to dict and verify no loss of data design_document_views_map_reduce_model_json2 = design_document_views_map_reduce_model.to_dict() assert design_document_views_map_reduce_model_json2 == design_document_views_map_reduce_model_json class TestModel_DocsResultRow(): """ Test Class for DocsResultRow """ def test_docs_result_row_serialization(self): """ Test serialization/deserialization for DocsResultRow """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' docs_result_row_value_model = {} # DocsResultRowValue docs_result_row_value_model['rev'] = 'testString' # Construct a json representation of a DocsResultRow model docs_result_row_model_json = {} docs_result_row_model_json['caused_by'] = 'testString' docs_result_row_model_json['error'] = 'testString' docs_result_row_model_json['reason'] = 'testString' docs_result_row_model_json['doc'] = document_model docs_result_row_model_json['id'] = 'testString' docs_result_row_model_json['key'] = 'testString' docs_result_row_model_json['value'] = docs_result_row_value_model # Construct a model instance of DocsResultRow by calling from_dict on the json representation docs_result_row_model = DocsResultRow.from_dict(docs_result_row_model_json) assert docs_result_row_model != False # Construct a model instance of DocsResultRow by calling from_dict on the json representation docs_result_row_model_dict = DocsResultRow.from_dict(docs_result_row_model_json).__dict__ docs_result_row_model2 = DocsResultRow(**docs_result_row_model_dict) # Verify the model instances are equivalent assert docs_result_row_model == docs_result_row_model2 # Convert model instance back to dict and verify no loss of data docs_result_row_model_json2 = docs_result_row_model.to_dict() assert docs_result_row_model_json2 == docs_result_row_model_json class TestModel_DocsResultRowValue(): """ Test Class for DocsResultRowValue """ def test_docs_result_row_value_serialization(self): """ Test serialization/deserialization for DocsResultRowValue """ # Construct a json representation of a DocsResultRowValue model docs_result_row_value_model_json = {} docs_result_row_value_model_json['rev'] = 'testString' # Construct a model instance of DocsResultRowValue by calling from_dict on the json representation docs_result_row_value_model = DocsResultRowValue.from_dict(docs_result_row_value_model_json) assert docs_result_row_value_model != False # Construct a model instance of DocsResultRowValue by calling from_dict on the json representation docs_result_row_value_model_dict = DocsResultRowValue.from_dict(docs_result_row_value_model_json).__dict__ docs_result_row_value_model2 = DocsResultRowValue(**docs_result_row_value_model_dict) # Verify the model instances are equivalent assert docs_result_row_value_model == docs_result_row_value_model2 # Convert model instance back to dict and verify no loss of data docs_result_row_value_model_json2 = docs_result_row_value_model.to_dict() assert docs_result_row_value_model_json2 == docs_result_row_value_model_json class TestModel_Document(): """ Test Class for Document """ def test_document_serialization(self): """ Test serialization/deserialization for Document """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' # Construct a json representation of a Document model document_model_json = {} document_model_json['_attachments'] = {} document_model_json['_conflicts'] = ['testString'] document_model_json['_deleted'] = True document_model_json['_deleted_conflicts'] = ['testString'] document_model_json['_id'] = 'testString' document_model_json['_local_seq'] = 'testString' document_model_json['_rev'] = 'testString' document_model_json['_revisions'] = revisions_model document_model_json['_revs_info'] = [document_revision_status_model] document_model_json['foo'] = 'testString' # Construct a model instance of Document by calling from_dict on the json representation document_model = Document.from_dict(document_model_json) assert document_model != False # Construct a model instance of Document by calling from_dict on the json representation document_model_dict = Document.from_dict(document_model_json).__dict__ document_model2 = Document(**document_model_dict) # Verify the model instances are equivalent assert document_model == document_model2 # Convert model instance back to dict and verify no loss of data document_model_json2 = document_model.to_dict() assert document_model_json2 == document_model_json # Test get_properties and set_properties methods. document_model.set_properties({}) actual_dict = document_model.get_properties() assert actual_dict == {} expected_dict = {'foo': 'testString'} document_model.set_properties(expected_dict) actual_dict = document_model.get_properties() assert actual_dict == expected_dict class TestModel_DocumentResult(): """ Test Class for DocumentResult """ def test_document_result_serialization(self): """ Test serialization/deserialization for DocumentResult """ # Construct a json representation of a DocumentResult model document_result_model_json = {} document_result_model_json['id'] = 'testString' document_result_model_json['rev'] = 'testString' document_result_model_json['ok'] = True document_result_model_json['caused_by'] = 'testString' document_result_model_json['error'] = 'testString' document_result_model_json['reason'] = 'testString' # Construct a model instance of DocumentResult by calling from_dict on the json representation document_result_model = DocumentResult.from_dict(document_result_model_json) assert document_result_model != False # Construct a model instance of DocumentResult by calling from_dict on the json representation document_result_model_dict = DocumentResult.from_dict(document_result_model_json).__dict__ document_result_model2 = DocumentResult(**document_result_model_dict) # Verify the model instances are equivalent assert document_result_model == document_result_model2 # Convert model instance back to dict and verify no loss of data document_result_model_json2 = document_result_model.to_dict() assert document_result_model_json2 == document_result_model_json class TestModel_DocumentRevisionStatus(): """ Test Class for DocumentRevisionStatus """ def test_document_revision_status_serialization(self): """ Test serialization/deserialization for DocumentRevisionStatus """ # Construct a json representation of a DocumentRevisionStatus model document_revision_status_model_json = {} document_revision_status_model_json['rev'] = 'testString' document_revision_status_model_json['status'] = 'available' # Construct a model instance of DocumentRevisionStatus by calling from_dict on the json representation document_revision_status_model = DocumentRevisionStatus.from_dict(document_revision_status_model_json) assert document_revision_status_model != False # Construct a model instance of DocumentRevisionStatus by calling from_dict on the json representation document_revision_status_model_dict = DocumentRevisionStatus.from_dict(document_revision_status_model_json).__dict__ document_revision_status_model2 = DocumentRevisionStatus(**document_revision_status_model_dict) # Verify the model instances are equivalent assert document_revision_status_model == document_revision_status_model2 # Convert model instance back to dict and verify no loss of data document_revision_status_model_json2 = document_revision_status_model.to_dict() assert document_revision_status_model_json2 == document_revision_status_model_json class TestModel_DocumentShardInfo(): """ Test Class for DocumentShardInfo """ def test_document_shard_info_serialization(self): """ Test serialization/deserialization for DocumentShardInfo """ # Construct a json representation of a DocumentShardInfo model document_shard_info_model_json = {} document_shard_info_model_json['nodes'] = ['testString'] document_shard_info_model_json['range'] = 'testString' # Construct a model instance of DocumentShardInfo by calling from_dict on the json representation document_shard_info_model = DocumentShardInfo.from_dict(document_shard_info_model_json) assert document_shard_info_model != False # Construct a model instance of DocumentShardInfo by calling from_dict on the json representation document_shard_info_model_dict = DocumentShardInfo.from_dict(document_shard_info_model_json).__dict__ document_shard_info_model2 = DocumentShardInfo(**document_shard_info_model_dict) # Verify the model instances are equivalent assert document_shard_info_model == document_shard_info_model2 # Convert model instance back to dict and verify no loss of data document_shard_info_model_json2 = document_shard_info_model.to_dict() assert document_shard_info_model_json2 == document_shard_info_model_json class TestModel_ExecutionStats(): """ Test Class for ExecutionStats """ def test_execution_stats_serialization(self): """ Test serialization/deserialization for ExecutionStats """ # Construct a json representation of a ExecutionStats model execution_stats_model_json = {} execution_stats_model_json['execution_time_ms'] = 72.5 execution_stats_model_json['results_returned'] = 0 execution_stats_model_json['total_docs_examined'] = 0 execution_stats_model_json['total_keys_examined'] = 0 execution_stats_model_json['total_quorum_docs_examined'] = 0 # Construct a model instance of ExecutionStats by calling from_dict on the json representation execution_stats_model = ExecutionStats.from_dict(execution_stats_model_json) assert execution_stats_model != False # Construct a model instance of ExecutionStats by calling from_dict on the json representation execution_stats_model_dict = ExecutionStats.from_dict(execution_stats_model_json).__dict__ execution_stats_model2 = ExecutionStats(**execution_stats_model_dict) # Verify the model instances are equivalent assert execution_stats_model == execution_stats_model2 # Convert model instance back to dict and verify no loss of data execution_stats_model_json2 = execution_stats_model.to_dict() assert execution_stats_model_json2 == execution_stats_model_json class TestModel_ExplainResult(): """ Test Class for ExplainResult """ def test_explain_result_serialization(self): """ Test serialization/deserialization for ExplainResult """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] index_text_operator_default_field_model = {} # IndexTextOperatorDefaultField index_text_operator_default_field_model['analyzer'] = analyzer_model index_text_operator_default_field_model['enabled'] = True index_field_model = {} # IndexField index_field_model['name'] = 'testString' index_field_model['type'] = 'boolean' index_field_model['foo'] = 'asc' index_definition_model = {} # IndexDefinition index_definition_model['default_analyzer'] = analyzer_model index_definition_model['default_field'] = index_text_operator_default_field_model index_definition_model['fields'] = [index_field_model] index_definition_model['index_array_lengths'] = True index_definition_model['partial_filter_selector'] = {} index_information_model = {} # IndexInformation index_information_model['ddoc'] = 'testString' index_information_model['def'] = index_definition_model index_information_model['name'] = 'testString' index_information_model['type'] = 'json' explain_result_range_model = {} # ExplainResultRange explain_result_range_model['end_key'] = ['testString'] explain_result_range_model['start_key'] = ['testString'] # Construct a json representation of a ExplainResult model explain_result_model_json = {} explain_result_model_json['dbname'] = 'testString' explain_result_model_json['fields'] = ['testString'] explain_result_model_json['index'] = index_information_model explain_result_model_json['limit'] = 0 explain_result_model_json['opts'] = {} explain_result_model_json['range'] = explain_result_range_model explain_result_model_json['selector'] = {} explain_result_model_json['skip'] = 0 # Construct a model instance of ExplainResult by calling from_dict on the json representation explain_result_model = ExplainResult.from_dict(explain_result_model_json) assert explain_result_model != False # Construct a model instance of ExplainResult by calling from_dict on the json representation explain_result_model_dict = ExplainResult.from_dict(explain_result_model_json).__dict__ explain_result_model2 = ExplainResult(**explain_result_model_dict) # Verify the model instances are equivalent assert explain_result_model == explain_result_model2 # Convert model instance back to dict and verify no loss of data explain_result_model_json2 = explain_result_model.to_dict() assert explain_result_model_json2 == explain_result_model_json class TestModel_ExplainResultRange(): """ Test Class for ExplainResultRange """ def test_explain_result_range_serialization(self): """ Test serialization/deserialization for ExplainResultRange """ # Construct a json representation of a ExplainResultRange model explain_result_range_model_json = {} explain_result_range_model_json['end_key'] = ['testString'] explain_result_range_model_json['start_key'] = ['testString'] # Construct a model instance of ExplainResultRange by calling from_dict on the json representation explain_result_range_model = ExplainResultRange.from_dict(explain_result_range_model_json) assert explain_result_range_model != False # Construct a model instance of ExplainResultRange by calling from_dict on the json representation explain_result_range_model_dict = ExplainResultRange.from_dict(explain_result_range_model_json).__dict__ explain_result_range_model2 = ExplainResultRange(**explain_result_range_model_dict) # Verify the model instances are equivalent assert explain_result_range_model == explain_result_range_model2 # Convert model instance back to dict and verify no loss of data explain_result_range_model_json2 = explain_result_range_model.to_dict() assert explain_result_range_model_json2 == explain_result_range_model_json class TestModel_FindResult(): """ Test Class for FindResult """ def test_find_result_serialization(self): """ Test serialization/deserialization for FindResult """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' execution_stats_model = {} # ExecutionStats execution_stats_model['execution_time_ms'] = 72.5 execution_stats_model['results_returned'] = 0 execution_stats_model['total_docs_examined'] = 0 execution_stats_model['total_keys_examined'] = 0 execution_stats_model['total_quorum_docs_examined'] = 0 # Construct a json representation of a FindResult model find_result_model_json = {} find_result_model_json['bookmark'] = 'testString' find_result_model_json['docs'] = [document_model] find_result_model_json['execution_stats'] = execution_stats_model find_result_model_json['warning'] = 'testString' # Construct a model instance of FindResult by calling from_dict on the json representation find_result_model = FindResult.from_dict(find_result_model_json) assert find_result_model != False # Construct a model instance of FindResult by calling from_dict on the json representation find_result_model_dict = FindResult.from_dict(find_result_model_json).__dict__ find_result_model2 = FindResult(**find_result_model_dict) # Verify the model instances are equivalent assert find_result_model == find_result_model2 # Convert model instance back to dict and verify no loss of data find_result_model_json2 = find_result_model.to_dict() assert find_result_model_json2 == find_result_model_json class TestModel_GeoIndexDefinition(): """ Test Class for GeoIndexDefinition """ def test_geo_index_definition_serialization(self): """ Test serialization/deserialization for GeoIndexDefinition """ # Construct a json representation of a GeoIndexDefinition model geo_index_definition_model_json = {} geo_index_definition_model_json['index'] = 'testString' # Construct a model instance of GeoIndexDefinition by calling from_dict on the json representation geo_index_definition_model = GeoIndexDefinition.from_dict(geo_index_definition_model_json) assert geo_index_definition_model != False # Construct a model instance of GeoIndexDefinition by calling from_dict on the json representation geo_index_definition_model_dict = GeoIndexDefinition.from_dict(geo_index_definition_model_json).__dict__ geo_index_definition_model2 = GeoIndexDefinition(**geo_index_definition_model_dict) # Verify the model instances are equivalent assert geo_index_definition_model == geo_index_definition_model2 # Convert model instance back to dict and verify no loss of data geo_index_definition_model_json2 = geo_index_definition_model.to_dict() assert geo_index_definition_model_json2 == geo_index_definition_model_json class TestModel_GeoIndexInformation(): """ Test Class for GeoIndexInformation """ def test_geo_index_information_serialization(self): """ Test serialization/deserialization for GeoIndexInformation """ # Construct dict forms of any model objects needed in order to build this model. geo_index_stats_model = {} # GeoIndexStats geo_index_stats_model['data_size'] = 0 geo_index_stats_model['disk_size'] = 0 geo_index_stats_model['doc_count'] = 0 # Construct a json representation of a GeoIndexInformation model geo_index_information_model_json = {} geo_index_information_model_json['geo_index'] = geo_index_stats_model geo_index_information_model_json['name'] = 'testString' # Construct a model instance of GeoIndexInformation by calling from_dict on the json representation geo_index_information_model = GeoIndexInformation.from_dict(geo_index_information_model_json) assert geo_index_information_model != False # Construct a model instance of GeoIndexInformation by calling from_dict on the json representation geo_index_information_model_dict = GeoIndexInformation.from_dict(geo_index_information_model_json).__dict__ geo_index_information_model2 = GeoIndexInformation(**geo_index_information_model_dict) # Verify the model instances are equivalent assert geo_index_information_model == geo_index_information_model2 # Convert model instance back to dict and verify no loss of data geo_index_information_model_json2 = geo_index_information_model.to_dict() assert geo_index_information_model_json2 == geo_index_information_model_json class TestModel_GeoIndexStats(): """ Test Class for GeoIndexStats """ def test_geo_index_stats_serialization(self): """ Test serialization/deserialization for GeoIndexStats """ # Construct a json representation of a GeoIndexStats model geo_index_stats_model_json = {} geo_index_stats_model_json['data_size'] = 0 geo_index_stats_model_json['disk_size'] = 0 geo_index_stats_model_json['doc_count'] = 0 # Construct a model instance of GeoIndexStats by calling from_dict on the json representation geo_index_stats_model = GeoIndexStats.from_dict(geo_index_stats_model_json) assert geo_index_stats_model != False # Construct a model instance of GeoIndexStats by calling from_dict on the json representation geo_index_stats_model_dict = GeoIndexStats.from_dict(geo_index_stats_model_json).__dict__ geo_index_stats_model2 = GeoIndexStats(**geo_index_stats_model_dict) # Verify the model instances are equivalent assert geo_index_stats_model == geo_index_stats_model2 # Convert model instance back to dict and verify no loss of data geo_index_stats_model_json2 = geo_index_stats_model.to_dict() assert geo_index_stats_model_json2 == geo_index_stats_model_json class TestModel_GeoJsonFeature(): """ Test Class for GeoJsonFeature """ def test_geo_json_feature_serialization(self): """ Test serialization/deserialization for GeoJsonFeature """ # Construct dict forms of any model objects needed in order to build this model. geo_json_geometry_object_model = {} # GeoJsonGeometry geo_json_geometry_object_model['type'] = 'Point' geo_json_geometry_object_model['coordinates'] = ['testString'] # Construct a json representation of a GeoJsonFeature model geo_json_feature_model_json = {} geo_json_feature_model_json['_id'] = 'testString' geo_json_feature_model_json['_rev'] = 'testString' geo_json_feature_model_json['bbox'] = [72.5] geo_json_feature_model_json['geometry'] = geo_json_geometry_object_model geo_json_feature_model_json['properties'] = {} geo_json_feature_model_json['type'] = 'Feature' geo_json_feature_model_json['foo'] = 'testString' # Construct a model instance of GeoJsonFeature by calling from_dict on the json representation geo_json_feature_model = GeoJsonFeature.from_dict(geo_json_feature_model_json) assert geo_json_feature_model != False # Construct a model instance of GeoJsonFeature by calling from_dict on the json representation geo_json_feature_model_dict = GeoJsonFeature.from_dict(geo_json_feature_model_json).__dict__ geo_json_feature_model2 = GeoJsonFeature(**geo_json_feature_model_dict) # Verify the model instances are equivalent assert geo_json_feature_model == geo_json_feature_model2 # Convert model instance back to dict and verify no loss of data geo_json_feature_model_json2 = geo_json_feature_model.to_dict() assert geo_json_feature_model_json2 == geo_json_feature_model_json # Test get_properties and set_properties methods. geo_json_feature_model.set_properties({}) actual_dict = geo_json_feature_model.get_properties() assert actual_dict == {} expected_dict = {'foo': 'testString'} geo_json_feature_model.set_properties(expected_dict) actual_dict = geo_json_feature_model.get_properties() assert actual_dict == expected_dict class TestModel_GeoResult(): """ Test Class for GeoResult """ def test_geo_result_serialization(self): """ Test serialization/deserialization for GeoResult """ # Construct dict forms of any model objects needed in order to build this model. geo_json_geometry_object_model = {} # GeoJsonGeometry geo_json_geometry_object_model['type'] = 'Point' geo_json_geometry_object_model['coordinates'] = ['testString'] geo_json_feature_model = {} # GeoJsonFeature geo_json_feature_model['_id'] = 'testString' geo_json_feature_model['_rev'] = 'testString' geo_json_feature_model['bbox'] = [72.5] geo_json_feature_model['geometry'] = geo_json_geometry_object_model geo_json_feature_model['properties'] = {} geo_json_feature_model['type'] = 'Feature' geo_json_feature_model['foo'] = 'testString' attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' geo_json_geometry_model = {} # GeoJsonGeometry geo_json_geometry_model['type'] = 'Point' geo_json_geometry_model['coordinates'] = ['testString'] geo_result_row_model = {} # GeoResultRow geo_result_row_model['doc'] = document_model geo_result_row_model['geometry'] = geo_json_geometry_model geo_result_row_model['id'] = 'testString' geo_result_row_model['rev'] = 'testString' # Construct a json representation of a GeoResult model geo_result_model_json = {} geo_result_model_json['bookmark'] = 'testString' geo_result_model_json['features'] = [geo_json_feature_model] geo_result_model_json['rows'] = [geo_result_row_model] geo_result_model_json['type'] = 'FeatureCollection' # Construct a model instance of GeoResult by calling from_dict on the json representation geo_result_model = GeoResult.from_dict(geo_result_model_json) assert geo_result_model != False # Construct a model instance of GeoResult by calling from_dict on the json representation geo_result_model_dict = GeoResult.from_dict(geo_result_model_json).__dict__ geo_result_model2 = GeoResult(**geo_result_model_dict) # Verify the model instances are equivalent assert geo_result_model == geo_result_model2 # Convert model instance back to dict and verify no loss of data geo_result_model_json2 = geo_result_model.to_dict() assert geo_result_model_json2 == geo_result_model_json class TestModel_GeoResultRow(): """ Test Class for GeoResultRow """ def test_geo_result_row_serialization(self): """ Test serialization/deserialization for GeoResultRow """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' geo_json_geometry_model = {} # GeoJsonGeometry geo_json_geometry_model['type'] = 'Point' geo_json_geometry_model['coordinates'] = ['testString'] # Construct a json representation of a GeoResultRow model geo_result_row_model_json = {} geo_result_row_model_json['doc'] = document_model geo_result_row_model_json['geometry'] = geo_json_geometry_model geo_result_row_model_json['id'] = 'testString' geo_result_row_model_json['rev'] = 'testString' # Construct a model instance of GeoResultRow by calling from_dict on the json representation geo_result_row_model = GeoResultRow.from_dict(geo_result_row_model_json) assert geo_result_row_model != False # Construct a model instance of GeoResultRow by calling from_dict on the json representation geo_result_row_model_dict = GeoResultRow.from_dict(geo_result_row_model_json).__dict__ geo_result_row_model2 = GeoResultRow(**geo_result_row_model_dict) # Verify the model instances are equivalent assert geo_result_row_model == geo_result_row_model2 # Convert model instance back to dict and verify no loss of data geo_result_row_model_json2 = geo_result_row_model.to_dict() assert geo_result_row_model_json2 == geo_result_row_model_json class TestModel_IndexDefinition(): """ Test Class for IndexDefinition """ def test_index_definition_serialization(self): """ Test serialization/deserialization for IndexDefinition """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] index_text_operator_default_field_model = {} # IndexTextOperatorDefaultField index_text_operator_default_field_model['analyzer'] = analyzer_model index_text_operator_default_field_model['enabled'] = True index_field_model = {} # IndexField index_field_model['name'] = 'testString' index_field_model['type'] = 'boolean' index_field_model['foo'] = 'asc' # Construct a json representation of a IndexDefinition model index_definition_model_json = {} index_definition_model_json['default_analyzer'] = analyzer_model index_definition_model_json['default_field'] = index_text_operator_default_field_model index_definition_model_json['fields'] = [index_field_model] index_definition_model_json['index_array_lengths'] = True index_definition_model_json['partial_filter_selector'] = {} # Construct a model instance of IndexDefinition by calling from_dict on the json representation index_definition_model = IndexDefinition.from_dict(index_definition_model_json) assert index_definition_model != False # Construct a model instance of IndexDefinition by calling from_dict on the json representation index_definition_model_dict = IndexDefinition.from_dict(index_definition_model_json).__dict__ index_definition_model2 = IndexDefinition(**index_definition_model_dict) # Verify the model instances are equivalent assert index_definition_model == index_definition_model2 # Convert model instance back to dict and verify no loss of data index_definition_model_json2 = index_definition_model.to_dict() assert index_definition_model_json2 == index_definition_model_json class TestModel_IndexField(): """ Test Class for IndexField """ def test_index_field_serialization(self): """ Test serialization/deserialization for IndexField """ # Construct a json representation of a IndexField model index_field_model_json = {} index_field_model_json['name'] = 'testString' index_field_model_json['type'] = 'boolean' index_field_model_json['foo'] = 'asc' # Construct a model instance of IndexField by calling from_dict on the json representation index_field_model = IndexField.from_dict(index_field_model_json) assert index_field_model != False # Construct a model instance of IndexField by calling from_dict on the json representation index_field_model_dict = IndexField.from_dict(index_field_model_json).__dict__ index_field_model2 = IndexField(**index_field_model_dict) # Verify the model instances are equivalent assert index_field_model == index_field_model2 # Convert model instance back to dict and verify no loss of data index_field_model_json2 = index_field_model.to_dict() assert index_field_model_json2 == index_field_model_json # Test get_properties and set_properties methods. index_field_model.set_properties({}) actual_dict = index_field_model.get_properties() assert actual_dict == {} expected_dict = {'foo': 'asc'} index_field_model.set_properties(expected_dict) actual_dict = index_field_model.get_properties() assert actual_dict == expected_dict class TestModel_IndexInformation(): """ Test Class for IndexInformation """ def test_index_information_serialization(self): """ Test serialization/deserialization for IndexInformation """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] index_text_operator_default_field_model = {} # IndexTextOperatorDefaultField index_text_operator_default_field_model['analyzer'] = analyzer_model index_text_operator_default_field_model['enabled'] = True index_field_model = {} # IndexField index_field_model['name'] = 'testString' index_field_model['type'] = 'boolean' index_field_model['foo'] = 'asc' index_definition_model = {} # IndexDefinition index_definition_model['default_analyzer'] = analyzer_model index_definition_model['default_field'] = index_text_operator_default_field_model index_definition_model['fields'] = [index_field_model] index_definition_model['index_array_lengths'] = True index_definition_model['partial_filter_selector'] = {} # Construct a json representation of a IndexInformation model index_information_model_json = {} index_information_model_json['ddoc'] = 'testString' index_information_model_json['def'] = index_definition_model index_information_model_json['name'] = 'testString' index_information_model_json['type'] = 'json' # Construct a model instance of IndexInformation by calling from_dict on the json representation index_information_model = IndexInformation.from_dict(index_information_model_json) assert index_information_model != False # Construct a model instance of IndexInformation by calling from_dict on the json representation index_information_model_dict = IndexInformation.from_dict(index_information_model_json).__dict__ index_information_model2 = IndexInformation(**index_information_model_dict) # Verify the model instances are equivalent assert index_information_model == index_information_model2 # Convert model instance back to dict and verify no loss of data index_information_model_json2 = index_information_model.to_dict() assert index_information_model_json2 == index_information_model_json class TestModel_IndexResult(): """ Test Class for IndexResult """ def test_index_result_serialization(self): """ Test serialization/deserialization for IndexResult """ # Construct a json representation of a IndexResult model index_result_model_json = {} index_result_model_json['id'] = 'testString' index_result_model_json['name'] = 'testString' index_result_model_json['result'] = 'created' # Construct a model instance of IndexResult by calling from_dict on the json representation index_result_model = IndexResult.from_dict(index_result_model_json) assert index_result_model != False # Construct a model instance of IndexResult by calling from_dict on the json representation index_result_model_dict = IndexResult.from_dict(index_result_model_json).__dict__ index_result_model2 = IndexResult(**index_result_model_dict) # Verify the model instances are equivalent assert index_result_model == index_result_model2 # Convert model instance back to dict and verify no loss of data index_result_model_json2 = index_result_model.to_dict() assert index_result_model_json2 == index_result_model_json class TestModel_IndexTextOperatorDefaultField(): """ Test Class for IndexTextOperatorDefaultField """ def test_index_text_operator_default_field_serialization(self): """ Test serialization/deserialization for IndexTextOperatorDefaultField """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] # Construct a json representation of a IndexTextOperatorDefaultField model index_text_operator_default_field_model_json = {} index_text_operator_default_field_model_json['analyzer'] = analyzer_model index_text_operator_default_field_model_json['enabled'] = True # Construct a model instance of IndexTextOperatorDefaultField by calling from_dict on the json representation index_text_operator_default_field_model = IndexTextOperatorDefaultField.from_dict(index_text_operator_default_field_model_json) assert index_text_operator_default_field_model != False # Construct a model instance of IndexTextOperatorDefaultField by calling from_dict on the json representation index_text_operator_default_field_model_dict = IndexTextOperatorDefaultField.from_dict(index_text_operator_default_field_model_json).__dict__ index_text_operator_default_field_model2 = IndexTextOperatorDefaultField(**index_text_operator_default_field_model_dict) # Verify the model instances are equivalent assert index_text_operator_default_field_model == index_text_operator_default_field_model2 # Convert model instance back to dict and verify no loss of data index_text_operator_default_field_model_json2 = index_text_operator_default_field_model.to_dict() assert index_text_operator_default_field_model_json2 == index_text_operator_default_field_model_json class TestModel_IndexesInformation(): """ Test Class for IndexesInformation """ def test_indexes_information_serialization(self): """ Test serialization/deserialization for IndexesInformation """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] index_text_operator_default_field_model = {} # IndexTextOperatorDefaultField index_text_operator_default_field_model['analyzer'] = analyzer_model index_text_operator_default_field_model['enabled'] = True index_field_model = {} # IndexField index_field_model['name'] = 'testString' index_field_model['type'] = 'boolean' index_field_model['foo'] = 'asc' index_definition_model = {} # IndexDefinition index_definition_model['default_analyzer'] = analyzer_model index_definition_model['default_field'] = index_text_operator_default_field_model index_definition_model['fields'] = [index_field_model] index_definition_model['index_array_lengths'] = True index_definition_model['partial_filter_selector'] = {} index_information_model = {} # IndexInformation index_information_model['ddoc'] = 'testString' index_information_model['def'] = index_definition_model index_information_model['name'] = 'testString' index_information_model['type'] = 'json' # Construct a json representation of a IndexesInformation model indexes_information_model_json = {} indexes_information_model_json['total_rows'] = 0 indexes_information_model_json['indexes'] = [index_information_model] # Construct a model instance of IndexesInformation by calling from_dict on the json representation indexes_information_model = IndexesInformation.from_dict(indexes_information_model_json) assert indexes_information_model != False # Construct a model instance of IndexesInformation by calling from_dict on the json representation indexes_information_model_dict = IndexesInformation.from_dict(indexes_information_model_json).__dict__ indexes_information_model2 = IndexesInformation(**indexes_information_model_dict) # Verify the model instances are equivalent assert indexes_information_model == indexes_information_model2 # Convert model instance back to dict and verify no loss of data indexes_information_model_json2 = indexes_information_model.to_dict() assert indexes_information_model_json2 == indexes_information_model_json class TestModel_MembershipInformation(): """ Test Class for MembershipInformation """ def test_membership_information_serialization(self): """ Test serialization/deserialization for MembershipInformation """ # Construct a json representation of a MembershipInformation model membership_information_model_json = {} membership_information_model_json['all_nodes'] = ['testString'] membership_information_model_json['cluster_nodes'] = ['testString'] # Construct a model instance of MembershipInformation by calling from_dict on the json representation membership_information_model = MembershipInformation.from_dict(membership_information_model_json) assert membership_information_model != False # Construct a model instance of MembershipInformation by calling from_dict on the json representation membership_information_model_dict = MembershipInformation.from_dict(membership_information_model_json).__dict__ membership_information_model2 = MembershipInformation(**membership_information_model_dict) # Verify the model instances are equivalent assert membership_information_model == membership_information_model2 # Convert model instance back to dict and verify no loss of data membership_information_model_json2 = membership_information_model.to_dict() assert membership_information_model_json2 == membership_information_model_json class TestModel_Ok(): """ Test Class for Ok """ def test_ok_serialization(self): """ Test serialization/deserialization for Ok """ # Construct a json representation of a Ok model ok_model_json = {} ok_model_json['ok'] = True # Construct a model instance of Ok by calling from_dict on the json representation ok_model = Ok.from_dict(ok_model_json) assert ok_model != False # Construct a model instance of Ok by calling from_dict on the json representation ok_model_dict = Ok.from_dict(ok_model_json).__dict__ ok_model2 = Ok(**ok_model_dict) # Verify the model instances are equivalent assert ok_model == ok_model2 # Convert model instance back to dict and verify no loss of data ok_model_json2 = ok_model.to_dict() assert ok_model_json2 == ok_model_json class TestModel_PartitionInformation(): """ Test Class for PartitionInformation """ def test_partition_information_serialization(self): """ Test serialization/deserialization for PartitionInformation """ # Construct dict forms of any model objects needed in order to build this model. partition_information_indexes_indexes_model = {} # PartitionInformationIndexesIndexes partition_information_indexes_indexes_model['search'] = 0 partition_information_indexes_indexes_model['view'] = 0 partition_information_indexes_model = {} # PartitionInformationIndexes partition_information_indexes_model['count'] = 0 partition_information_indexes_model['indexes'] = partition_information_indexes_indexes_model partition_information_indexes_model['limit'] = 0 partition_information_sizes_model = {} # PartitionInformationSizes partition_information_sizes_model['active'] = 0 partition_information_sizes_model['external'] = 0 # Construct a json representation of a PartitionInformation model partition_information_model_json = {} partition_information_model_json['db_name'] = 'testString' partition_information_model_json['doc_count'] = 0 partition_information_model_json['doc_del_count'] = 0 partition_information_model_json['partition'] = 'testString' partition_information_model_json['partitioned_indexes'] = partition_information_indexes_model partition_information_model_json['sizes'] = partition_information_sizes_model # Construct a model instance of PartitionInformation by calling from_dict on the json representation partition_information_model = PartitionInformation.from_dict(partition_information_model_json) assert partition_information_model != False # Construct a model instance of PartitionInformation by calling from_dict on the json representation partition_information_model_dict = PartitionInformation.from_dict(partition_information_model_json).__dict__ partition_information_model2 = PartitionInformation(**partition_information_model_dict) # Verify the model instances are equivalent assert partition_information_model == partition_information_model2 # Convert model instance back to dict and verify no loss of data partition_information_model_json2 = partition_information_model.to_dict() assert partition_information_model_json2 == partition_information_model_json class TestModel_PartitionInformationIndexes(): """ Test Class for PartitionInformationIndexes """ def test_partition_information_indexes_serialization(self): """ Test serialization/deserialization for PartitionInformationIndexes """ # Construct dict forms of any model objects needed in order to build this model. partition_information_indexes_indexes_model = {} # PartitionInformationIndexesIndexes partition_information_indexes_indexes_model['search'] = 0 partition_information_indexes_indexes_model['view'] = 0 # Construct a json representation of a PartitionInformationIndexes model partition_information_indexes_model_json = {} partition_information_indexes_model_json['count'] = 0 partition_information_indexes_model_json['indexes'] = partition_information_indexes_indexes_model partition_information_indexes_model_json['limit'] = 0 # Construct a model instance of PartitionInformationIndexes by calling from_dict on the json representation partition_information_indexes_model = PartitionInformationIndexes.from_dict(partition_information_indexes_model_json) assert partition_information_indexes_model != False # Construct a model instance of PartitionInformationIndexes by calling from_dict on the json representation partition_information_indexes_model_dict = PartitionInformationIndexes.from_dict(partition_information_indexes_model_json).__dict__ partition_information_indexes_model2 = PartitionInformationIndexes(**partition_information_indexes_model_dict) # Verify the model instances are equivalent assert partition_information_indexes_model == partition_information_indexes_model2 # Convert model instance back to dict and verify no loss of data partition_information_indexes_model_json2 = partition_information_indexes_model.to_dict() assert partition_information_indexes_model_json2 == partition_information_indexes_model_json class TestModel_PartitionInformationIndexesIndexes(): """ Test Class for PartitionInformationIndexesIndexes """ def test_partition_information_indexes_indexes_serialization(self): """ Test serialization/deserialization for PartitionInformationIndexesIndexes """ # Construct a json representation of a PartitionInformationIndexesIndexes model partition_information_indexes_indexes_model_json = {} partition_information_indexes_indexes_model_json['search'] = 0 partition_information_indexes_indexes_model_json['view'] = 0 # Construct a model instance of PartitionInformationIndexesIndexes by calling from_dict on the json representation partition_information_indexes_indexes_model = PartitionInformationIndexesIndexes.from_dict(partition_information_indexes_indexes_model_json) assert partition_information_indexes_indexes_model != False # Construct a model instance of PartitionInformationIndexesIndexes by calling from_dict on the json representation partition_information_indexes_indexes_model_dict = PartitionInformationIndexesIndexes.from_dict(partition_information_indexes_indexes_model_json).__dict__ partition_information_indexes_indexes_model2 = PartitionInformationIndexesIndexes(**partition_information_indexes_indexes_model_dict) # Verify the model instances are equivalent assert partition_information_indexes_indexes_model == partition_information_indexes_indexes_model2 # Convert model instance back to dict and verify no loss of data partition_information_indexes_indexes_model_json2 = partition_information_indexes_indexes_model.to_dict() assert partition_information_indexes_indexes_model_json2 == partition_information_indexes_indexes_model_json class TestModel_PartitionInformationSizes(): """ Test Class for PartitionInformationSizes """ def test_partition_information_sizes_serialization(self): """ Test serialization/deserialization for PartitionInformationSizes """ # Construct a json representation of a PartitionInformationSizes model partition_information_sizes_model_json = {} partition_information_sizes_model_json['active'] = 0 partition_information_sizes_model_json['external'] = 0 # Construct a model instance of PartitionInformationSizes by calling from_dict on the json representation partition_information_sizes_model = PartitionInformationSizes.from_dict(partition_information_sizes_model_json) assert partition_information_sizes_model != False # Construct a model instance of PartitionInformationSizes by calling from_dict on the json representation partition_information_sizes_model_dict = PartitionInformationSizes.from_dict(partition_information_sizes_model_json).__dict__ partition_information_sizes_model2 = PartitionInformationSizes(**partition_information_sizes_model_dict) # Verify the model instances are equivalent assert partition_information_sizes_model == partition_information_sizes_model2 # Convert model instance back to dict and verify no loss of data partition_information_sizes_model_json2 = partition_information_sizes_model.to_dict() assert partition_information_sizes_model_json2 == partition_information_sizes_model_json class TestModel_ReplicationCreateTargetParameters(): """ Test Class for ReplicationCreateTargetParameters """ def test_replication_create_target_parameters_serialization(self): """ Test serialization/deserialization for ReplicationCreateTargetParameters """ # Construct a json representation of a ReplicationCreateTargetParameters model replication_create_target_parameters_model_json = {} replication_create_target_parameters_model_json['n'] = 1 replication_create_target_parameters_model_json['partitioned'] = False replication_create_target_parameters_model_json['q'] = 1 # Construct a model instance of ReplicationCreateTargetParameters by calling from_dict on the json representation replication_create_target_parameters_model = ReplicationCreateTargetParameters.from_dict(replication_create_target_parameters_model_json) assert replication_create_target_parameters_model != False # Construct a model instance of ReplicationCreateTargetParameters by calling from_dict on the json representation replication_create_target_parameters_model_dict = ReplicationCreateTargetParameters.from_dict(replication_create_target_parameters_model_json).__dict__ replication_create_target_parameters_model2 = ReplicationCreateTargetParameters(**replication_create_target_parameters_model_dict) # Verify the model instances are equivalent assert replication_create_target_parameters_model == replication_create_target_parameters_model2 # Convert model instance back to dict and verify no loss of data replication_create_target_parameters_model_json2 = replication_create_target_parameters_model.to_dict() assert replication_create_target_parameters_model_json2 == replication_create_target_parameters_model_json class TestModel_ReplicationDatabase(): """ Test Class for ReplicationDatabase """ def test_replication_database_serialization(self): """ Test serialization/deserialization for ReplicationDatabase """ # Construct dict forms of any model objects needed in order to build this model. replication_database_auth_basic_model = {} # ReplicationDatabaseAuthBasic replication_database_auth_basic_model['password'] = 'testString' replication_database_auth_basic_model['username'] = 'testString' replication_database_auth_iam_model = {} # ReplicationDatabaseAuthIam replication_database_auth_iam_model['api_key'] = 'testString' replication_database_auth_model = {} # ReplicationDatabaseAuth replication_database_auth_model['basic'] = replication_database_auth_basic_model replication_database_auth_model['iam'] = replication_database_auth_iam_model # Construct a json representation of a ReplicationDatabase model replication_database_model_json = {} replication_database_model_json['auth'] = replication_database_auth_model replication_database_model_json['headers'] = {} replication_database_model_json['url'] = 'testString' # Construct a model instance of ReplicationDatabase by calling from_dict on the json representation replication_database_model = ReplicationDatabase.from_dict(replication_database_model_json) assert replication_database_model != False # Construct a model instance of ReplicationDatabase by calling from_dict on the json representation replication_database_model_dict = ReplicationDatabase.from_dict(replication_database_model_json).__dict__ replication_database_model2 = ReplicationDatabase(**replication_database_model_dict) # Verify the model instances are equivalent assert replication_database_model == replication_database_model2 # Convert model instance back to dict and verify no loss of data replication_database_model_json2 = replication_database_model.to_dict() assert replication_database_model_json2 == replication_database_model_json class TestModel_ReplicationDatabaseAuth(): """ Test Class for ReplicationDatabaseAuth """ def test_replication_database_auth_serialization(self): """ Test serialization/deserialization for ReplicationDatabaseAuth """ # Construct dict forms of any model objects needed in order to build this model. replication_database_auth_basic_model = {} # ReplicationDatabaseAuthBasic replication_database_auth_basic_model['password'] = 'testString' replication_database_auth_basic_model['username'] = 'testString' replication_database_auth_iam_model = {} # ReplicationDatabaseAuthIam replication_database_auth_iam_model['api_key'] = 'testString' # Construct a json representation of a ReplicationDatabaseAuth model replication_database_auth_model_json = {} replication_database_auth_model_json['basic'] = replication_database_auth_basic_model replication_database_auth_model_json['iam'] = replication_database_auth_iam_model # Construct a model instance of ReplicationDatabaseAuth by calling from_dict on the json representation replication_database_auth_model = ReplicationDatabaseAuth.from_dict(replication_database_auth_model_json) assert replication_database_auth_model != False # Construct a model instance of ReplicationDatabaseAuth by calling from_dict on the json representation replication_database_auth_model_dict = ReplicationDatabaseAuth.from_dict(replication_database_auth_model_json).__dict__ replication_database_auth_model2 = ReplicationDatabaseAuth(**replication_database_auth_model_dict) # Verify the model instances are equivalent assert replication_database_auth_model == replication_database_auth_model2 # Convert model instance back to dict and verify no loss of data replication_database_auth_model_json2 = replication_database_auth_model.to_dict() assert replication_database_auth_model_json2 == replication_database_auth_model_json class TestModel_ReplicationDatabaseAuthBasic(): """ Test Class for ReplicationDatabaseAuthBasic """ def test_replication_database_auth_basic_serialization(self): """ Test serialization/deserialization for ReplicationDatabaseAuthBasic """ # Construct a json representation of a ReplicationDatabaseAuthBasic model replication_database_auth_basic_model_json = {} replication_database_auth_basic_model_json['password'] = 'testString' replication_database_auth_basic_model_json['username'] = 'testString' # Construct a model instance of ReplicationDatabaseAuthBasic by calling from_dict on the json representation replication_database_auth_basic_model = ReplicationDatabaseAuthBasic.from_dict(replication_database_auth_basic_model_json) assert replication_database_auth_basic_model != False # Construct a model instance of ReplicationDatabaseAuthBasic by calling from_dict on the json representation replication_database_auth_basic_model_dict = ReplicationDatabaseAuthBasic.from_dict(replication_database_auth_basic_model_json).__dict__ replication_database_auth_basic_model2 = ReplicationDatabaseAuthBasic(**replication_database_auth_basic_model_dict) # Verify the model instances are equivalent assert replication_database_auth_basic_model == replication_database_auth_basic_model2 # Convert model instance back to dict and verify no loss of data replication_database_auth_basic_model_json2 = replication_database_auth_basic_model.to_dict() assert replication_database_auth_basic_model_json2 == replication_database_auth_basic_model_json class TestModel_ReplicationDatabaseAuthIam(): """ Test Class for ReplicationDatabaseAuthIam """ def test_replication_database_auth_iam_serialization(self): """ Test serialization/deserialization for ReplicationDatabaseAuthIam """ # Construct a json representation of a ReplicationDatabaseAuthIam model replication_database_auth_iam_model_json = {} replication_database_auth_iam_model_json['api_key'] = 'testString' # Construct a model instance of ReplicationDatabaseAuthIam by calling from_dict on the json representation replication_database_auth_iam_model = ReplicationDatabaseAuthIam.from_dict(replication_database_auth_iam_model_json) assert replication_database_auth_iam_model != False # Construct a model instance of ReplicationDatabaseAuthIam by calling from_dict on the json representation replication_database_auth_iam_model_dict = ReplicationDatabaseAuthIam.from_dict(replication_database_auth_iam_model_json).__dict__ replication_database_auth_iam_model2 = ReplicationDatabaseAuthIam(**replication_database_auth_iam_model_dict) # Verify the model instances are equivalent assert replication_database_auth_iam_model == replication_database_auth_iam_model2 # Convert model instance back to dict and verify no loss of data replication_database_auth_iam_model_json2 = replication_database_auth_iam_model.to_dict() assert replication_database_auth_iam_model_json2 == replication_database_auth_iam_model_json class TestModel_ReplicationDocument(): """ Test Class for ReplicationDocument """ def test_replication_document_serialization(self): """ Test serialization/deserialization for ReplicationDocument """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' replication_create_target_parameters_model = {} # ReplicationCreateTargetParameters replication_create_target_parameters_model['n'] = 1 replication_create_target_parameters_model['partitioned'] = False replication_create_target_parameters_model['q'] = 1 replication_database_auth_basic_model = {} # ReplicationDatabaseAuthBasic replication_database_auth_basic_model['password'] = 'testString' replication_database_auth_basic_model['username'] = 'testString' replication_database_auth_iam_model = {} # ReplicationDatabaseAuthIam replication_database_auth_iam_model['api_key'] = 'testString' replication_database_auth_model = {} # ReplicationDatabaseAuth replication_database_auth_model['basic'] = replication_database_auth_basic_model replication_database_auth_model['iam'] = replication_database_auth_iam_model replication_database_model = {} # ReplicationDatabase replication_database_model['auth'] = replication_database_auth_model replication_database_model['headers'] = {} replication_database_model['url'] = 'testString' user_context_model = {} # UserContext user_context_model['db'] = 'testString' user_context_model['name'] = 'testString' user_context_model['roles'] = ['_reader'] # Construct a json representation of a ReplicationDocument model replication_document_model_json = {} replication_document_model_json['_attachments'] = {} replication_document_model_json['_conflicts'] = ['testString'] replication_document_model_json['_deleted'] = True replication_document_model_json['_deleted_conflicts'] = ['testString'] replication_document_model_json['_id'] = 'testString' replication_document_model_json['_local_seq'] = 'testString' replication_document_model_json['_rev'] = 'testString' replication_document_model_json['_revisions'] = revisions_model replication_document_model_json['_revs_info'] = [document_revision_status_model] replication_document_model_json['cancel'] = True replication_document_model_json['checkpoint_interval'] = 0 replication_document_model_json['connection_timeout'] = 0 replication_document_model_json['continuous'] = False replication_document_model_json['create_target'] = False replication_document_model_json['create_target_params'] = replication_create_target_parameters_model replication_document_model_json['doc_ids'] = ['testString'] replication_document_model_json['filter'] = 'testString' replication_document_model_json['http_connections'] = 1 replication_document_model_json['query_params'] = {} replication_document_model_json['retries_per_request'] = 0 replication_document_model_json['selector'] = {} replication_document_model_json['since_seq'] = 'testString' replication_document_model_json['socket_options'] = 'testString' replication_document_model_json['source'] = replication_database_model replication_document_model_json['source_proxy'] = 'testString' replication_document_model_json['target'] = replication_database_model replication_document_model_json['target_proxy'] = 'testString' replication_document_model_json['use_checkpoints'] = True replication_document_model_json['user_ctx'] = user_context_model replication_document_model_json['worker_batch_size'] = 1 replication_document_model_json['worker_processes'] = 1 replication_document_model_json['foo'] = 'testString' # Construct a model instance of ReplicationDocument by calling from_dict on the json representation replication_document_model = ReplicationDocument.from_dict(replication_document_model_json) assert replication_document_model != False # Construct a model instance of ReplicationDocument by calling from_dict on the json representation replication_document_model_dict = ReplicationDocument.from_dict(replication_document_model_json).__dict__ replication_document_model2 = ReplicationDocument(**replication_document_model_dict) # Verify the model instances are equivalent assert replication_document_model == replication_document_model2 # Convert model instance back to dict and verify no loss of data replication_document_model_json2 = replication_document_model.to_dict() assert replication_document_model_json2 == replication_document_model_json # Test get_properties and set_properties methods. replication_document_model.set_properties({}) actual_dict = replication_document_model.get_properties() assert actual_dict == {} expected_dict = {'foo': 'testString'} replication_document_model.set_properties(expected_dict) actual_dict = replication_document_model.get_properties() assert actual_dict == expected_dict class TestModel_Revisions(): """ Test Class for Revisions """ def test_revisions_serialization(self): """ Test serialization/deserialization for Revisions """ # Construct a json representation of a Revisions model revisions_model_json = {} revisions_model_json['ids'] = ['testString'] revisions_model_json['start'] = 1 # Construct a model instance of Revisions by calling from_dict on the json representation revisions_model = Revisions.from_dict(revisions_model_json) assert revisions_model != False # Construct a model instance of Revisions by calling from_dict on the json representation revisions_model_dict = Revisions.from_dict(revisions_model_json).__dict__ revisions_model2 = Revisions(**revisions_model_dict) # Verify the model instances are equivalent assert revisions_model == revisions_model2 # Convert model instance back to dict and verify no loss of data revisions_model_json2 = revisions_model.to_dict() assert revisions_model_json2 == revisions_model_json class TestModel_RevsDiff(): """ Test Class for RevsDiff """ def test_revs_diff_serialization(self): """ Test serialization/deserialization for RevsDiff """ # Construct a json representation of a RevsDiff model revs_diff_model_json = {} revs_diff_model_json['missing'] = ['testString'] revs_diff_model_json['possible_ancestors'] = ['testString'] # Construct a model instance of RevsDiff by calling from_dict on the json representation revs_diff_model = RevsDiff.from_dict(revs_diff_model_json) assert revs_diff_model != False # Construct a model instance of RevsDiff by calling from_dict on the json representation revs_diff_model_dict = RevsDiff.from_dict(revs_diff_model_json).__dict__ revs_diff_model2 = RevsDiff(**revs_diff_model_dict) # Verify the model instances are equivalent assert revs_diff_model == revs_diff_model2 # Convert model instance back to dict and verify no loss of data revs_diff_model_json2 = revs_diff_model.to_dict() assert revs_diff_model_json2 == revs_diff_model_json class TestModel_SchedulerDocsResult(): """ Test Class for SchedulerDocsResult """ def test_scheduler_docs_result_serialization(self): """ Test serialization/deserialization for SchedulerDocsResult """ # Construct dict forms of any model objects needed in order to build this model. scheduler_info_model = {} # SchedulerInfo scheduler_info_model['changes_pending'] = 0 scheduler_info_model['checkpointed_source_seq'] = 'testString' scheduler_info_model['doc_write_failures'] = 0 scheduler_info_model['docs_read'] = 0 scheduler_info_model['docs_written'] = 0 scheduler_info_model['error'] = 'testString' scheduler_info_model['missing_revisions_found'] = 0 scheduler_info_model['revisions_checked'] = 0 scheduler_info_model['source_seq'] = 'testString' scheduler_info_model['through_seq'] = 'testString' scheduler_document_model = {} # SchedulerDocument scheduler_document_model['database'] = 'testString' scheduler_document_model['doc_id'] = 'testString' scheduler_document_model['error_count'] = 0 scheduler_document_model['id'] = 'testString' scheduler_document_model['info'] = scheduler_info_model scheduler_document_model['last_updated'] = "2019-01-01T12:00:00Z" scheduler_document_model['node'] = 'testString' scheduler_document_model['source'] = 'testString' scheduler_document_model['source_proxy'] = 'testString' scheduler_document_model['start_time'] = "2019-01-01T12:00:00Z" scheduler_document_model['state'] = 'initializing' scheduler_document_model['target'] = 'testString' scheduler_document_model['target_proxy'] = 'testString' # Construct a json representation of a SchedulerDocsResult model scheduler_docs_result_model_json = {} scheduler_docs_result_model_json['total_rows'] = 0 scheduler_docs_result_model_json['docs'] = [scheduler_document_model] # Construct a model instance of SchedulerDocsResult by calling from_dict on the json representation scheduler_docs_result_model = SchedulerDocsResult.from_dict(scheduler_docs_result_model_json) assert scheduler_docs_result_model != False # Construct a model instance of SchedulerDocsResult by calling from_dict on the json representation scheduler_docs_result_model_dict = SchedulerDocsResult.from_dict(scheduler_docs_result_model_json).__dict__ scheduler_docs_result_model2 = SchedulerDocsResult(**scheduler_docs_result_model_dict) # Verify the model instances are equivalent assert scheduler_docs_result_model == scheduler_docs_result_model2 # Convert model instance back to dict and verify no loss of data scheduler_docs_result_model_json2 = scheduler_docs_result_model.to_dict() assert scheduler_docs_result_model_json2 == scheduler_docs_result_model_json class TestModel_SchedulerDocument(): """ Test Class for SchedulerDocument """ def test_scheduler_document_serialization(self): """ Test serialization/deserialization for SchedulerDocument """ # Construct dict forms of any model objects needed in order to build this model. scheduler_info_model = {} # SchedulerInfo scheduler_info_model['changes_pending'] = 0 scheduler_info_model['checkpointed_source_seq'] = 'testString' scheduler_info_model['doc_write_failures'] = 0 scheduler_info_model['docs_read'] = 0 scheduler_info_model['docs_written'] = 0 scheduler_info_model['error'] = 'testString' scheduler_info_model['missing_revisions_found'] = 0 scheduler_info_model['revisions_checked'] = 0 scheduler_info_model['source_seq'] = 'testString' scheduler_info_model['through_seq'] = 'testString' # Construct a json representation of a SchedulerDocument model scheduler_document_model_json = {} scheduler_document_model_json['database'] = 'testString' scheduler_document_model_json['doc_id'] = 'testString' scheduler_document_model_json['error_count'] = 0 scheduler_document_model_json['id'] = 'testString' scheduler_document_model_json['info'] = scheduler_info_model scheduler_document_model_json['last_updated'] = "2019-01-01T12:00:00Z" scheduler_document_model_json['node'] = 'testString' scheduler_document_model_json['source'] = 'testString' scheduler_document_model_json['source_proxy'] = 'testString' scheduler_document_model_json['start_time'] = "2019-01-01T12:00:00Z" scheduler_document_model_json['state'] = 'initializing' scheduler_document_model_json['target'] = 'testString' scheduler_document_model_json['target_proxy'] = 'testString' # Construct a model instance of SchedulerDocument by calling from_dict on the json representation scheduler_document_model = SchedulerDocument.from_dict(scheduler_document_model_json) assert scheduler_document_model != False # Construct a model instance of SchedulerDocument by calling from_dict on the json representation scheduler_document_model_dict = SchedulerDocument.from_dict(scheduler_document_model_json).__dict__ scheduler_document_model2 = SchedulerDocument(**scheduler_document_model_dict) # Verify the model instances are equivalent assert scheduler_document_model == scheduler_document_model2 # Convert model instance back to dict and verify no loss of data scheduler_document_model_json2 = scheduler_document_model.to_dict() assert scheduler_document_model_json2 == scheduler_document_model_json class TestModel_SchedulerInfo(): """ Test Class for SchedulerInfo """ def test_scheduler_info_serialization(self): """ Test serialization/deserialization for SchedulerInfo """ # Construct a json representation of a SchedulerInfo model scheduler_info_model_json = {} scheduler_info_model_json['changes_pending'] = 0 scheduler_info_model_json['checkpointed_source_seq'] = 'testString' scheduler_info_model_json['doc_write_failures'] = 0 scheduler_info_model_json['docs_read'] = 0 scheduler_info_model_json['docs_written'] = 0 scheduler_info_model_json['error'] = 'testString' scheduler_info_model_json['missing_revisions_found'] = 0 scheduler_info_model_json['revisions_checked'] = 0 scheduler_info_model_json['source_seq'] = 'testString' scheduler_info_model_json['through_seq'] = 'testString' # Construct a model instance of SchedulerInfo by calling from_dict on the json representation scheduler_info_model = SchedulerInfo.from_dict(scheduler_info_model_json) assert scheduler_info_model != False # Construct a model instance of SchedulerInfo by calling from_dict on the json representation scheduler_info_model_dict = SchedulerInfo.from_dict(scheduler_info_model_json).__dict__ scheduler_info_model2 = SchedulerInfo(**scheduler_info_model_dict) # Verify the model instances are equivalent assert scheduler_info_model == scheduler_info_model2 # Convert model instance back to dict and verify no loss of data scheduler_info_model_json2 = scheduler_info_model.to_dict() assert scheduler_info_model_json2 == scheduler_info_model_json class TestModel_SchedulerJob(): """ Test Class for SchedulerJob """ def test_scheduler_job_serialization(self): """ Test serialization/deserialization for SchedulerJob """ # Construct dict forms of any model objects needed in order to build this model. scheduler_job_event_model = {} # SchedulerJobEvent scheduler_job_event_model['reason'] = 'testString' scheduler_job_event_model['timestamp'] = "2019-01-01T12:00:00Z" scheduler_job_event_model['type'] = 'testString' scheduler_info_model = {} # SchedulerInfo scheduler_info_model['changes_pending'] = 0 scheduler_info_model['checkpointed_source_seq'] = 'testString' scheduler_info_model['doc_write_failures'] = 0 scheduler_info_model['docs_read'] = 0 scheduler_info_model['docs_written'] = 0 scheduler_info_model['error'] = 'testString' scheduler_info_model['missing_revisions_found'] = 0 scheduler_info_model['revisions_checked'] = 0 scheduler_info_model['source_seq'] = 'testString' scheduler_info_model['through_seq'] = 'testString' # Construct a json representation of a SchedulerJob model scheduler_job_model_json = {} scheduler_job_model_json['database'] = 'testString' scheduler_job_model_json['doc_id'] = 'testString' scheduler_job_model_json['history'] = [scheduler_job_event_model] scheduler_job_model_json['id'] = 'testString' scheduler_job_model_json['info'] = scheduler_info_model scheduler_job_model_json['node'] = 'testString' scheduler_job_model_json['pid'] = 'testString' scheduler_job_model_json['source'] = 'testString' scheduler_job_model_json['start_time'] = "2019-01-01T12:00:00Z" scheduler_job_model_json['target'] = 'testString' scheduler_job_model_json['user'] = 'testString' # Construct a model instance of SchedulerJob by calling from_dict on the json representation scheduler_job_model = SchedulerJob.from_dict(scheduler_job_model_json) assert scheduler_job_model != False # Construct a model instance of SchedulerJob by calling from_dict on the json representation scheduler_job_model_dict = SchedulerJob.from_dict(scheduler_job_model_json).__dict__ scheduler_job_model2 = SchedulerJob(**scheduler_job_model_dict) # Verify the model instances are equivalent assert scheduler_job_model == scheduler_job_model2 # Convert model instance back to dict and verify no loss of data scheduler_job_model_json2 = scheduler_job_model.to_dict() assert scheduler_job_model_json2 == scheduler_job_model_json class TestModel_SchedulerJobEvent(): """ Test Class for SchedulerJobEvent """ def test_scheduler_job_event_serialization(self): """ Test serialization/deserialization for SchedulerJobEvent """ # Construct a json representation of a SchedulerJobEvent model scheduler_job_event_model_json = {} scheduler_job_event_model_json['reason'] = 'testString' scheduler_job_event_model_json['timestamp'] = "2019-01-01T12:00:00Z" scheduler_job_event_model_json['type'] = 'testString' # Construct a model instance of SchedulerJobEvent by calling from_dict on the json representation scheduler_job_event_model = SchedulerJobEvent.from_dict(scheduler_job_event_model_json) assert scheduler_job_event_model != False # Construct a model instance of SchedulerJobEvent by calling from_dict on the json representation scheduler_job_event_model_dict = SchedulerJobEvent.from_dict(scheduler_job_event_model_json).__dict__ scheduler_job_event_model2 = SchedulerJobEvent(**scheduler_job_event_model_dict) # Verify the model instances are equivalent assert scheduler_job_event_model == scheduler_job_event_model2 # Convert model instance back to dict and verify no loss of data scheduler_job_event_model_json2 = scheduler_job_event_model.to_dict() assert scheduler_job_event_model_json2 == scheduler_job_event_model_json class TestModel_SchedulerJobsResult(): """ Test Class for SchedulerJobsResult """ def test_scheduler_jobs_result_serialization(self): """ Test serialization/deserialization for SchedulerJobsResult """ # Construct dict forms of any model objects needed in order to build this model. scheduler_job_event_model = {} # SchedulerJobEvent scheduler_job_event_model['reason'] = 'testString' scheduler_job_event_model['timestamp'] = "2019-01-01T12:00:00Z" scheduler_job_event_model['type'] = 'testString' scheduler_info_model = {} # SchedulerInfo scheduler_info_model['changes_pending'] = 0 scheduler_info_model['checkpointed_source_seq'] = 'testString' scheduler_info_model['doc_write_failures'] = 0 scheduler_info_model['docs_read'] = 0 scheduler_info_model['docs_written'] = 0 scheduler_info_model['error'] = 'testString' scheduler_info_model['missing_revisions_found'] = 0 scheduler_info_model['revisions_checked'] = 0 scheduler_info_model['source_seq'] = 'testString' scheduler_info_model['through_seq'] = 'testString' scheduler_job_model = {} # SchedulerJob scheduler_job_model['database'] = 'testString' scheduler_job_model['doc_id'] = 'testString' scheduler_job_model['history'] = [scheduler_job_event_model] scheduler_job_model['id'] = 'testString' scheduler_job_model['info'] = scheduler_info_model scheduler_job_model['node'] = 'testString' scheduler_job_model['pid'] = 'testString' scheduler_job_model['source'] = 'testString' scheduler_job_model['start_time'] = "2019-01-01T12:00:00Z" scheduler_job_model['target'] = 'testString' scheduler_job_model['user'] = 'testString' # Construct a json representation of a SchedulerJobsResult model scheduler_jobs_result_model_json = {} scheduler_jobs_result_model_json['total_rows'] = 0 scheduler_jobs_result_model_json['jobs'] = [scheduler_job_model] # Construct a model instance of SchedulerJobsResult by calling from_dict on the json representation scheduler_jobs_result_model = SchedulerJobsResult.from_dict(scheduler_jobs_result_model_json) assert scheduler_jobs_result_model != False # Construct a model instance of SchedulerJobsResult by calling from_dict on the json representation scheduler_jobs_result_model_dict = SchedulerJobsResult.from_dict(scheduler_jobs_result_model_json).__dict__ scheduler_jobs_result_model2 = SchedulerJobsResult(**scheduler_jobs_result_model_dict) # Verify the model instances are equivalent assert scheduler_jobs_result_model == scheduler_jobs_result_model2 # Convert model instance back to dict and verify no loss of data scheduler_jobs_result_model_json2 = scheduler_jobs_result_model.to_dict() assert scheduler_jobs_result_model_json2 == scheduler_jobs_result_model_json class TestModel_SearchAnalyzeResult(): """ Test Class for SearchAnalyzeResult """ def test_search_analyze_result_serialization(self): """ Test serialization/deserialization for SearchAnalyzeResult """ # Construct a json representation of a SearchAnalyzeResult model search_analyze_result_model_json = {} search_analyze_result_model_json['tokens'] = ['testString'] # Construct a model instance of SearchAnalyzeResult by calling from_dict on the json representation search_analyze_result_model = SearchAnalyzeResult.from_dict(search_analyze_result_model_json) assert search_analyze_result_model != False # Construct a model instance of SearchAnalyzeResult by calling from_dict on the json representation search_analyze_result_model_dict = SearchAnalyzeResult.from_dict(search_analyze_result_model_json).__dict__ search_analyze_result_model2 = SearchAnalyzeResult(**search_analyze_result_model_dict) # Verify the model instances are equivalent assert search_analyze_result_model == search_analyze_result_model2 # Convert model instance back to dict and verify no loss of data search_analyze_result_model_json2 = search_analyze_result_model.to_dict() assert search_analyze_result_model_json2 == search_analyze_result_model_json class TestModel_SearchIndexDefinition(): """ Test Class for SearchIndexDefinition """ def test_search_index_definition_serialization(self): """ Test serialization/deserialization for SearchIndexDefinition """ # Construct dict forms of any model objects needed in order to build this model. analyzer_model = {} # Analyzer analyzer_model['name'] = 'classic' analyzer_model['stopwords'] = ['testString'] analyzer_configuration_model = {} # AnalyzerConfiguration analyzer_configuration_model['name'] = 'classic' analyzer_configuration_model['stopwords'] = ['testString'] analyzer_configuration_model['fields'] = {} # Construct a json representation of a SearchIndexDefinition model search_index_definition_model_json = {} search_index_definition_model_json['analyzer'] = analyzer_configuration_model search_index_definition_model_json['index'] = 'testString' # Construct a model instance of SearchIndexDefinition by calling from_dict on the json representation search_index_definition_model = SearchIndexDefinition.from_dict(search_index_definition_model_json) assert search_index_definition_model != False # Construct a model instance of SearchIndexDefinition by calling from_dict on the json representation search_index_definition_model_dict = SearchIndexDefinition.from_dict(search_index_definition_model_json).__dict__ search_index_definition_model2 = SearchIndexDefinition(**search_index_definition_model_dict) # Verify the model instances are equivalent assert search_index_definition_model == search_index_definition_model2 # Convert model instance back to dict and verify no loss of data search_index_definition_model_json2 = search_index_definition_model.to_dict() assert search_index_definition_model_json2 == search_index_definition_model_json class TestModel_SearchIndexInfo(): """ Test Class for SearchIndexInfo """ def test_search_index_info_serialization(self): """ Test serialization/deserialization for SearchIndexInfo """ # Construct a json representation of a SearchIndexInfo model search_index_info_model_json = {} search_index_info_model_json['committed_seq'] = 26 search_index_info_model_json['disk_size'] = 0 search_index_info_model_json['doc_count'] = 0 search_index_info_model_json['doc_del_count'] = 0 search_index_info_model_json['pending_seq'] = 26 # Construct a model instance of SearchIndexInfo by calling from_dict on the json representation search_index_info_model = SearchIndexInfo.from_dict(search_index_info_model_json) assert search_index_info_model != False # Construct a model instance of SearchIndexInfo by calling from_dict on the json representation search_index_info_model_dict = SearchIndexInfo.from_dict(search_index_info_model_json).__dict__ search_index_info_model2 = SearchIndexInfo(**search_index_info_model_dict) # Verify the model instances are equivalent assert search_index_info_model == search_index_info_model2 # Convert model instance back to dict and verify no loss of data search_index_info_model_json2 = search_index_info_model.to_dict() assert search_index_info_model_json2 == search_index_info_model_json class TestModel_SearchInfoResult(): """ Test Class for SearchInfoResult """ def test_search_info_result_serialization(self): """ Test serialization/deserialization for SearchInfoResult """ # Construct dict forms of any model objects needed in order to build this model. search_index_info_model = {} # SearchIndexInfo search_index_info_model['committed_seq'] = 26 search_index_info_model['disk_size'] = 0 search_index_info_model['doc_count'] = 0 search_index_info_model['doc_del_count'] = 0 search_index_info_model['pending_seq'] = 26 # Construct a json representation of a SearchInfoResult model search_info_result_model_json = {} search_info_result_model_json['name'] = 'testString' search_info_result_model_json['search_index'] = search_index_info_model # Construct a model instance of SearchInfoResult by calling from_dict on the json representation search_info_result_model = SearchInfoResult.from_dict(search_info_result_model_json) assert search_info_result_model != False # Construct a model instance of SearchInfoResult by calling from_dict on the json representation search_info_result_model_dict = SearchInfoResult.from_dict(search_info_result_model_json).__dict__ search_info_result_model2 = SearchInfoResult(**search_info_result_model_dict) # Verify the model instances are equivalent assert search_info_result_model == search_info_result_model2 # Convert model instance back to dict and verify no loss of data search_info_result_model_json2 = search_info_result_model.to_dict() assert search_info_result_model_json2 == search_info_result_model_json class TestModel_SearchResult(): """ Test Class for SearchResult """ def test_search_result_serialization(self): """ Test serialization/deserialization for SearchResult """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' search_result_row_model = {} # SearchResultRow search_result_row_model['doc'] = document_model search_result_row_model['fields'] = {} search_result_row_model['highlights'] = {} search_result_row_model['id'] = 'testString' search_result_properties_model = {} # SearchResultProperties search_result_properties_model['total_rows'] = 0 search_result_properties_model['bookmark'] = 'testString' search_result_properties_model['by'] = 'testString' search_result_properties_model['counts'] = {} search_result_properties_model['ranges'] = {} search_result_properties_model['rows'] = [search_result_row_model] # Construct a json representation of a SearchResult model search_result_model_json = {} search_result_model_json['total_rows'] = 0 search_result_model_json['bookmark'] = 'testString' search_result_model_json['by'] = 'testString' search_result_model_json['counts'] = {} search_result_model_json['ranges'] = {} search_result_model_json['rows'] = [search_result_row_model] search_result_model_json['groups'] = [search_result_properties_model] # Construct a model instance of SearchResult by calling from_dict on the json representation search_result_model = SearchResult.from_dict(search_result_model_json) assert search_result_model != False # Construct a model instance of SearchResult by calling from_dict on the json representation search_result_model_dict = SearchResult.from_dict(search_result_model_json).__dict__ search_result_model2 = SearchResult(**search_result_model_dict) # Verify the model instances are equivalent assert search_result_model == search_result_model2 # Convert model instance back to dict and verify no loss of data search_result_model_json2 = search_result_model.to_dict() assert search_result_model_json2 == search_result_model_json class TestModel_SearchResultProperties(): """ Test Class for SearchResultProperties """ def test_search_result_properties_serialization(self): """ Test serialization/deserialization for SearchResultProperties """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' search_result_row_model = {} # SearchResultRow search_result_row_model['doc'] = document_model search_result_row_model['fields'] = {} search_result_row_model['highlights'] = {} search_result_row_model['id'] = 'testString' # Construct a json representation of a SearchResultProperties model search_result_properties_model_json = {} search_result_properties_model_json['total_rows'] = 0 search_result_properties_model_json['bookmark'] = 'testString' search_result_properties_model_json['by'] = 'testString' search_result_properties_model_json['counts'] = {} search_result_properties_model_json['ranges'] = {} search_result_properties_model_json['rows'] = [search_result_row_model] # Construct a model instance of SearchResultProperties by calling from_dict on the json representation search_result_properties_model = SearchResultProperties.from_dict(search_result_properties_model_json) assert search_result_properties_model != False # Construct a model instance of SearchResultProperties by calling from_dict on the json representation search_result_properties_model_dict = SearchResultProperties.from_dict(search_result_properties_model_json).__dict__ search_result_properties_model2 = SearchResultProperties(**search_result_properties_model_dict) # Verify the model instances are equivalent assert search_result_properties_model == search_result_properties_model2 # Convert model instance back to dict and verify no loss of data search_result_properties_model_json2 = search_result_properties_model.to_dict() assert search_result_properties_model_json2 == search_result_properties_model_json class TestModel_SearchResultRow(): """ Test Class for SearchResultRow """ def test_search_result_row_serialization(self): """ Test serialization/deserialization for SearchResultRow """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a json representation of a SearchResultRow model search_result_row_model_json = {} search_result_row_model_json['doc'] = document_model search_result_row_model_json['fields'] = {} search_result_row_model_json['highlights'] = {} search_result_row_model_json['id'] = 'testString' # Construct a model instance of SearchResultRow by calling from_dict on the json representation search_result_row_model = SearchResultRow.from_dict(search_result_row_model_json) assert search_result_row_model != False # Construct a model instance of SearchResultRow by calling from_dict on the json representation search_result_row_model_dict = SearchResultRow.from_dict(search_result_row_model_json).__dict__ search_result_row_model2 = SearchResultRow(**search_result_row_model_dict) # Verify the model instances are equivalent assert search_result_row_model == search_result_row_model2 # Convert model instance back to dict and verify no loss of data search_result_row_model_json2 = search_result_row_model.to_dict() assert search_result_row_model_json2 == search_result_row_model_json class TestModel_Security(): """ Test Class for Security """ def test_security_serialization(self): """ Test serialization/deserialization for Security """ # Construct dict forms of any model objects needed in order to build this model. security_object_model = {} # SecurityObject security_object_model['names'] = ['testString'] security_object_model['roles'] = ['testString'] # Construct a json representation of a Security model security_model_json = {} security_model_json['admins'] = security_object_model security_model_json['members'] = security_object_model security_model_json['cloudant'] = {} security_model_json['couchdb_auth_only'] = True # Construct a model instance of Security by calling from_dict on the json representation security_model = Security.from_dict(security_model_json) assert security_model != False # Construct a model instance of Security by calling from_dict on the json representation security_model_dict = Security.from_dict(security_model_json).__dict__ security_model2 = Security(**security_model_dict) # Verify the model instances are equivalent assert security_model == security_model2 # Convert model instance back to dict and verify no loss of data security_model_json2 = security_model.to_dict() assert security_model_json2 == security_model_json class TestModel_SecurityObject(): """ Test Class for SecurityObject """ def test_security_object_serialization(self): """ Test serialization/deserialization for SecurityObject """ # Construct a json representation of a SecurityObject model security_object_model_json = {} security_object_model_json['names'] = ['testString'] security_object_model_json['roles'] = ['testString'] # Construct a model instance of SecurityObject by calling from_dict on the json representation security_object_model = SecurityObject.from_dict(security_object_model_json) assert security_object_model != False # Construct a model instance of SecurityObject by calling from_dict on the json representation security_object_model_dict = SecurityObject.from_dict(security_object_model_json).__dict__ security_object_model2 = SecurityObject(**security_object_model_dict) # Verify the model instances are equivalent assert security_object_model == security_object_model2 # Convert model instance back to dict and verify no loss of data security_object_model_json2 = security_object_model.to_dict() assert security_object_model_json2 == security_object_model_json class TestModel_ServerInformation(): """ Test Class for ServerInformation """ def test_server_information_serialization(self): """ Test serialization/deserialization for ServerInformation """ # Construct dict forms of any model objects needed in order to build this model. server_vendor_model = {} # ServerVendor server_vendor_model['name'] = 'testString' server_vendor_model['variant'] = 'testString' server_vendor_model['version'] = 'testString' # Construct a json representation of a ServerInformation model server_information_model_json = {} server_information_model_json['couchdb'] = 'testString' server_information_model_json['features'] = ['testString'] server_information_model_json['vendor'] = server_vendor_model server_information_model_json['version'] = 'testString' server_information_model_json['features_flags'] = ['testString'] # Construct a model instance of ServerInformation by calling from_dict on the json representation server_information_model = ServerInformation.from_dict(server_information_model_json) assert server_information_model != False # Construct a model instance of ServerInformation by calling from_dict on the json representation server_information_model_dict = ServerInformation.from_dict(server_information_model_json).__dict__ server_information_model2 = ServerInformation(**server_information_model_dict) # Verify the model instances are equivalent assert server_information_model == server_information_model2 # Convert model instance back to dict and verify no loss of data server_information_model_json2 = server_information_model.to_dict() assert server_information_model_json2 == server_information_model_json class TestModel_ServerVendor(): """ Test Class for ServerVendor """ def test_server_vendor_serialization(self): """ Test serialization/deserialization for ServerVendor """ # Construct a json representation of a ServerVendor model server_vendor_model_json = {} server_vendor_model_json['name'] = 'testString' server_vendor_model_json['variant'] = 'testString' server_vendor_model_json['version'] = 'testString' # Construct a model instance of ServerVendor by calling from_dict on the json representation server_vendor_model = ServerVendor.from_dict(server_vendor_model_json) assert server_vendor_model != False # Construct a model instance of ServerVendor by calling from_dict on the json representation server_vendor_model_dict = ServerVendor.from_dict(server_vendor_model_json).__dict__ server_vendor_model2 = ServerVendor(**server_vendor_model_dict) # Verify the model instances are equivalent assert server_vendor_model == server_vendor_model2 # Convert model instance back to dict and verify no loss of data server_vendor_model_json2 = server_vendor_model.to_dict() assert server_vendor_model_json2 == server_vendor_model_json class TestModel_SessionAuthentication(): """ Test Class for SessionAuthentication """ def test_session_authentication_serialization(self): """ Test serialization/deserialization for SessionAuthentication """ # Construct a json representation of a SessionAuthentication model session_authentication_model_json = {} session_authentication_model_json['authenticated'] = 'testString' session_authentication_model_json['authentication_db'] = 'testString' session_authentication_model_json['authentication_handlers'] = ['testString'] # Construct a model instance of SessionAuthentication by calling from_dict on the json representation session_authentication_model = SessionAuthentication.from_dict(session_authentication_model_json) assert session_authentication_model != False # Construct a model instance of SessionAuthentication by calling from_dict on the json representation session_authentication_model_dict = SessionAuthentication.from_dict(session_authentication_model_json).__dict__ session_authentication_model2 = SessionAuthentication(**session_authentication_model_dict) # Verify the model instances are equivalent assert session_authentication_model == session_authentication_model2 # Convert model instance back to dict and verify no loss of data session_authentication_model_json2 = session_authentication_model.to_dict() assert session_authentication_model_json2 == session_authentication_model_json class TestModel_SessionInformation(): """ Test Class for SessionInformation """ def test_session_information_serialization(self): """ Test serialization/deserialization for SessionInformation """ # Construct dict forms of any model objects needed in order to build this model. session_authentication_model = {} # SessionAuthentication session_authentication_model['authenticated'] = 'testString' session_authentication_model['authentication_db'] = 'testString' session_authentication_model['authentication_handlers'] = ['testString'] user_context_model = {} # UserContext user_context_model['db'] = 'testString' user_context_model['name'] = 'testString' user_context_model['roles'] = ['_reader'] # Construct a json representation of a SessionInformation model session_information_model_json = {} session_information_model_json['ok'] = True session_information_model_json['info'] = session_authentication_model session_information_model_json['userCtx'] = user_context_model # Construct a model instance of SessionInformation by calling from_dict on the json representation session_information_model = SessionInformation.from_dict(session_information_model_json) assert session_information_model != False # Construct a model instance of SessionInformation by calling from_dict on the json representation session_information_model_dict = SessionInformation.from_dict(session_information_model_json).__dict__ session_information_model2 = SessionInformation(**session_information_model_dict) # Verify the model instances are equivalent assert session_information_model == session_information_model2 # Convert model instance back to dict and verify no loss of data session_information_model_json2 = session_information_model.to_dict() assert session_information_model_json2 == session_information_model_json class TestModel_ShardsInformation(): """ Test Class for ShardsInformation """ def test_shards_information_serialization(self): """ Test serialization/deserialization for ShardsInformation """ # Construct a json representation of a ShardsInformation model shards_information_model_json = {} shards_information_model_json['shards'] = {} # Construct a model instance of ShardsInformation by calling from_dict on the json representation shards_information_model = ShardsInformation.from_dict(shards_information_model_json) assert shards_information_model != False # Construct a model instance of ShardsInformation by calling from_dict on the json representation shards_information_model_dict = ShardsInformation.from_dict(shards_information_model_json).__dict__ shards_information_model2 = ShardsInformation(**shards_information_model_dict) # Verify the model instances are equivalent assert shards_information_model == shards_information_model2 # Convert model instance back to dict and verify no loss of data shards_information_model_json2 = shards_information_model.to_dict() assert shards_information_model_json2 == shards_information_model_json class TestModel_ThroughputInformation(): """ Test Class for ThroughputInformation """ def test_throughput_information_serialization(self): """ Test serialization/deserialization for ThroughputInformation """ # Construct a json representation of a ThroughputInformation model throughput_information_model_json = {} throughput_information_model_json['blocks'] = 0 throughput_information_model_json['query'] = 0 throughput_information_model_json['read'] = 0 throughput_information_model_json['write'] = 0 # Construct a model instance of ThroughputInformation by calling from_dict on the json representation throughput_information_model = ThroughputInformation.from_dict(throughput_information_model_json) assert throughput_information_model != False # Construct a model instance of ThroughputInformation by calling from_dict on the json representation throughput_information_model_dict = ThroughputInformation.from_dict(throughput_information_model_json).__dict__ throughput_information_model2 = ThroughputInformation(**throughput_information_model_dict) # Verify the model instances are equivalent assert throughput_information_model == throughput_information_model2 # Convert model instance back to dict and verify no loss of data throughput_information_model_json2 = throughput_information_model.to_dict() assert throughput_information_model_json2 == throughput_information_model_json class TestModel_UpInformation(): """ Test Class for UpInformation """ def test_up_information_serialization(self): """ Test serialization/deserialization for UpInformation """ # Construct a json representation of a UpInformation model up_information_model_json = {} up_information_model_json['seeds'] = { 'foo': 'bar' } up_information_model_json['status'] = 'maintenance_mode' # Construct a model instance of UpInformation by calling from_dict on the json representation up_information_model = UpInformation.from_dict(up_information_model_json) assert up_information_model != False # Construct a model instance of UpInformation by calling from_dict on the json representation up_information_model_dict = UpInformation.from_dict(up_information_model_json).__dict__ up_information_model2 = UpInformation(**up_information_model_dict) # Verify the model instances are equivalent assert up_information_model == up_information_model2 # Convert model instance back to dict and verify no loss of data up_information_model_json2 = up_information_model.to_dict() assert up_information_model_json2 == up_information_model_json class TestModel_UserContext(): """ Test Class for UserContext """ def test_user_context_serialization(self): """ Test serialization/deserialization for UserContext """ # Construct a json representation of a UserContext model user_context_model_json = {} user_context_model_json['db'] = 'testString' user_context_model_json['name'] = 'testString' user_context_model_json['roles'] = ['_reader'] # Construct a model instance of UserContext by calling from_dict on the json representation user_context_model = UserContext.from_dict(user_context_model_json) assert user_context_model != False # Construct a model instance of UserContext by calling from_dict on the json representation user_context_model_dict = UserContext.from_dict(user_context_model_json).__dict__ user_context_model2 = UserContext(**user_context_model_dict) # Verify the model instances are equivalent assert user_context_model == user_context_model2 # Convert model instance back to dict and verify no loss of data user_context_model_json2 = user_context_model.to_dict() assert user_context_model_json2 == user_context_model_json class TestModel_UuidsResult(): """ Test Class for UuidsResult """ def test_uuids_result_serialization(self): """ Test serialization/deserialization for UuidsResult """ # Construct a json representation of a UuidsResult model uuids_result_model_json = {} uuids_result_model_json['uuids'] = ['testString'] # Construct a model instance of UuidsResult by calling from_dict on the json representation uuids_result_model = UuidsResult.from_dict(uuids_result_model_json) assert uuids_result_model != False # Construct a model instance of UuidsResult by calling from_dict on the json representation uuids_result_model_dict = UuidsResult.from_dict(uuids_result_model_json).__dict__ uuids_result_model2 = UuidsResult(**uuids_result_model_dict) # Verify the model instances are equivalent assert uuids_result_model == uuids_result_model2 # Convert model instance back to dict and verify no loss of data uuids_result_model_json2 = uuids_result_model.to_dict() assert uuids_result_model_json2 == uuids_result_model_json class TestModel_ViewQueriesResult(): """ Test Class for ViewQueriesResult """ def test_view_queries_result_serialization(self): """ Test serialization/deserialization for ViewQueriesResult """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' view_result_row_model = {} # ViewResultRow view_result_row_model['caused_by'] = 'testString' view_result_row_model['error'] = 'testString' view_result_row_model['reason'] = 'testString' view_result_row_model['doc'] = document_model view_result_row_model['id'] = 'testString' view_result_row_model['key'] = 'testString' view_result_row_model['value'] = 'testString' view_result_model = {} # ViewResult view_result_model['total_rows'] = 0 view_result_model['update_seq'] = 'testString' view_result_model['rows'] = [view_result_row_model] # Construct a json representation of a ViewQueriesResult model view_queries_result_model_json = {} view_queries_result_model_json['results'] = [view_result_model] # Construct a model instance of ViewQueriesResult by calling from_dict on the json representation view_queries_result_model = ViewQueriesResult.from_dict(view_queries_result_model_json) assert view_queries_result_model != False # Construct a model instance of ViewQueriesResult by calling from_dict on the json representation view_queries_result_model_dict = ViewQueriesResult.from_dict(view_queries_result_model_json).__dict__ view_queries_result_model2 = ViewQueriesResult(**view_queries_result_model_dict) # Verify the model instances are equivalent assert view_queries_result_model == view_queries_result_model2 # Convert model instance back to dict and verify no loss of data view_queries_result_model_json2 = view_queries_result_model.to_dict() assert view_queries_result_model_json2 == view_queries_result_model_json class TestModel_ViewQuery(): """ Test Class for ViewQuery """ def test_view_query_serialization(self): """ Test serialization/deserialization for ViewQuery """ # Construct a json representation of a ViewQuery model view_query_model_json = {} view_query_model_json['att_encoding_info'] = False view_query_model_json['attachments'] = False view_query_model_json['conflicts'] = False view_query_model_json['descending'] = False view_query_model_json['include_docs'] = False view_query_model_json['inclusive_end'] = True view_query_model_json['limit'] = 0 view_query_model_json['skip'] = 0 view_query_model_json['update_seq'] = False view_query_model_json['endkey'] = 'testString' view_query_model_json['endkey_docid'] = 'testString' view_query_model_json['group'] = False view_query_model_json['group_level'] = 1 view_query_model_json['key'] = 'testString' view_query_model_json['keys'] = ['testString'] view_query_model_json['reduce'] = True view_query_model_json['stable'] = False view_query_model_json['startkey'] = 'testString' view_query_model_json['startkey_docid'] = 'testString' view_query_model_json['update'] = 'true' # Construct a model instance of ViewQuery by calling from_dict on the json representation view_query_model = ViewQuery.from_dict(view_query_model_json) assert view_query_model != False # Construct a model instance of ViewQuery by calling from_dict on the json representation view_query_model_dict = ViewQuery.from_dict(view_query_model_json).__dict__ view_query_model2 = ViewQuery(**view_query_model_dict) # Verify the model instances are equivalent assert view_query_model == view_query_model2 # Convert model instance back to dict and verify no loss of data view_query_model_json2 = view_query_model.to_dict() assert view_query_model_json2 == view_query_model_json class TestModel_ViewResult(): """ Test Class for ViewResult """ def test_view_result_serialization(self): """ Test serialization/deserialization for ViewResult """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' view_result_row_model = {} # ViewResultRow view_result_row_model['caused_by'] = 'testString' view_result_row_model['error'] = 'testString' view_result_row_model['reason'] = 'testString' view_result_row_model['doc'] = document_model view_result_row_model['id'] = 'testString' view_result_row_model['key'] = 'testString' view_result_row_model['value'] = 'testString' # Construct a json representation of a ViewResult model view_result_model_json = {} view_result_model_json['total_rows'] = 0 view_result_model_json['update_seq'] = 'testString' view_result_model_json['rows'] = [view_result_row_model] # Construct a model instance of ViewResult by calling from_dict on the json representation view_result_model = ViewResult.from_dict(view_result_model_json) assert view_result_model != False # Construct a model instance of ViewResult by calling from_dict on the json representation view_result_model_dict = ViewResult.from_dict(view_result_model_json).__dict__ view_result_model2 = ViewResult(**view_result_model_dict) # Verify the model instances are equivalent assert view_result_model == view_result_model2 # Convert model instance back to dict and verify no loss of data view_result_model_json2 = view_result_model.to_dict() assert view_result_model_json2 == view_result_model_json class TestModel_ViewResultRow(): """ Test Class for ViewResultRow """ def test_view_result_row_serialization(self): """ Test serialization/deserialization for ViewResultRow """ # Construct dict forms of any model objects needed in order to build this model. attachment_model = {} # Attachment attachment_model['content_type'] = 'testString' attachment_model['data'] = 'VGhpcyBpcyBhIG1vY2sgYnl0ZSBhcnJheSB2YWx1ZS4=' attachment_model['digest'] = 'testString' attachment_model['encoded_length'] = 0 attachment_model['encoding'] = 'testString' attachment_model['follows'] = True attachment_model['length'] = 0 attachment_model['revpos'] = 1 attachment_model['stub'] = True revisions_model = {} # Revisions revisions_model['ids'] = ['testString'] revisions_model['start'] = 1 document_revision_status_model = {} # DocumentRevisionStatus document_revision_status_model['rev'] = 'testString' document_revision_status_model['status'] = 'available' document_model = {} # Document document_model['_attachments'] = {} document_model['_conflicts'] = ['testString'] document_model['_deleted'] = True document_model['_deleted_conflicts'] = ['testString'] document_model['_id'] = 'testString' document_model['_local_seq'] = 'testString' document_model['_rev'] = 'testString' document_model['_revisions'] = revisions_model document_model['_revs_info'] = [document_revision_status_model] document_model['foo'] = 'testString' # Construct a json representation of a ViewResultRow model view_result_row_model_json = {} view_result_row_model_json['caused_by'] = 'testString' view_result_row_model_json['error'] = 'testString' view_result_row_model_json['reason'] = 'testString' view_result_row_model_json['doc'] = document_model view_result_row_model_json['id'] = 'testString' view_result_row_model_json['key'] = 'testString' view_result_row_model_json['value'] = 'testString' # Construct a model instance of ViewResultRow by calling from_dict on the json representation view_result_row_model = ViewResultRow.from_dict(view_result_row_model_json) assert view_result_row_model != False # Construct a model instance of ViewResultRow by calling from_dict on the json representation view_result_row_model_dict = ViewResultRow.from_dict(view_result_row_model_json).__dict__ view_result_row_model2 = ViewResultRow(**view_result_row_model_dict) # Verify the model instances are equivalent assert view_result_row_model == view_result_row_model2 # Convert model instance back to dict and verify no loss of data view_result_row_model_json2 = view_result_row_model.to_dict() assert view_result_row_model_json2 == view_result_row_model_json class TestModel_GeoJsonGeometry(): """ Test Class for GeoJsonGeometry """ def test_geo_json_geometry_serialization(self): """ Test serialization/deserialization for GeoJsonGeometry """ # Construct a json representation of a GeoJsonGeometry model geo_json_geometry_model_json = {} geo_json_geometry_model_json['type'] = 'Point' geo_json_geometry_model_json['coordinates'] = ['testString'] # Construct a model instance of GeoJsonGeometry by calling from_dict on the json representation geo_json_geometry_model = GeoJsonGeometry.from_dict(geo_json_geometry_model_json) assert geo_json_geometry_model != False # Construct a model instance of GeoJsonGeometry by calling from_dict on the json representation geo_json_geometry_model_dict = GeoJsonGeometry.from_dict(geo_json_geometry_model_json).__dict__ geo_json_geometry_model2 = GeoJsonGeometry(**geo_json_geometry_model_dict) # Verify the model instances are equivalent assert geo_json_geometry_model == geo_json_geometry_model2 # Convert model instance back to dict and verify no loss of data geo_json_geometry_model_json2 = geo_json_geometry_model.to_dict() assert geo_json_geometry_model_json2 == geo_json_geometry_model_json class TestModel_GeoJsonGeometryCollection(): """ Test Class for GeoJsonGeometryCollection """ def test_geo_json_geometry_collection_serialization(self): """ Test serialization/deserialization for GeoJsonGeometryCollection """ # Construct dict forms of any model objects needed in order to build this model. geo_json_geometry_model = {} # GeoJsonGeometry geo_json_geometry_model['type'] = 'Point' geo_json_geometry_model['coordinates'] = ['testString'] # Construct a json representation of a GeoJsonGeometryCollection model geo_json_geometry_collection_model_json = {} geo_json_geometry_collection_model_json['type'] = 'Point' geo_json_geometry_collection_model_json['geometries'] = [geo_json_geometry_model] # Construct a model instance of GeoJsonGeometryCollection by calling from_dict on the json representation geo_json_geometry_collection_model = GeoJsonGeometryCollection.from_dict(geo_json_geometry_collection_model_json) assert geo_json_geometry_collection_model != False # Construct a model instance of GeoJsonGeometryCollection by calling from_dict on the json representation geo_json_geometry_collection_model_dict = GeoJsonGeometryCollection.from_dict(geo_json_geometry_collection_model_json).__dict__ geo_json_geometry_collection_model2 = GeoJsonGeometryCollection(**geo_json_geometry_collection_model_dict) # Verify the model instances are equivalent assert geo_json_geometry_collection_model == geo_json_geometry_collection_model2 # Convert model instance back to dict and verify no loss of data geo_json_geometry_collection_model_json2 = geo_json_geometry_collection_model.to_dict() assert geo_json_geometry_collection_model_json2 == geo_json_geometry_collection_model_json # endregion ############################################################################## # End of Model Tests ##############################################################################

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1

0

1

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null

0

8

7915c0398284363846ac6ff5d2243209ff6ba461

10,197

py

Python

src/client/gen-py/cse124/ttypes.py

Atyansh/TwitterRPC

e5e252a3a7289d92af9187d7d6fc1d5bce74c984

[ "BSD-2-Clause-FreeBSD" ]

null

src/client/gen-py/cse124/ttypes.py

Atyansh/TwitterRPC

e5e252a3a7289d92af9187d7d6fc1d5bce74c984

[ "BSD-2-Clause-FreeBSD" ]

null

src/client/gen-py/cse124/ttypes.py

Atyansh/TwitterRPC

e5e252a3a7289d92af9187d7d6fc1d5bce74c984

[ "BSD-2-Clause-FreeBSD" ]

null

# # Autogenerated by Thrift Compiler (0.9.0) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TException, TApplicationException from thrift.transport import TTransport from thrift.protocol import TBinaryProtocol, TProtocol try: from thrift.protocol import fastbinary except: fastbinary = None class Tweet: """ Attributes: - tweetId - handle - posted - numStars - tweetString """ thrift_spec = ( None, # 0 (1, TType.I64, 'tweetId', None, None, ), # 1 (2, TType.STRING, 'handle', None, None, ), # 2 (3, TType.I64, 'posted', None, None, ), # 3 (4, TType.I32, 'numStars', None, None, ), # 4 (5, TType.STRING, 'tweetString', None, None, ), # 5 ) def __init__(self, tweetId=None, handle=None, posted=None, numStars=None, tweetString=None,): self.tweetId = tweetId self.handle = handle self.posted = posted self.numStars = numStars self.tweetString = tweetString def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I64: self.tweetId = iprot.readI64(); else: iprot.skip(ftype) elif fid == 2: if ftype == TType.STRING: self.handle = iprot.readString(); else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I64: self.posted = iprot.readI64(); else: iprot.skip(ftype) elif fid == 4: if ftype == TType.I32: self.numStars = iprot.readI32(); else: iprot.skip(ftype) elif fid == 5: if ftype == TType.STRING: self.tweetString = iprot.readString(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('Tweet') if self.tweetId is not None: oprot.writeFieldBegin('tweetId', TType.I64, 1) oprot.writeI64(self.tweetId) oprot.writeFieldEnd() if self.handle is not None: oprot.writeFieldBegin('handle', TType.STRING, 2) oprot.writeString(self.handle) oprot.writeFieldEnd() if self.posted is not None: oprot.writeFieldBegin('posted', TType.I64, 3) oprot.writeI64(self.posted) oprot.writeFieldEnd() if self.numStars is not None: oprot.writeFieldBegin('numStars', TType.I32, 4) oprot.writeI32(self.numStars) oprot.writeFieldEnd() if self.tweetString is not None: oprot.writeFieldBegin('tweetString', TType.STRING, 5) oprot.writeString(self.tweetString) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class AlreadyExistsException(TException): """ Attributes: - user """ thrift_spec = ( None, # 0 (1, TType.STRING, 'user', None, None, ), # 1 ) def __init__(self, user=None,): self.user = user def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.user = iprot.readString(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('AlreadyExistsException') if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 1) oprot.writeString(self.user) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __str__(self): return repr(self) def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class NoSuchUserException(TException): """ Attributes: - user """ thrift_spec = ( None, # 0 (1, TType.STRING, 'user', None, None, ), # 1 ) def __init__(self, user=None,): self.user = user def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.STRING: self.user = iprot.readString(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('NoSuchUserException') if self.user is not None: oprot.writeFieldBegin('user', TType.STRING, 1) oprot.writeString(self.user) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __str__(self): return repr(self) def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class TweetTooLongException(TException): thrift_spec = ( ) def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('TweetTooLongException') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __str__(self): return repr(self) def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class NoSuchTweetException(TException): thrift_spec = ( ) def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('NoSuchTweetException') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __str__(self): return repr(self) def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)

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null

0

1

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1

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null

0

8

793a89402e7ef1e5ab1cd6a85bcd8f878e764b5e

132

py

Python

run.py

JonathanRys/better_lesson_code_test

aaa9d16f2ddb6ad0aacaa3ef6df9f36f14e3aa51

[ "MIT" ]

null

run.py

JonathanRys/better_lesson_code_test

aaa9d16f2ddb6ad0aacaa3ef6df9f36f14e3aa51

[ "MIT" ]

null

run.py

JonathanRys/better_lesson_code_test

aaa9d16f2ddb6ad0aacaa3ef6df9f36f14e3aa51

[ "MIT" ]

null

#!/usr/bin/env python from better_lesson_code_test.better_lesson_code_test import run_app if __name__ == '__main__': run_app()

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132

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null

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1

0

1

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7

f707a796c39cbd67c8af787b6b9a266f5e4f040b

2,578

py

Python

tests/test_validator_create.py

VariantEffect/fqfa

f99e96009a05a24ca6aabbf9e04d3cf87fe00cb4

[ "BSD-3-Clause" ]

2

2019-12-24T06:53:57.000Z

2020-01-15T21:06:24.000Z

tests/test_validator_create.py

VariantEffect/fqfa

f99e96009a05a24ca6aabbf9e04d3cf87fe00cb4

[ "BSD-3-Clause" ]

3

2020-01-23T03:34:47.000Z

2020-02-20T10:22:23.000Z

tests/test_validator_create.py

VariantEffect/fqfa

f99e96009a05a24ca6aabbf9e04d3cf87fe00cb4

[ "BSD-3-Clause" ]

2

2020-02-11T23:39:11.000Z

2020-03-28T22:00:24.000Z

import unittest from fqfa.validator.create import create_validator class TestCreateValidator(unittest.TestCase): def test_create_from_string(self) -> None: # case sensitive validator = create_validator("ACGT") # test valid strings self.assertIsNotNone(validator("ACGT")) self.assertIsNotNone(validator("AAAAAAA")) # test invalid strings self.assertIsNone(validator("acgt")) self.assertIsNone(validator("AAAAAAa")) self.assertIsNone(validator("")) self.assertIsNone(validator("123")) self.assertIsNone(validator("AAAA AAA")) # case insensitive validator = create_validator("ACGT", case_sensitive=False) # test valid strings self.assertIsNotNone(validator("ACGT")) self.assertIsNotNone(validator("AAAAAAA")) self.assertIsNotNone(validator("acgt")) self.assertIsNotNone(validator("AAAAAAa")) # test invalid strings self.assertIsNone(validator("")) self.assertIsNone(validator("123")) self.assertIsNone(validator("AAAA AAA")) def test_create_from_list(self) -> None: # case sensitive validator = create_validator(list("ACGT")) # test valid strings self.assertIsNotNone(validator("ACGT")) self.assertIsNotNone(validator("AAAAAAA")) # test invalid strings self.assertIsNone(validator("acgt")) self.assertIsNone(validator("AAAAAAa")) self.assertIsNone(validator("")) self.assertIsNone(validator("123")) self.assertIsNone(validator("AAAA AAA")) # case insensitive validator = create_validator(list("ACGT"), case_sensitive=False) # test valid strings self.assertIsNotNone(validator("ACGT")) self.assertIsNotNone(validator("AAAAAAA")) self.assertIsNotNone(validator("acgt")) self.assertIsNotNone(validator("AAAAAAa")) # test invalid strings self.assertIsNone(validator("")) self.assertIsNone(validator("123")) self.assertIsNone(validator("AAAA AAA")) # invalid list arguments self.assertRaises(ValueError, create_validator, ["A", "C", "GT"]) self.assertRaises( ValueError, create_validator, ["A", "C", "GT"], case_sensitive=False ) self.assertRaises(ValueError, create_validator, ["A", "C", ""]) self.assertRaises( ValueError, create_validator, ["A", "C", ""], case_sensitive=False ) if __name__ == "__main__": unittest.main()

33.051282

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0.233514

2,578

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0.815789

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false

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0

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0

1

0

null

0

1

0

7

f748f37d68d2e11bb2e0ff359cd1df4633cf0d23

51,569

py

Python

src/rsc_rc.py

mjbonnington/uistyle

f2102e408a9ba6aa7cc7f37ec3f4a4d3bf134b10

[ "MIT" ]

null

src/rsc_rc.py

mjbonnington/uistyle

f2102e408a9ba6aa7cc7f37ec3f4a4d3bf134b10

[ "MIT" ]

null

src/rsc_rc.py

mjbonnington/uistyle

f2102e408a9ba6aa7cc7f37ec3f4a4d3bf134b10

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.9.1) # # WARNING! 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1

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null

1

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10

e3dd44107817c1fc85039ce386c8248d25a39aca

36,726

py

Python

main.py

Holly-Jiang/QCTSA

b90136b9df18fc21ae53b431f1e5e0c6ef786fae

[ "MIT" ]

null

main.py

Holly-Jiang/QCTSA

b90136b9df18fc21ae53b431f1e5e0c6ef786fae

[ "MIT" ]

null

main.py

Holly-Jiang/QCTSA

b90136b9df18fc21ae53b431f1e5e0c6ef786fae

[ "MIT" ]

null

# This is a sample Python script. # Press Shift+F10 to execute it or replace it with your code. # Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings. import math import os,sys # Press the green button in the gutter to run the script. def read_tabu_files(path): if path=='': print('the path \'%s\' is not exist'%path) map=dict() f = open(path, "r") while True: str = f.readline().strip() line = f.readline().strip() if not line: break if line.__eq__(''): break list1=list() arr=line.split(' ') for i in range(len(arr)): if i > 0: list1.append(float(arr[i])) else: list1.append(arr[i]) map['%s'%str]=list1 return map def read_tabu_files1(path): if path=='': print('the path \'%s\' is not exist'%path) map=dict() f = open(path, "r") while True: str = f.readline().strip() line = f.readline().strip() if not line: break if line.__eq__(''): break list1=list() arr=line.split(' ') for i in range(len(arr)): list1.append(float(arr[i])) map['%s'%str]=list1 return map def read_sabre_files(path): map=dict() f = open(path, "r") res=list() while True: str = f.readline().strip() line = f.readline().strip() if not line: break if line.__eq__(''): break list1=list() arr=line.split(' ') list1.append(float(arr[0])) list1.append(float(arr[1])) list1.append(float(arr[2])) map[str] = list1 return map def readOptm(path): map=dict() f = open(path, "r") res=list() key='' while True: line = f.readline().strip() if not line: break if line.__eq__(''): break list1=list() arr=line.split(' ') if len(arr)==4: list1.append(float(arr[0])) list1.append(float(arr[1])) list1.append(float(arr[2])) list1.append(float(arr[3])) res.append(list1) elif len(arr)==5: list1.append(float(arr[0])) list1.append(float(arr[1])) list1.append(float(arr[2])) list1.append(float(arr[3])) list1.append(float(arr[4])) res.append(list1) else: if (res != None and len(res) > 0): map[key]= res res=list() key = line return map def read_topgraph_files(path): if path=='': print('the path \'%s\' is not exist'%path) map=dict() f = open(path, "r") while True: str = f.readline().strip() line = f.readline().strip() if not line: break if line.__eq__(''): break list1=list() arr=line.split(' ') if not float(arr[0]).__eq__(9999999): list1.append(float(arr[0])) list1.append(float(arr[1])) map['%s'%str]=list1 return map def selectTheBestResultFromFiles(path): files = os.listdir(path) mingatesum=999999999 mingatename='' for file in files: map = read_tabu_files('%s/%s'%(path,file)) gatesum = 0 it1 = map.keys() # if len(it1)!=159: # continue for k1 in it1: gatesum += map.get(k1)[5] if gatesum < mingatesum: mingatesum = gatesum mingatename=file # print('%s %s %s %f'%(file,file[30:],file[19:23], math.log(gatesum,10))) print('%s %d'%(file, gatesum)) print("the minimal file is [[%s]], consisting of [[%d]] gates. "%(mingatename,mingatesum)) def selectTheMinimalDepthFromFiles(path,name,exam): po = open(name, "w") files = os.listdir(path) res=dict() mapu=read_tabu_files(exam) it=mapu.keys() gatesum = 0 print('[Minimal mapping index] [Number of 2-qubit gates of the initial circuit] [Depth of the generated circuit] \n[Number of SWAP inserted] [Number of look-ahead layers] [Attenuation factor] [Runtime] ') for k in it: res['%s'%k]=mapu.get(k) for file in files: map = read_tabu_files('%s/%s' % (path, file)) it1 = map.keys() for k1 in it1: if k1.__eq__(k): if res['%s'%k][4]>map.get(k1)[4]: res['%s' % k]=map.get(k1) break if res['%s' % k][4]!=999999999: gatesum += res['%s' % k][4] key = '%s' % k print(key) po.write('%s\n' % k) for i in range(len(res[key])): # print(res[key][i],end=' ') if i != 0 and i != 6 and i != 7: print('%s ' % res[key][i], end=' ') po.write('%s ' % res[key][i]) print() po.write('\n') po.flush() po.close() print("the minimal file [[%s]], depth: %d " %(name,gatesum)) def selectTheMinimalGatesFromFiles(path,name,exam): po = open(name, "w") files = os.listdir(path) res=dict() mapu=read_tabu_files(exam) it=mapu.keys() gatesum = 0 print('[Minimal mapping index] [Number of gates of the initial circuit] [Depth of the generated circuit] \n[Number of SWAP inserted] [Runtime] ') for k in it: res['%s'%k]=mapu.get(k) for file in files: map = read_tabu_files('%s/%s' % (path, file)) it1 = map.keys() for k1 in it1: if k1.__eq__(k): if res['%s'%k][5]>map.get(k1)[5]: res['%s' % k]=map.get(k1) break if res['%s' % k][5] != 999999999: gatesum += res['%s' % k][5] key = '%s' % k print(key) po.write('%s\n' % k) for i in range(len(res[key])): # print('9999999 ', end=' ') if i != 0 and i != 6 and i != 7: print('%s ' % res[key][i], end=' ') po.write('%s ' % res[key][i]) print() po.write('\n') po.flush() po.close() print("the minimal file [[%s]] consists of %d gates " %(name,gatesum)) #mini ./results/qct/ ./results/test/tsa1 def caculateTheAdjustTSA(): print('_________________________comparison of <*_TSA_num>______________________') fcca = "./results/data/tsa/fidsl_tsa" fidslcca = read_tabu_files1(fcca) tcca = "./results/data/tsa/tsa" tsacca = read_tabu_files1(tcca) occa = "./results/data/tsa/ga_tsa" optmcca = read_tabu_files1(occa) sabrestr = "./results/data/tsa/sabre_tsa" sabremap = read_tabu_files1(sabrestr) names=list() it = tsacca.keys() for k in it: if fidslcca.get(k) ==None: names.append(k) elif optmcca.get(k) == None: names.append(k) elif sabremap.get(k) == None: names.append(k) for i in range(len(names)): del tsacca[names[i]] tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsacca.keys() for k in it: tsagate += tsacca.get(k)[4] * 3 fidsltsa = fidslcca.get(k) fidslgate += fidsltsa[4] * 3 optm = optmcca.get(k) ori += tsacca.get(k)[1] optmgate += optm[4] * 3 sab = sabremap.get(k) sabregate += sab[4] * 3 print("number of case:" , len(tsacca), "ORI: " , ori , "SABRE: " , sabregate , "TSA_num: " , tsagate , "GA: " , optmgate , "FiDSL: " , fidslgate) print("GA: " , (optmgate - tsagate + 0.0) / optmgate) print("SABRE: " , (sabregate - tsagate + 0.0) / sabregate) print("FiDSL: " , (fidslgate - tsagate + 0.0) / fidslgate) def caculateTheAdjustCCA(): print('_________________________comparison of <*_TSA_cca>______________________') fcca = "./results/data/cca/fidsl_cca" fidslcca = read_tabu_files(fcca) tcca = "./results/data/cca/tsa_cca" tsacca = read_tabu_files(tcca) occa = "./results/data/cca/ga_cca" optmcca = read_tabu_files(occa) sabrestr = "./results/data/cca/sabre_cca" sabremap = read_tabu_files(sabrestr) names = list() it = tsacca.keys() for k in it: if fidslcca.get(k) == None: names.append(k) elif optmcca.get(k) == None: names.append(k) elif sabremap.get(k) == None: names.append(k) for i in range(len(names)): del tsacca[names[i]] tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsacca.keys() for k in it: tsagate += tsacca.get(k)[4] * 3 fidsltsa = fidslcca.get(k) fidslgate += fidsltsa[4] * 3 optm = optmcca.get(k) ori += tsacca.get(k)[1] optmgate += optm[4] * 3 sab = sabremap.get(k) sabregate += sab[4] * 3 print("number of case: ", len(tsacca), "ORI: ", ori,", GA: ", optmgate, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_cca: ", tsagate) print("(GA-TSA_cca)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_cca)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_cca)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) def caculateTheAdjustOptm(): print('_________________________comparison of <*_GA>______________________') sabreoptm = "./results/data/optm/sabre_optm" sabremap = read_sabre_files(sabreoptm) optmStr = "./results/data/optm/total_A_ini_connect" optmmap = readOptm(optmStr) optmStr1 = "./results/data/optm/GA_num" optmmap1 = readOptm(optmStr1) tsamap = read_tabu_files1("./results/data/tsa/tsa") tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 count = 0 sabregate = 0 it = tsamap.keys() for k in it: optm = optmmap.get(k) optm1 = optmmap1.get(k) if optm[2][3] != 9999999 and optm[3][3] != 9999999 and optm1[1][3] != 9999999 and sabremap.get(k)[ 1] != 9999999: count += 1 ori += tsamap.get(k)[1] tsagate += optm[3][3] * 3 fidslgate += optm[2][3] * 3 optmgate += optm1[1][3] * 3 sabregate += sabremap.get(k)[2] * 3 print("number of case: ", count, "ORI: ", ori,", GA: ", optmgate, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_num: ", tsagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) def caculateTheAdjustFiDSL(): print('_________________________comparison of <*_FiDSL>______________________') fcca = "./results/data/fidsl/fidsl" fidslcca = read_topgraph_files(fcca) tcca = "./results/data/fidsl/tsa_fidsl" tsacca = read_topgraph_files(tcca) occa = "./results/data/fidsl/optm_fidsl" optmcca = read_topgraph_files(occa) sabre = "./results/data/fidsl/sabre_fidsl" sabremap = read_topgraph_files(sabre) names = list() it = tsacca.keys() for k in it: if fidslcca.get(k) == None or fidslcca.get(k)[1]==9999999: names.append(k) elif optmcca.get(k) == None or optmcca.get(k)[1]==9999999: names.append(k) elif sabremap.get(k) == None or sabremap.get(k)[1]==9999999: names.append(k) for i in range(len(names)): del tsacca[names[i]] tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsacca.keys() for k in it: tsagate += tsacca.get(k)[1] * 3 fidsltsa = fidslcca.get(k) fidslgate += fidsltsa[1] * 3 optm = optmcca.get(k) ori += tsacca.get(k)[1] optmgate += optm[1] * 3 sab = sabremap.get(k) sabregate += sab[1] * 3 print("number of case: ", len(tsacca), "ORI: ", ", GA: ", optmgate, ori, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_num: ", tsagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) def caculateTheAdjustSABRE(): print('_________________________comparison of <*_SABRE>______________________') fcca = "./results/data/sabre/fidsl_sabre" fidslcca = read_sabre_files(fcca) tcca = "./results/data/sabre/tsa_sabre" tsacca = read_sabre_files(tcca) occa = "./results/data/sabre/optm_sabre" optmcca = read_sabre_files(occa) sabre = "./results/data/sabre/sabre" sabremap = read_sabre_files(sabre) names = list() it = tsacca.keys() for k in it: if fidslcca.get(k) == None or fidslcca.get(k)[1] == 9999999: names.append(k) elif optmcca.get(k) == None or optmcca.get(k)[1] == 9999999: names.append(k) elif sabremap.get(k) == None or sabremap.get(k)[1] == 9999999: names.append(k) for i in range(len(names)): del tsacca[names[i]] tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsacca.keys() for k in it: tsagate += tsacca.get(k)[1] fidsltsa = fidslcca.get(k) fidslgate += fidsltsa[1] optm = optmcca.get(k) ori += tsacca.get(k)[0] optmgate += optm[1] sab = sabremap.get(k) sabregate += sab[1] print("number of case: ", len(tsacca), "ORI: ", ori, ", GA: ", optmgate, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_num: ", tsagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) def caculateFiDSL_(): print('________________comparison of <FiDSL_*>__________________') topgraph = "./results/data/fidsl/fidsl" fidslmap = read_topgraph_files(topgraph) optmStr = "./results/data/optm/total_A_ini_connect" optmmap = readOptm(optmStr) # optmStr1 = "./results/data/optm/GA_num" # optm_result1 = readOptm(optmStr1) # optmStr = "./results/data/optm/sabre_optm" # optmmap = read_sabre_files(optmStr) sabrestr = "./results/data/sabre/fidsl_sabre" sabremap = read_sabre_files(sabrestr) count = 0 tsamap = read_tabu_files1("./results/data/tsa/fidsl_tsa") ccamap = read_tabu_files1("./results/data/cca/fidsl_cca") names = list() it = tsamap.keys() for k in it: if (optmmap.get(k) == None or optmmap.get(k)[2][3] == 9999999): names.append(k) if fidslmap.get(k) == None or fidslmap.get(k)[1]==9999999: names.append(k) # if optmmap.get(k) == None or optmmap.get(k)[1]==9999999: # names.append(k) if sabremap.get(k) == None or sabremap.get(k)[1]==9999999: names.append(k) for i in range(len(names)): if names[i] in tsamap.keys(): del tsamap[names[i]] ccagate = 0 tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsamap.keys() for k in it: tsagate += tsamap.get(k)[4] * 3 fidslgate += fidslmap.get(k)[1] * 3 ori += tsamap.get(k)[1] optmgate += optmmap.get(k)[2][3] * 3 ccagate += ccamap.get(k)[4] * 3 sabregate += sabremap.get(k)[1] print("number of case: ", len(tsamap), "GA: ", optmgate, "SABRE: ", sabregate, "FiDSL: ", fidslgate, "TSA_num: ", tsagate,", TSA_cca: ",ccagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) print("(TSA_cca-TSA_num)/TSA_cca: ",(ccagate-tsagate+0.0)/ccagate) def caculateTSA_(): print('________________comparison of <TSA_*>__________________') topgraph = "./results/data/fidsl/tsa_fidsl" fidslmap = read_topgraph_files(topgraph) optmStr = "./results/data/optm/total_A_ini_connect" optmmap = readOptm(optmStr) sabrestr = "./results/data/sabre/tsa_sabre" sabremap = read_sabre_files(sabrestr) tsamap = read_tabu_files1("./results/data/tsa/tsa") ccamap = read_tabu_files1("./results/data/cca/tsa_cca") names = list() it = tsamap.keys() for k in it: if (optmmap.get(k) == None or optmmap.get(k)[3][3] - 9999999==0): names.append(k) if fidslmap.get(k) == None or fidslmap.get(k)[1] - 9999999==0: names.append(k) if sabremap.get(k) == None or sabremap.get(k)[1]- 9999999==0: names.append(k) for i in range(len(names)): if names[i] in tsamap.keys(): del tsamap[names[i]] ccagate = 0 tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsamap.keys() for k in it: tsagate += tsamap.get(k)[4] * 3 fidslgate += fidslmap.get(k)[1] * 3 ori += tsamap.get(k)[1] optmgate += optmmap.get(k)[3][3] * 3 ccagate += ccamap.get(k)[4] * 3 sabregate += sabremap.get(k)[1] print("number of case: ", len(tsamap), "ori: ",ori,", GA: ", optmgate, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_num: ", tsagate,", TSA_cca: ",ccagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) print("(TSA_cca-TSA_num)/TSA_cca: ",(ccagate-tsagate+0.0)/ccagate) def caculateOptm_(): print('________________comparison of <GA_*>__________________') topgraph = "./results/data/fidsl/optm_fidsl" fidslmap = read_topgraph_files(topgraph) optmStr = "./results/data/optm/total_A_ini_connect" optmmap = readOptm(optmStr) sabrestr = "./results/data/sabre/optm_sabre" sabremap = read_sabre_files(sabrestr) tsamap = read_tabu_files1("./results/data/tsa/ga_tsa") ccamap = read_tabu_files1("./results/data/cca/ga_cca") names = list() it = tsamap.keys() for k in it: if (optmmap.get(k) == None or optmmap.get(k)[1][3] - 9999999==0): names.append(k) if fidslmap.get(k) == None or fidslmap.get(k)[1] - 9999999==0: names.append(k) if sabremap.get(k) == None or sabremap.get(k)[1]- 9999999==0: names.append(k) for i in range(len(names)): if names[i] in tsamap.keys(): del tsamap[names[i]] ccagate = 0 tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsamap.keys() for k in it: tsagate += tsamap.get(k)[4] * 3 fidslgate += fidslmap.get(k)[1] * 3 ori += tsamap.get(k)[1] optmgate += optmmap.get(k)[1][3] * 3 ccagate += ccamap.get(k)[4] * 3 sabregate += sabremap.get(k)[1] print("number of case: ", len(tsamap), "ori: ", ori, ", GA: ", optmgate, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_num: ", tsagate, ", TSA_cca: ", ccagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) print("(TSA_cca-TSA_num)/TSA_cca: ",(ccagate-tsagate+0.0)/ccagate) def caculateSABRE_(): print('________________comparison of <SABRE_*>__________________') topgraph = "./results/data/fidsl/sabre_fidsl" fidslmap = read_topgraph_files(topgraph) optmStr = "./results/data/optm/sabre_optm" optmmap = read_sabre_files(optmStr) sabrestr = "./results/data/sabre/sabre" sabremap = read_sabre_files(sabrestr) tsamap = read_tabu_files1("./results/data/tsa/sabre_tsa") ccamap = read_tabu_files1("./results/data/cca/sabre_cca") names = list() it = tsamap.keys() for k in it: if (optmmap.get(k) == None or optmmap.get(k)[2]- 9999999==0): names.append(k) if fidslmap.get(k) == None or fidslmap.get(k)[1] - 9999999==0: names.append(k) if sabremap.get(k) == None or sabremap.get(k)[1] -9999999==0: names.append(k) for i in range(len(names)): if names[i] in tsamap.keys(): del tsamap[names[i]] ccagate = 0 tsagate = 0 optmgate = 0 fidslgate = 0 ori = 0 sabregate = 0 it = tsamap.keys() for k in it: tsagate += tsamap.get(k)[4] * 3 fidslgate += fidslmap.get(k)[1] * 3 ori += tsamap.get(k)[1] optmgate += optmmap.get(k)[2] * 3 ccagate += ccamap.get(k)[4] * 3 sabregate += sabremap.get(k)[1] print("number of case: ", len(tsamap), "ori: ", ori, ", GA: ", optmgate, ", SABRE: ", sabregate, ", FiDSL: ", fidslgate, ", TSA_num: ", tsagate, ", TSA_cca: ", ccagate) print("(GA-TSA_num)/GA: ", (optmgate - tsagate + 0.0) / optmgate) print("(SABRE-TSA_num)/SABRE: ", (sabregate - tsagate + 0.0) / sabregate) print("(FiDSL-TSA_num)/FiDSL: ", (fidslgate - tsagate + 0.0) / fidslgate) print("(TSA_cca-TSA_num)/TSA_cca: ",(ccagate-tsagate+0.0)/ccagate) def compareSABRE_TSA(sabrepath,tsapath,type): sabremap = read_sabre_files(sabrepath) tsamap = read_tabu_files1(tsapath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 gate_gql_all = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 sabretime=0 tsatime=0 it=tsamap.keys() for k in it: v1list=tsamap.get(k) gate_gql_all += v1list[1] if type=='small': if v1list[1]>100: continue elif type=='medium': if v1list[1]<=100 or v1list[1]>1000: continue elif type=='large': if v1list[1]<=1000: continue if (sabremap.get(k) == None): continue # // 比较swap个数 v1 = v1list[4] * 3 v2 = sabremap.get(k)[1] pub_res += 1 gate_gql += v1 gate_top += v2 tsatime+=v1list[5] sabretime+=sabremap.get(k)[2] if v1 < v2: greater_gql_top +=1 pro_gql_top += v2 - v1 elif (v2 < v1) : # print(k) # print(v2 , " ", v1) greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful SABRE case：", len(sabremap), ", TSA case：", len(tsamap)) print("both successful case:", pub_res) print("number of gates inserted: SABRE：", gate_top ,", TSA：", gate_gql) print("number of case: SABRE < TSA： ", greater_top_gql, ", TSA < SABRE： ", greater_gql_top, ", equal： ", eq_gql_top) print("(SABRE-TSA)/SABRE：", (gate_top - gate_gql + 0.0) / gate_top * 100, "% ") print('TSA time: %s'%tsatime) def compareFiDSL_TSA(fidslpath,tsapath,type): fidslmap = read_topgraph_files(fidslpath) tsamap = read_tabu_files1(tsapath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 gate_gql_all = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 tsatime=0 it=tsamap.keys() for k in it: v1list=tsamap.get(k) if type=='small': if v1list[1]>100: continue elif type=='medium': if v1list[1]<=100 or v1list[1]>1000: continue elif type=='large': if v1list[1]<=1000: continue if (fidslmap.get(k) == None ): continue # // 比较swap个数 v1 = v1list[4]*3 tsatime+=v1list[5] v2 = fidslmap.get(k)[1]*3 pub_res += 1 gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top +=1 pro_gql_top += v2 - v1 elif (v2 < v1) : # print(k) # print(v2 , " ", v1) greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful FiDSL case：", len(fidslmap), ", TSA case：", len(tsamap)) print("both successful case:", pub_res) print("number of gates inserted: FiDSL：", gate_top, " TSA：", gate_gql) print("number of case: FiDSL < TSA： ", greater_top_gql, ", TSA < FiDSL： ", greater_gql_top, ", equal： ", eq_gql_top) print("(FiDSL-TSA)/FiDSL：", (gate_gql - gate_top + 0.0) / gate_gql * 100, "% ") print('TSA time: %s'%tsatime) def comparenumCCA_TSA(ccapath,tsapath,type='all'): ccamap = read_tabu_files1(ccapath) tsamap = read_tabu_files1(tsapath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 tsatime=0 ccatime=0 it=tsamap.keys() for k in it: v1list=tsamap.get(k) if type=='small': if v1list[1]>100: continue elif type=='medium': if v1list[1]<=100 or v1list[1]>1000: continue elif type=='large': if v1list[1]<=1000: continue if ccamap.get(k) == None: continue # // 比较swap个数 v1 = v1list[4]*3 v2 = ccamap.get(k)[4]*3 pub_res += 1 tsatime+=v1list[5] ccatime+=ccamap.get(k)[5] gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top +=1 pro_gql_top += v2 - v1 elif (v2 < v1) : greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful TSA_cca case：", len(ccamap), ", TSA_num case：", len(tsamap)) print("both successful case:", pub_res) print("number of gates inserted: TSA_cca：", gate_top, " TSA_num：", gate_gql) print("number of case: TSA_cca < TSA_num： ", greater_top_gql, ", TSA_num < TSA_cca： ", greater_gql_top, ", equal： ", eq_gql_top) print("(TSA_cca-TSA_num)/TSA_cca：", (gate_top - gate_gql + 0.0) / gate_top * 100, "% ") print('TSA time: %s, CCA time: %s' %(tsatime,ccatime)) def comparenumDepth_TSA(depthpath,tsapath): depthmap = read_tabu_files1(depthpath) tsamap = read_tabu_files1(tsapath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 it=tsamap.keys() for k in it: v1list=tsamap.get(k) if depthmap.get(k) == None: continue # // 比较swap个数 v1 = v1list[4]*3 v2 = depthmap.get(k)[4]*3 pub_res += 1 gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top +=1 pro_gql_top += v2 - v1 elif (v2 < v1) : greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful TSA_depth case：", len(depthmap), ", TSA_num case：", len(tsamap)) print("both successful case:", pub_res) print("number of gates inserted: TSA_depth：", gate_top, " TSA_num：", gate_gql) print("case: TSA_depth < TSA_num： ", greater_top_gql, ", TSA_num < TSA_depth： ", greater_gql_top, ", equal： ", eq_gql_top) print("(TSA_depth-TSA_num)/TSA_depth：", (gate_top - gate_gql + 0.0) / gate_top * 100, "% ") def comparenumCCA_Depth(ccapath,depthpath): ccamap = read_tabu_files1(ccapath) depthmap = read_tabu_files1(depthpath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 it=depthmap.keys() for k in it: v1list=depthmap.get(k) if ccamap.get(k) == None: continue # // 比较swap个数 v1 = v1list[4]*3 v2 = ccamap.get(k)[4]*3 pub_res += 1 gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top +=1 pro_gql_top += v2 - v1 elif (v2 < v1) : greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful TSA_cca case：", len(ccamap), " TSA_depth case：", len(depthmap)) print("both successful case:", pub_res) print("number of gates inserted: TSA_cca：", gate_top, " TSA_depth：", gate_gql) print("case: TSA_cca < TSA_depth： ", greater_top_gql, ", TSA_depth < TSA_cca： ", greater_gql_top, ", equal： ", eq_gql_top) print("(TSA_depth-TSA_cca)/TSA_depth：", (gate_gql - gate_top + 0.0) / gate_gql * 100, "% ") def comparedepthCCA_TSA(ccapath, tsapath, type='all'): ccamap = read_tabu_files1(ccapath) tsamap = read_tabu_files1(tsapath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 tsatime = 0 ccatime = 0 it = tsamap.keys() for k in it: v1list = tsamap.get(k) if type == 'small': if v1list[1] > 100: continue elif type == 'medium': if v1list[1] <= 100 or v1list[1] > 1000: continue elif type == 'large': if v1list[1] <= 1000: continue if ccamap.get(k) == None: continue # // 比较swap个数 v1 = v1list[3] v2 = ccamap.get(k)[3] pub_res += 1 tsatime += v1list[5] ccatime += ccamap.get(k)[5] gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top += 1 pro_gql_top += v2 - v1 elif (v2 < v1): greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful TSA_cca case：", len(ccamap), ", TSA_num case：", len(tsamap)) print("both successful case:", pub_res) print("depth of gates inserted: TSA_cca：", gate_top, " TSA_num：", gate_gql) print("number of case: TSA_cca < TSA_num： ", greater_top_gql, ", TSA_num < TSA_cca： ", greater_gql_top, ", equal： ", eq_gql_top) print("(TSA_cca-TSA_num)/TSA_cca：", (gate_top - gate_gql + 0.0) / gate_top * 100, "% ") print('TSA time: %s, CCA time: %s' % (tsatime, ccatime)) def comparedepthDepth_TSA(depthpath, tsapath): depthmap = read_tabu_files1(depthpath) tsamap = read_tabu_files1(tsapath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 it = tsamap.keys() for k in it: v1list = tsamap.get(k) if depthmap.get(k) == None: continue # // 比较swap个数 v1 = v1list[3] v2 = depthmap.get(k)[3] pub_res += 1 gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top += 1 pro_gql_top += v2 - v1 elif (v2 < v1): greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful TSA_depth case：", len(depthmap), ", TSA_num case：", len(tsamap)) print("both successful case:", pub_res) print("depth of gates inserted: TSA_depth：", gate_top, " TSA_num：", gate_gql) print("case: TSA_depth < TSA_num： ", greater_top_gql, ", TSA_num < TSA_depth： ", greater_gql_top, ", equal： ", eq_gql_top) print("(TSA_depth-TSA_num)/TSA_depth：", (gate_top - gate_gql + 0.0) / gate_top * 100, "% ") def comparedepthCCA_Depth(ccapath, depthpath): ccamap = read_tabu_files1(ccapath) depthmap = read_tabu_files1(depthpath) greater_top_gql = 0 greater_gql_top = 0 eq_gql_top = 0 gate_top = 0 gate_gql = 0 pub_res = 0 pro_top_gql = 0 pro_gql_top = 0 it = depthmap.keys() for k in it: v1list = depthmap.get(k) if ccamap.get(k) == None: continue # // 比较swap个数 v1 = v1list[3] v2 = ccamap.get(k)[3] pub_res += 1 gate_gql += v1 gate_top += v2 if v1 < v2: greater_gql_top += 1 pro_gql_top += v2 - v1 elif (v2 < v1): greater_top_gql += 1 pro_top_gql += v1 - v2 else: eq_gql_top += 1 print("number of successful TSA_cca case：", len(ccamap), " TSA_depth case：", len(depthmap)) print("both successful case:", pub_res) print("depth of gates inserted: TSA_cca：", gate_top, " TSA_depth：", gate_gql) print("case: TSA_cca < TSA_depth： ", greater_top_gql, ", TSA_depth < TSA_cca： ", greater_gql_top, ", equal： ", eq_gql_top) print("(TSA_depth-TSA_cca)/TSA_depth：", (gate_gql - gate_top + 0.0) / gate_gql * 100, "% ") def compareGA_TSA(gamap,tsamap): tsagate = 0 optmgate = 0 ori = 0 count = 0 tsagreat=0 optmgreat=0 eq=0 it = tsamap.keys() for k in it: optm = gamap.get(k) if optm!=None and optm[1][3]!= 9999999: count += 1 ori += tsamap.get(k)[1] tsagate += tsamap.get(k)[4] * 3 optmgate += optm[1][3] * 3 if tsamap.get(k)[4]<optm[1][3]: tsagreat+=1 elif tsamap.get(k)[4]>optm[1][3]: optmgreat+=1 else: eq+=1 print("number of successful FiDSL case：", len(gamap), ", TSA case：", len(tsamap)) print("both successful case:", count) print("case: GA < TSA： ", optmgreat + ", TSA < GA： ", tsagreat + ", equal： ", eq) print("ORI: ", ori, " number of gates inserted: TSA_num: ", tsagate, "GA: ", optmgate) print("(GA-TSA_num)/GA: ", (tsagate-optmgate + 0.0) / optmgate) #evaldepth ./results/test/tsa_ccamindepth ./results/test/tsa_depthmindepth ./results/test/tsamindepth if __name__ == '__main__': if sys.argv[1].__eq__('best'): if sys.argv[2]!='': selectTheBestResultFromFiles(sys.argv[2]) else: print('please input the correct parameters') elif sys.argv[1].__eq__('minigate'): if sys.argv[2]!='' and sys.argv[3]!='' and sys.argv[4]!='': selectTheMinimalGatesFromFiles(sys.argv[2],sys.argv[3],sys.argv[4]) else: print('please input the correct parameters') elif sys.argv[1].__eq__('minidepth'): if sys.argv[2]!='' and sys.argv[3]!='' and sys.argv[4]!='': selectTheMinimalDepthFromFiles(sys.argv[2],sys.argv[3],sys.argv[4]) else: print('please input the correct parameters') elif sys.argv[1].__eq__('ini'): caculateTheAdjustOptm() caculateTheAdjustSABRE() caculateTheAdjustFiDSL() caculateTheAdjustTSA() caculateTheAdjustCCA() elif sys.argv[1].__eq__('adj'): caculateOptm_() caculateSABRE_() caculateFiDSL_() caculateTSA_() elif sys.argv[1].__eq__('pairwise'): #paiwise type sabre fidsl tsa cca print("--------------------SABRE VS TSA_num--------------------") compareSABRE_TSA(sys.argv[3], sys.argv[5], sys.argv[2]) print("--------------------FiDSL VS TSA_num--------------------") compareFiDSL_TSA(sys.argv[4], sys.argv[5], sys.argv[2]) print("--------------------TSA_cca VS TSA_num--------------------") comparenumCCA_TSA(sys.argv[6], sys.argv[5], sys.argv[2]) elif sys.argv[1].__eq__('evalnum'): # eval cca depth tsa print("--------------------TSA_cca VS TSA_num--------------------") comparenumCCA_TSA(sys.argv[2], sys.argv[4]) print("--------------------TSA_depth VS TSA_num--------------------") comparenumDepth_TSA(sys.argv[3], sys.argv[4]) print("--------------------TSA_cca VS TSA_depth--------------------") comparenumCCA_Depth(sys.argv[2], sys.argv[3]) elif sys.argv[1].__eq__('evaldepth'): # eval cca depth tsa print("--------------------TSA_cca VS TSA_num--------------------") comparedepthCCA_TSA(sys.argv[2], sys.argv[4]) print("--------------------TSA_depth VS TSA_num--------------------") comparedepthDepth_TSA(sys.argv[3], sys.argv[4]) print("--------------------TSA_cca VS TSA_depth--------------------") comparedepthCCA_Depth(sys.argv[2], sys.argv[3]) else: print('please input the correct parameters')

35.484058

209

0.552442

4,845

36,726

3.962436

0.052632

0.026461

0.010157

0.011668

0.829826

0.781436

0.777581

0.754506

0.725649

0.705126

0

0.039954

0.291238

36,726

1,035

210

35.484058

0.69758

0.027147

0

0.744548

0

0.002077

0.172255

0.078886

0

1

0.026999

false

0

0.002077

0

0.034268

0.130841

0

null

0

1

0

1

0

null

0

7

540ddce64801df803e11924e0f69af88ff491ad0

59

py

Python

utime/preprocessing/dataset_preparation/sleep_edf_153/__init__.py

aluquecerp/U-Time

c792259825b57e49544684ce2997f3ac8db84c6e

[ "MIT" ]

1

2022-03-15T12:31:30.000Z

utime/preprocessing/dataset_preparation/sleep_edf_153/__init__.py

amiyapatanaik/U-Time

a9ed4892da77d165a71dbfef1d069d782c909757

[ "MIT" ]

null

utime/preprocessing/dataset_preparation/sleep_edf_153/__init__.py

amiyapatanaik/U-Time

a9ed4892da77d165a71dbfef1d069d782c909757

[ "MIT" ]

null

from .download_sleep_edf_153 import download_sleep_edf_153

29.5

58

0.915254

10

59

4.8

0.6

0.541667

0.666667

0.791667

0

0.109091

0.067797

59

1

59

0.763636

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

5888becc6b64300475ef8ccac6c4560d44a0855a

83

py

Python

notebook/pass_with_open.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

174

2018-05-30T21:14:50.000Z

2022-03-25T07:59:37.000Z

notebook/pass_with_open.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

5

2019-08-10T03:22:02.000Z

2021-07-12T20:31:17.000Z

notebook/pass_with_open.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

53

2018-04-27T05:26:35.000Z

2022-03-25T07:59:37.000Z

with open('temp/empty.txt', 'w'): pass with open('temp/empty.txt', 'w'): pass

16.6

38

0.60241

14

83

3.571429

0.5

0.32

0.48

0.68

1

0

0.156627

83

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39

20.75

0.714286

0

0.361446

0

1

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true

0.666667

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null

1

0

1

0

null

0

1

0

10

545d7b111f1ab15bb8b92eb6cfc0c652840bdc29

3,612

py

Python

tests/view/core/test_stylesheet.py

IonTeLOS/wasf

2e77dd65afffbbf1545e9ced2296dcbd0ab3c8e4

[ "Zlib" ]

null

tests/view/core/test_stylesheet.py

IonTeLOS/wasf

2e77dd65afffbbf1545e9ced2296dcbd0ab3c8e4

[ "Zlib" ]

null

tests/view/core/test_stylesheet.py

IonTeLOS/wasf

2e77dd65afffbbf1545e9ced2296dcbd0ab3c8e4

[ "Zlib" ]

null

from unittest import TestCase from waffles import stylesheet class StylesheetTest(TestCase): def test__process_var_of_vars__it_should_remove_vars_pointing_to_themselves(self): var_map = { 'abc': 'aaa', 'xxx': '@xxx' } stylesheet.process_var_of_vars(var_map) self.assertEqual(1, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) def test__process_var_of_vars__it_should_remove_vars_pointing_to_unknown_vars(self): var_map = { 'abc': 'aaa', 'xxx': '@def' } stylesheet.process_var_of_vars(var_map) self.assertEqual(1, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) def test__process_var_of_vars__it_should_not_replace_invalid_expressions(self): var_map = { 'abc': 'aaa', 'bcd': '@ xpto' # has a space between @ and 'xpto' } self.assertEqual(2, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) self.assertIn('bcd', var_map) self.assertEqual('@ xpto', var_map['bcd']) def test__process_var_of_vars__it_should_replace_value_at_first_iteration(self): var_map = { 'abc': 'aaa', 'xxx': '@abc' } stylesheet.process_var_of_vars(var_map) self.assertEqual(2, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) self.assertIn('xxx', var_map) self.assertEqual('aaa', var_map['xxx']) def test__process_var_of_vars__it_should_replace_value_at_second_iteration(self): var_map = { 'abc': 'aaa', 'def': '@abc', 'xxx': '@def' } stylesheet.process_var_of_vars(var_map) self.assertEqual(3, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) self.assertIn('def', var_map) self.assertEqual('aaa', var_map['def']) self.assertIn('xxx', var_map) self.assertEqual('aaa', var_map['xxx']) def test__process_var_of_vars__it_should_replace_value_at_third_iteration(self): var_map = { 'abc': 'aaa', 'def': '@abc', 'fgh': '@def', 'xxx': '@fgh' } stylesheet.process_var_of_vars(var_map) self.assertEqual(4, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) self.assertIn('def', var_map) self.assertEqual('aaa', var_map['def']) self.assertIn('fgh', var_map) self.assertEqual('aaa', var_map['fgh']) self.assertIn('xxx', var_map) self.assertEqual('aaa', var_map['xxx']) def test__process_var_of_vars__it_should_replace_multiple_vars(self): var_map = { 'abc': 'aaa', 'def': '@abc', 'fgh': 'bbb', 'ijk': '@fgh', 'lmn': '@ijk' } stylesheet.process_var_of_vars(var_map) self.assertEqual(5, len(var_map)) self.assertIn('abc', var_map) self.assertEqual('aaa', var_map['abc']) self.assertIn('def', var_map) self.assertEqual('aaa', var_map['def']) self.assertIn('fgh', var_map) self.assertEqual('bbb', var_map['fgh']) self.assertIn('ijk', var_map) self.assertEqual('bbb', var_map['ijk']) self.assertIn('lmn', var_map) self.assertEqual('bbb', var_map['lmn'])

30.871795

88

0.581118

449

3,612

4.311804

0.124722

0.173554

0.160124

0.260331

0.858988

0.841426

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0.717975

0.652893

0

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0.274086

3,612

116

89

31.137931

0.735698

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0

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1

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false

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0

null

0

1

0

null

0

1

0

8

548f91b27b5815858e9a71ef7d931e623f0525e7

505

py

Python

utils/board.py

Mordrog/pyarcanoid

0f5ef282edd2557e32bc4fc0aadd8c53ac825a33

[ "MIT" ]

null

utils/board.py

Mordrog/pyarcanoid

0f5ef282edd2557e32bc4fc0aadd8c53ac825a33

[ "MIT" ]

null

utils/board.py

Mordrog/pyarcanoid

0f5ef282edd2557e32bc4fc0aadd8c53ac825a33

[ "MIT" ]

null

import settings def board_left(): return settings.BOARD_POSITION[0] def board_right(): return settings.BOARD_POSITION[0] + settings.BOARD_WIDTH def board_top(): return settings.BOARD_POSITION[1] def board_bottom(): return settings.BOARD_POSITION[1] + settings.BOARD_HEIGHT def board_center_x(): return (settings.BOARD_POSITION[0] + settings.BOARD_WIDTH) / 2 def board_center_y(): return (settings.BOARD_POSITION[1] + settings.BOARD_HEIGHT) / 2

19.423077

68

0.70495

66

505

5.121212

0.272727

0.384615

0.337278

0.47929

0.715976

0.550296

0

0.019704

0.19604

505

25

69

20.2

0.812808

0

1

0.461538

true

0

0.076923

0.461538

1

0

null

1

0

null

0

1

0

1

0

7

549c70e039532c8fe60d4bc6e168cc5ba6c45647

99,568

bzl

Python

third_party/xnnpack.buck.bzl

stungkit/pytorch

0f05e398705bf15406bce79f7ee57d3935ad2abd

[ "Intel" ]

null

third_party/xnnpack.buck.bzl

stungkit/pytorch

0f05e398705bf15406bce79f7ee57d3935ad2abd

[ "Intel" ]

1

2022-01-10T18:39:28.000Z

2022-01-10T19:15:57.000Z

third_party/xnnpack.buck.bzl

stungkit/pytorch

0f05e398705bf15406bce79f7ee57d3935ad2abd

[ "Intel" ]

1

2022-03-26T14:42:50.000Z

load("//tools/build_defs:glob_defs.bzl", "subdir_glob") def define_xnnpack(): cxx_library( name = "XNNPACK", srcs = ["XNNPACK/src/allocator.c", "XNNPACK/src/init.c", "XNNPACK/src/memory-planner.c", "XNNPACK/src/operator-delete.c", "XNNPACK/src/runtime.c", "XNNPACK/src/subgraph.c", "XNNPACK/src/tensor.c", "XNNPACK/src/datatype-strings.c", "XNNPACK/src/operator-strings.c", "XNNPACK/src/subgraph-strings.c"], deps = [":operators", ":subgraph", ":tables", ":ukernels_scalar", "//third_party:cpuinfo", "//third_party:pthreadpool", "//third_party:pthreadpool_header", ":arm_lib", ":x86_and_x86_64_lib"], exported_deps = [], compiler_flags = ["-w"], preferred_linkage = "static", exported_headers = {"xnnpack.h": "XNNPACK/include/xnnpack.h"}, exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0", "-DXNN_NO_Q8_OPERATORS", "-DXNN_NO_F16_OPERATORS", "-DXNN_NO_NCHW_OPERATORS", "-DXNN_NO_QU8_OPERATORS", "-DXNN_NO_S8_OPERATORS", "-DXNN_NO_U8_OPERATORS", "-DXNN_NO_VCVT_OPERATORS", "-DXNN_NO_X32_OPERATORS", "-DXNN_NO_X8_OPERATORS", "-DXNN_NO_XX_OPERATORS"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_scalar", srcs = ["XNNPACK/wrappers/params-init.c", "XNNPACK/wrappers/u8-lut32norm/scalar.c", "XNNPACK/wrappers/xx-copy/memcpy.c", "XNNPACK/wrappers/x8-lut/gen/lut-scalar-x4.c", "XNNPACK/wrappers/x32-depthtospace2d-chw2hwc/scalar.c"], deps = [":interface", "//third_party:FP16", "//third_party:FXdiv"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "operators", srcs = ["XNNPACK/src/operators/argmax-pooling-nhwc.c", "XNNPACK/src/operators/average-pooling-nhwc.c", "XNNPACK/src/operators/binary-elementwise-nd.c", "XNNPACK/src/operators/channel-shuffle-nc.c", "XNNPACK/src/operators/constant-pad-nd.c", "XNNPACK/src/operators/convolution-nchw.c", "XNNPACK/src/operators/convolution-nhwc.c", "XNNPACK/src/operators/deconvolution-nhwc.c", "XNNPACK/src/operators/depth-to-space-nchw2nhwc.c", "XNNPACK/src/operators/depth-to-space-nhwc.c", "XNNPACK/src/operators/fully-connected-nc.c", "XNNPACK/src/operators/global-average-pooling-ncw.c", "XNNPACK/src/operators/global-average-pooling-nwc.c", "XNNPACK/src/operators/lut-elementwise-nc.c", "XNNPACK/src/operators/max-pooling-nhwc.c", "XNNPACK/src/operators/prelu-nc.c", "XNNPACK/src/operators/resize-bilinear-nchw.c", "XNNPACK/src/operators/resize-bilinear-nhwc.c", "XNNPACK/src/operators/softmax-nc.c", "XNNPACK/src/operators/unary-elementwise-nc.c", "XNNPACK/src/operators/unpooling-nhwc.c", "XNNPACK/src/indirection.c", "XNNPACK/src/operator-run.c", "XNNPACK/src/packing.c"], deps = [":interface", "//third_party:cpuinfo", "//third_party:FP16", "//third_party:FXdiv", "//third_party:clog"], exported_deps = [], compiler_flags = ["-w", "-Os"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "arm_lib", srcs = [], deps = [":jit_memory", ":ukernels_asm_aarch32", ":ukernels_asm_aarch64", ":ukernels_neon", ":ukernels_neon_aarch64", ":ukernels_neon_dot", ":ukernels_neon_fma", ":ukernels_neon_fp16", ":ukernels_neon_fp16arith_aarch64", ":ukernels_neon_v8", ":ukernels_scalar_aarch32"], exported_deps = [], compiler_flags = ["-w"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "third-party/XNNPACK", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = [], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "x86_and_x86_64_lib", srcs = [], deps = [":ukernels_avx", ":ukernels_avx2", ":ukernels_avx512", ":ukernels_avx512skx", ":ukernels_f16c", ":ukernels_fma3", ":ukernels_sse", ":ukernels_sse2", ":ukernels_sse41", ":ukernels_ssse3", ":ukernels_xop"], exported_deps = [], compiler_flags = ["-w"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "third-party/XNNPACK", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = [], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "tables", srcs = ["XNNPACK/src/tables/exp2-k-over-64.c", "XNNPACK/src/tables/exp2-k-over-2048.c", "XNNPACK/src/tables/exp2minus-k-over-4.c", "XNNPACK/src/tables/exp2minus-k-over-8.c", "XNNPACK/src/tables/exp2minus-k-over-16.c", "XNNPACK/src/tables/exp2minus-k-over-64.c", "XNNPACK/src/tables/exp2minus-k-over-2048.c"], deps = [":interface", "//third_party:FP16", "//third_party:FXdiv", "//third_party:clog"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "subgraph", srcs = ["XNNPACK/src/subgraph/abs.c", "XNNPACK/src/subgraph/add2.c", "XNNPACK/src/subgraph/argmax-pooling-2d.c", "XNNPACK/src/subgraph/average-pooling-2d.c", "XNNPACK/src/subgraph/bankers-rounding.c", "XNNPACK/src/subgraph/ceiling.c", "XNNPACK/src/subgraph/clamp.c", "XNNPACK/src/subgraph/convert.c", "XNNPACK/src/subgraph/convolution-2d.c", "XNNPACK/src/subgraph/deconvolution-2d.c", "XNNPACK/src/subgraph/depth-to-space.c", "XNNPACK/src/subgraph/depthwise-convolution-2d.c", "XNNPACK/src/subgraph/divide.c", "XNNPACK/src/subgraph/elu.c", "XNNPACK/src/subgraph/floor.c", "XNNPACK/src/subgraph/fully-connected.c", "XNNPACK/src/subgraph/global-average-pooling-2d.c", "XNNPACK/src/subgraph/hardswish.c", "XNNPACK/src/subgraph/leaky-relu.c", "XNNPACK/src/subgraph/max-pooling-2d.c", "XNNPACK/src/subgraph/maximum2.c", "XNNPACK/src/subgraph/minimum2.c", "XNNPACK/src/subgraph/multiply2.c", "XNNPACK/src/subgraph/negate.c", "XNNPACK/src/subgraph/prelu.c", "XNNPACK/src/subgraph/sigmoid.c", "XNNPACK/src/subgraph/softmax.c", "XNNPACK/src/subgraph/square-root.c", "XNNPACK/src/subgraph/square.c", "XNNPACK/src/subgraph/squared-difference.c", "XNNPACK/src/subgraph/static-constant-pad.c", "XNNPACK/src/subgraph/static-reshape.c", "XNNPACK/src/subgraph/static-resize-bilinear-2d.c", "XNNPACK/src/subgraph/subtract.c", "XNNPACK/src/subgraph/unpooling-2d.c"], deps = [":interface", "//third_party:FP16", "//third_party:FXdiv", "//third_party:clog"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_avx512", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mavx512f"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-mavx512f"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f32-dwconv/gen/up16x3-minmax-avx512f.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x4-minmax-avx512f.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x9-minmax-avx512f.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x25-minmax-avx512f.c", "XNNPACK/wrappers/f32-gemm/gen/1x16-minmax-avx512f-broadcast.c", "XNNPACK/wrappers/f32-gemm/gen/7x16-minmax-avx512f-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/1x16-minmax-avx512f-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/7x16-minmax-avx512f-broadcast.c", "XNNPACK/wrappers/f32-prelu/gen/avx512f-2x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vadd-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vaddc-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vdiv-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vdivc-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vmaxc-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vmin-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vminc-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vmul-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vmulc-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vrdivc-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vrsubc-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiff-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiffc-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vsub-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vsubc-minmax-avx512f-x32.c", "XNNPACK/wrappers/f32-vclamp/gen/vclamp-avx512f-x16.c", "XNNPACK/wrappers/f32-velu/gen/velu-avx512f-rr1-lut16-p3-perm-x64.c", "XNNPACK/wrappers/f32-vhswish/gen/vhswish-avx512f-x16.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-avx512f-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-avx512f-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-avx512f-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-avx512f-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-avx512f-x16.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c", "XNNPACK/wrappers/f32-vunary/gen/vabs-avx512f-x16.c", "XNNPACK/wrappers/f32-vunary/gen/vneg-avx512f-x16.c", "XNNPACK/wrappers/f32-vunary/gen/vsqr-avx512f-x16.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon_fp16arith_aarch64", srcs = ["XNNPACK/wrappers/f16-dwconv/gen/up8x25-minmax-neonfp16arith-acc2.c", "XNNPACK/wrappers/f16-dwconv/gen/up16x3-minmax-neonfp16arith.c", "XNNPACK/wrappers/f16-dwconv/gen/up16x4-minmax-neonfp16arith.c", "XNNPACK/wrappers/f16-dwconv/gen/up16x9-minmax-neonfp16arith.c", "XNNPACK/wrappers/f16-gavgpool/gen/7p7x-minmax-neonfp16arith-c8.c", "XNNPACK/wrappers/f16-gavgpool/gen/7x-minmax-neonfp16arith-c8.c", "XNNPACK/wrappers/f16-gemm/gen/1x16-minmax-neonfp16arith-ld64.c", "XNNPACK/wrappers/f16-gemm/gen/6x16-minmax-neonfp16arith-ld64.c", "XNNPACK/wrappers/f16-ibilinear/gen/neonfp16arith-c8.c", "XNNPACK/wrappers/f16-igemm/gen/1x16-minmax-neonfp16arith-ld64.c", "XNNPACK/wrappers/f16-igemm/gen/6x16-minmax-neonfp16arith-ld64.c", "XNNPACK/wrappers/f16-maxpool/9p8x-minmax-neonfp16arith-c8.c", "XNNPACK/wrappers/f16-prelu/gen/neonfp16arith-2x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vadd-minmax-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vaddc-minmax-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vmul-minmax-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vmulc-minmax-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vclamp/gen/vclamp-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vhswish/gen/vhswish-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vlrelu/gen/vlrelu-neonfp16arith-x16.c", "XNNPACK/wrappers/f16-vmulcaddc/gen/c8-minmax-neonfp16arith-2x.c"], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["(aarch64|arm64)", ["-march=armv8.2-a+fp16"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_avx", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mavx"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-mavx"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-avx-int16-x16.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x25-minmax-avx.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x3-minmax-avx.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x4-minmax-avx.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x9-minmax-avx.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-avx-x24.c", "XNNPACK/wrappers/f32-gemm/gen/1x16-minmax-avx-broadcast.c", "XNNPACK/wrappers/f32-gemm/gen/5x16-minmax-avx-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/1x16-minmax-avx-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/5x16-minmax-avx-broadcast.c", "XNNPACK/wrappers/f32-prelu/gen/avx-2x16.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-avx-x32.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-avx-x32.c", "XNNPACK/wrappers/f32-vbinary/gen/vadd-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vaddc-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vdiv-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vdivc-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vmaxc-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vmin-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vminc-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vmul-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vmulc-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vrdivc-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vrsubc-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiff-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiffc-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vsub-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vbinary/gen/vsubc-minmax-avx-x16.c", "XNNPACK/wrappers/f32-vclamp/gen/vclamp-avx-x16.c", "XNNPACK/wrappers/f32-velu/gen/velu-avx-rr2-lut4-p4-perm-x32.c", "XNNPACK/wrappers/f32-vhswish/gen/vhswish-avx-x16.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-avx-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-avx-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-avx-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-avx-x16.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-avx-x16.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-avx-rr2-p5-nr2-x40.c", "XNNPACK/wrappers/f32-vsqrt/gen/avx-sqrt-x8.c", "XNNPACK/wrappers/f32-vunary/gen/vabs-avx-x16.c", "XNNPACK/wrappers/f32-vunary/gen/vneg-avx-x16.c", "XNNPACK/wrappers/f32-vunary/gen/vsqr-avx-x16.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x9-minmax-fp32-avx-mul16-add16.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x25-minmax-fp32-avx-mul16-add16.c", "XNNPACK/wrappers/qc8-gemm/gen/1x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qc8-gemm/gen/2x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qc8-igemm/gen/1x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qc8-igemm/gen/2x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x9-minmax-fp32-avx-mul16-add16.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x25-minmax-fp32-avx-mul16-add16.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-avx-x32.c", "XNNPACK/wrappers/qs8-gemm/gen/1x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qs8-gemm/gen/2x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qs8-igemm/gen/1x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qs8-igemm/gen/2x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-avx-mul32-ld32-x8.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-avx-mul32-ld32-x8.c", "XNNPACK/wrappers/qs8-vmul/gen/minmax-fp32-avx-mul16-ld64-x16.c", "XNNPACK/wrappers/qs8-vmulc/gen/minmax-fp32-avx-mul16-ld64-x16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x9-minmax-fp32-avx-mul16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x25-minmax-fp32-avx-mul16.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-avx-x32.c", "XNNPACK/wrappers/qu8-gemm/gen/1x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qu8-gemm/gen/2x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qu8-igemm/gen/1x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qu8-igemm/gen/2x4c8-minmax-fp32-avx-ld128.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-avx-mul32-ld32-x8.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-avx-mul32-ld32-x8.c", "XNNPACK/wrappers/qu8-vmul/gen/minmax-fp32-avx-mul16-ld64-x16.c", "XNNPACK/wrappers/qu8-vmulc/gen/minmax-fp32-avx-mul16-ld64-x16.c", "XNNPACK/wrappers/x8-lut/gen/lut-avx-x64.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_sse41", srcs = [], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-msse4.1"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-sse41-int16-x16.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-sse41-x8.c", "XNNPACK/wrappers/f32-prelu/gen/sse41-2x8.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-sse41-x32.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-sse41-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-sse41-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-sse41-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-sse41-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-sse41-x8.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-sse41-rr2-lut64-p2-div-x8.c", "XNNPACK/wrappers/qc8-dwconv/gen/up8x9-minmax-fp32-sse41-mul16.c", "XNNPACK/wrappers/qc8-dwconv/gen/up8x25-minmax-fp32-sse41-mul16.c", "XNNPACK/wrappers/qc8-gemm/gen/1x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qc8-gemm/gen/3x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qc8-igemm/gen/1x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qc8-igemm/gen/3x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qs8-dwconv/gen/up8x9-minmax-fp32-sse41-mul16-add16.c", "XNNPACK/wrappers/qs8-dwconv/gen/up8x25-minmax-fp32-sse41-mul16-add16.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-sse41-x16.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7p7x-minmax-fp32-sse41-c8.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7x-minmax-fp32-sse41-c8.c", "XNNPACK/wrappers/qs8-gemm/gen/1x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qs8-gemm/gen/3x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qs8-igemm/gen/1x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qs8-igemm/gen/3x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-sse41-mul16-ld64-x8.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-sse41-mul16-ld64-x8.c", "XNNPACK/wrappers/qs8-vmul/gen/minmax-fp32-sse41-mul16-ld64-x16.c", "XNNPACK/wrappers/qs8-vmulc/gen/minmax-fp32-sse41-mul16-ld64-x16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up8x9-minmax-fp32-sse41-mul16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up8x25-minmax-fp32-sse41-mul16.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-sse41-x16.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7p7x-minmax-fp32-sse41-c8.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7x-minmax-fp32-sse41-c8.c", "XNNPACK/wrappers/qu8-gemm/gen/1x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qu8-gemm/gen/3x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qu8-igemm/gen/1x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qu8-igemm/gen/3x4c8-minmax-fp32-sse41-ld64.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-sse41-mul16-ld64-x8.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-sse41-mul16-ld64-x8.c", "XNNPACK/wrappers/qu8-vmul/gen/minmax-fp32-sse41-mul16-ld64-x16.c", "XNNPACK/wrappers/qu8-vmulc/gen/minmax-fp32-sse41-mul16-ld64-x16.c", "XNNPACK/wrappers/s8-ibilinear/gen/sse41-c16.c", "XNNPACK/wrappers/s8-maxpool/9p8x-minmax-sse41-c16.c", "XNNPACK/wrappers/s8-vclamp/sse41-x64.c", "XNNPACK/wrappers/u8-ibilinear/gen/sse41-c16.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon", srcs = ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-neon-int16-x16.c", "XNNPACK/wrappers/f32-argmaxpool/4x-neon-c4.c", "XNNPACK/wrappers/f32-argmaxpool/9p8x-neon-c4.c", "XNNPACK/wrappers/f32-argmaxpool/9x-neon-c4.c", "XNNPACK/wrappers/f32-avgpool/9p8x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-avgpool/9x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-conv-hwc2chw/3x3s2p1c3x4-neon-2x2.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x3-minmax-neon.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x4-minmax-neon.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x9-minmax-neon.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x25-minmax-neon-acc2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3p1-minmax-neon-2x4.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3s2p1-minmax-neon-1x4.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5p2-minmax-neon-1x4.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5s2p2-minmax-neon-1x4.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-neon-x8.c", "XNNPACK/wrappers/f32-gavgpool-cw/neon-x4.c", "XNNPACK/wrappers/f32-gavgpool/7p7x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-gavgpool/7x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-neon-lane-ld64.c", "XNNPACK/wrappers/f32-gemm/gen/4x2-minmax-neon-lane-ld64.c", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-neon-lane-ld64.c", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-neon-lane-ld128.c", "XNNPACK/wrappers/f32-ibilinear-chw/gen/neon-p8.c", "XNNPACK/wrappers/f32-ibilinear/gen/neon-c8.c", "XNNPACK/wrappers/f32-igemm/gen/1x8-minmax-neon-lane-ld64.c", "XNNPACK/wrappers/f32-igemm/gen/4x2-minmax-neon-lane-ld64.c", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-neon-lane-ld64.c", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-neon-lane-ld128.c", "XNNPACK/wrappers/f32-maxpool/9p8x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-pavgpool/9p8x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-pavgpool/9x-minmax-neon-c4.c", "XNNPACK/wrappers/f32-prelu/gen/neon-2x8.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-neon-x32.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-neon-x32.c", "XNNPACK/wrappers/f32-raddstoreexpminusmax/gen/neon-rr2-lut64-p2-x8.c", "XNNPACK/wrappers/f32-rmax/neon.c", "XNNPACK/wrappers/f32-spmm/gen/32x1-minmax-neon.c", "XNNPACK/wrappers/f32-vbinary/gen/vadd-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vaddc-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmaxc-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmin-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vminc-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmul-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmulc-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vrsubc-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiff-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiffc-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsub-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsubc-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vclamp/gen/vclamp-neon-x8.c", "XNNPACK/wrappers/f32-velu/gen/velu-neon-rr2-lut16-p3-x8.c", "XNNPACK/wrappers/f32-vhswish/gen/vhswish-neon-x16.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-neon-x8.c", "XNNPACK/wrappers/f32-vmulcaddc/gen/c4-minmax-neon-2x.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-neon-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-neon-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-neon-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-neon-x8.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-neon-rr2-lut64-p2-nr2recps-x8.c", "XNNPACK/wrappers/f32-vunary/gen/vabs-neon-x8.c", "XNNPACK/wrappers/f32-vunary/gen/vneg-neon-x8.c", "XNNPACK/wrappers/f32-vunary/gen/vsqr-neon-x8.c", "XNNPACK/wrappers/qc8-dwconv/gen/up8x25-minmax-fp32-neon-mla8-ld64.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x9-minmax-fp32-neon-mla8-ld64.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x25-minmax-fp32-neon-mla8-ld64.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8c2s4-minmax-fp32-neon-mlal.c", "XNNPACK/wrappers/qc8-gemm/gen/2x8c2s4-minmax-fp32-neon-mlal.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8c2s4-minmax-fp32-neon-mlal.c", "XNNPACK/wrappers/qc8-igemm/gen/2x8c2s4-minmax-fp32-neon-mlal.c", "XNNPACK/wrappers/qs8-dwconv/gen/up8x25-minmax-rndnu-neon-mla8-ld64.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x9-minmax-rndnu-neon-mla8-ld64.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x25-minmax-rndnu-neon-mla8-ld64.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-neon-x32.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7p7x-minmax-rndnu-neon-c8.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7x-minmax-rndnu-neon-c8.c", "XNNPACK/wrappers/qs8-gemm/gen/1x8-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qs8-gemm/gen/1x8c2s4-minmax-rndnu-neon-mlal.c", "XNNPACK/wrappers/qs8-gemm/gen/1x16-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qs8-gemm/gen/2x8c2s4-minmax-rndnu-neon-mlal.c", "XNNPACK/wrappers/qs8-igemm/gen/1x8-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qs8-igemm/gen/1x8c2s4-minmax-rndnu-neon-mlal.c", "XNNPACK/wrappers/qs8-igemm/gen/1x16-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qs8-igemm/gen/2x8c2s4-minmax-rndnu-neon-mlal.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-neon-ld64-x16.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-neon-ld64-x32.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-neon-ld64-x16.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-neon-ld64-x32.c", "XNNPACK/wrappers/qs8-vmul/gen/minmax-rndnu-neon-ld64-x16.c", "XNNPACK/wrappers/qs8-vmulc/gen/minmax-rndnu-neon-ld64-x16.c", "XNNPACK/wrappers/qu8-avgpool/9p8x-minmax-neon-c8.c", "XNNPACK/wrappers/qu8-avgpool/9x-minmax-neon-c8.c", "XNNPACK/wrappers/qu8-dwconv/gen/up8x25-minmax-rndnu-neon-mul8.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x9-minmax-rndnu-neon-mul8.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-neon-x32.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7p7x-minmax-rndnu-neon-c8.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7x-minmax-rndnu-neon-c8.c", "XNNPACK/wrappers/qu8-gemm/gen/1x8-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-gemm/gen/1x16-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-gemm/gen/3x8-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-gemm/gen/4x16-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-igemm/gen/1x8-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-igemm/gen/1x16-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-igemm/gen/3x8-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-igemm/gen/4x16-minmax-rndnu-neon-mlal-lane.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-neon-ld64-x16.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-neon-ld64-x32.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-neon-ld64-x16.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-neon-ld64-x32.c", "XNNPACK/wrappers/qu8-vmul/gen/minmax-rndnu-neon-ld64-x16.c", "XNNPACK/wrappers/qu8-vmulc/gen/minmax-rndnu-neon-ld64-x16.c", "XNNPACK/wrappers/s8-ibilinear/gen/neon-c8.c", "XNNPACK/wrappers/s8-ibilinear/gen/neon-c16.c", "XNNPACK/wrappers/s8-maxpool/9p8x-minmax-neon-c16.c", "XNNPACK/wrappers/s8-vclamp/neon-x64.c", "XNNPACK/wrappers/u8-ibilinear/gen/neon-c8.c", "XNNPACK/wrappers/u8-ibilinear/gen/neon-c16.c", "XNNPACK/wrappers/u8-maxpool/9p8x-minmax-neon-c16.c", "XNNPACK/wrappers/u8-rmax/neon.c", "XNNPACK/wrappers/u8-vclamp/neon-x64.c", "XNNPACK/wrappers/xx-fill/neon-x64.c", "XNNPACK/wrappers/xx-pad/neon.c", "XNNPACK/wrappers/x8-zip/xm-neon.c", "XNNPACK/wrappers/x8-zip/x2-neon.c", "XNNPACK/wrappers/x8-zip/x3-neon.c", "XNNPACK/wrappers/x8-zip/x4-neon.c", "XNNPACK/wrappers/x32-packx/x4-neon-st4.c", "XNNPACK/wrappers/x32-unpool/neon.c", "XNNPACK/wrappers/x32-zip/xm-neon.c", "XNNPACK/wrappers/x32-zip/x2-neon.c", "XNNPACK/wrappers/x32-zip/x3-neon.c", "XNNPACK/wrappers/x32-zip/x4-neon.c"], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["^(android-armv7|iphoneos-armv7)$", ["-march=armv7-a", "-mfpu=neon", "-mfloat-abi=softfp"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon_dot", srcs = [], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["(aarch64|arm64)", ["-march=armv8.2-a+dotprod"]], ["^android-armv7$", ["-march=armv8.2-a+dotprod", "-mfpu=neon-fp-armv8", "-mfloat-abi=softfp"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["^((?!iphoneos-armv7).)*$", ["XNNPACK/wrappers/qc8-gemm/gen/1x8c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-gemm/gen/1x16c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-gemm/gen/4x8c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-gemm/gen/4x16c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-igemm/gen/1x16c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-igemm/gen/4x8c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qc8-igemm/gen/4x16c4-minmax-fp32-neondot.c", "XNNPACK/wrappers/qs8-gemm/gen/1x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-gemm/gen/1x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-gemm/gen/4x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-gemm/gen/4x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-igemm/gen/1x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-igemm/gen/1x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-igemm/gen/4x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qs8-igemm/gen/4x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-gemm/gen/1x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-gemm/gen/1x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-gemm/gen/4x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-gemm/gen/4x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-igemm/gen/1x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-igemm/gen/1x16c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-igemm/gen/4x8c4-minmax-rndnu-neondot.c", "XNNPACK/wrappers/qu8-igemm/gen/4x16c4-minmax-rndnu-neondot.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon_aarch64", srcs = ["XNNPACK/wrappers/f32-conv-hwc2chw/3x3s2p1c3x4-neonfma-2x2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3p1-minmax-neonfma-3x4.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3s2p1-minmax-neonfma-2x4-acc2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5p2-minmax-neonfma-4x4.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5s2p2-minmax-neonfma-1x4-acc2.c", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-neonfma-lane-ld64.c", "XNNPACK/wrappers/f32-gemm/gen/4x2-minmax-neonfma-lane-ld64.c", "XNNPACK/wrappers/f32-gemm/gen/6x8-minmax-neonfma-lane-ld64.c", "XNNPACK/wrappers/f32-igemm/gen/1x8-minmax-neonfma-lane-ld64.c", "XNNPACK/wrappers/f32-igemm/gen/4x2-minmax-neonfma-lane-ld64.c", "XNNPACK/wrappers/f32-igemm/gen/6x8-minmax-neonfma-lane-ld64.c", "XNNPACK/wrappers/f32-spmm/gen/32x2-minmax-neonfma.c", "XNNPACK/wrappers/f32-spmm/gen/32x4-minmax-neonfma.c", "XNNPACK/wrappers/f32-vbinary/gen/vdiv-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vdivc-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vrdivc-minmax-neon-x8.c", "XNNPACK/wrappers/f32-vsqrt/gen/neon-sqrt-x4.c", "XNNPACK/wrappers/x8-lut/gen/lut-neon-tbx128x4-x64.c"], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["(aarch64|arm64)", ["-mfpu=neon-vfpv4"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon_v8", srcs = ["XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-neonv8-x32.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-neonv8-x32.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-neonv8-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-neonv8-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-neonv8-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-neonv8-x8.c", "XNNPACK/wrappers/qc8-dwconv/gen/up8x25-minmax-fp32-neonv8-mla8-ld64.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x9-minmax-fp32-neonv8-mla8-ld64.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x25-minmax-fp32-neonv8-mla8-ld64.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8-minmax-fp32-neonv8-mlal-lane-prfm.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8-minmax-fp32-neonv8-mlal-lane.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8c2s4-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8c8-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-gemm/gen/1x16-minmax-fp32-neonv8-mlal-lane.c", "XNNPACK/wrappers/qc8-gemm/gen/2x8c2s4-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-gemm/gen/2x8c8-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-gemm/gen/4x16-minmax-fp32-neonv8-mlal-lane.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8-minmax-fp32-neonv8-mlal-lane-prfm.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8-minmax-fp32-neonv8-mlal-lane.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8c2s4-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8c8-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-igemm/gen/1x16-minmax-fp32-neonv8-mlal-lane.c", "XNNPACK/wrappers/qc8-igemm/gen/2x8c2s4-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-igemm/gen/2x8c8-minmax-fp32-neonv8-mlal.c", "XNNPACK/wrappers/qc8-igemm/gen/4x16-minmax-fp32-neonv8-mlal-lane.c"], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["(aarch64|arm64)", ["-march=armv8-a", "-mfpu=neon-fp-armv8"]], ["^android-armv7$", ["-march=armv8-a", "-mfpu=neon-fp-armv8", "-mfloat-abi=softfp"]], ["^iphoneos-armv7$", ["-mcpu=cyclone", "-mtune=generic"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_avx512skx", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mavx512f", "-mavx512cd", "-mavx512bw", "-mavx512dq", "-mavx512vl"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["^(i[3-6]86|x86|x86_64|AMD64)$", ["-mavx512f", "-mavx512cd", "-mavx512bw", "-mavx512dq", "-mavx512vl"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-avx512skx-x16.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-avx512skx-x16.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-avx512skx-x128.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-avx512skx-x128.c", "XNNPACK/wrappers/qc8-dwconv/gen/up32x9-minmax-fp32-avx512skx-mul32.c", "XNNPACK/wrappers/qc8-dwconv/gen/up32x25-minmax-fp32-avx512skx-mul32.c", "XNNPACK/wrappers/qc8-gemm/gen/1x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qc8-gemm/gen/4x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qc8-igemm/gen/1x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qc8-igemm/gen/4x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qs8-dwconv/gen/up32x9-minmax-fp32-avx512skx-mul32.c", "XNNPACK/wrappers/qs8-dwconv/gen/up32x25-minmax-fp32-avx512skx-mul32.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-avx512skx-x32.c", "XNNPACK/wrappers/qs8-gemm/gen/1x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qs8-gemm/gen/4x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qs8-igemm/gen/1x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qs8-igemm/gen/4x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-avx512skx-mul32-ld128-x16.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-avx512skx-mul32-ld128-x16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up32x9-minmax-fp32-avx512skx-mul32.c", "XNNPACK/wrappers/qu8-dwconv/gen/up32x25-minmax-fp32-avx512skx-mul32.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-avx512skx-x32.c", "XNNPACK/wrappers/qu8-gemm/gen/1x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qu8-gemm/gen/4x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qu8-igemm/gen/1x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qu8-igemm/gen/4x16c8-minmax-fp32-avx512skx.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-avx512skx-mul32-ld128-x16.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-avx512skx-mul32-ld128-x16.c", "XNNPACK/wrappers/x8-lut/gen/lut-avx512skx-vpshufb-x64.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon_fp16", srcs = ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-neonfp16-x16.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-neonfp16-x16.c"], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["arm", ["-mfpu=neon-fp16"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "interface", srcs = [], deps = [], exported_deps = ["//third_party:pthreadpool_header"], compiler_flags = ["-w"], preferred_linkage = "static", exported_headers = {"xnnpack.h": "XNNPACK/include/xnnpack.h"}, exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_fma3", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mfma", "-mf16c"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["^(i[3-6]86|x86|x86_64|AMD64)$", ["-mfma", "-mf16c"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-dwconv/gen/up8x25-minmax-fma3-acc2.c", "XNNPACK/wrappers/f16-dwconv/gen/up16x3-minmax-fma3.c", "XNNPACK/wrappers/f16-dwconv/gen/up16x4-minmax-fma3.c", "XNNPACK/wrappers/f16-dwconv/gen/up16x9-minmax-fma3.c", "XNNPACK/wrappers/f16-ibilinear/gen/fma3-c8.c", "XNNPACK/wrappers/f16-vmulcaddc/gen/c8-minmax-fma3-2x.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x25-minmax-fma3.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x3-minmax-fma3.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x4-minmax-fma3.c", "XNNPACK/wrappers/f32-dwconv/gen/up16x9-minmax-fma3.c", "XNNPACK/wrappers/f32-gemm/gen/1x16-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-gemm/gen/1x16s4-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-gemm/gen/4x16s4-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-gemm/gen/5x16-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/1x16-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/1x16s4-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/4x16s4-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-igemm/gen/5x16-minmax-fma3-broadcast.c", "XNNPACK/wrappers/f32-vhswish/gen/vhswish-fma3-x16.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "jit_memory", srcs = ["XNNPACK/src/jit/aarch32-assembler.cc", "XNNPACK/src/jit/aarch64-assembler.cc", "XNNPACK/src/jit/assembler.cc", "XNNPACK/src/jit/memory.c"], deps = [":interface", "//third_party:clog"], exported_deps = [], compiler_flags = ["-w", "-Os"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_sse2", srcs = [], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-msse2"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-sse2-int16-x32.c", "XNNPACK/wrappers/f32-argmaxpool/4x-sse2-c4.c", "XNNPACK/wrappers/f32-argmaxpool/9p8x-sse2-c4.c", "XNNPACK/wrappers/f32-argmaxpool/9x-sse2-c4.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-sse2-x16.c", "XNNPACK/wrappers/f32-prelu/gen/sse2-2x8.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-sse2-x32.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-sse2-x32.c", "XNNPACK/wrappers/f32-raddstoreexpminusmax/gen/sse2-rr2-p5-x20-acc2.c", "XNNPACK/wrappers/f32-velu/gen/velu-sse2-rr2-lut16-p3-x12.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-sse2-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-sse2-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-sse2-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-sse2-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-sse2-x8.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-sse2-rr2-lut64-p2-div-x8.c", "XNNPACK/wrappers/qc8-dwconv/gen/up8x9-minmax-fp32-sse2-mul16.c", "XNNPACK/wrappers/qc8-dwconv/gen/up8x25-minmax-fp32-sse2-mul16.c", "XNNPACK/wrappers/qc8-gemm/gen/1x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qc8-gemm/gen/3x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qc8-igemm/gen/1x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qc8-igemm/gen/3x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qs8-dwconv/gen/up8x9-minmax-fp32-sse2-mul16-add16.c", "XNNPACK/wrappers/qs8-dwconv/gen/up8x25-minmax-fp32-sse2-mul16-add16.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-sse2-x32.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7p7x-minmax-fp32-sse2-c8.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7x-minmax-fp32-sse2-c8.c", "XNNPACK/wrappers/qs8-gemm/gen/1x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qs8-gemm/gen/3x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qs8-igemm/gen/1x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qs8-igemm/gen/3x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qs8-vmul/gen/minmax-fp32-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qs8-vmulc/gen/minmax-fp32-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qu8-avgpool/9p8x-minmax-sse2-c8.c", "XNNPACK/wrappers/qu8-avgpool/9x-minmax-sse2-c8.c", "XNNPACK/wrappers/qu8-dwconv/gen/up8x9-minmax-fp32-sse2-mul16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up8x25-minmax-fp32-sse2-mul16.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-sse2-x32.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7p7x-minmax-fp32-sse2-c8.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7x-minmax-fp32-sse2-c8.c", "XNNPACK/wrappers/qu8-gemm/gen/1x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qu8-gemm/gen/3x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qu8-igemm/gen/1x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qu8-igemm/gen/3x4c8-minmax-fp32-sse2-ld64.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qu8-vmul/gen/minmax-fp32-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/qu8-vmulc/gen/minmax-fp32-sse2-mul16-ld64-x8.c", "XNNPACK/wrappers/s8-ibilinear/gen/sse2-c8.c", "XNNPACK/wrappers/s8-maxpool/9p8x-minmax-sse2-c16.c", "XNNPACK/wrappers/s8-vclamp/sse2-x64.c", "XNNPACK/wrappers/u8-ibilinear/gen/sse2-c8.c", "XNNPACK/wrappers/u8-maxpool/9p8x-minmax-sse2-c16.c", "XNNPACK/wrappers/u8-rmax/sse2.c", "XNNPACK/wrappers/u8-vclamp/sse2-x64.c", "XNNPACK/wrappers/xx-fill/sse2-x64.c", "XNNPACK/wrappers/xx-pad/sse2.c", "XNNPACK/wrappers/x8-zip/xm-sse2.c", "XNNPACK/wrappers/x8-zip/x2-sse2.c", "XNNPACK/wrappers/x8-zip/x3-sse2.c", "XNNPACK/wrappers/x8-zip/x4-sse2.c", "XNNPACK/wrappers/x32-unpool/sse2.c", "XNNPACK/wrappers/x32-zip/xm-sse2.c", "XNNPACK/wrappers/x32-zip/x2-sse2.c", "XNNPACK/wrappers/x32-zip/x3-sse2.c", "XNNPACK/wrappers/x32-zip/x4-sse2.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_sse", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-msse"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f32-avgpool/9p8x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-avgpool/9x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-conv-hwc2chw/3x3s2p1c3x4-sse-2x2.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x3-minmax-sse.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x4-minmax-sse.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x9-minmax-sse.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x25-minmax-sse.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3p1-minmax-sse-2x4-acc2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3s2p1-minmax-sse-1x4-acc3.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5p2-minmax-sse-4x4.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5s2p2-minmax-sse-2x4.c", "XNNPACK/wrappers/f32-gavgpool-cw/sse-x4.c", "XNNPACK/wrappers/f32-gavgpool/7p7x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-gavgpool/7x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-sse-load1.c", "XNNPACK/wrappers/f32-gemm/gen/4x2c4-minmax-sse.c", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-sse-load1.c", "XNNPACK/wrappers/f32-ibilinear-chw/gen/sse-p8.c", "XNNPACK/wrappers/f32-ibilinear/gen/sse-c8.c", "XNNPACK/wrappers/f32-igemm/gen/1x8-minmax-sse-load1.c", "XNNPACK/wrappers/f32-igemm/gen/4x2c4-minmax-sse.c", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-sse-load1.c", "XNNPACK/wrappers/f32-maxpool/9p8x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-pavgpool/9p8x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-pavgpool/9x-minmax-sse-c4.c", "XNNPACK/wrappers/f32-rmax/sse.c", "XNNPACK/wrappers/f32-spmm/gen/32x1-minmax-sse.c", "XNNPACK/wrappers/f32-vbinary/gen/vadd-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vaddc-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vdiv-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vdivc-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmaxc-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmin-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vminc-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmul-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmulc-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vrdivc-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vrsubc-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiff-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiffc-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsub-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsubc-minmax-sse-x8.c", "XNNPACK/wrappers/f32-vclamp/gen/vclamp-sse-x8.c", "XNNPACK/wrappers/f32-vhswish/gen/vhswish-sse-x8.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-sse-x8.c", "XNNPACK/wrappers/f32-vmulcaddc/gen/c4-minmax-sse-2x.c", "XNNPACK/wrappers/f32-vsqrt/gen/sse-sqrt-x4.c", "XNNPACK/wrappers/f32-vunary/gen/vabs-sse-x8.c", "XNNPACK/wrappers/f32-vunary/gen/vneg-sse-x8.c", "XNNPACK/wrappers/f32-vunary/gen/vsqr-sse-x8.c", "XNNPACK/wrappers/x32-packx/x4-sse.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_asm_aarch32", srcs = ["XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch32-neon-cortex-a7.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch32-neon-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch32-neon-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch32-neon-ld64.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch32-neon-prfm-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch32-neon-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/4x4-aarch32-vfp-ld64.S", "XNNPACK/wrappers/f32-gemm/4x4-minmax-aarch32-vfp-ld64.S", "XNNPACK/wrappers/f32-gemm/4x8-minmax-aarch32-neon-cortex-a55.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch32-neon-cortex-a7.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch32-neon-cortex-a53.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch32-neon-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch32-neon-ld64.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch32-neon-prfm-cortex-a53.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch32-neon-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/4x8-minmax-aarch32-neon-cortex-a55.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-cortex-a7.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-ld64.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-prfm-cortex-a7.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-ld64.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8c4-minmax-fp32-aarch32-neondot-cortex-a55.S", "XNNPACK/wrappers/qc8-gemm/gen/4x8c4-minmax-fp32-aarch32-neondot-ld64.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-ld64.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neon-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-ld64.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8-minmax-fp32-aarch32-neonv8-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8c4-minmax-fp32-aarch32-neondot-cortex-a55.S", "XNNPACK/wrappers/qc8-igemm/gen/4x8c4-minmax-fp32-aarch32-neondot-ld64.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-cortex-a7.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-ld64.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-cortex-a7.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8c4-minmax-rndnu-aarch32-neondot-cortex-a55.S", "XNNPACK/wrappers/qs8-gemm/gen/4x8c4-minmax-rndnu-aarch32-neondot-ld64.S", "XNNPACK/wrappers/qs8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qs8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-ld64.S", "XNNPACK/wrappers/qs8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qs8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qs8-igemm/gen/4x8c4-minmax-rndnu-aarch32-neondot-cortex-a55.S", "XNNPACK/wrappers/qs8-igemm/gen/4x8c4-minmax-rndnu-aarch32-neondot-ld64.S", "XNNPACK/wrappers/qu8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-cortex-a7.S", "XNNPACK/wrappers/qu8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qu8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-ld64.S", "XNNPACK/wrappers/qu8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-cortex-a7.S", "XNNPACK/wrappers/qu8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qu8-gemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-ld64.S", "XNNPACK/wrappers/qu8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-cortex-a53.S", "XNNPACK/wrappers/qu8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-ld64.S", "XNNPACK/wrappers/qu8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-cortex-a53.S", "XNNPACK/wrappers/qu8-igemm/gen/4x8-minmax-rndnu-aarch32-neon-mlal-lane-prfm-ld64.S"], deps = [":interface", ":jit_memory", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["^android-armv7$", ["-march=armv8.2-a+dotprod", "-mfpu=neon-fp-armv8", "-mfloat-abi=softfp"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_ssse3", srcs = [], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-mssse3"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3p1-minmax-ssse3-2x4-acc2.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_f16c", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mf16c"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-mf16c"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-f16c-x16.c", "XNNPACK/wrappers/f16-gavgpool/gen/7p7x-minmax-f16c-c8.c", "XNNPACK/wrappers/f16-gavgpool/gen/7x-minmax-f16c-c8.c", "XNNPACK/wrappers/f16-maxpool/9p8x-minmax-f16c-c8.c", "XNNPACK/wrappers/f16-prelu/gen/f16c-2x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vadd-minmax-f16c-x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vaddc-minmax-f16c-x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vmul-minmax-f16c-x16.c", "XNNPACK/wrappers/f16-vbinary/gen/vmulc-minmax-f16c-x16.c", "XNNPACK/wrappers/f16-vclamp/gen/vclamp-f16c-x16.c", "XNNPACK/wrappers/f16-vhswish/gen/vhswish-f16c-x16.c", "XNNPACK/wrappers/f16-vlrelu/gen/vlrelu-f16c-x16.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-f16c-x16.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_xop", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mxop"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [], platform_linker_flags = [], platform_preprocessor_flags = [["windows-x86_64", ["-Drestrict="]], ["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/qc8-dwconv/gen/up16x9-minmax-fp32-xop-mul16-add16.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x25-minmax-fp32-xop-mul16-add16.c", "XNNPACK/wrappers/qc8-gemm/gen/1x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qc8-gemm/gen/2x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qc8-igemm/gen/1x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qc8-igemm/gen/2x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x9-minmax-fp32-xop-mul16-add16.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x25-minmax-fp32-xop-mul16-add16.c", "XNNPACK/wrappers/qs8-gemm/gen/1x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qs8-gemm/gen/2x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qs8-igemm/gen/1x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qs8-igemm/gen/2x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-xop-mul32-ld32-x8.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-xop-mul32-ld32-x8.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x9-minmax-fp32-xop-mul32.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x25-minmax-fp32-xop-mul32.c", "XNNPACK/wrappers/qu8-gemm/gen/1x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qu8-gemm/gen/2x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qu8-igemm/gen/1x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qu8-igemm/gen/2x4c8-minmax-fp32-xop-ld64.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-xop-mul32-ld32-x8.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-xop-mul32-ld32-x8.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_scalar_aarch32", srcs = ["XNNPACK/wrappers/f16-f32-vcvt/gen/vcvt-scalar-x4.c", "XNNPACK/wrappers/f32-argmaxpool/4x-scalar-c1.c", "XNNPACK/wrappers/f32-argmaxpool/9p8x-scalar-c1.c", "XNNPACK/wrappers/f32-argmaxpool/9x-scalar-c1.c", "XNNPACK/wrappers/f32-avgpool/9p8x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-avgpool/9x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-conv-hwc/3x3s2p0p1c3x4-scalar-1x1.c", "XNNPACK/wrappers/f32-conv-hwc/3x3s2p1c3x4-scalar-1x1.c", "XNNPACK/wrappers/f32-conv-hwc2chw/3x3s2p1c3x4-scalar-1x1.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x3-minmax-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x3-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x4-minmax-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x4-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x9-minmax-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x9-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x25-minmax-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv/gen/up1x25-scalar-acc2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3p1-minmax-scalar-4x1.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/3x3s2p1-minmax-scalar-2x1-acc2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5p2-minmax-scalar-2x1-acc2.c", "XNNPACK/wrappers/f32-dwconv2d-chw/gen/5x5s2p2-minmax-scalar-2x1-acc2.c", "XNNPACK/wrappers/f32-f16-vcvt/gen/vcvt-scalar-fabsf-x2.c", "XNNPACK/wrappers/f32-gavgpool-cw/scalar-x1.c", "XNNPACK/wrappers/f32-gavgpool/7p7x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-gavgpool/7x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-gemm/gen/1x4-minmax-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/1x4-relu-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/1x4-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/4x2-minmax-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/4x2-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/4x4-minmax-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/4x4-relu-scalar.c", "XNNPACK/wrappers/f32-gemm/gen/4x4-scalar.c", "XNNPACK/wrappers/f32-ibilinear-chw/gen/scalar-p4.c", "XNNPACK/wrappers/f32-ibilinear/gen/scalar-c2.c", "XNNPACK/wrappers/f32-igemm/gen/1x4-minmax-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/1x4-relu-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/1x4-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/4x2-minmax-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/4x2-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/4x4-minmax-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/4x4-relu-scalar.c", "XNNPACK/wrappers/f32-igemm/gen/4x4-scalar.c", "XNNPACK/wrappers/f32-maxpool/9p8x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-pavgpool/9p8x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-pavgpool/9x-minmax-scalar-c1.c", "XNNPACK/wrappers/f32-prelu/gen/scalar-2x4.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-scalar-imagic-x4.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-scalar-imagic-x4.c", "XNNPACK/wrappers/f32-raddstoreexpminusmax/gen/scalar-rr2-p5-x4-acc2.c", "XNNPACK/wrappers/f32-rmax/scalar.c", "XNNPACK/wrappers/f32-spmm/gen/8x1-minmax-scalar.c", "XNNPACK/wrappers/f32-spmm/gen/8x2-minmax-scalar.c", "XNNPACK/wrappers/f32-spmm/gen/8x4-minmax-scalar.c", "XNNPACK/wrappers/f32-vbinary/gen/vadd-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vaddc-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vdiv-minmax-scalar-x2.c", "XNNPACK/wrappers/f32-vbinary/gen/vdivc-minmax-scalar-x2.c", "XNNPACK/wrappers/f32-vbinary/gen/vmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmaxc-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmin-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vminc-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmul-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vmulc-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vrdivc-minmax-scalar-x2.c", "XNNPACK/wrappers/f32-vbinary/gen/vrsubc-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiff-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsqrdiffc-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsub-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vbinary/gen/vsubc-minmax-scalar-x8.c", "XNNPACK/wrappers/f32-vclamp/gen/vclamp-scalar-x4.c", "XNNPACK/wrappers/f32-velu/gen/velu-scalar-rr2-lut16-p3-x4.c", "XNNPACK/wrappers/f32-vhswish/gen/vhswish-scalar-x4.c", "XNNPACK/wrappers/f32-vlrelu/gen/vlrelu-scalar-x4.c", "XNNPACK/wrappers/f32-vmulcaddc/gen/c1-minmax-scalar-2x.c", "XNNPACK/wrappers/f32-vrelu/gen/vrelu-scalar-x8.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndd-scalar-libm-x1.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndne-scalar-libm-x1.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndu-scalar-libm-x1.c", "XNNPACK/wrappers/f32-vrnd/gen/vrndz-scalar-libm-x1.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-scalar-rr2-lut64-p2-div-x2.c", "XNNPACK/wrappers/f32-vsqrt/gen/scalar-sqrt-x1.c", "XNNPACK/wrappers/f32-vunary/gen/vabs-scalar-x4.c", "XNNPACK/wrappers/f32-vunary/gen/vneg-scalar-x4.c", "XNNPACK/wrappers/f32-vunary/gen/vsqr-scalar-x4.c", "XNNPACK/wrappers/qc8-dwconv/gen/up2x9-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qc8-dwconv/gen/up2x25-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qc8-gemm/gen/1x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8-minmax-fp32-neon-mlal-lane.c", "XNNPACK/wrappers/qc8-gemm/gen/2x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qc8-igemm/gen/1x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8-minmax-fp32-neon-mlal-lane.c", "XNNPACK/wrappers/qc8-igemm/gen/2x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-dwconv/gen/up1x9-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-dwconv/gen/up1x25-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-scalar-x4.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7p7x-minmax-fp32-scalar-imagic-c1.c", "XNNPACK/wrappers/qs8-gavgpool/gen/7x-minmax-fp32-scalar-imagic-c1.c", "XNNPACK/wrappers/qs8-gemm/gen/1x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-gemm/gen/2x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-igemm/gen/1x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-igemm/gen/2x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-scalar-x1.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-scalar-x1.c", "XNNPACK/wrappers/qs8-vmul/gen/minmax-fp32-scalar-x4.c", "XNNPACK/wrappers/qs8-vmulc/gen/minmax-fp32-scalar-x4.c", "XNNPACK/wrappers/qu8-avgpool/9p8x-minmax-scalar-c1.c", "XNNPACK/wrappers/qu8-avgpool/9x-minmax-scalar-c1.c", "XNNPACK/wrappers/qu8-dwconv/gen/up1x9-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qu8-dwconv/gen/up1x25-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-scalar-x4.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7p7x-minmax-fp32-scalar-imagic-c1.c", "XNNPACK/wrappers/qu8-gavgpool/gen/7x-minmax-fp32-scalar-imagic-c1.c", "XNNPACK/wrappers/qu8-gemm/gen/1x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qu8-gemm/gen/2x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qu8-igemm/gen/1x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qu8-igemm/gen/2x2-minmax-fp32-scalar-fmagic.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-scalar-x1.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-scalar-x1.c", "XNNPACK/wrappers/qu8-vmul/gen/minmax-fp32-scalar-x4.c", "XNNPACK/wrappers/qu8-vmulc/gen/minmax-fp32-scalar-x4.c", "XNNPACK/wrappers/s8-ibilinear/gen/scalar-c1.c", "XNNPACK/wrappers/s8-maxpool/9p8x-minmax-scalar-c1.c", "XNNPACK/wrappers/s8-vclamp/scalar-x4.c", "XNNPACK/wrappers/u8-ibilinear/gen/scalar-c1.c", "XNNPACK/wrappers/u8-maxpool/9p8x-minmax-scalar-c1.c", "XNNPACK/wrappers/u8-rmax/scalar.c", "XNNPACK/wrappers/u8-vclamp/scalar-x4.c", "XNNPACK/wrappers/xx-fill/scalar-x16.c", "XNNPACK/wrappers/xx-pad/scalar.c", "XNNPACK/wrappers/x8-zip/xm-scalar.c", "XNNPACK/wrappers/x8-zip/x2-scalar.c", "XNNPACK/wrappers/x8-zip/x3-scalar.c", "XNNPACK/wrappers/x8-zip/x4-scalar.c", "XNNPACK/wrappers/x32-packx/x2-scalar.c", "XNNPACK/wrappers/x32-packx/x3-scalar.c", "XNNPACK/wrappers/x32-packx/x4-scalar.c", "XNNPACK/wrappers/x32-unpool/scalar.c", "XNNPACK/wrappers/x32-zip/xm-scalar.c", "XNNPACK/wrappers/x32-zip/x2-scalar.c", "XNNPACK/wrappers/x32-zip/x3-scalar.c", "XNNPACK/wrappers/x32-zip/x4-scalar.c"], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["^(android-armv7|iphoneos-armv7)$", ["-march=armv7-a", "-mfpu=neon", "-mfloat-abi=softfp"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_neon_fma", srcs = ["XNNPACK/wrappers/f32-dwconv/gen/up8x3-minmax-neonfma.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x4-minmax-neonfma.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x9-minmax-neonfma.c", "XNNPACK/wrappers/f32-dwconv/gen/up8x25-minmax-neonfma-acc2.c", "XNNPACK/wrappers/f32-gemm/gen/1x8s4-minmax-neonfma.c", "XNNPACK/wrappers/f32-gemm/gen/6x8s4-minmax-neonfma.c", "XNNPACK/wrappers/f32-ibilinear-chw/gen/neonfma-p8.c", "XNNPACK/wrappers/f32-ibilinear/gen/neonfma-c8.c", "XNNPACK/wrappers/f32-igemm/gen/1x8s4-minmax-neonfma.c", "XNNPACK/wrappers/f32-igemm/gen/6x8s4-minmax-neonfma.c", "XNNPACK/wrappers/f32-raddstoreexpminusmax/gen/neonfma-rr1-lut64-p2-x16.c", "XNNPACK/wrappers/f32-spmm/gen/32x1-minmax-neonfma-pipelined.c", "XNNPACK/wrappers/f32-velu/gen/velu-neonfma-rr1-lut16-p3-x16.c", "XNNPACK/wrappers/f32-velu/gen/velu-neonfma-rr1-p6-x8.c", "XNNPACK/wrappers/f32-vmulcaddc/gen/c4-minmax-neonfma-2x.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-neonfma-rr1-lut64-p2-nr2recps-x16.c"], deps = [":interface", "//third_party:FP16"], exported_deps = [], compiler_flags = ["-w", "-O2"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["arm", ["-mfpu=neon-vfpv4"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_avx2", srcs = [], deps = [":interface"], exported_deps = [], compiler_flags = ["-w", "-O2", "-mavx2", "-mfma", "-mf16c"], preferred_linkage = "static", exported_preprocessor_flags = [], header_namespace = "", headers = subdir_glob([("XNNPACK/src", "**/*.S"), ("XNNPACK/src", "**/*.c"), ("XNNPACK/src", "**/*.h"), ("XNNPACK/include", "**/*.h")]), linker_flags = [], platform_compiler_flags = [["x86", ["-mavx2", "-mfma", "-mf16c"]]], platform_linker_flags = [], platform_preprocessor_flags = [["windows", ["-D_WINDOWS", "-D_WIN32", "-DWIN32", "-DNOMINMAX", "-D_CRT_SECURE_NO_WARNINGS", "-D_USE_MATH_DEFINES"]], ["windows.*64$", ["-D_WIN64"]]], platform_srcs = [["x86|x86_64|platform009", ["XNNPACK/wrappers/f16-gemm/gen/1x16-minmax-avx2-broadcast.c", "XNNPACK/wrappers/f16-gemm/gen/4x16-minmax-avx2-broadcast.c", "XNNPACK/wrappers/f16-igemm/gen/1x16-minmax-avx2-broadcast.c", "XNNPACK/wrappers/f16-igemm/gen/4x16-minmax-avx2-broadcast.c", "XNNPACK/wrappers/f32-qs8-vcvt/gen/vcvt-avx2-x64.c", "XNNPACK/wrappers/f32-qu8-vcvt/gen/vcvt-avx2-x64.c", "XNNPACK/wrappers/f32-velu/gen/velu-avx2-rr1-lut4-p4-perm-x56.c", "XNNPACK/wrappers/f32-vsigmoid/gen/vsigmoid-avx2-rr1-p5-div-x40.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x9-minmax-fp32-avx2-mul32.c", "XNNPACK/wrappers/qc8-dwconv/gen/up16x25-minmax-fp32-avx2-mul32.c", "XNNPACK/wrappers/qc8-gemm/gen/1x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qc8-gemm/gen/3x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qc8-igemm/gen/1x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qc8-igemm/gen/3x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x9-minmax-fp32-avx2-mul32.c", "XNNPACK/wrappers/qs8-dwconv/gen/up16x25-minmax-fp32-avx2-mul32.c", "XNNPACK/wrappers/qs8-f32-vcvt/gen/vcvt-avx2-x16.c", "XNNPACK/wrappers/qs8-gemm/gen/1x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qs8-gemm/gen/3x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qs8-igemm/gen/1x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qs8-igemm/gen/3x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qs8-vadd/gen/minmax-avx2-mul32-ld64-x16.c", "XNNPACK/wrappers/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x16.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x9-minmax-fp32-avx2-mul32.c", "XNNPACK/wrappers/qu8-dwconv/gen/up16x25-minmax-fp32-avx2-mul32.c", "XNNPACK/wrappers/qu8-f32-vcvt/gen/vcvt-avx2-x16.c", "XNNPACK/wrappers/qu8-gemm/gen/1x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qu8-gemm/gen/3x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qu8-igemm/gen/1x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qu8-igemm/gen/3x8c8-minmax-fp32-avx2.c", "XNNPACK/wrappers/qu8-vadd/gen/minmax-avx2-mul32-ld64-x16.c", "XNNPACK/wrappers/qu8-vaddc/gen/minmax-avx2-mul32-ld64-x16.c", "XNNPACK/wrappers/x8-lut/gen/lut-avx2-x128.c"]]], preprocessor_flags = ["-DXNN_LOG_LEVEL=0"], soname = "", visibility = ["PUBLIC"], ) cxx_library( name = "ukernels_asm_aarch64", srcs = ["XNNPACK/wrappers/f16-gemm/gen-inc/1x8inc-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen-inc/1x16inc-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f16-gemm/gen-inc/4x8inc-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen-inc/4x16inc-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f16-gemm/gen-inc/6x8inc-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen-inc/6x16inc-minmax-aarch64-neonfp16arith-cortex-a55.S", "XNNPACK/wrappers/f16-gemm/gen-inc/6x16inc-minmax-aarch64-neonfp16arith-cortex-a75.S", "XNNPACK/wrappers/f16-gemm/gen-inc/6x16inc-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f16-gemm/gen-inc/8x8inc-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen/1x8-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen/1x16-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f16-gemm/gen/4x8-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen/4x16-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f16-gemm/gen/6x8-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-gemm/gen/6x16-minmax-aarch64-neonfp16arith-cortex-a55.S", "XNNPACK/wrappers/f16-gemm/gen/6x16-minmax-aarch64-neonfp16arith-cortex-a75.S", "XNNPACK/wrappers/f16-gemm/gen/6x16-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f16-gemm/gen/8x8-minmax-aarch64-neonfp16arith-ld64.S", "XNNPACK/wrappers/f16-igemm/4x16-minmax-aarch64-neonfp16arith-ld32.S", "XNNPACK/wrappers/f32-dwconv/up4x9-minmax-aarch64-neonfma-cortex-a55.S", "XNNPACK/wrappers/f32-dwconv/up4x9-minmax-aarch64-neonfma.S", "XNNPACK/wrappers/f32-gemm/gen-inc/1x8inc-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen-inc/1x8inc-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/1x8inc-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-gemm/gen-inc/1x8inc-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/1x12inc-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x8inc-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x8inc-minmax-aarch64-neonfma-cortex-a55.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x8inc-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x8inc-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x8inc-minmax-aarch64-neonfma-ld128.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x8inc-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/4x12inc-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen-inc/5x8inc-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/5x8inc-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-cortex-a55.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-cortex-a73.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-ld128.S", "XNNPACK/wrappers/f32-gemm/gen-inc/6x8inc-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-gemm/gen/1x8-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen/1x12-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch64-neonfma-cortex-a55.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch64-neonfma-ld128.S", "XNNPACK/wrappers/f32-gemm/gen/4x8-minmax-aarch64-neonfma-prfm-cortex-a53.S", 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"XNNPACK/wrappers/f32-igemm/gen/1x8-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch64-neonfma-ld128.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch64-neonfma-prfm-cortex-a53.S", "XNNPACK/wrappers/f32-igemm/gen/4x8-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/5x8-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/5x8-minmax-aarch64-neonfma-prfm-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/6x8-minmax-aarch64-neonfma-cortex-a53.S", "XNNPACK/wrappers/f32-igemm/gen/6x8-minmax-aarch64-neonfma-cortex-a75.S", "XNNPACK/wrappers/f32-igemm/gen/6x8-minmax-aarch64-neonfma-ld64.S", "XNNPACK/wrappers/f32-igemm/gen/6x8-minmax-aarch64-neonfma-ld128.S", 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from collections import namedtuple CharDump = namedtuple("CharDump", ["idx", "decoded"]) char_list = [ CharDump( idx=0x47, decoded=[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] ), CharDump( idx=0x0103, decoded=[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] ) ] decode_dump = {4081739: bytearray(b'\x02\x01\x7f\xf8H"~\xf9\\pj\xaaO\xe0O\xe0I O\xe0D\x88\x98\xf8\x00'), 4077039: bytearray(b'\x00\x00\x00\x01\x00\x02\x00\x00\x00\x03\x00\x02\x07`0`0c0`\x18\xe0\x07c\x00')}

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reinforcementdriving/disprcnn

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disprcnn/data/datasets/evaluation/kitti/__init__.py

reinforcementdriving/disprcnn

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disprcnn/data/datasets/evaluation/kitti/__init__.py

reinforcementdriving/disprcnn

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2020-04-08T09:47:32.000Z

2022-01-18T08:19:46.000Z

from .kitti_eval import do_kitti_evaluation, do_kitti_pedestrian_evaluation, do_kitti_cyclist_evaluation def kitti_evaluation( dataset, left_predictions, right_predictions, output_folder, class2type, box_only, iou_types, expected_results, expected_results_sigma_tol, eval_bbox3d, ): return do_kitti_evaluation( dataset=dataset, left_predictions=left_predictions, right_predictions=right_predictions, box_only=box_only, output_folder=output_folder, class2type=class2type, iou_types=iou_types, expected_results=expected_results, expected_results_sigma_tol=expected_results_sigma_tol, eval_bbox3d=eval_bbox3d, ) def kitti_pedestrian_evaluation( dataset, left_predictions, right_predictions, output_folder, class2type, box_only, iou_types, expected_results, expected_results_sigma_tol, eval_bbox3d, ): return do_kitti_pedestrian_evaluation( dataset=dataset, left_predictions=left_predictions, right_predictions=right_predictions, box_only=box_only, output_folder=output_folder, class2type=class2type, iou_types=iou_types, expected_results=expected_results, expected_results_sigma_tol=expected_results_sigma_tol, eval_bbox3d=eval_bbox3d, ) def kitti_cyclist_evaluation( dataset, left_predictions, right_predictions, output_folder, class2type, box_only, iou_types, expected_results, expected_results_sigma_tol, eval_bbox3d, ): return do_kitti_cyclist_evaluation( dataset=dataset, left_predictions=left_predictions, right_predictions=right_predictions, box_only=box_only, output_folder=output_folder, class2type=class2type, iou_types=iou_types, expected_results=expected_results, expected_results_sigma_tol=expected_results_sigma_tol, eval_bbox3d=eval_bbox3d, )

28.077922

104

0.676688

220

2,162

6.140909

0.118182

0.199852

0.179867

0.199852

0.904515

0

0.011458

0.273358

2,162

77

105

28.077922

0.848504

0

0.863014

0

1

0.041096

false

0

0.013699

0.041096

0.09589

0

null

0

1

0

1

0

null

0

8

49d722c7195a8052c20789c9a13960c38909a5c4

109

py

Python

modelscript/scripts/permissions/all.py

ScribesZone/ModelScribes

a36be1047283f2e470dc2dd4353f2a714377bb7d

[ "MIT" ]

1

2019-02-22T14:27:06.000Z

modelscript/scripts/permissions/all.py

ScribesZone/ModelScribes

a36be1047283f2e470dc2dd4353f2a714377bb7d

[ "MIT" ]

4

2019-02-12T07:49:15.000Z

2019-02-12T07:50:12.000Z

modelscript/scripts/permissions/all.py

ScribesZone/ModelScribes

a36be1047283f2e470dc2dd4353f2a714377bb7d

[ "MIT" ]

null

# coding=utf-8 import modelscript.scripts.permissions.parser import modelscript.scripts.permissions.printer

21.8

46

0.853211

13

109

7.153846

0.692308

0.365591

0.516129

0.752688

0

0.009804

0.06422

109

4

47

27.25

0.901961

0.110092

0

1

0

true

0

1

0

1

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

3fa6717441a414c32d80f1902de7103a037d1876

243

py

Python

abupy/SlippageBu/ABuSlippage.py

luqin/firefly

2e5ab17f2d20deb3c68c927f6208ea89db7c639d

[ "MIT" ]

1

2019-05-28T05:54:42.000Z

abupy/SlippageBu/ABuSlippage.py

momantang/cobrass

f11435d4836aa29078a3cd4beb4ca88967300c84

[ "Apache-2.0" ]

9

2020-03-24T16:45:25.000Z

2022-03-11T23:40:51.000Z

abupy/SlippageBu/ABuSlippage.py

luqin/firefly

2e5ab17f2d20deb3c68c927f6208ea89db7c639d

[ "MIT" ]

1

2021-09-08T17:39:58.000Z

# -*- encoding:utf-8 -*- from __future__ import absolute_import # noinspection all from . import ABuSlippageBuyBase as sbb # noinspection all from . import ABuSlippageSellBase as ssb # noinspection all from . import ABuSlippageBuyMean as sbm

24.3

40

0.790123

29

243

6.448276

0.551724

0.240642

0.304813

0.40107

0

0.004831

0.148148

243

9

41

27

0.898551

0.300412

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

3fdef1f25f3ca49155c8a720d4d58b13959c6c9f

17,127

py

Python

backend/webapp/api/discounts_views.py

MarcoLagalla/marette_backend

d01458028da151d6ee583a080b1146792e81f01b

[ "MIT" ]

1

2020-06-26T14:34:03.000Z

backend/webapp/api/discounts_views.py

MarcoLagalla/marette_backend

d01458028da151d6ee583a080b1146792e81f01b

[ "MIT" ]

26

2020-06-12T14:36:59.000Z

2020-07-10T08:39:53.000Z

backend/webapp/api/discounts_views.py

MarcoLagalla/marette_backend

d01458028da151d6ee583a080b1146792e81f01b

[ "MIT" ]

null

import json from django.db import transaction from rest_framework import status from rest_framework.authentication import SessionAuthentication, TokenAuthentication from rest_framework.authtoken.models import Token from rest_framework.permissions import IsAuthenticated, AllowAny from rest_framework.response import Response from rest_framework.views import APIView from backend.account.permissions import IsBusiness, BusinessActivated from .products_serializers import ProductDiscountSerializer from .serializers import RestaurantDiscountSerializer from ..models.models import Restaurant, Product, ProductDiscount, RestaurantDiscount class ListDiscounts(APIView): def get(self, request, id): restaurant_id = id try: restaurant = Restaurant.objects.all().get(id=restaurant_id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) discounts = ProductDiscount.objects.filter(restaurant=restaurant) serializer = ProductDiscountSerializer(discounts, many=True) return Response(serializer.data, status=status.HTTP_200_OK) class DetailsDiscounts(APIView): permission_classes = [AllowAny] def get(self, request, id, d_id): try: discount = ProductDiscount.objects.all().filter(restaurant_id=id).get(id=d_id) except ProductDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) serializer = ProductDiscountSerializer(discount) return Response(serializer.data, status=status.HTTP_200_OK) class AddDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id): # verifico che l'utente sia il proprietario del ristorante try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key: # utente loggato con token giusto # cerco un ristorante con l'id richiesto e verifico la paternità try: restaurant = Restaurant.objects.all().get(id=id) # verifico che sia proprietario del ristorante if restaurant.owner.user == request.user: # è il proprietario, può aggiungere un discount serializer = ProductDiscountSerializer(data=request.data) if serializer.is_valid(): discount = serializer.save(restaurant) ret_data = ProductDiscountSerializer(instance=discount) return Response(ret_data.data, status=status.HTTP_201_CREATED) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) else: return Response(status=status.HTTP_401_UNAUTHORIZED) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) class EditDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id, d_id): # verifico che l'utente sia il proprietario del ristorante try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key: # utente loggato con token giusto # cerco un ristorante con l'id richiesto e verifico la paternità try: restaurant = Restaurant.objects.all().get(id=id) # verifico che sia proprietario del ristorante if restaurant.owner.user == request.user: # verifico che il discount prod sia del mio ristorante try: discount = ProductDiscount.objects.all() \ .filter(restaurant=restaurant).get(id=d_id) if discount: serializer = ProductDiscountSerializer(data=request.data) if serializer.is_valid(): for key in serializer.validated_data: setattr(discount, key, serializer.validated_data[key]) discount.restaurant = restaurant discount.save() return Response(status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) except ProductDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) class DeleteDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id, d_id): # verifico che l'utente sia il proprietario del ristorante try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key: # utente loggato con token giusto # cerco un ristorante con l'id richiesto e verifico la paternità try: restaurant = Restaurant.objects.all().get(id=id) # verifico che sia proprietario del ristorante if restaurant.owner.user == request.user: # verifico che il discount prod sia del mio ristorante try: discount = ProductDiscount.objects.all() \ .filter(restaurant=restaurant).get(id=d_id) if discount: discount.delete() return Response(status=status.HTTP_200_OK) except ProductDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) class AddRestaurantDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id): # verifico che l'utente sia il proprietario del ristorante try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key: # utente loggato con token giusto # cerco un ristorante con l'id richiesto e verifico la paternità try: restaurant = Restaurant.objects.all().get(id=id) # verifico che sia proprietario del ristorante if restaurant.owner.user == request.user: # creo il discount serializer = RestaurantDiscountSerializer(data=request.data) if serializer.is_valid(): serializer.save(restaurant) return Response(status=status.HTTP_201_CREATED) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) else: return Response(status=status.HTTP_401_UNAUTHORIZED) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) class ListRestaurantDiscounts(APIView): def get(self, request, id): try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: discounts = RestaurantDiscount.objects.all().filter(restaurant=restaurant) except RestaurantDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) serializer = RestaurantDiscountSerializer(discounts, many=True) return Response(serializer.data, status=status.HTTP_200_OK) class DetailsRestaurantDiscounts(APIView): def get(self, request, id, d_id): try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: discounts = RestaurantDiscount.objects.all().filter(restaurant=restaurant).get(id=d_id) except RestaurantDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) serializer = RestaurantDiscountSerializer(discounts) return Response(serializer.data, status=status.HTTP_200_OK) class EditRestaurantDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id, d_id): # verifico che l'utente sia il proprietario del ristorante try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key: # utente loggato con token giusto # cerco un ristorante con l'id richiesto e verifico la paternità try: restaurant = Restaurant.objects.all().get(id=id) # verifico che sia proprietario del ristorante if restaurant.owner.user == request.user: try: discount = ProductDiscount.objects.all() \ .filter(restaurant=restaurant).get(id=d_id) if discount: serializer = RestaurantDiscountSerializer(data=request.data) if serializer.is_valid(): for key in serializer.validated_data: setattr(discount, key, serializer.validated_data[key]) discount.restaurant = restaurant discount.save() return Response(status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) except ProductDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) class DeleteRestaurantDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id, d_id): # verifico che l'utente sia il proprietario del ristorante try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key: # utente loggato con token giusto # cerco un ristorante con l'id richiesto e verifico la paternità try: restaurant = Restaurant.objects.all().get(id=id) # verifico che sia proprietario del ristorante if restaurant.owner.user == request.user: # verifico che il prodotto sia un prodotto del mio ristorante try: discount = RestaurantDiscount.objects.all() \ .filter(restaurant=restaurant).get(id=d_id) if discount: discount.delete() return Response(status=status.HTTP_200_OK) except RestaurantDiscount.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) else: return Response(status=status.HTTP_401_UNAUTHORIZED) class SetDiscounts(APIView): authentication_classes = [SessionAuthentication, TokenAuthentication] permission_classes = [IsAuthenticated, IsBusiness, BusinessActivated] @transaction.atomic() def post(self, request, id, p_id): try: restaurant = Restaurant.objects.all().get(id=id) except Restaurant.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: token = Token.objects.all().get(user=restaurant.owner.user).key except Token.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) try: product = Product.objects.all().filter(restaurant=restaurant).get(id=p_id) except Product.DoesNotExist: return Response(status=status.HTTP_404_NOT_FOUND) if token == request.user.auth_token.key and request.user == restaurant.owner.user: try: data = request.data except json.JSONDecodeError as err: return Response(err, status=status.HTTP_400_BAD_REQUEST) for id in data['discounts']: try: ProductDiscount.objects.get(id=id) except ProductDiscount.DoesNotExist: return Response(status=status.HTTP_400_BAD_REQUEST) product.discounts.clear() for id in data['discounts']: try: discount = ProductDiscount.objects.all().filter(restaurant=restaurant).get(id=id) product.discounts.add(discount) except ProductDiscount.DoesNotExist: return Response({'error': 'Sconto Non Esistente'},status=status.HTTP_404_NOT_FOUND) product.save() data = {'final_price': product.get_price_with_discount(), 'message': 'Sconto Aggiunto correttamente'} return Response(data, status=status.HTTP_201_CREATED) else: return Response({'error': 'Accesso Non Autorizzato'}, status=status.HTTP_401_UNAUTHORIZED)

40.298824

103

0.615344

1,660

17,127

6.21506

0.08494

0.084133

0.096152

0.123486

0.856451

0.844335

0.827954

0.81923

0.810992

0.799457

0

0.0158

0.312664

17,127

424

104

40.393868

0.860601

0.082326

0

0.804054

0

0.007525

0

1

0.037162

false

0

0.040541

0

0.375

0

null

0

1

0

1

0

null

0

7

b763f17380a0631b74125d981a1921262b6f5fa6

146

py

Python

control/paths/__init__.py

BrancoLab/LocomotionControl

6dc16c29c13b31f6ad70af954a237e379ee10846

[ "MIT" ]

null

control/paths/__init__.py

BrancoLab/LocomotionControl

6dc16c29c13b31f6ad70af954a237e379ee10846

[ "MIT" ]

2

2020-11-23T16:32:11.000Z

control/paths/__init__.py

BrancoLab/LocomotionControl

6dc16c29c13b31f6ad70af954a237e379ee10846

[ "MIT" ]

null

from control.paths.bspline import BSpline from control.paths.dubins_path import DubinPath from control.paths.waypoints import Waypoints, Waypoint

36.5

55

0.863014

20

146

6.25

0.5

0.264

0.384

0

0.089041

146

3

56

48.666667

0.93985

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b76f6942d6e6e380894625c80b5902585222d78a

16,554

py

Python

simplepbi/dashboards/__init__.py

ladataweb/SimplePBI

b9743bbb75517edda7eeea1388ab109cc8599c7c

[ "MIT" ]

null

simplepbi/dashboards/__init__.py

ladataweb/SimplePBI

b9743bbb75517edda7eeea1388ab109cc8599c7c

[ "MIT" ]

null

simplepbi/dashboards/__init__.py

ladataweb/SimplePBI

b9743bbb75517edda7eeea1388ab109cc8599c7c

[ "MIT" ]

null

''' /¯¯¯¯¯¯¯¯¯\ / \ | | __ | ********************************************* | | | \ | Code writen by Ignacio and Martin. | | | | | | |__|_ | | La Data Web | |__/ | ********************************************* \ / \__________/ ''' import json import requests from simplepbi import utils import pandas as pd class Dashboards(): """Simple library to use the Power BI api and obtain dashboards from it. """ def __init__(self, token): """Create a simplePBI object to request admin API Args: token: String Bearer Token to use the Power Bi Rest API """ self.token = token def get_dashboard(self, dashboard_id): """Returns the specified dashboard from My workspace. ### Parameters ---- dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a dashboard in My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/dashboards/{}".format(dashboard_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_dashboard_in_group(self, workspace_id, dashboard_id): """Returns the specified dashboard from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing a dashboard in the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/dashboards/{}".format(workspace_id, dashboard_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_dashboards(self): """Returns a list of dashboards from My workspace. ### Parameters ---- None ### Returns ---- Dict: A dictionary containing all the dashboards in My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/dashboards" res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_dashboards_in_group(self, workspace_id): """Returns a list of dashboards from the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the dashboards in the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/dashboards".format(workspace_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_tile(self, dashboard_id, tile_id): """Returns the specified tile within the specified dashboard from My workspace. Supported tiles include datasets and live tiles that contain an entire report page. ### Parameters ---- dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL tile_id: str uuid The tile id ### Returns ---- Dict: A dictionary containing a tile in dashboard from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/dashboards/{}/tiles/{}".format(dashboard_id, tile_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_tile_in_group(self, workspace_id, dashboard_id, tile_id): """Returns the specified tile within the specified dashboard from the specified workspace. Supported tiles include datasets and live tiles that contain an entire report page. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL tile_id: str The tile id ### Returns ---- Dict: A dictionary containing a tile in a dashboard from the workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/dashboards/{}/tiles/{}".format(workspace_id, dashboard_id, tile_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_tiles(self, dashboard_id): """Returns a list of tiles within the specified dashboard from My workspace. Supported tiles include datasets and live tiles that contain an entire report page. ### Parameters ---- dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the tiles in a dashboard from My workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/dashboards/{}/tiles".format(dashboard_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def get_tiles_in_group(self, workspace_id, dashboard_id): """Returns a list of tiles within the specified dashboard from the specified workspace. Supported tiles include datasets and live tiles that contain an entire report page. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL ### Returns ---- Dict: A dictionary containing all the tiles in a dashboard from a workspace. """ try: url = "https://api.powerbi.com/v1.0/myorg/groups/{}/dashboards/{}/tiles".format(workspace_id, dashboard_id) res = requests.get(url, headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)}) res.raise_for_status() return res.json() except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def clone_tile_in_dashboard(self, dashboard_id, tile_id, target_dashboard_id, target_dataset_id = None, target_report_id = None, target_workspace_id = None): """Clones the specified tile from My workspace. When a tile is cloned to another workspace and bound to another report and dataset, it's cloned as is with its underlying query containing the original report filters. If the target report ID and target dataset are missing, errors can occur. ### Parameters ---- dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL tile_id: str The tile id ### Request Body ---- target_dashboard_id: str The target dashboard ID target_dataset_id: str uuid (Optional) A parameter for specifying a target model ID. When cloning a tile linked to a dataset, pass the target model ID to rebind the new tile to a different dataset. target_report_id: str uuid (Optional) A parameter for specifying a target report ID. When cloning a tile linked to a report, pass the target report ID to rebind the new tile to a different report. target_workspace_id: str uuid (Optional) A parameter for specifying a target workspace ID. An empty GUID (00000000-0000-0000-0000-000000000000) indicates 'My Workspace'. If this parameter isn't provided, the tile will be cloned within the same workspace as the source tile. ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/dashboards/{}/tiles/{}/Clone".format(dashboard_id, tile_id) body = { "targetDashboardId": target_dashboard_id } if target_report_id != None: body["targetReportId"]=target_report_id if target_dataset_id != None: body["targetModelId"]=target_dataset_id if target_workspace_id != None: body["targetWorkspaceId"] = target_workspace_id headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def clone_tile_in_dashboard_in_group(self, workspace_id, dashboard_id, tile_id, target_dashboard_id, target_dataset_id = None, target_report_id = None, target_workspace_id = None): """Clones the specified tile from the specified workspace. When a tile is cloned to another workspace and bound to another report and dataset, it's cloned as is with its underlying query containing the original report filters. If the target report ID and target dataset are missing, errors can occur. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL dashboard_id: str uuid The Power Bi dashboard id. You can take it from PBI Service URL tile_id: str The tile id ### Request Body ---- target_dashboard_id: str The target dashboard ID target_dataset_id: str uuid (Optional) A parameter for specifying a target model ID. When cloning a tile linked to a dataset, pass the target model ID to rebind the new tile to a different dataset. target_report_id: str uuid (Optional) A parameter for specifying a target report ID. When cloning a tile linked to a report, pass the target report ID to rebind the new tile to a different report. target_workspace_id: str uuid (Optional) A parameter for specifying a target workspace ID. An empty GUID (00000000-0000-0000-0000-000000000000) indicates 'My Workspace'. If this parameter isn't provided, the tile will be cloned within the same workspace as the source tile. ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/dashboards/{}/tiles/{}/Clone".format(workspace_id, dashboard_id, tile_id) body = { "targetDashboardId": target_dashboard_id } if target_report_id != None: body["targetReportId"]=target_report_id if target_dataset_id != None: body["targetModelId"]=target_dataset_id if target_workspace_id != None: body["targetWorkspaceId"] = target_workspace_id headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def add_dashboard(self, workspace_name): """Creates a new empty dashboard in My workspace. ### Parameters ---- None ### Request Body ---- workspace_name: str The name of the new dashboard ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/dashboards" body = { "name": workspace_name } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e) def add_dashboard_in_group(self, workspace_id, workspace_name): """Creates a new empty dashboard in the specified workspace. ### Parameters ---- workspace_id: str uuid The Power Bi workspace id. You can take it from PBI Service URL ### Request Body ---- workspace_name: str The name of the new dashboard ### Returns ---- Response object from requests library. 200 OK """ try: url= "https://api.powerbi.com/v1.0/myorg/groups/{}/dashboards".format(workspace_id) body = { "name": workspace_name } headers={'Content-Type': 'application/json', "Authorization": "Bearer {}".format(self.token)} res = requests.post(url, data = json.dumps(body), headers = headers) res.raise_for_status() return res except requests.exceptions.HTTPError as ex: print("HTTP Error: ", ex, "\nText: ", ex.response.text) except requests.exceptions.RequestException as e: print("Request exception: ", e)

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1

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null

0

7

b77f5d97a9b80990fe7d6295b4158f7230745dc0

1,406

py

Python

thelper/nn/segmentation/deeplabv3.py

fmigneault/thelper

9e45e45d33ed0bf25ead272fdac61a4e81735d25

[ "Apache-2.0" ]

null

thelper/nn/segmentation/deeplabv3.py

fmigneault/thelper

9e45e45d33ed0bf25ead272fdac61a4e81735d25

[ "Apache-2.0" ]

null

thelper/nn/segmentation/deeplabv3.py

fmigneault/thelper

9e45e45d33ed0bf25ead272fdac61a4e81735d25

[ "Apache-2.0" ]

null

import torchvision import thelper.nn.segmentation.base class DeepLabV3ResNet50(thelper.nn.segmentation.base.SegmModelBase): """ This class is a thin wrapper for :func:`torchvision.models.segmentation.deeplabv3_resnet101` (``torchvision > 0.6``). .. note:: Contributed by Mario Beaulieu <mario.beaulieu@crim.ca>. .. seealso:: | Liang-Chieh et al., `Rethinking Atrous Convolution for Semantic Image Segmentation <https://arxiv.org/abs/1706.05587>`_ [arXiv], 2017. """ def __init__(self, task, pretrained=False): self.model_cls = torchvision.models.segmentation.deeplabv3_resnet50 self.in_channels = 256 super().__init__(task, pretrained=pretrained) class DeepLabV3ResNet101(thelper.nn.segmentation.base.SegmModelBase): """ This class is a thin wrapper for :func:`torchvision.models.segmentation.deeplabv3_resnet101` (``torchvision > 0.6``). .. note:: Contributed by Mario Beaulieu <mario.beaulieu@crim.ca>. .. seealso:: | Liang-Chieh et al., `Rethinking Atrous Convolution for Semantic Image Segmentation <https://arxiv.org/abs/1706.05587>`_ [arXiv], 2017. """ def __init__(self, task, pretrained=False): self.model_cls = torchvision.models.segmentation.deeplabv3_resnet101 self.in_channels = 256 super().__init__(task, pretrained=pretrained)

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null

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b78bf300e4deb09ebd8b32f3088de11f1acf698f

22,535

py

Python

tests/test_maze.py

pji/imggen

173bd9e6aeba208d1e0f1ef74857c0d6d28530c7

[ "MIT" ]

null

tests/test_maze.py

pji/imggen

173bd9e6aeba208d1e0f1ef74857c0d6d28530c7

[ "MIT" ]

null

tests/test_maze.py

pji/imggen

173bd9e6aeba208d1e0f1ef74857c0d6d28530c7

[ "MIT" ]

null

""" test_maze ~~~~~~~~~~ Unit tests for the imggen.maze module. """ import numpy as np from imggen import maze as m from tests.common import SourceTestCase # Test cases. class MazeTestCase(SourceTestCase): def test_maze_fill(self): """When given the size of an array, return an array of that size filled with a maze. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.Maze kwargs = { 'width': .34, 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) def test_maze_fill_origin_br_zero_inset(self): """When given that the origin should be in the middle of the fill, the maze's path should start being drawn from the bottom right of the fill. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0xff, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0xff, 0xff], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff], ], ], dtype=np.uint8) # Test data and state. cls = m.Maze kwargs = { 'width': .34, 'inset': (0, 0, 0), 'origin': 'br', 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) def test_maze_fill_origin_mm_zero_inset(self): """When given that the origin should be in the middle of the fill, the maze's path should start being drawn from the middle of the fill. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0xff, 0xff], ], ], dtype=np.uint8) # Test data and state. cls = m.Maze kwargs = { 'width': .34, 'inset': (0, 0, 0), 'origin': 'mm', 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) def test_maze_fill_origin_tl_zero_inset(self): """When given that the origin should be in the middle of the fill, the maze's path should start being drawn from the top left of the fill. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0xff, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0xff, 0xff], [0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0xff], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff], ], ], dtype=np.uint8) # Test data and state. cls = m.Maze kwargs = { 'width': .34, 'inset': (0, 0, 0), 'origin': 'tl', 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) class AnimatedMazeTestCase(SourceTestCase): def test_animatedmaze_fill(self): """When given the size of an array, return an array of that size filled with the animation of a maze being created. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.AnimatedMaze kwargs = { 'width': .34, 'inset': (0, 1, 1), 'unit': (1, 3, 3), 'origin': 'mm', 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) def test_animatedmaze_fill_with_delay(self): """If a delay is given, add that number of empty frames at the beginning of the image data. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.AnimatedMaze kwargs = { 'delay': 2, 'width': .34, 'inset': (0, 1, 1), 'unit': (1, 3, 3), 'origin': 'mm', 'seed': 'spam', } size = (4, 9, 9) # Run test and determine result. self.maxDiff = None self.fill_test(exp, cls, kwargs, size) def test_animatedmaze_fill_with_linger(self): """If a linger is given, add that number of copies of the last frame at the end of the image data. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.AnimatedMaze kwargs = { 'linger': 2, 'width': .34, 'inset': (0, 1, 1), 'unit': (1, 3, 3), 'origin': 'mm', 'seed': 'spam', } size = (4, 9, 9) # Run test and determine result. self.maxDiff = None self.fill_test(exp, cls, kwargs, size) class SolvedMazeTestCase(SourceTestCase): def test_maze_fill(self): """When given the size of an array, return an array of that size filled with the solution for a maze. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.SolvedMaze kwargs = { 'width': .34, 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) def test_maze_fill_with_end(self): """When given a end location, end the maze solution in that location in the maze. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.SolvedMaze kwargs = { 'end': 'bl', 'width': .34, 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs) def test_maze_fill_with_start(self): """When given a start location, begin the maze solution in that location in the maze. """ # Expected value. exp = np.array([ [ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], ], ], dtype=np.uint8) # Test data and state. cls = m.SolvedMaze kwargs = { 'start': 'bl', 'width': .34, 'unit': (1, 3, 3), 'seed': 'spam', } # Run test and determine result. self.fill_test(exp, cls, kwargs)

45.342052

77

0.483781

2,708

22,535

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0.038405

1.076398

1.497374

1.860842

0.957239

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0

0.373182

0.374529

22,535

496

78

45.433468

0.396665

0.080053

0

0.857143

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0.013252

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0.02551

false

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0.040816

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null

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b793bfcce05b4ee2c76c0e50d89624c65b7b3ff8

3,862

py

Python

munactives/migrations/0001_initial.py

VaJau2/MunactivesMap-Django

3fee9f77de8a73244cc85e38786cf3860214daf4

[ "MIT" ]

null

munactives/migrations/0001_initial.py

VaJau2/MunactivesMap-Django

3fee9f77de8a73244cc85e38786cf3860214daf4

[ "MIT" ]

1

2020-04-07T14:29:11.000Z

munactives/migrations/0001_initial.py

VaJau2/MunactivesMap-Django

3fee9f77de8a73244cc85e38786cf3860214daf4

[ "MIT" ]

null

# Generated by Django 3.0.3 on 2020-02-09 10:48 import django.contrib.gis.db.models.fields from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='munitipal_land', fields=[ ('id', models.IntegerField(primary_key=True, serialize=False)), ('name', models.CharField(max_length=100)), ('purpose', models.TextField()), ('holder', models.TextField()), ('square', models.FloatField()), ('describe', models.TextField()), ('coordinates', django.contrib.gis.db.models.fields.PolygonField(srid=4326)), ('holder_num', models.IntegerField()), ], ), migrations.CreateModel( name='spr_type_company', fields=[ ('type', models.CharField(max_length=50, primary_key=True, serialize=False)), ('description', models.TextField()), ], ), migrations.CreateModel( name='spr_type_foundation', fields=[ ('type', models.CharField(max_length=50, primary_key=True, serialize=False)), ('description', models.TextField()), ('purpose', models.TextField()), ], ), migrations.CreateModel( name='spr_type_stock', fields=[ ('type', models.CharField(max_length=50, primary_key=True, serialize=False)), ('description', models.TextField()), ], ), migrations.CreateModel( name='housing_stock', fields=[ ('id', models.IntegerField(primary_key=True, serialize=False)), ('address', models.TextField()), ('holder', models.TextField()), ('square', models.FloatField()), ('describe', models.TextField()), ('coordinates', django.contrib.gis.db.models.fields.PointField(srid=4326)), ('floors', models.IntegerField()), ('holder_num', models.IntegerField()), ('type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='munactives.spr_type_stock')), ], ), migrations.CreateModel( name='foundation', fields=[ ('id', models.IntegerField(primary_key=True, serialize=False)), ('name', models.CharField(max_length=100)), ('address', models.TextField()), ('holder', models.TextField()), ('square', models.FloatField()), ('describe', models.TextField()), ('coordinates', django.contrib.gis.db.models.fields.PointField(srid=4326)), ('holder_num', models.IntegerField()), ('type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='munactives.spr_type_foundation')), ], ), migrations.CreateModel( name='company', fields=[ ('id', models.IntegerField(primary_key=True, serialize=False)), ('name', models.CharField(max_length=100)), ('address', models.TextField()), ('holder', models.TextField()), ('square', models.FloatField()), ('describe', models.TextField()), ('coordinates', django.contrib.gis.db.models.fields.PointField(srid=4326)), ('holder_num', models.IntegerField()), ('type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='munactives.spr_type_company')), ], ), ]

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null

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8

b7c4413967cd896ba74b1a3094e30c437d69b384

7,904

py

Python

tests/test_xero_api_purchase_orders.py

aracnid/i-xero2

449bb8bccb9e76935cedc49eff776bb8804d756b

[ "MIT" ]

null

tests/test_xero_api_purchase_orders.py

aracnid/i-xero2

449bb8bccb9e76935cedc49eff776bb8804d756b

[ "MIT" ]

null

tests/test_xero_api_purchase_orders.py

aracnid/i-xero2

449bb8bccb9e76935cedc49eff776bb8804d756b

[ "MIT" ]

null

"""Tests Xero API PurchaseOrders. """ from datetime import datetime, date, timedelta from xero_python.accounting import Contact from xero_python.accounting import LineItem from xero_python.accounting import PurchaseOrder from xero_python.exceptions import NotFoundException from i_xero2 import XeroInterface import pytest @pytest.fixture(name='xero') def fixture_xero_interface(): """Pytest fixture to initialize and return the XeroInterface object. """ return XeroInterface() def test_create_purchase_orders(xero): date_value = datetime.now().astimezone() contact = Contact( contact_id = 'c7127731-d324-4e26-a03e-854ce9a3a269') line_item = LineItem( description = "Foobar", quantity = 1.0, unit_amount = 20.0, account_code = '000' ) line_items = [] line_items.append(line_item) purchase_order = PurchaseOrder( contact = contact, date = date_value, line_items = line_items, reference = "test_create_purchase_orders()", status = "DRAFT") purchase_order_list_created = xero.create_purchase_orders( purchase_order_list=[purchase_order] ) assert purchase_order_list_created assert len(purchase_order_list_created) == 1 def test_read_purchase_order_by_id(xero): purchase_order_number = 'PO-0001' purchase_order_id = '818032de-c60f-4bf6-98d5-b74df380e1d2' purchase_order = xero.read_purchase_orders(id=purchase_order_id) assert purchase_order.purchase_order_id == purchase_order_id assert purchase_order.purchase_order_number == purchase_order_number def test_read_purchase_order_by_number(xero): purchase_order_number = 'PO-0001' purchase_order_id = '818032de-c60f-4bf6-98d5-b74df380e1d2' purchase_order = xero.read_purchase_orders(number=purchase_order_number) assert purchase_order.purchase_order_id == purchase_order_id assert purchase_order.purchase_order_number == purchase_order_number def test_read_purchase_order_by_number_indirect(xero): purchase_order_number = 'PO-0001' purchase_order_id = '818032de-c60f-4bf6-98d5-b74df380e1d2' purchase_order = xero.read_purchase_orders_indirect(number=purchase_order_number) assert purchase_order.purchase_order_id == purchase_order_id assert purchase_order.purchase_order_number == purchase_order_number def test_read_purchase_order_by_number_indirect_on_exception(xero, monkeypatch): # create monkeypatch def mock_get_purchase_order_by_number(*args, **kwargs): raise NotFoundException monkeypatch.setattr(xero.accounting_api, 'get_purchase_order_by_number', mock_get_purchase_order_by_number) purchase_order_number = 'PO-0001' purchase_order_id = '818032de-c60f-4bf6-98d5-b74df380e1d2' purchase_order = xero.read_purchase_orders(number=purchase_order_number) assert purchase_order.purchase_order_id == purchase_order_id assert purchase_order.purchase_order_number == purchase_order_number def test_read_purchase_orders(xero): status = 'DRAFT' sort = 'Date ASC' purchase_order_list = xero.read_purchase_orders( status=status, order=sort ) assert purchase_order_list assert len(purchase_order_list) > 0 def test_read_purchase_orders_by_date_range(xero): start = date.fromisoformat('2021-11-23') end = date.today() sort = 'Date ASC' purchase_order_list = xero.read_purchase_orders( date_from=start.isoformat(), date_to=end.isoformat(), order=sort ) assert purchase_order_list assert len(purchase_order_list) > 0 def test_update_purchase_orders(xero): date_value = datetime.now().astimezone() contact = Contact( contact_id = 'c7127731-d324-4e26-a03e-854ce9a3a269') line_item = LineItem( description="Foobar", quantity=1.0, unit_amount=20.0, account_code='400' ) line_items = [] line_items.append(line_item) purchase_order = PurchaseOrder( contact=contact, date=date_value, line_items=line_items, reference="test_update_purchase_orders(): created", status="DRAFT") purchase_order_list_created = xero.create_purchase_orders( purchase_order_list=[purchase_order] ) purchase_order = purchase_order_list_created[0] # update journal purchase_order.reference = "test_update_purchase_orders()" purchase_order_list_updated = xero.update_purchase_orders( purchase_order_list=[purchase_order] ) # verify assert purchase_order_list_updated[0].reference == purchase_order.reference def test_delete_purchase_orders_by_id(xero): reference = "test_delete_purchase_orders_by_id(): created" date_value = datetime.now().astimezone() contact = Contact( contact_id = 'c7127731-d324-4e26-a03e-854ce9a3a269') line_item = LineItem( description="Foobar", quantity=1.0, unit_amount=20.0, account_code='400' ) line_items = [] line_items.append(line_item) purchase_order = PurchaseOrder( contact=contact, date=date_value, line_items=line_items, reference=reference, status="DRAFT") purchase_order_list_created = xero.create_purchase_orders( purchase_order_list=[purchase_order] ) purchase_order = purchase_order_list_created[0] # delete journal purchase_order_id = purchase_order.purchase_order_id purchase_order_deleted = xero.delete_purchase_orders( id=purchase_order_id )[0] assert purchase_order_deleted.purchase_order_id == purchase_order_id assert purchase_order_deleted.reference == reference def test_delete_purchase_orders_by_filter(xero): date_value = datetime.now().astimezone() contact = Contact( contact_id = 'c7127731-d324-4e26-a03e-854ce9a3a269') line_item = LineItem( description="Foobar", quantity=1.0, unit_amount=20.0, account_code='400' ) line_items = [] line_items.append(line_item) purchase_order = PurchaseOrder( contact=contact, date=date_value, line_items=line_items, reference="test_delete_purchase_orders_by_filter(): created", status="DRAFT") purchase_order_list_created = xero.create_purchase_orders( purchase_order_list=[purchase_order] ) purchase_order = purchase_order_list_created[0] start = date.today() sort = 'Date ASC' purchase_orders_deleted = xero.delete_purchase_orders( date_from=start.isoformat(), status='DRAFT', order=sort ) assert purchase_orders_deleted assert len(purchase_orders_deleted) > 0 def test_delete_purchase_orders_by_list_of_objects(xero): date_value = datetime.now().astimezone() contact = Contact( contact_id = 'c7127731-d324-4e26-a03e-854ce9a3a269') line_item = LineItem( description="Foobar", quantity=1.0, unit_amount=20.0, account_code='400' ) line_items = [] line_items.append(line_item) purchase_order = PurchaseOrder( contact=contact, date=date_value, line_items=line_items, reference="test_delete_purchase_orders_by_list_of_objects(): created", status="DRAFT") purchase_order_list_created = xero.create_purchase_orders( purchase_order_list=[purchase_order] ) purchase_order = purchase_order_list_created[0] start = date.today() sort = 'Date ASC' purchase_order_list = xero.read_purchase_orders( date_from=start.isoformat(), status='DRAFT', order=sort ) purchase_orders_deleted = xero.delete_purchase_orders( purchase_order_list=purchase_order_list ) assert purchase_orders_deleted assert len(purchase_orders_deleted) > 0

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7

b7d2275754a3381e1e1f73c4692d52f23bcfa871

7,466

py

Python

tests/device_tests/test_device_args.py

SX-Aurora/orchespy

6b85a78831c8e3e05df7143101ca3418817fcbbd

[ "BSD-3-Clause" ]

null

tests/device_tests/test_device_args.py

SX-Aurora/orchespy

6b85a78831c8e3e05df7143101ca3418817fcbbd

[ "BSD-3-Clause" ]

null

tests/device_tests/test_device_args.py

SX-Aurora/orchespy

6b85a78831c8e3e05df7143101ca3418817fcbbd

[ "BSD-3-Clause" ]

null

from orchespy import device from orchespy.devicetype import CUDAGPU, Host, VE import sys import pytest import numpy as np if "cupy" in sys.modules: import cupy as cp if "nlcpy" in sys.modules: import nlcpy as vp no_nlcpy = pytest.mark.skipif( "nlcpy" not in sys.modules, reason=' test require nlcpy. ') no_cupy = pytest.mark.skipif( "cupy" not in sys.modules, reason=' test require cupy. ') # for tests with an argument @device(Host) def sum_at_host(*args): return sum(args) @device(CUDAGPU) def sum_at_gpu(*args): return sum(args) @device(VE) def sum_at_ve(*args): return sum(args) @pytest.mark.parametrize('shape', [(2), (2, 2), (2, 2, 2), (2, 3), (2, 3, 4)]) @pytest.mark.parametrize('dtype', [ 'i4', 'i8', 'u4', 'u8', 'f4', 'f8', 'c8', 'c16' ]) @pytest.mark.parametrize('order', ['C', 'F']) class TestDeviceArgs: def test_device_args_np_host(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = np.ones(shape, dtype=dtype, order=order) y = sum_at_host(x1, x2) assert(isinstance(y, np.ndarray)) expected = np.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy def test_device_args_cp_host(self, shape, dtype, order): x1 = cp.ones(shape, dtype=dtype, order=order) x2 = cp.ones(shape, dtype=dtype, order=order) y = sum_at_host(x1, x2) assert(isinstance(y, np.ndarray)) expected = np.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_nlcpy def test_device_args_vp_host(self, shape, dtype, order): x1 = vp.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_host(x1, x2) assert(isinstance(y, np.ndarray)) expected = np.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy def test_device_args_np_cp_host(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = cp.ones(shape, dtype=dtype, order=order) y = sum_at_host(x1, x2) assert(isinstance(y, np.ndarray)) expected = np.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_nlcpy def test_device_args_np_vp_host(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_host(x1, x2) assert(isinstance(y, np.ndarray)) expected = np.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_cp_vp_host(self, shape, dtype, order): x1 = cp.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_host(x1, x2) assert(isinstance(y, np.ndarray)) expected = np.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy def test_device_args_np_gpu(self, shape, dtype, order): print(shape, dtype, order) x1 = np.ones(shape, dtype=dtype, order=order) x2 = np.ones(shape, dtype=dtype, order=order) y = sum_at_gpu(x1, x2) assert(isinstance(y, cp.ndarray)) expected = cp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy def test_device_args_cp_gpu(self, shape, dtype, order): x1 = cp.ones(shape, dtype=dtype, order=order) x2 = cp.ones(shape, dtype=dtype, order=order) y = sum_at_gpu(x1, x2) assert(isinstance(y, cp.ndarray)) expected = cp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_vp_gpu(self, shape, dtype, order): x1 = vp.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_gpu(x1, x2) assert(isinstance(y, cp.ndarray)) expected = cp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy def test_device_args_np_cp_gpu(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = cp.ones(shape, dtype=dtype, order=order) y = sum_at_gpu(x1, x2) assert(isinstance(y, cp.ndarray)) expected = cp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_np_vp_gpu(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_gpu(x1, x2) assert(isinstance(y, cp.ndarray)) expected = cp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_cp_vp_gpu(self, shape, dtype, order): x1 = cp.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_gpu(x1, x2) assert(isinstance(y, cp.ndarray)) expected = cp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_nlcpy def test_device_args_np_ve(self, shape, dtype, order): print(shape, dtype, order) x1 = np.ones(shape, dtype=dtype, order=order) x2 = np.ones(shape, dtype=dtype, order=order) y = sum_at_ve(x1, x2) assert(isinstance(y, vp.ndarray)) expected = vp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_cp_ve(self, shape, dtype, order): x1 = cp.ones(shape, dtype=dtype, order=order) x2 = cp.ones(shape, dtype=dtype, order=order) y = sum_at_ve(x1, x2) assert(isinstance(y, vp.ndarray)) expected = vp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_nlcpy def test_device_args_vp_ve(self, shape, dtype, order): x1 = vp.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_ve(x1, x2) assert(isinstance(y, vp.ndarray)) expected = vp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_np_cp_ve(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = cp.ones(shape, dtype=dtype, order=order) y = sum_at_ve(x1, x2) assert(isinstance(y, vp.ndarray)) expected = vp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_nlcpy def test_device_args_np_vp_ve(self, shape, dtype, order): x1 = np.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_ve(x1, x2) assert(isinstance(y, vp.ndarray)) expected = vp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all()) @no_cupy @no_nlcpy def test_device_args_cp_vp_ve(self, shape, dtype, order): x1 = cp.ones(shape, dtype=dtype, order=order) x2 = vp.ones(shape, dtype=dtype, order=order) y = sum_at_ve(x1, x2) assert(isinstance(y, vp.ndarray)) expected = vp.full(shape, 2, dtype=dtype, order=order) assert((y == expected).all())

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null

0

9

4d00d3faadd22ee93466e81e485daaee1b773136

5,242

py

Python

dbservice/apps/homes/migrations/0007_auto_20150902_0549.py

aagaard/dbservice

47daadab307e6744ef151dd4e0aacff27dcda881

[ "MIT" ]

1

2020-04-27T16:30:50.000Z

dbservice/apps/homes/migrations/0007_auto_20150902_0549.py

aagaard/dbservice

47daadab307e6744ef151dd4e0aacff27dcda881

[ "MIT" ]

null

dbservice/apps/homes/migrations/0007_auto_20150902_0549.py

aagaard/dbservice

47daadab307e6744ef151dd4e0aacff27dcda881

[ "MIT" ]

1

2021-01-13T02:16:56.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import datetime class Migration(migrations.Migration): dependencies = [ ('homes', '0006_auto_20150315_1012'), ] operations = [ migrations.AddField( model_name='appliance', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='appliance', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='energyconsumptionperiod', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='energyconsumptionperiod', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='energyproductionperiod', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='energyproductionperiod', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='fixedvaluemeterport', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='fixedvaluemeterport', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='mainmeter', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='mainmeter', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='measurement', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='measurement', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='meterport', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='meterport', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='residentialhome', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), migrations.AddField( model_name='submeter', name='created', field=models.DateTimeField( default=datetime.datetime(1, 1, 1, 0, 0), auto_now_add=True ), preserve_default=False, ), migrations.AddField( model_name='submeter', name='last_modified', field=models.DateTimeField( auto_now=True, default=datetime.datetime(1, 1, 1, 0, 0) ), preserve_default=False, ), ]

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null

0

1

0

1

0

null

0

8

4d0c59ca2fc8fb559f324d6ccab493ab02448de9

15,890

py

Python

tests/test_nunitresults.py

RichieBzzzt/ru-neatest

5a1422489b557b573432d8717eb1d4e633c85d0f

[ "MIT" ]

null

tests/test_nunitresults.py

RichieBzzzt/ru-neatest

5a1422489b557b573432d8717eb1d4e633c85d0f

[ "MIT" ]

null

tests/test_nunitresults.py

RichieBzzzt/ru-neatest

5a1422489b557b573432d8717eb1d4e633c85d0f

[ "MIT" ]

null

import pytest import json from runeatest import nunitresults from runeatest import pysparkconnect from runeatest import utils from runeatest import testreporter def test_get_nunit_header(mocker): x = '{"tags": {"opId": "ServerBackend-f421e441fa310430","browserUserAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36","orgId": "1009391617598028","userAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36","clusterId": "0216-124733-lone970","user": "eter.natus@galar.com","principalIdpObjectId": "71b45910-e7b4-44d8-82f7-bf6fac4630d0","browserHostName": "uksouth.azuredatabricks.net","parentOpId": "RPCClient-bb9b9591c29c01f7","jettyRpcType": "InternalDriverBackendMessages$DriverBackendRequest"},"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) t = ("2020-9-13", "13:20:16") mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) mocker.patch("runeatest.utils.get_date_and_time", return_value=t) results = [] results.append(testreporter.add_testcase("test name", False)) results.append(testreporter.add_testcase("test name 2", True)) expected = '<test-results name="/Users/lorem.ipsum@fake.io/runeatest" total="2" date="2020-9-13" time="13:20:16">\n<environment nunit-version="2.6.0.12035" clr-version="2.0.50727.4963" os-version="uksouth.azuredatabricks.net" platform="Win32NT" cwd="C:\\Program Files\\NUnit 2.6\\bin\\" machine-name="0216-124733-lone970" user="eter.natus@galar.com" user-domain="1009391617598028"/>\n<culture-info current-culture="en-US" current-uiculture="en-US"/>' actual = nunitresults.get_nunit_header(results, context) assert expected == actual def test_get_nunit_footer(): expected = "</results>\n</test-suite>\n</test-results>" actual = nunitresults.get_nunit_footer() assert expected == actual def test_get_test_suite_result_one_passed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append(testreporter.add_testcase("test name", True)) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_suite_result_one_failed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append(testreporter.add_testcase("test name", False)) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_suite_result_one_failed_one_passed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append(testreporter.add_testcase("test name", False)) results.append(testreporter.add_testcase("test name 2", True)) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_suite_result_one_passed_one_failed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append(testreporter.add_testcase("test name", False)) results.append(testreporter.add_testcase("test name 2", True)) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_suite_result_all_failed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append(testreporter.add_testcase("test name", False)) results.append(testreporter.add_testcase("test name 2", False)) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_suite_result_all_passed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append(testreporter.add_testcase("test name", True)) results.append(testreporter.add_testcase("test name 2", True)) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_suite_result_all_passed(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", True, "test may also have failed but because it did not this is not included in output", ) ) results.append( testreporter.add_testcase( "test name 2", True, "test may have failed but because it did not this is not included in output", ) ) expected = '<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="0"><results>' actual = nunitresults.get_test_suite_results(results, context) assert expected == actual def test_get_test_case_results_one_failure(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", False, "this description describes the test", "oh dear" ) ) expected = '<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="1">\n<failure><message>oh dear\n</message></failure>\n</test-case>' actual = nunitresults.get_test_case_results(results) assert expected == actual[0] def test_get_test_case_results_one_pass(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", True, "this description describes the test" ) ) expected = '<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="1"/>' actual = nunitresults.get_test_case_results(results) assert expected == actual[0] def test_get_test_case_results_one_pass_one_fail(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", True, "this description describes the test" ) ) results.append( testreporter.add_testcase( "test name 2", False, "this description describes the test", "oops" ) ) expected0 = '<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="1"/>' expected1 = '<test-case name="test name 2" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="1">\n<failure><message>oops\n</message></failure>\n</test-case>' actual = nunitresults.get_test_case_results(results) assert expected0 == actual[0] assert expected1 == actual[1] def test_get_test_case_results_all_pass(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", True, "this description describes the test" ) ) results.append( testreporter.add_testcase( "test name 2", True, "this description describes the test" ) ) expected0 = '<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="1"/>' expected1 = '<test-case name="test name 2" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="1"/>' actual = nunitresults.get_test_case_results(results) assert expected0 == actual[0] assert expected1 == actual[1] def test_get_test_case_results_all_fail(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", False, "this description describes the test", "why" ) ) results.append( testreporter.add_testcase( "test name 2", False, "this description describes the test", "why oh why" ) ) expected0 = '<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="1">\n<failure><message>why\n</message></failure>\n</test-case>' expected1 = '<test-case name="test name 2" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="1">\n<failure><message>why oh why\n</message></failure>\n</test-case>' actual = nunitresults.get_test_case_results(results) assert expected0 == actual[0] assert expected1 == actual[1] def test_convert_to_nunit_results_format(mocker): x = '{"tags": {"opId": "ServerBackend-f421e441fa310430","browserUserAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36","orgId": "1009391617598028","userAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36","clusterId": "0216-124733-lone970","user": "eter.natus@galar.com","principalIdpObjectId": "71b45910-e7b4-44d8-82f7-bf6fac4630d0","browserHostName": "uksouth.azuredatabricks.net","parentOpId": "RPCClient-bb9b9591c29c01f7","jettyRpcType": "InternalDriverBackendMessages$DriverBackendRequest"},"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) t = ("2020-9-13", "13:20:16") mocker.patch("runeatest.utils.get_date_and_time", return_value=t) results = [] results.append( testreporter.add_testcase( "test name", False, "this description describes the test", "this test has failed", ) ) results.append( testreporter.add_testcase( "test name 2", False, "this description describes the test", "this test has also failed", ) ) expected = '<test-results name="/Users/lorem.ipsum@fake.io/runeatest" total="2" date="2020-9-13" time="13:20:16">\n<environment nunit-version="2.6.0.12035" clr-version="2.0.50727.4963" os-version="uksouth.azuredatabricks.net" platform="Win32NT" cwd="C:\\Program Files\\NUnit 2.6\\bin\\" machine-name="0216-124733-lone970" user="eter.natus@galar.com" user-domain="1009391617598028"/>\n<culture-info current-culture="en-US" current-uiculture="en-US"/>\n<test-suite type="TestFixture" name="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="0"><results>\n<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="1">\n<failure><message>this test has failed\n</message></failure>\n</test-case>\n<test-case name="test name 2" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="failure" success="False" time="0.000" asserts="1">\n<failure><message>this test has also failed\n</message></failure>\n</test-case>\n</results>\n</test-suite>\n</test-results>' actual = nunitresults.convert_to_nunit_results_format(results) assert expected == actual def test_get_test_case_results_all_pass_different_notebookpaths(mocker): x = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/runeatest"}}' context = json.loads(x) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results = [] results.append( testreporter.add_testcase( "test name", True, "this description describes the test" ) ) y = '{"extraContext":{"notebook_path":"/Users/lorem.ipsum@fake.io/eternatus"}}' context = json.loads(y) mocker.patch("runeatest.pysparkconnect.get_context", return_value=context) results.append( testreporter.add_testcase( "test name 2", True, "this description describes the test" ) ) expected0 = '<test-case name="test name" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/runeatest" executed="True" result="success" success="True" time="0.000" asserts="1"/>' expected1 = '<test-case name="test name 2" description="this description describes the test" classname="/Users/lorem.ipsum@fake.io/eternatus" executed="True" result="success" success="True" time="0.000" asserts="1"/>' actual = nunitresults.get_test_case_results(results) assert expected0 == actual[0] assert expected1 == actual[1]

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0.969642

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0.961782

0.958529

0.944254

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0

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15,890

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1

0.067511

false

0.037975

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0.092827

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null

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1

0

null

0

7

1503381f4ad3db89dadb674b76aefd0e1851b199

147,752

py

Python

dataloader/definitions/labels_file_incremental_learn.py

ifnspaml/IFN_Dataloader

864a10f0dfea27cbbe46f18cf3c9958768f3c0be

[ "MIT" ]

6

2020-09-18T06:25:20.000Z

2021-11-16T22:33:37.000Z

dataloader/definitions/labels_file_incremental_learn.py

ifnspaml/IFN_Dataloader

864a10f0dfea27cbbe46f18cf3c9958768f3c0be

[ "MIT" ]

null

dataloader/definitions/labels_file_incremental_learn.py

ifnspaml/IFN_Dataloader

864a10f0dfea27cbbe46f18cf3c9958768f3c0be

[ "MIT" ]

1

2021-03-05T08:36:49.000Z

from collections import namedtuple import numpy as np Label = namedtuple( 'Label' , [ 'name' , # The identifier of this label. # We use them to uniquely name a class 'id' , # An integer ID that is associated with this label. # The IDs are used to represent the label in ground truth images # An ID of -1 means that this label does not have an ID and thus # is ignored when creating ground truth images (e.g. license plate). # Do not modify these IDs, since exactly these IDs are expected by the # evaluation server. 'trainId' , # Feel free to modify these IDs as suitable for your method. Then create # ground truth images with train IDs, using the tools provided in the # 'preparation' folder. However, make sure to validate or submit results # to our evaluation server using the regular IDs above! # For trainIds, multiple labels might have the same ID. Then, these labels # are mapped to the same class in the ground truth images. For the inverse # mapping, we use the label that is defined first in the list below. # For example, mapping all void-type classes to the same ID in training, # might make sense for some approaches. # Max value is 255! 'category' , # The name of the category that this label belongs to 'categoryId' , # The ID of this category. Used to create ground truth images # on category level. 'hasInstances', # Whether this label distinguishes between single instances or not 'ignoreInEval', # Whether pixels having this class as ground truth label are ignored # during evaluations or not 'color' , # The color of this label ] ) class ClassDefinitions(object): """This class contains the classdefintions for the segmentation masks and the procedures to work with them""" def __init__(self, classlabels): self.labels = classlabels for i, label in zip(range(len(self.labels)), self.labels): if isinstance(label.color, int): self.labels[i] = label._replace(color=tuple([int(label.color/(256.0**2)) % 256, int(label.color/256.0) % 256, int(label.color) % 256])) def getlabels(self): return self.labels def getname2label(self): name2label = {label.name: label for label in self.labels} return name2label def getid2label(self): id2label = {label.id: label for label in self.labels} return id2label def gettrainid2label(self): trainid2label = {label.trainId: label for label in reversed(self.labels)} return trainid2label def getcategory2label(self): category2labels = {} for label in self.labels: category = label.category if category in category2labels: category2labels[category].append(label) else: category2labels[category] = [label] def assureSingleInstanceName(self,name): # if the name is known, it is not a group name2label = self.getname2label() if name in name2label: return name # test if the name actually denotes a group if not name.endswith("group"): return None # remove group name = name[:-len("group")] # test if the new name exists if not name in name2label: return None # test if the new name denotes a label that actually has instances if not name2label[name].hasInstances: return None # all good then return name #-------------------------------------------------------------------------------- # A list of all labels #-------------------------------------------------------------------------------- # Please adapt the train IDs as appropriate for your approach. # Note that you might want to ignore labels with ID 255 during training. # Further note that the current train IDs are only a suggestion. You can use whatever you like. # Make sure to provide your results using the original IDs and not the training IDs. # Note that many IDs are ignored in evaluation and thus you never need to predict these! labels_apollo_lanes = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'void' , 0 , 0, 'void' , 0 , False , False , ( 0, 0, 0) ), Label( 's_w_d' , 200 , 1 , 'dividing' , 1 , False , False , ( 70, 130, 180) ), Label( 's_y_d' , 204 , 2 , 'dividing' , 1 , False , False , (220, 20, 60) ), Label( 'ds_w_dn' , 213 , 3 , 'dividing' , 1 , False , True , (128, 0, 128) ), Label( 'ds_y_dn' , 209 , 4 , 'dividing' , 1 , False , False , (255, 0, 0) ), Label( 'sb_w_do' , 206 , 5 , 'dividing' , 1 , False , True , ( 0, 0, 60) ), Label( 'sb_y_do' , 207 , 6 , 'dividing' , 1 , False , True , ( 0, 60, 100) ), Label( 'b_w_g' , 201 , 7 , 'guiding' , 2 , False , False , ( 0, 0, 142) ), Label( 'b_y_g' , 203 , 8 , 'guiding' , 2 , False , False , (119, 11, 32) ), Label( 'db_w_g' , 211 , 9 , 'guiding' , 2 , False , True , (244, 35, 232) ), Label( 'db_y_g' , 208 , 10 , 'guiding' , 2 , False , True , ( 0, 0, 160) ), Label( 'db_w_s' , 216 , 11 , 'stopping' , 3 , False , True , (153, 153, 153) ), Label( 's_w_s' , 217 , 12 , 'stopping' , 3 , False , False , (220, 220, 0) ), Label( 'ds_w_s' , 215 , 13 , 'stopping' , 3 , False , True , (250, 170, 30) ), Label( 's_w_c' , 218 , 14 , 'chevron' , 4 , False , True , (102, 102, 156) ), Label( 's_y_c' , 219 , 15 , 'chevron' , 4 , False , True , (128, 0, 0) ), Label( 's_w_p' , 210 , 16 , 'parking' , 5 , False , False , (128, 64, 128) ), Label( 's_n_p' , 232 , 17 , 'parking' , 5 , False , True , (238, 232, 170) ), Label( 'c_wy_z' , 214 , 18 , 'zebra' , 6 , False , False , (190, 153, 153) ), Label( 'a_w_u' , 202 , 19 , 'thru/turn' , 7 , False , True , ( 0, 0, 230) ), Label( 'a_w_t' , 220 , 20 , 'thru/turn' , 7 , False , False , (128, 128, 0) ), Label( 'a_w_tl' , 221 , 21 , 'thru/turn' , 7 , False , False , (128, 78, 160) ), Label( 'a_w_tr' , 222 , 22 , 'thru/turn' , 7 , False , False , (150, 100, 100) ), Label( 'a_w_tlr' , 231 , 23 , 'thru/turn' , 7 , False , True , (255, 165, 0) ), Label( 'a_w_l' , 224 , 24 , 'thru/turn' , 7 , False , False , (180, 165, 180) ), Label( 'a_w_r' , 225 , 25 , 'thru/turn' , 7 , False , False , (107, 142, 35) ), Label( 'a_w_lr' , 226 , 26 , 'thru/turn' , 7 , False , False , (201, 255, 229) ), Label( 'a_n_lu' , 230 , 27 , 'thru/turn' , 7 , False , True , (0, 191, 255) ), Label( 'a_w_tu' , 228 , 28 , 'thru/turn' , 7 , False , True , ( 51, 255, 51) ), Label( 'a_w_m' , 229 , 29 , 'thru/turn' , 7 , False , True , (250, 128, 114) ), Label( 'a_y_t' , 233 , 30 , 'thru/turn' , 7 , False , True , (127, 255, 0) ), Label( 'b_n_sr' , 205 , 31 , 'reduction' , 8 , False , False , (255, 128, 0) ), Label( 'd_wy_za' , 212 , 32 , 'attention' , 9 , False , True , ( 0, 255, 255) ), Label( 'r_wy_np' , 227 , 33 , 'no parking' , 10 , False , False , (178, 132, 190) ), Label( 'vom_wy_n' , 223 , 34 , 'others' , 11 , False , True , (128, 128, 64) ), Label( 'om_n_n' , 250 , 35 , 'others' , 11 , False , False , (102, 0, 204) ), Label( 'noise' , 249 , 255 , 'ignored' , 255 , False , True , ( 0, 153, 153) ), Label( 'ignored' , 255 , 255 , 'ignored' , 255 , False , True , (255, 255, 255) ), ]) labels_cityscape_seg = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 0 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 1 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 2 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 3 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 4 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 5 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 6 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 7 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 8 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 9 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 10 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 13 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 14 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 15 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 16 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 17 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 18 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train1 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 0 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 1 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 255 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 255 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 255 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 4 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 255 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 255 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 255 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 255 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train2 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 255 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 255 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 8 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 9 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 10 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 255 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 255 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 255 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 255 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 255 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train2_only = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 255 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 255 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 0 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 1 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 2 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 3 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 4 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 5 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 255 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 255 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 255 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 255 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 255 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train2_eval = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 0 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 1 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 8 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 9 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 10 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 4 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 255 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 255 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 255 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 255 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 255 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train3 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 255 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 255 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 255 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 255 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 255 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 255 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 13 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 14 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 15 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 16 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 17 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 18 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train3_only = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 255 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 255 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 255 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 255 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 255 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 255 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 0 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 1 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 2 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 3 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 4 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 5 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 6 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 7 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_cityscape_seg_train3_eval = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 0 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 1 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 8 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 9 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 10 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 4 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 13 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 14 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 15 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 16 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 17 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 18 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_kitti_seg = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'unlabeled' , 0 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'rectification border' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'out of roi' , 3 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'static' , 4 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'dynamic' , 5 , 255 , 'void' , 0 , False , True , (111, 74, 0) ), Label( 'ground' , 6 , 255 , 'void' , 0 , False , True , ( 81, 0, 81) ), Label( 'road' , 7 , 0 , 'flat' , 1 , False , False , (128, 64,128) ), Label( 'sidewalk' , 8 , 1 , 'flat' , 1 , False , False , (244, 35,232) ), Label( 'parking' , 9 , 255 , 'flat' , 1 , False , True , (250,170,160) ), Label( 'rail track' , 10 , 255 , 'flat' , 1 , False , True , (230,150,140) ), Label( 'building' , 11 , 2 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'wall' , 12 , 3 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'fence' , 13 , 4 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 14 , 255 , 'construction' , 2 , False , True , (180,165,180) ), Label( 'bridge' , 15 , 255 , 'construction' , 2 , False , True , (150,100,100) ), Label( 'tunnel' , 16 , 255 , 'construction' , 2 , False , True , (150,120, 90) ), Label( 'pole' , 17 , 5 , 'object' , 3 , False , False , (153,153,153) ), Label( 'polegroup' , 18 , 255 , 'object' , 3 , False , True , (153,153,153) ), Label( 'traffic light' , 19 , 6 , 'object' , 3 , False , False , (250,170, 30) ), Label( 'traffic sign' , 20 , 7 , 'object' , 3 , False , False , (220,220, 0) ), Label( 'vegetation' , 21 , 8 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'terrain' , 22 , 9 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'sky' , 23 , 10 , 'sky' , 5 , False , False , ( 70,130,180) ), Label( 'person' , 24 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'rider' , 25 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'car' , 26 , 13 , 'vehicle' , 7 , True , False , ( 0, 0,142) ), Label( 'truck' , 27 , 14 , 'vehicle' , 7 , True , False , ( 0, 0, 70) ), Label( 'bus' , 28 , 15 , 'vehicle' , 7 , True , False , ( 0, 60,100) ), Label( 'caravan' , 29 , 255 , 'vehicle' , 7 , True , True , ( 0, 0, 90) ), Label( 'trailer' , 30 , 255 , 'vehicle' , 7 , True , True , ( 0, 0,110) ), Label( 'train' , 31 , 16 , 'vehicle' , 7 , True , False , ( 0, 80,100) ), Label( 'motorcycle' , 32 , 17 , 'vehicle' , 7 , True , False , ( 0, 0,230) ), Label( 'bicycle' , 33 , 18 , 'vehicle' , 7 , True , False , (119, 11, 32) ), Label( 'license plate' , -1 , 255 , 'vehicle' , 7 , False , True , ( 0, 0,142) ), ]) labels_apollo_seg = ClassDefinitions([ # name id trainId category catId hasInstanceignoreInEval color Label('others' , 0, 255 , '其他' , 0 ,False , True , 0x000000 ), Label('rover' , 1, 255 , '其他' , 0 ,False , True , 0X000000 ), Label('sky' , 17, 0 , '天空' , 1 ,False , False , 0x4682B4 ), Label('car' , 33, 1 , '移动物体', 2 ,True , False , 0x00008E ), Label('car_groups' , 161, 1 , '移动物体', 2 ,True , False , 0x00008E ), Label('motorbicycle' , 34, 2 , '移动物体', 2 ,True , False , 0x0000E6 ), Label('motorbicycle_group' , 162, 2 , '移动物体', 2 ,True , False , 0x0000E6 ), Label('bicycle' , 35, 3 , '移动物体', 2 ,True , False , 0x770B20 ), Label('bicycle_group' , 163, 3 , '移动物体', 2 ,True , False , 0x770B20 ), Label('person' , 36, 4 , '移动物体', 2 ,True , False , 0x0080c0 ), Label('person_group' , 164, 4 , '移动物体', 2 ,True , False , 0x0080c0 ), Label('rider' , 37, 5 , '移动物体', 2 ,True , False , 0x804080 ), Label('rider_group' , 165, 5 , '移动物体', 2 ,True , False , 0x804080 ), Label('truck' , 38, 6 , '移动物体', 2 ,True , False , 0x8000c0 ), Label('truck_group' , 166, 6 , '移动物体', 2 ,True , False , 0x8000c0 ), Label('bus' , 39, 7 , '移动物体', 2 ,True , False , 0xc00040 ), Label('bus_group' , 167, 7 , '移动物体', 2 ,True , False , 0xc00040 ), Label('tricycle' , 40, 8 , '移动物体', 2 ,True , False , 0x8080c0 ), Label('tricycle_group' , 168, 8 , '移动物体', 2 ,True , False , 0x8080c0 ), Label('road' , 49, 9 , '平面' , 3 ,False , False , 0xc080c0 ), Label('siderwalk' , 50, 10 , '平面' , 3 ,False , False , 0xc08040 ), Label('traffic_cone' , 65, 11 , '路间障碍', 4 ,False , False , 0x000040 ), Label('road_pile' , 66, 12 , '路间障碍', 4 ,False , False , 0x0000c0 ), Label('fence' , 67, 13 , '路间障碍', 4 ,False , False , 0x404080 ), Label('traffic_light' , 81, 14 , '路边物体', 5 ,False , False , 0xc04080 ), Label('pole' , 82, 15 , '路边物体', 5 ,False , False , 0xc08080 ), Label('traffic_sign' , 83, 16 , '路边物体', 5 ,False , False , 0x004040 ), Label('wall' , 84, 17 , '路边物体', 5 ,False , False , 0xc0c080 ), Label('dustbin' , 85, 18 , '路边物体', 5 ,False , False , 0x4000c0 ), Label('billboard' , 86, 19 , '路边物体', 5 ,False , False , 0xc000c0 ), Label('building' , 97, 20 , '建筑' , 6 ,False , False , 0xc00080 ), Label('bridge' , 98, 255 , '建筑' , 6 ,False , True , 0x808000 ), Label('tunnel' , 99, 255 , '建筑' , 6 ,False , True , 0x800000 ), Label('overpass' , 100, 255 , '建筑' , 6 ,False , True , 0x408040 ), Label('vegatation' , 113, 21 , '自然' , 7 ,False , False , 0x808040 ), Label('unlabeled' , 255, 255 , '未标注' , 8 ,False , True , 0xFFFFFF ), ]) labels_mapillary_seg = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 0 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 1 , 'construction' , 2 , False , False , (128, 64,255) ), Label( 'bridge' , 5 , 2 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 3 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 4 , 'construction' , 2 , True , False , (140,140,200) ), Label( 'curb' , 8 , 5 , 'construction' , 2 , False , False , (196,196,196) ), Label( 'curb cut' , 9 , 6 , 'construction' , 2 , False , False , (170,170,170) ), Label( 'fence' , 10 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 8 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 9 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 10 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 11 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 12 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 13 , 'construction' , 2 , False , False , (110,110,110) ), Label( 'sidewalk' , 17 , 14 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 15 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 16 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 17 , 'object' , 3 , True , False , (255,255,128) ), Label( 'bench' , 21 , 18 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 19 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 20 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 21 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 22 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 23 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 24 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 25 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 26 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 27 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 28 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 29 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 30 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 31 , 'object' , 3 , True , False , (100,128,160) ), Label( 'motorcycle' , 35 , 32 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 33 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 34 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 35 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 36 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 37 , 'object' , 3 , False , False , ( 70,100,150) ), Label( 'street light' , 41 , 38 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 39 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 40 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 41 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 42 , 'object' , 3 , True , False , (128,128,128) ), Label( 'trailer' , 46 , 43 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 44 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 45 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 46 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 47 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 48 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 49 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 50 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 51 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 52 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 53 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 54 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 55 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 56 , 'human' , 6 , True , False , (255, 0,100) ), Label( 'other rider' , 60 , 57 , 'human' , 6 , True , False , (255, 0,200) ), Label( 'person' , 61 , 58 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 59 , 'marking' , 8 , True , False , (200,128,128) ), Label( 'lane marking - general' , 63 , 60 , 'marking' , 8 , False , False , (255,255,255) ), Label( 'bird' , 64 , 61 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 62 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 0 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 18 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 15 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 13 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 0 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 17 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 16 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 8 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 0 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 9 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 10 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 14 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 4 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 0 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 0 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train1 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 0 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 255 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 255 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 255 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 0 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 255 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 255 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 255 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 0 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 255 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 255 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 255 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 4 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 0 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 0 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train2 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 255 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 255 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 255 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 255 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 255 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 255 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 255 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 8 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 255 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 9 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 10 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 255 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 255 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 255 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 255 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train2_only = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 0 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 255 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 2 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 1 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 255 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 255 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 255 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 255 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 255 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 255 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 3 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 255 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 4 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 5 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 255 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 255 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 255 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 255 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train2_eval = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 0 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 255 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 255 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 255 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 0 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 255 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 255 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 8 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 0 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 9 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 10 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 255 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 4 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 0 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 0 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train3 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 255 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 18 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 15 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 13 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 255 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 17 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 16 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 255 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 255 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 255 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 255 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 14 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 255 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 255 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 255 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train3_eval = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 5 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 0 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 7 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 6 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 18 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 15 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 13 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 0 , 'object' , 3 , True , False , (128, 64,128) ), Label( 'motorcycle' , 35 , 17 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 16 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 8 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 0 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 9 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 10 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 14 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 4 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 12 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 11 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 0 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 0 , 'marking' , 8 , False , False , (128, 64,128) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train4 = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 255 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 255 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 255 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 255 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 255 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 255 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 5 , 'object' , 3 , True , False , (100,128,160) ), Label( 'motorcycle' , 35 , 255 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 255 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 255 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 255 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 255 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 255 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 255 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 255 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 255 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 255 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 255 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 6 , 'marking' , 8 , False , False , (255,255,255) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) labels_mapillary_seg_cityscapes_train4_eval = ClassDefinitions([ # name id trainId category catId hasInstances ignoreInEval color Label( 'car mount' , 0 , 255 , 'void' , 0 , False , True , ( 32, 32, 32) ), Label( 'ego vehicle' , 1 , 255 , 'void' , 0 , False , True , (120, 10, 10) ), Label( 'unlabeled' , 2 , 255 , 'void' , 0 , False , True , ( 0, 0, 0) ), Label( 'barrier' , 3 , 255 , 'construction' , 2 , False , False , ( 90,120,150) ), Label( 'bike lane' , 4 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt, aber nicht 100% eindeutig, z.b. Radstreifen Label( 'bridge' , 5 , 255 , 'construction' , 2 , False , False , (150,100,100) ), Label( 'building' , 6 , 255 , 'construction' , 2 , False , False , ( 70, 70, 70) ), Label( 'crosswalk - plain' , 7 , 0 , 'construction' , 2 , True , False , (128, 64,128) ), Label( 'curb' , 8 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'curb cut' , 9 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), # passt Label( 'fence' , 10 , 255 , 'construction' , 2 , False , False , (190,153,153) ), Label( 'guard rail' , 11 , 255 , 'construction' , 2 , False , False , (180,165,180) ), Label( 'parking' , 12 , 255 , 'construction' , 2 , False , False , (250,170,160) ), Label( 'pedestrian area' , 13 , 255 , 'construction' , 2 , False , False , ( 96, 96, 96) ), Label( 'rail track' , 14 , 255 , 'construction' , 2 , False , False , (230,150,140) ), Label( 'road' , 15 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), Label( 'service lane' , 16 , 0 , 'construction' , 2 , False , False , (128, 64,128) ), # passt denke ich Label( 'sidewalk' , 17 , 1 , 'construction' , 2 , False , False , (244, 35,232) ), Label( 'tunnel' , 18 , 255 , 'construction' , 2 , False , False , (150,120, 90) ), Label( 'wall' , 19 , 255 , 'construction' , 2 , False , False , (102,102,156) ), Label( 'banner' , 20 , 255 , 'object' , 3 , True , False , (255,255,128) ), # Label( 'bench' , 21 , 255 , 'object' , 3 , True , False , (250, 0, 30) ), Label( 'bicycle' , 22 , 255 , 'object' , 3 , True , False , (119, 11, 32) ), Label( 'bike rack' , 23 , 255 , 'object' , 3 , True , False , (100,140,180) ), Label( 'billboard' , 24 , 255 , 'object' , 3 , True , False , (220,220,220) ), Label( 'boat' , 25 , 255 , 'object' , 3 , True , False , (150, 0,255) ), Label( 'bus' , 26 , 255 , 'object' , 3 , True , False , ( 0, 60,100) ), Label( 'cctv camera' , 27 , 255 , 'object' , 3 , True , False , (222, 40, 40) ), Label( 'car' , 28 , 255 , 'object' , 3 , True , False , ( 0, 0,142) ), Label( 'caravan' , 29 , 255 , 'object' , 3 , True , False , ( 0, 0, 90) ), Label( 'catch basin' , 30 , 255 , 'object' , 3 , True , False , (220,128,128) ), Label( 'fire hydrant' , 31 , 255 , 'object' , 3 , True , False , (100,170, 30) ), Label( 'junction box' , 32 , 255 , 'object' , 3 , True , False , ( 40, 40, 40) ), Label( 'mailbox' , 33 , 255 , 'object' , 3 , True , False , ( 33, 33, 33) ), Label( 'manhole' , 34 , 5 , 'object' , 3 , True , False , (100,128,160) ), Label( 'motorcycle' , 35 , 255 , 'object' , 3 , True , False , ( 0, 0,230) ), Label( 'on rails' , 36 , 255 , 'object' , 3 , False , False , ( 0, 80,100) ), Label( 'other vehicle' , 37 , 255 , 'object' , 3 , True , False , (128, 64, 64) ), Label( 'phone booth' , 38 , 255 , 'object' , 3 , True , False , (142, 0, 0) ), Label( 'pole' , 39 , 255 , 'object' , 3 , True , False , (153,153,153) ), Label( 'pothole' , 40 , 0 , 'object' , 3 , False , False , (128, 64,128) ), Label( 'street light' , 41 , 255 , 'object' , 3 , True , False , (210,170,100) ), Label( 'traffic light' , 42 , 255 , 'object' , 3 , True , False , (250,170, 30) ), Label( 'traffic sign (back)' , 43 , 255 , 'object' , 3 , True , False , (192,192,192) ), Label( 'traffic sign (front)' , 44 , 255 , 'object' , 3 , True , False , (220,220, 0) ), Label( 'traffic sign frame' , 45 , 255 , 'object' , 3 , True , False , (128,128,128) ), # Label( 'trailer' , 46 , 255 , 'object' , 3 , True , False , ( 0, 0,110) ), Label( 'trash can' , 47 , 255 , 'object' , 3 , True , False , (140,140, 20) ), Label( 'truck' , 48 , 255 , 'object' , 3 , True , False , ( 0, 0, 70) ), Label( 'utility pole' , 49 , 255 , 'object' , 3 , True , False , ( 0, 0, 80) ), Label( 'wheeled slow' , 50 , 255 , 'object' , 3 , True , False , ( 0, 0,192) ), Label( 'mountain' , 51 , 255 , 'nature' , 4 , False , False , ( 64,170, 64) ), Label( 'sand' , 52 , 255 , 'nature' , 4 , False , False , (230,160, 50) ), Label( 'sky' , 53 , 4 , 'nature' , 4 , False , False , ( 70,130,180) ), Label( 'snow' , 54 , 255 , 'nature' , 4 , False , False , (190,255,255) ), Label( 'terrain' , 55 , 3 , 'nature' , 4 , False , False , (152,251,152) ), Label( 'vegetation' , 56 , 2 , 'nature' , 4 , False , False , (107,142, 35) ), Label( 'water' , 57 , 255 , 'nature' , 4 , False , False , ( 0,170, 30) ), Label( 'bicyclist' , 58 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'motorcyclist' , 59 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'other rider' , 60 , 255 , 'human' , 6 , True , False , (255, 0, 0) ), Label( 'person' , 61 , 255 , 'human' , 6 , True , False , (220, 20, 60) ), Label( 'lane marking - crosswalk' , 62 , 0 , 'marking' , 8 , True , False , (128, 64,128) ), Label( 'lane marking - general' , 63 , 6 , 'marking' , 8 , False , False , (255,255,255) ), Label( 'bird' , 64 , 255 , 'animal' , 9 , True , False , (165, 42, 42) ), Label( 'ground animal' , 65 , 255 , 'animal' , 9 , True , False , ( 0,192, 0) ), ]) def decode_labels(mask, num_images=1, database='Cityscapes', mode = 'id'): """ Decode batch of segmentation masks. :param mask: result of inference after taking argmax. 3D numpy array :param num_images: number of images to decode from the batch. :param num_classes: number of classes to predict (including background). :param database: the underlying database of the labels (currently Pascal VOC2012 or Cityscapes). :return: A batch with num_images RGB images of the same size as the input. 4D numpy array """ assert mode in ['id', 'trainid'] assert database in ['Cityscapes', 'KITTI'] n, h, w = mask.shape assert (n >= num_images), 'Batch size %d should be greater or equal than number of images to save %d.' % ( n, num_images) database_dict = {'Cityscapes': labels_cityscape_seg, 'KITTI': labels_kitti_seg} database_def = database_dict[database] mode_dict = {'id': database_def.getid2label, 'trainid': database_def.gettrainid2label} label_dict = mode_dict[mode]() outputs = np.zeros((num_images, h, w, 3), dtype=np.uint8) for i in range(num_images): img = mask[i] new_img = np.zeros((h, w, 3)) for key in label_dict: new_img[img == key, :] = np.array(label_dict[key].color) outputs[i] = np.array(new_img) return outputs if __name__ == "__main__": labels = labels_apollo_lanes.getlabels() # Print all the labels print("List of apolloscapes labels:") print("") print(" {:>21} | {:>3} | {:>7} | {:>14} | {:>10} | {:>12} | {:>12}".format( 'name', 'id', 'trainId', 'category', 'categoryId', 'hasInstances', 'ignoreInEval' )) print(" " + ('-' * 98)) for label in labels: print(" {:>21} | {:>3} | {:>7} | {:>14} | {:>10} | {:>12} | {:>12}".format( label.name, label.id, label.trainId, label.category, label.categoryId, label.hasInstances, label.ignoreInEval )) print("") print("Example usages:") # Map from name to label name = 'noise' name2label = labels_apollo_lanes.getname2label() id = name2label[name].id print("ID of label '{name}': {id}".format( name=name, id=id )) # Map from ID to label id2label = labels_apollo_lanes.getid2label() category = id2label[id].category print("Category of label with ID '{id}': {category}".format( id=id, category=category )) # Map from trainID to label trainId = 0 trainId2label = labels_apollo_lanes.gettrainid2label() name = trainId2label[trainId].name print("Name of label with trainID '{id}': {name}".format( id=trainId, name=name ))

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py

Python

paypalcheckoutsdk/payments/authorizations_get_request.py

taqma/Checkout-Python-SDK

ebb26e78408cc70a159436b7b43ac249cc169766

[ "BSD-Source-Code" ]

null

paypalcheckoutsdk/payments/authorizations_get_request.py

taqma/Checkout-Python-SDK

ebb26e78408cc70a159436b7b43ac249cc169766

[ "BSD-Source-Code" ]

null

paypalcheckoutsdk/payments/authorizations_get_request.py

taqma/Checkout-Python-SDK

ebb26e78408cc70a159436b7b43ac249cc169766

[ "BSD-Source-Code" ]

null

# This class was generated on Tue, 10 Jul 2018 10:40:35 PDT by version 0.1.0-dev+0ee05a-dirty of Braintree SDK Generator # authorizations_get_request.py # @version 0.1.0-dev+0ee05a-dirty # @type request # @data 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 # DO NOT EDIT import braintreehttp try: from urllib.parse import quote # Python 2.X except ImportError: from urllib.parse import quote # Python 3+ class AuthorizationsGetRequest: """ Shows details for an authorized payment, by ID. """ def __init__(self, authorization_id): self.verb = "GET" self.path = "/v2/payments/authorizations/{authorization_id}?".replace("{authorization_id}", quote(str(authorization_id))) self.headers = {} self.headers["Content-Type"] = "application/json" self.body = None

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null

1

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7

151b9771737399e11f5fb459ef93a231e3824ffa

6,691

py

Python

pm/models/situ_social_activity_community.py

aosojnik/pipeline-manager-features-models

e5232f1c1b2073253a1c505dc9fff0d3d839dd6c

[ "MIT" ]

null

pm/models/situ_social_activity_community.py

aosojnik/pipeline-manager-features-models

e5232f1c1b2073253a1c505dc9fff0d3d839dd6c

[ "MIT" ]

null

pm/models/situ_social_activity_community.py

aosojnik/pipeline-manager-features-models

e5232f1c1b2073253a1c505dc9fff0d3d839dd6c

[ "MIT" ]

null

################################################################################## ##########--this is an autogenerated python model definition for proDEX--######### ##--original file: Community_Involvement_Assessment_v05.dxi --## ################################################################################## from .lib.proDEX import * situ_social_activity_community = Node() feat_community_habitual_weekly_vs_goal = Atrib() feat_community_habitual_relative = Atrib() feat_community_nonhabitual = Atrib() situ_social_activity_community.setName('situ_social_activity_community') feat_community_habitual_weekly_vs_goal.setName('feat_community_habitual_weekly_vs_goal') feat_community_habitual_relative.setName('feat_community_habitual_relative') feat_community_nonhabitual.setName('feat_community_nonhabitual') situ_social_activity_community.setValues(['very_low', 'low', 'medium', 'high', 'very_high']) feat_community_habitual_weekly_vs_goal.setValues(['low', 'medium', 'high']) feat_community_habitual_relative.setValues(['decrease', 'stable', 'increase']) feat_community_nonhabitual.setValues(['at_none', 'at_some', 'at_all']) situ_social_activity_community.addChild(feat_community_habitual_weekly_vs_goal) feat_community_habitual_weekly_vs_goal.setParent(situ_social_activity_community) situ_social_activity_community.addChild(feat_community_habitual_relative) feat_community_habitual_relative.setParent(situ_social_activity_community) situ_social_activity_community.addChild(feat_community_nonhabitual) feat_community_nonhabitual.setParent(situ_social_activity_community) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_none'}, 'very_low']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_some'}, 'very_low']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_all'}, 'very_low']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_none'}, 'low']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_some'}, 'low']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_all'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_none'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_some'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'low', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_all'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_none'}, 'low']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_some'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_all'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_none'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_some'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_all'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_none'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_some'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'medium', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_all'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_none'}, 'medium']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_some'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'decrease', feat_community_nonhabitual:'at_all'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_none'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_some'}, 'very_high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'stable', feat_community_nonhabitual:'at_all'}, 'very_high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_none'}, 'high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_some'}, 'very_high']) situ_social_activity_community.addFunctionRow([{feat_community_habitual_weekly_vs_goal:'high', feat_community_habitual_relative:'increase', feat_community_nonhabitual:'at_all'}, 'very_high'])

115.362069

192

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6,691

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0.058531

0.249274

0.268449

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6,691

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117.385965

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1

0

1

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1

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null

0

11

12818f8a57a8ea050f07aa6d8231f694525533c6

2,027

py

Python

tests/data/test_degenerate_colinear_01.py

ideasman42/isect_segments-bentley_ottmann

19deb3c5be4c2b91689b87548a875054b43e9952

[ "MIT" ]

80

2015-12-04T15:06:49.000Z

2022-03-02T18:08:15.000Z

test/data/test_degenerate_colinear_01.py

lolistoy/sweepline

82a2464f984c119dd438489c5f826e9693a7fabf

[ "MIT" ]

25

2015-10-18T13:58:28.000Z

2021-06-23T21:54:54.000Z

test/data/test_degenerate_colinear_01.py

lolistoy/sweepline

82a2464f984c119dd438489c5f826e9693a7fabf

[ "MIT" ]

37

2016-07-06T01:38:33.000Z

2022-02-19T03:53:14.000Z

data = ( ((-0.900000, 0.900000), (1.000000, -1.000000)), ((-1.000000, 1.000000), (0.900000, -0.900000)), ((-0.900000, 0.800000), (0.900000, -1.000000)), ((-1.000000, 0.900000), (0.800000, -0.900000)), ((-0.900000, 0.700000), (0.800000, -1.000000)), ((-1.000000, 0.800000), (0.700000, -0.900000)), ((-0.900000, 0.600000), (0.700000, -1.000000)), ((-1.000000, 0.700000), (0.600000, -0.900000)), ((0.900000, -0.800000), (-0.900000, 1.000000)), ((1.000000, -0.900000), (-0.800000, 0.900000)), ((0.900000, -0.700000), (-0.800000, 1.000000)), ((1.000000, -0.800000), (-0.700000, 0.900000)), ((0.900000, -0.600000), (-0.700000, 1.000000)), ((1.000000, -0.700000), (-0.600000, 0.900000)), ((0.300000, 0.300000), (1.000000, 1.000000)), ((0.200000, 0.200000), (0.900000, 0.900000)), ((0.400000, 0.300000), (1.000000, 0.900000)), ((0.300000, 0.200000), (0.900000, 0.800000)), ((0.500000, 0.300000), (1.000000, 0.800000)), ((0.400000, 0.200000), (0.900000, 0.700000)), ((0.600000, 0.300000), (1.000000, 0.700000)), ((0.500000, 0.200000), (0.900000, 0.600000)), ((0.800000, 0.900000), (0.200000, 0.300000)), ((0.900000, 1.000000), (0.300000, 0.400000)), ((0.700000, 0.900000), (0.200000, 0.400000)), ((0.800000, 1.000000), (0.300000, 0.500000)), ((0.600000, 0.900000), (0.200000, 0.500000)), ((0.700000, 1.000000), (0.300000, 0.600000)), ((-0.900000, -0.900000), (-0.200000, -0.200000)), ((-1.000000, -1.000000), (-0.300000, -0.300000)), ((-0.800000, -0.900000), (-0.200000, -0.300000)), ((-0.900000, -1.000000), (-0.300000, -0.400000)), ((-0.700000, -0.900000), (-0.200000, -0.400000)), ((-0.800000, -1.000000), (-0.300000, -0.500000)), ((-0.600000, -0.900000), (-0.200000, -0.500000)), ((-0.700000, -1.000000), (-0.300000, -0.600000)), ((-0.400000, -0.300000), (-1.000000, -0.900000)), ((-0.300000, -0.200000), (-0.900000, -0.800000)), ((-0.500000, -0.300000), (-1.000000, -0.800000)), ((-0.400000, -0.200000), (-0.900000, -0.700000)), ((-0.600000, -0.300000), (-1.000000, -0.700000)), ((-0.500000, -0.200000), (-0.900000, -0.600000)), )

45.044444

49

0.582141

337

2,027

3.501484

0.035608

0.237288

0.130508

0.970339

0.909322

0.891525

0.861864

0

0.633962

0.084854

2,027

44

50

46.068182

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false

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null

1

0

1

0

1

0

1

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null

0

10

1297a6471383b49d053a9289166affe664fcfc39

142,492

py

Python

api/generated/python/azure-iiot-opc-registry/azure_opc_registry_client.py

jaz230/Industrial-IoT

bd4c5abfe579cbb7086a621e8381978e6c70a563

[ "MIT" ]

1

2020-01-22T12:03:08.000Z

api/generated/python/azure-iiot-opc-registry/azure_opc_registry_client.py

likithadt/Industrial-IoT

d4ea7b330eff08455ca0556fed76aa74d2034da5

[ "MIT" ]

null

api/generated/python/azure-iiot-opc-registry/azure_opc_registry_client.py

likithadt/Industrial-IoT

d4ea7b330eff08455ca0556fed76aa74d2034da5

[ "MIT" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator 2.3.33.0 # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.service_client import ServiceClient from msrest import Configuration, Serializer, Deserializer from .version import VERSION from msrest.pipeline import ClientRawResponse from msrest.exceptions import HttpOperationError from . import models class AzureOpcRegistryClientConfiguration(Configuration): """Configuration for AzureOpcRegistryClient Note that all parameters used to create this instance are saved as instance attributes. :param credentials: Subscription credentials which uniquely identify client subscription. :type credentials: None :param str base_url: Service URL """ def __init__( self, credentials, base_url=None): if credentials is None: raise ValueError("Parameter 'credentials' must not be None.") if not base_url: base_url = 'http://localhost:9080' super(AzureOpcRegistryClientConfiguration, self).__init__(base_url) self.add_user_agent('azureopcregistryclient/{}'.format(VERSION)) self.credentials = credentials class AzureOpcRegistryClient(object): """Azure Industrial IoT OPC UA Registry Service :ivar config: Configuration for client. :vartype config: AzureOpcRegistryClientConfiguration :param credentials: Subscription credentials which uniquely identify client subscription. :type credentials: None :param str base_url: Service URL """ def __init__( self, credentials, base_url=None): self.config = AzureOpcRegistryClientConfiguration(credentials, base_url) self._client = ServiceClient(self.config.credentials, self.config) client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)} self.api_version = 'v2' self._serialize = Serializer(client_models) self._deserialize = Deserializer(client_models) def register_server( self, body, custom_headers=None, raw=False, **operation_config): """Register new server. Registers a server solely using a discovery url. Requires that the onboarding agent service is running and the server can be located by a supervisor in its network using the discovery url. :param body: Server registration request :type body: ~azure-iiot-opc-registry.models.ServerRegistrationRequestApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.register_server.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'ServerRegistrationRequestApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response register_server.metadata = {'url': '/v2/applications'} def create_application( self, body, custom_headers=None, raw=False, **operation_config): """Create new application. The application is registered using the provided information, but it is not associated with a supervisor. This is useful for when you need to register clients or you want to register a server that is located in a network not reachable through a Twin module. :param body: Application registration request :type body: ~azure-iiot-opc-registry.models.ApplicationRegistrationRequestApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ApplicationRegistrationResponseApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.ApplicationRegistrationResponseApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.create_application.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'ApplicationRegistrationRequestApiModel') # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ApplicationRegistrationResponseApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_application.metadata = {'url': '/v2/applications'} def delete_all_disabled_applications( self, not_seen_for=None, custom_headers=None, raw=False, **operation_config): """Purge applications. Purges all applications that have not been seen for a specified amount of time. :param not_seen_for: A duration in milliseconds :type not_seen_for: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.delete_all_disabled_applications.metadata['url'] # Construct parameters query_parameters = {} if not_seen_for is not None: query_parameters['notSeenFor'] = self._serialize.query("not_seen_for", not_seen_for, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response delete_all_disabled_applications.metadata = {'url': '/v2/applications'} def get_list_of_applications( self, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of applications. Get all registered applications in paged form. The returned model can contain a continuation token if more results are available. Call this operation again using the token to retrieve more results. :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ApplicationInfoListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.ApplicationInfoListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_applications.metadata['url'] # Construct parameters query_parameters = {} if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ApplicationInfoListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_applications.metadata = {'url': '/v2/applications'} def disable_application( self, application_id, custom_headers=None, raw=False, **operation_config): """Disable an enabled application. A manager can disable an application. :param application_id: The application id :type application_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.disable_application.metadata['url'] path_format_arguments = { 'applicationId': self._serialize.url("application_id", application_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response disable_application.metadata = {'url': '/v2/applications/{applicationId}/disable'} def enable_application( self, application_id, custom_headers=None, raw=False, **operation_config): """Re-enable a disabled application. A manager can enable an application. :param application_id: The application id :type application_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.enable_application.metadata['url'] path_format_arguments = { 'applicationId': self._serialize.url("application_id", application_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response enable_application.metadata = {'url': '/v2/applications/{applicationId}/enable'} def discover_server( self, body, custom_headers=None, raw=False, **operation_config): """Discover servers. Registers servers by running a discovery scan in a supervisor's network. Requires that the onboarding agent service is running. :param body: Discovery request :type body: ~azure-iiot-opc-registry.models.DiscoveryRequestApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.discover_server.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'DiscoveryRequestApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response discover_server.metadata = {'url': '/v2/applications/discover'} def cancel( self, request_id, custom_headers=None, raw=False, **operation_config): """Cancel discovery. Cancels a discovery request using the request identifier. :param request_id: Discovery request :type request_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.cancel.metadata['url'] path_format_arguments = { 'requestId': self._serialize.url("request_id", request_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response cancel.metadata = {'url': '/v2/applications/discover/{requestId}'} def get_application_registration( self, application_id, custom_headers=None, raw=False, **operation_config): """Get application registration. :param application_id: Application id for the server :type application_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ApplicationRegistrationApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.ApplicationRegistrationApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_application_registration.metadata['url'] path_format_arguments = { 'applicationId': self._serialize.url("application_id", application_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ApplicationRegistrationApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_application_registration.metadata = {'url': '/v2/applications/{applicationId}'} def update_application_registration( self, application_id, body, custom_headers=None, raw=False, **operation_config): """Update application registration. The application information is updated with new properties. Note that this information might be overridden if the application is re-discovered during a discovery run (recurring or one-time). :param application_id: The identifier of the application :type application_id: str :param body: Application update request :type body: ~azure-iiot-opc-registry.models.ApplicationRegistrationUpdateApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.update_application_registration.metadata['url'] path_format_arguments = { 'applicationId': self._serialize.url("application_id", application_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'ApplicationRegistrationUpdateApiModel') # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_application_registration.metadata = {'url': '/v2/applications/{applicationId}'} def delete_application( self, application_id, custom_headers=None, raw=False, **operation_config): """Unregister application. Unregisters and deletes application and all its associated endpoints. :param application_id: The identifier of the application :type application_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.delete_application.metadata['url'] path_format_arguments = { 'applicationId': self._serialize.url("application_id", application_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response delete_application.metadata = {'url': '/v2/applications/{applicationId}'} def get_list_of_sites( self, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of sites. List all sites applications are registered in. :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ApplicationSiteListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.ApplicationSiteListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_sites.metadata['url'] # Construct parameters query_parameters = {} if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ApplicationSiteListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_sites.metadata = {'url': '/v2/applications/sites'} def query_applications( self, body, page_size=None, custom_headers=None, raw=False, **operation_config): """Query applications. List applications that match a query model. The returned model can contain a continuation token if more results are available. Call the GetListOfApplications operation using the token to retrieve more results. :param body: Application query :type body: ~azure-iiot-opc-registry.models.ApplicationRegistrationQueryApiModel :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ApplicationInfoListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.ApplicationInfoListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.query_applications.metadata['url'] # Construct parameters query_parameters = {} if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'ApplicationRegistrationQueryApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ApplicationInfoListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized query_applications.metadata = {'url': '/v2/applications/query'} def get_filtered_list_of_applications( self, body, page_size=None, custom_headers=None, raw=False, **operation_config): """Get filtered list of applications. Get a list of applications filtered using the specified query parameters. The returned model can contain a continuation token if more results are available. Call the GetListOfApplications operation using the token to retrieve more results. :param body: Applications Query model :type body: ~azure-iiot-opc-registry.models.ApplicationRegistrationQueryApiModel :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ApplicationInfoListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.ApplicationInfoListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_filtered_list_of_applications.metadata['url'] # Construct parameters query_parameters = {} if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'ApplicationRegistrationQueryApiModel') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ApplicationInfoListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_filtered_list_of_applications.metadata = {'url': '/v2/applications/query'} def subscribe( self, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe for application events. Register a client to receive application events through SignalR. :param body: The user that will receive application events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe.metadata = {'url': '/v2/applications/events'} def unsubscribe( self, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe from application events. Unregister a user and stop it from receiving events. :param user_id: The user id that will not receive any more events :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe.metadata['url'] path_format_arguments = { 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe.metadata = {'url': '/v2/applications/events/{userId}'} def get_discoverer( self, discoverer_id, only_server_state=None, custom_headers=None, raw=False, **operation_config): """Get discoverer registration information. Returns a discoverer's registration and connectivity information. A discoverer id corresponds to the twin modules module identity. :param discoverer_id: Discoverer identifier :type discoverer_id: str :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: DiscovererApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.DiscovererApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_discoverer.metadata['url'] path_format_arguments = { 'discovererId': self._serialize.url("discoverer_id", discoverer_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('DiscovererApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_discoverer.metadata = {'url': '/v2/discovery/{discovererId}'} def update_discoverer( self, discoverer_id, body, custom_headers=None, raw=False, **operation_config): """Update discoverer information. Allows a caller to configure recurring discovery runs on the twin module identified by the discoverer id or update site information. :param discoverer_id: discoverer identifier :type discoverer_id: str :param body: Patch request :type body: ~azure-iiot-opc-registry.models.DiscovererUpdateApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.update_discoverer.metadata['url'] path_format_arguments = { 'discovererId': self._serialize.url("discoverer_id", discoverer_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'DiscovererUpdateApiModel') # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_discoverer.metadata = {'url': '/v2/discovery/{discovererId}'} def set_discovery_mode( self, discoverer_id, mode, body=None, custom_headers=None, raw=False, **operation_config): """Enable server discovery. Allows a caller to configure recurring discovery runs on the discovery module identified by the module id. :param discoverer_id: discoverer identifier :type discoverer_id: str :param mode: Discovery mode. Possible values include: 'Off', 'Local', 'Network', 'Fast', 'Scan' :type mode: str or ~azure-iiot-opc-registry.models.DiscoveryMode :param body: Discovery configuration :type body: ~azure-iiot-opc-registry.models.DiscoveryConfigApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.set_discovery_mode.metadata['url'] path_format_arguments = { 'discovererId': self._serialize.url("discoverer_id", discoverer_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['mode'] = self._serialize.query("mode", mode, 'DiscoveryMode') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'DiscoveryConfigApiModel') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response set_discovery_mode.metadata = {'url': '/v2/discovery/{discovererId}'} def get_list_of_discoverers( self, only_server_state=None, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of discoverers. Get all registered discoverers and therefore twin modules in paged form. The returned model can contain a continuation token if more results are available. Call this operation again using the token to retrieve more results. :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: DiscovererListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.DiscovererListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_discoverers.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('DiscovererListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_discoverers.metadata = {'url': '/v2/discovery'} def query_discoverers( self, body, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Query discoverers. Get all discoverers that match a specified query. The returned model can contain a continuation token if more results are available. Call the GetListOfDiscoverers operation using the token to retrieve more results. :param body: Discoverers query model :type body: ~azure-iiot-opc-registry.models.DiscovererQueryApiModel :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: DiscovererListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.DiscovererListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.query_discoverers.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'DiscovererQueryApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('DiscovererListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized query_discoverers.metadata = {'url': '/v2/discovery/query'} def get_filtered_list_of_discoverers( self, site_id=None, discovery=None, connected=None, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get filtered list of discoverers. Get a list of discoverers filtered using the specified query parameters. The returned model can contain a continuation token if more results are available. Call the GetListOfDiscoverers operation using the token to retrieve more results. :param site_id: Site of the discoverer :type site_id: str :param discovery: Discovery mode of discoverer. Possible values include: 'Off', 'Local', 'Network', 'Fast', 'Scan' :type discovery: str or ~azure-iiot-opc-registry.models.DiscoveryMode :param connected: Included connected or disconnected :type connected: bool :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: DiscovererListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.DiscovererListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_filtered_list_of_discoverers.metadata['url'] # Construct parameters query_parameters = {} if site_id is not None: query_parameters['siteId'] = self._serialize.query("site_id", site_id, 'str') if discovery is not None: query_parameters['discovery'] = self._serialize.query("discovery", discovery, 'DiscoveryMode') if connected is not None: query_parameters['connected'] = self._serialize.query("connected", connected, 'bool') if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('DiscovererListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_filtered_list_of_discoverers.metadata = {'url': '/v2/discovery/query'} def subscribe1( self, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe to discoverer registry events. Register a user to receive discoverer events through SignalR. :param body: The user id that will receive discoverer events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe1.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe1.metadata = {'url': '/v2/discovery/events'} def unsubscribe1( self, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe registry events. Unregister a user and stop it from receiving discoverer events. :param user_id: The user id that will not receive any more discoverer events :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe1.metadata['url'] path_format_arguments = { 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe1.metadata = {'url': '/v2/discovery/events/{userId}'} def subscribe_by_discoverer_id( self, discoverer_id, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe to discovery progress from discoverer. Register a client to receive discovery progress events through SignalR from a particular discoverer. :param discoverer_id: The discoverer to subscribe to :type discoverer_id: str :param body: The user id that will receive discovery events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe_by_discoverer_id.metadata['url'] path_format_arguments = { 'discovererId': self._serialize.url("discoverer_id", discoverer_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe_by_discoverer_id.metadata = {'url': '/v2/discovery/{discovererId}/events'} def subscribe_by_request_id( self, request_id, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe to discovery progress for a request. Register a client to receive discovery progress events through SignalR for a particular request. :param request_id: The request to monitor :type request_id: str :param body: The user id that will receive discovery events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe_by_request_id.metadata['url'] path_format_arguments = { 'requestId': self._serialize.url("request_id", request_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe_by_request_id.metadata = {'url': '/v2/discovery/requests/{requestId}/events'} def unsubscribe_by_request_id( self, request_id, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe from discovery progress for a request. Unregister a client and stop it from receiving discovery events for a particular request. :param request_id: The request to unsubscribe from :type request_id: str :param user_id: The user id that will not receive any more discovery progress :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe_by_request_id.metadata['url'] path_format_arguments = { 'requestId': self._serialize.url("request_id", request_id, 'str'), 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe_by_request_id.metadata = {'url': '/v2/discovery/requests/{requestId}/events/{userId}'} def unsubscribe_by_discoverer_id( self, discoverer_id, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe from discovery progress from discoverer. Unregister a client and stop it from receiving discovery events. :param discoverer_id: The discoverer to unsubscribe from :type discoverer_id: str :param user_id: The user id that will not receive any more discovery progress :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe_by_discoverer_id.metadata['url'] path_format_arguments = { 'discovererId': self._serialize.url("discoverer_id", discoverer_id, 'str'), 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe_by_discoverer_id.metadata = {'url': '/v2/discovery/{discovererId}/events/{userId}'} def activate_endpoint( self, endpoint_id, custom_headers=None, raw=False, **operation_config): """Activate endpoint. Activates an endpoint for subsequent use in twin service. All endpoints must be activated using this API or through a activation filter during application registration or discovery. :param endpoint_id: endpoint identifier :type endpoint_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.activate_endpoint.metadata['url'] path_format_arguments = { 'endpointId': self._serialize.url("endpoint_id", endpoint_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response activate_endpoint.metadata = {'url': '/v2/endpoints/{endpointId}/activate'} def get_endpoint( self, endpoint_id, only_server_state=None, custom_headers=None, raw=False, **operation_config): """Get endpoint information. Gets information about an endpoint. :param endpoint_id: endpoint identifier :type endpoint_id: str :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: EndpointInfoApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.EndpointInfoApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_endpoint.metadata['url'] path_format_arguments = { 'endpointId': self._serialize.url("endpoint_id", endpoint_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('EndpointInfoApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_endpoint.metadata = {'url': '/v2/endpoints/{endpointId}'} def get_list_of_endpoints( self, only_server_state=None, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of endpoints. Get all registered endpoints in paged form. The returned model can contain a continuation token if more results are available. Call this operation again using the token to retrieve more results. :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: EndpointInfoListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.EndpointInfoListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_endpoints.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('EndpointInfoListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_endpoints.metadata = {'url': '/v2/endpoints'} def query_endpoints( self, body, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Query endpoints. Return endpoints that match the specified query. The returned model can contain a continuation token if more results are available. Call the GetListOfEndpoints operation using the token to retrieve more results. :param body: Query to match :type body: ~azure-iiot-opc-registry.models.EndpointRegistrationQueryApiModel :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: EndpointInfoListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.EndpointInfoListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.query_endpoints.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'EndpointRegistrationQueryApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('EndpointInfoListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized query_endpoints.metadata = {'url': '/v2/endpoints/query'} def get_filtered_list_of_endpoints( self, url=None, certificate=None, security_mode=None, security_policy=None, activated=None, connected=None, endpoint_state=None, include_not_seen_since=None, discoverer_id=None, application_id=None, supervisor_id=None, site_or_gateway_id=None, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get filtered list of endpoints. Get a list of endpoints filtered using the specified query parameters. The returned model can contain a continuation token if more results are available. Call the GetListOfEndpoints operation using the token to retrieve more results. :param url: Endoint url for direct server access :type url: str :param certificate: Certificate of the endpoint :type certificate: bytearray :param security_mode: Security Mode. Possible values include: 'Best', 'Sign', 'SignAndEncrypt', 'None' :type security_mode: str or ~azure-iiot-opc-registry.models.SecurityMode :param security_policy: Security policy uri :type security_policy: str :param activated: Whether the endpoint was activated :type activated: bool :param connected: Whether the endpoint is connected on supervisor. :type connected: bool :param endpoint_state: The last state of the the activated endpoint. Possible values include: 'Connecting', 'NotReachable', 'Busy', 'NoTrust', 'CertificateInvalid', 'Ready', 'Error' :type endpoint_state: str or ~azure-iiot-opc-registry.models.EndpointConnectivityState :param include_not_seen_since: Whether to include endpoints that were soft deleted :type include_not_seen_since: bool :param discoverer_id: Discoverer id to filter with :type discoverer_id: str :param application_id: Application id to filter :type application_id: str :param supervisor_id: Supervisor id to filter with :type supervisor_id: str :param site_or_gateway_id: Site or gateway id to filter with :type site_or_gateway_id: str :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: EndpointInfoListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.EndpointInfoListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_filtered_list_of_endpoints.metadata['url'] # Construct parameters query_parameters = {} if url is not None: query_parameters['url'] = self._serialize.query("url", url, 'str') if certificate is not None: query_parameters['certificate'] = self._serialize.query("certificate", certificate, 'bytearray') if security_mode is not None: query_parameters['securityMode'] = self._serialize.query("security_mode", security_mode, 'SecurityMode') if security_policy is not None: query_parameters['securityPolicy'] = self._serialize.query("security_policy", security_policy, 'str') if activated is not None: query_parameters['activated'] = self._serialize.query("activated", activated, 'bool') if connected is not None: query_parameters['connected'] = self._serialize.query("connected", connected, 'bool') if endpoint_state is not None: query_parameters['endpointState'] = self._serialize.query("endpoint_state", endpoint_state, 'EndpointConnectivityState') if include_not_seen_since is not None: query_parameters['includeNotSeenSince'] = self._serialize.query("include_not_seen_since", include_not_seen_since, 'bool') if discoverer_id is not None: query_parameters['discovererId'] = self._serialize.query("discoverer_id", discoverer_id, 'str') if application_id is not None: query_parameters['applicationId'] = self._serialize.query("application_id", application_id, 'str') if supervisor_id is not None: query_parameters['supervisorId'] = self._serialize.query("supervisor_id", supervisor_id, 'str') if site_or_gateway_id is not None: query_parameters['siteOrGatewayId'] = self._serialize.query("site_or_gateway_id", site_or_gateway_id, 'str') if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('EndpointInfoListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_filtered_list_of_endpoints.metadata = {'url': '/v2/endpoints/query'} def deactivate_endpoint( self, endpoint_id, custom_headers=None, raw=False, **operation_config): """Deactivate endpoint. Deactivates the endpoint and disable access through twin service. :param endpoint_id: endpoint identifier :type endpoint_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.deactivate_endpoint.metadata['url'] path_format_arguments = { 'endpointId': self._serialize.url("endpoint_id", endpoint_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response deactivate_endpoint.metadata = {'url': '/v2/endpoints/{endpointId}/deactivate'} def subscribe2( self, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe for endpoint events. Register a user to receive endpoint events through SignalR. :param body: The user id that will receive endpoint events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe2.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe2.metadata = {'url': '/v2/endpoints/events'} def unsubscribe2( self, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe from endpoint events. Unregister a user and stop it from receiving endpoint events. :param user_id: The user id that will not receive any more endpoint events :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe2.metadata['url'] path_format_arguments = { 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe2.metadata = {'url': '/v2/endpoints/events/{userId}'} def get_gateway( self, gateway_id, custom_headers=None, raw=False, **operation_config): """Get Gateway registration information. Returns a Gateway's registration and connectivity information. A Gateway id corresponds to the twin modules module identity. :param gateway_id: Gateway identifier :type gateway_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: GatewayInfoApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.GatewayInfoApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_gateway.metadata['url'] path_format_arguments = { 'GatewayId': self._serialize.url("gateway_id", gateway_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('GatewayInfoApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_gateway.metadata = {'url': '/v2/gateways/{GatewayId}'} def update_gateway( self, gateway_id, body, custom_headers=None, raw=False, **operation_config): """Update Gateway configuration. Allows a caller to configure operations on the Gateway module identified by the Gateway id. :param gateway_id: Gateway identifier :type gateway_id: str :param body: Patch request :type body: ~azure-iiot-opc-registry.models.GatewayUpdateApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.update_gateway.metadata['url'] path_format_arguments = { 'GatewayId': self._serialize.url("gateway_id", gateway_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'GatewayUpdateApiModel') # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_gateway.metadata = {'url': '/v2/gateways/{GatewayId}'} def get_list_of_gateway( self, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of Gateways. Get all registered Gateways and therefore twin modules in paged form. The returned model can contain a continuation token if more results are available. Call this operation again using the token to retrieve more results. :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: GatewayListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.GatewayListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_gateway.metadata['url'] # Construct parameters query_parameters = {} if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('GatewayListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_gateway.metadata = {'url': '/v2/gateways'} def query_gateway( self, body, page_size=None, custom_headers=None, raw=False, **operation_config): """Query Gateways. Get all Gateways that match a specified query. The returned model can contain a continuation token if more results are available. Call the GetListOfGateway operation using the token to retrieve more results. :param body: Gateway query model :type body: ~azure-iiot-opc-registry.models.GatewayQueryApiModel :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: GatewayListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.GatewayListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.query_gateway.metadata['url'] # Construct parameters query_parameters = {} if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'GatewayQueryApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('GatewayListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized query_gateway.metadata = {'url': '/v2/gateways/query'} def get_filtered_list_of_gateway( self, site_id=None, connected=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get filtered list of Gateways. Get a list of Gateways filtered using the specified query parameters. The returned model can contain a continuation token if more results are available. Call the GetListOfGateway operation using the token to retrieve more results. :param site_id: Site of the Gateway :type site_id: str :param connected: Included connected or disconnected :type connected: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: GatewayListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.GatewayListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_filtered_list_of_gateway.metadata['url'] # Construct parameters query_parameters = {} if site_id is not None: query_parameters['siteId'] = self._serialize.query("site_id", site_id, 'str') if connected is not None: query_parameters['connected'] = self._serialize.query("connected", connected, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('GatewayListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_filtered_list_of_gateway.metadata = {'url': '/v2/gateways/query'} def subscribe3( self, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe to Gateway registry events. Register a user to receive Gateway events through SignalR. :param body: The user id that will receive Gateway events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe3.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe3.metadata = {'url': '/v2/gateways/events'} def unsubscribe3( self, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe registry events. Unregister a user and stop it from receiving Gateway events. :param user_id: The user id that will not receive any more Gateway events :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe3.metadata['url'] path_format_arguments = { 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe3.metadata = {'url': '/v2/gateways/events/{userId}'} def get_publisher( self, publisher_id, only_server_state=None, custom_headers=None, raw=False, **operation_config): """Get publisher registration information. Returns a publisher's registration and connectivity information. A publisher id corresponds to the twin modules module identity. :param publisher_id: Publisher identifier :type publisher_id: str :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: PublisherApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.PublisherApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_publisher.metadata['url'] path_format_arguments = { 'publisherId': self._serialize.url("publisher_id", publisher_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('PublisherApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_publisher.metadata = {'url': '/v2/publishers/{publisherId}'} def update_publisher( self, publisher_id, body, custom_headers=None, raw=False, **operation_config): """Update publisher configuration. Allows a caller to configure operations on the publisher module identified by the publisher id. :param publisher_id: Publisher identifier :type publisher_id: str :param body: Patch request :type body: ~azure-iiot-opc-registry.models.PublisherUpdateApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.update_publisher.metadata['url'] path_format_arguments = { 'publisherId': self._serialize.url("publisher_id", publisher_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'PublisherUpdateApiModel') # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_publisher.metadata = {'url': '/v2/publishers/{publisherId}'} def get_list_of_publisher( self, only_server_state=None, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of publishers. Get all registered publishers and therefore twin modules in paged form. The returned model can contain a continuation token if more results are available. Call this operation again using the token to retrieve more results. :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: PublisherListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.PublisherListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_publisher.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('PublisherListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_publisher.metadata = {'url': '/v2/publishers'} def query_publisher( self, body, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Query publishers. Get all publishers that match a specified query. The returned model can contain a continuation token if more results are available. Call the GetListOfPublisher operation using the token to retrieve more results. :param body: Publisher query model :type body: ~azure-iiot-opc-registry.models.PublisherQueryApiModel :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: PublisherListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.PublisherListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.query_publisher.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'PublisherQueryApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('PublisherListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized query_publisher.metadata = {'url': '/v2/publishers/query'} def get_filtered_list_of_publisher( self, site_id=None, connected=None, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get filtered list of publishers. Get a list of publishers filtered using the specified query parameters. The returned model can contain a continuation token if more results are available. Call the GetListOfPublisher operation using the token to retrieve more results. :param site_id: Site for the publishers :type site_id: str :param connected: Included connected or disconnected :type connected: bool :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: PublisherListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.PublisherListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_filtered_list_of_publisher.metadata['url'] # Construct parameters query_parameters = {} if site_id is not None: query_parameters['siteId'] = self._serialize.query("site_id", site_id, 'str') if connected is not None: query_parameters['connected'] = self._serialize.query("connected", connected, 'bool') if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('PublisherListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_filtered_list_of_publisher.metadata = {'url': '/v2/publishers/query'} def subscribe4( self, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe to publisher registry events. Register a user to receive publisher events through SignalR. :param body: The user id that will receive publisher events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe4.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe4.metadata = {'url': '/v2/publishers/events'} def unsubscribe4( self, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe registry events. Unregister a user and stop it from receiving publisher events. :param user_id: The user id that will not receive any more publisher events :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe4.metadata['url'] path_format_arguments = { 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe4.metadata = {'url': '/v2/publishers/events/{userId}'} def get_supervisor( self, supervisor_id, only_server_state=None, custom_headers=None, raw=False, **operation_config): """Get supervisor registration information. Returns a supervisor's registration and connectivity information. A supervisor id corresponds to the twin modules module identity. :param supervisor_id: Supervisor identifier :type supervisor_id: str :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SupervisorApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.SupervisorApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_supervisor.metadata['url'] path_format_arguments = { 'supervisorId': self._serialize.url("supervisor_id", supervisor_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SupervisorApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_supervisor.metadata = {'url': '/v2/supervisors/{supervisorId}'} def update_supervisor( self, supervisor_id, body, custom_headers=None, raw=False, **operation_config): """Update supervisor information. Allows a caller to configure recurring discovery runs on the twin module identified by the supervisor id or update site information. :param supervisor_id: supervisor identifier :type supervisor_id: str :param body: Patch request :type body: ~azure-iiot-opc-registry.models.SupervisorUpdateApiModel :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.update_supervisor.metadata['url'] path_format_arguments = { 'supervisorId': self._serialize.url("supervisor_id", supervisor_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'SupervisorUpdateApiModel') # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_supervisor.metadata = {'url': '/v2/supervisors/{supervisorId}'} def get_supervisor_status( self, supervisor_id, custom_headers=None, raw=False, **operation_config): """Get runtime status of supervisor. Allows a caller to get runtime status for a supervisor. :param supervisor_id: supervisor identifier :type supervisor_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SupervisorStatusApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.SupervisorStatusApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_supervisor_status.metadata['url'] path_format_arguments = { 'supervisorId': self._serialize.url("supervisor_id", supervisor_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SupervisorStatusApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_supervisor_status.metadata = {'url': '/v2/supervisors/{supervisorId}/status'} def reset_supervisor( self, supervisor_id, custom_headers=None, raw=False, **operation_config): """Reset supervisor. Allows a caller to reset the twin module using its supervisor identity identifier. :param supervisor_id: supervisor identifier :type supervisor_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.reset_supervisor.metadata['url'] path_format_arguments = { 'supervisorId': self._serialize.url("supervisor_id", supervisor_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response reset_supervisor.metadata = {'url': '/v2/supervisors/{supervisorId}/reset'} def get_list_of_supervisors( self, only_server_state=None, continuation_token=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get list of supervisors. Get all registered supervisors and therefore twin modules in paged form. The returned model can contain a continuation token if more results are available. Call this operation again using the token to retrieve more results. :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param continuation_token: Optional Continuation token :type continuation_token: str :param page_size: Optional number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SupervisorListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.SupervisorListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_list_of_supervisors.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if continuation_token is not None: query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SupervisorListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_list_of_supervisors.metadata = {'url': '/v2/supervisors'} def query_supervisors( self, body, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Query supervisors. Get all supervisors that match a specified query. The returned model can contain a continuation token if more results are available. Call the GetListOfSupervisors operation using the token to retrieve more results. :param body: Supervisors query model :type body: ~azure-iiot-opc-registry.models.SupervisorQueryApiModel :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SupervisorListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.SupervisorListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.query_supervisors.metadata['url'] # Construct parameters query_parameters = {} if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(body, 'SupervisorQueryApiModel') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SupervisorListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized query_supervisors.metadata = {'url': '/v2/supervisors/query'} def get_filtered_list_of_supervisors( self, site_id=None, connected=None, only_server_state=None, page_size=None, custom_headers=None, raw=False, **operation_config): """Get filtered list of supervisors. Get a list of supervisors filtered using the specified query parameters. The returned model can contain a continuation token if more results are available. Call the GetListOfSupervisors operation using the token to retrieve more results. :param site_id: Site for the supervisors :type site_id: str :param connected: Included connected or disconnected :type connected: bool :param only_server_state: Whether to include only server state, or display current client state of the endpoint if available :type only_server_state: bool :param page_size: Number of results to return :type page_size: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SupervisorListApiModel or ClientRawResponse if raw=true :rtype: ~azure-iiot-opc-registry.models.SupervisorListApiModel or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.get_filtered_list_of_supervisors.metadata['url'] # Construct parameters query_parameters = {} if site_id is not None: query_parameters['siteId'] = self._serialize.query("site_id", site_id, 'str') if connected is not None: query_parameters['connected'] = self._serialize.query("connected", connected, 'bool') if only_server_state is not None: query_parameters['onlyServerState'] = self._serialize.query("only_server_state", only_server_state, 'bool') if page_size is not None: query_parameters['pageSize'] = self._serialize.query("page_size", page_size, 'int') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SupervisorListApiModel', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_filtered_list_of_supervisors.metadata = {'url': '/v2/supervisors/query'} def subscribe5( self, body=None, custom_headers=None, raw=False, **operation_config): """Subscribe to supervisor registry events. Register a user to receive supervisor events through SignalR. :param body: The user id that will receive supervisor events. :type body: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.subscribe5.metadata['url'] # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if body is not None: body_content = self._serialize.body(body, 'str') else: body_content = None # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response subscribe5.metadata = {'url': '/v2/supervisors/events'} def unsubscribe5( self, user_id, custom_headers=None, raw=False, **operation_config): """Unsubscribe registry events. Unregister a user and stop it from receiving supervisor events. :param user_id: The user id that will not receive any more supervisor events :type user_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`HttpOperationError<msrest.exceptions.HttpOperationError>` """ # Construct URL url = self.unsubscribe5.metadata['url'] path_format_arguments = { 'userId': self._serialize.url("user_id", user_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise HttpOperationError(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response unsubscribe5.metadata = {'url': '/v2/supervisors/events/{userId}'}

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false

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0.110478

0

null

0

1

0

1

0

null

0

7

4208ecfb4aa4234220d78092067fe011adf241d2

221

py

Python

pyramda/dictionary/getitem_test.py

sergiors/pyramda

5bf200888809b1bc946e813e29460f204bccd13e

[ "MIT" ]

124

2015-07-30T21:34:25.000Z

2022-02-19T08:45:50.000Z

pyramda/dictionary/getitem_test.py

sergiors/pyramda

5bf200888809b1bc946e813e29460f204bccd13e

[ "MIT" ]

37

2015-08-31T23:02:20.000Z

2022-02-04T04:45:28.000Z

pyramda/dictionary/getitem_test.py

sergiors/pyramda

5bf200888809b1bc946e813e29460f204bccd13e

[ "MIT" ]

20

2015-08-04T18:59:09.000Z

2021-12-13T08:08:59.000Z

from .getitem import getitem from pyramda.private.asserts import assert_equal def getitem_nocurry_item(): assert_equal(getitem("a", {"a": 1}), 1) def getitem_curry_item(): assert_equal(getitem("a")({"a": 1}))

20.090909

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null

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1

0

1

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1

0

1

0

8

42732064acfa5b163378d2182b7cf4d0d1e1917a

6,852

py

Python

openprocurement/audit/monitoring/tests/test_credentials.py

ProzorroUKR/openprocurement.audit.api

a17836e29bca28d9151c091e1d2e42de9f70b949

[ "Apache-2.0" ]

1

2018-05-21T08:14:55.000Z

openprocurement/audit/monitoring/tests/test_credentials.py

ProzorroUKR/openprocurement.audit.api

a17836e29bca28d9151c091e1d2e42de9f70b949

[ "Apache-2.0" ]

59

2018-05-18T02:09:47.000Z

2019-05-29T12:10:06.000Z

openprocurement/audit/monitoring/tests/test_credentials.py

ProzorroUKR/openprocurement.audit.api

a17836e29bca28d9151c091e1d2e42de9f70b949

[ "Apache-2.0" ]

1

2020-06-15T11:04:25.000Z

from hashlib import sha512 from unittest import mock from openprocurement_client.exceptions import ResourceError from openprocurement.audit.monitoring.tests.base import BaseWebTest from openprocurement.audit.monitoring.tests.utils import get_errors_field_names class MonitoringCredentialsResourceTest(BaseWebTest): def setUp(self): super(MonitoringCredentialsResourceTest, self).setUp() self.create_monitoring() def test_credentials_no_access_token(self): self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials'.format(self.monitoring_id), status=403 ) self.assertEqual(response.status_code, 403) self.assertEqual(response.content_type, 'application/json') self.assertEqual(('body', 'data'), next(get_errors_field_names(response, 'No access token was provided.'))) @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_query_param_access_token(self, client_class_mock): client_class_mock.return_value.extract_credentials.return_value = { 'data': {'tender_token': sha512(b'tender_token').hexdigest()} } self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token') ) self.assertEqual(response.status_code, 200) self.assertEqual(response.content_type, 'application/json') self.assertIn('access', response.json) @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_query_param_wrong_access_token(self, client_class_mock): client_class_mock.return_value.extract_credentials.return_value = { 'data': {'tender_token': sha512(b'tender_token').hexdigest()} } self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'wrong_token'), status=403 ) self.assertEqual(response.status_code, 403) self.assertEqual(response.content_type, 'application/json') @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_no_tender(self, client_class_mock): client_class_mock.return_value.extract_credentials.side_effect = ResourceError(mock.Mock(status_code=404)) self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token'), status=403 ) self.assertEqual(response.content_type, 'application/json') self.assertEqual( ('body', 'data'), next(get_errors_field_names(response, 'Tender {} not found'.format("f" * 32)))) @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_tender_error(self, client_class_mock): client_class_mock.return_value.extract_credentials.side_effect = ResourceError(mock.Mock(status_code=555)) self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token'), status=555 ) self.assertEqual(response.content_type, 'application/json') self.assertEqual( response.json, {'status': 'error', 'errors': [ {'location': 'body', 'name': 'data', 'description': 'Unsuccessful tender request'} ]} ) @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_header_access_token(self, client_class_mock): client_class_mock.return_value.extract_credentials.return_value = { 'data': {'tender_token': sha512(b'tender_token').hexdigest()} } self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials'.format(self.monitoring_id, 'tender_token'), headers={'X-access-token': 'tender_token'} ) self.assertEqual(response.status_code, 200) self.assertEqual(response.content_type, 'application/json') self.assertIn('access', response.json) @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_header_wrong_access_token(self, client_class_mock): client_class_mock.return_value.extract_credentials.return_value = { 'data': {'tender_token': sha512(b'tender_token').hexdigest()} } self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials'.format(self.monitoring_id, 'tender_token'), headers={'X-access-token': 'wrong_token'}, status=403 ) self.assertEqual(response.status_code, 403) self.assertEqual(response.content_type, 'application/json') @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_body_access_token(self, client_class_mock): client_class_mock.return_value.extract_credentials.return_value = { 'data': { 'tender_token': sha512(b'tender_token').hexdigest() } } self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials'.format(self.monitoring_id, 'tender_token'), {'access': {'token': 'tender_token'}} ) self.assertEqual(response.status_code, 200) self.assertEqual(response.content_type, 'application/json') self.assertIn('access', response.json) @mock.patch('openprocurement.audit.monitoring.validation.TendersClient') def test_credentials_body_wrong_access_token(self, client_class_mock): client_class_mock.return_value.extract_credentials.return_value = { 'data': {'tender_token': sha512(b'tender_token').hexdigest()} } self.app.authorization = ('Basic', (self.broker_name, self.broker_pass)) response = self.app.patch_json( '/monitorings/{}/credentials'.format(self.monitoring_id, 'tender_token'), {'access': {'token': 'wrong_token'}}, status=403 ) self.assertEqual(response.status_code, 403) self.assertEqual(response.content_type, 'application/json')

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4284f31df9ef9a0af62057d2fe2b84c4f3a02d3a

174

py

Python

src/util.py

cao5zy/ali_mini_program_component_helper

53d82595337fd18f5b5a9d8fc5dfd45ddc6322ec

[ "MIT" ]

null

src/util.py

cao5zy/ali_mini_program_component_helper

53d82595337fd18f5b5a9d8fc5dfd45ddc6322ec

[ "MIT" ]

1

2019-04-07T13:02:23.000Z

src/util.py

cao5zy/ali_mini_program_component_helper

53d82595337fd18f5b5a9d8fc5dfd45ddc6322ec

[ "MIT" ]

null

import os import shutil def init_with_template(root_folder, app_name): shutil.copytree(os.path.join('./tests/templates', app_name), os.path.join(root_folder, app_name))

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109

py

Python

integration/tests_ok/assert_base64.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

integration/tests_ok/assert_base64.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

integration/tests_ok/assert_base64.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

from app import app @app.route("/assert-base64") def assert_base64(): return "line1\nline2\r\nline3\n"

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c429f7cc7f2fe49769a27e5b6bf29d8d6528bd6d

17,700

py

Python

tripleoclient/tests/v1/undercloud/test_backup.py

paramite/python-tripleoclient

2d7cf1b8061eaaf6fc4b31be4490586a1f80133d

[ "Apache-2.0" ]

39

2015-09-08T14:34:36.000Z

2022-02-20T21:00:44.000Z

tripleoclient/tests/v1/undercloud/test_backup.py

paramite/python-tripleoclient

2d7cf1b8061eaaf6fc4b31be4490586a1f80133d

[ "Apache-2.0" ]

1

2021-02-28T06:06:29.000Z

tripleoclient/tests/v1/undercloud/test_backup.py

paramite/python-tripleoclient

2d7cf1b8061eaaf6fc4b31be4490586a1f80133d

[ "Apache-2.0" ]

33

2015-10-01T17:53:04.000Z

2022-03-10T11:50:38.000Z

# Copyright 2018 Red Hat, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # from unittest import mock from osc_lib.tests import utils from tripleoclient import constants from tripleoclient.tests import fakes from tripleoclient.v1 import undercloud_backup from unittest.mock import call class TestUndercloudBackup(utils.TestCommand): def setUp(self): super(TestUndercloudBackup, self).setUp() # Get the command object to test app_args = mock.Mock() app_args.verbose_level = 1 self.app.options = fakes.FakeOptions() self.cmd = undercloud_backup.BackupUndercloud(self.app, app_args) self.app.client_manager.workflow_engine = mock.Mock() self.workflow = self.app.client_manager.workflow_engine self.inventory = '/tmp/test_inventory.yaml' self.file = open(self.inventory, 'w').close() @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_legacy_withargs(self, mock_playbook): arglist = [ '--add-path', '/tmp/foo.yaml', '--add-path', '/tmp/bar.yaml' ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook=mock.ANY, inventory=mock.ANY, tags=None, skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars={'sources_path': '/home/stack/,/tmp/bar.yaml,/tmp/foo.yaml'}) @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_withargs_remove(self, mock_playbook): arglist = [ '--add-path', '/tmp/foo.yaml', '--exclude-path', '/tmp/bar.yaml', '--exclude-path', '/home/stack/', '--add-path', '/tmp/bar.yaml' ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook=mock.ANY, inventory=mock.ANY, tags=None, skip_tags=None, verbosity=3, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, extra_vars={'sources_path': '/tmp/foo.yaml'}) @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_withargs_remove_double(self, mock_playbook): arglist = [ '--add-path', '/tmp/foo.yaml', '--add-path', '/tmp/bar.yaml', '--exclude-path', '/tmp/foo.yaml', '--exclude-path', '/tmp/foo.yaml' ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook=mock.ANY, inventory=mock.ANY, tags=None, skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars={'sources_path': '/home/stack/,/tmp/bar.yaml'}) @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_withargs_remove_unex(self, mock_playbook): arglist = [ '--add-path', '/tmp/foo.yaml', '--exclude-path', '/tmp/non-existing-path.yaml' ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook=mock.ANY, inventory=mock.ANY, tags=None, skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars={'sources_path': '/home/stack/,/tmp/foo.yaml'}) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_noargs(self, mock_playbook, mock_access, mock_isfile): arglist = [] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='cli-undercloud-backup.yaml', inventory=parsed_args.inventory, tags='bar_create_recover_image', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_init(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--init' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='prepare-undercloud-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_rear', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_init_nfs(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--init', 'nfs' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='prepare-nfs-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_nfs_server', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_setup_nfs(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--setup-nfs' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='prepare-nfs-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_nfs_server', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_db_only(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--db-only' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='cli-undercloud-db-backup.yaml', inventory=parsed_args.inventory, tags=None, skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_setup_rear(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--setup-rear' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='prepare-undercloud-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_rear', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_setup_rear_extra_vars_inline(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--setup-rear', '--extra-vars', '{"tripleo_backup_and_restore_nfs_server": "192.168.24.1"}' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) extra_vars_dict = { 'tripleo_backup_and_restore_nfs_server': '192.168.24.1' } self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='prepare-undercloud-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_rear', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=extra_vars_dict ) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_db_only_with_setup_options(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--db-only', '--setup-nfs', '--setup-rear' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='cli-undercloud-db-backup.yaml', inventory=parsed_args.inventory, tags=None, skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_setup_nfs_rear_with_inventory(self, mock_playbook): arglist = [ '--setup-nfs', '--setup-rear', '--inventory', self.inventory ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) calls = [call(workdir=mock.ANY, playbook='prepare-nfs-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_nfs_server', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None), call(workdir=mock.ANY, playbook='prepare-undercloud-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_rear', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None)] mock_playbook.assert_has_calls(calls) @mock.patch('os.path.isfile') @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_setup_nfs_with_extra_vars(self, mock_playbook, mock_access, mock_isfile): arglist = [ '--setup-nfs', '--extra-vars', '/tmp/test_vars.yaml' ] verifylist = [] mock_isfile.return_value = True mock_access.return_value = True parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='prepare-nfs-backup.yaml', inventory=parsed_args.inventory, tags='bar_setup_nfs_server', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars='/tmp/test_vars.yaml' ) @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_inventory(self, mock_playbook): arglist = [ '--inventory', self.inventory ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) mock_playbook.assert_called_once_with( workdir=mock.ANY, playbook='cli-undercloud-backup.yaml', inventory=parsed_args.inventory, tags='bar_create_recover_image', skip_tags=None, playbook_dir=constants.ANSIBLE_TRIPLEO_PLAYBOOKS, verbosity=3, extra_vars=None ) @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_no_inventory(self, mock_playbook): arglist = [ '--inventory', '/tmp/no_inventory.yaml' ] verifylist = [] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.assertRaisesRegex( RuntimeError, 'The inventory file', self.cmd.take_action, parsed_args) @mock.patch('os.access') @mock.patch('tripleoclient.utils.run_ansible_playbook', autospec=True) def test_undercloud_backup_no_readable_inventory(self, mock_playbook, mock_access): arglist = [ '--inventory', self.inventory ] verifylist = [] mock_access.return_value = False parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.assertRaisesRegex( RuntimeError, 'The inventory file', self.cmd.take_action, parsed_args)

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7

c43609c38b53e3d69093bbe82a0d5192272ac43b

19,312

py

Python

sdk/timeseriesinsights/azure-mgmt-timeseriesinsights/azure/mgmt/timeseriesinsights/operations/_access_policies_operations.py

anuchandy/azure-sdk-for-python

589b9890554ebf261aa2184e8f1c6507f01a207c

[ "MIT" ]

null

sdk/timeseriesinsights/azure-mgmt-timeseriesinsights/azure/mgmt/timeseriesinsights/operations/_access_policies_operations.py

anuchandy/azure-sdk-for-python

589b9890554ebf261aa2184e8f1c6507f01a207c

[ "MIT" ]

null

sdk/timeseriesinsights/azure-mgmt-timeseriesinsights/azure/mgmt/timeseriesinsights/operations/_access_policies_operations.py

anuchandy/azure-sdk-for-python

589b9890554ebf261aa2184e8f1c6507f01a207c

[ "MIT" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError from .. import models class AccessPoliciesOperations(object): """AccessPoliciesOperations operations. You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: Version of the API to be used with the client request. Constant value: "2017-11-15". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = "2017-11-15" self.config = config def create_or_update( self, resource_group_name, environment_name, access_policy_name, parameters, custom_headers=None, raw=False, **operation_config): """Create or update an access policy in the specified environment. :param resource_group_name: Name of an Azure Resource group. :type resource_group_name: str :param environment_name: The name of the Time Series Insights environment associated with the specified resource group. :type environment_name: str :param access_policy_name: Name of the access policy. :type access_policy_name: str :param parameters: Parameters for creating an access policy. :type parameters: ~azure.mgmt.timeseriesinsights.models.AccessPolicyCreateOrUpdateParameters :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AccessPolicyResource or ClientRawResponse if raw=true :rtype: ~azure.mgmt.timeseriesinsights.models.AccessPolicyResource or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.create_or_update.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'environmentName': self._serialize.url("environment_name", environment_name, 'str'), 'accessPolicyName': self._serialize.url("access_policy_name", access_policy_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'AccessPolicyCreateOrUpdateParameters') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 201]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('AccessPolicyResource', response) if response.status_code == 201: deserialized = self._deserialize('AccessPolicyResource', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.TimeSeriesInsights/environments/{environmentName}/accessPolicies/{accessPolicyName}'} def get( self, resource_group_name, environment_name, access_policy_name, custom_headers=None, raw=False, **operation_config): """Gets the access policy with the specified name in the specified environment. :param resource_group_name: Name of an Azure Resource group. :type resource_group_name: str :param environment_name: The name of the Time Series Insights environment associated with the specified resource group. :type environment_name: str :param access_policy_name: The name of the Time Series Insights access policy associated with the specified environment. :type access_policy_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AccessPolicyResource or ClientRawResponse if raw=true :rtype: ~azure.mgmt.timeseriesinsights.models.AccessPolicyResource or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.get.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'environmentName': self._serialize.url("environment_name", environment_name, 'str'), 'accessPolicyName': self._serialize.url("access_policy_name", access_policy_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('AccessPolicyResource', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.TimeSeriesInsights/environments/{environmentName}/accessPolicies/{accessPolicyName}'} def update( self, resource_group_name, environment_name, access_policy_name, description=None, roles=None, custom_headers=None, raw=False, **operation_config): """Updates the access policy with the specified name in the specified subscription, resource group, and environment. :param resource_group_name: Name of an Azure Resource group. :type resource_group_name: str :param environment_name: The name of the Time Series Insights environment associated with the specified resource group. :type environment_name: str :param access_policy_name: The name of the Time Series Insights access policy associated with the specified environment. :type access_policy_name: str :param description: An description of the access policy. :type description: str :param roles: The list of roles the principal is assigned on the environment. :type roles: list[str or ~azure.mgmt.timeseriesinsights.models.AccessPolicyRole] :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AccessPolicyResource or ClientRawResponse if raw=true :rtype: ~azure.mgmt.timeseriesinsights.models.AccessPolicyResource or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ access_policy_update_parameters = models.AccessPolicyUpdateParameters(description=description, roles=roles) # Construct URL url = self.update.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'environmentName': self._serialize.url("environment_name", environment_name, 'str'), 'accessPolicyName': self._serialize.url("access_policy_name", access_policy_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(access_policy_update_parameters, 'AccessPolicyUpdateParameters') # Construct and send request request = self._client.patch(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('AccessPolicyResource', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.TimeSeriesInsights/environments/{environmentName}/accessPolicies/{accessPolicyName}'} def delete( self, resource_group_name, environment_name, access_policy_name, custom_headers=None, raw=False, **operation_config): """Deletes the access policy with the specified name in the specified subscription, resource group, and environment. :param resource_group_name: Name of an Azure Resource group. :type resource_group_name: str :param environment_name: The name of the Time Series Insights environment associated with the specified resource group. :type environment_name: str :param access_policy_name: The name of the Time Series Insights access policy associated with the specified environment. :type access_policy_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.delete.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'environmentName': self._serialize.url("environment_name", environment_name, 'str'), 'accessPolicyName': self._serialize.url("access_policy_name", access_policy_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.TimeSeriesInsights/environments/{environmentName}/accessPolicies/{accessPolicyName}'} def list_by_environment( self, resource_group_name, environment_name, custom_headers=None, raw=False, **operation_config): """Lists all the available access policies associated with the environment. :param resource_group_name: Name of an Azure Resource group. :type resource_group_name: str :param environment_name: The name of the Time Series Insights environment associated with the specified resource group. :type environment_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AccessPolicyListResponse or ClientRawResponse if raw=true :rtype: ~azure.mgmt.timeseriesinsights.models.AccessPolicyListResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.list_by_environment.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'environmentName': self._serialize.url("environment_name", environment_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('AccessPolicyListResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized list_by_environment.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.TimeSeriesInsights/environments/{environmentName}/accessPolicies'}

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false

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0

null

0

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1

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null

0

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c438d839514ece50d8bd5f332a3290ab4c2d2541

6,883

py

Python

gypse/constants.py

aeroxis/gypsy

bfcdb64e9ca61fac6a2b41780b11e87c7df759b2

[ "MIT" ]

3

2019-04-10T22:02:36.000Z

2020-12-13T21:29:28.000Z

gypse/constants.py

aeroxis/gypsy

bfcdb64e9ca61fac6a2b41780b11e87c7df759b2

[ "MIT" ]

null

gypse/constants.py

aeroxis/gypsy

bfcdb64e9ca61fac6a2b41780b11e87c7df759b2

[ "MIT" ]

null

import os DEFAULT_LOGGER_NAME = 'gypse' DEFAULT_CONFIG_HOME = os.path.expanduser('~/.gypse') # Regular Expressions that will help us REGEX_URL = "(https?:\/\/(?:www\.|(?!www))[a-zA-Z0-9][a-zA-Z0-9-]+[a-zA-Z0-9]\.[^\s]{2,}|www\.[a-zA-Z0-9][a-zA-Z0-9-]+[a-zA-Z0-9]\.[^\s]{2,}|https?:\/\/(?:www\.|(?!www))[a-zA-Z0-9]\.[^\s]{2,}|www\.[a-zA-Z0-9]\.[^\s]{2,})" REGEX_PHONE = "[\+]?(\+\d{1,2}\s)?$?\d{3}$?[\s.-]?\d{3}[\s.-]?\d{4}" REGEX_EMAIL = """(?:(?:\r\n)?[ \t])*(?:(?:(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t] )+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?: \r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:( ?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*))*@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\0 31]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\ ](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+ (?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?: (?:\r\n)?[ \t])*))*|(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z |(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n) ?[ \t])*)*\<(?:(?:\r\n)?[ \t])*(?:@(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\ r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n) ?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t] )*))*(?:,@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])* )(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t] )+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*) *:(?:(?:\r\n)?[ \t])*)?(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+ |\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r \n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?: \r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t ]))*"(?:(?:\r\n)?[ \t])*))*@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031 ]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\]( ?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(? :(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(? :\r\n)?[ \t])*))*\>(?:(?:\r\n)?[ \t])*)|(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(? :(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)? [ \t]))*"(?:(?:\r\n)?[ \t])*)*:(?:(?:\r\n)?[ \t])*(?:(?:(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]| \\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<> @,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|" (?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*))*@(?:(?:\r\n)?[ \t] )*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\ ".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(? :[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[ \]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*|(?:[^()<>@,;:\\".\[\] \000- \031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|( ?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*)*\<(?:(?:\r\n)?[ \t])*(?:@(?:[^()<>@,; :\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([ ^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\" .\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\ ]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*(?:,@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\ [\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\ r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\] |\\.)*\](?:(?:\r\n)?[ \t])*))*)*:(?:(?:\r\n)?[ \t])*)?(?:[^()<>@,;:\\".\[\] \0 00-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\ .|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[^()<>@, ;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|"(? :[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*))*@(?:(?:\r\n)?[ \t])* (?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\". \[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t])*(?:[ ^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\] ]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*\>(?:(?:\r\n)?[ \t])*)(?:,\s*( ?:(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\ ".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*)(?:\.(?:( ?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[ \["()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t ])*))*@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t ])+|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(? :\.(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+| \Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*|(?: [^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\".\[\ ]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*)*\<(?:(?:\r\n) ?[ \t])*(?:@(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\[" ()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n) ?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<> @,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*(?:,@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@, ;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\.(?:(?:\r\n)?[ \t] )*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\ ".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*)*:(?:(?:\r\n)?[ \t])*)? (?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\["()<>@,;:\\". \[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t])*)(?:\.(?:(?: \r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z|(?=[\[ "()<>@,;:\\".\[\]]))|"(?:[^\"\r\\]|\\.|(?:(?:\r\n)?[ \t]))*"(?:(?:\r\n)?[ \t]) *))*@(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t]) +|\Z|(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*)(?:\ .(?:(?:\r\n)?[ \t])*(?:[^()<>@,;:\\".\[\] \000-\031]+(?:(?:(?:\r\n)?[ \t])+|\Z |(?=[\["()<>@,;:\\".\[\]]))|\[([^\[\]\r\\]|\\.)*\](?:(?:\r\n)?[ \t])*))*\>(?:( ?:\r\n)?[ \t])*))*)?;\s*)""".strip()

74.010753

221

0.139474

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6,883

1.461656

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0.281217

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74.010753

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null

1

0

1

0

1

null

0

13

c44d3a65d02e6dfe44c848ced9733d0face8178d

9,054

py

Python

test/components/scheduler/promises/test_2_3_2.py

rerobins/rhobot_framework

f97d1cedc929387f69448e41346a0d15fe202eef

[ "BSD-3-Clause" ]

null

test/components/scheduler/promises/test_2_3_2.py

rerobins/rhobot_framework

f97d1cedc929387f69448e41346a0d15fe202eef

[ "BSD-3-Clause" ]

null

test/components/scheduler/promises/test_2_3_2.py

rerobins/rhobot_framework

f97d1cedc929387f69448e41346a0d15fe202eef

[ "BSD-3-Clause" ]

null

""" "2.3.2: If `x` is a promise, adopt its state" https://github.com/promises-aplus/promises-tests/blob/2.1.1/lib/tests/2.3.2.js """ from sleekxmpp.test import SleekTest import unittest import threading dummy = {'dummy': 'dummy'} sentinel = {'sentinel': 'sentinel'} class Promise_2_3_2_1_TestCase(SleekTest): """ 2.3.2.1: If `x` is pending, `promise` must remain pending until `x` is fulfilled or rejected. """ dummy = {} def setUp(self): from rhobot.components import register_core_plugins register_core_plugins() self.session = {} self.stream_start(plugins=['rho_bot_scheduler', ]) self.scheduler = self.xmpp['rho_bot_scheduler'] def tearDown(self): self.stream_close() def test_fulfilled(self): """ The promise shouldn't resolve until the child promise is resolved. :return: """ def create_child_promise(value): return self.scheduler.promise() event = threading.Event() start_promise = self.scheduler.promise() start_promise.resolved(dummy) wait_for_promise = start_promise.then(create_child_promise) #### TEST COMPONENT #### self.session['rejected'] = False self.session['fulfilled'] = False def waiting_fulfilled(value): self.session['fulfilled'] = True event.set() def waiting_rejected(value): self.session['rejected'] = True event.set() wait_for_promise.then(waiting_fulfilled, waiting_rejected) #### END TEST COMPONENT #### self.assertFalse(event.wait(1.0)) self.assertFalse(self.session['rejected']) self.assertFalse(self.session['fulfilled']) def test_rejected(self): """ The promise shouldn't resolve until the child promise is resolved. :return: """ self.session['rejected'] = False self.session['fulfilled'] = False def create_child_promise(value): return self.scheduler.promise() event = threading.Event() start_promise = self.scheduler.promise() start_promise.rejected(dummy) def waiting_fulfilled(value): self.session['fulfilled'] = True event.set() def waiting_rejected(value): self.session['rejected'] = True event.set() wait_for_promise = start_promise.then(None, create_child_promise) wait_for_promise.then(waiting_fulfilled, waiting_rejected) self.assertFalse(event.wait(1.0)) self.assertFalse(self.session['rejected']) self.assertFalse(self.session['fulfilled']) class Promise_2_3_2_2_TestCase(SleekTest): """ 2.3.2.2: If/when `x` is fulfilled, fulfill `promise` with the same value. """ def setUp(self): self.session = {} self.stream_start(plugins=[]) self.xmpp.register_plugin('rho_bot_scheduler', module='rhobot.components') self.scheduler = self.xmpp['rho_bot_scheduler'] def tearDown(self): self.stream_close() def test_already_fulfilled_fulfilled(self): def create_child_promise(value): promise = self.scheduler.promise() promise.resolved(sentinel) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.resolved(dummy) wait_for_promise = start_promise.then(create_child_promise) #### TEST COMPONENT #### def waiting_fulfilled(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(waiting_fulfilled) #### END TEST COMPONENT #### self.assertTrue(event.wait()) def test_already_fulfilled_rejected(self): def create_child_promise(value): promise = self.scheduler.promise() promise.resolved(sentinel) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.rejected(dummy) wait_for_promise = start_promise.then(None, create_child_promise) #### TEST COMPONENT #### def waiting_fulfilled(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(waiting_fulfilled) #### END TEST COMPONENT #### self.assertTrue(event.wait()) def test_eventually_fulfilled_fulfilled(self): def create_child_promise(value): promise = self.scheduler.promise() self.scheduler.schedule_task(lambda: promise.resolved(sentinel), delay=0.05) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.resolved(dummy) wait_for_promise = start_promise.then(create_child_promise) #### TEST COMPONENT #### def waiting_fulfilled(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(waiting_fulfilled) #### END TEST COMPONENT #### self.assertTrue(event.wait()) def test_eventually_fulfilled_rejected(self): def create_child_promise(value): promise = self.scheduler.promise() self.scheduler.schedule_task(lambda: promise.resolved(sentinel), delay=0.05) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.rejected(dummy) wait_for_promise = start_promise.then(None, create_child_promise) #### TEST COMPONENT #### def waiting_fulfilled(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(waiting_fulfilled) #### END TEST COMPONENT #### self.assertTrue(event.wait()) class Promise_2_3_2_3_TestCase(SleekTest): """ 2.3.2.2: If/when `x` is fulfilled, fulfill `promise` with the same value. """ def setUp(self): self.session = {} self.stream_start(plugins=[]) self.xmpp.register_plugin('rho_bot_scheduler', module='rhobot.components') self.scheduler = self.xmpp['rho_bot_scheduler'] def tearDown(self): self.stream_close() def test_already_rejected_fulfilled(self): def create_child_promise(value): promise = self.scheduler.promise() promise.rejected(sentinel) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.resolved(dummy) wait_for_promise = start_promise.then(create_child_promise) #### TEST COMPONENT #### def waiting_rejected(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(None, waiting_rejected) #### END TEST COMPONENT #### self.assertTrue(event.wait()) def test_already_rejected_rejected(self): def create_child_promise(value): promise = self.scheduler.promise() promise.rejected(sentinel) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.rejected(dummy) wait_for_promise = start_promise.then(None, create_child_promise) #### TEST COMPONENT #### def waiting_rejected(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(None, waiting_rejected) #### END TEST COMPONENT #### self.assertTrue(event.wait()) def test_eventually_rejected_fulfilled(self): def create_child_promise(value): promise = self.scheduler.promise() self.scheduler.schedule_task(lambda: promise.rejected(sentinel), delay=0.05) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.resolved(dummy) wait_for_promise = start_promise.then(create_child_promise) #### TEST COMPONENT #### def waiting_rejected(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(None, waiting_rejected) #### END TEST COMPONENT #### self.assertTrue(event.wait()) def test_eventually_fulfilled_rejected(self): def create_child_promise(value): promise = self.scheduler.promise() self.scheduler.schedule_task(lambda: promise.rejected(sentinel), delay=0.05) return promise event = threading.Event() start_promise = self.scheduler.promise() start_promise.rejected(dummy) wait_for_promise = start_promise.then(None, create_child_promise) #### TEST COMPONENT #### def waiting_rejected(value): self.assertIs(value, sentinel) event.set() wait_for_promise.then(None, waiting_rejected) #### END TEST COMPONENT #### self.assertTrue(event.wait())

29.491857

97

0.626243

985

9,054

5.550254

0.093401

0.06585

0.080483

0.088897

0.92976

0.917871

0.908908

0.893543

0.875617

0

0.007353

0.263972

9,054

307

98

29.491857

0.813025

0.092998

0

0.889503

0

0.033191

0

0.121547

1

0.209945

false

0

0.022099

0.01105

0.309392

0

null

0

1

0

1

0

null

0

1

0

8

c4541b6a7888ac4b6f146efb805c1ebbb8ca998b

2,547

py

Python

database/userdatabase.py

BradleyPelton/StressTestingStore

0a1651e0f7cfc02fa57f673cec502cba0f6dd44d

[ "MIT" ]

null

database/userdatabase.py

BradleyPelton/StressTestingStore

0a1651e0f7cfc02fa57f673cec502cba0f6dd44d

[ "MIT" ]

null

database/userdatabase.py

BradleyPelton/StressTestingStore

0a1651e0f7cfc02fa57f673cec502cba0f6dd44d

[ "MIT" ]

null

# UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS # UNTESTED. USERDATABASE IS A WORK IN PROGRESS import psycopg2 import secrets # I need to connect to a user database that stores credentials # try: # connection = psycopg2.connect(user=secrets.DATABASE_USER, # password=secrets.DATABASE_USER_PASSWORD, # host=secrets.DATABASE_HOST_IP, # port=secrets.DATABASE_PORT, # database="locustDB") # cursor = connection.cursor() # # Print PostgreSQL Connection properties # print(connection.get_dsn_parameters(), "\n") # # Print PostgreSQL version # cursor.execute("SELECT * FROM user_credential;") # # record = cursor.fetchone() # records = cursor.fetchall() # print(records) # except (Exception, psycopg2.Error) as error: # print("Error while connecting to PostgreSQL", error) # finally: # # closing database connection. # if(connection): # cursor.close() # connection.close() # print("PostgreSQL connection is closed") def select_all_users(): """return a dictionary of all rows in the user_credentials table""" try: connection = psycopg2.connect(user=secrets.DATABASE_USER, password=secrets.DATABASE_USER_PASSWORD, host=secrets.DATABASE_HOST_IP, port=secrets.DATABASE_PORT, database="locustDB") cursor = connection.cursor() # Print PostgreSQL Connection properties print(connection.get_dsn_parameters(), "\n") # Print PostgreSQL version cursor.execute("SELECT * FROM user_credential;") records = cursor.fetchall() user_dict = {tup[1]: {'password': tup[2], 'cookies': ''} for tup in records} print(user_dict) except (Exception, psycopg2.Error) as error: print("Error while connecting to PostgreSQL", error) finally: # closing database connection. if(connection): cursor.close() connection.close() print("PostgreSQL connection is closed") select_all_users()

35.873239

84

0.616019

263

2,547

5.870722

0.262357

0.103627

0.11399

0.119171

0.810881

0

0.003908

0.29682

2,547

71

85

35.873239

0.85818

0.571653

0

0.116301

0

1

0.043478

false

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6711054349ca6d474b8705e7dc3cb7632f6882e5

23,407

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Python

turbo-codes/tests/channelcoding/test_turbo_integration.py

tripods-xai/isit-2022

024a0ccb59f7d4b2c9e88ef96d4a9c57712d6dfd

[ "MIT" ]

1

2022-02-23T14:59:14.000Z

turbo-codes/tests/channelcoding/test_turbo_integration.py

tripods-xai/isit-2022

024a0ccb59f7d4b2c9e88ef96d4a9c57712d6dfd

[ "MIT" ]

null

turbo-codes/tests/channelcoding/test_turbo_integration.py

tripods-xai/isit-2022

024a0ccb59f7d4b2c9e88ef96d4a9c57712d6dfd

[ "MIT" ]

null

import tensorflow as tf import numpy as np import commpy.channelcoding as cc from src.channelcoding.channels import AWGN from src.channelcoding.encoder_decoders import TurboNonsystematicEncoderDecoder, TurboSystematicEncoderDecoder from src.channelcoding.encoders import AffineConvolutionalCode, TrellisCode from src.channelcoding.bcjr import BCJRDecoder, HazzysTurboDecoder, SystematicTurboRepeater, TurboDecoder from src.channelcoding.interleavers import PermuteInterleaver from src.codes import turboae_binary_exact_nonsys from tests.channelcoding.utils import FixedNPAWGN, FixedNoiseAWGN, NoNoiseAWGN, interleaver_to_commpy, vhazzys_turbo_decode, vsystematic_turbo_encode # def test_channel_randomness(): # sigma = 1 # seed = 0 # channel = FixedNoiseAWGN(sigma, seed) # compare_channel = FixedNPAWGN(sigma, seed) # msg_shape = (10, 20, 1) # np.testing.assert_array_almost_equal(channel(tf.zeros(msg_shape)).numpy(), channel(tf.zeros(msg_shape)).numpy()) # np.testing.assert_array_almost_equal(channel(tf.zeros(msg_shape)).numpy(), compare_channel.corrupt(np.zeros(msg_shape))) # def test_turbo_compare_with_commpy_one_iter_without_noise(): # code = AffineConvolutionalCode(tf.constant([[1, 1, 1], [1, 0, 1]]), tf.constant([0, 0])).to_rc() # sigma = 1. # block_len = 100 # num_iter = 1 # seed = 0 # tf.random.set_seed(seed) # np_msg = np.random.default_rng(seed+1).integers(0, 2, size=(100, 100, 1)) # msg = tf.constant(np_msg, dtype=tf.float32) # # My Code # channel = NoNoiseAWGN(sigma) # # enc_dec = TurboSystematicEncoderDecoder(code1, code2, channel, block_len, False, num_iter) # systematic_code = code.with_systematic() # interleaved_code = code # use_max = False # interleaver = PermuteInterleaver(block_len) # # [Sys, Straight_1,..., Straight_{n-1}, Interleaved_1, ..., Interleaved_{m-1}] # encoder = systematic_code \ # .concat( # interleaver.and_then(interleaved_code) # ) # non_interleaved_bcjr = BCJRDecoder( # systematic_code.trellis, # channel, use_max=use_max # ) # interleaved_bcjr = BCJRDecoder( # interleaved_code.trellis.with_systematic(), # channel, use_max=use_max # ) # decoder = SystematicTurboRepeater( # num_noninterleaved_streams=non_interleaved_bcjr.num_input_channels, # interleaver=interleaver # ).and_then(HazzysTurboDecoder( # decoder1=non_interleaved_bcjr, # decoder2=interleaved_bcjr, # interleaver=interleaver, # num_iter=num_iter # )) # encoder_decoder = encoder \ # .and_then(channel) \ # .and_then(decoder) # tf_encoded = encoder(msg) # tf_received = channel(tf_encoded) # tf_decode_L = decoder(tf_received) # # Commpy # commpy_trellis = cc.Trellis(np.array([2]), np.array([[7, 5]]), feedback=7) # commpy_interleaver = interleaver_to_commpy(interleaver) # commpy_out = vsystematic_turbo_encode(np_msg, commpy_trellis, commpy_trellis, commpy_interleaver) # np_received = 2. * commpy_out - 1. # np_received_repeated = np.concatenate([np_received[:, :, 0:2], np_received[:, commpy_interleaver.p_array, 0:1], np_received[:, :, 2:3]], axis=-1) # commpy_L = vhazzys_turbo_decode(np_received_repeated, commpy_trellis, commpy_trellis, sigma ** 2, num_iter, commpy_interleaver) # np.testing.assert_array_almost_equal(tf_encoded.numpy(), commpy_out) # np.testing.assert_array_almost_equal(tf_received.numpy(), np_received) # np.testing.assert_array_almost_equal(tf_decode_L.numpy(), commpy_L, decimal=5) # np.testing.assert_array_almost_equal(encoder_decoder(msg).numpy(), commpy_L, decimal=5) # complete_encoder_decoder = TurboSystematicEncoderDecoder( # systematic_code, # interleaved_code, # channel, # HazzysTurboDecoder, # block_len, # use_max, # num_iter, # interleaver=interleaver # ) # assert complete_encoder_decoder.rate == (1, 3) # np.testing.assert_array_almost_equal(complete_encoder_decoder(msg).numpy(), commpy_L, decimal=5) # def test_turbo_compare_with_commpy_one_iter_with_noise(): # code = AffineConvolutionalCode(tf.constant([[1, 1, 1], [1, 0, 1]]), tf.constant([0, 0])).to_rc() # sigma = 1. # block_len = 100 # num_iter = 1 # seed = 0 # tf.random.set_seed(seed) # np_msg = np.random.default_rng(seed+1).integers(0, 2, size=(100, 100, 1)) # msg = tf.constant(np_msg, dtype=tf.float32) # # My Code # channel = FixedNoiseAWGN(sigma, seed) # # enc_dec = TurboSystematicEncoderDecoder(code1, code2, channel, block_len, False, num_iter) # systematic_code = code.with_systematic() # interleaved_code = code # use_max = False # interleaver = PermuteInterleaver(block_len) # # [Sys, Straight_1,..., Straight_{n-1}, Interleaved_1, ..., Interleaved_{m-1}] # encoder = systematic_code \ # .concat( # interleaver.and_then(interleaved_code) # ) # non_interleaved_bcjr = BCJRDecoder( # systematic_code.trellis, # channel, use_max=use_max # ) # interleaved_bcjr = BCJRDecoder( # interleaved_code.trellis.with_systematic(), # channel, use_max=use_max # ) # decoder = SystematicTurboRepeater( # num_noninterleaved_streams=non_interleaved_bcjr.num_input_channels, # interleaver=interleaver # ).and_then(HazzysTurboDecoder( # decoder1=non_interleaved_bcjr, # decoder2=interleaved_bcjr, # interleaver=interleaver, # num_iter=num_iter # )) # encoder_decoder = encoder \ # .and_then(channel) \ # .and_then(decoder) # tf_encoded = encoder(msg) # tf_received = channel(tf_encoded) # tf_decode_L = decoder(tf_received) # # Commpy # np_channel = FixedNPAWGN(sigma, seed) # commpy_trellis = cc.Trellis(np.array([2]), np.array([[7, 5]]), feedback=7) # commpy_interleaver = interleaver_to_commpy(interleaver) # commpy_out = vsystematic_turbo_encode(np_msg, commpy_trellis, commpy_trellis, commpy_interleaver) # np_received = np_channel.corrupt(commpy_out) # np_received_repeated = np.concatenate([np_received[:, :, 0:2], np_received[:, commpy_interleaver.p_array, 0:1], np_received[:, :, 2:3]], axis=-1) # commpy_L = vhazzys_turbo_decode(np_received_repeated, commpy_trellis, commpy_trellis, sigma ** 2, num_iter, commpy_interleaver) # np.testing.assert_array_almost_equal(tf_encoded.numpy(), commpy_out) # np.testing.assert_array_almost_equal(tf_received.numpy(), np_received) # np.testing.assert_array_almost_equal(tf_decode_L.numpy(), commpy_L, decimal=5) # np.testing.assert_array_almost_equal(encoder_decoder(msg).numpy(), commpy_L, decimal=5) # complete_encoder_decoder = TurboSystematicEncoderDecoder( # systematic_code, # interleaved_code, # channel, # HazzysTurboDecoder, # block_len, # use_max, # num_iter, # interleaver=interleaver # ) # assert complete_encoder_decoder.rate == (1, 3) # np.testing.assert_array_almost_equal(complete_encoder_decoder(msg).numpy(), commpy_L, decimal=5) # def test_turbo_compare_with_commpy_two_iter_without_noise(): # code = AffineConvolutionalCode(tf.constant([[1, 1, 1], [1, 0, 1]]), tf.constant([0, 0])).to_rc() # sigma = 1. # block_len = 100 # num_iter = 2 # seed = 0 # tf.random.set_seed(seed) # np_msg = np.random.default_rng(seed+1).integers(0, 2, size=(100, 100, 1)) # msg = tf.constant(np_msg, dtype=tf.float32) # # My Code # channel = NoNoiseAWGN(sigma) # # enc_dec = TurboSystematicEncoderDecoder(code1, code2, channel, block_len, False, num_iter) # systematic_code = code.with_systematic() # interleaved_code = code # use_max = False # interleaver = PermuteInterleaver(block_len) # # [Sys, Straight_1,..., Straight_{n-1}, Interleaved_1, ..., Interleaved_{m-1}] # encoder = systematic_code \ # .concat( # interleaver.and_then(interleaved_code) # ) # non_interleaved_bcjr = BCJRDecoder( # systematic_code.trellis, # channel, use_max=use_max # ) # interleaved_bcjr = BCJRDecoder( # interleaved_code.trellis.with_systematic(), # channel, use_max=use_max # ) # decoder = SystematicTurboRepeater( # num_noninterleaved_streams=non_interleaved_bcjr.num_input_channels, # interleaver=interleaver # ).and_then(HazzysTurboDecoder( # decoder1=non_interleaved_bcjr, # decoder2=interleaved_bcjr, # interleaver=interleaver, # num_iter=num_iter # )) # encoder_decoder = encoder \ # .and_then(channel) \ # .and_then(decoder) # tf_encoded = encoder(msg) # tf_received = channel(tf_encoded) # tf_decode_L = decoder(tf_received) # # Commpy # commpy_trellis = cc.Trellis(np.array([2]), np.array([[7, 5]]), feedback=7) # commpy_interleaver = interleaver_to_commpy(interleaver) # commpy_out = vsystematic_turbo_encode(np_msg, commpy_trellis, commpy_trellis, commpy_interleaver) # np_received = 2. * commpy_out - 1. # np_received_repeated = np.concatenate([np_received[:, :, 0:2], np_received[:, commpy_interleaver.p_array, 0:1], np_received[:, :, 2:3]], axis=-1) # commpy_L = vhazzys_turbo_decode(np_received_repeated, commpy_trellis, commpy_trellis, sigma ** 2, num_iter, commpy_interleaver) # np.testing.assert_array_almost_equal(tf_encoded.numpy(), commpy_out) # np.testing.assert_array_almost_equal(tf_received.numpy(), np_received) # np.testing.assert_array_almost_equal(tf_decode_L.numpy(), commpy_L, decimal=4) # np.testing.assert_array_almost_equal(encoder_decoder(msg).numpy(), commpy_L, decimal=4) # complete_encoder_decoder = TurboSystematicEncoderDecoder( # systematic_code, # interleaved_code, # channel, # HazzysTurboDecoder, # block_len, # use_max, # num_iter, # interleaver=interleaver # ) # assert complete_encoder_decoder.rate == (1, 3) # np.testing.assert_array_almost_equal(complete_encoder_decoder(msg).numpy(), commpy_L, decimal=4) # def test_turbo_compare_with_commpy_two_iter_with_noise(): # code = AffineConvolutionalCode(tf.constant([[1, 1, 1], [1, 0, 1]]), tf.constant([0, 0])).to_rc() # sigma = 1. # block_len = 100 # num_iter = 2 # seed = 0 # tf.random.set_seed(seed) # np_msg = np.random.default_rng(seed+1).integers(0, 2, size=(100, 100, 1)) # msg = tf.constant(np_msg, dtype=tf.float32) # # My Code # channel = FixedNoiseAWGN(sigma, seed) # # enc_dec = TurboSystematicEncoderDecoder(code1, code2, channel, block_len, False, num_iter) # systematic_code = code.with_systematic() # interleaved_code = code # use_max = False # interleaver = PermuteInterleaver(block_len) # # [Sys, Straight_1,..., Straight_{n-1}, Interleaved_1, ..., Interleaved_{m-1}] # encoder = systematic_code \ # .concat( # interleaver.and_then(interleaved_code) # ) # non_interleaved_bcjr = BCJRDecoder( # systematic_code.trellis, # channel, use_max=use_max # ) # interleaved_bcjr = BCJRDecoder( # interleaved_code.trellis.with_systematic(), # channel, use_max=use_max # ) # decoder = SystematicTurboRepeater( # num_noninterleaved_streams=non_interleaved_bcjr.num_input_channels, # interleaver=interleaver # ).and_then(HazzysTurboDecoder( # decoder1=non_interleaved_bcjr, # decoder2=interleaved_bcjr, # interleaver=interleaver, # num_iter=num_iter # )) # encoder_decoder = encoder \ # .and_then(channel) \ # .and_then(decoder) # tf_encoded = encoder(msg) # tf_received = channel(tf_encoded) # tf_decode_L = decoder(tf_received) # # Commpy # np_channel = FixedNPAWGN(sigma, seed) # commpy_trellis = cc.Trellis(np.array([2]), np.array([[7, 5]]), feedback=7) # commpy_interleaver = interleaver_to_commpy(interleaver) # commpy_out = vsystematic_turbo_encode(np_msg, commpy_trellis, commpy_trellis, commpy_interleaver) # np_received = np_channel.corrupt(commpy_out) # np_received_repeated = np.concatenate([np_received[:, :, 0:2], np_received[:, commpy_interleaver.p_array, 0:1], np_received[:, :, 2:3]], axis=-1) # commpy_L = vhazzys_turbo_decode(np_received_repeated, commpy_trellis, commpy_trellis, sigma ** 2, num_iter, commpy_interleaver) # np.testing.assert_array_almost_equal(tf_encoded.numpy(), commpy_out) # np.testing.assert_array_almost_equal(tf_received.numpy(), np_received) # np.testing.assert_array_almost_equal(tf_decode_L.numpy(), commpy_L, decimal=4) # np.testing.assert_array_almost_equal(encoder_decoder(msg).numpy(), commpy_L, decimal=4) # complete_encoder_decoder = TurboSystematicEncoderDecoder( # systematic_code, # interleaved_code, # channel, # HazzysTurboDecoder, # block_len, # use_max, # num_iter, # interleaver=interleaver # ) # assert complete_encoder_decoder.rate == (1, 3) # np.testing.assert_array_almost_equal(complete_encoder_decoder(msg).numpy(), commpy_L, decimal=4) # def test_turbo_compare_with_commpy_six_iter_without_noise(): # code = AffineConvolutionalCode(tf.constant([[1, 1, 1], [1, 0, 1]]), tf.constant([0, 0])).to_rc() # sigma = 1. # block_len = 100 # num_iter = 6 # seed = 0 # tf.random.set_seed(seed) # np_msg = np.random.default_rng(seed+1).integers(0, 2, size=(100, 100, 1)) # msg = tf.constant(np_msg, dtype=tf.float32) # # My Code # channel = NoNoiseAWGN(sigma) # # enc_dec = TurboSystematicEncoderDecoder(code1, code2, channel, block_len, False, num_iter) # systematic_code = code.with_systematic() # interleaved_code = code # use_max = False # interleaver = PermuteInterleaver(block_len) # # [Sys, Straight_1,..., Straight_{n-1}, Interleaved_1, ..., Interleaved_{m-1}] # encoder = systematic_code \ # .concat( # interleaver.and_then(interleaved_code) # ) # non_interleaved_bcjr = BCJRDecoder( # systematic_code.trellis, # channel, use_max=use_max # ) # interleaved_bcjr = BCJRDecoder( # interleaved_code.trellis.with_systematic(), # channel, use_max=use_max # ) # decoder = SystematicTurboRepeater( # num_noninterleaved_streams=non_interleaved_bcjr.num_input_channels, # interleaver=interleaver # ).and_then(HazzysTurboDecoder( # decoder1=non_interleaved_bcjr, # decoder2=interleaved_bcjr, # interleaver=interleaver, # num_iter=num_iter # )) # encoder_decoder = encoder \ # .and_then(channel) \ # .and_then(decoder) # tf_encoded = encoder(msg) # tf_received = channel(tf_encoded) # tf_decode_L = decoder(tf_received) # # Commpy # commpy_trellis = cc.Trellis(np.array([2]), np.array([[7, 5]]), feedback=7) # commpy_interleaver = interleaver_to_commpy(interleaver) # commpy_out = vsystematic_turbo_encode(np_msg, commpy_trellis, commpy_trellis, commpy_interleaver) # np_received = 2. * commpy_out - 1. # np_received_repeated = np.concatenate([np_received[:, :, 0:2], np_received[:, commpy_interleaver.p_array, 0:1], np_received[:, :, 2:3]], axis=-1) # commpy_L = vhazzys_turbo_decode(np_received_repeated, commpy_trellis, commpy_trellis, sigma ** 2, num_iter, commpy_interleaver) # np.testing.assert_array_almost_equal(tf_encoded.numpy(), commpy_out) # np.testing.assert_array_almost_equal(tf_received.numpy(), np_received) # np.testing.assert_array_almost_equal(tf_decode_L.numpy(), commpy_L, decimal=3) # np.testing.assert_array_almost_equal(encoder_decoder(msg).numpy(), commpy_L, decimal=3) # complete_encoder_decoder = TurboSystematicEncoderDecoder( # systematic_code, # interleaved_code, # channel, # HazzysTurboDecoder, # block_len, # use_max, # num_iter, # interleaver=interleaver # ) # assert complete_encoder_decoder.rate == (1, 3) # np.testing.assert_array_almost_equal(complete_encoder_decoder(msg).numpy(), commpy_L, decimal=3) # def test_turbo_compare_with_commpy_six_iter_with_noise(): # code = AffineConvolutionalCode(tf.constant([[1, 1, 1], [1, 0, 1]]), tf.constant([0, 0])).to_rc() # sigma = 1. # block_len = 100 # num_iter = 6 # seed = 3 # tf.random.set_seed(seed) # np_msg = np.random.default_rng(seed+1).integers(0, 2, size=(100, 100, 1)) # msg = tf.constant(np_msg, dtype=tf.float32) # # My Code # channel = FixedNoiseAWGN(sigma, seed) # # enc_dec = TurboSystematicEncoderDecoder(code1, code2, channel, block_len, False, num_iter) # systematic_code = code.with_systematic() # interleaved_code = code # use_max = False # interleaver = PermuteInterleaver(block_len) # # [Sys, Straight_1,..., Straight_{n-1}, Interleaved_1, ..., Interleaved_{m-1}] # encoder = systematic_code \ # .concat( # interleaver.and_then(interleaved_code) # ) # non_interleaved_bcjr = BCJRDecoder( # systematic_code.trellis, # channel, use_max=use_max # ) # interleaved_bcjr = BCJRDecoder( # interleaved_code.trellis.with_systematic(), # channel, use_max=use_max # ) # decoder = SystematicTurboRepeater( # num_noninterleaved_streams=non_interleaved_bcjr.num_input_channels, # interleaver=interleaver # ).and_then(HazzysTurboDecoder( # decoder1=non_interleaved_bcjr, # decoder2=interleaved_bcjr, # interleaver=interleaver, # num_iter=num_iter # )) # encoder_decoder = encoder \ # .and_then(channel) \ # .and_then(decoder) # tf_encoded = encoder(msg) # tf_received = channel(tf_encoded) # tf_decode_L = decoder(tf_received) # # Commpy # np_channel = FixedNPAWGN(sigma, seed) # commpy_trellis = cc.Trellis(np.array([2]), np.array([[7, 5]]), feedback=7) # commpy_interleaver = interleaver_to_commpy(interleaver) # commpy_out = vsystematic_turbo_encode(np_msg, commpy_trellis, commpy_trellis, commpy_interleaver) # np_received = np_channel.corrupt(commpy_out) # np_received_repeated = np.concatenate([np_received[:, :, 0:2], np_received[:, commpy_interleaver.p_array, 0:1], np_received[:, :, 2:3]], axis=-1) # commpy_L = vhazzys_turbo_decode(np_received_repeated, commpy_trellis, commpy_trellis, sigma ** 2, num_iter, commpy_interleaver) # np.testing.assert_array_almost_equal(tf_encoded.numpy(), commpy_out) # np.testing.assert_array_almost_equal(tf_received.numpy(), np_received) # np.testing.assert_array_almost_equal(tf_decode_L.numpy(), commpy_L, decimal=3) # np.testing.assert_array_almost_equal(encoder_decoder(msg).numpy(), commpy_L, decimal=3) # complete_encoder_decoder = TurboSystematicEncoderDecoder( # systematic_code, # interleaved_code, # channel, # HazzysTurboDecoder, # block_len, # use_max, # num_iter, # interleaver=interleaver # ) # assert complete_encoder_decoder.rate == (1, 3) # np.testing.assert_array_almost_equal(complete_encoder_decoder(msg).numpy(), commpy_L, decimal=2) # def test_turboae_exact_nonsys_trellis_compare_one_iter(): # block_len = 100 # num_iter = 1 # encoder_spec = turboae_binary_exact_nonsys() # tf_interleaver = PermuteInterleaver(block_len) # channel = FixedNoiseAWGN(1., 0) # conv_enc_dec = TurboNonsystematicEncoderDecoder( # encoder_spec.noninterleaved_code, # encoder_spec.interleaved_code, # channel, # TurboDecoder, # block_len, # False, # num_iter, # interleaver=tf_interleaver # ) # trellis_enc_dec = TurboNonsystematicEncoderDecoder( # TrellisCode(encoder_spec.noninterleaved_code.trellis), # TrellisCode(encoder_spec.interleaved_code.trellis), # channel, # TurboDecoder, # block_len, # False, # num_iter, # interleaver=tf_interleaver # ) # msg = tf.random.uniform((100, block_len, 1), dtype=tf.int32, maxval=2) # assert tf.reduce_all(conv_enc_dec(msg) == trellis_enc_dec(msg)) # def test_turboae_exact_nonsys_trellis_compare_two_iter(): # block_len = 100 # num_iter = 2 # encoder_spec = turboae_binary_exact_nonsys() # tf_interleaver = PermuteInterleaver(block_len) # channel = FixedNoiseAWGN(1., 0) # conv_enc_dec = TurboNonsystematicEncoderDecoder( # encoder_spec.noninterleaved_code, # encoder_spec.interleaved_code, # channel, # TurboDecoder, # block_len, # False, # num_iter, # interleaver=tf_interleaver # ) # trellis_enc_dec = TurboNonsystematicEncoderDecoder( # TrellisCode(encoder_spec.noninterleaved_code.trellis), # TrellisCode(encoder_spec.interleaved_code.trellis), # channel, # TurboDecoder, # block_len, # False, # num_iter, # interleaver=tf_interleaver # ) # msg = tf.random.uniform((100, block_len, 1), dtype=tf.int32, maxval=2) # assert tf.reduce_all(conv_enc_dec(msg) == trellis_enc_dec(msg)) @tf.function def run_enc_dec(enc_dec, msg): return enc_dec(msg) def test_turboae_exact_nonsys_trellis_compare_six_iter(): block_len = 100 num_iter = 1 encoder_spec = turboae_binary_exact_nonsys() tf_interleaver = PermuteInterleaver(block_len) channel = FixedNoiseAWGN(1., 0, (1000, block_len, 3)) conv_enc_dec = TurboNonsystematicEncoderDecoder( encoder_spec.noninterleaved_code, encoder_spec.interleaved_code, channel, TurboDecoder, block_len, False, num_iter, interleaver=tf_interleaver ) trellis_enc_dec = TurboNonsystematicEncoderDecoder( TrellisCode(encoder_spec.noninterleaved_code.trellis), TrellisCode(encoder_spec.interleaved_code.trellis), channel, TurboDecoder, block_len, False, num_iter, interleaver=tf_interleaver ) msg = tf.random.uniform((1000, block_len, 1), dtype=tf.int32, maxval=2) conv_conf = run_enc_dec(conv_enc_dec, msg) trellis_conf = run_enc_dec(trellis_enc_dec, msg) assert tf.reduce_all(conv_conf == trellis_conf) conv_decoded = tf.cast(conv_conf > 0, dtype=tf.int32) conv_num_bit_errors = tf.reduce_sum(tf.cast(tf.not_equal(msg, conv_decoded), tf.float32), axis=1)[:, 0] trellis_decoded = tf.cast(trellis_conf > 0, dtype=tf.int32) trellis_num_bit_errors = tf.reduce_sum(tf.cast(tf.not_equal(msg, trellis_decoded), tf.float32), axis=1)[:, 0] print(f"Conv BER: {np.sum(conv_num_bit_errors.numpy()) / (100 * block_len)}") print(f"Trellis BER: {np.sum(trellis_num_bit_errors.numpy()) / (100 * block_len)}")

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67182f361519be668513b346144794e2b7e7a7b5

101,303

py

Python

influxdb_client/service/dashboards_service.py

Rajpratik71/influxdb-client-python

ae537018b638600552b3ac11f1b070c048719910

[ "MIT" ]

null

influxdb_client/service/dashboards_service.py

Rajpratik71/influxdb-client-python

ae537018b638600552b3ac11f1b070c048719910

[ "MIT" ]

null

influxdb_client/service/dashboards_service.py

Rajpratik71/influxdb-client-python

ae537018b638600552b3ac11f1b070c048719910

[ "MIT" ]

null

# coding: utf-8 """ Influx API Service. No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 OpenAPI spec version: 0.1.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from influxdb_client.api_client import ApiClient class DashboardsService(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): # noqa: E501,D401,D403 """DashboardsService - a operation defined in OpenAPI.""" if api_client is None: api_client = ApiClient() self.api_client = api_client def delete_dashboards_id(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Delete a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_dashboards_id_with_http_info(dashboard_id, **kwargs) # noqa: E501 else: (data) = self.delete_dashboards_id_with_http_info(dashboard_id, **kwargs) # noqa: E501 return data def delete_dashboards_id_with_http_info(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Delete a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_with_http_info(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_dashboards_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `delete_dashboards_id`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def delete_dashboards_id_cells_id(self, dashboard_id, cell_id, **kwargs): # noqa: E501,D401,D403 """Delete a dashboard cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_cells_id(dashboard_id, cell_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to delete. (required) :param str cell_id: The ID of the cell to delete. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_dashboards_id_cells_id_with_http_info(dashboard_id, cell_id, **kwargs) # noqa: E501 else: (data) = self.delete_dashboards_id_cells_id_with_http_info(dashboard_id, cell_id, **kwargs) # noqa: E501 return data def delete_dashboards_id_cells_id_with_http_info(self, dashboard_id, cell_id, **kwargs): # noqa: E501,D401,D403 """Delete a dashboard cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_cells_id_with_http_info(dashboard_id, cell_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to delete. (required) :param str cell_id: The ID of the cell to delete. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'cell_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_dashboards_id_cells_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `delete_dashboards_id_cells_id`") # noqa: E501 # verify the required parameter 'cell_id' is set if ('cell_id' not in local_var_params or local_var_params['cell_id'] is None): raise ValueError("Missing the required parameter `cell_id` when calling `delete_dashboards_id_cells_id`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 if 'cell_id' in local_var_params: path_params['cellID'] = local_var_params['cell_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/cells/{cellID}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def delete_dashboards_id_labels_id(self, dashboard_id, label_id, **kwargs): # noqa: E501,D401,D403 """Delete a label from a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_labels_id(dashboard_id, label_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str label_id: The ID of the label to delete. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_dashboards_id_labels_id_with_http_info(dashboard_id, label_id, **kwargs) # noqa: E501 else: (data) = self.delete_dashboards_id_labels_id_with_http_info(dashboard_id, label_id, **kwargs) # noqa: E501 return data def delete_dashboards_id_labels_id_with_http_info(self, dashboard_id, label_id, **kwargs): # noqa: E501,D401,D403 """Delete a label from a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_labels_id_with_http_info(dashboard_id, label_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str label_id: The ID of the label to delete. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'label_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_dashboards_id_labels_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `delete_dashboards_id_labels_id`") # noqa: E501 # verify the required parameter 'label_id' is set if ('label_id' not in local_var_params or local_var_params['label_id'] is None): raise ValueError("Missing the required parameter `label_id` when calling `delete_dashboards_id_labels_id`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 if 'label_id' in local_var_params: path_params['labelID'] = local_var_params['label_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/labels/{labelID}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def delete_dashboards_id_members_id(self, user_id, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Remove a member from a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_members_id(user_id, dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: The ID of the member to remove. (required) :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_dashboards_id_members_id_with_http_info(user_id, dashboard_id, **kwargs) # noqa: E501 else: (data) = self.delete_dashboards_id_members_id_with_http_info(user_id, dashboard_id, **kwargs) # noqa: E501 return data def delete_dashboards_id_members_id_with_http_info(self, user_id, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Remove a member from a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_members_id_with_http_info(user_id, dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: The ID of the member to remove. (required) :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['user_id', 'dashboard_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_dashboards_id_members_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'user_id' is set if ('user_id' not in local_var_params or local_var_params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `delete_dashboards_id_members_id`") # noqa: E501 # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `delete_dashboards_id_members_id`") # noqa: E501 collection_formats = {} path_params = {} if 'user_id' in local_var_params: path_params['userID'] = local_var_params['user_id'] # noqa: E501 if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/members/{userID}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def delete_dashboards_id_owners_id(self, user_id, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Remove an owner from a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_owners_id(user_id, dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: The ID of the owner to remove. (required) :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_dashboards_id_owners_id_with_http_info(user_id, dashboard_id, **kwargs) # noqa: E501 else: (data) = self.delete_dashboards_id_owners_id_with_http_info(user_id, dashboard_id, **kwargs) # noqa: E501 return data def delete_dashboards_id_owners_id_with_http_info(self, user_id, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Remove an owner from a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_dashboards_id_owners_id_with_http_info(user_id, dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: The ID of the owner to remove. (required) :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['user_id', 'dashboard_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_dashboards_id_owners_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'user_id' is set if ('user_id' not in local_var_params or local_var_params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `delete_dashboards_id_owners_id`") # noqa: E501 # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `delete_dashboards_id_owners_id`") # noqa: E501 collection_formats = {} path_params = {} if 'user_id' in local_var_params: path_params['userID'] = local_var_params['user_id'] # noqa: E501 if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/owners/{userID}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def get_dashboards(self, **kwargs): # noqa: E501,D401,D403 """Get all dashboards. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards(async_req=True) >>> result = thread.get() :param async_req bool :param str zap_trace_span: OpenTracing span context :param str owner: The owner ID. :param str sort_by: The column to sort by. :param list[str] id: List of dashboard IDs to return. If both `id and `owner` are specified, only `id` is used. :param str org_id: The organization ID. :param str org: The organization name. :return: Dashboards If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_dashboards_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_dashboards_with_http_info(**kwargs) # noqa: E501 return data def get_dashboards_with_http_info(self, **kwargs): # noqa: E501,D401,D403 """Get all dashboards. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str zap_trace_span: OpenTracing span context :param str owner: The owner ID. :param str sort_by: The column to sort by. :param list[str] id: List of dashboard IDs to return. If both `id and `owner` are specified, only `id` is used. :param str org_id: The organization ID. :param str org: The organization name. :return: Dashboards If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['zap_trace_span', 'owner', 'sort_by', 'id', 'org_id', 'org'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_dashboards" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'owner' in local_var_params: query_params.append(('owner', local_var_params['owner'])) # noqa: E501 if 'sort_by' in local_var_params: query_params.append(('sortBy', local_var_params['sort_by'])) # noqa: E501 if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) # noqa: E501 collection_formats['id'] = 'multi' # noqa: E501 if 'org_id' in local_var_params: query_params.append(('orgID', local_var_params['org_id'])) # noqa: E501 if 'org' in local_var_params: query_params.append(('org', local_var_params['org'])) # noqa: E501 header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Dashboards', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def get_dashboards_id(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Get a Dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str zap_trace_span: OpenTracing span context :param str include: Includes the cell view properties in the response if set to `properties` :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_dashboards_id_with_http_info(dashboard_id, **kwargs) # noqa: E501 else: (data) = self.get_dashboards_id_with_http_info(dashboard_id, **kwargs) # noqa: E501 return data def get_dashboards_id_with_http_info(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """Get a Dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_with_http_info(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str zap_trace_span: OpenTracing span context :param str include: Includes the cell view properties in the response if set to `properties` :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'zap_trace_span', 'include'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_dashboards_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `get_dashboards_id`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] if 'include' in local_var_params: query_params.append(('include', local_var_params['include'])) # noqa: E501 header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Dashboard', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def get_dashboards_id_cells_id_view(self, dashboard_id, cell_id, **kwargs): # noqa: E501,D401,D403 """Retrieve the view for a cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_cells_id_view(dashboard_id, cell_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str cell_id: The cell ID. (required) :param str zap_trace_span: OpenTracing span context :return: View If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_dashboards_id_cells_id_view_with_http_info(dashboard_id, cell_id, **kwargs) # noqa: E501 else: (data) = self.get_dashboards_id_cells_id_view_with_http_info(dashboard_id, cell_id, **kwargs) # noqa: E501 return data def get_dashboards_id_cells_id_view_with_http_info(self, dashboard_id, cell_id, **kwargs): # noqa: E501,D401,D403 """Retrieve the view for a cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_cells_id_view_with_http_info(dashboard_id, cell_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str cell_id: The cell ID. (required) :param str zap_trace_span: OpenTracing span context :return: View If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'cell_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_dashboards_id_cells_id_view" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `get_dashboards_id_cells_id_view`") # noqa: E501 # verify the required parameter 'cell_id' is set if ('cell_id' not in local_var_params or local_var_params['cell_id'] is None): raise ValueError("Missing the required parameter `cell_id` when calling `get_dashboards_id_cells_id_view`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 if 'cell_id' in local_var_params: path_params['cellID'] = local_var_params['cell_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/cells/{cellID}/view', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='View', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def get_dashboards_id_labels(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """list all labels for a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_labels(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: LabelsResponse If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_dashboards_id_labels_with_http_info(dashboard_id, **kwargs) # noqa: E501 else: (data) = self.get_dashboards_id_labels_with_http_info(dashboard_id, **kwargs) # noqa: E501 return data def get_dashboards_id_labels_with_http_info(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """list all labels for a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_labels_with_http_info(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: LabelsResponse If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_dashboards_id_labels" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `get_dashboards_id_labels`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/labels', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LabelsResponse', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def get_dashboards_id_members(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """List all dashboard members. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_members(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: ResourceMembers If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_dashboards_id_members_with_http_info(dashboard_id, **kwargs) # noqa: E501 else: (data) = self.get_dashboards_id_members_with_http_info(dashboard_id, **kwargs) # noqa: E501 return data def get_dashboards_id_members_with_http_info(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """List all dashboard members. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_members_with_http_info(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: ResourceMembers If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_dashboards_id_members" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `get_dashboards_id_members`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/members', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceMembers', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def get_dashboards_id_owners(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """List all dashboard owners. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_owners(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: ResourceOwners If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_dashboards_id_owners_with_http_info(dashboard_id, **kwargs) # noqa: E501 else: (data) = self.get_dashboards_id_owners_with_http_info(dashboard_id, **kwargs) # noqa: E501 return data def get_dashboards_id_owners_with_http_info(self, dashboard_id, **kwargs): # noqa: E501,D401,D403 """List all dashboard owners. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_dashboards_id_owners_with_http_info(dashboard_id, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param str zap_trace_span: OpenTracing span context :return: ResourceOwners If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_dashboards_id_owners" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `get_dashboards_id_owners`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/owners', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceOwners', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def patch_dashboards_id(self, dashboard_id, dashboard, **kwargs): # noqa: E501,D401,D403 """Update a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_dashboards_id(dashboard_id, dashboard, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param Dashboard dashboard: Patching of a dashboard (required) :param str zap_trace_span: OpenTracing span context :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_dashboards_id_with_http_info(dashboard_id, dashboard, **kwargs) # noqa: E501 else: (data) = self.patch_dashboards_id_with_http_info(dashboard_id, dashboard, **kwargs) # noqa: E501 return data def patch_dashboards_id_with_http_info(self, dashboard_id, dashboard, **kwargs): # noqa: E501,D401,D403 """Update a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_dashboards_id_with_http_info(dashboard_id, dashboard, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param Dashboard dashboard: Patching of a dashboard (required) :param str zap_trace_span: OpenTracing span context :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'dashboard', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_dashboards_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `patch_dashboards_id`") # noqa: E501 # verify the required parameter 'dashboard' is set if ('dashboard' not in local_var_params or local_var_params['dashboard'] is None): raise ValueError("Missing the required parameter `dashboard` when calling `patch_dashboards_id`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'dashboard' in local_var_params: body_params = local_var_params['dashboard'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Dashboard', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def patch_dashboards_id_cells_id(self, dashboard_id, cell_id, cell_update, **kwargs): # noqa: E501,D401,D403 """Update the non-positional information related to a cell. Updates the non positional information related to a cell. Updates to a single cell's positional data could cause grid conflicts. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_dashboards_id_cells_id(dashboard_id, cell_id, cell_update, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str cell_id: The ID of the cell to update. (required) :param CellUpdate cell_update: (required) :param str zap_trace_span: OpenTracing span context :return: Cell If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_dashboards_id_cells_id_with_http_info(dashboard_id, cell_id, cell_update, **kwargs) # noqa: E501 else: (data) = self.patch_dashboards_id_cells_id_with_http_info(dashboard_id, cell_id, cell_update, **kwargs) # noqa: E501 return data def patch_dashboards_id_cells_id_with_http_info(self, dashboard_id, cell_id, cell_update, **kwargs): # noqa: E501,D401,D403 """Update the non-positional information related to a cell. Updates the non positional information related to a cell. Updates to a single cell's positional data could cause grid conflicts. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_dashboards_id_cells_id_with_http_info(dashboard_id, cell_id, cell_update, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str cell_id: The ID of the cell to update. (required) :param CellUpdate cell_update: (required) :param str zap_trace_span: OpenTracing span context :return: Cell If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'cell_id', 'cell_update', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_dashboards_id_cells_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `patch_dashboards_id_cells_id`") # noqa: E501 # verify the required parameter 'cell_id' is set if ('cell_id' not in local_var_params or local_var_params['cell_id'] is None): raise ValueError("Missing the required parameter `cell_id` when calling `patch_dashboards_id_cells_id`") # noqa: E501 # verify the required parameter 'cell_update' is set if ('cell_update' not in local_var_params or local_var_params['cell_update'] is None): raise ValueError("Missing the required parameter `cell_update` when calling `patch_dashboards_id_cells_id`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 if 'cell_id' in local_var_params: path_params['cellID'] = local_var_params['cell_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'cell_update' in local_var_params: body_params = local_var_params['cell_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/cells/{cellID}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Cell', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def patch_dashboards_id_cells_id_view(self, dashboard_id, cell_id, view, **kwargs): # noqa: E501,D401,D403 """Update the view for a cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_dashboards_id_cells_id_view(dashboard_id, cell_id, view, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str cell_id: The ID of the cell to update. (required) :param View view: (required) :param str zap_trace_span: OpenTracing span context :return: View If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_dashboards_id_cells_id_view_with_http_info(dashboard_id, cell_id, view, **kwargs) # noqa: E501 else: (data) = self.patch_dashboards_id_cells_id_view_with_http_info(dashboard_id, cell_id, view, **kwargs) # noqa: E501 return data def patch_dashboards_id_cells_id_view_with_http_info(self, dashboard_id, cell_id, view, **kwargs): # noqa: E501,D401,D403 """Update the view for a cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_dashboards_id_cells_id_view_with_http_info(dashboard_id, cell_id, view, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param str cell_id: The ID of the cell to update. (required) :param View view: (required) :param str zap_trace_span: OpenTracing span context :return: View If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'cell_id', 'view', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_dashboards_id_cells_id_view" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `patch_dashboards_id_cells_id_view`") # noqa: E501 # verify the required parameter 'cell_id' is set if ('cell_id' not in local_var_params or local_var_params['cell_id'] is None): raise ValueError("Missing the required parameter `cell_id` when calling `patch_dashboards_id_cells_id_view`") # noqa: E501 # verify the required parameter 'view' is set if ('view' not in local_var_params or local_var_params['view'] is None): raise ValueError("Missing the required parameter `view` when calling `patch_dashboards_id_cells_id_view`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 if 'cell_id' in local_var_params: path_params['cellID'] = local_var_params['cell_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'view' in local_var_params: body_params = local_var_params['view'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/cells/{cellID}/view', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='View', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def post_dashboards(self, create_dashboard_request, **kwargs): # noqa: E501,D401,D403 """Create a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards(create_dashboard_request, async_req=True) >>> result = thread.get() :param async_req bool :param CreateDashboardRequest create_dashboard_request: Dashboard to create (required) :param str zap_trace_span: OpenTracing span context :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_dashboards_with_http_info(create_dashboard_request, **kwargs) # noqa: E501 else: (data) = self.post_dashboards_with_http_info(create_dashboard_request, **kwargs) # noqa: E501 return data def post_dashboards_with_http_info(self, create_dashboard_request, **kwargs): # noqa: E501,D401,D403 """Create a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_with_http_info(create_dashboard_request, async_req=True) >>> result = thread.get() :param async_req bool :param CreateDashboardRequest create_dashboard_request: Dashboard to create (required) :param str zap_trace_span: OpenTracing span context :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['create_dashboard_request', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_dashboards" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'create_dashboard_request' is set if ('create_dashboard_request' not in local_var_params or local_var_params['create_dashboard_request'] is None): raise ValueError("Missing the required parameter `create_dashboard_request` when calling `post_dashboards`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'create_dashboard_request' in local_var_params: body_params = local_var_params['create_dashboard_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Dashboard', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def post_dashboards_id_cells(self, dashboard_id, create_cell, **kwargs): # noqa: E501,D401,D403 """Create a dashboard cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_cells(dashboard_id, create_cell, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param CreateCell create_cell: Cell that will be added (required) :param str zap_trace_span: OpenTracing span context :return: Cell If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_dashboards_id_cells_with_http_info(dashboard_id, create_cell, **kwargs) # noqa: E501 else: (data) = self.post_dashboards_id_cells_with_http_info(dashboard_id, create_cell, **kwargs) # noqa: E501 return data def post_dashboards_id_cells_with_http_info(self, dashboard_id, create_cell, **kwargs): # noqa: E501,D401,D403 """Create a dashboard cell. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_cells_with_http_info(dashboard_id, create_cell, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param CreateCell create_cell: Cell that will be added (required) :param str zap_trace_span: OpenTracing span context :return: Cell If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'create_cell', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_dashboards_id_cells" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `post_dashboards_id_cells`") # noqa: E501 # verify the required parameter 'create_cell' is set if ('create_cell' not in local_var_params or local_var_params['create_cell'] is None): raise ValueError("Missing the required parameter `create_cell` when calling `post_dashboards_id_cells`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'create_cell' in local_var_params: body_params = local_var_params['create_cell'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/cells', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Cell', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def post_dashboards_id_labels(self, dashboard_id, label_mapping, **kwargs): # noqa: E501,D401,D403 """Add a label to a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_labels(dashboard_id, label_mapping, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param LabelMapping label_mapping: Label to add (required) :param str zap_trace_span: OpenTracing span context :return: LabelResponse If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_dashboards_id_labels_with_http_info(dashboard_id, label_mapping, **kwargs) # noqa: E501 else: (data) = self.post_dashboards_id_labels_with_http_info(dashboard_id, label_mapping, **kwargs) # noqa: E501 return data def post_dashboards_id_labels_with_http_info(self, dashboard_id, label_mapping, **kwargs): # noqa: E501,D401,D403 """Add a label to a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_labels_with_http_info(dashboard_id, label_mapping, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param LabelMapping label_mapping: Label to add (required) :param str zap_trace_span: OpenTracing span context :return: LabelResponse If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'label_mapping', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_dashboards_id_labels" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `post_dashboards_id_labels`") # noqa: E501 # verify the required parameter 'label_mapping' is set if ('label_mapping' not in local_var_params or local_var_params['label_mapping'] is None): raise ValueError("Missing the required parameter `label_mapping` when calling `post_dashboards_id_labels`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'label_mapping' in local_var_params: body_params = local_var_params['label_mapping'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/labels', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LabelResponse', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def post_dashboards_id_members(self, dashboard_id, add_resource_member_request_body, **kwargs): # noqa: E501,D401,D403 """Add a member to a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_members(dashboard_id, add_resource_member_request_body, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param AddResourceMemberRequestBody add_resource_member_request_body: User to add as member (required) :param str zap_trace_span: OpenTracing span context :return: ResourceMember If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_dashboards_id_members_with_http_info(dashboard_id, add_resource_member_request_body, **kwargs) # noqa: E501 else: (data) = self.post_dashboards_id_members_with_http_info(dashboard_id, add_resource_member_request_body, **kwargs) # noqa: E501 return data def post_dashboards_id_members_with_http_info(self, dashboard_id, add_resource_member_request_body, **kwargs): # noqa: E501,D401,D403 """Add a member to a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_members_with_http_info(dashboard_id, add_resource_member_request_body, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param AddResourceMemberRequestBody add_resource_member_request_body: User to add as member (required) :param str zap_trace_span: OpenTracing span context :return: ResourceMember If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'add_resource_member_request_body', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_dashboards_id_members" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `post_dashboards_id_members`") # noqa: E501 # verify the required parameter 'add_resource_member_request_body' is set if ('add_resource_member_request_body' not in local_var_params or local_var_params['add_resource_member_request_body'] is None): raise ValueError("Missing the required parameter `add_resource_member_request_body` when calling `post_dashboards_id_members`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'add_resource_member_request_body' in local_var_params: body_params = local_var_params['add_resource_member_request_body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/members', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceMember', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def post_dashboards_id_owners(self, dashboard_id, add_resource_member_request_body, **kwargs): # noqa: E501,D401,D403 """Add an owner to a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_owners(dashboard_id, add_resource_member_request_body, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param AddResourceMemberRequestBody add_resource_member_request_body: User to add as owner (required) :param str zap_trace_span: OpenTracing span context :return: ResourceOwner If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_dashboards_id_owners_with_http_info(dashboard_id, add_resource_member_request_body, **kwargs) # noqa: E501 else: (data) = self.post_dashboards_id_owners_with_http_info(dashboard_id, add_resource_member_request_body, **kwargs) # noqa: E501 return data def post_dashboards_id_owners_with_http_info(self, dashboard_id, add_resource_member_request_body, **kwargs): # noqa: E501,D401,D403 """Add an owner to a dashboard. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_dashboards_id_owners_with_http_info(dashboard_id, add_resource_member_request_body, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The dashboard ID. (required) :param AddResourceMemberRequestBody add_resource_member_request_body: User to add as owner (required) :param str zap_trace_span: OpenTracing span context :return: ResourceOwner If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'add_resource_member_request_body', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_dashboards_id_owners" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `post_dashboards_id_owners`") # noqa: E501 # verify the required parameter 'add_resource_member_request_body' is set if ('add_resource_member_request_body' not in local_var_params or local_var_params['add_resource_member_request_body'] is None): raise ValueError("Missing the required parameter `add_resource_member_request_body` when calling `post_dashboards_id_owners`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'add_resource_member_request_body' in local_var_params: body_params = local_var_params['add_resource_member_request_body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/owners', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceOwner', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw) def put_dashboards_id_cells(self, dashboard_id, cell, **kwargs): # noqa: E501,D401,D403 """Replace cells in a dashboard. Replaces all cells in a dashboard. This is used primarily to update the positional information of all cells. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_dashboards_id_cells(dashboard_id, cell, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param list[Cell] cell: (required) :param str zap_trace_span: OpenTracing span context :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.put_dashboards_id_cells_with_http_info(dashboard_id, cell, **kwargs) # noqa: E501 else: (data) = self.put_dashboards_id_cells_with_http_info(dashboard_id, cell, **kwargs) # noqa: E501 return data def put_dashboards_id_cells_with_http_info(self, dashboard_id, cell, **kwargs): # noqa: E501,D401,D403 """Replace cells in a dashboard. Replaces all cells in a dashboard. This is used primarily to update the positional information of all cells. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_dashboards_id_cells_with_http_info(dashboard_id, cell, async_req=True) >>> result = thread.get() :param async_req bool :param str dashboard_id: The ID of the dashboard to update. (required) :param list[Cell] cell: (required) :param str zap_trace_span: OpenTracing span context :return: Dashboard If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['dashboard_id', 'cell', 'zap_trace_span'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_dashboards_id_cells" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'dashboard_id' is set if ('dashboard_id' not in local_var_params or local_var_params['dashboard_id'] is None): raise ValueError("Missing the required parameter `dashboard_id` when calling `put_dashboards_id_cells`") # noqa: E501 # verify the required parameter 'cell' is set if ('cell' not in local_var_params or local_var_params['cell'] is None): raise ValueError("Missing the required parameter `cell` when calling `put_dashboards_id_cells`") # noqa: E501 collection_formats = {} path_params = {} if 'dashboard_id' in local_var_params: path_params['dashboardID'] = local_var_params['dashboard_id'] # noqa: E501 query_params = [] header_params = {} if 'zap_trace_span' in local_var_params: header_params['Zap-Trace-Span'] = local_var_params['zap_trace_span'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'cell' in local_var_params: body_params = local_var_params['cell'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/dashboards/{dashboardID}/cells', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Dashboard', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, urlopen_kw=urlopen_kw)

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null

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0

1

0

null

0

8

672c6c3dc77ad9dce8b08d4c43208bbd3f0195f8

207

py

Python

torabot/mods/yyets/views/email.py

Answeror/torabot

b6260190ec1f0dc8bf3f7ba3512c0522668c59ed

[ "MIT" ]

42

2015-01-20T10:45:08.000Z

2021-04-17T05:10:27.000Z

torabot/mods/yyets/views/email.py

Answeror/torabot

b6260190ec1f0dc8bf3f7ba3512c0522668c59ed

[ "MIT" ]

4

2015-01-23T05:40:44.000Z

2016-12-19T03:52:20.000Z

torabot/mods/yyets/views/email.py

Answeror/torabot

b6260190ec1f0dc8bf3f7ba3512c0522668c59ed

[ "MIT" ]

8

2015-05-07T03:51:05.000Z

2019-03-20T05:40:47.000Z

def format_notice_body(notice): return { 'rss.new': format_rss_notice, }[notice.change.kind](notice) def format_rss_notice(notice): return '%(title)s 更新了: %(link)s' % notice.change.art

23

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207

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false

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0

1

0

1

0

7

673308598faa7f8e0f9e453798c9dc24057178f1

20,287

py

Python

datapremultiprocess.py

c896/Bert-Chinese-Text-Classification

59f3673cd3a3ea477ea6977d821a96a06ed91d12

[ "MIT" ]

null

datapremultiprocess.py

c896/Bert-Chinese-Text-Classification

59f3673cd3a3ea477ea6977d821a96a06ed91d12

[ "MIT" ]

null

datapremultiprocess.py

c896/Bert-Chinese-Text-Classification

59f3673cd3a3ea477ea6977d821a96a06ed91d12

[ "MIT" ]

null

# import jieba from jieba import lcut,analyse # import jieba.analyse as analyse import re from tqdm import tqdm #, trange import pandas as pd # from sklearn.utils import shuffle # from sklearn.model_selection import train_test_split # import matplotlib.pyplot as plt # import warnings import multiprocessing import string import time # import frozen multiprocessing.freeze_support() analyse.set_stop_words('./stopwords/cg_stopwords.txt') # warnings.filterwarnings("ignore") # plt.rcParams['font.sans-serif']='SimHei' # plt.rcParams['axes.unicode_minus']=False # classdict = {'财经':0,'股票':0,'房产':1,'教育':2,'科技':3,'军事':4,'汽车':5,'体育':6,'综合体育最新':6,'体育焦点':6,\ # '游戏':7,'娱乐':8,'其它':9,'社会':9,'健康':9,'法制':9} #世界国际历史有歧义 classdict = {'财经':0,'股票':0,'房产':1,'教育':2,'科技':3,'数码': 3,'科普': 3,'军事':4,'汽车':5,'体育':6,'足球': 6,'综合体育最新':6,\ '体育焦点':6,'游戏':7,'娱乐':8,'其它':9,'其他':9,'社会':9,'健康':9,'法制':9,'世界':9,'国际':9,'文化':9,'历史':9,'时尚':9,'情感':9,\ '旅游':9,'健康':9,'美食':9,'宠物':9,'星座':9,'动漫':9} iddict={0:'财经',1:'房产',2:'教育',3:'科技',4:'军事',5:'汽车',6:'体育',7:'游戏',8:'娱乐',9:'其他'} class Linedata(object): def __init__(self): # self.textinput = textinput # self.path_txt = path_txt # self.news_path=news_path self.classdict = {'财经':0,'房产':1,'教育':2,'科技':3,'军事':4,'汽车':5,'体育':6,'游戏':7,'娱乐':8,'其他':9} #------------------------读取文件-------------------------# def read_excel(self,path): data_xls = pd.ExcelFile(path) df =pd.read_excel(path,sheet_name=0,usecols=[0,1,2]) print(data_xls.sheet_names) for idx in range(1,len(data_xls.sheet_names)-1): # print(idx) df_ =pd.read_excel(path,sheet_name=idx,usecols=[0,1,2]) df_=df_.drop(index=0) df = pd.concat([df, df_], axis=0) return df def stopwordslist(self,filepath): stopwords = [line.strip() for line in open(filepath,encoding='UTF-8').readlines()] return stopwords def chuli(self,stopwords,textinput): # textinput=self.textinput #------------------------------------------加载停用词-----------------------------------------------------# # strip() 方法用于移除字符串头尾指定的字符(默认为空格或换行符)或字符序列 # stopwords=set(self.stopwordslist('cg_stopwords.txt')) # # vocab=set(self.stopwordslist('vocab.txt')) # stopwords=list(stopwords) #---------------------------------基于TF-IDF算法的关键词抽取------------------------------------------# # analyse.set_stop_words('cg_stopwords.txt') # import zhon.hanzi # punc = string.punctuation + '；：，、？！‘’“”《》￥%' #zhon.hanzi.punctuation punc = string.punctuation + '《》￥%' textinput = textinput.strip() #--------------------------------标题处理----------------------------------------# try: title,text = textinput.split('\t') title_ = lcut(title) title_ = [w for w in title_ if (w not in stopwords or w in punc) and not re.match('^[0-9|.]*$',w)] # print(title_) newtitle = "".join(title_) except: text_ = analyse.extract_tags(textinput,32) text_ = [w for w in text_ if not re.match('^[0-9|.]*$',w)] # print(title_) output= "".join(text_) +'\t'+'9' print("转换后:{}".format(output[:-2])) return output #-------------------clean words whos length<2 and with only numbers and characters-------------------# # title_1 = jieba.lcut(title.strip()) # title_1 = [w for w in title_1 if len(w)>1 and not re.match('^[0-9|.]*$',w)] # title = [w for w in title if w in vocab] # title = "".join(title) #--------------------------------内容处理----------------------------------------# # text = [w for w in text if w in vocab] \w 匹配字母或数字或下划线或汉字等价于 '[^A-Za-z0-9_]'。 # text = "".join(text) text_ = analyse.extract_tags(text,32) text_ = [w for w in text_ if w not in title_ and not re.match('^[0-9|.]*$',w)] #'^[a-z|A-Z|0-9|.]*$' newtext = "".join(text_) output = newtitle +' '+ newtext +'\t'+'9' # print(newtitle) # print(newtext) print("转换后:{}".format(output[:-2])) return output class Excel_preddata(object): def __init__(self): # self.textinput = textinput self.classdict = {'财经':0,'房产':1,'教育':2,'科技':3,'军事':4,'汽车':5,'体育':6,'游戏':7,'娱乐':8,'其他':9} #------------------------读取文件-------------------------# def read_excel(self,path): data_xls = pd.ExcelFile(path) df =pd.read_excel(path,sheet_name=0,usecols=[2,3]) print(data_xls.sheet_names) # for idx in range(1,len(data_xls.sheet_names)-1): # # print(idx) # df_ =pd.read_excel(path,sheet_name=idx,usecols=[0,1,2]) # df_=df_.drop(index=0) # df = pd.concat([df, df_], axis=0) return df,data_xls.sheet_names def stopwordslist(self,filepath): stopwords = [line.strip() for line in open(filepath,encoding='UTF-8').readlines()] return stopwords def chuli(self,stopwords,news_path): flag = 0 if news_path.endswith('.xlsx'): path_txt = news_path.split('.xlsx')[0] + '.txt' elif news_path.endswith('.xls'): path_txt = news_path.split('.xls')[0] + '.txt' else: flag = 1 print('输入文件格式不符,请重新输入') if flag == 1: return None with open(path_txt,'w+', encoding='UTF-8') as f: f.write('') df,sheet_names= self.read_excel(news_path) #---------------------------------基于TF-IDF算法的关键词抽取------------------------------------------# # analyse.set_stop_words('cg_stopwords.txt') # import zhon.hanzi # punc = string.punctuation + '；：，、？！‘’“”《》￥%' #zhon.hanzi.punctuation punc = string.punctuation + '《》￥%' #--------------------------------标题处理----------------------------------------# with open(path_txt,'a+', encoding='UTF-8') as f: for content in tqdm(df.values): #可改成多进程处理 title = content[0] text = content[1] # label = content[1] #-------------------clean words whos length<2 and with only numbers and characters-------------------# title_ = lcut(title.strip()) title_ = [w for w in title_ if (w not in stopwords or w in punc) and not re.match('^[0-9|.]*$',w)] # print(title_) newtitle = "".join(title_) #--------------------------------内容处理----------------------------------------# try: # text = [w for w in text if w in vocab] # text = "".join(text) text_ = analyse.extract_tags(text,32) text_ = [w for w in text_ if w not in title_ and not re.match('^[0-9|.]*$',w)] #'^[a-z|A-Z|0-9|.]*$' \w 匹配字母或数字或下划线或汉字等价于 '[^A-Za-z0-9_]'。 newtext = "".join(text_) title_text = " ".join([newtitle,newtext]) newcontent = title_text +'\t'+'9'+'\n' except: newcontent = newtitle +'\t'+'9'+'\n' # print(newtitle) # print(newtext) f.write(newcontent) time.sleep(0.01) return path_txt,sheet_names def worker(self, q1, q2, b1,stopwords,punc): """ 定义处理线程 """ while True: content = q1.get() if len(content)==0: b1.wait() # 阻塞进程，等待其他进程执行完毕 break title = content[0] text = content[1] title_ = lcut(title.strip()) title_ = [w for w in title_ if (w not in stopwords or w in punc) and not re.match('^[0-9|.]*$',w)] # print(title_) newtitle = "".join(title_) #--------------------------------内容处理----------------------------------------# try: # text = [w for w in text if w in vocab] # text = "".join(text) text_ = analyse.extract_tags(text,32) text_ = [w for w in text_ if w not in title_ and not re.match('^[0-9|.]*$',w)] #'^[a-z|A-Z|0-9|.]*$' \w 匹配字母或数字或下划线或汉字等价于 '[^A-Za-z0-9_]'。 newtext = "".join(text_) title_text = " ".join([newtitle,newtext]) newcontent = title_text +'\t'+'9'+'\n' except: newcontent = newtitle +'\t'+'9'+'\n' q2.put(newcontent) print("Worker finished!") def feed(self, q1, q2, b1, num, df): """ 定义生产者 """ # for f_name in tqdm.tqdm_gui(file_paths): #终端进度条展示 for content in tqdm(df.values):# 每次提供一些数据 q1.put(content) for itr in range(num): q1.put([]) # 在输入结束后输入结束标志（空列表） b1.wait() # 阻塞，等待所有处理完成后向输出进程输入终止命令 q2.put([]) # 输入空白以终止进程 print("Feed finished") def output(self, q2, path_txt): """ 定义输出单元 """ count = 0 # newcontent=[] while True: a = q2.get() if len(a)==0: break # newcontent.append(a) with open(path_txt,'a+', encoding='UTF-8') as f: f.write(a) count += 1 print("Output finished", "N input", count) def multi_chuli(self,stopwords,news_path): """ 主程序最好使用类进行封装 """ flag = 0 if news_path.endswith('.xlsx'): path_txt = news_path.split('.xlsx')[0] + '.txt' elif news_path.endswith('.xls'): path_txt = news_path.split('.xls')[0] + '.txt' else: flag = 1 print('输入文件格式不符,请重新输入') if flag == 1: return None with open(path_txt,'w+', encoding='UTF-8') as f: f.write('') df,sheet_names= self.read_excel(news_path) # df["channelName"].value_counts().plot.pie(subplots=True, figsize=(4, 4), autopct='%0.1f%%') # plt.title('数据分布') # # plt.show() # plt.draw() # plt.pause(2) #显示秒数 # plt.close() #---------------------------------基于TF-IDF算法的关键词抽取------------------------------------------# # analyse.set_stop_words('cg_stopwords.txt') # import zhon.hanzi # punc = string.punctuation + '；：，、？！‘’“”《》￥%' #zhon.hanzi.punctuation punc = string.punctuation + '《》￥%' n_process = 8 # 定义进程数量 # multiprocessing.freeze_support() q1 = multiprocessing.Queue(50) # 定义队列 q2 = multiprocessing.Queue(50) barrier = multiprocessing.Barrier(n_process+1) # 用于进程同步，同步指令还可以使用过Manager、Pipe等，注意阻塞造成的死锁问题。 mp1 = multiprocessing.Process(target=self.feed, args=(q1, q2, barrier, n_process, df)) #加载df下所有行 mp1.start()#多进程读取文件路径 wks = [] # mydict=multiprocessing.Manager().dict() #主进程与子进程共享这个字典 stopwords=multiprocessing.Manager().list(stopwords) #主进程与子进程共享这个List punc=multiprocessing.Manager().list(punc) # num = multiprocessing.Value('d', 1.0) # 共享数字 # arr = multiprocessing.Array('i', range(10)) # 共享数组 for p in range(n_process): #取决于cpu的核心数 w1 = multiprocessing.Process(target=self.worker, args=(q1, q2, barrier, stopwords, punc)) #多进程读取所有行，并进行分词 w1.start() wks.append(w1) mp2 = multiprocessing.Process(target=self.output, args=(q2, path_txt)) #多进程地把读取的文件数据并存储为txt mp2.start() #设置进程顺序 mp1.join() for w in wks: w.join() mp2.join() return path_txt,sheet_names class Excel_testdata(object): def __init__(self): # self.textinput = textinput self.classdict = {'财经':0,'房产':1,'教育':2,'科技':3,'军事':4,'汽车':5,'体育':6,'游戏':7,'娱乐':8,'其他':9} #------------------------读取文件-------------------------# def read_excel(self,path): data_xls = pd.ExcelFile(path) df =pd.read_excel(path,sheet_name=0,usecols=[0,1,2]) print(data_xls.sheet_names) for idx in range(1,len(data_xls.sheet_names)-1): # print(idx) df_ =pd.read_excel(path,sheet_name=idx,usecols=[0,1,2]) df_=df_.drop(index=0) df = pd.concat([df, df_], axis=0) return df def stopwordslist(self,filepath): stopwords = [line.strip() for line in open(filepath,encoding='UTF-8').readlines()] return stopwords def content_process(self,df,stopwords,punc): for content in tqdm(df.values): title = content[2] text = content[0] # label = content[1] #-------------------clean words whos length<2 and with only numbers and characters-------------------# title_ = lcut(title.strip()) title_ = [w for w in title_ if (w not in stopwords or w in punc) and not re.match('^[0-9|.]*$',w)] # print(title_) newtitle = "".join(title_) try: # text = [w for w in text if w in vocab] # text = "".join(text) text_ = analyse.extract_tags(text,32) text_ = [w for w in text_ if w not in title_ and not re.match('^[0-9|.]*$',w)] #'^[a-z|A-Z|0-9|.]*$' \w 匹配字母或数字或下划线或汉字等价于 '[^A-Za-z0-9_]'。 newtext = "".join(text_) title_text = " ".join([newtitle,newtext]) newcontent = title_text +'\t'+ str(classdict[content[1]])+'\n' except: newcontent = newtitle +'\t'+ str(classdict[content[1]])+'\n' return newcontent def chuli(self,stopwords,news_path): flag = 0 if news_path.endswith('.xlsx'): path_txt = news_path.split('.xlsx')[0] + '.txt' elif news_path.endswith('.xls'): path_txt = news_path.split('.xls')[0] + '.txt' else: flag = 1 print('输入文件格式不符,请重新输入') if flag == 1: return None with open(path_txt,'w+', encoding='UTF-8') as f: f.write('') df = self.read_excel(news_path) # df["channelName"].value_counts().plot.pie(subplots=True, figsize=(4, 4), autopct='%0.1f%%') # plt.title('数据分布') # # plt.show() # plt.draw() # plt.pause(2) #显示秒数 # plt.close() #---------------------------------基于TF-IDF算法的关键词抽取------------------------------------------# # analyse.set_stop_words('cg_stopwords.txt') # import zhon.hanzi # punc = string.punctuation + '；：，、？！‘’“”《》￥%' #zhon.hanzi.punctuation punc = string.punctuation + '《》￥%' #--------------------------------标题处理----------------------------------------# newcontent = self.content_process(df,stopwords,punc) with open(path_txt,'a+', encoding='UTF-8') as f: for line in newcontent: f.write(line) time.sleep(0.01) return path_txt def worker(self, q1, q2, b1,stopwords,punc): """ 定义处理线程 """ while True: content = q1.get() if len(content)==0: b1.wait() # 阻塞进程，等待其他进程执行完毕 break title = content[2] text = content[0] title_ = lcut(title.strip()) title_ = [w for w in title_ if (w not in stopwords or w in punc) and not re.match('^[0-9|.]*$',w)] # print(title_) newtitle = "".join(title_) try: # text = [w for w in text if w in vocab] # text = "".join(text) text_ = analyse.extract_tags(text,32) text_ = [w for w in text_ if w not in title_ and not re.match('^[0-9|.]*$',w)] #'^[a-z|A-Z|0-9|.]*$' \w 匹配字母或数字或下划线或汉字等价于 '[^A-Za-z0-9_]'。 newtext = "".join(text_) title_text = " ".join([newtitle,newtext]) newcontent = title_text +'\t'+ str(classdict[content[1]])+'\n' except: newcontent = newtitle +'\t'+ str(classdict[content[1]])+'\n' q2.put(newcontent) print("Worker finished!") def feed(self, q1, q2, b1, num, df): """ 定义生产者 """ # for f_name in tqdm.tqdm_gui(file_paths): #终端进度条展示 for content in tqdm(df.values):# 每次提供一些数据 q1.put(content) for itr in range(num): q1.put([]) # 在输入结束后输入结束标志（空列表） b1.wait() # 阻塞，等待所有处理完成后向输出进程输入终止命令 q2.put([]) # 输入空白以终止进程 print("Feed finished") def output(self, q2, path_txt): """ 定义输出单元 """ count = 0 # newcontent=[] while True: a = q2.get() if len(a)==0: break # newcontent.append(a) with open(path_txt,'a+', encoding='UTF-8') as f: f.write(a) count += 1 print("Output finished", "N input", count) def multi_chuli(self,stopwords,news_path): """ 主程序最好使用类进行封装 """ flag = 0 if news_path.endswith('.xlsx'): path_txt = news_path.split('.xlsx')[0] + '.txt' elif news_path.endswith('.xls'): path_txt = news_path.split('.xls')[0] + '.txt' else: flag = 1 print('输入文件格式不符,请重新输入') if flag == 1: return None with open(path_txt,'w+', encoding='UTF-8') as f: f.write('') df = self.read_excel(news_path) # df["channelName"].value_counts().plot.pie(subplots=True, figsize=(4, 4), autopct='%0.1f%%') # plt.title('数据分布') # # plt.show() # plt.draw() # plt.pause(2) #显示秒数 # plt.close() #------------------------------------------加载停用词-----------------------------------------------------# # strip() 方法用于移除字符串头尾指定的字符(默认为空格或换行符)或字符序列 # stopwords=set(self.stopwordslist('cg_stopwords.txt')) # # vocab=set(self.stopwordslist('vocab.txt')) # stopwords=list(stopwords) #---------------------------------基于TF-IDF算法的关键词抽取------------------------------------------# # analyse.set_stop_words('cg_stopwords.txt') # import zhon.hanzi # punc = string.punctuation + '；：，、？！‘’“”《》￥%' #zhon.hanzi.punctuation punc = string.punctuation + '《》￥%' n_process = 8 # 定义进程数量 # multiprocessing.freeze_support() q1 = multiprocessing.Queue(50) # 定义队列 q2 = multiprocessing.Queue(50) barrier = multiprocessing.Barrier(n_process+1) # 用于进程同步，同步指令还可以使用过Manager、Pipe等，注意阻塞造成的死锁问题。 mp1 = multiprocessing.Process(target=self.feed, args=(q1, q2, barrier, n_process, df)) #加载df下所有行 mp1.start()#多进程读取文件路径 wks = [] # mydict=multiprocessing.Manager().dict() #主进程与子进程共享这个字典 stopwords=multiprocessing.Manager().list(stopwords) #主进程与子进程共享这个List punc=multiprocessing.Manager().list(punc) # num = multiprocessing.Value('d', 1.0) # 共享数字 # arr = multiprocessing.Array('i', range(10)) # 共享数组 for p in range(n_process): #取决于cpu的核心数 w1 = multiprocessing.Process(target=self.worker, args=(q1, q2, barrier, stopwords, punc)) #多进程读取所有行，并进行分词 w1.start() wks.append(w1) mp2 = multiprocessing.Process(target=self.output, args=(q2, path_txt)) #多进程地把读取的文件数据并存储为txt mp2.start() #设置进程顺序 mp1.join() for w in wks: w.join() mp2.join() return path_txt

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null

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1

0

1

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null

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7

674af86a77c07ac52aeda3e35f8158c912cb68b4

8,470

py

Python

ydb/public/api/grpc/draft/yql_db_v1_pb2_grpc.py

gridnevvvit/ydb-python-sdk

952f7b4f179595b07711934691d2e15643929cc5

[ "Apache-2.0" ]

2

2022-02-18T16:18:52.000Z

2022-02-19T20:15:05.000Z

ydb/public/api/grpc/draft/yql_db_v1_pb2_grpc.py

gridnevvvit/ydb-python-sdk

952f7b4f179595b07711934691d2e15643929cc5

[ "Apache-2.0" ]

1

2022-02-09T12:49:19.000Z

2022-02-21T08:15:36.000Z

ydb/public/api/grpc/draft/yql_db_v1_pb2_grpc.py

gridnevvvit/ydb-python-sdk

952f7b4f179595b07711934691d2e15643929cc5

[ "Apache-2.0" ]

2

2022-02-03T14:58:56.000Z

2022-02-22T19:42:59.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from ydb.public.api.protos.draft import yq_private_pb2 as ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2 class YqPrivateTaskServiceStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetTask = channel.unary_unary( '/Yq.Private.V1.YqPrivateTaskService/GetTask', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.GetTaskRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.GetTaskResponse.FromString, ) self.PingTask = channel.unary_unary( '/Yq.Private.V1.YqPrivateTaskService/PingTask', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.PingTaskRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.PingTaskResponse.FromString, ) self.WriteTaskResult = channel.unary_unary( '/Yq.Private.V1.YqPrivateTaskService/WriteTaskResult', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.WriteTaskResultRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.WriteTaskResultResponse.FromString, ) self.NodesHealthCheck = channel.unary_unary( '/Yq.Private.V1.YqPrivateTaskService/NodesHealthCheck', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.NodesHealthCheckRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.NodesHealthCheckResponse.FromString, ) class YqPrivateTaskServiceServicer(object): """Missing associated documentation comment in .proto file.""" def GetTask(self, request, context): """gets new task """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def PingTask(self, request, context): """pings new task (also can update metadata) """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def WriteTaskResult(self, request, context): """writes rows """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def NodesHealthCheck(self, request, context): """Nodes """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_YqPrivateTaskServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'GetTask': grpc.unary_unary_rpc_method_handler( servicer.GetTask, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.GetTaskRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.GetTaskResponse.SerializeToString, ), 'PingTask': grpc.unary_unary_rpc_method_handler( servicer.PingTask, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.PingTaskRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.PingTaskResponse.SerializeToString, ), 'WriteTaskResult': grpc.unary_unary_rpc_method_handler( servicer.WriteTaskResult, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.WriteTaskResultRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.WriteTaskResultResponse.SerializeToString, ), 'NodesHealthCheck': grpc.unary_unary_rpc_method_handler( servicer.NodesHealthCheck, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.NodesHealthCheckRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.NodesHealthCheckResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'Yq.Private.V1.YqPrivateTaskService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class YqPrivateTaskService(object): """Missing associated documentation comment in .proto file.""" @staticmethod def GetTask(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Yq.Private.V1.YqPrivateTaskService/GetTask', ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.GetTaskRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.GetTaskResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def PingTask(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Yq.Private.V1.YqPrivateTaskService/PingTask', ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.PingTaskRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.PingTaskResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def WriteTaskResult(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Yq.Private.V1.YqPrivateTaskService/WriteTaskResult', ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.WriteTaskResultRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.WriteTaskResultResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def NodesHealthCheck(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Yq.Private.V1.YqPrivateTaskService/NodesHealthCheck', ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.NodesHealthCheckRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_draft_dot_yq__private__pb2.NodesHealthCheckResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

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0.133183

0.056512

0.055974

0.067277

0.81934

0.802835

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0.731432

0.71098

0

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8,470

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50.118343

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0

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1

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0

null

0

1

0

1

0

null

0

7

67a7c08c64158e62376545de4f5eb82c2c038f30

57,645

py

Python

sdk/python/pulumi_aws/amplify/branch.py

RafalSumislawski/pulumi-aws

7c8a335d327c173aa32c8b3d98816e760db329fa

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/amplify/branch.py

RafalSumislawski/pulumi-aws

7c8a335d327c173aa32c8b3d98816e760db329fa

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/amplify/branch.py

RafalSumislawski/pulumi-aws

7c8a335d327c173aa32c8b3d98816e760db329fa

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['BranchArgs', 'Branch'] @pulumi.input_type class BranchArgs: def __init__(__self__, *, app_id: pulumi.Input[str], branch_name: pulumi.Input[str], backend_environment_arn: Optional[pulumi.Input[str]] = None, basic_auth_credentials: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, display_name: Optional[pulumi.Input[str]] = None, enable_auto_build: Optional[pulumi.Input[bool]] = None, enable_basic_auth: Optional[pulumi.Input[bool]] = None, enable_notification: Optional[pulumi.Input[bool]] = None, enable_performance_mode: Optional[pulumi.Input[bool]] = None, enable_pull_request_preview: Optional[pulumi.Input[bool]] = None, environment_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, framework: Optional[pulumi.Input[str]] = None, pull_request_environment_name: Optional[pulumi.Input[str]] = None, stage: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, ttl: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Branch resource. :param pulumi.Input[str] app_id: The unique ID for an Amplify app. :param pulumi.Input[str] branch_name: The name for the branch. :param pulumi.Input[str] backend_environment_arn: The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. :param pulumi.Input[str] basic_auth_credentials: The basic authorization credentials for the branch. :param pulumi.Input[str] description: The description for the branch. :param pulumi.Input[str] display_name: The display name for a branch. This is used as the default domain prefix. :param pulumi.Input[bool] enable_auto_build: Enables auto building for the branch. :param pulumi.Input[bool] enable_basic_auth: Enables basic authorization for the branch. :param pulumi.Input[bool] enable_notification: Enables notifications for the branch. :param pulumi.Input[bool] enable_performance_mode: Enables performance mode for the branch. :param pulumi.Input[bool] enable_pull_request_preview: Enables pull request previews for this branch. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] environment_variables: The environment variables for the branch. :param pulumi.Input[str] framework: The framework for the branch. :param pulumi.Input[str] pull_request_environment_name: The Amplify environment name for the pull request. :param pulumi.Input[str] stage: Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. :param pulumi.Input[str] ttl: The content Time To Live (TTL) for the website in seconds. """ pulumi.set(__self__, "app_id", app_id) pulumi.set(__self__, "branch_name", branch_name) if backend_environment_arn is not None: pulumi.set(__self__, "backend_environment_arn", backend_environment_arn) if basic_auth_credentials is not None: pulumi.set(__self__, "basic_auth_credentials", basic_auth_credentials) if description is not None: pulumi.set(__self__, "description", description) if display_name is not None: pulumi.set(__self__, "display_name", display_name) if enable_auto_build is not None: pulumi.set(__self__, "enable_auto_build", enable_auto_build) if enable_basic_auth is not None: pulumi.set(__self__, "enable_basic_auth", enable_basic_auth) if enable_notification is not None: pulumi.set(__self__, "enable_notification", enable_notification) if enable_performance_mode is not None: pulumi.set(__self__, "enable_performance_mode", enable_performance_mode) if enable_pull_request_preview is not None: pulumi.set(__self__, "enable_pull_request_preview", enable_pull_request_preview) if environment_variables is not None: pulumi.set(__self__, "environment_variables", environment_variables) if framework is not None: pulumi.set(__self__, "framework", framework) if pull_request_environment_name is not None: pulumi.set(__self__, "pull_request_environment_name", pull_request_environment_name) if stage is not None: pulumi.set(__self__, "stage", stage) if tags is not None: pulumi.set(__self__, "tags", tags) if ttl is not None: pulumi.set(__self__, "ttl", ttl) @property @pulumi.getter(name="appId") def app_id(self) -> pulumi.Input[str]: """ The unique ID for an Amplify app. """ return pulumi.get(self, "app_id") @app_id.setter def app_id(self, value: pulumi.Input[str]): pulumi.set(self, "app_id", value) @property @pulumi.getter(name="branchName") def branch_name(self) -> pulumi.Input[str]: """ The name for the branch. """ return pulumi.get(self, "branch_name") @branch_name.setter def branch_name(self, value: pulumi.Input[str]): pulumi.set(self, "branch_name", value) @property @pulumi.getter(name="backendEnvironmentArn") def backend_environment_arn(self) -> Optional[pulumi.Input[str]]: """ The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. """ return pulumi.get(self, "backend_environment_arn") @backend_environment_arn.setter def backend_environment_arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "backend_environment_arn", value) @property @pulumi.getter(name="basicAuthCredentials") def basic_auth_credentials(self) -> Optional[pulumi.Input[str]]: """ The basic authorization credentials for the branch. """ return pulumi.get(self, "basic_auth_credentials") @basic_auth_credentials.setter def basic_auth_credentials(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "basic_auth_credentials", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description for the branch. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="displayName") def display_name(self) -> Optional[pulumi.Input[str]]: """ The display name for a branch. This is used as the default domain prefix. """ return pulumi.get(self, "display_name") @display_name.setter def display_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "display_name", value) @property @pulumi.getter(name="enableAutoBuild") def enable_auto_build(self) -> Optional[pulumi.Input[bool]]: """ Enables auto building for the branch. """ return pulumi.get(self, "enable_auto_build") @enable_auto_build.setter def enable_auto_build(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_auto_build", value) @property @pulumi.getter(name="enableBasicAuth") def enable_basic_auth(self) -> Optional[pulumi.Input[bool]]: """ Enables basic authorization for the branch. """ return pulumi.get(self, "enable_basic_auth") @enable_basic_auth.setter def enable_basic_auth(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_basic_auth", value) @property @pulumi.getter(name="enableNotification") def enable_notification(self) -> Optional[pulumi.Input[bool]]: """ Enables notifications for the branch. """ return pulumi.get(self, "enable_notification") @enable_notification.setter def enable_notification(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_notification", value) @property @pulumi.getter(name="enablePerformanceMode") def enable_performance_mode(self) -> Optional[pulumi.Input[bool]]: """ Enables performance mode for the branch. """ return pulumi.get(self, "enable_performance_mode") @enable_performance_mode.setter def enable_performance_mode(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_performance_mode", value) @property @pulumi.getter(name="enablePullRequestPreview") def enable_pull_request_preview(self) -> Optional[pulumi.Input[bool]]: """ Enables pull request previews for this branch. """ return pulumi.get(self, "enable_pull_request_preview") @enable_pull_request_preview.setter def enable_pull_request_preview(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_pull_request_preview", value) @property @pulumi.getter(name="environmentVariables") def environment_variables(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ The environment variables for the branch. """ return pulumi.get(self, "environment_variables") @environment_variables.setter def environment_variables(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "environment_variables", value) @property @pulumi.getter def framework(self) -> Optional[pulumi.Input[str]]: """ The framework for the branch. """ return pulumi.get(self, "framework") @framework.setter def framework(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "framework", value) @property @pulumi.getter(name="pullRequestEnvironmentName") def pull_request_environment_name(self) -> Optional[pulumi.Input[str]]: """ The Amplify environment name for the pull request. """ return pulumi.get(self, "pull_request_environment_name") @pull_request_environment_name.setter def pull_request_environment_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "pull_request_environment_name", value) @property @pulumi.getter def stage(self) -> Optional[pulumi.Input[str]]: """ Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. """ return pulumi.get(self, "stage") @stage.setter def stage(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "stage", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter def ttl(self) -> Optional[pulumi.Input[str]]: """ The content Time To Live (TTL) for the website in seconds. """ return pulumi.get(self, "ttl") @ttl.setter def ttl(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ttl", value) @pulumi.input_type class _BranchState: def __init__(__self__, *, app_id: Optional[pulumi.Input[str]] = None, arn: Optional[pulumi.Input[str]] = None, associated_resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, backend_environment_arn: Optional[pulumi.Input[str]] = None, basic_auth_credentials: Optional[pulumi.Input[str]] = None, branch_name: Optional[pulumi.Input[str]] = None, custom_domains: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, description: Optional[pulumi.Input[str]] = None, destination_branch: Optional[pulumi.Input[str]] = None, display_name: Optional[pulumi.Input[str]] = None, enable_auto_build: Optional[pulumi.Input[bool]] = None, enable_basic_auth: Optional[pulumi.Input[bool]] = None, enable_notification: Optional[pulumi.Input[bool]] = None, enable_performance_mode: Optional[pulumi.Input[bool]] = None, enable_pull_request_preview: Optional[pulumi.Input[bool]] = None, environment_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, framework: Optional[pulumi.Input[str]] = None, pull_request_environment_name: Optional[pulumi.Input[str]] = None, source_branch: Optional[pulumi.Input[str]] = None, stage: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, ttl: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering Branch resources. :param pulumi.Input[str] app_id: The unique ID for an Amplify app. :param pulumi.Input[str] arn: The Amazon Resource Name (ARN) for the branch. :param pulumi.Input[Sequence[pulumi.Input[str]]] associated_resources: A list of custom resources that are linked to this branch. :param pulumi.Input[str] backend_environment_arn: The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. :param pulumi.Input[str] basic_auth_credentials: The basic authorization credentials for the branch. :param pulumi.Input[str] branch_name: The name for the branch. :param pulumi.Input[Sequence[pulumi.Input[str]]] custom_domains: The custom domains for the branch. :param pulumi.Input[str] description: The description for the branch. :param pulumi.Input[str] destination_branch: The destination branch if the branch is a pull request branch. :param pulumi.Input[str] display_name: The display name for a branch. This is used as the default domain prefix. :param pulumi.Input[bool] enable_auto_build: Enables auto building for the branch. :param pulumi.Input[bool] enable_basic_auth: Enables basic authorization for the branch. :param pulumi.Input[bool] enable_notification: Enables notifications for the branch. :param pulumi.Input[bool] enable_performance_mode: Enables performance mode for the branch. :param pulumi.Input[bool] enable_pull_request_preview: Enables pull request previews for this branch. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] environment_variables: The environment variables for the branch. :param pulumi.Input[str] framework: The framework for the branch. :param pulumi.Input[str] pull_request_environment_name: The Amplify environment name for the pull request. :param pulumi.Input[str] source_branch: The source branch if the branch is a pull request branch. :param pulumi.Input[str] stage: Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags_all: A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block. :param pulumi.Input[str] ttl: The content Time To Live (TTL) for the website in seconds. """ if app_id is not None: pulumi.set(__self__, "app_id", app_id) if arn is not None: pulumi.set(__self__, "arn", arn) if associated_resources is not None: pulumi.set(__self__, "associated_resources", associated_resources) if backend_environment_arn is not None: pulumi.set(__self__, "backend_environment_arn", backend_environment_arn) if basic_auth_credentials is not None: pulumi.set(__self__, "basic_auth_credentials", basic_auth_credentials) if branch_name is not None: pulumi.set(__self__, "branch_name", branch_name) if custom_domains is not None: pulumi.set(__self__, "custom_domains", custom_domains) if description is not None: pulumi.set(__self__, "description", description) if destination_branch is not None: pulumi.set(__self__, "destination_branch", destination_branch) if display_name is not None: pulumi.set(__self__, "display_name", display_name) if enable_auto_build is not None: pulumi.set(__self__, "enable_auto_build", enable_auto_build) if enable_basic_auth is not None: pulumi.set(__self__, "enable_basic_auth", enable_basic_auth) if enable_notification is not None: pulumi.set(__self__, "enable_notification", enable_notification) if enable_performance_mode is not None: pulumi.set(__self__, "enable_performance_mode", enable_performance_mode) if enable_pull_request_preview is not None: pulumi.set(__self__, "enable_pull_request_preview", enable_pull_request_preview) if environment_variables is not None: pulumi.set(__self__, "environment_variables", environment_variables) if framework is not None: pulumi.set(__self__, "framework", framework) if pull_request_environment_name is not None: pulumi.set(__self__, "pull_request_environment_name", pull_request_environment_name) if source_branch is not None: pulumi.set(__self__, "source_branch", source_branch) if stage is not None: pulumi.set(__self__, "stage", stage) if tags is not None: pulumi.set(__self__, "tags", tags) if tags_all is not None: pulumi.set(__self__, "tags_all", tags_all) if ttl is not None: pulumi.set(__self__, "ttl", ttl) @property @pulumi.getter(name="appId") def app_id(self) -> Optional[pulumi.Input[str]]: """ The unique ID for an Amplify app. """ return pulumi.get(self, "app_id") @app_id.setter def app_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "app_id", value) @property @pulumi.getter def arn(self) -> Optional[pulumi.Input[str]]: """ The Amazon Resource Name (ARN) for the branch. """ return pulumi.get(self, "arn") @arn.setter def arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn", value) @property @pulumi.getter(name="associatedResources") def associated_resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ A list of custom resources that are linked to this branch. """ return pulumi.get(self, "associated_resources") @associated_resources.setter def associated_resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "associated_resources", value) @property @pulumi.getter(name="backendEnvironmentArn") def backend_environment_arn(self) -> Optional[pulumi.Input[str]]: """ The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. """ return pulumi.get(self, "backend_environment_arn") @backend_environment_arn.setter def backend_environment_arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "backend_environment_arn", value) @property @pulumi.getter(name="basicAuthCredentials") def basic_auth_credentials(self) -> Optional[pulumi.Input[str]]: """ The basic authorization credentials for the branch. """ return pulumi.get(self, "basic_auth_credentials") @basic_auth_credentials.setter def basic_auth_credentials(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "basic_auth_credentials", value) @property @pulumi.getter(name="branchName") def branch_name(self) -> Optional[pulumi.Input[str]]: """ The name for the branch. """ return pulumi.get(self, "branch_name") @branch_name.setter def branch_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "branch_name", value) @property @pulumi.getter(name="customDomains") def custom_domains(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The custom domains for the branch. """ return pulumi.get(self, "custom_domains") @custom_domains.setter def custom_domains(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "custom_domains", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description for the branch. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="destinationBranch") def destination_branch(self) -> Optional[pulumi.Input[str]]: """ The destination branch if the branch is a pull request branch. """ return pulumi.get(self, "destination_branch") @destination_branch.setter def destination_branch(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "destination_branch", value) @property @pulumi.getter(name="displayName") def display_name(self) -> Optional[pulumi.Input[str]]: """ The display name for a branch. This is used as the default domain prefix. """ return pulumi.get(self, "display_name") @display_name.setter def display_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "display_name", value) @property @pulumi.getter(name="enableAutoBuild") def enable_auto_build(self) -> Optional[pulumi.Input[bool]]: """ Enables auto building for the branch. """ return pulumi.get(self, "enable_auto_build") @enable_auto_build.setter def enable_auto_build(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_auto_build", value) @property @pulumi.getter(name="enableBasicAuth") def enable_basic_auth(self) -> Optional[pulumi.Input[bool]]: """ Enables basic authorization for the branch. """ return pulumi.get(self, "enable_basic_auth") @enable_basic_auth.setter def enable_basic_auth(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_basic_auth", value) @property @pulumi.getter(name="enableNotification") def enable_notification(self) -> Optional[pulumi.Input[bool]]: """ Enables notifications for the branch. """ return pulumi.get(self, "enable_notification") @enable_notification.setter def enable_notification(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_notification", value) @property @pulumi.getter(name="enablePerformanceMode") def enable_performance_mode(self) -> Optional[pulumi.Input[bool]]: """ Enables performance mode for the branch. """ return pulumi.get(self, "enable_performance_mode") @enable_performance_mode.setter def enable_performance_mode(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_performance_mode", value) @property @pulumi.getter(name="enablePullRequestPreview") def enable_pull_request_preview(self) -> Optional[pulumi.Input[bool]]: """ Enables pull request previews for this branch. """ return pulumi.get(self, "enable_pull_request_preview") @enable_pull_request_preview.setter def enable_pull_request_preview(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enable_pull_request_preview", value) @property @pulumi.getter(name="environmentVariables") def environment_variables(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ The environment variables for the branch. """ return pulumi.get(self, "environment_variables") @environment_variables.setter def environment_variables(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "environment_variables", value) @property @pulumi.getter def framework(self) -> Optional[pulumi.Input[str]]: """ The framework for the branch. """ return pulumi.get(self, "framework") @framework.setter def framework(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "framework", value) @property @pulumi.getter(name="pullRequestEnvironmentName") def pull_request_environment_name(self) -> Optional[pulumi.Input[str]]: """ The Amplify environment name for the pull request. """ return pulumi.get(self, "pull_request_environment_name") @pull_request_environment_name.setter def pull_request_environment_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "pull_request_environment_name", value) @property @pulumi.getter(name="sourceBranch") def source_branch(self) -> Optional[pulumi.Input[str]]: """ The source branch if the branch is a pull request branch. """ return pulumi.get(self, "source_branch") @source_branch.setter def source_branch(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_branch", value) @property @pulumi.getter def stage(self) -> Optional[pulumi.Input[str]]: """ Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. """ return pulumi.get(self, "stage") @stage.setter def stage(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "stage", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="tagsAll") def tags_all(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block. """ return pulumi.get(self, "tags_all") @tags_all.setter def tags_all(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags_all", value) @property @pulumi.getter def ttl(self) -> Optional[pulumi.Input[str]]: """ The content Time To Live (TTL) for the website in seconds. """ return pulumi.get(self, "ttl") @ttl.setter def ttl(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ttl", value) class Branch(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, app_id: Optional[pulumi.Input[str]] = None, backend_environment_arn: Optional[pulumi.Input[str]] = None, basic_auth_credentials: Optional[pulumi.Input[str]] = None, branch_name: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, display_name: Optional[pulumi.Input[str]] = None, enable_auto_build: Optional[pulumi.Input[bool]] = None, enable_basic_auth: Optional[pulumi.Input[bool]] = None, enable_notification: Optional[pulumi.Input[bool]] = None, enable_performance_mode: Optional[pulumi.Input[bool]] = None, enable_pull_request_preview: Optional[pulumi.Input[bool]] = None, environment_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, framework: Optional[pulumi.Input[str]] = None, pull_request_environment_name: Optional[pulumi.Input[str]] = None, stage: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, ttl: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides an Amplify Branch resource. ## Example Usage ```python import pulumi import pulumi_aws as aws example = aws.amplify.App("example") master = aws.amplify.Branch("master", app_id=example.id, branch_name="master", framework="React", stage="PRODUCTION", environment_variables={ "REACT_APP_API_SERVER": "https://api.example.com", }) ``` ### Notifications Amplify Console uses EventBridge (formerly known as CloudWatch Events) and SNS for email notifications. To implement the same functionality, you need to set `enable_notification` in a `amplify.Branch` resource, as well as creating an EventBridge Rule, an SNS topic, and SNS subscriptions. ```python import pulumi import json import pulumi_aws as aws example = aws.amplify.App("example") master = aws.amplify.Branch("master", app_id=example.id, branch_name="master", enable_notification=True) # EventBridge Rule for Amplify notifications amplify_app_master_event_rule = aws.cloudwatch.EventRule("amplifyAppMasterEventRule", description=master.branch_name.apply(lambda branch_name: f"AWS Amplify build notifications for : App: {aws_amplify_app['app']['id']} Branch: {branch_name}"), event_pattern=pulumi.Output.all(example.id, master.branch_name).apply(lambda id, branch_name: json.dumps({ "detail": { "appId": [id], "branchName": [branch_name], "jobStatus": [ "SUCCEED", "FAILED", "STARTED", ], }, "detail-type": ["Amplify Deployment Status Change"], "source": ["aws.amplify"], }))) amplify_app_master_topic = aws.sns.Topic("amplifyAppMasterTopic") amplify_app_master_event_target = aws.cloudwatch.EventTarget("amplifyAppMasterEventTarget", rule=amplify_app_master_event_rule.name, arn=amplify_app_master_topic.arn, input_transformer=aws.cloudwatch.EventTargetInputTransformerArgs( input_paths={ "jobId": "$.detail.jobId", "appId": "$.detail.appId", "region": "$.region", "branch": "$.detail.branchName", "status": "$.detail.jobStatus", }, input_template="\"Build notification from the AWS Amplify Console for app: https://<branch>.<appId>.amplifyapp.com/. Your build status is <status>. Go to https://console.aws.amazon.com/amplify/home?region=<region>#<appId>/<branch>/<jobId> to view details on your build. \"", )) # SNS Topic for Amplify notifications amplify_app_master_policy_document = pulumi.Output.all(master.arn, amplify_app_master_topic.arn).apply(lambda masterArn, amplifyAppMasterTopicArn: aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs( sid=f"Allow_Publish_Events {master_arn}", effect="Allow", actions=["SNS:Publish"], principals=[aws.iam.GetPolicyDocumentStatementPrincipalArgs( type="Service", identifiers=["events.amazonaws.com"], )], resources=[amplify_app_master_topic_arn], )])) amplify_app_master_topic_policy = aws.sns.TopicPolicy("amplifyAppMasterTopicPolicy", arn=amplify_app_master_topic.arn, policy=amplify_app_master_policy_document.json) ``` ## Import Amplify branch can be imported using `app_id` and `branch_name`, e.g., ```sh $ pulumi import aws:amplify/branch:Branch master d2ypk4k47z8u6/master ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] app_id: The unique ID for an Amplify app. :param pulumi.Input[str] backend_environment_arn: The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. :param pulumi.Input[str] basic_auth_credentials: The basic authorization credentials for the branch. :param pulumi.Input[str] branch_name: The name for the branch. :param pulumi.Input[str] description: The description for the branch. :param pulumi.Input[str] display_name: The display name for a branch. This is used as the default domain prefix. :param pulumi.Input[bool] enable_auto_build: Enables auto building for the branch. :param pulumi.Input[bool] enable_basic_auth: Enables basic authorization for the branch. :param pulumi.Input[bool] enable_notification: Enables notifications for the branch. :param pulumi.Input[bool] enable_performance_mode: Enables performance mode for the branch. :param pulumi.Input[bool] enable_pull_request_preview: Enables pull request previews for this branch. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] environment_variables: The environment variables for the branch. :param pulumi.Input[str] framework: The framework for the branch. :param pulumi.Input[str] pull_request_environment_name: The Amplify environment name for the pull request. :param pulumi.Input[str] stage: Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. :param pulumi.Input[str] ttl: The content Time To Live (TTL) for the website in seconds. """ ... @overload def __init__(__self__, resource_name: str, args: BranchArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides an Amplify Branch resource. ## Example Usage ```python import pulumi import pulumi_aws as aws example = aws.amplify.App("example") master = aws.amplify.Branch("master", app_id=example.id, branch_name="master", framework="React", stage="PRODUCTION", environment_variables={ "REACT_APP_API_SERVER": "https://api.example.com", }) ``` ### Notifications Amplify Console uses EventBridge (formerly known as CloudWatch Events) and SNS for email notifications. To implement the same functionality, you need to set `enable_notification` in a `amplify.Branch` resource, as well as creating an EventBridge Rule, an SNS topic, and SNS subscriptions. ```python import pulumi import json import pulumi_aws as aws example = aws.amplify.App("example") master = aws.amplify.Branch("master", app_id=example.id, branch_name="master", enable_notification=True) # EventBridge Rule for Amplify notifications amplify_app_master_event_rule = aws.cloudwatch.EventRule("amplifyAppMasterEventRule", description=master.branch_name.apply(lambda branch_name: f"AWS Amplify build notifications for : App: {aws_amplify_app['app']['id']} Branch: {branch_name}"), event_pattern=pulumi.Output.all(example.id, master.branch_name).apply(lambda id, branch_name: json.dumps({ "detail": { "appId": [id], "branchName": [branch_name], "jobStatus": [ "SUCCEED", "FAILED", "STARTED", ], }, "detail-type": ["Amplify Deployment Status Change"], "source": ["aws.amplify"], }))) amplify_app_master_topic = aws.sns.Topic("amplifyAppMasterTopic") amplify_app_master_event_target = aws.cloudwatch.EventTarget("amplifyAppMasterEventTarget", rule=amplify_app_master_event_rule.name, arn=amplify_app_master_topic.arn, input_transformer=aws.cloudwatch.EventTargetInputTransformerArgs( input_paths={ "jobId": "$.detail.jobId", "appId": "$.detail.appId", "region": "$.region", "branch": "$.detail.branchName", "status": "$.detail.jobStatus", }, input_template="\"Build notification from the AWS Amplify Console for app: https://<branch>.<appId>.amplifyapp.com/. Your build status is <status>. Go to https://console.aws.amazon.com/amplify/home?region=<region>#<appId>/<branch>/<jobId> to view details on your build. \"", )) # SNS Topic for Amplify notifications amplify_app_master_policy_document = pulumi.Output.all(master.arn, amplify_app_master_topic.arn).apply(lambda masterArn, amplifyAppMasterTopicArn: aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs( sid=f"Allow_Publish_Events {master_arn}", effect="Allow", actions=["SNS:Publish"], principals=[aws.iam.GetPolicyDocumentStatementPrincipalArgs( type="Service", identifiers=["events.amazonaws.com"], )], resources=[amplify_app_master_topic_arn], )])) amplify_app_master_topic_policy = aws.sns.TopicPolicy("amplifyAppMasterTopicPolicy", arn=amplify_app_master_topic.arn, policy=amplify_app_master_policy_document.json) ``` ## Import Amplify branch can be imported using `app_id` and `branch_name`, e.g., ```sh $ pulumi import aws:amplify/branch:Branch master d2ypk4k47z8u6/master ``` :param str resource_name: The name of the resource. :param BranchArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(BranchArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, app_id: Optional[pulumi.Input[str]] = None, backend_environment_arn: Optional[pulumi.Input[str]] = None, basic_auth_credentials: Optional[pulumi.Input[str]] = None, branch_name: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, display_name: Optional[pulumi.Input[str]] = None, enable_auto_build: Optional[pulumi.Input[bool]] = None, enable_basic_auth: Optional[pulumi.Input[bool]] = None, enable_notification: Optional[pulumi.Input[bool]] = None, enable_performance_mode: Optional[pulumi.Input[bool]] = None, enable_pull_request_preview: Optional[pulumi.Input[bool]] = None, environment_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, framework: Optional[pulumi.Input[str]] = None, pull_request_environment_name: Optional[pulumi.Input[str]] = None, stage: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, ttl: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = BranchArgs.__new__(BranchArgs) if app_id is None and not opts.urn: raise TypeError("Missing required property 'app_id'") __props__.__dict__["app_id"] = app_id __props__.__dict__["backend_environment_arn"] = backend_environment_arn __props__.__dict__["basic_auth_credentials"] = basic_auth_credentials if branch_name is None and not opts.urn: raise TypeError("Missing required property 'branch_name'") __props__.__dict__["branch_name"] = branch_name __props__.__dict__["description"] = description __props__.__dict__["display_name"] = display_name __props__.__dict__["enable_auto_build"] = enable_auto_build __props__.__dict__["enable_basic_auth"] = enable_basic_auth __props__.__dict__["enable_notification"] = enable_notification __props__.__dict__["enable_performance_mode"] = enable_performance_mode __props__.__dict__["enable_pull_request_preview"] = enable_pull_request_preview __props__.__dict__["environment_variables"] = environment_variables __props__.__dict__["framework"] = framework __props__.__dict__["pull_request_environment_name"] = pull_request_environment_name __props__.__dict__["stage"] = stage __props__.__dict__["tags"] = tags __props__.__dict__["ttl"] = ttl __props__.__dict__["arn"] = None __props__.__dict__["associated_resources"] = None __props__.__dict__["custom_domains"] = None __props__.__dict__["destination_branch"] = None __props__.__dict__["source_branch"] = None __props__.__dict__["tags_all"] = None super(Branch, __self__).__init__( 'aws:amplify/branch:Branch', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, app_id: Optional[pulumi.Input[str]] = None, arn: Optional[pulumi.Input[str]] = None, associated_resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, backend_environment_arn: Optional[pulumi.Input[str]] = None, basic_auth_credentials: Optional[pulumi.Input[str]] = None, branch_name: Optional[pulumi.Input[str]] = None, custom_domains: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, description: Optional[pulumi.Input[str]] = None, destination_branch: Optional[pulumi.Input[str]] = None, display_name: Optional[pulumi.Input[str]] = None, enable_auto_build: Optional[pulumi.Input[bool]] = None, enable_basic_auth: Optional[pulumi.Input[bool]] = None, enable_notification: Optional[pulumi.Input[bool]] = None, enable_performance_mode: Optional[pulumi.Input[bool]] = None, enable_pull_request_preview: Optional[pulumi.Input[bool]] = None, environment_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, framework: Optional[pulumi.Input[str]] = None, pull_request_environment_name: Optional[pulumi.Input[str]] = None, source_branch: Optional[pulumi.Input[str]] = None, stage: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, ttl: Optional[pulumi.Input[str]] = None) -> 'Branch': """ Get an existing Branch resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] app_id: The unique ID for an Amplify app. :param pulumi.Input[str] arn: The Amazon Resource Name (ARN) for the branch. :param pulumi.Input[Sequence[pulumi.Input[str]]] associated_resources: A list of custom resources that are linked to this branch. :param pulumi.Input[str] backend_environment_arn: The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. :param pulumi.Input[str] basic_auth_credentials: The basic authorization credentials for the branch. :param pulumi.Input[str] branch_name: The name for the branch. :param pulumi.Input[Sequence[pulumi.Input[str]]] custom_domains: The custom domains for the branch. :param pulumi.Input[str] description: The description for the branch. :param pulumi.Input[str] destination_branch: The destination branch if the branch is a pull request branch. :param pulumi.Input[str] display_name: The display name for a branch. This is used as the default domain prefix. :param pulumi.Input[bool] enable_auto_build: Enables auto building for the branch. :param pulumi.Input[bool] enable_basic_auth: Enables basic authorization for the branch. :param pulumi.Input[bool] enable_notification: Enables notifications for the branch. :param pulumi.Input[bool] enable_performance_mode: Enables performance mode for the branch. :param pulumi.Input[bool] enable_pull_request_preview: Enables pull request previews for this branch. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] environment_variables: The environment variables for the branch. :param pulumi.Input[str] framework: The framework for the branch. :param pulumi.Input[str] pull_request_environment_name: The Amplify environment name for the pull request. :param pulumi.Input[str] source_branch: The source branch if the branch is a pull request branch. :param pulumi.Input[str] stage: Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags_all: A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block. :param pulumi.Input[str] ttl: The content Time To Live (TTL) for the website in seconds. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _BranchState.__new__(_BranchState) __props__.__dict__["app_id"] = app_id __props__.__dict__["arn"] = arn __props__.__dict__["associated_resources"] = associated_resources __props__.__dict__["backend_environment_arn"] = backend_environment_arn __props__.__dict__["basic_auth_credentials"] = basic_auth_credentials __props__.__dict__["branch_name"] = branch_name __props__.__dict__["custom_domains"] = custom_domains __props__.__dict__["description"] = description __props__.__dict__["destination_branch"] = destination_branch __props__.__dict__["display_name"] = display_name __props__.__dict__["enable_auto_build"] = enable_auto_build __props__.__dict__["enable_basic_auth"] = enable_basic_auth __props__.__dict__["enable_notification"] = enable_notification __props__.__dict__["enable_performance_mode"] = enable_performance_mode __props__.__dict__["enable_pull_request_preview"] = enable_pull_request_preview __props__.__dict__["environment_variables"] = environment_variables __props__.__dict__["framework"] = framework __props__.__dict__["pull_request_environment_name"] = pull_request_environment_name __props__.__dict__["source_branch"] = source_branch __props__.__dict__["stage"] = stage __props__.__dict__["tags"] = tags __props__.__dict__["tags_all"] = tags_all __props__.__dict__["ttl"] = ttl return Branch(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="appId") def app_id(self) -> pulumi.Output[str]: """ The unique ID for an Amplify app. """ return pulumi.get(self, "app_id") @property @pulumi.getter def arn(self) -> pulumi.Output[str]: """ The Amazon Resource Name (ARN) for the branch. """ return pulumi.get(self, "arn") @property @pulumi.getter(name="associatedResources") def associated_resources(self) -> pulumi.Output[Sequence[str]]: """ A list of custom resources that are linked to this branch. """ return pulumi.get(self, "associated_resources") @property @pulumi.getter(name="backendEnvironmentArn") def backend_environment_arn(self) -> pulumi.Output[Optional[str]]: """ The Amazon Resource Name (ARN) for a backend environment that is part of an Amplify app. """ return pulumi.get(self, "backend_environment_arn") @property @pulumi.getter(name="basicAuthCredentials") def basic_auth_credentials(self) -> pulumi.Output[Optional[str]]: """ The basic authorization credentials for the branch. """ return pulumi.get(self, "basic_auth_credentials") @property @pulumi.getter(name="branchName") def branch_name(self) -> pulumi.Output[str]: """ The name for the branch. """ return pulumi.get(self, "branch_name") @property @pulumi.getter(name="customDomains") def custom_domains(self) -> pulumi.Output[Sequence[str]]: """ The custom domains for the branch. """ return pulumi.get(self, "custom_domains") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ The description for the branch. """ return pulumi.get(self, "description") @property @pulumi.getter(name="destinationBranch") def destination_branch(self) -> pulumi.Output[str]: """ The destination branch if the branch is a pull request branch. """ return pulumi.get(self, "destination_branch") @property @pulumi.getter(name="displayName") def display_name(self) -> pulumi.Output[str]: """ The display name for a branch. This is used as the default domain prefix. """ return pulumi.get(self, "display_name") @property @pulumi.getter(name="enableAutoBuild") def enable_auto_build(self) -> pulumi.Output[Optional[bool]]: """ Enables auto building for the branch. """ return pulumi.get(self, "enable_auto_build") @property @pulumi.getter(name="enableBasicAuth") def enable_basic_auth(self) -> pulumi.Output[Optional[bool]]: """ Enables basic authorization for the branch. """ return pulumi.get(self, "enable_basic_auth") @property @pulumi.getter(name="enableNotification") def enable_notification(self) -> pulumi.Output[Optional[bool]]: """ Enables notifications for the branch. """ return pulumi.get(self, "enable_notification") @property @pulumi.getter(name="enablePerformanceMode") def enable_performance_mode(self) -> pulumi.Output[Optional[bool]]: """ Enables performance mode for the branch. """ return pulumi.get(self, "enable_performance_mode") @property @pulumi.getter(name="enablePullRequestPreview") def enable_pull_request_preview(self) -> pulumi.Output[Optional[bool]]: """ Enables pull request previews for this branch. """ return pulumi.get(self, "enable_pull_request_preview") @property @pulumi.getter(name="environmentVariables") def environment_variables(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ The environment variables for the branch. """ return pulumi.get(self, "environment_variables") @property @pulumi.getter def framework(self) -> pulumi.Output[Optional[str]]: """ The framework for the branch. """ return pulumi.get(self, "framework") @property @pulumi.getter(name="pullRequestEnvironmentName") def pull_request_environment_name(self) -> pulumi.Output[Optional[str]]: """ The Amplify environment name for the pull request. """ return pulumi.get(self, "pull_request_environment_name") @property @pulumi.getter(name="sourceBranch") def source_branch(self) -> pulumi.Output[str]: """ The source branch if the branch is a pull request branch. """ return pulumi.get(self, "source_branch") @property @pulumi.getter def stage(self) -> pulumi.Output[Optional[str]]: """ Describes the current stage for the branch. Valid values: `PRODUCTION`, `BETA`, `DEVELOPMENT`, `EXPERIMENTAL`, `PULL_REQUEST`. """ return pulumi.get(self, "stage") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ Key-value mapping of resource tags. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ return pulumi.get(self, "tags") @property @pulumi.getter(name="tagsAll") def tags_all(self) -> pulumi.Output[Mapping[str, str]]: """ A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block. """ return pulumi.get(self, "tags_all") @property @pulumi.getter def ttl(self) -> pulumi.Output[Optional[str]]: """ The content Time To Live (TTL) for the website in seconds. """ return pulumi.get(self, "ttl")

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8

67ba00472016009edfe015eb36b0298870d2f013

32

py

Python

t.py

kacystocks/programmers_assistant

31e15cc945ffc4ebcae198f70a60b5e630bd6fb0

[ "Intel" ]

null

t.py

kacystocks/programmers_assistant

31e15cc945ffc4ebcae198f70a60b5e630bd6fb0

[ "Intel" ]

null

t.py

kacystocks/programmers_assistant

31e15cc945ffc4ebcae198f70a60b5e630bd6fb0

[ "Intel" ]

null

print("asdfjkbasdlfjbsdljkfvb")

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8

67c9ee7ee1dea66135b61c0352848bd687af5ead

3,103

py

Python

V.BETA/claseEsquinas.py

Muteado/proyecto

54cf8babe150a33f75851f6686094de8f743d332

[ "MIT" ]

null

V.BETA/claseEsquinas.py

Muteado/proyecto

54cf8babe150a33f75851f6686094de8f743d332

[ "MIT" ]

null

V.BETA/claseEsquinas.py

Muteado/proyecto

54cf8babe150a33f75851f6686094de8f743d332

[ "MIT" ]

null

class Datos: def __init__(self): pass #Bloques ''' def generar_bloques_esquinas(posIniX,posIniY,largoBloq,altoBloq): #BLOQUE AZUL pygame.draw.rect(Pant,Negro, (posIniX, posIniY ,largoBloq+2,altoBloq+2))#Angulo N pygame.draw.rect(Pant,Azul, (posIniX+1, posIniY+1 ,largoBloq,altoBloq))#Angulo B pygame.draw.rect(Pant,Negro, (posIniX, posIniY+21 ,largoBloq+2,altoBloq+2))#Angulo N pygame.draw.rect(Pant,Azul, (posIniX+1, posIniY+22 ,largoBloq,altoBloq))#Angulo B pygame.draw.rect(Pant,Negro, (posIniX, posIniY+42 ,largoBloq+2,altoBloq+2))#Angulo N pygame.draw.rect(Pant,Azul, (posIniX+1, posIniY+43 ,largoBloq,altoBloq))#Angulo B draw_text('Ángulo : ', font3, Blanco, Pant, posIniX+5, posIniY+1) draw_text('Velocidad : ', font3, Blanco, Pant, posIniX+5, posIniY+25) draw_text('Metros : ', font3, Blanco, Pant, posIniX+5, posIniY+46) #BLOQUE ROJO pygame.draw.rect(Pant,Negro, (Pant.get_width()-largoBloq, posIniY ,largoBloq+2,altoBloq+2))#Angulo N pygame.draw.rect(Pant,Rojo, (Pant.get_width()-largoBloq+1, posIniY+1 ,largoBloq,altoBloq))#Angulo B pygame.draw.rect(Pant,Negro, (Pant.get_width()-largoBloq, posIniY+21 ,largoBloq+2,altoBloq+2))#Angulo N pygame.draw.rect(Pant,Rojo, (Pant.get_width()-largoBloq+1, posIniY+22 ,largoBloq,altoBloq))#Angulo B pygame.draw.rect(Pant,Negro, (Pant.get_width()-largoBloq, posIniY+42 ,largoBloq+2,altoBloq+2))#Angulo N pygame.draw.rect(Pant,Rojo, (Pant.get_width()-largoBloq+1, posIniY+43 ,largoBloq,altoBloq))#Angulo B draw_text('Ángulo : ', font3, Blanco, Pant, Pant.get_width()-largoBloq+5, posIniY+1) draw_text('Velocidad : ', font3, Blanco, Pant, Pant.get_width()-largoBloq+5, posIniY+25) draw_text('Metros : ', font3, Blanco, Pant, Pant.get_width()-largoBloq+5, posIniY+46) idth()-largoBloq+5, posIniY+46) ''' #Datos ''' def texto_esquinas(texto_usuario,rectanguloTXT,color,activo): if activo == True: color = Rojo else: color = color #print(texto_usuario) pygame.draw.rect(Pant,color,rectanguloTXT,2) textoenPant = font3.render(texto_usuario,True,Blanco) Pant.blit(textoenPant,(rectanguloTXT.x+5,rectanguloTXT.y+5)) rectanguloTXT.w = textoenPant.get_width()+10 '''

36.081395

93

0.515308

320

3,103

4.915625

0.18125

0.082645

0.115702

0.14876

0.739987

0.721551

0.702479

0.555626

0

0.034236

0.36932

3,103

86

94

36.081395

0.769545

0.003867

0

1

0.333333

false

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

7

67ffa8cd51c49a8a850c68ed397034e7b5e60711

1,654

py

Python

grilly_api/hello.py

QualmandDriven/grilly

0a1d5c95be4dd6f2423b3660ecece4f1ecedba70

[ "MIT" ]

null

grilly_api/hello.py

QualmandDriven/grilly

0a1d5c95be4dd6f2423b3660ecece4f1ecedba70

[ "MIT" ]

null

grilly_api/hello.py

QualmandDriven/grilly

0a1d5c95be4dd6f2423b3660ecece4f1ecedba70

[ "MIT" ]

null

from flask import Flask from flask import jsonify app = Flask(__name__) class Barbecue: Name = "" @app.route("/") def hello(): return "Hello World!" @app.route("/barbecues") def getBarbecues(): b = Barbecue() b.Name = "Wammerl" return jsonify([ { "name": "Steak", "cookingLevels": [ { "name": "Raw", "requiredSeconds": 240, "turns": [ { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 60 } ] }, { "name": "Medium", "requiredSeconds": 360, "turns": [ { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 120 } ] }, { "name": "Well Done", "requiredSeconds": 480, "turns": [ { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 120 }, { "turnAfterSeconds": 120 } ] } ] }, { "name": "Käsegriller", "cookingLevels": [ { "name": "Hell", "requiredSeconds": 240, "turns": [ { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 60 } ] }, { "name": "Braun", "requiredSeconds": 360, "turns": [ { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 120 } ] }, { "name": "Dunkel", "requiredSeconds": 480, "turns": [ { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 30 }, { "turnAfterSeconds": 120 }, { "turnAfterSeconds": 120 } ] } ] } ]) if __name__ == "__main__": app.run()

87.052632

1,365

0.618501

139

1,654

7.273381

0.280576

0.4273

0.807122

0.64095

0.727992

0

0.063264

0.159008

1,654

19

1,366

87.052632

0.663551

0

0.469486

0

1

0.133333

false

0

0.133333

0.066667

0.533333

0

null

1

0

1

0

1

0

null

0

1

0

10

db2eb2a7abdb6db3e29357e204af7f0571c95c84

2,729

py

Python

examples/complex/entry.py

ryanchao2012/airfly

230ddd88885defc67485fa0c51f66c4a67ae98a9

[ "MIT" ]

7

2021-09-27T11:38:48.000Z

2022-02-01T06:06:24.000Z

examples/complex/entry.py

ryanchao2012/airfly

230ddd88885defc67485fa0c51f66c4a67ae98a9

[ "MIT" ]

null

examples/complex/entry.py

ryanchao2012/airfly

230ddd88885defc67485fa0c51f66c4a67ae98a9

[ "MIT" ]

null

from airfly.model.airflow import AirflowTask # Create class create_entry_group(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo create_entry_group") class create_entry_group_result(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo create_entry_group_result") upstreams = create_entry_group class create_entry_group_result2(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo create_entry_group_result2") upstreams = create_entry_group class create_entry_gcs(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo create_entry_gcs") upstreams = create_entry_group class create_entry_gcs_result(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo create_entry_gcs_result") upstreams = create_entry_gcs class create_entry_gcs_result2(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo create_entry_gcs_result") upstreams = create_entry_gcs # Delete class delete_entry(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo delete_entry") upstreams = create_entry_gcs class delete_entry_group(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo delete_entry_group") upstreams = create_entry_group downstreams = delete_entry # Get class get_entry_group(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo get_entry_group") upstreams = create_entry_group downstreams = delete_entry_group class get_entry_group_result(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo get_entry_group_result") upstreams = get_entry_group class get_entry(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo get_entry") upstreams = create_entry_gcs downstreams = delete_entry class get_entry_result(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo get_entry_result") upstreams = get_entry # Lookup class lookup_entry(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo lookup_entry") upstreams = create_entry_gcs downstreams = delete_entry class lookup_entry_result(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo lookup_entry_result") upstreams = lookup_entry # Update class update_entry(AirflowTask): operator_class = "BashOperator" params = dict(bash_command="echo update_entry") upstreams = create_entry_gcs downstreams = delete_entry

26.240385

65

0.765115

323

2,729

6.080495

0.080495

0.128819

0.183299

0.274949

0.881365

0.848778

0.819756

0.749491

0.648167

0

0.001308

0.159399

2,729

103

66

26.495146

0.854839

0.011359

0

0.492308

0

0.193536

0.044205

0

1

0

false

0

0.015385

0

1

0

null

0

1

0

null

0

8

e1edbc72a20fef563aa82b480409285f18215f25

162

py

Python

FinMind/BackTestSystem/__init__.py

HarshCasper/FinMind

7b7571e443525edcd52c7f53e7fb0daca42b1f60

[ "Apache-2.0" ]

2

2021-01-29T07:55:52.000Z

2021-01-29T07:55:56.000Z

FinMind/BackTestSystem/__init__.py

HarshCasper/FinMind

7b7571e443525edcd52c7f53e7fb0daca42b1f60

[ "Apache-2.0" ]

null

FinMind/BackTestSystem/__init__.py

HarshCasper/FinMind

7b7571e443525edcd52c7f53e7fb0daca42b1f60

[ "Apache-2.0" ]

1

2021-01-15T08:29:37.000Z

from FinMind.BackTestSystem.BaseClass import BackTest, Strategy from FinMind.BackTestSystem import Strategies from FinMind.BackTestSystem import BaseClass, utils

40.5

63

0.876543

18

162

7.888889

0.5

0.232394

0.528169

0.43662

0

0.08642

162

3

64

54

0.959459

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

c001591212b8ace52c13565037a7f3dc0bc3030b

7,432

py

Python

tests/integration/serverless/v1/test_service.py

timgates42/twilio-python

ef29d03a4857b62b616df4a8f4f2b7c294afbb99

[ "MIT" ]

1

2021-01-07T11:41:11.000Z

twilio-twilio-python-2fb5d37/tests/integration/serverless/v1/test_service.py

RomanPanshin/XClassBack

6bb8bb5458fd991bcb22ed8c315d10cc5cea9d38

[ "BSD-2-Clause" ]

1

2021-08-21T22:54:01.000Z

2021-08-23T19:39:42.000Z

tests/integration/serverless/v1/test_service.py

team-telnyx/twexit-python

69e11c5c2b5681f9bc410795dda0cf8942219e6f

[ "MIT" ]

4

2021-03-25T09:00:08.000Z

2021-08-05T06:54:23.000Z

# coding=utf-8 r""" This code was generated by \ / _ _ _| _ _ | (_)\/(_)(_|\/| |(/_ v1.0.0 / / """ from tests import IntegrationTestCase from tests.holodeck import Request from twilio.base.exceptions import TwilioException from twilio.http.response import Response class ServiceTestCase(IntegrationTestCase): def test_list_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.serverless.v1.services.list() self.holodeck.assert_has_request(Request( 'get', 'https://serverless.twilio.com/v1/Services', )) def test_read_empty_response(self): self.holodeck.mock(Response( 200, ''' { "services": [], "meta": { "first_page_url": "https://serverless.twilio.com/v1/Services?PageSize=50&Page=0", "key": "services", "next_page_url": null, "page": 0, "page_size": 50, "previous_page_url": null, "url": "https://serverless.twilio.com/v1/Services?PageSize=50&Page=0" } } ''' )) actual = self.client.serverless.v1.services.list() self.assertIsNotNone(actual) def test_fetch_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.serverless.v1.services("ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").fetch() self.holodeck.assert_has_request(Request( 'get', 'https://serverless.twilio.com/v1/Services/ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX', )) def test_fetch_response(self): self.holodeck.mock(Response( 200, ''' { "sid": "ZS00000000000000000000000000000000", "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "friendly_name": "test-service", "unique_name": "test-service-1", "include_credentials": true, "ui_editable": false, "date_created": "2018-11-10T20:00:00Z", "date_updated": "2018-11-10T20:00:00Z", "url": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000", "links": { "environments": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Environments", "functions": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Functions", "assets": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Assets", "builds": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Builds" } } ''' )) actual = self.client.serverless.v1.services("ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").fetch() self.assertIsNotNone(actual) def test_delete_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.serverless.v1.services("ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").delete() self.holodeck.assert_has_request(Request( 'delete', 'https://serverless.twilio.com/v1/Services/ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX', )) def test_delete_response(self): self.holodeck.mock(Response( 204, None, )) actual = self.client.serverless.v1.services("ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").delete() self.assertTrue(actual) def test_create_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.serverless.v1.services.create(unique_name="unique_name", friendly_name="friendly_name") values = {'UniqueName': "unique_name", 'FriendlyName': "friendly_name", } self.holodeck.assert_has_request(Request( 'post', 'https://serverless.twilio.com/v1/Services', data=values, )) def test_create_response(self): self.holodeck.mock(Response( 201, ''' { "sid": "ZS00000000000000000000000000000000", "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "friendly_name": "service-friendly", "unique_name": "service-unique", "include_credentials": true, "ui_editable": false, "date_created": "2018-11-10T20:00:00Z", "date_updated": "2018-11-10T20:00:00Z", "url": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000", "links": { "environments": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Environments", "functions": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Functions", "assets": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Assets", "builds": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Builds" } } ''' )) actual = self.client.serverless.v1.services.create(unique_name="unique_name", friendly_name="friendly_name") self.assertIsNotNone(actual) def test_update_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.serverless.v1.services("ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").update() self.holodeck.assert_has_request(Request( 'post', 'https://serverless.twilio.com/v1/Services/ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX', )) def test_update_response(self): self.holodeck.mock(Response( 200, ''' { "sid": "ZS00000000000000000000000000000000", "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "friendly_name": "service-friendly-update", "unique_name": "service-unique-update", "include_credentials": true, "ui_editable": true, "date_created": "2018-11-10T20:00:00Z", "date_updated": "2018-11-10T20:00:00Z", "url": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000", "links": { "environments": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Environments", "functions": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Functions", "assets": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Assets", "builds": "https://serverless.twilio.com/v1/Services/ZS00000000000000000000000000000000/Builds" } } ''' )) actual = self.client.serverless.v1.services("ZSXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX").update() self.assertIsNotNone(actual)

38.910995

128

0.593918

615

7,432

7.050407

0.160976

0.073801

0.10655

0.121771

0.862316

0.83464

0.809502

0.789437

0.763146

0.69857

0

0.138242

0.283638

7,432

190

129

39.115789

0.676183

0.014666

0

0.582278

1

0

0.180824

0.058739

0

0.189873

1

0.126582

false

0

0.050633

0

0.189873

0

null

0

1

0

1

0

null

0

7

c02e03354943c1e636d0da1a38dce8d37c309af7

2,066

py

Python

Hackathon 4.0_2021-01-08_14-05-03.py

ClointFusion-Community/CFC-Projects

c6381738ade07e6e8979bbae37400ec2b4e626c5

[ "MIT" ]

null

Hackathon 4.0_2021-01-08_14-05-03.py

ClointFusion-Community/CFC-Projects

c6381738ade07e6e8979bbae37400ec2b4e626c5

[ "MIT" ]

null

Hackathon 4.0_2021-01-08_14-05-03.py

ClointFusion-Community/CFC-Projects

c6381738ade07e6e8979bbae37400ec2b4e626c5

[ "MIT" ]

null

# This code is generated automatically by ClointFusion BOT Builder Tool. import ClointFusion as cf import time cf.window_show_desktop() cf.mouse_click(int(cf.pg.size()[0]/2),int(cf.pg.size()[1]/2)) try: cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_3n8u_1nw_generator\Images\Snips\1--338_41.png',conf=0.7, wait=10),left_or_right='left', single_double_triple = 'single') except: cf.mouse_click(338,41,left_or_right='left', single_double_triple = 'single') time.sleep(0) try: cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_3n8u_1nw_generator\Images\Snips\2--338_41.png',conf=0.7, wait=13),left_or_right='left', single_double_triple = 'double') except: cf.mouse_click(338,41,left_or_right='left', single_double_triple = 'double') time.sleep(3) try: cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_3n8u_1nw_generator\Images\Snips\3-NewTabGoogleChrome-338_21.png',conf=0.7, wait=13),left_or_right='left', single_double_triple = 'single') except: cf.mouse_click(338,21,left_or_right='left', single_double_triple = 'single') time.sleep(3) cf.key_write_enter('modiji',key='') time.sleep(0) cf.key_press('enter') time.sleep(29) try: cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_3n8u_1nw_generator\Images\Snips\4-modijiGoogleSearchGoogleChrome-1889_18.png',conf=0.7, wait=15),left_or_right='left', single_double_triple = 'single') except: cf.mouse_click(1889,18,left_or_right='left', single_double_triple = 'single') time.sleep(5) try: cf.mouse_click(*cf.mouse_search_snip_return_coordinates_x_y(r'C:\Users\mrmay\AppData\Local\Temp\cf_log_3n8u_1nw_generator\Images\Snips\5--1078_1043.png',conf=0.7, wait=10),left_or_right='left', single_double_triple = 'single') except: cf.mouse_click(1078,1043,left_or_right='left', single_double_triple = 'single') time.sleep(0) cf.window_close_windows('nan')

43.957447

258

0.782188

358

2,066

4.198324

0.226257

0.074518

0.087824

0.0998

0.777778

0.769128

0.762475

0.754491

0

0.057054

0.066796

2,066

47

259

43.957447

0.72251

0.033882

0

0.441176

1

0.147059

0.298747

0.241604

0

1

0

true

0

0.058824

0

0.058824

0

null

0

1

0

1

0

null

0

1

0

7

c04fdf840a7b2de64d57993d70c7a6ebbdb303dc

31

py

Python

pyfiles/0.py

StevenPZChan/pythonchallenge

84c0e7458189f6d74e2cfbd169d854dae11d07a9

[ "MIT" ]

null

pyfiles/0.py

StevenPZChan/pythonchallenge

84c0e7458189f6d74e2cfbd169d854dae11d07a9

[ "MIT" ]

null

pyfiles/0.py

StevenPZChan/pythonchallenge

84c0e7458189f6d74e2cfbd169d854dae11d07a9

[ "MIT" ]

null

print(2 ** 38) # 274877906944

15.5

30

0.645161

4

31

5

1

0

0.6

0.193548

31

1

31

0.2

0.387097

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

c059792f04f0d4df3226a48e8f7701383ff8e148

561

py

Python

sqlite_flask.py

sdfxisme/lesson16

c481e09dff1a39c243582fc8461fbdaec075daca

[ "MIT" ]

null

sqlite_flask.py

sdfxisme/lesson16

c481e09dff1a39c243582fc8461fbdaec075daca

[ "MIT" ]

null

sqlite_flask.py

sdfxisme/lesson16

c481e09dff1a39c243582fc8461fbdaec075daca

[ "MIT" ]

null

import sqlite3 as lite import sys connect = None connect = lite.connect('test.db') cur = connect.cursor() sqlite_select_query = """SELECT city, prof, sallary_from, sallary_to from hhotelka""" cur.execute(sqlite_select_query) records = cur.fetchall() print(len(records)) for row in records: print(row) connect = lite.connect('test.db') cur = connect.cursor() sqlite_select_query = """SELECT city, prof, sallary_from, sallary_to from hh""" cur.execute(sqlite_select_query) records = cur.fetchall() print(len(records)) for row in records: print(row)

21.576923

85

0.743316

82

561

4.939024

0.353659

0.118519

0.167901

0.108642

0.879012

0

0.002049

0.130125

561

26

86

21.576923

0.827869

0

0.736842

0

0.217082

0

1

0

false

0

0.105263

0

0.105263

0.210526

0

null

0

1

0

1

0

null

0

7

c060f6f38491a855f9a841593c73716e4372c2ea

1,642

py

Python

testing/bike.py

kylecorry31/Bikeshare

0167dc6b2e94d7b87975f2db0e3af21cbef85129

[ "MIT" ]

null

testing/bike.py

kylecorry31/Bikeshare

0167dc6b2e94d7b87975f2db0e3af21cbef85129

[ "MIT" ]

2

2018-09-23T22:29:40.000Z

2018-09-24T12:56:01.000Z

testing/bike.py

kylecorry31/Bikeshare

0167dc6b2e94d7b87975f2db0e3af21cbef85129

[ "MIT" ]

null

import unittest from bikeshare.entities import BikeState, Bike from bikeshare import Logger from testing import mocks class TestBikeStateMachine(unittest.TestCase): def test_states(self): Logger.on = False bikeshare = mocks.MockBikeShare() bike = bikeshare.bike # Typical use self.assertEqual(bike.state, BikeState.ACTIVE_NO_USER) bike.on_swipe(0) self.assertEqual(bike.state, BikeState.ACTIVE_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.ACTIVE_USER) bike.on_swipe(0) self.assertEqual(bike.state, BikeState.ACTIVE_NO_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.ACTIVE_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.ACTIVE_NO_USER) # Out of order bike.on_deactivate() self.assertEqual(bike.state, BikeState.OUT_OF_ORDER_NO_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.OUT_OF_ORDER_NO_USER) bike.on_activate() self.assertEqual(bike.state, BikeState.ACTIVE_NO_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.ACTIVE_USER) bike.on_deactivate() self.assertEqual(bike.state, BikeState.OUT_OF_ORDER_USER) bike.on_swipe(0) self.assertEqual(bike.state, BikeState.OUT_OF_ORDER_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.OUT_OF_ORDER_NO_USER) bike.on_activate() self.assertEqual(bike.state, BikeState.ACTIVE_NO_USER) bike.on_swipe(1) self.assertEqual(bike.state, BikeState.ACTIVE_USER) bike.on_deactivate() self.assertEqual(bike.state, BikeState.OUT_OF_ORDER_USER) bike.on_activate() self.assertEqual(bike.state, BikeState.ACTIVE_USER)

19.317647

62

0.774056

235

1,642

5.178723

0.148936

0.209532

0.265407

0.335251

0.806081

0.802794

0.797864

0

0.006944

0.123021

1,642

84

63

19.547619

0.838194

0.014616

0

0.785714

0

0.404762

1

0.02381

false

0

0.095238

0

0.142857

0

null

1

0

1

0

null

0

1

0

11

2261a73f96cdcf52a2d0366bd16d85f239d82cdf

274

py

Python

__init__.py

tfredian/mdsConnector

31eda5419a6dc5406222f3792b98d5c1f0e73904

[ "MIT" ]

2

2019-09-24T19:56:25.000Z

2020-08-27T19:25:31.000Z

__init__.py

tfredian/mdsConnector

31eda5419a6dc5406222f3792b98d5c1f0e73904

[ "MIT" ]

1

2021-09-12T06:03:31.000Z

__init__.py

tfredian/mdsConnector

31eda5419a6dc5406222f3792b98d5c1f0e73904

[ "MIT" ]

1

2018-09-26T12:06:38.000Z

def _import(name, level=1): try: if not __package__: return __import__(name, globals()) return __import__(name, globals(), level=level) except: return __import__(name, globals()) mdsConnector=_import('mdsconnector').mdsConnector

27.4

55

0.653285

28

274

5.75

0.464286

0.248447

0.298137

0.428571

0

0.004762

0.233577

274

9

56

30.444444

0.761905

0

0.25

0

0.043956

0

1

0.125

false

0

0.625

0

1.125

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

3f731be9e243361f8e0d3e5bab1d08e3a6b4da79

24,135

py

Python

apps/node/tests/websocket_api/test_roles_ws.py

gbarvinok/federatedlearning

2f74ee492c1c6c603f3d78f32406a0c94bf9d8c3

[ "Apache-2.0" ]

null

apps/node/tests/websocket_api/test_roles_ws.py

gbarvinok/federatedlearning

2f74ee492c1c6c603f3d78f32406a0c94bf9d8c3

[ "Apache-2.0" ]

null

apps/node/tests/websocket_api/test_roles_ws.py

gbarvinok/federatedlearning

2f74ee492c1c6c603f3d78f32406a0c94bf9d8c3

[ "Apache-2.0" ]

null

from json import loads import jwt import pytest from flask import current_app as app from src.app.main.events.role_related import * from src.app.main.core.exceptions import PyGridError from src.app.main.database import Role, User, create_role, create_user, model_to_json role = { "name": "mario mario", "can_triage_requests": False, "can_edit_settings": False, "can_create_users": True, "can_create_groups": True, "can_edit_roles": False, "can_manage_infrastructure": False, "can_upload_data": False, } JSON_DECODE_ERR_MSG = ( "Expecting property name enclosed in " "double quotes: line 1 column 2 (char 1)" ) owner_role = ("Owner", True, True, True, True, True, True, True) admin_role = ("Administrator", True, True, True, True, False, False, True) user_role = ("User", False, False, False, False, False, False, False) officer_role = ("Compliance Officer", True, False, False, False, False, False, False) user_1 = ( "tech@gibberish.com", "BDEB6E8EE39B6C70835993486C9E65DC", "]GBF[R>GX[9Cmk@DthFT!mhloUc%[f", "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", 1, ) user_2 = ( "tech@gibberish.com", "BDEB6E8EE39B6C70835993486C9E65DC", "]GBF[R>GX[9Cmk@DthFT!mhloUc%[f", "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", 2, ) @pytest.fixture def cleanup(database): yield try: database.session.query(User).delete() database.session.query(Role).delete() database.session.commit() except: database.session.rollback() # POST ROLE def test_post_role_missing_token(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() payload = { "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", } result = create_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_post_role_missing_key(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = {"role": role, "token": token.decode("UTF-8")} result = create_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_post_role_invalid_key(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "role": role, "private-key": "IdoNotExist", "token": token.decode("UTF-8"), } result = create_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_post_role_invalid_token(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"asdsadad": 124356}, app.config["SECRET_KEY"]) payload = { "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = create_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_post_role_user_with_missing_role(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = create_role_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_post_role_missing_user(client, database, cleanup): token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = create_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_post_role_unauthorized_user(client, database, cleanup): new_role = create_role(*admin_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = create_role_socket(payload) result = loads(result) assert result["error"] == "User is not authorized for this operation!" def test_post_role_success(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = create_role_socket(payload) result = loads(result) expected_role = role.copy() expected_role["id"] = 3 # Two roles already inserted assert result["role"] == expected_role # GET ALL ROLES def test_get_all_roles_missing_token(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() payload = { "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb" } result = get_all_roles_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_get_all_roles_missing_key(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = {"role": role, "token": token.decode("UTF-8")} result = get_all_roles_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_get_all_roles_invalid_key(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "private-key": "siohfigdadANDVBSIAWE0WI21Y8OR1082ORHFEDNSLCSADIJOKA", "token": token.decode("UTF-8"), } result = get_all_roles_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_get_all_roles_invalid_token(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, "totally a secret, trust me") payload = { "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_all_roles_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_get_all_roles_user_with_missing_role(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_all_roles_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_get_all_roles_unauthorized_user(client, database, cleanup): new_role = create_role(*user_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_all_roles_socket(payload) result = loads(result) assert result["error"] == "User is not authorized for this operation!" def test_get_all_roles_success(client, database, cleanup): role1 = create_role(*user_role) database.session.add(role1) role2 = create_role(*admin_role) database.session.add(role2) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_all_roles_socket(payload) result = loads(result) expected_roles = [model_to_json(role1), model_to_json(role2)] assert result["roles"] == expected_roles # GET SINGLE ROLE def test_get_role_missing_key(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = {"id": 1, "token": token.decode("UTF-8")} result = get_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_get_role_missing_token(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", } result = get_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_get_role_invalid_key(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = {"id": 1, "private-key": "IdoNotExist", "token": token.decode("UTF-8")} result = get_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_get_role_invalid_token(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"asdsadad": 124356}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_get_role_missing_user(client): token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 2, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_get_role_missing_role(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_role_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_get_role_unauthorized_user(client, database, cleanup): new_role = create_role(*user_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_role_socket(payload) result = loads(result) assert result["error"] == "User is not authorized for this operation!" def test_get_role_success(client, database, cleanup): role1 = create_role(*user_role) database.session.add(role1) role2 = create_role(*admin_role) database.session.add(role2) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = get_role_socket(payload) result = loads(result) expected_role = model_to_json(role1) assert result["role"] == expected_role # PUT ROLE def test_put_role_missing_key(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = {"role": role, "id": 1, "token": token.decode("UTF-8")} result = put_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_put_role_missing_token(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() payload = { "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb" } result = put_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_put_role_invalid_key(client, database, cleanup): new_role = create_role(*owner_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "role": role, "private-key": "dsapksasdp12-04290u83t5r752tyvdwhbsacnxz", "token": token.decode("UTF-8"), } result = put_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_put_role_invalid_token(client, database, cleanup): new_role = create_role(*owner_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, "1029382trytdfsvcbxz") payload = { "id": 1, "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = put_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_put_role_user_with_missing_role(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = put_role_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_put_role_unauthorized_user(client, database, cleanup): new_role = create_role(*admin_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = put_role_socket(payload) result = loads(result) assert result["error"] == "User is not authorized for this operation!" def test_put_over_missing_role(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 3, "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = put_role_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_put_role_success(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "role": role, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = put_role_socket(payload) result = loads(result) expected_role = role expected_role["id"] = 1 assert result["role"] == expected_role # DELETE ROLE def test_delete_role_missing_key(client, database, cleanup): new_role = create_role(*owner_role) database.session.add(new_role) new_role = create_role(*admin_role) database.session.add(new_role) new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = {"id": 2, "token": token.decode("UTF-8")} result = delete_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_delete_role_missing_token(client, database, cleanup): new_role = create_role(*owner_role) database.session.add(new_role) new_role = create_role(*admin_role) database.session.add(new_role) new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() payload = { "id": 2, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", } result = delete_role_socket(payload) result = loads(result) assert result["error"] == "Missing request key!" def test_delete_role_invalid_key(client, database, cleanup): new_role = create_role(*owner_role) database.session.add(new_role) new_role = create_role(*admin_role) database.session.add(new_role) new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 2, "private-key": "1230896843rtfsvdjb123453212098792171766n", "token": token.decode("UTF-8"), } result = delete_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_delete_role_invalid_token(client, database, cleanup): new_role = create_role(*owner_role) database.session.add(new_role) new_role = create_role(*admin_role) database.session.add(new_role) new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, "213p4u4trgsvczxnwdaere67yiukyhj") payload = { "id": 2, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = delete_role_socket(payload) result = loads(result) assert result["error"] == "Invalid credentials!" def test_delete_role_missing_role(client, database, cleanup): new_user = create_user(*user_1) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = delete_role_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_delete_role_unauthorized_user(client, database, cleanup): new_role = create_role(*admin_role) new_user = create_user(*user_1) database.session.add(new_role) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = delete_role_socket(payload) result = loads(result) assert result["error"] == "User is not authorized for this operation!" def test_delete_role_user_with_missing_role(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 3, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = delete_role_socket(payload) result = loads(result) assert result["error"] == "Role ID not found!" def test_delete_role_success(client, database, cleanup): new_role = create_role(*admin_role) database.session.add(new_role) new_role = create_role(*owner_role) database.session.add(new_role) new_user = create_user(*user_2) database.session.add(new_user) database.session.commit() token = jwt.encode({"id": 1}, app.config["SECRET_KEY"]) payload = { "id": 1, "private-key": "3c777d6e1cece1e78aa9c26ae7fa2ecf33a6d3fb1db7c1313e7b79ef3ee884eb", "token": token.decode("UTF-8"), } result = delete_role_socket(payload) result = loads(result) assert database.session.query(Role).get(1) is None

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2,859

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0.049318

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0.093205

0.103435

0.924097

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0.891639

0.890503

0.889555

0.884504

0

0.062484

0.187031

24,135

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null

0

1

0

1

0

null

0

7

58cdf7e743941f2d87960a497f1903d845d41b04

1,169

py

Python

root/labels.py

jko0401/IT299-project

89ddaa13b757ed85b149721a51d7ff496b9a6a14

[ "MIT" ]

null

root/labels.py

jko0401/IT299-project

89ddaa13b757ed85b149721a51d7ff496b9a6a14

[ "MIT" ]

null

root/labels.py

jko0401/IT299-project

89ddaa13b757ed85b149721a51d7ff496b9a6a14

[ "MIT" ]

null

FEATURES = dict( s_release_date='Spotify Release Date', datepublished='YouTube Publish Date', tempo='Tempo', energy='Energy', danceability='Danceability', loudness='Loudness', instrumentalness='Instrumentalness', liveness='Liveness', valence='Positiveness', speechiness='Speechiness', acousticness='Acousticness', music_key='Key', ) SCATTER = dict( popularity='Popularity', s_release_date='Spotify Release Date', datepublished='YouTube Publish Date', view_count='YouTube Play Count', tempo='Tempo', energy='Energy', danceability='Danceability', loudness='Loudness', instrumentalness='Instrumentalness', liveness='Liveness', valence='Positiveness', speechiness='Speechiness', acousticness='Acousticness', music_key='Key', ) SUMMARY = dict( popularity='Popularity', view_count='YouTube Play Count', tempo='Tempo', energy='Energy', danceability='Danceability', loudness='Loudness', instrumentalness='Instrumentalness', liveness='Liveness', valence='Positiveness', speechiness='Speechiness', acousticness='Acousticness', )

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1,169

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0.083228

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0

0.180496

1,169

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false

0

null

0

1

0

1

0

null

0

7

58f54ebb058f7fbda99b82795286abb45a2864f7

43

py

Python

easy_vector/__init__.py

kunov/easy_vector

938a61790dc33f14cec0b0b4391a2777dc6d1178

[ "MIT" ]

null

easy_vector/__init__.py

kunov/easy_vector

938a61790dc33f14cec0b0b4391a2777dc6d1178

[ "MIT" ]

null

easy_vector/__init__.py

kunov/easy_vector

938a61790dc33f14cec0b0b4391a2777dc6d1178

[ "MIT" ]

null

from easy_vector.easy_vector import Vector

21.5

42

0.883721

7

43

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43

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1

0

null

0

1

0

1

0

1

0

7

189d49d9894f175458a04c4bcd5c69e02048a292

22,592

py

Python

modules/api/functional_test/live_tests/membership/update_group_test.py

exoego/vinyldns

aac4c2afe4c599ac8c96ad3a826f3a6dff887104

[ "Apache-2.0" ]

null

modules/api/functional_test/live_tests/membership/update_group_test.py

exoego/vinyldns

aac4c2afe4c599ac8c96ad3a826f3a6dff887104

[ "Apache-2.0" ]

null

modules/api/functional_test/live_tests/membership/update_group_test.py

exoego/vinyldns

aac4c2afe4c599ac8c96ad3a826f3a6dff887104

[ "Apache-2.0" ]

null

import pytest import json import time from hamcrest import * from vinyldns_python import VinylDNSClient def test_update_group_success(shared_zone_test_context): """ Tests that we can update a group that has been created """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-update-group-success', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) group = client.get_group(saved_group['id'], status=200) assert_that(group['name'], is_(saved_group['name'])) assert_that(group['email'], is_(saved_group['email'])) assert_that(group['description'], is_(saved_group['description'])) assert_that(group['status'], is_(saved_group['status'])) assert_that(group['created'], is_(saved_group['created'])) assert_that(group['id'], is_(saved_group['id'])) time.sleep(1) # sleep to ensure that update doesnt change created time update_group = { 'id': group['id'], 'name': 'updated-name', 'email': 'update@test.com', 'description': 'this is a new description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } group = client.update_group(update_group['id'], update_group, status=200) assert_that(group['name'], is_(update_group['name'])) assert_that(group['email'], is_(update_group['email'])) assert_that(group['description'], is_(update_group['description'])) assert_that(group['status'], is_(saved_group['status'])) assert_that(group['created'], is_(saved_group['created'])) assert_that(group['id'], is_(saved_group['id'])) assert_that(group['members'][0]['id'], is_('ok')) assert_that(group['admins'][0]['id'], is_('ok')) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_update_group_without_name(shared_zone_test_context): """ Tests that updating a group without a name fails """ client = shared_zone_test_context.ok_vinyldns_client result = None try: new_group = { 'name': 'test-update-without-name', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } result = client.create_group(new_group, status=200) assert_that(result['name'], is_(new_group['name'])) assert_that(result['email'], is_(new_group['email'])) update_group = { 'id': result['id'], 'email': 'update@test.com', 'description': 'this is a new description' } errors = client.update_group(update_group['id'], update_group, status=400)['errors'] assert_that(errors[0], is_("Missing Group.name")) finally: if result: client.delete_group(result['id'], status=(200,404)) def test_update_group_without_email(shared_zone_test_context): """ Tests that updating a group without an email fails """ client = shared_zone_test_context.ok_vinyldns_client result = None try: new_group = { 'name': 'test-update-without-email', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } result = client.create_group(new_group, status=200) assert_that(result['name'], is_(new_group['name'])) assert_that(result['email'], is_(new_group['email'])) update_group = { 'id': result['id'], 'name': 'without-email', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } errors = client.update_group(update_group['id'], update_group, status=400)['errors'] assert_that(errors[0], is_("Missing Group.email")) finally: if result: client.delete_group(result['id'], status=(200,404)) def test_updating_group_without_name_or_email(shared_zone_test_context): """ Tests that updating a group without name or an email fails """ client = shared_zone_test_context.ok_vinyldns_client result = None try: new_group = { 'name': 'test-update-without-name-and-email', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } result = client.create_group(new_group, status=200) assert_that(result['name'], is_(new_group['name'])) assert_that(result['email'], is_(new_group['email'])) update_group = { 'id': result['id'], 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } errors = client.update_group(update_group['id'], update_group, status=400)['errors'] assert_that(errors, has_length(2)) assert_that(errors, contains_inanyorder( "Missing Group.name", "Missing Group.email" )) finally: if result: client.delete_group(result['id'], status=(200,404)) def test_updating_group_without_members_or_admins(shared_zone_test_context): """ Tests that updating a group without members or admins fails """ client = shared_zone_test_context.ok_vinyldns_client result = None try: new_group = { 'name': 'test-update-without-members', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } result = client.create_group(new_group, status=200) assert_that(result['name'], is_(new_group['name'])) assert_that(result['email'], is_(new_group['email'])) update_group = { 'id': result['id'], 'name': 'test-update-without-members', 'email': 'test@test.com', 'description': 'this is a description', } errors = client.update_group(update_group['id'], update_group, status=400)['errors'] assert_that(errors, has_length(2)) assert_that(errors, contains_inanyorder( "Missing Group.members", "Missing Group.admins" )) finally: if result: client.delete_group(result['id'], status=(200,404)) def test_update_group_adds_admins_as_members(shared_zone_test_context): """ Tests that when we add an admin to a group the admin is also a member """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-update-group-admins-as-members', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) group = client.get_group(saved_group['id'], status=200) assert_that(group['name'], is_(saved_group['name'])) assert_that(group['email'], is_(saved_group['email'])) assert_that(group['description'], is_(saved_group['description'])) assert_that(group['status'], is_(saved_group['status'])) assert_that(group['created'], is_(saved_group['created'])) assert_that(group['id'], is_(saved_group['id'])) update_group = { 'id': group['id'], 'name': 'test-update-group-admins-as-members', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'}, { 'id': 'dummy' } ] } group = client.update_group(update_group['id'], update_group, status=200) import json print json.dumps(group, indent=4) assert_that(group['members'], has_length(2)) assert_that(['ok', 'dummy'], has_item(group['members'][0]['id'])) assert_that(['ok', 'dummy'], has_item(group['members'][1]['id'])) assert_that(group['admins'], has_length(2)) assert_that(['ok', 'dummy'], has_item(group['admins'][0]['id'])) assert_that(['ok', 'dummy'], has_item(group['admins'][1]['id'])) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_update_group_conflict(shared_zone_test_context): """ Tests that we can not update a groups name to a name already in use """ client = shared_zone_test_context.ok_vinyldns_client result = None conflict_group=None try: new_group = { 'name': 'test_update_group_conflict', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } conflict_group = client.create_group(new_group, status=200) assert_that(conflict_group['name'], is_(new_group['name'])) other_group = { 'name': 'change_me', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } result = client.create_group(other_group, status=200) assert_that(result['name'], is_(other_group['name'])) # change the name of the other_group to the first group (conflict) update_group = { 'id': result['id'], 'name': 'test_update_group_conflict', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } client.update_group(update_group['id'], update_group, status=409) finally: if result: client.delete_group(result['id'], status=(200,404)) if conflict_group: client.delete_group(conflict_group['id'], status=(200,404)) def test_update_group_not_found(shared_zone_test_context): """ Tests that we can not update a group that has not been created """ client = shared_zone_test_context.ok_vinyldns_client update_group = { 'id': 'test-update-group-not-found', 'name': 'test-update-group-not-found', 'email': 'update@test.com', 'description': 'this is a new description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } client.update_group(update_group['id'], update_group, status=404) def test_update_group_deleted(shared_zone_test_context): """ Tests that we can not update a group that has been deleted """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-update-group-deleted', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) client.delete_group(saved_group['id'], status=200) update_group = { 'id': saved_group['id'], 'name': 'test-update-group-deleted-updated', 'email': 'update@test.com', 'description': 'this is a new description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } client.update_group(update_group['id'], update_group, status=404) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_add_member_via_update_group_success(shared_zone_test_context): """ Tests that we can add a member to a group via update successfully """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-add-member-to-via-update-group-success', 'email': 'test@test.com', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) updated_group = { 'id': saved_group['id'], 'name': 'test-add-member-to-via-update-group-success', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, { 'id': 'dummy' } ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.update_group(updated_group['id'], updated_group, status=200) expected_members = ['ok', 'dummy'] assert_that(saved_group['members'], has_length(2)) assert_that(expected_members, has_item(saved_group['members'][0]['id'])) assert_that(expected_members, has_item(saved_group['members'][1]['id'])) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_add_member_to_group_twice_via_update_group(shared_zone_test_context): """ Tests that we can add a member to a group twice successfully via update group """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-add-member-to-group-twice-success-via-update-group', 'email': 'test@test.com', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) updated_group = { 'id': saved_group['id'], 'name': 'test-add-member-to-group-twice-success-via-update-group', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, { 'id': 'dummy' } ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.update_group(updated_group['id'], updated_group, status=200) saved_group = client.update_group(updated_group['id'], updated_group, status=200) expected_members = ['ok', 'dummy'] assert_that(saved_group['members'], has_length(2)) assert_that(expected_members, has_item(saved_group['members'][0]['id'])) assert_that(expected_members, has_item(saved_group['members'][1]['id'])) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_add_not_found_member_to_group_via_update_group(shared_zone_test_context): """ Tests that we can not add a non-existent member to a group via update group """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-add-not-found-member-to-group-via-update-group', 'email': 'test@test.com', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) result = client.get_group(saved_group['id'], status=200) assert_that(result['members'], has_length(1)) updated_group = { 'id': saved_group['id'], 'name': 'test-add-not-found-member-to-group-via-update-group', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, { 'id': 'not_found' } ], 'admins': [ { 'id': 'ok'} ] } client.update_group(updated_group['id'], updated_group, status=404) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_remove_member_via_update_group_success(shared_zone_test_context): """ Tests that we can remove a member via update group successfully """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-remove-member-via-update-group-success', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, {'id': 'dummy'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.create_group(new_group, status=200) assert_that(saved_group['members'], has_length(2)) updated_group = { 'id': saved_group['id'], 'name': 'test-remove-member-via-update-group-success', 'email': 'test@test.com', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.update_group(updated_group['id'], updated_group, status=200) assert_that(saved_group['members'], has_length(1)) assert_that(saved_group['members'][0]['id'], is_('ok')) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_remove_member_and_admin(shared_zone_test_context): """ Tests that if we remove a member who is an admin, the admin is also removed """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-remove-member-and-admin', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, {'id': 'dummy'} ], 'admins': [ { 'id': 'ok'}, {'id': 'dummy'} ] } saved_group = client.create_group(new_group, status=200) assert_that(saved_group['members'], has_length(2)) updated_group = { 'id': saved_group['id'], 'name': 'test-remove-member-and-admin', 'email': 'test@test.com', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.update_group(updated_group['id'], updated_group, status=200) assert_that(saved_group['members'], has_length(1)) assert_that(saved_group['members'][0]['id'], is_('ok')) assert_that(saved_group['admins'], has_length(1)) assert_that(saved_group['admins'][0]['id'], is_('ok')) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_remove_member_but_not_admin_keeps_member(shared_zone_test_context): """ Tests that if we remove a member but do not remove the admin, the admin remains a member """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-remove-member-not-admin-keeps-member', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, {'id': 'dummy'} ], 'admins': [ { 'id': 'ok'}, {'id': 'dummy'} ] } saved_group = client.create_group(new_group, status=200) assert_that(saved_group['members'], has_length(2)) updated_group = { 'id': saved_group['id'], 'name': 'test-remove-member-not-admin-keeps-member', 'email': 'test@test.com', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'}, {'id': 'dummy'} ] } saved_group = client.update_group(updated_group['id'], updated_group, status=200) expected_members = ['ok', 'dummy'] assert_that(saved_group['members'], has_length(2)) assert_that(expected_members, has_item(saved_group['members'][0]['id'])) assert_that(expected_members, has_item(saved_group['members'][1]['id'])) assert_that(expected_members, has_item(saved_group['admins'][0]['id'])) assert_that(expected_members, has_item(saved_group['admins'][1]['id'])) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_remove_admin_keeps_member(shared_zone_test_context): """ Tests that if we remove a member from admins, the member still remains part of the group """ client = shared_zone_test_context.ok_vinyldns_client saved_group = None try: new_group = { 'name': 'test-remove-admin-keeps-member', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, {'id': 'dummy'} ], 'admins': [ { 'id': 'ok'}, {'id': 'dummy'} ] } saved_group = client.create_group(new_group, status=200) assert_that(saved_group['members'], has_length(2)) updated_group = { 'id': saved_group['id'], 'name': 'test-remove-admin-keeps-member', 'email': 'test@test.com', 'members': [ { 'id': 'ok'}, {'id': 'dummy'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = client.update_group(updated_group['id'], updated_group, status=200) expected_members = ['ok', 'dummy'] assert_that(saved_group['members'], has_length(2)) assert_that(expected_members, has_item(saved_group['members'][0]['id'])) assert_that(expected_members, has_item(saved_group['members'][1]['id'])) assert_that(saved_group['admins'], has_length(1)) assert_that(saved_group['admins'][0]['id'], is_('ok')) finally: if saved_group: client.delete_group(saved_group['id'], status=(200,404)) def test_update_group_not_authorized(shared_zone_test_context): """ Tests that only the admins can update a zone """ ok_client = shared_zone_test_context.ok_vinyldns_client not_admin_client = shared_zone_test_context.dummy_vinyldns_client try: new_group = { 'name': 'test-update-group-not-authorized', 'email': 'test@test.com', 'description': 'this is a description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } saved_group = ok_client.create_group(new_group, status=200) update_group = { 'id': saved_group['id'], 'name': 'updated-name', 'email': 'update@test.com', 'description': 'this is a new description', 'members': [ { 'id': 'ok'} ], 'admins': [ { 'id': 'ok'} ] } not_admin_client.update_group(update_group['id'], update_group, status=403) finally: if saved_group: ok_client.delete_group(saved_group['id'], status=(200,404))

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e1779fc9e19cd2bd2a301deb4e97b3565569c668

14,913

py

Python

module/schema_api.py

SamerW/Verifiable-Credentials-Policy

cd4aad055a9a8e2164dc24a72c69ff8881822d45

[ "Apache-2.0" ]

null

module/schema_api.py

SamerW/Verifiable-Credentials-Policy

cd4aad055a9a8e2164dc24a72c69ff8881822d45

[ "Apache-2.0" ]

null

module/schema_api.py

SamerW/Verifiable-Credentials-Policy

cd4aad055a9a8e2164dc24a72c69ff8881822d45

[ "Apache-2.0" ]

null

from flask import current_app as app, make_response from .models import db, \ Property, \ Issuer, \ VcType, \ Schema, \ VcProfile, \ association_table, \ SdStatement from sqlalchemy import or_ import json import urllib from flask_babel import _ from jsonschema import Draft7Validator, \ SchemaError def get_schema_by_url(url, extract_nested_properties): f = urllib.request.urlopen(url) content = f.read() json_schema = json.loads(content) if validate_json_schema(json_schema): schema_name = json_schema["$schema"] issuer_name = json_schema["issuer"] vc_type_name = json_schema["credential_type"] existing_schema = Schema.query.filter( Schema.name == schema_name ).first() if existing_schema: return _("Schema \"{schema_name}\" already exist").format(schema_name=schema_name) issuer = Issuer.query.filter( Issuer.name == issuer_name ).first() if not issuer: new_issuer = Issuer( name=issuer_name ) issuer = new_issuer db.session.add(new_issuer) vc_type = VcType.query.filter( VcType.name == vc_type_name ).first() if not vc_type: new_vc_type = VcType( name=vc_type_name ) db.session.add(new_vc_type) else: return _("Schema \"{type_name}\" already exist").format(type_name=vc_type_name) new_schema = Schema( name=schema_name, issuer=issuer, type=new_vc_type ) db.session.add(new_schema) properties = json_schema["properties"] for prop in properties: new_property = Property( name=properties[prop]["name"], schema=new_schema ) db.session.add(new_property) if extract_nested_properties: get_nested_properties(properties[prop], new_schema) db.session.commit() print(vc_type_name) return _("Schema \"{type_name}\" uploaded").format(type_name=vc_type_name) else: return _("Schema not valid") def get_nested_properties(json_data, new_schema): if "properties" in json_data: properties = json_data["properties"] for prop in properties: new_property = Property( name=properties[prop]["name"], schema=new_schema ) db.session.add(new_property) get_nested_properties(prop, new_schema) def list_all_properties(json_data,prop_list): if "properties" in json_data: properties = json_data["properties"] for prop in properties: prop_list.append(properties[prop]["name"]) list_all_properties(prop, prop_list) return prop_list def get_schema_by_json_data(json_schema, extract_nested_properties): if validate_json_schema(json_schema): schema_name = json_schema["$schema"] issuer_name = json_schema["issuer"] vc_type_name = json_schema["credential_type"] existing_schema = Schema.query.filter( Schema.name == schema_name ).first() if existing_schema: return _("Schema \"{schema_name}\" already exist").format(schema_name=schema_name) issuer = Issuer.query.filter( Issuer.name == issuer_name ).first() if not issuer: new_issuer = Issuer( name=issuer_name ) issuer = new_issuer db.session.add(new_issuer) vc_type = VcType.query.filter( VcType.name == vc_type_name ).first() if not vc_type: new_vc_type = VcType( name=vc_type_name ) db.session.add(new_vc_type) else: return _("Schema \"{type_name}\" already exist").format(type_name=vc_type_name) new_schema = Schema( name=schema_name, issuer=issuer, type=new_vc_type ) db.session.add(new_schema) properties = json_schema["properties"] for prop in properties: new_property = Property( name=properties[prop]["name"], schema=new_schema ) db.session.add(new_property) if extract_nested_properties: get_nested_properties(properties[prop], new_schema) db.session.commit() print(vc_type_name) return _("Schema \"{type_name}\" uploaded").format(type_name=vc_type_name) else: return _("Schema not valid") def replace_schema_by_json_data(json_schema, schema_id): if validate_json_schema(json_schema): issuer_name = json_schema["issuer"] vc_type_name = json_schema["credential_type"] existing_schema = Schema.query.filter( Schema.id == schema_id ).first() vc_type = VcType.query.filter( VcType.name == vc_type_name ).first() if not vc_type: return _("Can't replace schema: schema \"{type_name}\" doesn't exist").format(type_name=vc_type_name) new_properties = list_all_properties(json_schema, []) print("3", new_properties) old_properties = Property.query.filter( Property.schema_id == schema_id ).all() prop_to_remove = [] prop_to_add = [] for old_prop in old_properties: is_in_new = False for new_prop in new_properties: if old_prop.name == new_prop: is_in_new = True if not is_in_new: prop_to_remove.append(old_prop) for new_prop in new_properties: is_in_old = False for old_prop in old_properties: if new_prop == old_prop.name: is_in_old = True if not is_in_old: prop_to_add.append(new_prop) print("TO REMOVE", prop_to_remove) print("TO ADD", prop_to_add) if check_if_schema_is_used_with_properties(prop_to_remove): return _("Can't replace schema: Some properties you want to replace are used in profiles or statements") issuer = Issuer.query.filter( Issuer.name == issuer_name ).first() if existing_schema.issuer.name != issuer_name: print(existing_schema.issuer.name) old_issuer = Issuer.query.filter( Issuer.name == existing_schema.issuer.name ).first() existing_profile_with_issuer = VcProfile.query.filter( VcProfile.issuer_id == old_issuer.id ).first() if existing_profile_with_issuer: return _("Can't replace schema: The issuer in the old schema is used in some profiles") db.session.delete(old_issuer) if not issuer: new_issuer = Issuer( name=issuer_name ) db.session.add(new_issuer) existing_schema.issuer = new_issuer for prop in prop_to_remove: old_prop = Property.query.filter( Property.schema_id == schema_id, Property.name == prop.name ).first() db.session.delete(old_prop) for prop in prop_to_add: new_property = Property( name=prop, schema=existing_schema ) db.session.add(new_property) db.session.commit() print(vc_type_name) return _("Schema \"{type_name}\" replaced").format(type_name=vc_type_name) else: return _("Schema not valid") def delete_schema_by_schema_id(schema_id): existing_schema = Schema.query.filter( Schema.id == schema_id ).first() if existing_schema: print(existing_schema) print(existing_schema.issuer) print(existing_schema.issuer.id) db.session.delete(existing_schema.type) for prop in existing_schema.properties: db.session.delete(prop) issuer_id = existing_schema.issuer.id existing_other_schema_with_same_issuer = Schema.query.filter( Schema.issuer_id == issuer_id, Schema.name != existing_schema.name ).first() if not existing_other_schema_with_same_issuer: db.session.delete(existing_schema.issuer) db.session.delete(existing_schema) db.session.commit() return make_response(_("Schema with id {schema_id} deleted").format(schema_id=str(schema_id))) else: return make_response(_("Schema with id {schema_id} doesn't exist").format(schema_id=str(schema_id))) def replace_schema_by_json_url(url, schema_id): f = urllib.request.urlopen(url) content = f.read() json_schema = json.loads(content) if validate_json_schema(json_schema): issuer_name = json_schema["issuer"] vc_type_name = json_schema["credential_type"] existing_schema = Schema.query.filter( Schema.id == schema_id ).first() vc_type = VcType.query.filter( VcType.name == vc_type_name ).first() if not vc_type: return _("Can't replace schema: schema \"{type_name}\" doesn't exist").format(type_name=vc_type_name) new_properties = list_all_properties(json_schema, []) print("3", new_properties) old_properties = Property.query.filter( Property.schema_id == schema_id ).all() prop_to_remove = [] prop_to_add = [] for old_prop in old_properties: is_in_new = False for new_prop in new_properties: if old_prop.name == new_prop: is_in_new = True if not is_in_new: prop_to_remove.append(old_prop) for new_prop in new_properties: is_in_old = False for old_prop in old_properties: if new_prop == old_prop.name: is_in_old = True if not is_in_old: prop_to_add.append(new_prop) print("TO REMOVE", prop_to_remove) print("TO ADD", prop_to_add) if check_if_schema_is_used_with_properties(prop_to_remove): return _("Can't replace schema: Some properties you want to replace are used in profiles or statements") issuer = Issuer.query.filter( Issuer.name == issuer_name ).first() if existing_schema.issuer.name != issuer_name: print(existing_schema.issuer.name) old_issuer = Issuer.query.filter( Issuer.name == existing_schema.issuer.name ).first() existing_profile_with_issuer = VcProfile.query.filter( VcProfile.issuer_id == old_issuer.id ).first() if existing_profile_with_issuer: return _("Can't replace schema: The issuer in the old schema is used in some profiles") db.session.delete(old_issuer) if not issuer: new_issuer = Issuer( name=issuer_name ) db.session.add(new_issuer) existing_schema.issuer = new_issuer for prop in prop_to_remove: old_prop = Property.query.filter( Property.schema_id == schema_id, Property.name == prop.name ).first() db.session.delete(old_prop) for prop in prop_to_add: new_property = Property( name=prop, schema=existing_schema ) db.session.add(new_property) db.session.commit() print(vc_type_name) return _("Schema \"{type_name}\" replaced").format(type_name=vc_type_name) else: return _("Schema not valid") def validate_json_schema(schema): try: Draft7Validator.check_schema(schema) except SchemaError as schemaError: print(schemaError) return False return True def read_schema_by_id(schema_id): schema = Schema.query.filter( Schema.id == schema_id ).first() return schema def check_if_schema_is_used(schema_id): existing_schema = Schema.query.filter( Schema.id == schema_id ).first() type_id = existing_schema.type_id issuer_id = existing_schema.issuer_id existing_profiles = VcProfile.query.filter(or_( VcProfile.type_id == type_id, VcProfile.issuer_id == issuer_id )).all() properties = Property.query.filter( Property.schema_id == schema_id ).all() for prop in properties: prop_in_statement = Property.query.join(association_table).join(SdStatement).filter( association_table.c.property_id == prop.id ).all() if len(prop_in_statement) > 0: return True if len(existing_profiles) > 0: return True return False def check_if_schema_is_used_with_properties(properties): for prop in properties: prop_in_statement = Property.query.join(association_table).join(SdStatement).filter( association_table.c.property_id == prop.id ).all() if len(prop_in_statement) > 0: return True return False def search_schema_by_arg(search_str): schemas = [] existing_schemas = Schema.query.all() for schema in existing_schemas: if schema not in schemas and search_str.lower() in (schema.name.lower() or schema.issuer.name.lower() or schema.type.name.lower()): schemas.append(schema) else: for prop in schema.properties: if schema not in schemas and search_str.lower() in prop.name.lower(): schemas.append(schema) return schemas test_schema = """{ "$schema": "http://example.com/example3CreditCard", "issuer": "https://bigbigbank.com/issuer/UK", "credential_type": "ExampleCreditCard3", "type": "object", "properties": { "creditCardNumber": { "name": "credentialSubject.ex3credcard.number", "type": "string", "pattern": "^[0-9]{4}-[0-9]{4}-[0-9]{4}-[0-9]{4}$", "example": "1111-2222-3333-4444" }, "owner": { "name": "credentialSubject.ex3credcard.owner", "type": "string", "maxLength": 64 }, "expiringDate": { "name": "credentialSubject.ex3credcard.expiringDate", "format": "date" } }, "required": [ "creditCardNumber", "owner", "expiringDate" ] }""" @app.route('/get_test_schema', methods=['GET']) def get_test_schema(): return test_schema

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7

e19aacbc52e087f2954f7cb81fb873f22d091a66

1,534

py

Python

engine/inventory.py

Jawmo/Hope_Pub

1d142a712c064c2fb9dc63b38d8c8e65fb089386

[ "MIT" ]

null

engine/inventory.py

Jawmo/Hope_Pub

1d142a712c064c2fb9dc63b38d8c8e65fb089386

[ "MIT" ]

null

engine/inventory.py

Jawmo/Hope_Pub

1d142a712c064c2fb9dc63b38d8c8e65fb089386

[ "MIT" ]

null

inv = { "suit": { "name" : "body", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, "head": { "name" : "head", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, "chest": { "name" : "chest", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, "back": { "name" : "back", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, "wrists": { "name" : "wrist", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, "l_hand": { "name" : "left hand", "worn" : "in", "wearing" : None, "wear_max" : 1, "contents" : None}, "r_hand": { "name" : "right hand", "worn" : "in", "wearing" : None, "wear_max" : 1, "contents" : None}, "belt": { "name" : "belt", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, "feet": { "name" : "feet", "worn" : "on", "wearing" : None, "wear_max" : 1, "contents" : None}, }

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1

0

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8

e1ccd30533e45c1701f4a05103065fefb767d7f2

1,216

py

Python

stubs/micropython-v1_13-95-pyboard/uio.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

stubs/micropython-v1_13-95-pyboard/uio.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

stubs/micropython-v1_13-95-pyboard/uio.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

""" Module: 'uio' on pyboard 1.13.0-95 """ # MCU: (sysname='pyboard', nodename='pyboard', release='1.13.0', version='v1.13-95-g0fff2e03f on 2020-10-03', machine='PYBv1.1 with STM32F405RG') # Stubber: 1.3.4 - updated from typing import Any class BytesIO: """""" def close(self, *args) -> Any: pass def flush(self, *args) -> Any: pass def getvalue(self, *args) -> Any: pass def read(self, *args) -> Any: pass def readinto(self, *args) -> Any: pass def readline(self, *args) -> Any: pass def seek(self, *args) -> Any: pass def tell(self, *args) -> Any: pass def write(self, *args) -> Any: pass class FileIO: """""" def close(self, *args) -> Any: pass def flush(self, *args) -> Any: pass def read(self, *args) -> Any: pass def readinto(self, *args) -> Any: pass def readline(self, *args) -> Any: pass def readlines(self, *args) -> Any: pass def seek(self, *args) -> Any: pass def tell(self, *args) -> Any: pass def write(self, *args) -> Any: pass class IOBase: """"""

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0.045122

0.325658

1,216

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146

16.888889

0.717073

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0.85

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0.45

false

0.45

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0

null

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0

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1

0

null

0

1

0

1

0

1

0

8

833bbbb7fde91cfedb9e972ca68e95c46624659c

17,565

py

Python

neonsrv/tornadoapi.py

DDMAL/Neon.js

bf4fb62f574773422e4275aebdca95056ffed160

[ "MIT" ]

18

2015-03-09T23:09:38.000Z

2019-04-10T16:21:02.000Z

neonsrv/tornadoapi.py

DDMAL/Neon.js-Legacy-

bf4fb62f574773422e4275aebdca95056ffed160

[ "MIT" ]

199

2015-01-07T20:23:15.000Z

2018-05-11T21:38:19.000Z

neonsrv/tornadoapi.py

DDMAL/Neon.js

bf4fb62f574773422e4275aebdca95056ffed160

[ "MIT" ]

3

2015-07-23T13:32:52.000Z

2017-09-04T05:06:53.000Z

import os from modifymei import ModifyDocument import tornado.web import json import conf ##################################################### # NEUME HANDLER CLASSES # ##################################################### class InsertNeumeHandler(tornado.web.RequestHandler): def post(self, file): name = str(self.get_argument("name", "")) inclinatum = self.get_argument("inclinatum", None) deminutus = self.get_argument("deminutus", None) before_id = self.get_argument("beforeid", None) pname = str(self.get_argument("pname", "")) oct = str(self.get_argument("oct", "")) dot_form = self.get_argument("dotform", None) episema_form = self.get_argument("episemaform", None) id = self.get_argument("id", None) # Bounding box lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.insert_punctum(name, inclinatum, deminutus, before_id, pname, oct, dot_form, episema_form, ulx, uly, lrx, lry) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class ChangeNeumePitchHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) id = str(data["id"]) before_id = str(data["beforeid"]) # Bounding box ulx = str(data["ulx"]) uly = str(data["uly"]) lrx = str(data["lrx"]) lry = str(data["lry"]) pitch_info = data["pitchInfo"] mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.move_neume(id, before_id, pitch_info, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class DeleteNeumeHandler(tornado.web.RequestHandler): def post(self, file): ids = str(self.get_argument("ids", "")) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_neume(ids.split(",")) md.write_doc() self.set_status(200) class UpdateNeumeHeadShapeHandler(tornado.web.RequestHandler): def post(self, file): id = str(self.get_argument("id", "")) head_shape = str(self.get_argument("shape", "")) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.update_neume_head_shape(id, head_shape, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class NeumifyNeumeHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) nids = str(data["nids"]).split(",") type_id = str(data["typeid"]) liquescence = str(data.get("liquescence", None)) head_shapes = data["headShapes"] try: lrx = str(data["lrx"]) lry = str(data["lry"]) ulx = str(data["ulx"]) uly = str(data["uly"]) except KeyError: ulx = uly = lrx = lry = None mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.neumify(nids, type_id, liquescence, head_shapes, ulx, uly, lrx, lry) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class UngroupNeumeHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) nids = str(data["nids"]).split(",") bboxes = data["bbs"] mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.ungroup(nids, bboxes) md.write_doc() self.write(json.dumps(result)) self.set_status(200) ##################################################### # DIVISION HANDLER CLASSES # ##################################################### class InsertDivisionHandler(tornado.web.RequestHandler): def post(self, file): div_type = str(self.get_argument("type", "")) before_id = self.get_argument("beforeid", None) # bounding box lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.insert_division(before_id, div_type, ulx, uly, lrx, lry) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class MoveDivisionHandler(tornado.web.RequestHandler): def post(self, file): id = str(self.get_argument("id", "")) before_id = str(self.get_argument("beforeid", None)) # bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.move_division(id, before_id, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class UpdateDivisionShapeHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) div_type = str(data["type"]) id = str(data["id"]) # bounding box lrx = str(data["lrx"]) lry = str(data["lry"]) ulx = str(data["ulx"]) uly = str(data["uly"]) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.update_division_shape(id, div_type, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class DeleteDivisionHandler(tornado.web.RequestHandler): def post(self, file): ids = str(self.get_argument("ids", "")) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_division(ids.split(",")) md.write_doc() self.set_status(200) class AddEpisemaHandler(tornado.web.RequestHandler): def post(self, file): id = str(self.get_argument("id", "")) episema_form = str(self.get_argument("episemaform", "")) # Bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.add_episema(id, episema_form, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class DeleteEpisemaHandler(tornado.web.RequestHandler): def post(self, file): id = str(self.get_argument("id", "")) # Bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_episema(id, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class AddDotHandler(tornado.web.RequestHandler): def post(self, file): id = str(self.get_argument("id", "")) dot_form = str(self.get_argument("dotform", "")) # Bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.add_dot(id, dot_form, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class DeleteDotHandler(tornado.web.RequestHandler): def post(self, file): id = str(self.get_argument("id", "")) # Bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_dot(id, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) ##################################################### # CLEF HANDLER CLASSES # ##################################################### class MoveClefHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) clef_id = str(data["id"]) # bounding box ulx = str(data["ulx"]) uly = str(data["uly"]) lrx = str(data["lrx"]) lry = str(data["lry"]) line = str(data["line"]) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.move_clef(clef_id, line, data["pitchInfo"], ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class UpdateClefShapeHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) clef_id = str(data["id"]) # bounding box ulx = str(data["ulx"]) uly = str(data["uly"]) lrx = str(data["lrx"]) lry = str(data["lry"]) shape = str(data["shape"]) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.update_clef_shape(clef_id, shape, data["pitchInfo"], ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class InsertClefHandler(tornado.web.RequestHandler): def post(self, file): data = json.loads(self.get_argument("data", "")) shape = str(data["shape"]) line = str(data["line"]) before_id = str(data["beforeid"]) pitchInfo = data["pitchInfo"] # bounding box try: lrx = str(data["lrx"]) lry = str(data["lry"]) ulx = str(data["ulx"]) uly = str(data["uly"]) except KeyError: ulx = uly = lrx = lry = None mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.insert_clef(line, shape, pitchInfo, before_id, ulx, uly, lrx, lry) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class DeleteClefHandler(tornado.web.RequestHandler): def post(self, file): clefs_to_delete = json.loads(self.get_argument("data", "")) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_clef(clefs_to_delete) md.write_doc() self.set_status(200) ##################################################### # CUSTOS HANDLER CLASSES # ##################################################### class InsertCustosHandler(tornado.web.RequestHandler): def post(self, file): pname = str(self.get_argument("pname", "")) oct = str(self.get_argument("oct", "")) before_id = self.get_argument("beforeid", None) # bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.insert_custos(pname, oct, before_id, ulx, uly, lrx, lry) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class MoveCustosHandler(tornado.web.RequestHandler): def post(self, file): custos_id = str(self.get_argument("id", "")) pname = self.get_argument("pname", "") oct = self.get_argument("oct", "") # bounding box ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.move_custos(custos_id, pname, oct, ulx, uly, lrx, lry) md.write_doc() self.set_status(200) class DeleteCustosHandler(tornado.web.RequestHandler): def post(self, file): custos_ids = str(self.get_argument("ids", "")).split(",") mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_custos(custos_ids) md.write_doc() self.set_status(200) ##################################################### # STAFF/SYSTEM HANDLER CLASSES # ##################################################### class InsertSystemHandler(tornado.web.RequestHandler): def post(self, file): page_id = str(self.get_argument("pageid", None)) ulx = str(self.get_argument("ulx", None)) uly = str(self.get_argument("uly", None)) lrx = str(self.get_argument("lrx", None)) lry = str(self.get_argument("lry", None)) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.insert_system(page_id, ulx, uly, lrx, lry) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class InsertSystemBreakHandler(tornado.web.RequestHandler): def post(self, file): system_id = self.get_argument("systemid", None) order_number = self.get_argument("ordernumber", None) next_sb_id = self.get_argument("nextsbid", None) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.insert_system_break(system_id, order_number, next_sb_id) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class ModifySystemBreakHandler(tornado.web.RequestHandler): def post(self, file): sb_id = str(self.get_argument("sbid")) order_number = str(self.get_argument("ordernumber")) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) result = md.modify_system_break(sb_id, order_number) md.write_doc() self.write(json.dumps(result)) self.set_status(200) class DeleteSystemBreakHandler(tornado.web.RequestHandler): def post(self, file): sb_ids = str(self.get_argument("sbids", "")).split(",") mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_system(sb_ids) md.write_doc() self.set_status(200) class DeleteSystemHandler(tornado.web.RequestHandler): def post(self, file): system_ids = str(self.get_argument("sids", "")).split(",") mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.delete_system(system_ids) md.write_doc() self.set_status(200) class UpdateSystemZoneHandler(tornado.web.RequestHandler): def post(self, file): system_id = str(self.get_argument("sid")) ulx = str(self.get_argument("ulx")) uly = str(self.get_argument("uly")) lrx = str(self.get_argument("lrx")) lry = str(self.get_argument("lry")) mei_directory = os.path.abspath(conf.MEI_DIRECTORY) fname = os.path.join(mei_directory, file) md = ModifyDocument(fname) md.update_system_zone(system_id, ulx, uly, lrx, lry) md.write_doc() self.set_status(200)

32.467652

130

0.590379

2,128

17,565

4.719925

0.06344

0.066209

0.141876

0.132616

0.808841

0.787137

0.768021

0.742533

0.718041

0.698029

0

0.006121

0.24657

17,565

540

131

32.527778

0.752834

0.023399

0

0.745989

0

0.035236

0

1

0.072193

false

0

0.013369

0

0.157754

0

null

0

1

0

1

0

null

0

7

55dcc189bc1d3bdc2bc2ea9089b4356f88d8c5ce

9,241

py

Python

base/site-packages/tencentyun/auth.py

edisonlz/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

285

2019-12-23T09:50:21.000Z

2021-12-08T09:08:49.000Z

base/site-packages/tencentyun/auth.py

jeckun/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

null

base/site-packages/tencentyun/auth.py

jeckun/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

9

2019-12-23T12:59:25.000Z

2022-03-15T05:12:11.000Z

# -*- coding: utf-8 -*- import time import random import hmac, hashlib import binascii import base64 from urlparse import urlparse from tencentyun import conf class Auth(object): def __init__(self, secret_id, secret_key): self.AUTH_URL_FORMAT_ERROR = -1 self.AUTH_SECRET_ID_KEY_ERROR = -2 self._secret_id,self._secret_key = secret_id,secret_key def get_app_sign_v2(self, bucket, fileid, expired=0, userid='0'): """ GET V2 SIGN USE FILEID copy and del operation must have fileid and set expired=0 Args: bucket: user bucket fileid: user defined fileid, not urlencoded expired: expire time userid: user id, pls ignore or set to '0' """ if isinstance(fileid, unicode): fileid = fileid.encode("utf-8") if not self._secret_id or not self._secret_key: return self.AUTH_SECRET_ID_KEY_ERROR app_info = conf.get_app_info() appid = app_info['appid'] puserid = '' if userid != '': if len(userid) > 64: return self.AUTH_URL_FORMAT_ERROR puserid = userid now = int(time.time()) rdm = random.randint(0, 999999999) plain_text = 'a=' + appid + '&b=' + bucket +'&k=' + self._secret_id + '&e=' + str(expired) + '&t=' + str(now) + '&r=' + str(rdm) + '&u=' + puserid + '&f=' + fileid bin = hmac.new(self._secret_key, plain_text, hashlib.sha1) s = bin.hexdigest() s = binascii.unhexlify(s) s = s + plain_text signature = base64.b64encode(s).rstrip() #生成签名 return signature def get_info_from_url(self, url): app_info = conf.get_app_info() end_point = app_info['end_point'] info = urlparse(url) end_point_info = urlparse(end_point) if (info.hostname == urlparse(conf.API_IMAGE_END_POINT).hostname or info.hostname == urlparse(conf.API_VIDEO_END_POINT).hostname) : # 非下载url if info.path : parts = info.path.split('/') if len(parts) == 5: cate = parts[1] ver = parts[2] appid = parts[3] userid = parts[4] return {'cate':cate, 'ver':ver, 'appid':appid, 'userid':userid} elif len(parts) == 6: cate = parts[1] ver = parts[2] appid = parts[3] userid = parts[4] fileid = parts[5] return {'cate':cate, 'ver':ver, 'appid':appid, 'userid':userid, 'fileid':fileid} elif len(parts) == 7: cate = parts[1] ver = parts[2] appid = parts[3] userid = parts[4] fileid = parts[5] oper = parts[6] return {'cate':cate, 'ver':ver, 'appid':appid, 'userid':userid, 'fileid':fileid, 'oper':oper} else: return {} else: return {} else : if info.path : parts = info.path.split('/') if len(parts) == 5: appid = parts[1] userid = parts[2] fileid = parts[3] style = parts[4] return {'appid':appid, 'userid':userid, 'fileid':fileid, 'style':style} else: return {} else: return {} def get_info_from_url_v2(self, url): app_info = conf.get_app_info() end_point = app_info['end_point_v2'] info = urlparse(url) end_point_info = urlparse(end_point) if (info.hostname == urlparse(conf.API_IMAGE_END_POINT_V2).hostname) : # 非下载url if info.path : parts = info.path.split('/') if len(parts) == 6: cate = parts[1] ver = parts[2] appid = parts[3] bucket = parts[4] userid = parts[5] return {'cate':cate, 'ver':ver, 'appid':appid, 'bucket':bucket, 'userid':userid} elif len(parts) == 7: cate = parts[1] ver = parts[2] appid = parts[3] bucket = parts[4] userid = parts[5] fileid = parts[6] return {'cate':cate, 'ver':ver, 'appid':appid, 'bucket':bucket, 'userid':userid, 'fileid':fileid} elif len(parts) == 8: cate = parts[1] ver = parts[2] appid = parts[3] bucket = parts[4] userid = parts[5] fileid = parts[6] oper = parts[7] return {'cate':cate, 'ver':ver, 'appid':appid, 'bucket':bucket, 'userid':userid, 'fileid':fileid, 'oper':oper} else: return {} else: return {} else : if info.path : parts = info.path.split('/') if len(parts) == 5: arr = parts[1].split('-') if len(arr) != 2: return {} bucket = arr[0] appid = arr[1] userid = parts[2] fileid = parts[3] style = parts[4] return {'appid':appid, 'bucket':bucket, 'userid':userid, 'fileid':fileid, 'style':style} else: return {} else: return {} def app_sign_v2(self, url, expired=0): if not self._secret_id or not self._secret_key: return self.AUTH_SECRET_ID_KEY_ERROR url_info = self.get_info_from_url_v2(url) if len(url_info) == 0: return self.AUTH_URL_FORMAT_ERROR if 'cate' in url_info: cate = url_info['cate'] else: cate = '' if 'ver' in url_info: ver = url_info['ver'] else: ver = '' appid = url_info['appid'] bucket = url_info['bucket'] userid = url_info['userid'] if 'oper' in url_info: oper = url_info['oper'] else: oper = '' if 'fileid' in url_info: fileid = url_info['fileid'] else: fileid = '' if 'style' in url_info: style = url_info['style'] else: style = '' once_opers = ['del', 'copy'] if oper in once_opers: expired = 0 if not oper and not style and fileid: fileid = '' puserid = '' if userid != '': if len(userid) > 64: return self.AUTH_URL_FORMAT_ERROR puserid = userid now = int(time.time()) rdm = random.randint(0, 999999999) plain_text = 'a=' + appid + '&k=' + self._secret_id + '&e=' + str(expired) + '&t=' + str(now) + '&r=' + str(rdm) + '&u=' + puserid + '&f=' + fileid bin = hmac.new(self._secret_key, plain_text, hashlib.sha1) s = bin.hexdigest() s = binascii.unhexlify(s) s = s + plain_text.encode('ascii') signature = base64.b64encode(s).rstrip() #生成签名 return signature def app_sign(self, url, expired=0): if not self._secret_id or not self._secret_key: return self.AUTH_SECRET_ID_KEY_ERROR url_info = self.get_info_from_url(url) if len(url_info) == 0: return self.AUTH_URL_FORMAT_ERROR if 'cate' in url_info: cate = url_info['cate'] else: cate = '' if 'ver' in url_info: ver = url_info['ver'] else: ver = '' appid = url_info['appid'] userid = url_info['userid'] if 'oper' in url_info: oper = url_info['oper'] else: oper = '' if 'fileid' in url_info: fileid = url_info['fileid'] else: fileid = '' if 'style' in url_info: style = url_info['style'] else: style = '' once_opers = ['del', 'copy'] if oper in once_opers: expired = 0 puserid = '' if userid != '': if len(userid) > 64: return self.AUTH_URL_FORMAT_ERROR puserid = userid now = int(time.time()) rdm = random.randint(0, 999999999) plain_text = 'a=' + appid + '&k=' + self._secret_id + '&e=' + str(expired) + '&t=' + str(now) + '&r=' + str(rdm) + '&u=' + puserid + '&f=' + fileid bin = hmac.new(self._secret_key, plain_text, hashlib.sha1) s = bin.hexdigest() s = binascii.unhexlify(s) s = s + plain_text.encode('ascii') signature = base64.b64encode(s).rstrip() #生成签名 return signature

34.099631

171

0.466941

1,014

9,241

4.092702

0.115385

0.048916

0.021687

0.024578

0.839759

0.819277

0.808434

0.805542

0.802651

0.77759

0

0.023299

0.414782

9,241

270

172

34.225926

0.744083

0.0303

0

0.786667

0

0.050388

0

1

0.026667

false

0

0.031111

0

0.186667

0

null

0

1

0

1

0

null

0

7

3621732b35476f2db7e7602186e7335262749aa0

1,727

py

Python

torchsparse/base_utils.py

f-sky/torchsparse

65466a10c6fa54bff17c6429706b7019a2a59409

[ "MIT" ]

null

torchsparse/base_utils.py

f-sky/torchsparse

65466a10c6fa54bff17c6429706b7019a2a59409

[ "MIT" ]

null

torchsparse/base_utils.py

f-sky/torchsparse

65466a10c6fa54bff17c6429706b7019a2a59409

[ "MIT" ]

null

import numpy as np import torch def to_device(x, device, non_blocking=True): if x is None: return x elif isinstance(x, list): return [to_device(a, device) for a in x] elif isinstance(x, dict): return {k: to_device(v, device) for k, v in x.items()} elif isinstance(x, torch.Tensor): return x.to(device=device, non_blocking=non_blocking) elif isinstance(x, (int, float, str)): return x else: raise TypeError() def to_cuda(x): if x is None: return x elif isinstance(x, list): return [to_cuda(a) for a in x] elif isinstance(x, dict): return {k: to_cuda(v) for k, v in x.items()} elif isinstance(x, torch.Tensor): return x.cuda() elif isinstance(x, (int, float, str)): return x else: raise TypeError() def to_cpu(x): if x is None: return x elif isinstance(x, list): return [to_cpu(a) for a in x] elif isinstance(x, dict): return {k: to_cpu(v) for k, v in x.items()} elif isinstance(x, torch.Tensor): return x.cpu() elif isinstance(x, (int, float, str)): return x else: raise TypeError() def clone(x): if x is None: return x elif isinstance(x, torch.Tensor): return x.clone() elif isinstance(x, np.ndarray): return x.copy() elif isinstance(x, list): return [clone(el) for el in x] elif isinstance(x, tuple): return (clone(el) for el in x) elif isinstance(x, dict): return {k: clone(v) for k, v in x.items()} elif isinstance(x, (int, float, str)): return x else: raise RuntimeError(f'{type(x)} cannot be cloned.')

25.776119

62

0.579039

264

1,727

3.742424

0.174242

0.255061

0.273279

0.145749

0.761134

0.741903

0.723684

0.712551

0

0.3011

1,727

66

63

26.166667

0.818558

0

0.603448

0

0.015634

0

1

0.068966

false

0

0.034483

0

0.482759

0

null

1

0

1

0

null

0

7

3629de26e34dc71e6f24912fdb82da75cd2245fd

5,103

py

Python

src/genie/libs/parser/iosxe/tests/ShowIsisTopology/cli/equal/golden_output1_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowIsisTopology/cli/equal/golden_output1_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowIsisTopology/cli/equal/golden_output1_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "tag": { "1": { "level": { 1: { "hosts": { "R1-asr1k-43": {}, "R2-asr1k-33": { "metric": 10, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } }, "R3-asr1k-53": { "metric": 20, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } }, "R5-asr1k-11": { "metric": 16777234, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } }, "R6-asr1k-20": { "metric": 20, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } } } }, 2: { "hosts": { "R1-asr1k-43": {}, "R2-asr1k-33": { "metric": 10, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } }, "R3-asr1k-53": { "metric": 20, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } }, "R5-asr1k-11": { "metric": 16777234, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } }, "R6-asr1k-20": { "metric": 20, "interface": { "Gi0/0/2": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e020" }, "Gi0/0/3": { "next_hop": "R2-asr1k-33", "snpa": "c47d.4f12.e021" } } } } } } } } }

41.827869

62

0.17284

255

5,103

3.392157

0.12549

0.145665

0.187283

0.25896

0.971098

0

0.21794

0.720361

5,103

122

63

41.827869

0.388227

0

0.622951

0

0.186716

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

11

36522dd28173a511ecfd7b5ee954f06fa6f7990f

2,550

py

Python

ignition/script-python/v1/tests/auth-simple/__logic__/code.py

pwalker91/IgnitionSwagger

7bbc0a1a692a57a483c82d94570ad10f365d6f4e

[ "MIT" ]

null

ignition/script-python/v1/tests/auth-simple/__logic__/code.py

pwalker91/IgnitionSwagger

7bbc0a1a692a57a483c82d94570ad10f365d6f4e

[ "MIT" ]

null

ignition/script-python/v1/tests/auth-simple/__logic__/code.py

pwalker91/IgnitionSwagger

7bbc0a1a692a57a483c82d94570ad10f365d6f4e

[ "MIT" ]

null

import apiAuth from __swagger2__ import requests as swagRq from __swagger2__ import responses as swagRsp from v1 import statics as swagStc PREFIX = swagStc.IGNITION_SWAGGER_CUSTOM_PREFIX class GET(swagRq.HttpMethod): SWAGGER = { # CUSTOM KEYS FOR IA PURPOSES PREFIX+'auth': [ { 'method': apiAuth.simple.allowWithApiKeyHeader, 'extraArgs': { 'headerName': 'IS-API-KEY', 'keyValue': 'abcd1234', }, }, ], PREFIX+'hide': False, PREFIX+'validateRequest': False, PREFIX+'validateResponse': False, PREFIX+'tagGroup': 'Tests', # ACTUAL SWAGGER DEFINITION 'operationId': 'tests_validation_auth-simple_get', 'summary': 'GET Test Simple Auth', 'description': '''Provides the ability to test a simple endpoint with "authentication" required. Provide the value `abcd1234` in the Header `IS-API-KEY`. ''', 'security': [ {'api_key': []}, ], 'tags': [ 'Testing' ], 'consumes': [ 'application/x-www-form-urlencoded', ], 'produces': [ 'application/json', ], 'parameters': [ {'$ref': '#/parameters/objs_api_key_header'}, ], 'responses': { '200': swagStc.GENERIC_SUCCESS_RESPONSE, 'default': swagStc.GENERIC_FAILURE_RESPONSE, } } @staticmethod def __do__(wdr, LOGGER): return swagRsp.json(success=True, status='SUCCESS', data={'auth': wdr.swag['auth']}) #END DEF #END CLASS class POST(swagRq.HttpMethod): SWAGGER = { # CUSTOM KEYS FOR IA PURPOSES PREFIX+'auth': [ { 'method': apiAuth.simple.allowWithApiKeyHeader, 'extraArgs': { 'headerName': 'IS-API-KEY', 'keyValue': 'qwerty123456', }, }, ], PREFIX+'hide': False, PREFIX+'validateRequest': False, PREFIX+'validateResponse': False, PREFIX+'tagGroup': 'Tests', # ACTUAL SWAGGER DEFINITION 'operationId': 'tests_validation_auth-simple_post', 'summary': 'POST Test Simple Auth', 'description': '''Provides the ability to test a simple endpoint with "authentication" required. Provide the value `qwerty123456` in the Header `IS-API-KEY`. ''', 'security': [ {'api_key': []}, ], 'tags': [ 'Testing' ], 'consumes': [ 'application/json', ], 'produces': [ 'application/json', ], 'parameters': [ {'$ref': '#/parameters/objs_api_key_header'}, ], 'responses': { '200': swagStc.GENERIC_SUCCESS_RESPONSE, 'default': swagStc.GENERIC_FAILURE_RESPONSE, } } @staticmethod def __do__(wdr, LOGGER): return swagRsp.json(success=True, status='SUCCESS', data={'auth': wdr.swag['auth']}) #END DEF #END CLASS

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365e630ef1467714fc706b5d2b4ce12bff78be9f

4,901

py

Python

NippoKun/report/tests/test_report.py

KIKUYA-Takumi/Nippokun

aa82f97aaf5b61d94b213425f28314a248914eb9

[ "MIT" ]

null

NippoKun/report/tests/test_report.py

KIKUYA-Takumi/Nippokun

aa82f97aaf5b61d94b213425f28314a248914eb9

[ "MIT" ]

4

2016-10-19T00:23:21.000Z

2016-11-04T01:29:08.000Z

NippoKun/report/tests/test_report.py

KIKUYA-Takumi/NippoKun

aa82f97aaf5b61d94b213425f28314a248914eb9

[ "MIT" ]

null

from django.contrib.auth.models import User from django.test import TestCase, Client, RequestFactory from ..models import Report # Create your tests here. class CreateReportTest(TestCase): def setUp(self): self.client = Client() self.client.post('/report/user_register/', {'username': 'john', 'password1': 'johnpass', 'password2': 'johnpass'}) self.client.post('/report/login/', {'username': 'john', 'password': 'johnpass'}) """ status_code = 302: created new report. status_code = 200: not create new report. """ def test_create_report(self): response = self.client.post('/report/report_entries/', {'report_title': 'test title', 'report_content': 'test'}) self.assertEqual(response.status_code, 302) def test_create_report_no_report_title(self): response = self.client.post('/report/report_entries/', {'report_title': '', 'report_content': 'test'}) self.assertEqual(response.status_code, 302) def test_create_report_no_report_content(self): response = self.client.post('/report/report_entries/', {'report_title': 'test title', 'report_content': ''}) self.assertEqual(response.status_code, 302) def test_create_report_no_report_info(self): response = self.client.post('/report/report_entries/', {'report_title': '', 'report_content': ''}) self.assertEqual(response.status_code, 302) class DeleteReportTest(TestCase): def setUp(self): self.client = Client() self.client.post('/report/user_register/', {'username': 'john', 'password1': 'johnpass', 'password2': 'johnpass'}) self.client.post('/report/login/', {'username': 'john', 'password': 'johnpass'}) """ status_code = 404: deleted report. status_code = otherwise: not delete report. """ def test_delete_report(self): report = self.client.post('/report/report_entries/', {'report_title': 'test title', 'report_content': 'test'}) before_count = Report.objects.count() self.client.delete(report) after_count = Report.objects.count() self.assertEqual(before_count, after_count + 1) class UpdateReportContentTest(TestCase): def setUp(self): self.client = Client() self.client.post('/report/user_register/', {'username': 'john', 'password1': 'johnpass', 'password2': 'johnpass'}) self.client.login(username='john', password='johnpass') request_factory = RequestFactory() self.request = request_factory.get('/report/mypage/') def test_update_report_content(self): self.request.user = User.objects.get(pk=1) self.client.post('/report/report_entries/', {'report_author': self.request.user, 'report_title': 'test title', 'report_content': 'test' }) self.request.report = Report.objects.get(pk=1) report = { 'report_author': self.request.report.report_author, 'report_title': self.request.report.report_title, 'report_content': 'update content' } self.client.post('/report/1/edition/', report) self.request.report = Report.objects.get(pk=1) self.assertEqual(self.request.report.report_content, 'update content') class UpdateReportTitleTest(TestCase): def setUp(self): self.client = Client() self.client.post('/report/user_register/', {'username': 'john', 'password1': 'johnpass', 'password2': 'johnpass'}) self.client.login(username='john', password='johnpass') request_factory = RequestFactory() self.request = request_factory.get('/report/mypage/') def test_update_report_title(self): self.request.user = User.objects.get(pk=1) self.client.post('/report/report_entries/', {'report_author': self.request.user, 'report_title': 'test title', 'report_content': 'test' }) self.request.report = Report.objects.get(pk=1) report = { 'report_author': self.request.report.report_author, 'report_title': 'update title', 'report_content': self.request.report.report_content } self.client.post('/report/1/edition/', report) self.request.report = Report.objects.get(pk=1) self.assertEqual(self.request.report.report_title, 'update title')

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null

0

1

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7

368b487af9eeb0c062b0db605ecc01733a5ab12a

36,336

py

Python

poem/core/input_generator_test.py

ParikhKadam/google-research

00a282388e389e09ce29109eb050491c96cfab85

[ "Apache-2.0" ]

2

2022-01-21T18:15:34.000Z

2022-01-25T15:21:34.000Z

poem/core/input_generator_test.py

ParikhKadam/google-research

00a282388e389e09ce29109eb050491c96cfab85

[ "Apache-2.0" ]

110

2021-10-01T18:22:38.000Z

2021-12-27T22:08:31.000Z

poem/core/input_generator_test.py

admariner/google-research

7cee4b22b925581d912e8d993625c180da2a5a4f

[ "Apache-2.0" ]

1

2021-12-01T23:20:45.000Z

# coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for input generator functions.""" import math import numpy as np import tensorflow as tf from poem.core import common from poem.core import input_generator from poem.core import keypoint_profiles class InputGeneratorTest(tf.test.TestCase): def test_preprocess_keypoints_3d(self): profile = keypoint_profiles.KeypointProfile3D( name='Dummy', keypoint_names=[('A', keypoint_profiles.LeftRightType.UNKNOWN), ('B', keypoint_profiles.LeftRightType.UNKNOWN), ('C', keypoint_profiles.LeftRightType.UNKNOWN)], offset_keypoint_names=['A'], scale_keypoint_name_pairs=[(['A'], ['B'])], segment_name_pairs=[]) keypoints_3d = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]] preprocessed_keypoints_3d, side_outputs = ( input_generator.preprocess_keypoints_3d(keypoints_3d, profile)) sqrt_3 = 1.73205080757 self.assertAllClose( preprocessed_keypoints_3d, [[0.0, 0.0, 0.0], [1.0 / sqrt_3, 1.0 / sqrt_3, 1.0 / sqrt_3], [2.0 / sqrt_3, 2.0 / sqrt_3, 2.0 / sqrt_3]]) self.assertCountEqual( side_outputs, ['offset_points_3d', 'scale_distances_3d', 'preprocessed_keypoints_3d']) self.assertAllClose(side_outputs['offset_points_3d'], [[1.0, 2.0, 3.0]]) self.assertAllClose(side_outputs['scale_distances_3d'], [[3.0 * sqrt_3]]) self.assertAllClose( side_outputs['preprocessed_keypoints_3d'], [[0.0, 0.0, 0.0], [1.0 / sqrt_3, 1.0 / sqrt_3, 1.0 / sqrt_3], [2.0 / sqrt_3, 2.0 / sqrt_3, 2.0 / sqrt_3]]) def test_preprocess_keypoints_2d_with_projection(self): # Shape = [4, 2, 17, 3]. keypoints_3d = tf.constant([ [[[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[11.0, 12.0, 13.0], [13.0, 14.0, 15.0], [15.0, 16.0, 17.0], [17.0, 18.0, 19.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], [[[31.0, 32.0, 33.0], [33.0, 34.0, 35.0], [35.0, 36.0, 37.0], [37.0, 38.0, 39.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[41.0, 42.0, 43.0], [43.0, 44.0, 35.0], [45.0, 46.0, 47.0], [47.0, 48.0, 49.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], [[[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[11.0, 12.0, 13.0], [13.0, 14.0, 15.0], [15.0, 16.0, 17.0], [17.0, 18.0, 19.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], [[[31.0, 32.0, 33.0], [33.0, 34.0, 35.0], [35.0, 36.0, 37.0], [37.0, 38.0, 39.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], ]) keypoint_profile_3d = ( keypoint_profiles.create_keypoint_profile_or_die('LEGACY_3DH36M17')) keypoint_profile_2d = ( keypoint_profiles.create_keypoint_profile_or_die('LEGACY_2DCOCO13')) keypoints_2d, _ = input_generator.preprocess_keypoints_2d( keypoints_2d=None, keypoint_masks_2d=None, keypoints_3d=keypoints_3d, model_input_keypoint_type=common .MODEL_INPUT_KEYPOINT_TYPE_3D_PROJECTION, keypoint_profile_2d=keypoint_profile_2d, keypoint_profile_3d=keypoint_profile_3d, azimuth_range=(math.pi / 2.0, math.pi / 2.0), elevation_range=(-math.pi / 2.0, -math.pi / 2.0), roll_range=(math.pi, math.pi)) # Note that the results here were copied from test output; this test is # mainly meant for protecting the executability testing batch mixing. The # actual projection accuracy is tested separately. expected_keypoints_2d = [ [[[-0.08777856, -0.08777856], [0., 0.], [-0.08777856, -0.08777856], [-0.1613905, -0.1613905], [-0.22400928, -0.22400929], [0., 0.], [-0.08777856, -0.08777856], [-0.22400928, -0.22400929], [0., 0.], [-0.08777856, -0.08777856], [-0.1613905, -0.1613905], [-0.22400928, -0.22400929], [-0.22400928, -0.22400929]], [[-0.03107818, -0.03107818], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.10647015, 0.10647015], [0.06854735, 0.06854735], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.06854735, 0.06854735], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.10647015, 0.10647015], [0.06854735, 0.06854735], [0.06854735, 0.06854735]]], [[[-0.0098562, -0.0098562], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.13565616, 0.13565616]], [[-0.00734754, 0.02939016], [0.17376201, 0.17376202], [0.16365208, 0.16365209], [0.15371482, 0.15371484], [0.14394586, 0.14394587], [0.17376201, 0.17376202], [0.16365208, 0.16365209], [0.14394586, 0.14394587], [0.17376201, 0.17376202], [0.16365208, 0.16365209], [0.15371482, 0.15371484], [0.14394586, 0.14394587], [0.14394586, 0.14394587]]], [[[-0.08777856, -0.08777856], [0., 0.], [-0.08777856, -0.08777856], [-0.1613905, -0.1613905], [-0.22400928, -0.22400929], [0., 0.], [-0.08777856, -0.08777856], [-0.22400928, -0.22400929], [0., 0.], [-0.08777856, -0.08777856], [-0.1613905, -0.1613905], [-0.22400928, -0.22400929], [-0.22400928, -0.22400929]], [[-0.03107818, -0.03107818], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.10647015, 0.10647015], [0.06854735, 0.06854735], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.06854735, 0.06854735], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.10647015, 0.10647015], [0.06854735, 0.06854735], [0.06854735, 0.06854735]]], [[[-0.0098562, -0.0098562], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.13565616, 0.13565616]], [[-0.08777856, -0.08777856], [0., 0.], [-0.08777856, -0.08777856], [-0.1613905, -0.1613905], [-0.22400928, -0.22400929], [0., 0.], [-0.08777856, -0.08777856], [-0.22400928, -0.22400929], [0., 0.], [-0.08777856, -0.08777856], [-0.1613905, -0.1613905], [-0.22400928, -0.22400929], [-0.22400928, -0.22400929]]] ] self.assertAllClose(keypoints_2d, expected_keypoints_2d) def test_preprocess_keypoints_2d_with_input_and_projection(self): # Shape = [4, 2, 13, 2]. keypoints_2d = tf.constant([ [ [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], ], [ [[31.0, 32.0], [33.0, 34.0], [35.0, 36.0], [37.0, 38.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], ], [ [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], ], [ [[31.0, 32.0], [33.0, 34.0], [35.0, 36.0], [37.0, 38.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], ], ]) # Shape = [4, 2, 13]. keypoint_masks_2d = tf.constant([ [[ 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.10, 0.11, 0.12, 0.13 ], [ 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.20, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26 ]], [[ 0.27, 0.28, 0.29, 0.30, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39 ], [ 0.40, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.50, 0.51, 0.52 ]], [[ 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.60, 0.61, 0.62, 0.63, 0.64, 0.65 ], [ 0.66, 0.67, 0.68, 0.69, 0.70, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78 ]], [[ 0.79, 0.80, 0.81, 0.82, 0.83, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.90, 0.91 ], [ 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.00, 0.99, 0.98, 0.97, 0.96 ]], ]) # Shape = [4, 2, 17, 3]. keypoints_3d = tf.constant([ [[[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[11.0, 12.0, 13.0], [13.0, 14.0, 15.0], [15.0, 16.0, 17.0], [17.0, 18.0, 19.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], [[[31.0, 32.0, 33.0], [33.0, 34.0, 35.0], [35.0, 36.0, 37.0], [37.0, 38.0, 39.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[41.0, 42.0, 43.0], [43.0, 44.0, 35.0], [45.0, 46.0, 47.0], [47.0, 48.0, 49.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], [[[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[11.0, 12.0, 13.0], [13.0, 14.0, 15.0], [15.0, 16.0, 17.0], [17.0, 18.0, 19.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], [[[31.0, 32.0, 33.0], [33.0, 34.0, 35.0], [35.0, 36.0, 37.0], [37.0, 38.0, 39.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]], [[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [5.0, 6.0, 7.0], [7.0, 8.0, 9.0], [7.0, 8.0, 9.0]]], ]) # Shape = [4, 2]. assignment = tf.constant([[True, True], [False, False], [True, False], [False, True]]) keypoint_profile_3d = ( keypoint_profiles.create_keypoint_profile_or_die('LEGACY_3DH36M17')) keypoint_profile_2d = ( keypoint_profiles.create_keypoint_profile_or_die('LEGACY_2DCOCO13')) keypoints_2d, _ = input_generator.preprocess_keypoints_2d( keypoints_2d, keypoint_masks_2d, keypoints_3d, model_input_keypoint_type=common .MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT_AND_3D_PROJECTION, keypoint_profile_2d=keypoint_profile_2d, keypoint_profile_3d=keypoint_profile_3d, azimuth_range=(math.pi / 2.0, math.pi / 2.0), elevation_range=(-math.pi / 2.0, -math.pi / 2.0), roll_range=(math.pi, math.pi), projection_mix_batch_assignment=assignment) # Note that the results here were copied from test output; this test is # mainly meant for protecting the executability testing batch mixing. The # actual projection accuracy is tested separately. expected_keypoints_2d = [ [ [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], ], [ [[-0.0098562, -0.0098562], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.13565616, 0.13565616]], [[-0.00734754, 0.02939016], [0.17376201, 0.17376202], [0.16365208, 0.16365209], [0.15371482, 0.15371484], [0.14394586, 0.14394587], [0.17376201, 0.17376202], [0.16365208, 0.16365209], [0.14394586, 0.14394587], [0.17376201, 0.17376202], [0.16365208, 0.16365209], [0.15371482, 0.15371484], [0.14394586, 0.14394587], [0.14394586, 0.14394587]], ], [ [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], [[-0.03107818, -0.03107818], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.10647015, 0.10647015], [0.06854735, 0.06854735], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.06854735, 0.06854735], [0.19100799, 0.19100802], [0.14718375, 0.14718376], [0.10647015, 0.10647015], [0.06854735, 0.06854735], [0.06854735, 0.06854735]], ], [ [[-0.0098562, -0.0098562], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.13565616, 0.13565616], [0.17552288, 0.1755229], [0.16192658, 0.1619266], [0.14864118, 0.1486412], [0.13565616, 0.13565616], [0.13565616, 0.13565616]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0], [1.0, 2.0]], ], ] self.assertAllClose(keypoints_2d, expected_keypoints_2d) def test_create_model_keypoints_2d_input(self): keypoint_profile_2d = keypoint_profiles.KeypointProfile2D( name='Dummy', keypoint_names=[('A', keypoint_profiles.LeftRightType.UNKNOWN), ('B', keypoint_profiles.LeftRightType.UNKNOWN), ('C', keypoint_profiles.LeftRightType.UNKNOWN)], offset_keypoint_names=['A', 'B'], scale_keypoint_name_pairs=[(['A', 'B'], ['B']), (['A'], ['B', 'C'])], segment_name_pairs=[], scale_distance_reduction_fn=tf.math.reduce_sum, scale_unit=1.0) # Shape = [2, 3, 2]. keypoints_2d = tf.constant([[[0.0, 1.0], [2.0, 3.0], [4.0, 5.0]], [[10.0, 11.0], [12.0, 13.0], [14.0, 15.0]]]) keypoint_masks_2d = tf.ones([2, 3], dtype=tf.float32) # Shape = [2, 6]. features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, normalize_keypoints_2d=True, keypoint_profile_2d=keypoint_profile_2d) sqrt_2 = 1.414213562 self.assertAllClose(features, [[ -0.25 / sqrt_2, -0.25 / sqrt_2, 0.25 / sqrt_2, 0.25 / sqrt_2, 0.75 / sqrt_2, 0.75 / sqrt_2 ], [ -0.25 / sqrt_2, -0.25 / sqrt_2, 0.25 / sqrt_2, 0.25 / sqrt_2, 0.75 / sqrt_2, 0.75 / sqrt_2 ]]) self.assertCountEqual(side_outputs.keys(), [ 'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d', 'offset_points_2d', 'scale_distances_2d' ]) self.assertAllClose( side_outputs['preprocessed_keypoints_2d'], [[[-0.25 / sqrt_2, -0.25 / sqrt_2], [0.25 / sqrt_2, 0.25 / sqrt_2], [0.75 / sqrt_2, 0.75 / sqrt_2]], [[-0.25 / sqrt_2, -0.25 / sqrt_2], [0.25 / sqrt_2, 0.25 / sqrt_2], [0.75 / sqrt_2, 0.75 / sqrt_2]]]) self.assertAllClose(side_outputs['preprocessed_keypoint_masks_2d'], [[1.0, 1.0, 1.0], [1.0, 1.0, 1.0]]) self.assertAllClose(side_outputs['offset_points_2d'], [[[1.0, 2.0]], [[11.0, 12.0]]]) self.assertAllClose(side_outputs['scale_distances_2d'], [[[4.0 * sqrt_2]], [[4.0 * sqrt_2]]]) def test_create_model_masked_keypoints_2d_input(self): keypoints_2d = tf.constant([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], [[7.0, 8.0], [9.0, 10.0], [11.0, 12.0]]]) keypoint_masks_2d = tf.constant([[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]]) features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS), normalize_keypoints_2d=False, rescale_features=True) expected_features = np.array([[1.0, 2.0, 0.0, 0.0, 5.0, 6.0], [0.0, 0.0, 0.0, 0.0, 11.0, 12.0]]) expected_features *= np.array([[3.0 / 2.0], [3.0 / 1.0]]) self.assertAllClose(features, expected_features) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) self.assertAllClose(side_outputs['preprocessed_keypoints_2d'], [[[1.0, 2.0], [0.0, 0.0], [5.0, 6.0]], [[0.0, 0.0], [0.0, 0.0], [11.0, 12.0]]]) self.assertAllClose(side_outputs['preprocessed_keypoint_masks_2d'], [[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]]) def test_create_model_keypoints_with_masks_2d_input(self): keypoints_2d = tf.constant([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], [[7.0, 8.0], [9.0, 10.0], [11.0, 12.0]]]) keypoint_masks_2d = tf.constant([[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]]) features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_AS_INPUT), normalize_keypoints_2d=False, rescale_features=True) expected_features = np.array( [[1.0, 2.0, 1.0, 3.0, 4.0, 0.0, 5.0, 6.0, 1.0], [7.0, 8.0, 0.0, 9.0, 10.0, 0.0, 11.0, 12.0, 1.0]]) expected_features *= np.array([[3.0 / 2.0], [3.0 / 1.0]]) self.assertAllClose(features, expected_features) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) self.assertAllClose(side_outputs['preprocessed_keypoints_2d'], [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], [[7.0, 8.0], [9.0, 10.0], [11.0, 12.0]]]) self.assertAllClose(side_outputs['preprocessed_keypoint_masks_2d'], [[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]]) def test_create_model_masked_keypoints_with_masks_2d_input(self): keypoints_2d = tf.constant([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], [[7.0, 8.0], [9.0, 10.0], [11.0, 12.0]]]) keypoint_masks_2d = tf.constant([[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]]) features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS_AND_AS_INPUT), normalize_keypoints_2d=False, rescale_features=True) expected_features = np.array( [[1.0, 2.0, 1.0, 0.0, 0.0, 0.0, 5.0, 6.0, 1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 11.0, 12.0, 1.0]]) expected_features *= np.array([[3.0 / 2.0], [3.0 / 1.0]]) self.assertAllClose(features, expected_features) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) self.assertAllClose(side_outputs['preprocessed_keypoints_2d'], [[[1.0, 2.0], [0.0, 0.0], [5.0, 6.0]], [[0.0, 0.0], [0.0, 0.0], [11.0, 12.0]]]) self.assertAllClose(side_outputs['preprocessed_keypoint_masks_2d'], [[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]]) def test_create_model_input_with_instance_keypoint_dropout(self): # Shape = [2, 3, 4, 2]. keypoints_2d = tf.constant([ [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0]], [[21.0, 22.0], [23.0, 24.0], [25.0, 26.0], [27.0, 28.0]]], [[[31.0, 32.0], [33.0, 34.0], [35.0, 36.0], [37.0, 38.0]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0]], [[51.0, 52.0], [53.0, 54.0], [55.0, 56.0], [57.0, 58.0]]], ]) # Shape = [2, 3, 4]. keypoint_masks_2d = tf.constant([[ [0.0, 0.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], ], [ [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 0.0], [0.0, 0.0, 1.0, 1.0], ]]) # Shape = [2, 3, 12]. features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS_AND_AS_INPUT), normalize_keypoints_2d=False, keypoint_dropout_probs=(0.1, 0.8), rescale_features=True, seed=0) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) expected_features = np.array([ [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 6.0, 1.0, 7.0, 8.0, 1.0], [11.0, 12.0, 1.0, 13.0, 14.0, 1.0, 15.0, 16.0, 1.0, 17.0, 18.0, 1.0], [21.0, 22.0, 1.0, 23.0, 24.0, 1.0, 25.0, 26.0, 1.0, 27.0, 28.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 35.0, 36.0, 1.0, 0.0, 0.0, 0.0], [41.0, 42.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 55.0, 56.0, 1.0, 57.0, 58.0, 1.0]], ]) expected_features *= np.array([[[4.0 / 2.0], [4.0 / 4.0], [4.0 / 4.0]], [[4.0 / 1.0], [4.0 / 1.0], [4.0 / 2.0]]]) self.assertAllClose(features, expected_features) self.assertAllClose( side_outputs['preprocessed_keypoints_2d'], [[[[0.0, 0.0], [0.0, 0.0], [5.0, 6.0], [7.0, 8.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0]], [[21.0, 22.0], [23.0, 24.0], [25.0, 26.0], [27.0, 28.0]]], [[[0.0, 0.0], [0.0, 0.0], [35.0, 36.0], [0.0, 0.0]], [[41.0, 42.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0], [55.0, 56.0], [57.0, 58.0]]]]) self.assertAllClose( side_outputs['preprocessed_keypoint_masks_2d'], [[[0.0, 0.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 1.0, 0.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 1.0]]]) def test_create_model_sequence_input_with_instance_keypoint_dropout(self): # Shape = [2, 3, 4, 2]. keypoints_2d = tf.constant([ [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0]], [[21.0, 22.0], [23.0, 24.0], [25.0, 26.0], [27.0, 28.0]]], [[[31.0, 32.0], [33.0, 34.0], [35.0, 36.0], [37.0, 38.0]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0]], [[51.0, 52.0], [53.0, 54.0], [55.0, 56.0], [57.0, 58.0]]], ]) # Shape = [2, 3, 4]. keypoint_masks_2d = tf.constant([[ [0.0, 0.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], ], [ [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 0.0], [0.0, 0.0, 1.0, 1.0], ]]) # Shape = [2, 3, 12]. features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS_AND_AS_INPUT), normalize_keypoints_2d=False, keypoint_dropout_probs=(0.1, 0.8, 0.5), rescale_features=True, sequential_inputs=True, seed=0) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) self.assertAllEqual(features.shape.as_list(), [2, 3, 12]) self.assertAllEqual( side_outputs['preprocessed_keypoints_2d'].shape.as_list(), [2, 3, 4, 2]) self.assertAllEqual( side_outputs['preprocessed_keypoint_masks_2d'].shape.as_list(), [2, 3, 4]) self.assertAllClose(side_outputs['preprocessed_keypoints_2d'], [[[[0., 0.], [0., 0.], [5., 6.], [7., 8.]], [[11., 12.], [13., 14.], [15., 16.], [17., 18.]], [[21., 22.], [23., 24.], [25., 26.], [27., 28.]]], [[[31., 32.], [33., 34.], [35., 36.], [0., 0.]], [[41., 42.], [43., 44.], [45., 46.], [0., 0.]], [[0., 0.], [0., 0.], [55., 56.], [57., 58.]]]]) self.assertAllClose( side_outputs['preprocessed_keypoint_masks_2d'], [[[0., 0., 1., 1.], [1., 1., 1., 1.], [1., 1., 1., 1.]], [[1., 1., 1., 0.], [1., 1., 1., 0.], [0., 0., 1., 1.]]]) def test_create_model_input_with_on_mask_for_non_anchors(self): # Shape = [2, 3, 4, 2]. keypoints_2d = tf.constant([ [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0]], [[21.0, 22.0], [23.0, 24.0], [25.0, 26.0], [27.0, 28.0]]], [[[31.0, 32.0], [33.0, 34.0], [35.0, 36.0], [37.0, 38.0]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0]], [[51.0, 52.0], [53.0, 54.0], [55.0, 56.0], [57.0, 58.0]]], ]) # Shape = [2, 3, 4]. keypoint_masks_2d = tf.constant([[ [0.0, 0.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], ], [ [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 0.0], [0.0, 0.0, 1.0, 1.0], ]]) # Shape = [2, 3, 12]. features, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS_AND_AS_INPUT), normalize_keypoints_2d=False, keypoint_dropout_probs=(0.1, 0.8), set_on_mask_for_non_anchors=True, seed=0) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) expected_features = np.array([ [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 6.0, 1.0, 7.0, 8.0, 1.0], [11.0, 12.0, 1.0, 13.0, 14.0, 1.0, 15.0, 16.0, 1.0, 17.0, 18.0, 1.0], [21.0, 22.0, 1.0, 23.0, 24.0, 1.0, 25.0, 26.0, 1.0, 27.0, 28.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 35.0, 36.0, 1.0, 0.0, 0.0, 0.0], [41.0, 42.0, 1.0, 43.0, 44.0, 1.0, 45.0, 46.0, 1.0, 47.0, 48.0, 1.0], [51.0, 52.0, 1.0, 53.0, 54.0, 1.0, 55.0, 56.0, 1.0, 57.0, 58.0, 1.0]], ]) self.assertAllClose(features, expected_features) self.assertAllClose( side_outputs['preprocessed_keypoints_2d'], [[[[0.0, 0.0], [0.0, 0.0], [5.0, 6.0], [7.0, 8.0]], [[11.0, 12.0], [13.0, 14.0], [15.0, 16.0], [17.0, 18.0]], [[21.0, 22.0], [23.0, 24.0], [25.0, 26.0], [27.0, 28.0]]], [[[0.0, 0.0], [0.0, 0.0], [35.0, 36.0], [0.0, 0.0]], [[41.0, 42.0], [43.0, 44.0], [45.0, 46.0], [47.0, 48.0]], [[51.0, 52.0], [53.0, 54.0], [55.0, 56.0], [57.0, 58.0]]]]) self.assertAllClose( side_outputs['preprocessed_keypoint_masks_2d'], [[[0.0, 0.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 1.0, 0.0], [1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0]]]) def test_create_model_input_with_forced_on_masks(self): # Shape = [2, 13, 2]. keypoints_2d = tf.ones_like([2, 13, 2], dtype=tf.float32) # Shape = [2, 13]. keypoint_masks_2d = tf.constant( [[1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0], [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0]]) # Shape = [2, 39]. _, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS_AND_AS_INPUT), normalize_keypoints_2d=False, keypoint_profile_2d=keypoint_profiles.Std13KeypointProfile2D(), keypoint_dropout_probs=(0.5, 0.5), forced_mask_on_part_names=['HEAD', 'LEFT_SHOULDER', 'LEFT_ANKLE'], seed=0) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) expected_preprocessed_keypoint_masks_2d = np.array( [[1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0], [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0]]) self.assertAllClose(side_outputs['preprocessed_keypoint_masks_2d'], expected_preprocessed_keypoint_masks_2d) def test_create_model_input_with_forced_off_masks(self): # Shape = [2, 13, 2]. keypoints_2d = tf.ones_like([2, 13, 2], dtype=tf.float32) # Shape = [2, 13]. keypoint_masks_2d = tf.constant( [[1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0], [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0]]) # Shape = [2, 39]. _, side_outputs = input_generator.create_model_input( keypoints_2d, keypoint_masks_2d, keypoints_3d=None, model_input_keypoint_type=common.MODEL_INPUT_KEYPOINT_TYPE_2D_INPUT, model_input_keypoint_mask_type=( common.MODEL_INPUT_KEYPOINT_MASK_TYPE_MASK_KEYPOINTS_AND_AS_INPUT), normalize_keypoints_2d=False, keypoint_profile_2d=keypoint_profiles.Std13KeypointProfile2D(), keypoint_dropout_probs=(0.5, 0.5), forced_mask_off_part_names=['HEAD', 'LEFT_SHOULDER', 'LEFT_ANKLE'], seed=0) self.assertCountEqual( side_outputs.keys(), {'preprocessed_keypoints_2d', 'preprocessed_keypoint_masks_2d'}) expected_preprocessed_keypoint_masks_2d = np.array( [[0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0]]) self.assertAllClose(side_outputs['preprocessed_keypoint_masks_2d'], expected_preprocessed_keypoint_masks_2d) if __name__ == '__main__': tf.test.main()

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py

Python

egret/thirdparty/pglib_opf_files.py

bknueven/Egret

37567c1ec3bc0072b61124ce46ceb28add9ad539

[ "BSD-3-Clause" ]

71

2019-03-28T09:57:27.000Z

2022-03-08T05:24:25.000Z

egret/thirdparty/pglib_opf_files.py

bknueven/Egret

37567c1ec3bc0072b61124ce46ceb28add9ad539

[ "BSD-3-Clause" ]

139

2019-04-01T16:50:57.000Z

2022-03-31T20:29:04.000Z

egret/thirdparty/pglib_opf_files.py

bknueven/Egret

37567c1ec3bc0072b61124ce46ceb28add9ad539

[ "BSD-3-Clause" ]

44

2019-04-01T13:20:37.000Z

2022-03-09T14:50:18.000Z

# ___________________________________________________________________________ # # EGRET: Electrical Grid Research and Engineering Tools # Copyright 2019 National Technology & Engineering Solutions of Sandia, LLC # (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. # Government retains certain rights in this software. # This software is distributed under the Revised BSD License. # ___________________________________________________________________________ """ This is the list of expected files in the pglib ZIP archive If the archive changes, this list will need to be updated """ pglib_files_to_extract = [ 'pglib-opf-master/BASELINE.md', 'pglib-opf-master/CHANGELOG.md', 'pglib-opf-master/LICENSE', 'pglib-opf-master/MODEL.png', 'pglib-opf-master/MODEL.tex', 'pglib-opf-master/README.md', 'pglib-opf-master/api/pglib_opf_case10000_goc__api.m', 'pglib-opf-master/api/pglib_opf_case10480_goc__api.m', 'pglib-opf-master/api/pglib_opf_case118_ieee__api.m', 'pglib-opf-master/api/pglib_opf_case1354_pegase__api.m', 'pglib-opf-master/api/pglib_opf_case13659_pegase__api.m', 'pglib-opf-master/api/pglib_opf_case14_ieee__api.m', 'pglib-opf-master/api/pglib_opf_case162_ieee_dtc__api.m', 'pglib-opf-master/api/pglib_opf_case179_goc__api.m', 'pglib-opf-master/api/pglib_opf_case1888_rte__api.m', 'pglib-opf-master/api/pglib_opf_case19402_goc__api.m', 'pglib-opf-master/api/pglib_opf_case1951_rte__api.m', 'pglib-opf-master/api/pglib_opf_case2000_goc__api.m', 'pglib-opf-master/api/pglib_opf_case200_activ__api.m', 'pglib-opf-master/api/pglib_opf_case2312_goc__api.m', 'pglib-opf-master/api/pglib_opf_case2383wp_k__api.m', 'pglib-opf-master/api/pglib_opf_case240_pserc__api.m', 'pglib-opf-master/api/pglib_opf_case24464_goc__api.m', 'pglib-opf-master/api/pglib_opf_case24_ieee_rts__api.m', 'pglib-opf-master/api/pglib_opf_case2736sp_k__api.m', 'pglib-opf-master/api/pglib_opf_case2737sop_k__api.m', 'pglib-opf-master/api/pglib_opf_case2742_goc__api.m', 'pglib-opf-master/api/pglib_opf_case2746wop_k__api.m', 'pglib-opf-master/api/pglib_opf_case2746wp_k__api.m', 'pglib-opf-master/api/pglib_opf_case2848_rte__api.m', 'pglib-opf-master/api/pglib_opf_case2853_sdet__api.m', 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'pglib-opf-master/api/pglib_opf_case4917_goc__api.m', 'pglib-opf-master/api/pglib_opf_case500_goc__api.m', 'pglib-opf-master/api/pglib_opf_case57_ieee__api.m', 'pglib-opf-master/api/pglib_opf_case588_sdet__api.m', 'pglib-opf-master/api/pglib_opf_case5_pjm__api.m', 'pglib-opf-master/api/pglib_opf_case6468_rte__api.m', 'pglib-opf-master/api/pglib_opf_case6470_rte__api.m', 'pglib-opf-master/api/pglib_opf_case6495_rte__api.m', 'pglib-opf-master/api/pglib_opf_case6515_rte__api.m', 'pglib-opf-master/api/pglib_opf_case73_ieee_rts__api.m', 'pglib-opf-master/api/pglib_opf_case793_goc__api.m', 'pglib-opf-master/api/pglib_opf_case89_pegase__api.m', 'pglib-opf-master/api/pglib_opf_case9241_pegase__api.m', 'pglib-opf-master/api/pglib_opf_case9591_goc__api.m', 'pglib-opf-master/pglib_opf_case10000_goc.m', 'pglib-opf-master/pglib_opf_case10480_goc.m', 'pglib-opf-master/pglib_opf_case118_ieee.m', 'pglib-opf-master/pglib_opf_case1354_pegase.m', 'pglib-opf-master/pglib_opf_case13659_pegase.m', 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py

Python

osisoft/pidevclub/piwebapi/api/stream_api.py

inselbuch/pwap2

4ded0a62b241d9354f39ce87f3411fe9708317e3

[ "Apache-2.0" ]

3

2019-05-16T15:44:09.000Z

2020-11-25T22:28:31.000Z

osisoft/pidevclub/piwebapi/api/stream_api.py

inselbuch/pwap2

4ded0a62b241d9354f39ce87f3411fe9708317e3

[ "Apache-2.0" ]

null

osisoft/pidevclub/piwebapi/api/stream_api.py

inselbuch/pwap2

4ded0a62b241d9354f39ce87f3411fe9708317e3

[ "Apache-2.0" ]

8

2019-03-15T10:20:57.000Z

2021-05-20T13:06:37.000Z

# coding: utf-8 """ Copyright 2018 OSIsoft, LLC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at <http://www.apache.org/licenses/LICENSE-2.0> Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import from six import iteritems class StreamApi(object): def __init__(self, api_client): self.api_client = api_client def get_channel(self, web_id, heartbeat_rate=None, include_initial_values=None, web_id_type=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_channel_with_http_info(web_id, heartbeat_rate, include_initial_values, web_id_type, **kwargs) else: (data) = self.get_channel_with_http_info(web_id, heartbeat_rate, include_initial_values, web_id_type, **kwargs) return data def get_channel_with_http_info(self, web_id, heartbeat_rate=None, include_initial_values=None, web_id_type=None, **kwargs): all_params = ['web_id', 'heartbeat_rate', 'include_initial_values', 'web_id_type'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_channel_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_channel_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'heartbeat_rate' in params: if (params['heartbeat_rate'] is not None): query_params['heartbeatRate'] = params['heartbeat_rate'] if 'include_initial_values' in params: if (params['include_initial_values'] is not None): query_params['includeInitialValues'] = params['include_initial_values'] if 'web_id_type' in params: if (params['web_id_type'] is not None): query_params['webIdType'] = params['web_id_type'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/channel', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIItemsStreamValues', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_end(self, web_id, desired_units=None, selected_fields=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_end_with_http_info(web_id, desired_units, selected_fields, **kwargs) else: (data) = self.get_end_with_http_info(web_id, desired_units, selected_fields, **kwargs) return data def get_end_with_http_info(self, web_id, desired_units=None, selected_fields=None, **kwargs): all_params = ['web_id', 'desired_units', 'selected_fields'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_end_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_end_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/end', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PITimedValue', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_interpolated(self, web_id, desired_units=None, end_time=None, filter_expression=None, include_filtered_values=None, interval=None, selected_fields=None, start_time=None, sync_time=None, sync_time_boundary_type=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_interpolated_with_http_info(web_id, desired_units, end_time, filter_expression, include_filtered_values, interval, selected_fields, start_time, sync_time, sync_time_boundary_type, time_zone, **kwargs) else: (data) = self.get_interpolated_with_http_info(web_id, desired_units, end_time, filter_expression, include_filtered_values, interval, selected_fields, start_time, sync_time, sync_time_boundary_type, time_zone, **kwargs) return data def get_interpolated_with_http_info(self, web_id, desired_units=None, end_time=None, filter_expression=None, include_filtered_values=None, interval=None, selected_fields=None, start_time=None, sync_time=None, sync_time_boundary_type=None, time_zone=None, **kwargs): all_params = ['web_id', 'desired_units', 'end_time', 'filter_expression', 'include_filtered_values', 'interval', 'selected_fields', 'start_time', 'sync_time', 'sync_time_boundary_type', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_interpolated_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_interpolated_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'end_time' in params: if (params['end_time'] is not None): query_params['endTime'] = params['end_time'] if 'filter_expression' in params: if (params['filter_expression'] is not None): query_params['filterExpression'] = params['filter_expression'] if 'include_filtered_values' in params: if (params['include_filtered_values'] is not None): query_params['includeFilteredValues'] = params['include_filtered_values'] if 'interval' in params: if (params['interval'] is not None): query_params['interval'] = params['interval'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'start_time' in params: if (params['start_time'] is not None): query_params['startTime'] = params['start_time'] if 'sync_time' in params: if (params['sync_time'] is not None): query_params['syncTime'] = params['sync_time'] if 'sync_time_boundary_type' in params: if (params['sync_time_boundary_type'] is not None): query_params['syncTimeBoundaryType'] = params['sync_time_boundary_type'] if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/interpolated', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PITimedValues', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_interpolated_at_times(self, web_id, desired_units=None, filter_expression=None, include_filtered_values=None, selected_fields=None, sort_order=None, time=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_interpolated_at_times_with_http_info(web_id, desired_units, filter_expression, include_filtered_values, selected_fields, sort_order, time, time_zone, **kwargs) else: (data) = self.get_interpolated_at_times_with_http_info(web_id, desired_units, filter_expression, include_filtered_values, selected_fields, sort_order, time, time_zone, **kwargs) return data def get_interpolated_at_times_with_http_info(self, web_id, desired_units=None, filter_expression=None, include_filtered_values=None, selected_fields=None, sort_order=None, time=None, time_zone=None, **kwargs): all_params = ['web_id', 'desired_units', 'filter_expression', 'include_filtered_values', 'selected_fields', 'sort_order', 'time', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_interpolated_at_times_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_interpolated_at_times_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'filter_expression' in params: if (params['filter_expression'] is not None): query_params['filterExpression'] = params['filter_expression'] if 'include_filtered_values' in params: if (params['include_filtered_values'] is not None): query_params['includeFilteredValues'] = params['include_filtered_values'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'sort_order' in params: if (params['sort_order'] is not None): query_params['sortOrder'] = params['sort_order'] if 'time' in params: if (params['time'] is not None): query_params['time'] = params['time'] collection_formats['time'] = 'multi' if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/interpolatedattimes', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PITimedValues', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_plot(self, web_id, desired_units=None, end_time=None, intervals=None, selected_fields=None, start_time=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_plot_with_http_info(web_id, desired_units, end_time, intervals, selected_fields, start_time, time_zone, **kwargs) else: (data) = self.get_plot_with_http_info(web_id, desired_units, end_time, intervals, selected_fields, start_time, time_zone, **kwargs) return data def get_plot_with_http_info(self, web_id, desired_units=None, end_time=None, intervals=None, selected_fields=None, start_time=None, time_zone=None, **kwargs): all_params = ['web_id', 'desired_units', 'end_time', 'intervals', 'selected_fields', 'start_time', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_plot_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_plot_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'end_time' in params: if (params['end_time'] is not None): query_params['endTime'] = params['end_time'] if 'intervals' in params: if (params['intervals'] is not None): query_params['intervals'] = params['intervals'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'start_time' in params: if (params['start_time'] is not None): query_params['startTime'] = params['start_time'] if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/plot', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PITimedValues', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_recorded(self, web_id, associations=None, boundary_type=None, desired_units=None, end_time=None, filter_expression=None, include_filtered_values=None, max_count=None, selected_fields=None, start_time=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_recorded_with_http_info(web_id, associations, boundary_type, desired_units, end_time, filter_expression, include_filtered_values, max_count, selected_fields, start_time, time_zone, **kwargs) else: (data) = self.get_recorded_with_http_info(web_id, associations, boundary_type, desired_units, end_time, filter_expression, include_filtered_values, max_count, selected_fields, start_time, time_zone, **kwargs) return data def get_recorded_with_http_info(self, web_id, associations=None, boundary_type=None, desired_units=None, end_time=None, filter_expression=None, include_filtered_values=None, max_count=None, selected_fields=None, start_time=None, time_zone=None, **kwargs): all_params = ['web_id', 'associations', 'boundary_type', 'desired_units', 'end_time', 'filter_expression', 'include_filtered_values', 'max_count', 'selected_fields', 'start_time', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_recorded_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_recorded_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'associations' in params: if (params['associations'] is not None): query_params['associations'] = params['associations'] if 'boundary_type' in params: if (params['boundary_type'] is not None): query_params['boundaryType'] = params['boundary_type'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'end_time' in params: if (params['end_time'] is not None): query_params['endTime'] = params['end_time'] if 'filter_expression' in params: if (params['filter_expression'] is not None): query_params['filterExpression'] = params['filter_expression'] if 'include_filtered_values' in params: if (params['include_filtered_values'] is not None): query_params['includeFilteredValues'] = params['include_filtered_values'] if 'max_count' in params: if (params['max_count'] is not None): query_params['maxCount'] = params['max_count'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'start_time' in params: if (params['start_time'] is not None): query_params['startTime'] = params['start_time'] if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/recorded', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIExtendedTimedValues', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def update_values(self, web_id, values, buffer_option=None, update_option=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.update_values_with_http_info(web_id, values, buffer_option, update_option, **kwargs) else: (data) = self.update_values_with_http_info(web_id, values, buffer_option, update_option, **kwargs) return data def update_values_with_http_info(self, web_id, values, buffer_option=None, update_option=None, **kwargs): all_params = ['web_id', 'values', 'buffer_option', 'update_option'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_values_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `update_values_with_http_info`") if ('values' not in params) or (params['values'] is None): raise ValueError("Missing the required parameter `values` when calling `update_values_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'values' in params: body_params = params['values'] if 'buffer_option' in params: if (params['buffer_option'] is not None): query_params['bufferOption'] = params['buffer_option'] if 'update_option' in params: if (params['update_option'] is not None): query_params['updateOption'] = params['update_option'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/recorded', 'POST', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIItemsSubstatus', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_recorded_at_time(self, web_id, time, associations=None, desired_units=None, retrieval_mode=None, selected_fields=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_recorded_at_time_with_http_info(web_id, time, associations, desired_units, retrieval_mode, selected_fields, time_zone, **kwargs) else: (data) = self.get_recorded_at_time_with_http_info(web_id, time, associations, desired_units, retrieval_mode, selected_fields, time_zone, **kwargs) return data def get_recorded_at_time_with_http_info(self, web_id, time, associations=None, desired_units=None, retrieval_mode=None, selected_fields=None, time_zone=None, **kwargs): all_params = ['web_id', 'time', 'associations', 'desired_units', 'retrieval_mode', 'selected_fields', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_recorded_at_time_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_recorded_at_time_with_http_info`") if ('time' not in params) or (params['time'] is None): raise ValueError("Missing the required parameter `time` when calling `get_recorded_at_time_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'time' in params: if (params['time'] is not None): query_params['time'] = params['time'] if 'associations' in params: if (params['associations'] is not None): query_params['associations'] = params['associations'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'retrieval_mode' in params: if (params['retrieval_mode'] is not None): query_params['retrievalMode'] = params['retrieval_mode'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/recordedattime', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIExtendedTimedValue', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_recorded_at_times(self, web_id, associations=None, desired_units=None, retrieval_mode=None, selected_fields=None, sort_order=None, time=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_recorded_at_times_with_http_info(web_id, associations, desired_units, retrieval_mode, selected_fields, sort_order, time, time_zone, **kwargs) else: (data) = self.get_recorded_at_times_with_http_info(web_id, associations, desired_units, retrieval_mode, selected_fields, sort_order, time, time_zone, **kwargs) return data def get_recorded_at_times_with_http_info(self, web_id, associations=None, desired_units=None, retrieval_mode=None, selected_fields=None, sort_order=None, time=None, time_zone=None, **kwargs): all_params = ['web_id', 'associations', 'desired_units', 'retrieval_mode', 'selected_fields', 'sort_order', 'time', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_recorded_at_times_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_recorded_at_times_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'associations' in params: if (params['associations'] is not None): query_params['associations'] = params['associations'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'retrieval_mode' in params: if (params['retrieval_mode'] is not None): query_params['retrievalMode'] = params['retrieval_mode'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'sort_order' in params: if (params['sort_order'] is not None): query_params['sortOrder'] = params['sort_order'] if 'time' in params: if (params['time'] is not None): query_params['time'] = params['time'] collection_formats['time'] = 'multi' if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/recordedattimes', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIExtendedTimedValues', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_summary(self, web_id, calculation_basis=None, end_time=None, filter_expression=None, sample_interval=None, sample_type=None, selected_fields=None, start_time=None, summary_duration=None, summary_type=None, time_type=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_summary_with_http_info(web_id, calculation_basis, end_time, filter_expression, sample_interval, sample_type, selected_fields, start_time, summary_duration, summary_type, time_type, time_zone, **kwargs) else: (data) = self.get_summary_with_http_info(web_id, calculation_basis, end_time, filter_expression, sample_interval, sample_type, selected_fields, start_time, summary_duration, summary_type, time_type, time_zone, **kwargs) return data def get_summary_with_http_info(self, web_id, calculation_basis=None, end_time=None, filter_expression=None, sample_interval=None, sample_type=None, selected_fields=None, start_time=None, summary_duration=None, summary_type=None, time_type=None, time_zone=None, **kwargs): all_params = ['web_id', 'calculation_basis', 'end_time', 'filter_expression', 'sample_interval', 'sample_type', 'selected_fields', 'start_time', 'summary_duration', 'summary_type', 'time_type', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_summary_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_summary_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'calculation_basis' in params: if (params['calculation_basis'] is not None): query_params['calculationBasis'] = params['calculation_basis'] if 'end_time' in params: if (params['end_time'] is not None): query_params['endTime'] = params['end_time'] if 'filter_expression' in params: if (params['filter_expression'] is not None): query_params['filterExpression'] = params['filter_expression'] if 'sample_interval' in params: if (params['sample_interval'] is not None): query_params['sampleInterval'] = params['sample_interval'] if 'sample_type' in params: if (params['sample_type'] is not None): query_params['sampleType'] = params['sample_type'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'start_time' in params: if (params['start_time'] is not None): query_params['startTime'] = params['start_time'] if 'summary_duration' in params: if (params['summary_duration'] is not None): query_params['summaryDuration'] = params['summary_duration'] if 'summary_type' in params: if (params['summary_type'] is not None): query_params['summaryType'] = params['summary_type'] collection_formats['summaryType'] = 'multi' if 'time_type' in params: if (params['time_type'] is not None): query_params['timeType'] = params['time_type'] if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/summary', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIItemsSummaryValue', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def register_stream_update(self, web_id, selected_fields=None, web_id_type=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.register_stream_update_with_http_info(web_id, selected_fields, web_id_type, **kwargs) else: (data) = self.register_stream_update_with_http_info(web_id, selected_fields, web_id_type, **kwargs) return data def register_stream_update_with_http_info(self, web_id, selected_fields=None, web_id_type=None, **kwargs): all_params = ['web_id', 'selected_fields', 'web_id_type'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method register_stream_update_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `register_stream_update_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'web_id_type' in params: if (params['web_id_type'] is not None): query_params['webIdType'] = params['web_id_type'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/updates', 'POST', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIStreamUpdatesRegister', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def get_value(self, web_id, desired_units=None, selected_fields=None, time=None, time_zone=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_value_with_http_info(web_id, desired_units, selected_fields, time, time_zone, **kwargs) else: (data) = self.get_value_with_http_info(web_id, desired_units, selected_fields, time, time_zone, **kwargs) return data def get_value_with_http_info(self, web_id, desired_units=None, selected_fields=None, time=None, time_zone=None, **kwargs): all_params = ['web_id', 'desired_units', 'selected_fields', 'time', 'time_zone'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_value_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `get_value_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'time' in params: if (params['time'] is not None): query_params['time'] = params['time'] if 'time_zone' in params: if (params['time_zone'] is not None): query_params['timeZone'] = params['time_zone'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/value', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PITimedValue', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def update_value(self, web_id, value, buffer_option=None, update_option=None, web_id_type=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.update_value_with_http_info(web_id, value, buffer_option, update_option, web_id_type, **kwargs) else: (data) = self.update_value_with_http_info(web_id, value, buffer_option, update_option, web_id_type, **kwargs) return data def update_value_with_http_info(self, web_id, value, buffer_option=None, update_option=None, web_id_type=None, **kwargs): all_params = ['web_id', 'value', 'buffer_option', 'update_option', 'web_id_type'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_value_with_http_info" % key ) params[key] = val del params['kwargs'] if ('web_id' not in params) or (params['web_id'] is None): raise ValueError("Missing the required parameter `web_id` when calling `update_value_with_http_info`") if ('value' not in params) or (params['value'] is None): raise ValueError("Missing the required parameter `value` when calling `update_value_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'web_id' in params: if (params['web_id'] is not None): path_params['webId'] = params['web_id'] if 'value' in params: body_params = params['value'] if 'buffer_option' in params: if (params['buffer_option'] is not None): query_params['bufferOption'] = params['buffer_option'] if 'update_option' in params: if (params['update_option'] is not None): query_params['updateOption'] = params['update_option'] if 'web_id_type' in params: if (params['web_id_type'] is not None): query_params['webIdType'] = params['web_id_type'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/{webId}/value', 'POST', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type =None, callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats) def retrieve_stream_update(self, marker, desired_units=None, selected_fields=None, web_id_type=None, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.retrieve_stream_update_with_http_info(marker, desired_units, selected_fields, web_id_type, **kwargs) else: (data) = self.retrieve_stream_update_with_http_info(marker, desired_units, selected_fields, web_id_type, **kwargs) return data def retrieve_stream_update_with_http_info(self, marker, desired_units=None, selected_fields=None, web_id_type=None, **kwargs): all_params = ['marker', 'desired_units', 'selected_fields', 'web_id_type'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method retrieve_stream_update_with_http_info" % key ) params[key] = val del params['kwargs'] if ('marker' not in params) or (params['marker'] is None): raise ValueError("Missing the required parameter `marker` when calling `retrieve_stream_update_with_http_info`") collection_formats = {} query_params = {} path_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'marker' in params: if (params['marker'] is not None): path_params['marker'] = params['marker'] if 'desired_units' in params: if (params['desired_units'] is not None): query_params['desiredUnits'] = params['desired_units'] if 'selected_fields' in params: if (params['selected_fields'] is not None): query_params['selectedFields'] = params['selected_fields'] if 'web_id_type' in params: if (params['web_id_type'] is not None): query_params['webIdType'] = params['web_id_type'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/json', 'text/html', 'application/x-ms-application']) header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) return self.api_client.call_api('/streams/updates/{marker}', 'GET', path_params, query_params, header_params, body =body_params, post_params =form_params, files =local_var_files, response_type ='PIStreamUpdatesRetrieve', callback =params.get('callback'), _return_http_data_only =params.get('_return_http_data_only'), _preload_content =params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats =collection_formats)

39.436869

273

0.710956

6,246

46,851

4.993756

0.035703

0.028053

0.028854

0.046167

0.945657

0.927255

0.913405

0.905133

0.894168

0.889071

0

0.00023

0.165141

46,851

1,187

274

39.470093

0.797208

0.012081

0

0.796875

0

0.265302

0.071544

0

1

0.030208

false

0

0.002083

0

0.077083

0

null

0

1

0

1

0

null

0

7

3d0b8ee8898caa473059975ecea803378304ffff

271

bzl

Python

markdown/deps.bzl

cgrindel/bazel-starlib

17430b0574da13a01ab49f3bc24eea66b29c7905

[ "Apache-2.0" ]

9

2021-11-02T22:29:57.000Z

2022-02-18T00:16:10.000Z

markdown/deps.bzl

cgrindel/bazel-starlib

17430b0574da13a01ab49f3bc24eea66b29c7905

[ "Apache-2.0" ]

42

2021-12-06T18:28:36.000Z

2022-03-29T16:44:51.000Z

markdown/deps.bzl

cgrindel/bazel-starlib

17430b0574da13a01ab49f3bc24eea66b29c7905

[ "Apache-2.0" ]

null

"""Dependency Functions for markdown""" load("//markdown/private:github_markdown_toc_go_repositories.bzl", "github_markdown_toc_go_repositories") def bazel_starlib_markdown_dependencies(): # Deps for github-markdown-toc.go github_markdown_toc_go_repositories()

33.875

105

0.815498

34

271

6.058824

0.470588

0.271845

0.330097

0.368932

0.451456

0

0.084871

271

7

106

38.714286

0.830645

0.243542

0

0.467337

0

1

0.333333

true

0

0.333333

0

null

1

0

1

0

1

null

0

1

0

7

3d15ce756ff6198360c9b8128c76decc5361e0b8

239

py

Python

signal_separation/__init__.py

MieszkoP/signal_separation

c18a29fb92891e671907524609162f9a7985eaff

[ "MIT" ]

null

signal_separation/__init__.py

MieszkoP/signal_separation

c18a29fb92891e671907524609162f9a7985eaff

[ "MIT" ]

null

signal_separation/__init__.py

MieszkoP/signal_separation

c18a29fb92891e671907524609162f9a7985eaff

[ "MIT" ]

null

from signal_separation._file_downloader import * from signal_separation._genetic_alg import * from signal_separation._neural_network import * from signal_separation._signal_creator import * from signal_separation._evaluation import *

39.833333

49

0.853556

29

239

6.551724

0.413793

0.263158

0.526316

0.547368

0

0.104603

239

5

50

47.8

0.88785

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

3d3265e49c5c3a533e0f1076970354752c8d9fba

22,323

py

Python

optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum2000/Output/Histos/MadAnalysis5job_0/selection_9.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum2000/Output/Histos/MadAnalysis5job_0/selection_9.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum2000/Output/Histos/MadAnalysis5job_0/selection_9.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

def selection_9(): # Library import import numpy import matplotlib import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec # Library version matplotlib_version = matplotlib.__version__ numpy_version = numpy.__version__ # Histo binning xBinning = numpy.linspace(-15.0,15.0,101,endpoint=True) # Creating data sequence: middle of each bin xData = numpy.array([-14.85,-14.55,-14.25,-13.95,-13.65,-13.35,-13.05,-12.75,-12.45,-12.15,-11.85,-11.55,-11.25,-10.95,-10.65,-10.35,-10.05,-9.75,-9.45,-9.15,-8.85,-8.55,-8.25,-7.95,-7.65,-7.35,-7.05,-6.75,-6.45,-6.15,-5.85,-5.55,-5.25,-4.95,-4.65,-4.35,-4.05,-3.75,-3.45,-3.15,-2.85,-2.55,-2.25,-1.95,-1.65,-1.35,-1.05,-0.75,-0.45,-0.15,0.15,0.45,0.75,1.05,1.35,1.65,1.95,2.25,2.55,2.85,3.15,3.45,3.75,4.05,4.35,4.65,4.95,5.25,5.55,5.85,6.15,6.45,6.75,7.05,7.35,7.65,7.95,8.25,8.55,8.85,9.15,9.45,9.75,10.05,10.35,10.65,10.95,11.25,11.55,11.85,12.15,12.45,12.75,13.05,13.35,13.65,13.95,14.25,14.55,14.85]) # Creating weights for histo: y10_sdETA_0 y10_sdETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.204704212375,2.25174593613,8.80227993214,21.6986401118,36.6420464152,53.6324908423,82.905204012,114.020235493,170.518583709,232.953386483,307.465718188,414.321220248,521.995721557,650.959403353,804.692062447,1026.59145906,1284.72342247,1594.85033822,2013.26615471,2484.28972299,3234.94103497,4156.72419009,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4114.35022893,3217.13105129,2523.18368734,1993.2045731,1604.67612921,1269.16603673,1008.16807595,827.619041433,645.227608607,510.122932439,410.022424188,304.19032119,222.103996427,167.857426148,116.271973429,84.7475423233,48.7195953453,35.2091277285,17.1951522395,8.18816649501,3.88938043513,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_1 y10_sdETA_1_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.608524689202,0.0,0.0,0.606569232146,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.60876676669,0.606204111962,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_2 y10_sdETA_2_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.50736881326,0.501704653628,0.502286650984,1.50712750232,1.50450179966,1.00388531787,3.51277241183,5.0203335714,5.01970550183,4.01664121963,2.50888792037,0.502662459713,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.01140968424,2.50877635538,3.0151533094,4.01494088657,1.00653271373,3.01181255781,5.51779978848,3.01261004087,2.00904929447,3.01094069808,1.00558647734,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_3 y10_sdETA_3_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.10026189065,1.10045140987,3.84930204752,6.87611909186,7.69970911604,9.62207798707,14.2923720407,14.8556503999,16.2327340661,23.3839708855,19.2492463834,18.6983852913,14.8475963406,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.3950245549,16.2282083551,21.179291494,22.8220352081,16.503096547,16.7778506739,11.824029358,12.3782745768,7.97835722319,4.12516728929,3.02472481708,1.09851681061,0.826740146537,0.275710863831,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_4 y10_sdETA_4_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0985701899697,0.296185732578,0.493794400971,1.18454993118,2.12262373267,3.69948679454,6.21838404826,9.52409248191,13.0754208746,16.2833531003,19.0463010678,20.0821913606,21.2150742407,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.5893902137,19.834445004,18.109267217,14.3079558422,12.8800327986,8.93105002911,6.71042362012,3.94722914285,2.22083884833,1.43056631006,0.345254810826,0.147886359218,0.0494219279649,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_5 y10_sdETA_5_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0378514998332,0.0755934089189,0.214357141265,0.516980647045,1.13450510324,2.25632904858,3.80652398013,5.28123173256,7.61313598495,9.65462675727,10.3478832613,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.6881327236,9.45177584426,7.38545810634,5.24336510849,3.40286672774,2.40734741915,1.28528580713,0.655535520793,0.415851873779,0.0630007958634,0.0126041182835,0.0378146494942,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_6 y10_sdETA_6_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0143411554736,0.100065596626,0.200460397999,0.47301298656,0.901711095362,1.68852393584,3.10671159184,4.19380604765,5.64104279847,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.8670482491,3.95155064278,2.41875214873,1.63223322321,1.20249856433,0.443279739695,0.143197066797,0.114620485258,0.0286273868392,0.014258439407,0.0143157628208,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_7 y10_sdETA_7_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00215997406046,0.00431397601044,0.010799579031,0.0259288501526,0.0594129020269,0.105840026063,0.204042204777,0.377854801663,0.65747928235,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.579927970181,0.338987677991,0.198650206247,0.11437643506,0.0290956612717,0.0205236375417,0.00755819615887,0.00215868324641,0.00432027082444,0.00107991829857,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_8 y10_sdETA_8_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00284489105365,0.0,0.00994095757125,0.0113629027033,0.0141164026728,0.017028113499,0.0780165872664,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0921160626396,0.0339963949335,0.0170338524475,0.00845509703485,0.00425738139803,0.00141082062962,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_9 y10_sdETA_9_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_10 y10_sdETA_10_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.7314194359,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.64790836,0.0,0.0,52.6056914349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_11 y10_sdETA_11_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.5180092207,0.0,0.0,11.5010091185,57.6344196748,46.0519856772,103.676721749,69.1075673012,103.531217936,92.2040736739,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,46.1034778492,126.720679208,138.132209149,46.0055658683,11.533658614,46.0776164822,23.0208820484,0.0,11.5419281031,11.5309840952,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_12 y10_sdETA_12_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.38117140177,6.92129884493,2.76644767576,6.91446893152,26.3187472402,35.98510388,45.7183748221,78.9031949697,88.60297991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,98.3118239582,89.9820800266,59.5519980326,29.0876606858,15.221767048,15.2301529738,8.30849445729,4.15073706475,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_13 y10_sdETA_13_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.503561896398,0.0,1.00812424448,1.0097770987,3.52699425988,6.55498555153,5.5475061235,18.6474302277,21.1769647485,34.7714160362,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.2438222874,26.2134849383,14.1134723929,7.05749328683,5.03883849459,3.52881188367,1.00915048883,1.00622711863,1.00524153565,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_14 y10_sdETA_14_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.141599040379,0.0,0.141600752492,0.566197133182,0.423849745501,1.55605375571,2.97105094155,6.07935563826,9.19626514586,16.409622513,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.4291270824,10.1862935568,5.23233098913,3.3952740816,1.69781902495,0.708094754535,0.141551466721,0.282364377887,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_15 y10_sdETA_15_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.15271428314,0.151729115483,0.455340992656,0.532849239786,1.21931442957,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.21780987864,0.915017526691,0.229729562326,0.227621122711,0.076910740671,0.0,0.0761303361315,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y10_sdETA_16 y10_sdETA_16_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00902010263406,0.0180103324069,0.0,0.0271034569489,0.0451848632429,0.12637290531,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.144445514712,0.0541432759836,0.0271105599103,0.0270862481481,0.0090377522419,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating a new Canvas fig = plt.figure(figsize=(12,6),dpi=80) frame = gridspec.GridSpec(1,1,right=0.7) pad = fig.add_subplot(frame[0]) # Creating a new Stack pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights+y10_sdETA_13_weights+y10_sdETA_14_weights+y10_sdETA_15_weights+y10_sdETA_16_weights,\ label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#e5e5e5", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights+y10_sdETA_13_weights+y10_sdETA_14_weights+y10_sdETA_15_weights,\ label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#f2f2f2", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights+y10_sdETA_13_weights+y10_sdETA_14_weights,\ label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights+y10_sdETA_13_weights,\ label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights,\ label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#c1bfa8", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights,\ label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#bab5a3", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights,\ label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#b2a596", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights,\ label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#b7a39b", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights,\ label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ad998c", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights,\ label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#9b8e82", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights,\ label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#876656", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights,\ label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#afcec6", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights,\ label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#84c1a3", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights,\ label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#89a8a0", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights,\ label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#829e8c", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights+y10_sdETA_1_weights,\ label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#adbcc6", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y10_sdETA_0_weights,\ label="$signal$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#7a8e99", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") # Axis plt.rc('text',usetex=False) plt.xlabel(r"\Delta\eta ( j_{1} , j_{2} ) ",\ fontsize=16,color="black") plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 2000.0\ \mathrm{fb}^{-1})$ ",\ fontsize=16,color="black") # Boundary of y-axis ymax=(y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights+y10_sdETA_13_weights+y10_sdETA_14_weights+y10_sdETA_15_weights+y10_sdETA_16_weights).max()*1.1 ymin=0 # linear scale #ymin=min([x for x in (y10_sdETA_0_weights+y10_sdETA_1_weights+y10_sdETA_2_weights+y10_sdETA_3_weights+y10_sdETA_4_weights+y10_sdETA_5_weights+y10_sdETA_6_weights+y10_sdETA_7_weights+y10_sdETA_8_weights+y10_sdETA_9_weights+y10_sdETA_10_weights+y10_sdETA_11_weights+y10_sdETA_12_weights+y10_sdETA_13_weights+y10_sdETA_14_weights+y10_sdETA_15_weights+y10_sdETA_16_weights) if x])/100. # log scale plt.gca().set_ylim(ymin,ymax) # Log/Linear scale for X-axis plt.gca().set_xscale("linear") #plt.gca().set_xscale("log",nonposx="clip") # Log/Linear scale for Y-axis plt.gca().set_yscale("linear") #plt.gca().set_yscale("log",nonposy="clip") # Legend plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.) # Saving the image plt.savefig('../../HTML/MadAnalysis5job_0/selection_9.png') plt.savefig('../../PDF/MadAnalysis5job_0/selection_9.png') plt.savefig('../../DVI/MadAnalysis5job_0/selection_9.eps') # Running! if __name__ == '__main__': selection_9()

115.06701

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0.074004

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0.343525

0.063567

0

0.185841

0

0.00885

0.050029

0.009584

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181e35012f8c7d48dca0fe2d11ba70d3848980bf

7,357

py

Python

unittests/tools/test_github_vulnerability_parser.py

mtcolman/django-DefectDojo

76175aca446e077884bdb5e1d8e2a671a0840775

[ "BSD-3-Clause" ]

2

2022-03-29T11:37:23.000Z

2022-03-31T18:32:35.000Z

unittests/tools/test_github_vulnerability_parser.py

mtcolman/django-DefectDojo

76175aca446e077884bdb5e1d8e2a671a0840775

[ "BSD-3-Clause" ]

206

2020-04-20T16:03:18.000Z

2022-01-15T23:07:48.000Z

unittests/tools/test_github_vulnerability_parser.py

mtcolman/django-DefectDojo

76175aca446e077884bdb5e1d8e2a671a0840775

[ "BSD-3-Clause" ]

1

2020-12-06T15:44:44.000Z

from ..dojo_test_case import DojoTestCase from dojo.models import Test from dojo.tools.github_vulnerability.parser import GithubVulnerabilityParser class TestGithubVulnerabilityParser(DojoTestCase): def test_parse_file_with_no_vuln_has_no_findings(self): """sample with zero vulnerability""" testfile = open("unittests/scans/github_vulnerability/github-0-vuln.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(0, len(findings)) def test_parse_file_with_one_vuln_has_one_findings(self): """sample with one vulnerability""" testfile = open("unittests/scans/github_vulnerability/github-1-vuln.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(1, len(findings)) for finding in findings: finding.clean() with self.subTest(i=0): finding = findings[0] self.assertEqual(finding.title, "Critical severity vulnerability that affects package") self.assertEqual( finding.description, "This is a sample description for sample description from Github API.", ) self.assertEqual(finding.severity, "Critical") self.assertIsNone(finding.cve) self.assertEqual(finding.component_name, "package") self.assertEqual(finding.unique_id_from_tool, "aabbccddeeff1122334401") def test_parse_file_with_multiple_vuln_has_multiple_findings(self): """sample with five vulnerability""" testfile = open("unittests/scans/github_vulnerability/github-5-vuln.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(5, len(findings)) def test_parse_file_issue2984(self): testfile = open("unittests/scans/github_vulnerability/github_issue2984.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(4, len(findings)) for finding in findings: finding.clean() with self.subTest(i=0): finding = findings[0] self.assertEqual(finding.title, "XXXXXXXXXXXXXXX") self.assertEqual(finding.severity, "Medium") self.assertIsNone(finding.cve) self.assertEqual(finding.unique_id_from_tool, "xxxxxxxxx") with self.subTest(i=1): finding = findings[1] self.assertEqual(finding.title, "AMSVNASCMASNCADNNJSADC") self.assertEqual(finding.severity, "Medium") self.assertIsNone(finding.cve) self.assertEqual(finding.unique_id_from_tool, "AFDSFSDAFSDASFDAFSDASFD=") with self.subTest(i=3): finding = findings[3] self.assertEqual(finding.title, "SDKPKÁSMNMKSDANJDOPASJOKNDOSAJ") self.assertEqual(finding.severity, "Medium") self.assertIsNone(finding.cve) self.assertEqual(finding.unique_id_from_tool, "DASFMMFKLNKDSAKFSDLANJKKFDSNJSAKDFNJKDFS=") def test_parse_file_search(self): testfile = open("unittests/scans/github_vulnerability/github_search.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(2, len(findings)) for finding in findings: finding.clean() with self.subTest(i=0): finding = findings[0] self.assertEqual(finding.title, "Deserialization of Untrusted Data in Log4j") self.assertEqual(finding.severity, "Critical") self.assertEqual(finding.cve, "CVE-2019-17571") self.assertEqual(finding.component_name, "log4j:log4j") self.assertEqual(finding.unique_id_from_tool, "MDI4OlJlcG9zaXRvcnlWdWxuZXJhYmlsaXR5QWxlcnQyMDg2Nzc5NzY=") with self.subTest(i=1): finding = findings[1] self.assertEqual(finding.title, "Deserialization of Untrusted Data in Log4j") self.assertEqual(finding.severity, "Critical") self.assertEqual(finding.cve, "CVE-2019-17571") self.assertEqual(finding.component_name, "log4j:log4j") self.assertEqual(finding.unique_id_from_tool, "MDI4OlJlcG9zaXRvcnlWdWxuZXJhYmlsaXR5QWxlcnQ1NTE5NTI2OTM=") def test_parse_file_search2(self): """Search result with more data/attributes""" testfile = open("unittests/scans/github_vulnerability/github_search2.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(2, len(findings)) for finding in findings: finding.clean() with self.subTest(i=0): finding = findings[0] self.assertEqual(finding.title, "Deserialization of Untrusted Data in Log4j") self.assertEqual(finding.severity, "Critical") self.assertEqual(finding.cve, "CVE-2019-17571") self.assertEqual(finding.component_name, "log4j:log4j") self.assertEqual(finding.unique_id_from_tool, "MDI4OlJlcG9zaXRvcnlWdWxuZXJhYmlsaXR5QWxlcnQyMDg2Nzc5NzY=") with self.subTest(i=1): finding = findings[1] self.assertEqual(finding.title, "Deserialization of Untrusted Data in Log4j") self.assertEqual(finding.severity, "Critical") self.assertEqual(finding.cve, "CVE-2019-17571") self.assertEqual(finding.component_name, "log4j:log4j") self.assertEqual(finding.unique_id_from_tool, "MDI4OlJlcG9zaXRvcnlWdWxuZXJhYmlsaXR5QWxlcnQ1NTE5NTI2OTM=") def test_parse_file_search3(self): """Search result with more data/attributes""" testfile = open("unittests/scans/github_vulnerability/github_search3.json") parser = GithubVulnerabilityParser() findings = parser.get_findings(testfile, Test()) self.assertEqual(2, len(findings)) for finding in findings: finding.clean() with self.subTest(i=0): finding = findings[0] self.assertEqual(finding.title, "Deserialization of Untrusted Data in Log4j") self.assertEqual(finding.severity, "Critical") self.assertEqual(finding.cve, "CVE-2019-17571") self.assertEqual(finding.component_name, "log4j:log4j") self.assertEqual(finding.cvssv3, "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H") self.assertEqual(finding.file_path, "gogoph-crawler/pom.xml") self.assertEqual(finding.unique_id_from_tool, "MDI4OlJlcG9zaXRvcnlWdWxuZXJhYmlsaXR5QWxlcnQyMDg2Nzc5NzY=") with self.subTest(i=1): finding = findings[1] self.assertEqual(finding.title, "Deserialization of Untrusted Data in Log4j") self.assertEqual(finding.severity, "Critical") self.assertEqual(finding.cve, "CVE-2019-17571") self.assertEqual(finding.component_name, "log4j:log4j") self.assertEqual(finding.cvssv3, "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H") self.assertEqual(finding.file_path, "gogoph/pom.xml") self.assertEqual(finding.unique_id_from_tool, "MDI4OlJlcG9zaXRvcnlWdWxuZXJhYmlsaXR5QWxlcnQ1NTE5NTI2OTM=")

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null

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18293537f608d6098513d494708cfe87500a8f19

1,100

py

Python

finrl_meta/env_execution_optimizing/order_execution_qlib/trade/action/action_rule.py

eitin-infant/FinRL-Meta

4c94011e58425796e7e2e5c1bf848afd65c828d6

[ "MIT" ]

214

2021-11-08T17:06:11.000Z

2022-03-31T18:29:48.000Z

finrl_meta/env_execution_optimizing/order_execution_qlib/trade/action/action_rule.py

eitin-infant/FinRL-Meta

4c94011e58425796e7e2e5c1bf848afd65c828d6

[ "MIT" ]

51

2021-11-14T19:11:02.000Z

2022-03-30T20:23:08.000Z

finrl_meta/env_execution_optimizing/order_execution_qlib/trade/action/action_rule.py

eitin-infant/FinRL-Meta

4c94011e58425796e7e2e5c1bf848afd65c828d6

[ "MIT" ]

110

2021-11-03T07:41:40.000Z

2022-03-31T03:23:38.000Z

import numpy as np from gym.spaces import Discrete, Box, Tuple, MultiDiscrete from .base import Base_Action class Rule_Dynamic(Base_Action): """ """ def get_space(self): """ """ return Box(0, np.inf, shape=(), dtype=np.float32) def get_action(self, action, target, position, max_step_num, t, **kargs): """ :param action: param target: :param position: param max_step_num: :param t: param **kargs: :param target: :param max_step_num: :param **kargs: """ return position / (max_step_num - (t + 1)) * action class Rule_Static(Base_Action): """ """ def get_space(self): """ """ return Box(0, np.inf, shape=(), dtype=np.float32) def get_action(self, action, target, position, max_step_num, t, **kargs): """ :param action: param target: :param position: param max_step_num: :param t: param **kargs: :param target: :param max_step_num: :param **kargs: """ return target / max_step_num * action

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1,100

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null

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1

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1

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7

43ed97d89da66f52bdaf3d4f89d52ae7aa00db7d

171,140

py

Python

codec/gen_py/test_enclose/__init__.py

jjhesk/TrustVault

a0e8a9b3f2ae945f6f9f22eecc6a7fd4456cd206

[ "MIT" ]

null

codec/gen_py/test_enclose/__init__.py

jjhesk/TrustVault

a0e8a9b3f2ae945f6f9f22eecc6a7fd4456cd206

[ "MIT" ]

null

codec/gen_py/test_enclose/__init__.py

jjhesk/TrustVault

a0e8a9b3f2ae945f6f9f22eecc6a7fd4456cd206

[ "MIT" ]

null

"""Generated wrapper for TestEnclose Solidity contract.""" # pylint: disable=too-many-arguments import json from typing import ( # pylint: disable=unused-import Any, List, Optional, Tuple, Union, ) import time from eth_utils import to_checksum_address from mypy_extensions import TypedDict # pylint: disable=unused-import from hexbytes import HexBytes from web3 import Web3 from web3.contract import ContractFunction from web3.datastructures import AttributeDict from web3.providers.base import BaseProvider from web3.exceptions import ContractLogicError from moody.m.bases import ContractMethod, Validator, ContractBase, Signatures from moody.m.tx_params import TxParams from moody.libeb import MiliDoS from moody import Bolors # Try to import a custom validator class definition; if there isn't one, # declare one that we can instantiate for the default argument to the # constructor for TestEnclose below. try: # both mypy and pylint complain about what we're doing here, but this # works just fine, so their messages have been disabled here. from . import ( # type: ignore # pylint: disable=import-self TestEncloseValidator, ) except ImportError: class TestEncloseValidator( # type: ignore Validator ): """No-op input validator.""" try: from .middleware import MIDDLEWARE # type: ignore except ImportError: pass class DefaultAdminRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the DEFAULT_ADMIN_ROLE method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("DEFAULT_ADMIN_ROLE") def block_call(self, debug:bool=False) -> Union[bytes, str]: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return Union[bytes, str](returned) def block_send(self, _valeth:int=0) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("default_admin_role", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: default_admin_role") message = f"Error {er}: default_admin_role" self._on_fail("default_admin_role", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, default_admin_role: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, default_admin_role. Reason: Unknown") self._on_fail("default_admin_role", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class AddGovernorMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the addGovernor method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("addGovernor") def validate_and_normalize_inputs(self, account: str)->any: """Validate the inputs to the addGovernor method.""" self.validator.assert_valid( method_name='addGovernor', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def block_send(self, account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("add_governor", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: add_governor") message = f"Error {er}: add_governor" self._on_fail("add_governor", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, add_governor: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, add_governor. Reason: Unknown") self._on_fail("add_governor", message) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class AddWhitelistAdminMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the addWhitelistAdmin method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("addWhitelistAdmin") def validate_and_normalize_inputs(self, account: str)->any: """Validate the inputs to the addWhitelistAdmin method.""" self.validator.assert_valid( method_name='addWhitelistAdmin', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def block_send(self, account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("add_whitelist_admin", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: add_whitelist_admin") message = f"Error {er}: add_whitelist_admin" self._on_fail("add_whitelist_admin", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, add_whitelist_admin: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, add_whitelist_admin. Reason: Unknown") self._on_fail("add_whitelist_admin", message) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class CoinUserVaultMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the coin_user_vault method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("coin_user_vault") def validate_and_normalize_inputs(self, index_0: Union[bytes, str])->any: """Validate the inputs to the coin_user_vault method.""" self.validator.assert_valid( method_name='coin_user_vault', parameter_name='index_0', argument_value=index_0, ) return (index_0) def block_call(self,index_0: Union[bytes, str], debug:bool=False) -> int: _fn = self._underlying_method(index_0) returned = _fn.call({ 'from': self._operate }) return int(returned) def block_send(self, index_0: Union[bytes, str],_valeth:int=0) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(index_0) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("coin_user_vault", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: coin_user_vault") message = f"Error {er}: coin_user_vault" self._on_fail("coin_user_vault", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, coin_user_vault: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, coin_user_vault. Reason: Unknown") self._on_fail("coin_user_vault", message) def send_transaction(self, index_0: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (index_0) = self.validate_and_normalize_inputs(index_0) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(index_0).transact(tx_params.as_dict()) def build_transaction(self, index_0: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (index_0) = self.validate_and_normalize_inputs(index_0) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(index_0).buildTransaction(tx_params.as_dict()) def estimate_gas(self, index_0: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (index_0) = self.validate_and_normalize_inputs(index_0) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(index_0).estimateGas(tx_params.as_dict()) class CoinUserVault2Method(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the coin_user_vault2 method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("coin_user_vault2") def validate_and_normalize_inputs(self, index_0: str, index_1: str)->any: """Validate the inputs to the coin_user_vault2 method.""" self.validator.assert_valid( method_name='coin_user_vault2', parameter_name='index_0', argument_value=index_0, ) index_0 = self.validate_and_checksum_address(index_0) self.validator.assert_valid( method_name='coin_user_vault2', parameter_name='index_1', argument_value=index_1, ) index_1 = self.validate_and_checksum_address(index_1) return (index_0, index_1) def block_call(self,index_0: str, index_1: str, debug:bool=False) -> int: _fn = self._underlying_method(index_0, index_1) returned = _fn.call({ 'from': self._operate }) return int(returned) def block_send(self, index_0: str, index_1: str,_valeth:int=0) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(index_0, index_1) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("coin_user_vault2", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: coin_user_vault2") message = f"Error {er}: coin_user_vault2" self._on_fail("coin_user_vault2", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, coin_user_vault2: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, coin_user_vault2. Reason: Unknown") self._on_fail("coin_user_vault2", message) def send_transaction(self, index_0: str, index_1: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (index_0, index_1) = self.validate_and_normalize_inputs(index_0, index_1) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(index_0, index_1).transact(tx_params.as_dict()) def build_transaction(self, index_0: str, index_1: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (index_0, index_1) = self.validate_and_normalize_inputs(index_0, index_1) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(index_0, index_1).buildTransaction(tx_params.as_dict()) def estimate_gas(self, index_0: str, index_1: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (index_0, index_1) = self.validate_and_normalize_inputs(index_0, index_1) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(index_0, index_1).estimateGas(tx_params.as_dict()) class DepositErc20Method(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the deposit_erc20 method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("deposit_erc20") def validate_and_normalize_inputs(self, coin: str, amount: int)->any: """Validate the inputs to the deposit_erc20 method.""" self.validator.assert_valid( method_name='deposit_erc20', parameter_name='coin', argument_value=coin, ) coin = self.validate_and_checksum_address(coin) self.validator.assert_valid( method_name='deposit_erc20', parameter_name='amount', argument_value=amount, ) # safeguard against fractional inputs amount = int(amount) return (coin, amount) def block_send(self, coin: str, amount: int,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(coin, amount) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("deposit_erc20", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: deposit_erc20") message = f"Error {er}: deposit_erc20" self._on_fail("deposit_erc20", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, deposit_erc20: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, deposit_erc20. Reason: Unknown") self._on_fail("deposit_erc20", message) def send_transaction(self, coin: str, amount: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (coin, amount) = self.validate_and_normalize_inputs(coin, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(coin, amount).transact(tx_params.as_dict()) def build_transaction(self, coin: str, amount: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (coin, amount) = self.validate_and_normalize_inputs(coin, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(coin, amount).buildTransaction(tx_params.as_dict()) def estimate_gas(self, coin: str, amount: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (coin, amount) = self.validate_and_normalize_inputs(coin, amount) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(coin, amount).estimateGas(tx_params.as_dict()) class GetRoleAdminMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the getRoleAdmin method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("getRoleAdmin") def validate_and_normalize_inputs(self, role: Union[bytes, str])->any: """Validate the inputs to the getRoleAdmin method.""" self.validator.assert_valid( method_name='getRoleAdmin', parameter_name='role', argument_value=role, ) return (role) def block_call(self,role: Union[bytes, str], debug:bool=False) -> Union[bytes, str]: _fn = self._underlying_method(role) returned = _fn.call({ 'from': self._operate }) return Union[bytes, str](returned) def block_send(self, role: Union[bytes, str],_valeth:int=0) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("get_role_admin", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: get_role_admin") message = f"Error {er}: get_role_admin" self._on_fail("get_role_admin", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, get_role_admin: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, get_role_admin. Reason: Unknown") self._on_fail("get_role_admin", message) def send_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).estimateGas(tx_params.as_dict()) class GetRoleMemberMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the getRoleMember method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("getRoleMember") def validate_and_normalize_inputs(self, role: Union[bytes, str], index: int)->any: """Validate the inputs to the getRoleMember method.""" self.validator.assert_valid( method_name='getRoleMember', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='getRoleMember', parameter_name='index', argument_value=index, ) # safeguard against fractional inputs index = int(index) return (role, index) def block_call(self,role: Union[bytes, str], index: int, debug:bool=False) -> str: _fn = self._underlying_method(role, index) returned = _fn.call({ 'from': self._operate }) return str(returned) def block_send(self, role: Union[bytes, str], index: int,_valeth:int=0) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role, index) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("get_role_member", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: get_role_member") message = f"Error {er}: get_role_member" self._on_fail("get_role_member", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, get_role_member: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, get_role_member. Reason: Unknown") self._on_fail("get_role_member", message) def send_transaction(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, index).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, index).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], index: int, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, index) = self.validate_and_normalize_inputs(role, index) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, index).estimateGas(tx_params.as_dict()) class GetRoleMemberCountMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the getRoleMemberCount method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("getRoleMemberCount") def validate_and_normalize_inputs(self, role: Union[bytes, str])->any: """Validate the inputs to the getRoleMemberCount method.""" self.validator.assert_valid( method_name='getRoleMemberCount', parameter_name='role', argument_value=role, ) return (role) def block_call(self,role: Union[bytes, str], debug:bool=False) -> int: _fn = self._underlying_method(role) returned = _fn.call({ 'from': self._operate }) return int(returned) def block_send(self, role: Union[bytes, str],_valeth:int=0) -> int: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("get_role_member_count", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: get_role_member_count") message = f"Error {er}: get_role_member_count" self._on_fail("get_role_member_count", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, get_role_member_count: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, get_role_member_count. Reason: Unknown") self._on_fail("get_role_member_count", message) def send_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role) = self.validate_and_normalize_inputs(role) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role).estimateGas(tx_params.as_dict()) class GovernorMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the governor method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("governor") def block_call(self, debug:bool=False) -> Union[bytes, str]: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return Union[bytes, str](returned) def block_send(self, _valeth:int=0) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("governor", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: governor") message = f"Error {er}: governor" self._on_fail("governor", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, governor: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, governor. Reason: Unknown") self._on_fail("governor", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class GrantRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the grantRole method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("grantRole") def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str)->any: """Validate the inputs to the grantRole method.""" self.validator.assert_valid( method_name='grantRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='grantRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def block_send(self, role: Union[bytes, str], account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role, account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("grant_role", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: grant_role") message = f"Error {er}: grant_role" self._on_fail("grant_role", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, grant_role: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, grant_role. Reason: Unknown") self._on_fail("grant_role", message) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class HasRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the hasRole method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("hasRole") def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str)->any: """Validate the inputs to the hasRole method.""" self.validator.assert_valid( method_name='hasRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='hasRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def block_call(self,role: Union[bytes, str], account: str, debug:bool=False) -> bool: _fn = self._underlying_method(role, account) returned = _fn.call({ 'from': self._operate }) return bool(returned) def block_send(self, role: Union[bytes, str], account: str,_valeth:int=0) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role, account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("has_role", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: has_role") message = f"Error {er}: has_role" self._on_fail("has_role", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, has_role: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, has_role. Reason: Unknown") self._on_fail("has_role", message) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class IsGovernorMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isGovernor method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("isGovernor") def validate_and_normalize_inputs(self, account: str)->any: """Validate the inputs to the isGovernor method.""" self.validator.assert_valid( method_name='isGovernor', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def block_call(self,account: str, debug:bool=False) -> bool: _fn = self._underlying_method(account) returned = _fn.call({ 'from': self._operate }) return bool(returned) def block_send(self, account: str,_valeth:int=0) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("is_governor", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: is_governor") message = f"Error {er}: is_governor" self._on_fail("is_governor", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_governor: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_governor. Reason: Unknown") self._on_fail("is_governor", message) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class IsLockedMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isLocked method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("isLocked") def block_call(self, debug:bool=False) -> bool: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return bool(returned) def block_send(self, _valeth:int=0) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("is_locked", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: is_locked") message = f"Error {er}: is_locked" self._on_fail("is_locked", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_locked: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_locked. Reason: Unknown") self._on_fail("is_locked", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class IsOwnerMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isOwner method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("isOwner") def block_call(self, debug:bool=False) -> bool: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return bool(returned) def block_send(self, _valeth:int=0) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("is_owner", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: is_owner") message = f"Error {er}: is_owner" self._on_fail("is_owner", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_owner: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_owner. Reason: Unknown") self._on_fail("is_owner", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class IsPausedMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isPaused method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("isPaused") def block_call(self, debug:bool=False) -> bool: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return bool(returned) def block_send(self, _valeth:int=0) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("is_paused", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: is_paused") message = f"Error {er}: is_paused" self._on_fail("is_paused", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_paused: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_paused. Reason: Unknown") self._on_fail("is_paused", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class IsWhitelistAdminMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the isWhitelistAdmin method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("isWhitelistAdmin") def validate_and_normalize_inputs(self, account: str)->any: """Validate the inputs to the isWhitelistAdmin method.""" self.validator.assert_valid( method_name='isWhitelistAdmin', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def block_call(self,account: str, debug:bool=False) -> bool: _fn = self._underlying_method(account) returned = _fn.call({ 'from': self._operate }) return bool(returned) def block_send(self, account: str,_valeth:int=0) -> bool: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("is_whitelist_admin", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: is_whitelist_admin") message = f"Error {er}: is_whitelist_admin" self._on_fail("is_whitelist_admin", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_whitelist_admin: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, is_whitelist_admin. Reason: Unknown") self._on_fail("is_whitelist_admin", message) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class LockMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the lock method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("lock") def block_send(self, _valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("lock", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: lock") message = f"Error {er}: lock" self._on_fail("lock", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, lock: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, lock. Reason: Unknown") self._on_fail("lock", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class OwnerMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the owner method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("owner") def block_call(self, debug:bool=False) -> str: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return str(returned) def block_send(self, _valeth:int=0) -> str: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("owner", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: owner") message = f"Error {er}: owner" self._on_fail("owner", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, owner: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, owner. Reason: Unknown") self._on_fail("owner", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class PauseScMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the pauseSc method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("pauseSc") def block_send(self, _valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("pause_sc", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: pause_sc") message = f"Error {er}: pause_sc" self._on_fail("pause_sc", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, pause_sc: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, pause_sc. Reason: Unknown") self._on_fail("pause_sc", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class RemoveGovernorMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the removeGovernor method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("removeGovernor") def validate_and_normalize_inputs(self, account: str)->any: """Validate the inputs to the removeGovernor method.""" self.validator.assert_valid( method_name='removeGovernor', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def block_send(self, account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("remove_governor", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: remove_governor") message = f"Error {er}: remove_governor" self._on_fail("remove_governor", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, remove_governor: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, remove_governor. Reason: Unknown") self._on_fail("remove_governor", message) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class RemoveWhitelistAdminMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the removeWhitelistAdmin method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("removeWhitelistAdmin") def validate_and_normalize_inputs(self, account: str)->any: """Validate the inputs to the removeWhitelistAdmin method.""" self.validator.assert_valid( method_name='removeWhitelistAdmin', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (account) def block_send(self, account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("remove_whitelist_admin", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: remove_whitelist_admin") message = f"Error {er}: remove_whitelist_admin" self._on_fail("remove_whitelist_admin", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, remove_whitelist_admin: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, remove_whitelist_admin. Reason: Unknown") self._on_fail("remove_whitelist_admin", message) def send_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).transact(tx_params.as_dict()) def build_transaction(self, account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (account) = self.validate_and_normalize_inputs(account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(account).estimateGas(tx_params.as_dict()) class RenounceOwnershipMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the renounceOwnership method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("renounceOwnership") def block_send(self, _valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("renounce_ownership", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: renounce_ownership") message = f"Error {er}: renounce_ownership" self._on_fail("renounce_ownership", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, renounce_ownership: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, renounce_ownership. Reason: Unknown") self._on_fail("renounce_ownership", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class RenounceRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the renounceRole method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("renounceRole") def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str)->any: """Validate the inputs to the renounceRole method.""" self.validator.assert_valid( method_name='renounceRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='renounceRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def block_send(self, role: Union[bytes, str], account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role, account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("renounce_role", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: renounce_role") message = f"Error {er}: renounce_role" self._on_fail("renounce_role", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, renounce_role: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, renounce_role. Reason: Unknown") self._on_fail("renounce_role", message) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class RevokeRoleMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the revokeRole method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("revokeRole") def validate_and_normalize_inputs(self, role: Union[bytes, str], account: str)->any: """Validate the inputs to the revokeRole method.""" self.validator.assert_valid( method_name='revokeRole', parameter_name='role', argument_value=role, ) self.validator.assert_valid( method_name='revokeRole', parameter_name='account', argument_value=account, ) account = self.validate_and_checksum_address(account) return (role, account) def block_send(self, role: Union[bytes, str], account: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(role, account) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("revoke_role", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: revoke_role") message = f"Error {er}: revoke_role" self._on_fail("revoke_role", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, revoke_role: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, revoke_role. Reason: Unknown") self._on_fail("revoke_role", message) def send_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).transact(tx_params.as_dict()) def build_transaction(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).buildTransaction(tx_params.as_dict()) def estimate_gas(self, role: Union[bytes, str], account: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (role, account) = self.validate_and_normalize_inputs(role, account) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(role, account).estimateGas(tx_params.as_dict()) class SigMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the sig method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("sig") def validate_and_normalize_inputs(self, user: str, coin: str)->any: """Validate the inputs to the sig method.""" self.validator.assert_valid( method_name='sig', parameter_name='user', argument_value=user, ) user = self.validate_and_checksum_address(user) self.validator.assert_valid( method_name='sig', parameter_name='coin', argument_value=coin, ) coin = self.validate_and_checksum_address(coin) return (user, coin) def block_call(self,user: str, coin: str, debug:bool=False) -> Union[bytes, str]: _fn = self._underlying_method(user, coin) returned = _fn.call({ 'from': self._operate }) return Union[bytes, str](returned) def block_send(self, user: str, coin: str,_valeth:int=0) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(user, coin) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("sig", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: sig") message = f"Error {er}: sig" self._on_fail("sig", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, sig: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, sig. Reason: Unknown") self._on_fail("sig", message) def send_transaction(self, user: str, coin: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (user, coin) = self.validate_and_normalize_inputs(user, coin) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(user, coin).transact(tx_params.as_dict()) def build_transaction(self, user: str, coin: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (user, coin) = self.validate_and_normalize_inputs(user, coin) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(user, coin).buildTransaction(tx_params.as_dict()) def estimate_gas(self, user: str, coin: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (user, coin) = self.validate_and_normalize_inputs(user, coin) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(user, coin).estimateGas(tx_params.as_dict()) class TransferOwnershipMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the transferOwnership method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address, validator) self._underlying_method = contract_function self.sign = validator.getSignature("transferOwnership") def validate_and_normalize_inputs(self, new_owner: str)->any: """Validate the inputs to the transferOwnership method.""" self.validator.assert_valid( method_name='transferOwnership', parameter_name='newOwner', argument_value=new_owner, ) new_owner = self.validate_and_checksum_address(new_owner) return (new_owner) def block_send(self, new_owner: str,_valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method(new_owner) try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("transfer_ownership", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: transfer_ownership") message = f"Error {er}: transfer_ownership" self._on_fail("transfer_ownership", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, transfer_ownership: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, transfer_ownership. Reason: Unknown") self._on_fail("transfer_ownership", message) def send_transaction(self, new_owner: str, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ (new_owner) = self.validate_and_normalize_inputs(new_owner) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(new_owner).transact(tx_params.as_dict()) def build_transaction(self, new_owner: str, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" (new_owner) = self.validate_and_normalize_inputs(new_owner) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(new_owner).buildTransaction(tx_params.as_dict()) def estimate_gas(self, new_owner: str, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" (new_owner) = self.validate_and_normalize_inputs(new_owner) tx_params = super().normalize_tx_params(tx_params) return self._underlying_method(new_owner).estimateGas(tx_params.as_dict()) class UnlockMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the unlock method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("unlock") def block_send(self, _valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("unlock", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: unlock") message = f"Error {er}: unlock" self._on_fail("unlock", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, unlock: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, unlock. Reason: Unknown") self._on_fail("unlock", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class UnpauseScMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the unpauseSc method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("unpauseSc") def block_send(self, _valeth:int=0) -> None: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("unpause_sc", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: unpause_sc") message = f"Error {er}: unpause_sc" self._on_fail("unpause_sc", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, unpause_sc: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, unpause_sc. Reason: Unknown") self._on_fail("unpause_sc", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class WhitelistAdminsMethod(ContractMethod): # pylint: disable=invalid-name """Various interfaces to the whitelistAdmins method.""" def __init__(self, elib: MiliDoS, contract_address: str, contract_function: ContractFunction, validator: Validator=None): """Persist instance data.""" super().__init__(elib, contract_address) self._underlying_method = contract_function self.sign = validator.getSignature("whitelistAdmins") def block_call(self, debug:bool=False) -> Union[bytes, str]: _fn = self._underlying_method() returned = _fn.call({ 'from': self._operate }) return Union[bytes, str](returned) def block_send(self, _valeth:int=0) -> Union[bytes, str]: """Execute underlying contract method via eth_call. :param tx_params: transaction parameters :returns: the return value of the underlying method. """ _fn = self._underlying_method() try: _t = _fn.buildTransaction({ 'from': self._operate, 'gas': self.gas_limit, 'gasPrice': self.gas_price_wei }) _t['nonce'] = self._web3_eth.getTransactionCount(self._operate) if _valeth > 0: _t['value'] = _valeth if self.debug_method: print(f"======== Signing ✅ by {self._operate}") print(f"======== Transaction ✅ check") print(_t) if 'data' in _t: signed = self._web3_eth.account.sign_transaction(_t) txHash = self._web3_eth.sendRawTransaction(signed.rawTransaction) tx_receipt = None if self.auto_reciept is True: print(f"======== awaiting Confirmation 🚸️ {self.sign}") tx_receipt = self._web3_eth.wait_for_transaction_receipt(txHash) if self.debug_method: print("======== TX Result ✅") print(tx_receipt) self._on_receipt_handle("whitelist_admins", tx_receipt, txHash) if self.auto_reciept is False: time.sleep(self._wait) except ContractLogicError as er: print(f"{Bolors.FAIL}Error {er} {Bolors.RESET}: whitelist_admins") message = f"Error {er}: whitelist_admins" self._on_fail("whitelist_admins", message) except ValueError as err: if "message" in err.args[0]: message = err.args[0]["message"] print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, whitelist_admins: {message}") else: message = "Error Revert , Reason: Unknown" print(f"{Bolors.FAIL}Error Revert {Bolors.RESET}, whitelist_admins. Reason: Unknown") self._on_fail("whitelist_admins", message) def send_transaction(self, tx_params: Optional[TxParams] = None) -> Union[HexBytes, bytes]: """Execute underlying contract method via eth_sendTransaction. :param tx_params: transaction parameters """ tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().transact(tx_params.as_dict()) def build_transaction(self, tx_params: Optional[TxParams] = None) -> dict: """Construct calldata to be used as input to the method.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().buildTransaction(tx_params.as_dict()) def estimate_gas(self, tx_params: Optional[TxParams] = None) -> int: """Estimate gas consumption of method call.""" tx_params = super().normalize_tx_params(tx_params) return self._underlying_method().estimateGas(tx_params.as_dict()) class SignatureGenerator(Signatures): """ The signature is generated for this and it is installed. """ def __init__(self, abi: any): super().__init__(abi) def default_admin_role(self) -> str: return self._function_signatures["DEFAULT_ADMIN_ROLE"] def add_governor(self) -> str: return self._function_signatures["addGovernor"] def add_whitelist_admin(self) -> str: return self._function_signatures["addWhitelistAdmin"] def coin_user_vault(self) -> str: return self._function_signatures["coin_user_vault"] def coin_user_vault2(self) -> str: return self._function_signatures["coin_user_vault2"] def deposit_erc20(self) -> str: return self._function_signatures["deposit_erc20"] def get_role_admin(self) -> str: return self._function_signatures["getRoleAdmin"] def get_role_member(self) -> str: return self._function_signatures["getRoleMember"] def get_role_member_count(self) -> str: return self._function_signatures["getRoleMemberCount"] def governor(self) -> str: return self._function_signatures["governor"] def grant_role(self) -> str: return self._function_signatures["grantRole"] def has_role(self) -> str: return self._function_signatures["hasRole"] def is_governor(self) -> str: return self._function_signatures["isGovernor"] def is_locked(self) -> str: return self._function_signatures["isLocked"] def is_owner(self) -> str: return self._function_signatures["isOwner"] def is_paused(self) -> str: return self._function_signatures["isPaused"] def is_whitelist_admin(self) -> str: return self._function_signatures["isWhitelistAdmin"] def lock(self) -> str: return self._function_signatures["lock"] def owner(self) -> str: return self._function_signatures["owner"] def pause_sc(self) -> str: return self._function_signatures["pauseSc"] def remove_governor(self) -> str: return self._function_signatures["removeGovernor"] def remove_whitelist_admin(self) -> str: return self._function_signatures["removeWhitelistAdmin"] def renounce_ownership(self) -> str: return self._function_signatures["renounceOwnership"] def renounce_role(self) -> str: return self._function_signatures["renounceRole"] def revoke_role(self) -> str: return self._function_signatures["revokeRole"] def sig(self) -> str: return self._function_signatures["sig"] def transfer_ownership(self) -> str: return self._function_signatures["transferOwnership"] def unlock(self) -> str: return self._function_signatures["unlock"] def unpause_sc(self) -> str: return self._function_signatures["unpauseSc"] def whitelist_admins(self) -> str: return self._function_signatures["whitelistAdmins"] # pylint: disable=too-many-public-methods,too-many-instance-attributes class TestEnclose(ContractBase): """Wrapper class for TestEnclose Solidity contract.""" _fn_default_admin_role: DefaultAdminRoleMethod """Constructor-initialized instance of :class:`DefaultAdminRoleMethod`. """ _fn_add_governor: AddGovernorMethod """Constructor-initialized instance of :class:`AddGovernorMethod`. """ _fn_add_whitelist_admin: AddWhitelistAdminMethod """Constructor-initialized instance of :class:`AddWhitelistAdminMethod`. """ _fn_coin_user_vault: CoinUserVaultMethod """Constructor-initialized instance of :class:`CoinUserVaultMethod`. """ _fn_coin_user_vault2: CoinUserVault2Method """Constructor-initialized instance of :class:`CoinUserVault2Method`. """ _fn_deposit_erc20: DepositErc20Method """Constructor-initialized instance of :class:`DepositErc20Method`. """ _fn_get_role_admin: GetRoleAdminMethod """Constructor-initialized instance of :class:`GetRoleAdminMethod`. """ _fn_get_role_member: GetRoleMemberMethod """Constructor-initialized instance of :class:`GetRoleMemberMethod`. """ _fn_get_role_member_count: GetRoleMemberCountMethod """Constructor-initialized instance of :class:`GetRoleMemberCountMethod`. """ _fn_governor: GovernorMethod """Constructor-initialized instance of :class:`GovernorMethod`. """ _fn_grant_role: GrantRoleMethod """Constructor-initialized instance of :class:`GrantRoleMethod`. """ _fn_has_role: HasRoleMethod """Constructor-initialized instance of :class:`HasRoleMethod`. """ _fn_is_governor: IsGovernorMethod """Constructor-initialized instance of :class:`IsGovernorMethod`. """ _fn_is_locked: IsLockedMethod """Constructor-initialized instance of :class:`IsLockedMethod`. """ _fn_is_owner: IsOwnerMethod """Constructor-initialized instance of :class:`IsOwnerMethod`. """ _fn_is_paused: IsPausedMethod """Constructor-initialized instance of :class:`IsPausedMethod`. """ _fn_is_whitelist_admin: IsWhitelistAdminMethod """Constructor-initialized instance of :class:`IsWhitelistAdminMethod`. """ _fn_lock: LockMethod """Constructor-initialized instance of :class:`LockMethod`. """ _fn_owner: OwnerMethod """Constructor-initialized instance of :class:`OwnerMethod`. """ _fn_pause_sc: PauseScMethod """Constructor-initialized instance of :class:`PauseScMethod`. """ _fn_remove_governor: RemoveGovernorMethod """Constructor-initialized instance of :class:`RemoveGovernorMethod`. """ _fn_remove_whitelist_admin: RemoveWhitelistAdminMethod """Constructor-initialized instance of :class:`RemoveWhitelistAdminMethod`. """ _fn_renounce_ownership: RenounceOwnershipMethod """Constructor-initialized instance of :class:`RenounceOwnershipMethod`. """ _fn_renounce_role: RenounceRoleMethod """Constructor-initialized instance of :class:`RenounceRoleMethod`. """ _fn_revoke_role: RevokeRoleMethod """Constructor-initialized instance of :class:`RevokeRoleMethod`. """ _fn_sig: SigMethod """Constructor-initialized instance of :class:`SigMethod`. """ _fn_transfer_ownership: TransferOwnershipMethod """Constructor-initialized instance of :class:`TransferOwnershipMethod`. """ _fn_unlock: UnlockMethod """Constructor-initialized instance of :class:`UnlockMethod`. """ _fn_unpause_sc: UnpauseScMethod """Constructor-initialized instance of :class:`UnpauseScMethod`. """ _fn_whitelist_admins: WhitelistAdminsMethod """Constructor-initialized instance of :class:`WhitelistAdminsMethod`. """ SIGNATURES:SignatureGenerator = None def __init__( self, core_lib: MiliDoS, contract_address: str, validator: TestEncloseValidator = None, ): """Get an instance of wrapper for smart contract. """ # pylint: disable=too-many-statements super().__init__(contract_address, TestEnclose.abi()) web3 = core_lib.w3 if not validator: validator = TestEncloseValidator(web3, contract_address) # if any middleware was imported, inject it try: MIDDLEWARE except NameError: pass else: try: for middleware in MIDDLEWARE: web3.middleware_onion.inject( middleware['function'], layer=middleware['layer'], ) except ValueError as value_error: if value_error.args == ("You can't add the same un-named instance twice",): pass self._web3_eth = web3.eth functions = self._web3_eth.contract(address=to_checksum_address(contract_address), abi=TestEnclose.abi()).functions self._signatures = SignatureGenerator(TestEnclose.abi()) validator.bindSignatures(self._signatures) self._fn_default_admin_role = DefaultAdminRoleMethod(core_lib, contract_address, functions.DEFAULT_ADMIN_ROLE, validator) self._fn_add_governor = AddGovernorMethod(core_lib, contract_address, functions.addGovernor, validator) self._fn_add_whitelist_admin = AddWhitelistAdminMethod(core_lib, contract_address, functions.addWhitelistAdmin, validator) self._fn_coin_user_vault = CoinUserVaultMethod(core_lib, contract_address, functions.coin_user_vault, validator) self._fn_coin_user_vault2 = CoinUserVault2Method(core_lib, contract_address, functions.coin_user_vault2, validator) self._fn_deposit_erc20 = DepositErc20Method(core_lib, contract_address, functions.deposit_erc20, validator) self._fn_get_role_admin = GetRoleAdminMethod(core_lib, contract_address, functions.getRoleAdmin, validator) self._fn_get_role_member = GetRoleMemberMethod(core_lib, contract_address, functions.getRoleMember, validator) self._fn_get_role_member_count = GetRoleMemberCountMethod(core_lib, contract_address, functions.getRoleMemberCount, validator) self._fn_governor = GovernorMethod(core_lib, contract_address, functions.governor, validator) self._fn_grant_role = GrantRoleMethod(core_lib, contract_address, functions.grantRole, validator) self._fn_has_role = HasRoleMethod(core_lib, contract_address, functions.hasRole, validator) self._fn_is_governor = IsGovernorMethod(core_lib, contract_address, functions.isGovernor, validator) self._fn_is_locked = IsLockedMethod(core_lib, contract_address, functions.isLocked, validator) self._fn_is_owner = IsOwnerMethod(core_lib, contract_address, functions.isOwner, validator) self._fn_is_paused = IsPausedMethod(core_lib, contract_address, functions.isPaused, validator) self._fn_is_whitelist_admin = IsWhitelistAdminMethod(core_lib, contract_address, functions.isWhitelistAdmin, validator) self._fn_lock = LockMethod(core_lib, contract_address, functions.lock, validator) self._fn_owner = OwnerMethod(core_lib, contract_address, functions.owner, validator) self._fn_pause_sc = PauseScMethod(core_lib, contract_address, functions.pauseSc, validator) self._fn_remove_governor = RemoveGovernorMethod(core_lib, contract_address, functions.removeGovernor, validator) self._fn_remove_whitelist_admin = RemoveWhitelistAdminMethod(core_lib, contract_address, functions.removeWhitelistAdmin, validator) self._fn_renounce_ownership = RenounceOwnershipMethod(core_lib, contract_address, functions.renounceOwnership, validator) self._fn_renounce_role = RenounceRoleMethod(core_lib, contract_address, functions.renounceRole, validator) self._fn_revoke_role = RevokeRoleMethod(core_lib, contract_address, functions.revokeRole, validator) self._fn_sig = SigMethod(core_lib, contract_address, functions.sig, validator) self._fn_transfer_ownership = TransferOwnershipMethod(core_lib, contract_address, functions.transferOwnership, validator) self._fn_unlock = UnlockMethod(core_lib, contract_address, functions.unlock, validator) self._fn_unpause_sc = UnpauseScMethod(core_lib, contract_address, functions.unpauseSc, validator) self._fn_whitelist_admins = WhitelistAdminsMethod(core_lib, contract_address, functions.whitelistAdmins, validator) def event_ownership_transferred( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """ Implementation of event ownership_transferred in contract TestEnclose Get log entry for OwnershipTransferred event. :param tx_hash: hash of transaction emitting OwnershipTransferred event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=TestEnclose.abi()).events.OwnershipTransferred().processReceipt(tx_receipt) def event_role_granted( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """ Implementation of event role_granted in contract TestEnclose Get log entry for RoleGranted event. :param tx_hash: hash of transaction emitting RoleGranted event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=TestEnclose.abi()).events.RoleGranted().processReceipt(tx_receipt) def event_role_revoked( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """ Implementation of event role_revoked in contract TestEnclose Get log entry for RoleRevoked event. :param tx_hash: hash of transaction emitting RoleRevoked event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=TestEnclose.abi()).events.RoleRevoked().processReceipt(tx_receipt) def event_usr_deposit( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """ Implementation of event usr_deposit in contract TestEnclose Get log entry for UsrDeposit event. :param tx_hash: hash of transaction emitting UsrDeposit event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=TestEnclose.abi()).events.UsrDeposit().processReceipt(tx_receipt) def event_contract_paused( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """ Implementation of event contract_paused in contract TestEnclose Get log entry for contractPaused event. :param tx_hash: hash of transaction emitting contractPaused event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=TestEnclose.abi()).events.contractPaused().processReceipt(tx_receipt) def event_traillock( self, tx_hash: Union[HexBytes, bytes] ) -> Tuple[AttributeDict]: """ Implementation of event traillock in contract TestEnclose Get log entry for traillock event. :param tx_hash: hash of transaction emitting traillock event """ tx_receipt = self._web3_eth.getTransactionReceipt(tx_hash) return self._web3_eth.contract(address=to_checksum_address(self.contract_address), abi=TestEnclose.abi()).events.traillock().processReceipt(tx_receipt) def default_admin_role(self) -> Union[bytes, str]: """ Implementation of default_admin_role in contract TestEnclose Method of the function """ self._fn_default_admin_role.callback_onfail = self._callback_onfail self._fn_default_admin_role.callback_onsuccess = self._callback_onsuccess self._fn_default_admin_role.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_default_admin_role.gas_limit = self.call_contract_fee_amount self._fn_default_admin_role.gas_price_wei = self.call_contract_fee_price self._fn_default_admin_role.debug_method = self.call_contract_debug_flag return self._fn_default_admin_role.block_call() def add_governor(self, account: str) -> None: """ Implementation of add_governor in contract TestEnclose Method of the function """ self._fn_add_governor.callback_onfail = self._callback_onfail self._fn_add_governor.callback_onsuccess = self._callback_onsuccess self._fn_add_governor.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_add_governor.gas_limit = self.call_contract_fee_amount self._fn_add_governor.gas_price_wei = self.call_contract_fee_price self._fn_add_governor.debug_method = self.call_contract_debug_flag return self._fn_add_governor.block_send(account) def add_whitelist_admin(self, account: str) -> None: """ Implementation of add_whitelist_admin in contract TestEnclose Method of the function """ self._fn_add_whitelist_admin.callback_onfail = self._callback_onfail self._fn_add_whitelist_admin.callback_onsuccess = self._callback_onsuccess self._fn_add_whitelist_admin.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_add_whitelist_admin.gas_limit = self.call_contract_fee_amount self._fn_add_whitelist_admin.gas_price_wei = self.call_contract_fee_price self._fn_add_whitelist_admin.debug_method = self.call_contract_debug_flag return self._fn_add_whitelist_admin.block_send(account) def coin_user_vault(self, index_0: Union[bytes, str]) -> int: """ Implementation of coin_user_vault in contract TestEnclose Method of the function """ self._fn_coin_user_vault.callback_onfail = self._callback_onfail self._fn_coin_user_vault.callback_onsuccess = self._callback_onsuccess self._fn_coin_user_vault.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_coin_user_vault.gas_limit = self.call_contract_fee_amount self._fn_coin_user_vault.gas_price_wei = self.call_contract_fee_price self._fn_coin_user_vault.debug_method = self.call_contract_debug_flag return self._fn_coin_user_vault.block_call(index_0) def coin_user_vault2(self, index_0: str, index_1: str) -> int: """ Implementation of coin_user_vault2 in contract TestEnclose Method of the function """ self._fn_coin_user_vault2.callback_onfail = self._callback_onfail self._fn_coin_user_vault2.callback_onsuccess = self._callback_onsuccess self._fn_coin_user_vault2.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_coin_user_vault2.gas_limit = self.call_contract_fee_amount self._fn_coin_user_vault2.gas_price_wei = self.call_contract_fee_price self._fn_coin_user_vault2.debug_method = self.call_contract_debug_flag return self._fn_coin_user_vault2.block_call(index_0, index_1) def deposit_erc20(self, coin: str, amount: int) -> None: """ Implementation of deposit_erc20 in contract TestEnclose Method of the function """ self._fn_deposit_erc20.callback_onfail = self._callback_onfail self._fn_deposit_erc20.callback_onsuccess = self._callback_onsuccess self._fn_deposit_erc20.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_deposit_erc20.gas_limit = self.call_contract_fee_amount self._fn_deposit_erc20.gas_price_wei = self.call_contract_fee_price self._fn_deposit_erc20.debug_method = self.call_contract_debug_flag return self._fn_deposit_erc20.block_send(coin, amount) def get_role_admin(self, role: Union[bytes, str]) -> Union[bytes, str]: """ Implementation of get_role_admin in contract TestEnclose Method of the function """ self._fn_get_role_admin.callback_onfail = self._callback_onfail self._fn_get_role_admin.callback_onsuccess = self._callback_onsuccess self._fn_get_role_admin.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_get_role_admin.gas_limit = self.call_contract_fee_amount self._fn_get_role_admin.gas_price_wei = self.call_contract_fee_price self._fn_get_role_admin.debug_method = self.call_contract_debug_flag return self._fn_get_role_admin.block_call(role) def get_role_member(self, role: Union[bytes, str], index: int) -> str: """ Implementation of get_role_member in contract TestEnclose Method of the function """ self._fn_get_role_member.callback_onfail = self._callback_onfail self._fn_get_role_member.callback_onsuccess = self._callback_onsuccess self._fn_get_role_member.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_get_role_member.gas_limit = self.call_contract_fee_amount self._fn_get_role_member.gas_price_wei = self.call_contract_fee_price self._fn_get_role_member.debug_method = self.call_contract_debug_flag return self._fn_get_role_member.block_call(role, index) def get_role_member_count(self, role: Union[bytes, str]) -> int: """ Implementation of get_role_member_count in contract TestEnclose Method of the function """ self._fn_get_role_member_count.callback_onfail = self._callback_onfail self._fn_get_role_member_count.callback_onsuccess = self._callback_onsuccess self._fn_get_role_member_count.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_get_role_member_count.gas_limit = self.call_contract_fee_amount self._fn_get_role_member_count.gas_price_wei = self.call_contract_fee_price self._fn_get_role_member_count.debug_method = self.call_contract_debug_flag return self._fn_get_role_member_count.block_call(role) def governor(self) -> Union[bytes, str]: """ Implementation of governor in contract TestEnclose Method of the function """ self._fn_governor.callback_onfail = self._callback_onfail self._fn_governor.callback_onsuccess = self._callback_onsuccess self._fn_governor.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_governor.gas_limit = self.call_contract_fee_amount self._fn_governor.gas_price_wei = self.call_contract_fee_price self._fn_governor.debug_method = self.call_contract_debug_flag return self._fn_governor.block_call() def grant_role(self, role: Union[bytes, str], account: str) -> None: """ Implementation of grant_role in contract TestEnclose Method of the function """ self._fn_grant_role.callback_onfail = self._callback_onfail self._fn_grant_role.callback_onsuccess = self._callback_onsuccess self._fn_grant_role.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_grant_role.gas_limit = self.call_contract_fee_amount self._fn_grant_role.gas_price_wei = self.call_contract_fee_price self._fn_grant_role.debug_method = self.call_contract_debug_flag return self._fn_grant_role.block_send(role, account) def has_role(self, role: Union[bytes, str], account: str) -> bool: """ Implementation of has_role in contract TestEnclose Method of the function """ self._fn_has_role.callback_onfail = self._callback_onfail self._fn_has_role.callback_onsuccess = self._callback_onsuccess self._fn_has_role.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_has_role.gas_limit = self.call_contract_fee_amount self._fn_has_role.gas_price_wei = self.call_contract_fee_price self._fn_has_role.debug_method = self.call_contract_debug_flag return self._fn_has_role.block_call(role, account) def is_governor(self, account: str) -> bool: """ Implementation of is_governor in contract TestEnclose Method of the function """ self._fn_is_governor.callback_onfail = self._callback_onfail self._fn_is_governor.callback_onsuccess = self._callback_onsuccess self._fn_is_governor.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_is_governor.gas_limit = self.call_contract_fee_amount self._fn_is_governor.gas_price_wei = self.call_contract_fee_price self._fn_is_governor.debug_method = self.call_contract_debug_flag return self._fn_is_governor.block_call(account) def is_locked(self) -> bool: """ Implementation of is_locked in contract TestEnclose Method of the function """ self._fn_is_locked.callback_onfail = self._callback_onfail self._fn_is_locked.callback_onsuccess = self._callback_onsuccess self._fn_is_locked.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_is_locked.gas_limit = self.call_contract_fee_amount self._fn_is_locked.gas_price_wei = self.call_contract_fee_price self._fn_is_locked.debug_method = self.call_contract_debug_flag return self._fn_is_locked.block_call() def is_owner(self) -> bool: """ Implementation of is_owner in contract TestEnclose Method of the function """ self._fn_is_owner.callback_onfail = self._callback_onfail self._fn_is_owner.callback_onsuccess = self._callback_onsuccess self._fn_is_owner.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_is_owner.gas_limit = self.call_contract_fee_amount self._fn_is_owner.gas_price_wei = self.call_contract_fee_price self._fn_is_owner.debug_method = self.call_contract_debug_flag return self._fn_is_owner.block_call() def is_paused(self) -> bool: """ Implementation of is_paused in contract TestEnclose Method of the function """ self._fn_is_paused.callback_onfail = self._callback_onfail self._fn_is_paused.callback_onsuccess = self._callback_onsuccess self._fn_is_paused.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_is_paused.gas_limit = self.call_contract_fee_amount self._fn_is_paused.gas_price_wei = self.call_contract_fee_price self._fn_is_paused.debug_method = self.call_contract_debug_flag return self._fn_is_paused.block_call() def is_whitelist_admin(self, account: str) -> bool: """ Implementation of is_whitelist_admin in contract TestEnclose Method of the function """ self._fn_is_whitelist_admin.callback_onfail = self._callback_onfail self._fn_is_whitelist_admin.callback_onsuccess = self._callback_onsuccess self._fn_is_whitelist_admin.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_is_whitelist_admin.gas_limit = self.call_contract_fee_amount self._fn_is_whitelist_admin.gas_price_wei = self.call_contract_fee_price self._fn_is_whitelist_admin.debug_method = self.call_contract_debug_flag return self._fn_is_whitelist_admin.block_call(account) def lock(self) -> None: """ Implementation of lock in contract TestEnclose Method of the function """ self._fn_lock.callback_onfail = self._callback_onfail self._fn_lock.callback_onsuccess = self._callback_onsuccess self._fn_lock.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_lock.gas_limit = self.call_contract_fee_amount self._fn_lock.gas_price_wei = self.call_contract_fee_price self._fn_lock.debug_method = self.call_contract_debug_flag return self._fn_lock.block_send() def owner(self) -> str: """ Implementation of owner in contract TestEnclose Method of the function """ self._fn_owner.callback_onfail = self._callback_onfail self._fn_owner.callback_onsuccess = self._callback_onsuccess self._fn_owner.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_owner.gas_limit = self.call_contract_fee_amount self._fn_owner.gas_price_wei = self.call_contract_fee_price self._fn_owner.debug_method = self.call_contract_debug_flag return self._fn_owner.block_call() def pause_sc(self) -> None: """ Implementation of pause_sc in contract TestEnclose Method of the function """ self._fn_pause_sc.callback_onfail = self._callback_onfail self._fn_pause_sc.callback_onsuccess = self._callback_onsuccess self._fn_pause_sc.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_pause_sc.gas_limit = self.call_contract_fee_amount self._fn_pause_sc.gas_price_wei = self.call_contract_fee_price self._fn_pause_sc.debug_method = self.call_contract_debug_flag return self._fn_pause_sc.block_send() def remove_governor(self, account: str) -> None: """ Implementation of remove_governor in contract TestEnclose Method of the function """ self._fn_remove_governor.callback_onfail = self._callback_onfail self._fn_remove_governor.callback_onsuccess = self._callback_onsuccess self._fn_remove_governor.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_remove_governor.gas_limit = self.call_contract_fee_amount self._fn_remove_governor.gas_price_wei = self.call_contract_fee_price self._fn_remove_governor.debug_method = self.call_contract_debug_flag return self._fn_remove_governor.block_send(account) def remove_whitelist_admin(self, account: str) -> None: """ Implementation of remove_whitelist_admin in contract TestEnclose Method of the function """ self._fn_remove_whitelist_admin.callback_onfail = self._callback_onfail self._fn_remove_whitelist_admin.callback_onsuccess = self._callback_onsuccess self._fn_remove_whitelist_admin.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_remove_whitelist_admin.gas_limit = self.call_contract_fee_amount self._fn_remove_whitelist_admin.gas_price_wei = self.call_contract_fee_price self._fn_remove_whitelist_admin.debug_method = self.call_contract_debug_flag return self._fn_remove_whitelist_admin.block_send(account) def renounce_ownership(self) -> None: """ Implementation of renounce_ownership in contract TestEnclose Method of the function """ self._fn_renounce_ownership.callback_onfail = self._callback_onfail self._fn_renounce_ownership.callback_onsuccess = self._callback_onsuccess self._fn_renounce_ownership.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_renounce_ownership.gas_limit = self.call_contract_fee_amount self._fn_renounce_ownership.gas_price_wei = self.call_contract_fee_price self._fn_renounce_ownership.debug_method = self.call_contract_debug_flag return self._fn_renounce_ownership.block_send() def renounce_role(self, role: Union[bytes, str], account: str) -> None: """ Implementation of renounce_role in contract TestEnclose Method of the function """ self._fn_renounce_role.callback_onfail = self._callback_onfail self._fn_renounce_role.callback_onsuccess = self._callback_onsuccess self._fn_renounce_role.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_renounce_role.gas_limit = self.call_contract_fee_amount self._fn_renounce_role.gas_price_wei = self.call_contract_fee_price self._fn_renounce_role.debug_method = self.call_contract_debug_flag return self._fn_renounce_role.block_send(role, account) def revoke_role(self, role: Union[bytes, str], account: str) -> None: """ Implementation of revoke_role in contract TestEnclose Method of the function """ self._fn_revoke_role.callback_onfail = self._callback_onfail self._fn_revoke_role.callback_onsuccess = self._callback_onsuccess self._fn_revoke_role.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_revoke_role.gas_limit = self.call_contract_fee_amount self._fn_revoke_role.gas_price_wei = self.call_contract_fee_price self._fn_revoke_role.debug_method = self.call_contract_debug_flag return self._fn_revoke_role.block_send(role, account) def sig(self, user: str, coin: str) -> Union[bytes, str]: """ Implementation of sig in contract TestEnclose Method of the function """ self._fn_sig.callback_onfail = self._callback_onfail self._fn_sig.callback_onsuccess = self._callback_onsuccess self._fn_sig.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_sig.gas_limit = self.call_contract_fee_amount self._fn_sig.gas_price_wei = self.call_contract_fee_price self._fn_sig.debug_method = self.call_contract_debug_flag return self._fn_sig.block_call(user, coin) def transfer_ownership(self, new_owner: str) -> None: """ Implementation of transfer_ownership in contract TestEnclose Method of the function """ self._fn_transfer_ownership.callback_onfail = self._callback_onfail self._fn_transfer_ownership.callback_onsuccess = self._callback_onsuccess self._fn_transfer_ownership.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_transfer_ownership.gas_limit = self.call_contract_fee_amount self._fn_transfer_ownership.gas_price_wei = self.call_contract_fee_price self._fn_transfer_ownership.debug_method = self.call_contract_debug_flag return self._fn_transfer_ownership.block_send(new_owner) def unlock(self) -> None: """ Implementation of unlock in contract TestEnclose Method of the function """ self._fn_unlock.callback_onfail = self._callback_onfail self._fn_unlock.callback_onsuccess = self._callback_onsuccess self._fn_unlock.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_unlock.gas_limit = self.call_contract_fee_amount self._fn_unlock.gas_price_wei = self.call_contract_fee_price self._fn_unlock.debug_method = self.call_contract_debug_flag return self._fn_unlock.block_send() def unpause_sc(self) -> None: """ Implementation of unpause_sc in contract TestEnclose Method of the function """ self._fn_unpause_sc.callback_onfail = self._callback_onfail self._fn_unpause_sc.callback_onsuccess = self._callback_onsuccess self._fn_unpause_sc.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_unpause_sc.gas_limit = self.call_contract_fee_amount self._fn_unpause_sc.gas_price_wei = self.call_contract_fee_price self._fn_unpause_sc.debug_method = self.call_contract_debug_flag return self._fn_unpause_sc.block_send() def whitelist_admins(self) -> Union[bytes, str]: """ Implementation of whitelist_admins in contract TestEnclose Method of the function """ self._fn_whitelist_admins.callback_onfail = self._callback_onfail self._fn_whitelist_admins.callback_onsuccess = self._callback_onsuccess self._fn_whitelist_admins.auto_reciept = self.call_contract_enforce_tx_receipt self._fn_whitelist_admins.gas_limit = self.call_contract_fee_amount self._fn_whitelist_admins.gas_price_wei = self.call_contract_fee_price self._fn_whitelist_admins.debug_method = self.call_contract_debug_flag return self._fn_whitelist_admins.block_call() def CallContractWait(self, t_long:int)-> "TestEnclose": self._fn_default_admin_role.setWait(t_long) self._fn_add_governor.setWait(t_long) self._fn_add_whitelist_admin.setWait(t_long) self._fn_coin_user_vault.setWait(t_long) self._fn_coin_user_vault2.setWait(t_long) self._fn_deposit_erc20.setWait(t_long) self._fn_get_role_admin.setWait(t_long) self._fn_get_role_member.setWait(t_long) self._fn_get_role_member_count.setWait(t_long) self._fn_governor.setWait(t_long) self._fn_grant_role.setWait(t_long) self._fn_has_role.setWait(t_long) self._fn_is_governor.setWait(t_long) self._fn_is_locked.setWait(t_long) self._fn_is_owner.setWait(t_long) self._fn_is_paused.setWait(t_long) self._fn_is_whitelist_admin.setWait(t_long) self._fn_lock.setWait(t_long) self._fn_owner.setWait(t_long) self._fn_pause_sc.setWait(t_long) self._fn_remove_governor.setWait(t_long) self._fn_remove_whitelist_admin.setWait(t_long) self._fn_renounce_ownership.setWait(t_long) self._fn_renounce_role.setWait(t_long) self._fn_revoke_role.setWait(t_long) self._fn_sig.setWait(t_long) self._fn_transfer_ownership.setWait(t_long) self._fn_unlock.setWait(t_long) self._fn_unpause_sc.setWait(t_long) self._fn_whitelist_admins.setWait(t_long) return self @staticmethod def abi(): """Return the ABI to the underlying contract.""" return json.loads( '[{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"previousOwner","type":"address"},{"indexed":true,"internalType":"address","name":"newOwner","type":"address"}],"name":"OwnershipTransferred","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"bytes32","name":"role","type":"bytes32"},{"indexed":true,"internalType":"address","name":"account","type":"address"},{"indexed":true,"internalType":"address","name":"sender","type":"address"}],"name":"RoleGranted","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"internalType":"bytes32","name":"role","type":"bytes32"},{"indexed":true,"internalType":"address","name":"account","type":"address"},{"indexed":true,"internalType":"address","name":"sender","type":"address"}],"name":"RoleRevoked","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"internalType":"address","name":"a","type":"address"},{"indexed":false,"internalType":"uint256","name":"b","type":"uint256"}],"name":"UsrDeposit","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"internalType":"bool","name":"value","type":"bool"}],"name":"contractPaused","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"internalType":"uint8","name":"value","type":"uint8"}],"name":"traillock","type":"event"},{"inputs":[],"name":"DEFAULT_ADMIN_ROLE","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"addGovernor","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"addWhitelistAdmin","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"index_0","type":"bytes32"}],"name":"coin_user_vault","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"index_0","type":"address"},{"internalType":"address","name":"index_1","type":"address"}],"name":"coin_user_vault2","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"coin","type":"address"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"deposit_erc20","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"}],"name":"getRoleAdmin","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"uint256","name":"index","type":"uint256"}],"name":"getRoleMember","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"}],"name":"getRoleMemberCount","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"governor","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"grantRole","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"hasRole","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"isGovernor","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"isLocked","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"isOwner","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"isPaused","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"isWhitelistAdmin","outputs":[{"internalType":"bool","name":"","type":"bool"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"lock","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"owner","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[],"name":"pauseSc","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"removeGovernor","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"account","type":"address"}],"name":"removeWhitelistAdmin","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"renounceOwnership","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"renounceRole","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"role","type":"bytes32"},{"internalType":"address","name":"account","type":"address"}],"name":"revokeRole","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"address","name":"user","type":"address"},{"internalType":"address","name":"coin","type":"address"}],"name":"sig","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"pure","type":"function"},{"inputs":[{"internalType":"address","name":"newOwner","type":"address"}],"name":"transferOwnership","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"unlock","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"unpauseSc","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[],"name":"whitelistAdmins","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"stateMutability":"view","type":"function"}]' # noqa: E501 (line-too-long) ) # pylint: disable=too-many-lines

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6,522

0.633341

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171,140

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0.019465

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0.014018

0.908612

0.861789

0.831563

0.80014

0.771929

0.736223

0

0.004205

0.256562

171,140

4,071

6,523

42.038811

0.802015

0.107993

0

0.677024

1

0.000409

0.145848

0.046252

0

0.01063

1

0.103843

false

0.001226

0.007768

0.012265

0.216271

0.110384

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1

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null

0

8

a128838c1c37be37866b3770d9a22030cc6667d5

6,481

py

Python

tests/fortify/download_test.py

matt-fevold/webbreaker

b500fc620ebba03a27321c8f832ab77bb760b9c5

[ "MIT" ]

7

2018-12-20T19:18:43.000Z

2019-12-10T15:03:41.000Z

tests/fortify/download_test.py

matt-fevold/webbreaker

b500fc620ebba03a27321c8f832ab77bb760b9c5

[ "MIT" ]

5

2019-04-02T17:07:44.000Z

2020-02-17T07:08:11.000Z

tests/fortify/download_test.py

matt-fevold/webbreaker

b500fc620ebba03a27321c8f832ab77bb760b9c5

[ "MIT" ]

7

2019-01-10T10:40:55.000Z

2022-03-13T14:08:37.000Z

import mock import pytest from webbreaker.fortify.download import FortifyDownload def attribute_error_exception(**kwargs): raise AttributeError('Test Failure') def unbound_local_error_exception(**kwargs): raise UnboundLocalError('Test Failure') def io_error_exception(**kwargs): raise IOError('Test Failure') @mock.patch('webbreaker.fortify.download.FortifyDownload.download') @mock.patch('webbreaker.fortify.download.FortifyAuth') @mock.patch('webbreaker.fortify.download.FortifyConfig') def test_fortify_download_successful_init_application_name_is_not_none(config_mock, auth_mock, download_mock): expected_username = 'user' expected_password = 'password' expected_application = 'Test Application' expected_version = 'Test Version' auth_mock.return_value.authenticate.return_value = expected_username, expected_password fortify_download = FortifyDownload(username=None, password=None, application_name=expected_application, version_name=expected_version) assert fortify_download.username == expected_username assert fortify_download.password == expected_password download_mock.assert_called_once_with(expected_application, expected_version) assert config_mock.call_count == 1 assert auth_mock.call_count == 1 assert download_mock.call_count == 1 @mock.patch('webbreaker.fortify.download.FortifyDownload.download') @mock.patch('webbreaker.fortify.download.FortifyAuth') @mock.patch('webbreaker.fortify.download.FortifyConfig') def test_fortify_download_successful_init_application_name_is_none(config_mock, auth_mock, download_mock): expected_username = 'user' expected_password = 'password' expected_application = 'Test Application' expected_version = 'Test Version' auth_mock.return_value.authenticate.return_value = expected_username, expected_password config_mock.return_value.application_name = expected_application config_mock.application_name() fortify_download = FortifyDownload(username=None, password=None, application_name=None, version_name=expected_version) assert fortify_download.username == expected_username assert fortify_download.password == expected_password download_mock.assert_called_once_with(expected_application, expected_version) assert config_mock.call_count == 1 assert auth_mock.call_count == 1 assert download_mock.call_count == 1 @mock.patch('webbreaker.fortify.download.FortifyDownload.download_scan') @mock.patch('webbreaker.fortify.download.FortifyAuth') def test_fortify_download_download_successful_download(auth_mock, download_mock): expected_username = 'user' expected_password = 'password' expected_application = 'Test Application' expected_version = 'Test Version' auth_mock.return_value.authenticate.return_value = expected_username, expected_password download_mock.return_value = None fortify_download = FortifyDownload(username=expected_username, password=expected_password, application_name=expected_application, version_name=expected_version) assert fortify_download.username == expected_username assert fortify_download.password == expected_password download_mock.assert_called_once_with(expected_application, expected_version) assert auth_mock.call_count == 1 assert download_mock.call_count == 1 @mock.patch('webbreaker.fortify.download.FortifyHelper') @mock.patch('webbreaker.fortify.download.FortifyAuth') @mock.patch('webbreaker.fortify.download.FortifyConfig') @mock.patch('webbreaker.fortify.download.Logger.app.critical') def test_fortify_download_download_throws_attribute_error(log_mock, config_mock, auth_mock, client_mock): expected_username = 'user' expected_password = 'password' expected_application = 'Test Application' expected_version = 'Test Version' auth_mock.return_value.authenticate.return_value = expected_username, expected_password client_mock.side_effect = attribute_error_exception with pytest.raises(SystemExit): FortifyDownload(username=expected_username, password=expected_password, application_name=expected_application, version_name=expected_version) assert log_mock.call_count == 1 @mock.patch('webbreaker.fortify.download.FortifyHelper') @mock.patch('webbreaker.fortify.download.FortifyAuth') @mock.patch('webbreaker.fortify.download.FortifyConfig') @mock.patch('webbreaker.fortify.download.Logger.app.critical') def test_fortify_download_download_throws_unbound_local_error(log_mock, config_mock, auth_mock, client_mock): expected_username = 'user' expected_password = 'password' expected_application = 'Test Application' expected_version = 'Test Version' auth_mock.return_value.authenticate.return_value = expected_username, expected_password client_mock.side_effect = unbound_local_error_exception with pytest.raises(SystemExit): FortifyDownload(username=expected_username, password=expected_password, application_name=expected_application, version_name=expected_version) assert log_mock.call_count == 1 @mock.patch('webbreaker.fortify.download.FortifyHelper') @mock.patch('webbreaker.fortify.download.FortifyAuth') @mock.patch('webbreaker.fortify.download.FortifyConfig') @mock.patch('webbreaker.fortify.download.Logger.app.error') def test_fortify_download_download_throws_io_error(log_mock, config_mock, auth_mock, client_mock): expected_username = 'user' expected_password = 'password' expected_application = 'Test Application' expected_version = 'Test Version' auth_mock.return_value.authenticate.return_value = expected_username, expected_password client_mock.side_effect = io_error_exception with pytest.raises(SystemExit): FortifyDownload(username=expected_username, password=expected_password, application_name=expected_application, version_name=expected_version) assert log_mock.call_count == 1

41.018987

110

0.739083

685

6,481

6.656934

0.089051

0.118421

0.115132

0.114035

0.900877

0.894298

0.876535

0.849561

0

0.00208

0.184077

6,481

157

111

41.280255

0.86025

0

0.788136

0

0.175463

0.13287

0

0.169492

1

0.076271

false

0.177966

0.025424

0

0.101695

0

null

0

1

0

1

0

null

0

1

0

8

a1659259eb1c70cebb06aa75acce4e74e5bd314d

2,750

py

Python

data/atmosphere_biogeochemistry/ice_cores/viz/generate.py

ilopezgp/human_impacts

b2758245edac0946080a647f1dbfd1098c0f0b27

[ "MIT" ]

4

2020-08-25T00:52:01.000Z

2020-11-16T16:57:46.000Z

data/atmosphere_biogeochemistry/ice_cores/viz/generate.py

ilopezgp/human_impacts

b2758245edac0946080a647f1dbfd1098c0f0b27

[ "MIT" ]

5

2020-10-30T21:22:55.000Z

2021-12-30T02:07:02.000Z

data/atmosphere_biogeochemistry/ice_cores/viz/generate.py

ilopezgp/human_impacts

b2758245edac0946080a647f1dbfd1098c0f0b27

[ "MIT" ]

2

2020-08-28T10:11:28.000Z

2020-11-11T07:58:46.000Z

#%% import numpy as np import pandas as pd import altair as alt import anthro.io # Load the ice core data. data = pd.read_csv('../processed/law2006_by_year_clean.csv') # %% # Generate a plot inferred CO2 concentrations over the last 2k years agg_data = pd.DataFrame() agg_data['year'] = data['year_CE'] agg_data['CO2'] = data['CO2_spline_fit'] chart = alt.Chart(agg_data).encode( x=alt.X(field='year', type='quantitative', title='year', scale=alt.Scale(domain=(1, 2004))), y=alt.Y(field=r'CO2', type='quantitative', title=r'Atmospheric CO2 concentration (ppm)', scale=alt.Scale(zero=False)), tooltip=[alt.Tooltip(field='year', type='quantitative', title='year'), alt.Tooltip(field=r'CO2', type='nominal', title=r'[CO2] (ppm)')] ).properties(width='container', height=300) l = chart.mark_line(color='dodgerblue') p = chart.mark_point(color='dodgerblue', filled=True) layer = alt.layer(l, p) layer.save('CO2_ice_cores.json') # %% # Generate a plot inferred CH4 concentrations over the last 2k years agg_data = pd.DataFrame() agg_data['year'] = data['year_CE'] agg_data['CH4'] = data['CH4_spline_fit'] chart = alt.Chart(agg_data).encode( x=alt.X(field='year', type='quantitative', title='year', scale=alt.Scale(domain=(1, 2004))), y=alt.Y(field=r'CH4', type='quantitative', title=r'Atmospheric CH4 concentration (ppb)', scale=alt.Scale(zero=False)), tooltip=[alt.Tooltip(field='year', type='quantitative', title='year'), alt.Tooltip(field=r'CH4', type='nominal', title=r'[CH4] (ppb)')] ).properties(width='container', height=300) l = chart.mark_line(color='dodgerblue') p = chart.mark_point(color='dodgerblue', filled=True) layer = alt.layer(l, p) layer.save('CH4_ice_cores.json') # %% # Generate a plot inferred N2O concentrations over the last 2k years agg_data = pd.DataFrame() agg_data['year'] = data['year_CE'] agg_data['N2O'] = data['N2O_spline_fit'] chart = alt.Chart(agg_data).encode( x=alt.X(field='year', type='quantitative', title='year', scale=alt.Scale(domain=(1, 2004))), y=alt.Y(field=r'N2O', type='quantitative', title=r'Atmospheric N2O concentration (ppb)', scale=alt.Scale(zero=False)), tooltip=[alt.Tooltip(field='year', type='quantitative', title='year'), alt.Tooltip(field=r'N2O', type='nominal', title=r'[N2O] (ppb)')] ).properties(width='container', height=300) l = chart.mark_line(color='dodgerblue') p = chart.mark_point(color='dodgerblue', filled=True) layer = alt.layer(l, p) layer.save('N2O_ice_cores.json')

39.855072

100

0.638545

384

2,750

4.476563

0.203125

0.048866

0.109948

0.08726

0.819663

0.762071

0.723677

0

0.024642

0.188364

2,750

68

101

40.441176

0.74552

0.086182

0

0.66

1

0

0.237924

0.01517

0

1

0

false

0

0.08

0

0.08

0

null

0

1

0

1

0

null

0

7

a198523ea6d36247abe7801bf83c1e1b3088f820

1,614

py

Python

Attendance_Management_System/vcet/student/migrations/0017_maths_ostl.py

jainritik153/ATTENDANCE-MANAGEMENT-SYSTEM

182be2e07f63e6c5d6207e7e7d3c0d9629608e68

[ "MIT" ]

null

Attendance_Management_System/vcet/student/migrations/0017_maths_ostl.py

jainritik153/ATTENDANCE-MANAGEMENT-SYSTEM

182be2e07f63e6c5d6207e7e7d3c0d9629608e68

[ "MIT" ]

null

Attendance_Management_System/vcet/student/migrations/0017_maths_ostl.py

jainritik153/ATTENDANCE-MANAGEMENT-SYSTEM

182be2e07f63e6c5d6207e7e7d3c0d9629608e68

[ "MIT" ]

null

# Generated by Django 2.0.2 on 2018-04-03 14:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('student', '0016_auto_20180402_1511'), ] operations = [ migrations.CreateModel( name='Maths', fields=[ ('roll', models.IntegerField(primary_key=True, serialize=False)), ('_1', models.CharField(default='Not', max_length=20)), ('_2', models.CharField(default='Not', max_length=20)), ('_3', models.CharField(default='Not', max_length=20)), ('_4', models.CharField(default='Not', max_length=10)), ('_5', models.CharField(default='Not', max_length=10)), ('_6', models.CharField(default='Not', max_length=10)), ('_7', models.CharField(default='Not', max_length=10)), ], ), migrations.CreateModel( name='Ostl', fields=[ ('roll', models.IntegerField(primary_key=True, serialize=False)), ('_1', models.CharField(default='Not', max_length=20)), ('_2', models.CharField(default='Not', max_length=20)), ('_3', models.CharField(default='Not', max_length=20)), ('_4', models.CharField(default='Not', max_length=10)), ('_5', models.CharField(default='Not', max_length=10)), ('_6', models.CharField(default='Not', max_length=10)), ('_7', models.CharField(default='Not', max_length=10)), ], ), ]

40.35

81

0.540273

167

1,614

5.023952

0.299401

0.250298

0.367104

0.417163

0.750894

0

0.063923

0.292441

1,614

39

82

41.384615

0.670753

0.027881

0

0.727273

1

0

0.074665

0.014678

0

1

0

false

0

0.030303

0

0.121212

0

null

1

0

1

0

1

0

null

0

10

a1f88a771568cca00b751a2e96dc94ba1ada12f4

138

py

Python

progmod/integrerte/__init__.py

NadderudVGS/ProgMod-Pakka

d359f24ac1417890e6c639f46f8c9b3931a925cf

[ "MIT" ]

1

2020-07-15T14:29:40.000Z

progmod/integrerte/__init__.py

NadderudVGS/ProgMod-Pakka

d359f24ac1417890e6c639f46f8c9b3931a925cf

[ "MIT" ]

5

2020-02-13T18:09:30.000Z

2020-06-09T08:29:37.000Z

progmod/integrerte/__init__.py

NadderudVGS/ProgMod-Pakka

d359f24ac1417890e6c639f46f8c9b3931a925cf

[ "MIT" ]

null

from progmod.Integrerte.rektangel import rektangel from progmod.Integrerte.trapes import trapes from progmod.Integrerte.array import array

46

50

0.876812

18

138

6.722222

0.388889

0.272727

0.520661

0

0.07971

138

3

51

46

0.952756

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

62a8389b349070841f6a1520e0cd1356a469c92e

147

py

Python

src/tespy/connections/__init__.py

anmartens/tespy

9a543d67cd8266c15cb9940ca640d6a8eda27a28

[ "MIT" ]

1

2022-03-23T10:25:36.000Z

src/tespy/connections/__init__.py

anmartens/tespy

9a543d67cd8266c15cb9940ca640d6a8eda27a28

[ "MIT" ]

null

src/tespy/connections/__init__.py

anmartens/tespy

9a543d67cd8266c15cb9940ca640d6a8eda27a28

[ "MIT" ]

null

# -*- coding: utf-8 from .bus import Bus # noqa: F401 from .connection import Connection # noqa: F401 from .connection import Ref # noqa: F401

24.5

48

0.70068

21

147

4.904762

0.47619

0.23301

0.427184

0.543689

0

0.084746

0.197279

147

5

49

29.4

0.788136

0.340136

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

62b39629828fa81b089f607431282e4887759ff2

5,420

py

Python

icons/mdesign.py

robert-hh/SSD1963-TFT-Library-for-PyBoard

db9786cdd95f9dab5334a9de28bed4e26436815c

[ "MIT" ]

16

2016-02-23T12:20:36.000Z

2021-02-02T06:41:49.000Z

icons/mdesign.py

robert-hh/SSD1963-TFT-Library-for-PyBoard-and-RP2040

db9786cdd95f9dab5334a9de28bed4e26436815c

[ "MIT" ]

2

2016-11-26T07:46:58.000Z

2017-12-10T08:44:38.000Z

icons/mdesign.py

robert-hh/SSD1963-TFT-Library-for-PyBoard

db9786cdd95f9dab5334a9de28bed4e26436815c

[ "MIT" ]

9

2016-06-04T08:22:55.000Z

2020-04-19T14:40:36.000Z

# Code generated by bmp_to_icon.py from uctypes import addressof _icons = { 0: ( b'\xff\xff\xff\x40\x01\xff\xff\xff\xff\xff\xf0\x00\x00\x07\xff\xff' b'\xff\xff\x00\x00\x00\x00\x7f\xff\xff\xf0\x00\x00\x00\x00\x0f\xff' b'\xff\xc0\x00\x00\x00\x00\x03\xff\xff\x00\x00\x00\x00\x00\x00\xff' b'\xfc\x00\x00\x00\x00\x00\x00\x3f\xfc\x00\x00\x00\x00\x00\x00\x1f' b'\xf0\x00\x00\x00\x00\x00\xa0\x0f\xf0\x00\x00\x00\x00\x02\xa8\x03' b'\xc0\x00\x00\x00\x00\x0a\xa4\x03\xc0\x00\x00\x00\x00\x2a\x90\x03' b'\x40\x00\x00\x00\x00\xaa\x40\x00\x00\x00\x00\x00\x02\xa9\x00\x00' b'\x00\x06\x00\x00\x0a\xa4\x00\x00\x00\x1a\x80\x00\x2a\x90\x00\x00' b'\x00\x2a\xa0\x00\xaa\x40\x00\x00\x00\x0a\xa8\x02\xa9\x00\x00\x00' b'\x00\x02\xaa\x0a\xa4\x00\x00\x00\x40\x00\xaa\xaa\x90\x00\x00\x00' b'\xc0\x00\x2a\xaa\x40\x00\x00\x01\xc0\x00\x0a\xa9\x00\x00\x00\x03' b'\xd0\x00\x02\xa4\x00\x00\x00\x03\xf0\x00\x00\x90\x00\x00\x00\x0f' b'\xf4\x00\x00\x00\x00\x00\x00\x0f\xfc\x00\x00\x00\x00\x00\x00\x3f' b'\xff\x00\x00\x00\x00\x00\x00\xff\xff\xc0\x00\x00\x00\x00\x03\xff' b'\xff\xf0\x00\x00\x00\x00\x0f\xff\xff\xfd\x00\x00\x00\x00\x3f\xff' b'\xff\xff\xc0\x00\x00\x03\xff\xff\xff\xff\xff\x00\x00\x7f\xff\xff' ), 1: ( b'\xff\xff\xff\x40\x01\xff\xff\xff\xff\xff\xf0\x00\x00\x0b\xff\xff' b'\xff\xff\x00\x00\x00\x00\x7f\xff\xff\xf0\x00\x07\xf8\x00\x0f\xff' b'\xff\xc0\x03\xff\xff\xd0\x03\xff\xff\x00\x3f\xff\xff\xfc\x00\xff' b'\xfc\x00\xff\xff\xff\xff\x40\x3f\xfc\x03\xff\xff\xff\xff\xd0\x2f' b'\xf0\x0f\xff\xda\xa7\xff\xf0\x0f\xd0\x3f\xfd\xaa\xaa\x3f\xfc\x03' b'\xc0\x3f\xf2\xaa\xaa\xaf\xff\x03\xc0\xff\xda\xaa\xaa\xab\xff\x01' b'\x40\xff\xea\xaa\xaa\xab\xff\x00\x00\xff\x6a\xaa\xaa\xaa\xff\xc0' b'\x01\xff\xaa\xaa\xaa\xaa\xff\xc0\x03\xff\xaa\xaa\xaa\xaa\xff\xc0' b'\x03\xff\xaa\xaa\xaa\xaa\xff\xc0\x03\xff\xaa\xaa\xaa\xaa\xff\xc0' b'\x02\xff\x6a\xaa\xaa\xaa\xff\xc0\x40\xff\xea\xaa\xaa\xab\xff\x80' b'\xc0\xff\xca\xaa\xaa\xab\xff\x01\xc0\x7f\xfa\xaa\xaa\xaf\xff\x03' b'\xe0\x3f\xfe\xaa\xaa\xbf\xfc\x03\xf0\x0f\xff\xea\xab\xff\xf4\x0f' b'\xf4\x07\xff\xff\xff\xff\xf0\x0f\xfc\x01\xff\xff\xff\xff\xc0\x3f' b'\xff\x00\x3f\xff\xff\xfd\x00\xff\xff\xc0\x0f\xff\xff\xf0\x03\xff' b'\xff\xf0\x00\x3f\xfe\x00\x0f\xff\xff\xfe\x00\x00\x00\x00\x3f\xff' b'\xff\xff\xc0\x00\x00\x03\xff\xff\xff\xff\xfd\x00\x00\x7f\xff\xff' ), 2: ( b'\xff\xff\xff\x40\x01\xff\xff\xff\xff\xff\xd0\x00\x00\x0b\xff\xff' b'\xff\xff\x00\x00\x00\x00\x7f\xff\xff\xf0\x00\x07\xf8\x00\x0f\xff' b'\xff\xc0\x03\xff\xff\xd0\x03\xff\xff\x00\x3f\xff\xff\xfc\x00\xff' b'\xfc\x00\xff\xff\xff\xff\x40\x3f\xfc\x03\xff\xff\xff\xff\xd0\x2f' b'\xf0\x0f\xff\xff\xff\xff\xf0\x0f\xd0\x3f\xff\xff\xff\xff\xfc\x03' b'\xc0\x3f\xfe\xab\xfa\xbf\xff\x03\xc0\xff\xfe\xab\xfa\xbf\xff\x01' b'\x40\xff\xfe\xab\xfa\xbf\xff\x00\x00\xff\xfe\xab\xfa\xbf\xff\xc0' b'\x01\xff\xfe\xab\xfa\xbf\xff\xc0\x03\xff\xfe\xab\xfa\xbf\xff\xc0' b'\x03\xff\xfe\xab\xfa\xbf\xff\xc0\x03\xff\xfe\xab\xfa\xbf\xff\xc0' b'\x02\xff\xfe\xab\xfa\xbf\xff\xc0\x40\xff\xfe\xab\xfa\xbf\xff\x80' b'\xc0\xff\xfe\xab\xfa\xbf\xff\x01\xc0\xbf\xfe\xab\xfa\xbf\xff\x03' b'\xe0\x3f\xfe\xa7\xfa\xbf\xfc\x03\xf0\x0f\xff\xff\xff\xff\xf4\x0f' b'\xf4\x07\xff\xff\xff\xff\xf0\x0f\xfc\x01\xff\xff\xff\xff\xc0\x3f' b'\xff\x00\x3f\xff\xff\xfd\x00\xff\xff\xc0\x0f\xff\xff\xf0\x03\xff' b'\xff\xf0\x00\x3f\xfe\x00\x0f\xff\xff\xfe\x00\x00\x00\x00\x3f\xff' b'\xff\xff\xc0\x00\x00\x03\xff\xff\xff\xff\xfd\x00\x00\x7f\xff\xff' ), 3: ( b'\xff\xff\xff\x40\x01\xff\xff\xff\xff\xff\xd0\x00\x00\x0b\xff\xff' b'\xff\xff\x00\x00\x00\x00\x7f\xff\xff\xf0\x00\x07\xf8\x00\x0f\xff' b'\xff\xc0\x03\xff\xff\xd0\x03\xff\xff\x00\x3f\xff\xff\xfc\x00\xff' b'\xfc\x00\xff\xff\xff\xff\x40\x3f\xfc\x03\xff\xff\xff\xff\xd0\x2f' b'\xf0\x0f\xff\xff\xff\xff\xf0\x0f\xd0\x3f\xff\xef\xff\xff\xfc\x03' b'\xc0\x3f\xff\xeb\xff\xff\xff\x03\xc0\xff\xff\xea\xff\xff\xff\x01' b'\x40\xff\xff\xea\xaf\xff\xff\x00\x00\xff\xff\xea\xab\xff\xff\xc0' b'\x01\xff\xff\xea\xaa\xff\xff\xc0\x03\xff\xff\xea\xaa\xaf\xff\xc0' b'\x03\xff\xff\xea\xaa\xaf\xff\xc0\x03\xff\xff\xea\xaa\xbf\xff\xc0' b'\x02\xff\xff\xea\xab\xff\xff\xc0\x40\xff\xff\xea\xaf\xff\xff\x80' b'\xc0\xff\xff\xea\xbf\xff\xff\x01\xc0\xbf\xff\xeb\xff\xff\xff\x03' b'\xe0\x3f\xff\xef\xff\xff\xfc\x03\xf0\x0f\xff\xff\xff\xff\xf4\x0f' b'\xf4\x07\xff\xff\xff\xff\xf0\x0f\xfc\x01\xff\xff\xff\xff\xc0\x3f' b'\xff\x00\x3f\xff\xff\xfd\x00\xff\xff\xc0\x0f\xff\xff\xf0\x03\xff' b'\xff\xf0\x00\x3f\xfe\x00\x0f\xff\xff\xfe\x00\x00\x00\x00\x3f\xff' b'\xff\xff\xc0\x00\x00\x03\xff\xff\xff\xff\xfd\x00\x00\x7f\xff\xff' ), } colortable = { 0: ( b'\x02\x06\x03\x02\x62\x65\x63\x00\x80\x80\x80\x00\xff\xff\xff\x00'), 1: ( b'\x02\x06\x03\x02\x62\x65\x63\x00\x00\x00\xff\x00\xff\xff\xff\x00'), 2: ( b'\x02\x06\x03\x02\x62\x65\x63\x00\x00\xff\x00\x00\xff\xff\xff\x00'), 3: ( b'\x02\x06\x03\x02\x62\x65\x63\x00\x00\xff\xff\x00\xff\xff\xff\x00'), } width = 32 height = 32 colors = 2 def get_icon(icon_index = 0, color_index = 0): return width, height, addressof(_icons[icon_index]), colors, addressof(colortable[color_index]) def draw(x, y, icon_index, draw_fct, color_index = 0): draw_fct(x - width//2, y - height // 2, width, height, addressof(_icons[icon_index]), colors, addressof(colortable[color_index]))

57.052632

133

0.678598

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0.064019

0.270344

0.174495

0.124522

0.839159

0.751775

0.689514

0.599672

0.515838

0.509011

0

0.189065

0.078782

5,420

94

134

57.659574

0.544362

0.005904

0

0.306818

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0.808171

0

1

0

1

0.022727

false

0

0.011364

0.045455

0

null

1

0

1

0

1

null

1

0

8

62b9dac3fd9a8dce49ab323e4175195b74cc9add

130

py

Python

app/scmapp/__init__.py

muhiza/digital.cooperative

f57a749e10796b6e00920b21809ab56b9274d944

[ "Unlicense" ]

null

app/scmapp/__init__.py

muhiza/digital.cooperative

f57a749e10796b6e00920b21809ab56b9274d944

[ "Unlicense" ]

null

app/scmapp/__init__.py

muhiza/digital.cooperative

f57a749e10796b6e00920b21809ab56b9274d944

[ "Unlicense" ]

null

from flask import Blueprint supply_chain = Blueprint('supply_chain', __name__, template_folder="templates") from . import views

21.666667

79

0.8

16

130

6.0625

0.6875

0.309278

0.412371

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0.115385

130

5

80

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0.843478

0

0.161538

0

1

0

false

0

0.666667

0

0.666667

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0

null

1

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1

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null

0

1

0

1

0

7

62e61562e6967a9a31a5345ff5af7bd109fa19c0

28,446

py

Python

tests/unit/test_pack_unpack.py

andkononykhin/didcomm-python

a211440add554c9eb579536b87c9eed710015680

[ "Apache-2.0" ]

null

tests/unit/test_pack_unpack.py

andkononykhin/didcomm-python

a211440add554c9eb579536b87c9eed710015680

[ "Apache-2.0" ]

null

tests/unit/test_pack_unpack.py

andkononykhin/didcomm-python

a211440add554c9eb579536b87c9eed710015680

[ "Apache-2.0" ]

null

import pytest from authlib.common.encoding import json_dumps, json_loads from didcomm.common.algorithms import SignAlg, AnonCryptAlg, AuthCryptAlg from didcomm.common.resolvers import register_default_secrets_resolver, register_default_did_resolver from didcomm.common.types import VerificationMethodType, VerificationMaterial, VerificationMaterialFormat from didcomm.common.utils import parse_base64url_encoded_json from didcomm.did_doc.did_doc import VerificationMethod from didcomm.message import Message from didcomm.pack_encrypted import pack_encrypted, PackEncryptedConfig from didcomm.pack_signed import pack_signed from didcomm.secrets.secrets_resolver import Secret from didcomm.unpack import unpack, Metadata from tests.common.test_resolvers import TestDIDDoc, TestDIDResolver, TestSecretsResolver @pytest.mark.asyncio async def test_pack_signed(): alice_secret = Secret( kid="did:example:alice#key-1", type=VerificationMethodType.ED25519_VERIFICATION_KEY_2018, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "d": "pFRUKkyzx4kHdJtFSnlPA9WzqkDT1HWV0xZ5OYZd2SY", "crv": "Ed25519", "x": "G-boxFB6vOZBu-wXkm-9Lh79I8nf9Z50cILaOgKKGww" }) ) ) register_default_secrets_resolver(TestSecretsResolver([alice_secret])) alice_did_doc = TestDIDDoc( did="did:example:alice", key_agreement_kids=[], authentication_kids=["did:example:alice#key-1"], verification_methods=[VerificationMethod( id="did:example:alice#key-1", type=VerificationMethodType.ED25519_VERIFICATION_KEY_2018, controller="did:example:alice", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "Ed25519", "x": "G-boxFB6vOZBu-wXkm-9Lh79I8nf9Z50cILaOgKKGww" }) ) )], didcomm_services=[] ) register_default_did_resolver(TestDIDResolver([alice_did_doc])) message = Message( id="1234567890", type="http://example.com/protocols/lets_do_lunch/1.0/proposal", frm="did:example:alice", to=[ "did:example:bob" ], created_time=1516269022, expires_time=1516385931, body={ "messagespecificattribute": "and its value" } ) pack_result = await pack_signed(message, sign_frm="did:example:alice") actual_decoded_packed_msg_wo_signature = _decode_and_remove_signatures(pack_result.packed_msg) expected_packed_msg = json_dumps({ "payload": "eyJpZCI6IjEyMzQ1Njc4OTAiLCJ0eXAiOiJhcHBsaWNhdGlvbi9kaWRjb21tLXBsYWluK2pzb24iLCJ0" "eXBlIjoiaHR0cDovL2V4YW1wbGUuY29tL3Byb3RvY29scy9sZXRzX2RvX2x1bmNoLzEuMC9wcm9wb3Nh" "bCIsImZyb20iOiJkaWQ6ZXhhbXBsZTphbGljZSIsInRvIjpbImRpZDpleGFtcGxlOmJvYiJdLCJjcmVh" "dGVkX3RpbWUiOjE1MTYyNjkwMjIsImV4cGlyZXNfdGltZSI6MTUxNjM4NTkzMSwiYm9keSI6eyJtZXNz" "YWdlc3BlY2lmaWNhdHRyaWJ1dGUiOiJhbmQgaXRzIHZhbHVlIn19", "signatures": [ { "protected": "eyJ0eXAiOiJhcHBsaWNhdGlvbi9kaWRjb21tLXNpZ25lZCtqc29uIiwiYWxnIjoiRWREU0EifQ", "signature": "FW33NnvOHV0Ted9-F7GZbkia-vYAfBKtH4oBxbrttWAhBZ6UFJMxcGjL3lwOl4YohI3kyyd08LHPWNMgP2EVCQ", "header": { "kid": "did:example:alice#key-1" } } ] }) expected_decoded_packed_msg_wo_signature = _decode_and_remove_signatures(expected_packed_msg) expected_sign_from_kid = "did:example:alice#key-1" assert actual_decoded_packed_msg_wo_signature == expected_decoded_packed_msg_wo_signature assert pack_result.sign_from_kid == expected_sign_from_kid unpack_result = await unpack(pack_result.packed_msg) assert unpack_result.message == message expected_metadata = Metadata( encrypted=False, authenticated=False, non_repudiation=True, anonymous_sender=False, sign_from=expected_sign_from_kid, sign_alg=SignAlg.ED25519, signed_message=pack_result.packed_msg ) assert unpack_result.metadata == expected_metadata @pytest.mark.asyncio async def test_unpack_signed(): register_default_secrets_resolver(TestSecretsResolver([])) alice_did_doc = TestDIDDoc( did="did:example:alice", key_agreement_kids=[], authentication_kids=["did:example:alice#key-1"], verification_methods=[VerificationMethod( id="did:example:alice#key-1", type=VerificationMethodType.ED25519_VERIFICATION_KEY_2018, controller="did:example:alice", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "Ed25519", "x": "G-boxFB6vOZBu-wXkm-9Lh79I8nf9Z50cILaOgKKGww" }) ) )], didcomm_services=[] ) register_default_did_resolver(TestDIDResolver([alice_did_doc])) packed_message = json_dumps({ "payload": "eyJpZCI6IjEyMzQ1Njc4OTAiLCJ0eXAiOiJhcHBsaWNhdGlvbi9kaWRjb21tLXBsYWluK2pzb24iLCJ0" "eXBlIjoiaHR0cDovL2V4YW1wbGUuY29tL3Byb3RvY29scy9sZXRzX2RvX2x1bmNoLzEuMC9wcm9wb3Nh" "bCIsImZyb20iOiJkaWQ6ZXhhbXBsZTphbGljZSIsInRvIjpbImRpZDpleGFtcGxlOmJvYiJdLCJjcmVh" "dGVkX3RpbWUiOjE1MTYyNjkwMjIsImV4cGlyZXNfdGltZSI6MTUxNjM4NTkzMSwiYm9keSI6eyJtZXNz" "YWdlc3BlY2lmaWNhdHRyaWJ1dGUiOiJhbmQgaXRzIHZhbHVlIn19", "signatures": [ { "protected": "eyJ0eXAiOiJhcHBsaWNhdGlvbi9kaWRjb21tLXNpZ25lZCtqc29uIiwiYWxnIjoiRWREU0EifQ", "signature": "FW33NnvOHV0Ted9-F7GZbkia-vYAfBKtH4oBxbrttWAhBZ6UFJMxcGjL3lwOl4YohI3kyyd08LHPWNMgP2EVCQ", "header": { "kid": "did:example:alice#key-1" } } ] }) unpack_result = await unpack(packed_message) expected_message = Message( id="1234567890", typ="application/didcomm-plain+json", type="http://example.com/protocols/lets_do_lunch/1.0/proposal", frm="did:example:alice", to=[ "did:example:bob" ], created_time=1516269022, expires_time=1516385931, body={ "messagespecificattribute": "and its value" } ) assert unpack_result.message == expected_message expected_metadata = Metadata( encrypted=False, authenticated=False, non_repudiation=True, anonymous_sender=False, sign_from="did:example:alice#key-1", sign_alg=SignAlg.ED25519, signed_message=packed_message ) assert unpack_result.metadata == expected_metadata @pytest.mark.asyncio async def test_pack_encrypted_for_anoncrypt(): bob_secret_1 = Secret( kid="did:example:bob#key-p256-1", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "d": "9KIW7dohB1e0IlavGTSmV6nT6l27oNvNnkdoKNcXe88", "crv": "P-256", "x": "z2mxGIK8jf_Pk2t3pjwUno3e9s8n8KTyWddQvP9fKas", "y": "BhwSorIWrU6xAh7qPTG9DmnbuNQhuIlELZoJrnFMnv0" }) ) ) bob_secret_2 = Secret( kid="did:example:bob#key-p256-2", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "d": "RymzxQ6R8Rv04v9cOVM9Ygl2_WSZUw4isPFVDFx2htU", "crv": "P-256", "x": "-akiIaFTb8yQFMXuLCEnvi-_oX6uOXBKbeUXk7qRP7k", "y": "PRqnktHWOk6cBPQI17pXjFVnU6K7JDdUJxeXLE8Y5Yo" }) ) ) register_default_secrets_resolver(TestSecretsResolver([bob_secret_1, bob_secret_2])) bob_did_doc = TestDIDDoc( did="did:example:bob", key_agreement_kids=["did:example:bob#key-p256-1", "did:example:bob#key-p256-2"], authentication_kids=[], verification_methods=[ VerificationMethod( id="did:example:bob#key-p256-1", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "crv": "P-256", "x": "z2mxGIK8jf_Pk2t3pjwUno3e9s8n8KTyWddQvP9fKas", "y": "BhwSorIWrU6xAh7qPTG9DmnbuNQhuIlELZoJrnFMnv0" }) ) ), VerificationMethod( id="did:example:bob#key-p256-2", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "crv": "P-256", "x": "-akiIaFTb8yQFMXuLCEnvi-_oX6uOXBKbeUXk7qRP7k", "y": "PRqnktHWOk6cBPQI17pXjFVnU6K7JDdUJxeXLE8Y5Yo" }) ) ) ], didcomm_services=[] ) register_default_did_resolver(TestDIDResolver([bob_did_doc])) message = Message( id="1234567890", type="http://example.com/protocols/lets_do_lunch/1.0/proposal", frm="did:example:alice", to=[ "did:example:bob" ], created_time=1516269022, expires_time=1516385931, body={ "messagespecificattribute": "and its value" } ) pack_result = await pack_encrypted( message, to="did:example:bob", pack_config=PackEncryptedConfig( enc_alg_anon=AnonCryptAlg.XC20P_ECDH_ES_A256KW, forward=False ) ) assert pack_result.to_kids == ["did:example:bob#key-p256-1", "did:example:bob#key-p256-2"] assert pack_result.from_kid is None assert pack_result.sign_from_kid is None unpack_result = await unpack(pack_result.packed_msg) assert unpack_result.message == message expected_metadata = Metadata( encrypted=True, authenticated=False, non_repudiation=False, anonymous_sender=True, encrypted_to=["did:example:bob#key-p256-1", "did:example:bob#key-p256-2"], enc_alg_anon=AnonCryptAlg.XC20P_ECDH_ES_A256KW ) assert unpack_result.metadata == expected_metadata @pytest.mark.asyncio async def test_unpack_encrypted_for_anoncrypt(): bob_secret_1 = Secret( kid="did:example:bob#key-p256-1", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "d": "9KIW7dohB1e0IlavGTSmV6nT6l27oNvNnkdoKNcXe88", "crv": "P-256", "x": "z2mxGIK8jf_Pk2t3pjwUno3e9s8n8KTyWddQvP9fKas", "y": "BhwSorIWrU6xAh7qPTG9DmnbuNQhuIlELZoJrnFMnv0" }) ) ) bob_secret_2 = Secret( kid="did:example:bob#key-p256-2", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "d": "RymzxQ6R8Rv04v9cOVM9Ygl2_WSZUw4isPFVDFx2htU", "crv": "P-256", "x": "-akiIaFTb8yQFMXuLCEnvi-_oX6uOXBKbeUXk7qRP7k", "y": "PRqnktHWOk6cBPQI17pXjFVnU6K7JDdUJxeXLE8Y5Yo" }) ) ) register_default_secrets_resolver(TestSecretsResolver([bob_secret_1, bob_secret_2])) bob_did_doc = TestDIDDoc( did="did:example:bob", key_agreement_kids=["did:example:bob#key-p256-1", "did:example:bob#key-p256-2"], authentication_kids=[], verification_methods=[ VerificationMethod( id="did:example:bob#key-p256-1", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "crv": "P-256", "x": "z2mxGIK8jf_Pk2t3pjwUno3e9s8n8KTyWddQvP9fKas", "y": "BhwSorIWrU6xAh7qPTG9DmnbuNQhuIlELZoJrnFMnv0" }) ) ), VerificationMethod( id="did:example:bob#key-p256-2", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "EC", "crv": "P-256", "x": "-akiIaFTb8yQFMXuLCEnvi-_oX6uOXBKbeUXk7qRP7k", "y": "PRqnktHWOk6cBPQI17pXjFVnU6K7JDdUJxeXLE8Y5Yo" }) ) ) ], didcomm_services=[] ) register_default_did_resolver(TestDIDResolver([bob_did_doc])) packed_message = json_dumps({ "ciphertext": "P9vF3kq-jyDvFXy0GcHk7m1IH3ieJLH8E8enC_ZXYWmdmkGj6F4DT0YXYCLwjU9SAE4fIbIWiz5C6xk-" "iz7tgQbhoFFL1O5W5NCp2xPUViqs3jI1NyxiJZFbmvIvErvFiUBy49VT7-jJfD22G-6DgrequTu7lLoh" "nzVbIkf0y9ckK9ycGaDuT6do0dJdxZagFP0ej4qZWJFojv227Qn32My8ohCnXOszj5Mgdbg1ad9E1JNk" "dwZHkow-drz4f82hccohG2pr4sf_aue2kHLpwfs7dOnujvcNMq6UIVolulk-friOCAtR84nmXDrQcI0L" "VEUrdgNUCGgcnX95DcbcxtAGvSiqxyWauBt4ZkUuzMBFjOKJOIkW", "protected": "eyJlcGsiOnsia3R5IjoiRUMiLCJjcnYiOiJQLTI1NiIsIngiOiIxc1luMDM3U2lERnBKMGQzV3VKbks5" "MzRxV2xUOURabEhhUy1IZTlCNzFzIiwieSI6Ik03SzZPUUNCWGwyZjU3SDFKZlZsRm9Ha3VZTVNGVHBn" "Mk9Zazh0Y0JXWEEifSwiYXB2Ijoiei1McXB2VlhEYl9zR1luM21qUUxwdXUyQ1FMZXdZdVpvVFdPSVhQ" "SDNGTSIsInR5cCI6ImFwcGxpY2F0aW9uL2RpZGNvbW0tZW5jcnlwdGVkK2pzb24iLCJlbmMiOiJYQzIw" "UCIsImFsZyI6IkVDREgtRVMrQTI1NktXIn0", "recipients": [ { "encrypted_key": "DEOpYs3EMN0En_5sbWIfzBTsvyeBq5xQU8LgxPJcoaUK1cB9hszdOw", "header": { "kid": "did:example:bob#key-p256-1" } }, { "encrypted_key": "VldoeyO8s90A4BHvVAjgUdl7gJyNUoaKG-AjRumvcm40uxQYk7KjsA", "header": { "kid": "did:example:bob#key-p256-2" } } ], "tag": "orzOQsbjcwBiR4Pu_CF0bg", "iv": "UxgEJcKTxP_3Hw_FRC3etaEIYBimlctx" }) unpack_result = await unpack(packed_message) expected_message = Message( id="1234567890", typ="application/didcomm-plain+json", type="http://example.com/protocols/lets_do_lunch/1.0/proposal", frm="did:example:alice", to=[ "did:example:bob" ], created_time=1516269022, expires_time=1516385931, body={ "messagespecificattribute": "and its value" } ) assert unpack_result.message == expected_message expected_metadata = Metadata( encrypted=True, authenticated=False, non_repudiation=False, anonymous_sender=True, encrypted_to=["did:example:bob#key-p256-1", "did:example:bob#key-p256-2"], enc_alg_anon=AnonCryptAlg.XC20P_ECDH_ES_A256KW ) assert unpack_result.metadata == expected_metadata @pytest.mark.asyncio async def test_pack_encrypted_for_authcrypt(): alice_secret = Secret( kid="did:example:alice#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "d": "r-jK2cO3taR8LQnJB1_ikLBTAnOtShJOsHXRUWT-aZA", "crv": "X25519", "x": "avH0O2Y4tqLAq8y9zpianr8ajii5m4F_mICrzNlatXs" }) ) ) alice_secrets_resolver = TestSecretsResolver([alice_secret]) bob_secret_1 = Secret( kid="did:example:bob#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "d": "b9NnuOCB0hm7YGNvaE9DMhwH_wjZA1-gWD6dA0JWdL0", "crv": "X25519", "x": "GDTrI66K0pFfO54tlCSvfjjNapIs44dzpneBgyx0S3E" }) ) ) bob_secret_2 = Secret( kid="did:example:bob#key-x25519-2", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "d": "p-vteoF1gopny1HXywt76xz_uC83UUmrgszsI-ThBKk", "crv": "X25519", "x": "UT9S3F5ep16KSNBBShU2wh3qSfqYjlasZimn0mB8_VM" }) ) ) bob_secrets_resolver = TestSecretsResolver([bob_secret_1, bob_secret_2]) alice_did_doc = TestDIDDoc( did="did:example:alice", key_agreement_kids=["did:example:alice#key-x25519-1"], authentication_kids=[], verification_methods=[ VerificationMethod( id="did:example:alice#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:alice", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "X25519", "x": "avH0O2Y4tqLAq8y9zpianr8ajii5m4F_mICrzNlatXs" }) ) ) ], didcomm_services=[] ) bob_did_doc = TestDIDDoc( did="did:example:bob", key_agreement_kids=["did:example:bob#key-x25519-1", "did:example:bob#key-x25519-2"], authentication_kids=[], verification_methods=[ VerificationMethod( id="did:example:bob#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "X25519", "x": "GDTrI66K0pFfO54tlCSvfjjNapIs44dzpneBgyx0S3E" }) ) ), VerificationMethod( id="did:example:bob#key-x25519-2", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "X25519", "x": "UT9S3F5ep16KSNBBShU2wh3qSfqYjlasZimn0mB8_VM" }) ) ) ], didcomm_services=[] ) register_default_did_resolver(TestDIDResolver([alice_did_doc, bob_did_doc])) register_default_secrets_resolver(alice_secrets_resolver) message = Message( id="1234567890", type="http://example.com/protocols/lets_do_lunch/1.0/proposal", frm="did:example:alice", to=[ "did:example:bob" ], created_time=1516269022, expires_time=1516385931, body={ "messagespecificattribute": "and its value" } ) pack_result = await pack_encrypted( message, to="did:example:bob", frm="did:example:alice", pack_config=PackEncryptedConfig( enc_alg_auth=AuthCryptAlg.A256CBC_HS512_ECDH_1PU_A256KW, forward=False ) ) assert pack_result.to_kids == ["did:example:bob#key-x25519-1", "did:example:bob#key-x25519-2"] assert pack_result.from_kid == "did:example:alice#key-x25519-1" assert pack_result.sign_from_kid is None register_default_secrets_resolver(bob_secrets_resolver) unpack_result = await unpack(pack_result.packed_msg) assert unpack_result.message == message expected_metadata = Metadata( encrypted=True, authenticated=True, non_repudiation=False, anonymous_sender=False, encrypted_from="did:example:alice#key-x25519-1", encrypted_to=["did:example:bob#key-x25519-1", "did:example:bob#key-x25519-2"], enc_alg_auth=AuthCryptAlg.A256CBC_HS512_ECDH_1PU_A256KW ) assert unpack_result.metadata == expected_metadata @pytest.mark.asyncio async def test_unpack_encrypted_for_authcrypt(): bob_secret_1 = Secret( kid="did:example:bob#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "d": "b9NnuOCB0hm7YGNvaE9DMhwH_wjZA1-gWD6dA0JWdL0", "crv": "X25519", "x": "GDTrI66K0pFfO54tlCSvfjjNapIs44dzpneBgyx0S3E" }) ) ) bob_secret_2 = Secret( kid="did:example:bob#key-x25519-2", type=VerificationMethodType.JSON_WEB_KEY_2020, verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "d": "p-vteoF1gopny1HXywt76xz_uC83UUmrgszsI-ThBKk", "crv": "X25519", "x": "UT9S3F5ep16KSNBBShU2wh3qSfqYjlasZimn0mB8_VM" }) ) ) register_default_secrets_resolver(TestSecretsResolver([bob_secret_1, bob_secret_2])) alice_did_doc = TestDIDDoc( did="did:example:alice", key_agreement_kids=["did:example:alice#key-x25519-1"], authentication_kids=[], verification_methods=[ VerificationMethod( id="did:example:alice#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:alice", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "X25519", "x": "avH0O2Y4tqLAq8y9zpianr8ajii5m4F_mICrzNlatXs" }) ) ) ], didcomm_services=[] ) bob_did_doc = TestDIDDoc( did="did:example:bob", key_agreement_kids=["did:example:bob#key-x25519-1", "did:example:bob#key-x25519-2"], authentication_kids=[], verification_methods=[ VerificationMethod( id="did:example:bob#key-x25519-1", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "X25519", "x": "GDTrI66K0pFfO54tlCSvfjjNapIs44dzpneBgyx0S3E" }) ) ), VerificationMethod( id="did:example:bob#key-x25519-2", type=VerificationMethodType.JSON_WEB_KEY_2020, controller="did:example:bob", verification_material=VerificationMaterial( format=VerificationMaterialFormat.JWK, value=json_dumps({ "kty": "OKP", "crv": "X25519", "x": "UT9S3F5ep16KSNBBShU2wh3qSfqYjlasZimn0mB8_VM" }) ) ) ], didcomm_services=[] ) register_default_did_resolver(TestDIDResolver([alice_did_doc, bob_did_doc])) packed_message = json_dumps({ "ciphertext": "MJezmxJ8DzUB01rMjiW6JViSaUhsZBhMvYtezkhmwts1qXWtDB63i4-FHZP6cJSyCI7eU-gqH8lBXO_U" "VuviWIqnIUrTRLaumanZ4q1dNKAnxNL-dHmb3coOqSvy3ZZn6W17lsVudjw7hUUpMbeMbQ5W8GokK9ZC" "GaaWnqAzd1ZcuGXDuemWeA8BerQsfQw_IQm-aUKancldedHSGrOjVWgozVL97MH966j3i9CJc3k9jS9x" "DuE0owoWVZa7SxTmhl1PDetmzLnYIIIt-peJtNYGdpd-FcYxIFycQNRUoFEr77h4GBTLbC-vqbQHJC1v" "W4O2LEKhnhOAVlGyDYkNbA4DSL-LMwKxenQXRARsKSIMn7z-ZIqTE-VCNj9vbtgR", "protected": "eyJlcGsiOnsia3R5IjoiT0tQIiwiY3J2IjoiWDI1NTE5IiwieCI6IkdGY01vcEpsamY0cExaZmNoNGFf" "R2hUTV9ZQWY2aU5JMWRXREd5VkNhdzAifSwiYXB2IjoiTmNzdUFuclJmUEs2OUEtcmtaMEw5WFdVRzRq" "TXZOQzNaZzc0QlB6NTNQQSIsInNraWQiOiJkaWQ6ZXhhbXBsZTphbGljZSNrZXkteDI1NTE5LTEiLCJh" "cHUiOiJaR2xrT21WNFlXMXdiR1U2WVd4cFkyVWphMlY1TFhneU5UVXhPUzB4IiwidHlwIjoiYXBwbGlj" "YXRpb24vZGlkY29tbS1lbmNyeXB0ZWQranNvbiIsImVuYyI6IkEyNTZDQkMtSFM1MTIiLCJhbGciOiJF" "Q0RILTFQVStBMjU2S1cifQ", "recipients": [ { "encrypted_key": "o0FJASHkQKhnFo_rTMHTI9qTm_m2mkJp-wv96mKyT5TP7QjB" "DuiQ0AMKaPI_RLLB7jpyE-Q80Mwos7CvwbMJDhIEBnk2qHVB", "header": { "kid": "did:example:bob#key-x25519-1" } }, { "encrypted_key": "rYlafW0XkNd8kaXCqVbtGJ9GhwBC3lZ9AihHK4B6J6V2kT7v" "jbSYuIpr1IlAjvxYQOw08yqEJNIwrPpB0ouDzKqk98FVN7rK", "header": { "kid": "did:example:bob#key-x25519-2" } } ], "tag": "uYeo7IsZjN7AnvBjUZE5lNryNENbf6_zew_VC-d4b3U", "iv": "o02OXDQ6_-sKz2PX_6oyJg" }) unpack_result = await unpack(packed_message) expected_message = Message( id="1234567890", typ="application/didcomm-plain+json", type="http://example.com/protocols/lets_do_lunch/1.0/proposal", frm="did:example:alice", to=[ "did:example:bob" ], created_time=1516269022, expires_time=1516385931, body={ "messagespecificattribute": "and its value" } ) assert unpack_result.message == expected_message expected_metadata = Metadata( encrypted=True, authenticated=True, non_repudiation=False, anonymous_sender=False, encrypted_from="did:example:alice#key-x25519-1", encrypted_to=["did:example:bob#key-x25519-1", "did:example:bob#key-x25519-2"], enc_alg_auth=AuthCryptAlg.A256CBC_HS512_ECDH_1PU_A256KW ) assert unpack_result.metadata == expected_metadata def _decode_and_remove_signatures(jws: str) -> dict: jws = json_loads(jws) jws['payload'] = parse_base64url_encoded_json(jws['payload']) for s in jws['signatures']: s['protected'] = parse_base64url_encoded_json(s['protected']) del s['signature'] return jws

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62,273

py

Python

pkgs/sdk-pkg/src/genie/libs/sdk/apis/junos/chassis/verify.py

jbronikowski/genielibs

200a34e5fe4838a27b5a80d5973651b2e34ccafb

[ "Apache-2.0" ]

94

2018-04-30T20:29:15.000Z

2022-03-29T13:40:31.000Z

pkgs/sdk-pkg/src/genie/libs/sdk/apis/junos/chassis/verify.py

jbronikowski/genielibs

200a34e5fe4838a27b5a80d5973651b2e34ccafb

[ "Apache-2.0" ]

67

2018-12-06T21:08:09.000Z

2022-03-29T18:00:46.000Z

pkgs/sdk-pkg/src/genie/libs/sdk/apis/junos/chassis/verify.py

jbronikowski/genielibs

200a34e5fe4838a27b5a80d5973651b2e34ccafb

[ "Apache-2.0" ]

49

2018-06-29T18:59:03.000Z

2022-03-10T02:07:59.000Z

"""Common verification functions for class-of-service""" # Python import re import logging import operator # Genie from genie.utils.timeout import Timeout from genie.metaparser.util.exceptions import SchemaEmptyParserError from genie.utils import Dq log = logging.getLogger(__name__) def verify_chassis_fpc_slot_state(device, expected_state, expected_slot=None, all_slots=False, environment=False, max_time=60, check_interval=10): """ Verifies slot state via - show chassis fpc - show chassis environment fpc Args: device (obj): Device object expected_state (list): Expected state of that slot. For example: ["Offline", "Online"]. expected_slot (str, optional): Expected slot to check. For example: "0". all_slots(bool, optional): Flag that indicate all slots need to be verified. Defaults to False. environment(bool, optional): Flag that indicate different show commands. Defaults to False. max_time (int, optional): Maximum timeout time. Defaults to 60. check_interval (int, optional): Check interval. Defaults to 10. Returns: True/False """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): out = None try: if environment: out = device.parse("show chassis environment fpc") else: out = device.parse('show chassis fpc') except SchemaEmptyParserError: timeout.sleep() continue # Sample outputs: # # show chassis fpc: # 'fpc-information': { # 'fpc': [{'slot': '0', # 'state': 'Offline'}] # show chassis environment fpc: # {'environment-component-information': { # 'environment-component-item': [ # { # 'name': 'FPC 0', # 'state': 'Online', <----------------- # ... fpc_list = out.q.contains('slot|state', regex=True).get_values('fpc') # Verify all slot have the same expected_state if all_slots: states_set = set(out.q.get_values('state')) if states_set.issubset(set(expected_state)): return True # Verify given slot has the expected_state else: # show chassis environment fpc if environment: items = out.q.get_values("environment-component-item", None) for i in items: slot_pattern = re.compile(r'FPC +(?P<slot>\d+)') slot_match = slot_pattern.match(i['name']) if slot_match: if slot_match.groupdict()['slot'] == expected_slot and i['state'] in expected_state: return True # show chassis fpc else: for fpc in fpc_list: slot = fpc.get('slot') state = fpc.get('state') if slot == expected_slot and state in expected_state: return True timeout.sleep() return False def verify_chassis_re_state(device, expected_re_state, max_time=60, check_interval=10,): """ Verify output of show chassis routing-engine ends as expected state Args: device (`obj`): Device object expected_re_state (`str`): Expected end of output state max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis routing-engine') except SchemaEmptyParserError: return None # Sample output # "route-engine-information": { # "route-engine": [{ # "mastership-state": "Master", # ... # }, # { # "mastership-state": "Backup", # }] # "re-state": {master} re_state = output.q.get_values('re-state') if expected_re_state in re_state: return True timeout.sleep() return False def verify_chassis_slots_present(device, expected_slots, invert=False, max_time=60, check_interval=10,): """ Verify slots present in 'show chassis routing-engine' Args: device (`obj`): Device object expected_slots (`list`): Given slots invert ('bool', 'optional'): Inverts to check if it doesn't exist max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis routing-engine') except SchemaEmptyParserError: return None # Sample output # { # "route-engine-information": { # "route-engine": [{ # ... # "model": "RE-VMX", # "slot": "0", <------------------ # "start-time": { # "#text": "2019-08-29 09:02:22 UTC" # }, slots = output.q.get_values('slot') if not invert: # check if 'slots' has all elements in 'expected' if all(i in slots for i in expected_slots): return True timeout.sleep() else: for slot in slots: if str(slot) == expected_slots: timeout.sleep() continue return True return False def verify_chassis_slot_state(device, expected_slots_states_pairs, max_time=60, check_interval=10,): """ Verify slot's state in 'show chassis routing-engine' Args: device (`obj`): Device object expected_slots_states_pairs (`dict`): Expected states with given slots. E.g.,{'slot1':'state1', 'slot2':'state2'} max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: out = device.parse('show chassis routing-engine') except SchemaEmptyParserError: return None # Sample output # { # "route-engine-information": { # "route-engine": [{ # ... # "model": "RE-VMX", # "mastership-state": "Master", <------------------ # "slot": "0", <----------------- # "start-time": { # "#text": "2019-08-29 09:02:22 UTC" # }, rout=Dq(out).contains('slot|mastership-state',regex=True).reconstruct() # rout example: # {'route-engine-information': {'route-engine': # [{'mastership-state': 'Master', # 'slot': '0'}, # {'mastership-state': 'Backup', # 'slot': '1'}]}} route_engines = Dq(rout).get_values('route-engine') # 'route_engines' example: # [{'mastership-state': 'Master', 'slot': '0'}, # {'mastership-state': 'Backup', 'slot': '1'}] # 'expected_slots_states_pairs' example: # {'0':'master', '1':'backup'} for i in route_engines: if i['slot'] in expected_slots_states_pairs and \ i['mastership-state'].lower() == expected_slots_states_pairs[i['slot']].lower(): return True timeout.sleep() return False def verify_chassis_fan_tray_present(device, fan_tray_list, invert=False, max_time=60, check_interval=10,): """ Verify fan_tray_list is present in 'show chassis hardware' Args: device (`obj`): Device object fan_tray_list (`list`): Given fan tray list invert (`bool',optional): Check fan tray not present. Defaults to False max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis hardware') except SchemaEmptyParserError: return None # Sample output # { # "chassis-inventory": { # "chassis": { # "@junos:style": "inventory", # "chassis-module": [ # { # "name": "Midplane" <-------------------- # }, # { # "description": "RE-VMX", # "name": "Routing Engine 0" modules = output.q.get_values('chassis-module', None) if modules: names = [i['name'] for i in modules] # check if all items in fan_tray_list appears in names # >>> l1=[1,2] # >>> l2=[1,2,3,4] # >>> all(i in l2 for i in l1) # True # >>> all(i in l1 for i in l2) # False if invert: # verify all items in fan_tray_list are not in names if (set(names)-set(fan_tray_list)) == set(names): return True else: if all(i in names for i in fan_tray_list): return True timeout.sleep() continue return False def verify_chassis_environment_present(device, fan_tray_list, expected_status, max_time=60, check_interval=10,): """ Verify all item in fan_tray_list have expected_status in 'show chassis environment' Args: device (`obj`): Device object fan_tray_list (`list`): Given fan tray list expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis environment') except SchemaEmptyParserError: timeout.sleep() continue # Sample output: # {'environment-information': {'environment-item': [ # {'class': 'Fans', # 'comment': '2760 RPM', # 'name': 'Fan Tray 0 Fan 1', <--------------- # 'status': 'OK'}, <-------------------------- # {'class': 'Fans', # 'comment': '2520 RPM', # 'name': 'Fan Tray 0 Fan 2', # 'status': 'OK'},]}} environment_items_list = output.q.get_values('environment-item', None) # Create a {name:status} dictionary name_status_dict = {} if environment_items_list: for item in environment_items_list: # >>> name # 'Fan Tray 0 Fan 2' # >>> m=re.search('(.+?) +Fan +\d+',name).group(1) # >>> m # 'Fan Tray 0' res = re.search('(.+?) +Fan +\d+',item['name']) if not res: continue name = res.group(1) name_status_dict[name] = item['status'] # fan_tray_list = ['Fan Tray 0', 'Fan Tray 1', 'Fan Tray 2', 'Fan Tray 3'] # # name_status_dict = {'Fan Tray 0': 'OK', # 'Fan Tray 1': 'OK', # 'Fan Tray 2': 'Not OK', # 'Fan Tray 3': 'OK' # } # Group all names that have expected_status into a list names_list = [] for name, status in name_status_dict.items(): if status == expected_status: names_list.append(name) # names_list = ['Fan Tray 0', 'Fan Tray 1', 'Fan Tray 3'] # Compare if all fan tray item in fan_tray_list appear in the list if all(i in names_list for i in fan_tray_list): return True timeout.sleep() return False def verify_chassis_no_alarms(device, max_time=60, check_interval=10): """ Verify there are no alarms via 'show chassis alarms' Args: device (`obj`): Device object max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis alarms') except SchemaEmptyParserError: timeout.sleep() continue # { # "alarm-information": { # "alarm-summary": { # "no-active-alarms": True # } # }, # } if output.q.get_values("no-active-alarms",0) == True: return True timeout.sleep() return False def verify_chassis_routing_engine(device, expected_item, invert=False, max_time=60, check_interval=10,): """ Verify fan_tray_list is present in 'show chassis hardware' Args: device (`obj`): Device object expected_item (`str`): Hardware inventory item expected invert ('bool'): Invert function max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis hardware') except SchemaEmptyParserError: return None # Sample output # { # "chassis-inventory": { # "chassis": { # "@junos:style": "inventory", # "chassis-module": [ # { # "name": "Midplane" <-------------------- # }, # { # "description": "RE-VMX", # "name": "Routing Engine 0" modules = output.q.get_values('chassis-module', None) if modules: names = [i['name'] for i in modules] if not invert: for name in names: if name == expected_item: return True else: for name in names: if name == expected_item: timeout.sleep() continue return True timeout.sleep() return False def verify_chassis_hardware_item_present(device, expected_item, invert=False, max_time=60, check_interval=10): """ Verify fan_tray_list is present in 'show chassis hardware' Args: device (`obj`): Device object expected_item (`list`): Item name invert ('bool'): Invert function max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis hardware') except SchemaEmptyParserError: timeout.sleep() continue # Sample output # { # "chassis-inventory": { # "chassis": { # "@junos:style": "inventory", # "chassis-module": [ # { # "name": "Midplane" <-------------------- # }, # { # "description": "RE-VMX", # "name": "Routing Engine 0" item_list = output.q.contains(expected_item).get_values('name') if not invert: if expected_item in item_list: return True else: if expected_item not in item_list: return True timeout.sleep() return False def verify_chassis_environment_component_present(device, name, component_list, expected_status, max_time=60, check_interval=10,): """ Verify all item in fan_tray_list have expected_status in 'show chassis environment' Args: device (`obj`): Device object fan_tray_list (`list`): Given fan tray list expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): result = True try: output = device.parse('show chassis environment {name}'.format( name=name )) except SchemaEmptyParserError: result = False timeout.sleep() continue # fan_tray_list: # - Fan Tray 0 # - Fan Tray 1 # - Fan Tray 2 # - Fan Tray 3 # Sample output: # {'environment-information': {'environment-component-item': [ # {'class': 'Fans', # 'comment': '2760 RPM', # 'name': 'Fan Tray 0 Fan 1', <--------------- # 'status': 'OK'}, <-------------------------- # {'class': 'Fans', # 'comment': '2520 RPM', # 'name': 'Fan Tray 0 Fan 2', # 'status': 'OK'},]}} environment_items_list = output.q.get_values('environment-component-item', None) if environment_items_list: for item in environment_items_list: name_ = item.get('name', None) state_ = item.get('state', None) if name_ in component_list and state_ != expected_status: result = False break if component_list[0] not in output.q.get_values('name', None): timeout.sleep() continue if result: return True timeout.sleep() return False def verify_chassis_power_item_present(device, component_list, expected_status, max_time=60, check_interval=10): """ Verify all item in fan_tray_list have expected_status in 'show chassis environment' Args: device (`obj`): Device object fan_tray_list (`list`): Given fan tray list expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): result = True try: output = device.parse('show chassis power') except SchemaEmptyParserError: result = False timeout.sleep() continue power_usage_item_list = output.q.contains('{}|name'.format( expected_status, ), regex=True).get_values('power-usage-item') if power_usage_item_list: for item in power_usage_item_list: name_ = item.get('name', None) state_ = item.get('state', None) if name_ in component_list and state_ != expected_status: result = False break if result: return True timeout.sleep() return False def verify_chassis_environment_status(device, expected_item, expected_status, max_time=60, check_interval=10,): """ Verify specific item in fan_tray_list has expected_status in 'show chassis environment' Args: device (`obj`): Device object expected_item (`str`): Hardware inventory item expected expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis environment') except SchemaEmptyParserError: return None # Sample output: # {'environment-information': {'environment-item': [ # {'class': 'Fans', # 'comment': '2760 RPM', # 'name': 'Fan Tray 0 Fan 1', <--------------- # 'status': 'OK'}, <-------------------------- # {'class': 'Fans', # 'comment': '2520 RPM', # 'name': 'Fan Tray 0 Fan 2', # 'status': 'OK'},]}} environment_items_list = output.q.get_values('environment-item', None) if environment_items_list: for item in environment_items_list: if item['name'] == expected_item and item['status'] == expected_status: return True timeout.sleep() return True def verify_chassis_alarm_output(device, message_topic, invert=False, max_time=60, check_interval=10): """ Verify message_topic is mentioned via 'show chassis alarms' Args: device (`obj`): Device object message_topic ('str'): Message information that should be in output invert ('bool'): Invert function max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis alarms') except SchemaEmptyParserError: if invert: return True timeout.sleep() continue #"alarm-detail": { # "alarm-class": "Major", # "alarm-description": "PSM 15 Not OK", # "alarm-short-description": "PSM 15 Not OK", # "alarm-time": { # "#text": "2020-07-16 13:38:21 EST", # }, # "alarm-type": "Chassis" # }, # "alarm-summary": { # "active-alarm-count": "1" # } # ['PSM 15 Not OK'] alarm_description = output.q.get_values('alarm-description', None) no_output = output.q.get_values('no-active-alarms', 0) if not invert: if no_output: timeout.sleep() continue for single_description in alarm_description: if message_topic in single_description: return True timeout.sleep() continue else: match_flag = False if no_output: return True for single_description in alarm_description: if message_topic in single_description: match_flag=True if match_flag: timeout.sleep() continue else: return True return False def verify_chassis_usb_flag_exists(device, flag, usb, invert=False, max_time=60, check_interval=10): """ Verify there is/isn't usb flag in given usb in the routing engine via show chassis hardware detail Args: device (`obj`): Device object flag (`str`): USB flag description in output, usb (`str`): USB name in output,, invert (`bool`, optional): Used to indicate a reverse verification. default: False max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: out = device.parse('show chassis hardware detail') except SchemaEmptyParserError: return None # usb: USB # usb_insert_flag: umass # # { # "chassis-inventory": { # "chassis": { # "chassis-module": [ # { # 'chassis-re-usb-module': [{'description': 'umass0', <-----------usb_insert_flag # 'name': 'usb0 ' <------------- usb # '(addr ' # '1)', # 'product': 'EHCI ' # 'root ' # 'hub', # 'product-number': '0', # 'vendor': 'Intel'}]} chassis_module_list = out.q.get_values("chassis-module", None) for module in chassis_module_list: if 'chassis-re-usb-module' in module: usb_module_list = module['chassis-re-usb-module'] for usb_module in usb_module_list: # check if current usb_module has name starts with 'usb' # usb_name: 'usb0 (addr 1)' # usb: 'USB' usb_name = usb_module['name'] if usb.lower() in usb_name: # check if current usb_module has the usb_insert_flag usb_description = usb_module['description'] if flag in usb_description: if invert: return False else: return True timeout.sleep() continue timeout.sleep() if invert: return True else: return False def verify_chassis_alarms_no_error(device, target_fpc, max_time=60, check_interval=10): """ Verify there are no error about target FPC via 'show chassis alarms' Args: device (`obj`): Device object target_fpc (`str`): Target fpc. max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis alarms') except SchemaEmptyParserError: return True errored_pattern = re.compile(r'FPC (?P<slot>\d+) offline due to unreachable destinations') # Sample output # { # "alarm-information": { # "alarm-detail": [{ # "alarm-class": "Major", # "alarm-description": "FPC 15 Not OK", <-------------------------- # "alarm-short-description": "FPC 15 Not OK", # "alarm-time": { # "#text": "2020-07-16 13:38:21 EST", # }, # "alarm-type": "Chassis" # }], # "alarm-summary": { # "active-alarm-count": "1" # } # }, # } description = output.q.get_values('alarm-description', None) for d in description: if errored_pattern.match(d): return True timeout.sleep() return False def verify_chassis_fpc_pic_status(device, expected_state, pic, fpc, max_time=60, check_interval=10): """ Verifies slot state via - show chassis fpc pic-status Args: device (obj): Device object expected_state (str): Expected state of that slot. For example: "Online" pic (int): PIC number fpc (int): FPC number max_time (int, optional): Maximum timeout time. Defaults to 60. check_interval (int, optional): Check interval. Defaults to 10. Returns: True/False """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): out = None try: out = device.parse('show chassis fpc pic-status') except SchemaEmptyParserError: timeout.sleep() continue # Sample output # { # "fpc-information": { # "fpc": [ # { # "description": "DPCE 2x 10GE R", # "pic": [ # { # "pic-slot": "0", # "pic-state": "Online", # "pic-type": "1x 10GE(LAN/WAN)" # }, # { # "pic-slot": "1", <----------------------- pic # "pic-state": "Online", <----------------- expected_state # "pic-type": "1x 10GE(LAN/WAN)" # } # ], # "slot": "0", <----------------------------------- fpc # "state": "Online" # }, fpc_list = out['fpc-information']['fpc'] for fpc_item in fpc_list: if fpc_item['slot'] == str(fpc): pic_list = fpc_item['pic'] for pic_item in pic_list: if pic_item['pic-slot'] == str(pic) and pic_item['pic-state'] == expected_state: return True timeout.sleep() return False def verify_chassis_fpc_pic_not_exists(device, pic, fpc, max_time=60, check_interval=10): """ Verifies PIC slot does not exist via - show chassis fpc pic-status Args: device (obj): Device object pic (int): PIC number fpc (int): FPC number max_time (int, optional): Maximum timeout time. Defaults to 60. check_interval (int, optional): Check interval. Defaults to 10. Returns: True/False """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): out = None try: out = device.parse('show chassis fpc pic-status') except SchemaEmptyParserError: timeout.sleep() continue # Sample output # { # "fpc-information": { # "fpc": [ # { # "description": "DPCE 2x 10GE R", # "pic": [ # { # "pic-slot": "0", # "pic-state": "Online", # "pic-type": "1x 10GE(LAN/WAN)" # }, # { # "pic-slot": "1", <----------------------- pic # "pic-state": "Online", <----------------- expected_state # "pic-type": "1x 10GE(LAN/WAN)" # } # ], # "slot": "0", <----------------------------------- fpc # "state": "Online" # }, fpc_list = out['fpc-information']['fpc'] result = True for fpc_item in fpc_list: if fpc_item['slot'] == str(fpc): pic_list = fpc_item['pic'] for pic_item in pic_list: if pic_item['pic-slot'] == str(pic): result = False if result: return result timeout.sleep() return result def verify_chassis_pic_exists_under_mic(device, mic, fpc, invert=False, max_time=60, check_interval=10): """ Verifies PIC exists under MIC $mic of FPC $fpc via - show chassis hardware Args: device (obj): Device object mic (int): MIC number fpc (int): FPC number invert (bool, optional): True means verifying PIC does not exist max_time (int, optional): Maximum timeout time. Defaults to 60 seconds. check_interval (int, optional): Check interval. Defaults to 10 seconds. Returns: True/False """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): out = None try: out = device.parse('show chassis hardware') except SchemaEmptyParserError: timeout.sleep() continue # Sample output # { # "chassis-inventory": { # "chassis": { # "@junos:style": "inventory", # "chassis-module": [ # { # "chassis-sub-module": [ # { # "chassis-sub-sub-module": [{ # "description": "Virtual", # "name": "PIC 0", <------------------------------------- PIC exists # "part-number": "BUILTIN", # "serial-number": "BUILTIN", # },], # "description": "Virtual", # "name": "MIC 0", <-------------------------------------------- mic # }, # ], # "description": "Virtual FPC", # "name": "FPC 0", <---------------------------------------------------- fpc # }, # ], # "description": "VMX", # "name": "Chassis", # "serial-number": "VM5D4C6B3599", # } # } # } chassis_module_list = out.q.get_values('chassis-module', None) for chassis_module in chassis_module_list: # "name": "FPC 0" if chassis_module['name'] == 'FPC '+str(fpc): chassis_sub_module_list = Dq(chassis_module).get_values('chassis-sub-module', None) for sub in chassis_sub_module_list: # "name": "MIC 0" if sub['name'] == 'MIC '+str(mic): # "chassis-sub-sub-module": [{ # "description": "Virtual", # "name": "PIC 0", # "part-number": "BUILTIN", # "serial-number": "BUILTIN", # },], if 'chassis-sub-sub-module' in sub: # >>> d1={'name':'aa'} # >>> d2={'name':'bb'} # >>> l=[d1,d2] # >>> names=[i['name'] for i in l] # >>> names # ['aa', 'bb'] # >>> names_list = [i['name'] for i in sub['chassis-sub-sub-module']] # >>> l=['PIC 0', 'ABC'] # >>> ['PIC' in i for i in l] # [True, False] # >>> if invert: if not(True in ['PIC' in i for i in names_list]): return True else: if True in ['PIC' in i for i in names_list]: return True else: if invert: return True timeout.sleep() return False def verify_chassis_mic_exists_under_fpc(device, mic, fpc, invert=False, max_time=60, check_interval=10): """ Verifies MIC $mic exists under FPC $fpc via - show chassis hardware Args: device (obj): Device object mic (int): MIC number fpc (int): FPC number invert (bool, optional): True means verifying PIC does not exist max_time (int, optional): Maximum timeout time. Defaults to 60 seconds. check_interval (int, optional): Check interval. Defaults to 10 seconds. Returns: True/False """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): out = None try: out = device.parse('show chassis hardware') except SchemaEmptyParserError: timeout.sleep() continue # Sample output # { # "chassis-inventory": { # "chassis": { # "@junos:style": "inventory", # "chassis-module": [ # { # "chassis-sub-module": [ # { # "description": "Virtual", # "name": "MIC 0", <-------------------------------------------- mic # }, # ], # "description": "Virtual FPC", # "name": "FPC 0", <---------------------------------------------------- fpc # }, # ], # "description": "VMX", # "name": "Chassis", # "serial-number": "VM5D4C6B3599", # } # } # } chassis_module_list = out.q.get_values('chassis-module', None) for chassis_module in chassis_module_list: # "name": "FPC 0" if chassis_module['name'] == 'FPC '+str(fpc): chassis_sub_module_list = Dq(chassis_module).get_values('chassis-sub-module', None) if invert and chassis_sub_module_list==[]: return True # find all names in chassis-sub-module names_list = [sub['name'] for sub in chassis_sub_module_list] # "name": "MIC 0" current_name = 'MIC '+str(mic) if invert: if current_name not in names_list: return True else: if current_name in names_list: return True timeout.sleep() return False def verify_chassis_no_error_fpc_mic(device, mic, fpc, max_time=60, check_interval=10): """ Verifies no errored FPC $fpc MIC $mic - show chassis alarms Args: device (obj): Device object mic (int): MIC number fpc (int): FPC number max_time (int, optional): Maximum timeout time. Defaults to 60 seconds. check_interval (int, optional): Check interval. Defaults to 10 seconds. Returns: True/False """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): out = None try: out = device.parse('show chassis alarms') except SchemaEmptyParserError: return True # Sample output # { # "alarm-information": { # "alarm-detail": [{ # "alarm-class": "Major", # "alarm-description": "PSM 15 Not OK", <------------------ # "alarm-short-description": "PSM 15 Not OK", # "alarm-time": { # "#text": "2020-07-16 13:38:21 EST", # }, # "alarm-type": "Chassis" # }], # "alarm-summary": { # "active-alarm-count": "1" # } # }, # } errored_pattern = re.compile(r'FPC +(?P<fpc>\d+) +PIC +(?P<pic>\d+) +Invalid +port +profile +configuration') description = out.q.get_values("alarm-description", None) for d in description: if errored_pattern.match(d): return False timeout.sleep() return True def verify_chassis_environment_multiple_status(device, expected_item, expected_status, max_time=60, check_interval=10): """ Verify specific items status in 'show chassis environment' Args: device (`obj`): Device object expected_item (`str`): Hardware inventory item expected expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis environment') except SchemaEmptyParserError: timeout.sleep() continue # Sample output: # {'environment-information': {'environment-item': [ # {'class': 'Fans', # 'comment': '2760 RPM', # 'name': 'Fan Tray 0 Fan 1', <--------------- # 'status': 'OK'}, <-------------------------- # {'class': 'Fans', # 'comment': '2520 RPM', # 'name': 'Fan Tray 0 Fan 2', # 'status': 'OK'},]}} environment_items_list = output.q.get_values('environment-item', None) if environment_items_list: for item in environment_items_list: if re.search(r"{} +([\S\s]+)".format(expected_item), item['name']) and item['status'] == expected_status: return True timeout.sleep() return False def verify_chassis_fabric_summary_status(device, expected_item, expected_status, max_time=60, check_interval=10): """ Verify specific items status in 'show chassis fabric summary' Args: device (`obj`): Device object expected_item (`list`): chassis fabric item expected expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis fabric summary') except SchemaEmptyParserError: timeout.sleep() continue # Sample output: # "fm-state-item": [ # { # "plane-slot": "0", # "state": "Online", # "up-time": "34 days, 18 hours, 43 minutes, 48 seconds" # }, # { # "plane-slot": "1", # "state": "Online", # "up-time": "34 days, 18 hours, 43 minutes, 47 seconds" # } fm_state_item = output.q.get_values('fm-state-item', None) if fm_state_item: for item in fm_state_item: if str(item['plane-slot']) == str(expected_item) and item['state'].lower() == expected_status.lower(): return True timeout.sleep() return False def verify_chassis_fabric_plane_status(device, expected_item, expected_status, max_time=60, check_interval=10): """ Verify specific items status in 'show chassis fabric plane' Args: device (`obj`): Device object expected_item (`list`): Chassis fabric items expected expected_status (`str`): Expected status max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis fabric plane') except SchemaEmptyParserError: timeout.sleep() continue # Sample output: # "fmp-plane": [ # { # "fru-name": [ # "FPC", # "FPC" # ], # "fru-slot": [ # "0", # "1" # ], # "pfe-link-status": [ # "Links ok", # "Links ok", # "Links ok", # "Links ok" # ], # "pfe-slot": [ # "0", # "1", # "0", # "1" # ], # "slot": "0", # "state": "ACTIVE" # } fm_state_item = output.q.get_values('fmp-plane', None) if fm_state_item: for item in fm_state_item: if item and item['slot'] == expected_item and item['state'].lower() == expected_status.lower(): return True timeout.sleep() return False def verify_chassis_environment_item(device, expected_item, invert=False, max_time=60, check_interval=10): """ Verify specific item in show chassis environment exists or doesn't exist Args: device (`obj`): Device object expected_item (`str`): Hardware inventory item expected invert ('bool', 'optional'): Inverts to check if it doesn't exist max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis environment') except SchemaEmptyParserError: if invert: return True timeout.sleep() continue # Sample output: # {'environment-information': {'environment-item': [ # {'class': 'Fans', # 'comment': '2760 RPM', # 'name': 'Fan Tray 0 Fan 1', <--------------- # 'status': 'OK'}, <-------------------------- # {'class': 'Fans', # 'comment': '2520 RPM', # 'name': 'Fan Tray 0 Fan 2', # 'status': 'OK'},]}} environment_items_list = output.q.get_values('name', None) if environment_items_list: if not invert: if expected_item in environment_items_list : return True else: if expected_item not in environment_items_list : return True timeout.sleep() return False def verify_chassis_fabric_plane_exists(device, expected_item, invert=False, max_time=60, check_interval=10): """ Verify specific items status in 'show chassis fabric summary' Args: device (`obj`): Device object expected_item (`list`): Chassis fabric items expected invert ('bool', 'optional'): Inverts to check if it doesn't exist max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis fabric plane') except SchemaEmptyParserError: timeout.sleep() continue # Sample output: # "fmp-plane": [ # { # "fru-name": [ # "FPC", # "FPC" # ], # "fru-slot": [ # "0", # "1" # ], # "pfe-link-status": [ # "Links ok", # "Links ok", # "Links ok", # "Links ok" # ], # "pfe-slot": [ # "0", # "1", # "0", # "1" # ], # "slot": "0", # "state": "ACTIVE" # } fm_state_item = output.q.get_values('slot', None) if not invert: if expected_item in fm_state_item: return True else: if expected_item not in fm_state_item: return True timeout.sleep() return True def verify_chassis_fpc_slot_port(device, fpc_slot, pic_slot, expected_pic_port, invert=False, max_time=60, check_interval=10): """Verifies chassis fpc slot exists Args: device (obj): Device object fpc_slot (str/int): FPC slot number pic_slot (str/int): PIC slot number expected_pic_port (str): Expected PIC port invert (bool): Inverts function max_time (int, optional): Maximum timeout time. Defaults to 60. check_interval (int, optional): Check interval. Defaults to 10. """ op = operator.truth if invert: op = lambda val: operator.not_(operator.truth(val)) timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: out = device.parse('show chassis pic fpc-slot {fpc_slot} pic-slot {pic_slot}'.format( fpc_slot=fpc_slot, pic_slot=pic_slot, )) except SchemaEmptyParserError: timeout.sleep() continue """ schema = { "fpc-information": { "fpc": { "pic-detail": { "port-information": { "port": [ { "port-number": str, """ if op(str(expected_pic_port) in out.q.get_values('port-number')): return True def verify_chassis_environment_item(device, expected_item, invert=False, max_time=60, check_interval=10): """ Verify specific item in show chassis environment exists or doesn't exist Args: device (`obj`): Device object expected_item (`str`): Hardware inventory item expected invert ('bool', 'optional'): Inverts to check if it doesn't exist max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis environment') except SchemaEmptyParserError: if invert: return True timeout.sleep() continue # Sample output: # {'environment-information': {'environment-item': [ # {'class': 'Fans', # 'comment': '2760 RPM', # 'name': 'Fan Tray 0 Fan 1', <--------------- # 'status': 'OK'}, <-------------------------- # {'class': 'Fans', # 'comment': '2520 RPM', # 'name': 'Fan Tray 0 Fan 2', # 'status': 'OK'},]}} environment_items_list = output.q.get_values('name', None) if environment_items_list: if not invert: if expected_item in environment_items_list : return True else: if expected_item not in environment_items_list : return True timeout.sleep() return False def verify_chassis_fabric_plane_exists(device, expected_item, invert=False, max_time=60, check_interval=10): """ Verify specific items status in 'show chassis fabric summary' Args: device (`obj`): Device object expected_item (`list`): Chassis fabric items expected invert ('bool', 'optional'): Inverts to check if it doesn't exist max_time (`int`): Max time, default: 60 seconds check_interval (`int`): Check interval, default: 10 seconds Returns: result (`bool`): Verified result Raises: N/A """ timeout = Timeout(max_time, check_interval) while timeout.iterate(): try: output = device.parse('show chassis fabric plane') except SchemaEmptyParserError: timeout.sleep() continue # Sample output: # "fmp-plane": [ # { # "fru-name": [ # "FPC", # "FPC" # ], # "fru-slot": [ # "0", # "1" # ], # "pfe-link-status": [ # "Links ok", # "Links ok", # "Links ok", # "Links ok" # ], # "pfe-slot": [ # "0", # "1", # "0", # "1" # ], # "slot": "0", # "state": "ACTIVE" # } fm_state_item = output.q.get_values('slot', None) if not invert: if expected_item in fm_state_item: return True else: if expected_item not in fm_state_item: return True timeout.sleep() return False

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Python

deep_rl/network/__init__.py

runjerry/HyperDeepRL

516be7cd9ee38a2f3ef6751dbd6a7b3d576febea

[ "MIT" ]

null

deep_rl/network/__init__.py

runjerry/HyperDeepRL

516be7cd9ee38a2f3ef6751dbd6a7b3d576febea

[ "MIT" ]

2

2019-12-09T23:12:26.000Z

2019-12-09T23:46:23.000Z

deep_rl/network/__init__.py

runjerry/HyperDeepRL

516be7cd9ee38a2f3ef6751dbd6a7b3d576febea

[ "MIT" ]

1

2020-03-25T18:33:38.000Z

from .network_utils import * from .network_bodies import * from .network_heads import * from .hyper_heads import * from .hyper_bodies import *

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py

Python

Optimization/build_co_optimization.py

nickolasclarke/anciML

365e46a7042e358c9288ec67c2eb744b4fbdea1a

[ "MIT" ]

2

2020-07-11T14:11:24.000Z

2021-03-18T02:39:15.000Z

Optimization/build_co_optimization.py

nickolasclarke/anciML

365e46a7042e358c9288ec67c2eb744b4fbdea1a

[ "MIT" ]

1

2020-04-30T20:17:20.000Z

Optimization/build_co_optimization.py

nickolasclarke/anciML

365e46a7042e358c9288ec67c2eb744b4fbdea1a

[ "MIT" ]

1

2020-11-26T12:50:01.000Z

import pandas as pd import pyomo.environ as pyo import numpy as np class HybridDeterministic: """ Pyomo implementation of LP hybrid, with perfect DAM foresight and certain solar resource """ def __init__(self, model, E_price, solar_cf,ASM_price): self.model = model self.model.IDX = pyo.RangeSet(0, 8759) self.model.E_price = E_price self.model.ASM_price = ASM_price self.model.solar_cf = solar_cf def build(self, model, storage_size, eff, s_max, storage_power, solar_plant_size, grid_limit): # ------------------ Parameters ---------------------------# #Sizing based on: https://www.nrel.gov/docs/fy19osti/71714.pdf model.storage_size = storage_size # in [MWh] model.eff = eff # [0,1] usually 75% to 90% model.s_max = s_max # AC interconnection limit in [MW] model.storage_power = storage_power # in [MW] model.solar_plant_size = solar_plant_size # in [MW] model.solar_gen = model.solar_plant_size * model.solar_cf # in [MW] # --------------- Optimization variables ------------------# model.negcharge = pyo.Var(model.IDX, bounds=(0.00, model.storage_power)) model.poscharge = pyo.Var(model.IDX, bounds=(0.00, model.storage_power)) model.energy_gen = pyo.Var(model.IDX, bounds=(-np.inf, np.inf)) # Interconnection limit included in bounds model.soc = pyo.Var(model.IDX, bounds=(0.00, model.storage_size)) # SOC bounds include size of storage system model.reg = pyo.Var(model.IDX, bounds=(0.00, model.storage_power*2)) # bounds for regulation product provided model.E0 = 0 # Storage starts empty model.grid_limit = grid_limit ## no grid charging = 0, grid chargeing = 1 model.reg_penalty = 0.2 ## how much energy lost by providing regulation service # -------------------- Objective fct. ---------------------# # Objective function def Objective_rule(m): expr = sum([model.E_price[t] * model.energy_gen[t] for t in model.IDX]+ [model.ASM_price[t] * model.reg[t] for t in model.IDX]) return expr model.Max_Revenue = pyo.Objective(rule=Objective_rule, sense=pyo.maximize) # ----------------- Constraints ----------------------------# # Export limits - unecertainty paramenters def grid_import_limit(model, t): return model.energy_gen[t] >= -model.storage_power*model.grid_limit model.grid_import_limit = pyo.Constraint(model.IDX, rule=grid_import_limit) # Export limits - unecertainty paramenters def grid_export_limit(model, t): return model.energy_gen[t] <= model.s_max model.grid_export_limit = pyo.Constraint(model.IDX, rule=grid_export_limit) # Grid balance equation def grid_balance_rule(model, t): return model.energy_gen[t] == model.negcharge[t] - model.poscharge[t] + model.solar_gen[t] model.grid_balance_const = pyo.Constraint(model.IDX, rule=grid_balance_rule) # Battery SOC equation def storage_soc_rule(model, t): if t == model.IDX.first(): expr = model.soc[t] == model.E0 + model.poscharge[t] - model.eff * model.negcharge[t] / model.eff + model.reg[t] * model.reg_penalty else: expr = model.soc[t] == model.soc[t - 1] + model.eff * model.poscharge[t] - model.negcharge[t] / model.eff + model.reg[t] * model.reg_penalty return expr model.storage_soc_const = pyo.Constraint(model.IDX, rule=storage_soc_rule) # Simultaneous rule def limit_simultaneous_rule(model, t): return model.negcharge[t] + model.poscharge[t] <= model.storage_power model.limit_simultaneous_const = pyo.Constraint(model.IDX, rule=limit_simultaneous_rule) #regulation product def regulation_product_rule(model, t): return model.reg[t] <= model.storage_power + model.negcharge[t] - model.poscharge[t] model.regulation_product = pyo.Constraint(model.IDX, rule=regulation_product_rule) return model class HybridCC_normal(): """ Pyomo implementation of SOCP ??? Ask Scott""" def __init__(self, model, E_price ,ASM_price, solar_mean_cf, solar_std_cf, inv_cdf): self.model = model self.model.IDX = pyo.RangeSet(0, 8759) self.model.E_price = E_price self.model.ASM_price = ASM_price #self.model.solar_cf = solar_cf ### self.model.solar_mean_cf = solar_mean_cf self.model.solar_std_cf = solar_std_cf self.model.invd = inv_cdf def build(self, model, storage_size, eff, s_max, storage_power, solar_plant_size, grid_limit): # ------------------ Parameters ---------------------------# #Sizing based on: https://www.nrel.gov/docs/fy19osti/71714.pdf model.storage_size = storage_size # in [MWh] model.eff = eff # [0,1] usually 75% to 90% model.s_max = s_max # AC interconnection limit in [MW] model.storage_power = storage_power # in [MW] model.solar_plant_size = solar_plant_size # in [MW] model.solar_gen = model.solar_plant_size * model.solar_mean_cf # in [MW] # --------------- Optimization variables ------------------# model.negcharge = pyo.Var(model.IDX, bounds=(0.00, model.storage_power)) model.poscharge = pyo.Var(model.IDX, bounds=(0.00, model.storage_power)) model.soc = pyo.Var(model.IDX, bounds=(0.00, model.storage_size)) # SOC bounds include size of storage system model.reg = pyo.Var(model.IDX, bounds=(0.00, model.storage_power*2)) # bounds for regulation product provided model.E0 = 0 # Storage starts empty model.grid_limit = grid_limit ## no grid charging = 0, grid chargeing = 1 model.reg_penalty = 0.2 ## how much energy lost by providing regulation service # -------------------- Objective fct. ---------------------# # Objective function def Objective_rule(m): expr = sum([model.E_price[t] * (model.negcharge[t] - model.poscharge[t] + model.solar_gen[t]) for t in model.IDX] + [model.ASM_price[t] * model.reg[t] for t in model.IDX]) return expr model.Max_Revenue = pyo.Objective(rule=Objective_rule, sense=pyo.maximize) # ----------------- Constraints ----------------------------# # Grid balance equation - UNCERTAIN parameters def grid_balance_rule_import(model, t): return (-model.poscharge[t] + model.negcharge[t] + model.solar_gen[t] + model.storage_power*model.grid_limit) >= \ model.invd * model.solar_std_cf[t] #could add plus model.storage_power if chatging from grid allowed model.grid_balance_rule_import = pyo.Constraint(model.IDX, rule=grid_balance_rule_import) # Grid balance equation - UNCERTAIN parameters def grid_balance_rule_export(model, t): return (model.poscharge[t] - model.negcharge[t] - model.solar_gen[t] + model.s_max) >= \ model.invd*model.solar_std_cf[t] model.grid_balance_rule_export = pyo.Constraint(model.IDX, rule=grid_balance_rule_export) # Battery SOC equation def storage_soc_rule(model, t): if t == model.IDX.first(): expr = model.soc[t] == model.E0 + model.poscharge[t] - model.eff * model.negcharge[t] / model.eff + model.reg[t] * model.reg_penalty else: expr = model.soc[t] == model.soc[t - 1] + model.eff * model.poscharge[t] - model.negcharge[t] / model.eff + model.reg[t] * model.reg_penalty return expr model.storage_soc_const = pyo.Constraint(model.IDX, rule=storage_soc_rule) # Simultaneous rule def limit_simultaneous_rule(model, t): return model.negcharge[t] + model.poscharge[t] <= model.storage_power model.limit_simultaneous_const = pyo.Constraint(model.IDX, rule=limit_simultaneous_rule) #regulation product def regulation_product_rule(model, t): return model.reg[t] <= model.storage_power + model.negcharge[t] - model.poscharge[t] model.regulation_product = pyo.Constraint(model.IDX, rule=regulation_product_rule) return model class HybridCC_cdf(): """ Pyomo implementation of SOCP ??? Ask Scott I tried to follow the idea of HW3 PB5, but I am not sure how to model storage component (or how to write constrain in pyomo) I think Appendix A of this article can help: https://arxiv.org/pdf/1906.04108.pdf """ """ Pyomo implementation of LP hybrid, with perfect DAM foresight and certain solar resource """ def __init__(self, model, E_price , ASM_price, inv_cdf): self.model = model self.model.IDX = pyo.RangeSet(0, 8759) self.model.E_price = E_price self.model.ASM_price = ASM_price self.model.inv_cdf = inv_cdf def build(self, model, storage_size, eff, s_max, storage_power, solar_plant_size, grid_limit): # ------------------ Parameters ---------------------------# #Sizing based on: https://www.nrel.gov/docs/fy19osti/71714.pdf model.storage_size = storage_size # in [MWh] model.eff = eff # [0,1] usually 75% to 90% model.s_max = s_max # AC interconnection limit in [MW] model.storage_power = storage_power # in [MW] model.solar_plant_size = solar_plant_size # in [MW] model.solar_gen = model.solar_plant_size * model.inv_cdf # in [MW] # --------------- Optimization variables ------------------# model.negcharge = pyo.Var(model.IDX, bounds=(0.00, model.storage_power)) model.poscharge = pyo.Var(model.IDX, bounds=(0.00, model.storage_power)) model.soc = pyo.Var(model.IDX, bounds=(0.00, model.storage_size)) # SOC bounds include size of storage system model.reg = pyo.Var(model.IDX, bounds=(0.00, model.storage_power*2)) # bounds for regulation product provided model.E0 = 0 # Storage starts empty model.grid_limit = grid_limit ## no grid charging = 0, grid chargeing = 1 model.reg_penalty = 0.2 ## how much energy lost by providing regulation service # -------------------- Objective fct. ---------------------# # Objective function def Objective_rule(m): expr = sum([model.E_price[t] * (model.negcharge[t] - model.poscharge[t] + model.solar_gen[t]) + model.ASM_price[t] * model.reg[t] for t in model.IDX]) return expr model.Max_Revenue = pyo.Objective(rule=Objective_rule, sense=pyo.maximize) # ----------------- Constraints ----------------------------# # Grid balance equation - UNCERTAIN parameters def grid_balance_rule_import(model, t): return -model.poscharge[t] + model.negcharge[t] + model.solar_gen[t] >= \ -model.storage_power*model.grid_limit model.grid_balance_rule_import = pyo.Constraint(model.IDX, rule=grid_balance_rule_import) # Grid balance equation - UNCERTAIN parameters def grid_balance_rule_export(model, t): return model.poscharge[t] - model.negcharge[t] - model.solar_gen[t] >= \ -model.s_max model.grid_balance_rule_export = pyo.Constraint(model.IDX, rule=grid_balance_rule_export) # Battery SOC equation def storage_soc_rule(model, t): if t == model.IDX.first(): expr = model.soc[t] == model.E0 + model.poscharge[t] - model.eff * model.negcharge[t] / model.eff + model.reg[t] * model.reg_penalty else: expr = model.soc[t] == model.soc[t - 1] + model.eff * model.poscharge[t] - model.negcharge[t] / model.eff + model.reg[t] * model.reg_penalty return expr model.storage_soc_const = pyo.Constraint(model.IDX, rule=storage_soc_rule) # Simultaneous rule def limit_simultaneous_rule(model, t): return model.negcharge[t] + model.poscharge[t] <= model.storage_power model.limit_simultaneous_const = pyo.Constraint(model.IDX, rule=limit_simultaneous_rule) #regulation product def regulation_product_rule(model, t): return model.reg[t] <= model.storage_power + model.negcharge[t] - model.poscharge[t] model.regulation_product = pyo.Constraint(model.IDX, rule=regulation_product_rule) return model def ResultsAnalysisDet(model, filename): # ------------------------ Optimization result ---------------------# #Objective value in $ Max_Revenue = pyo.value(model.Max_Revenue) # ------------------------ Optimization variables ---------------------# # Save the schedule in python object solar_gen = pd.Series(model.solar_gen) energy_price = pd.Series(model.E_price) as_price = pd.Series(model.ASM_price) energy_gen = pd.Series([round(model.energy_gen[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) negcharge = pd.Series([round(model.negcharge[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) poscharge = pd.Series([round(model.poscharge[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) soc = pd.Series([round(model.soc[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) reg = pd.Series([round(model.reg[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) schedule = pd.DataFrame({'energy_gen':energy_gen, 'solar_gen':solar_gen,'energy_price':energy_price,'as_price':as_price, 'storage_out':negcharge, 'storage_in':poscharge, 'storage_soc':soc, 'regulation_sell':reg}) #Save the schedule in an excel writer = pd.ExcelWriter(filename) schedule.to_excel(writer, 'OptVariables') # -------------------------- Dual variables ---------------------# #Save dual variable values in python object and excel i=0 for c in model.component_objects(pyo.Constraint, active=True): name = ['AC import', 'AC export', 'Storage SOC rule', 'Simultaneous rule', 'Grid Balance', 'Regulation product'] dual_vb = pd.Series([round(model.dual[c[index]], 3) for index in c], index=[t for t in model.IDX]) constraint = pd.DataFrame({name[i]: dual_vb}) constraint.to_excel(writer, name[i]) i=i+1 writer.save() return Max_Revenue def ResultsAnalysisML(model, filename, ASM_price, E_price): # ------------------------ Optimization variables ---------------------# # Save the schedule in python object solar_gen = pd.Series(model.solar_gen) energy_price = pd.Series(model.E_price) as_price = pd.Series(model.ASM_price) energy_gen = pd.Series([round(model.energy_gen[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) negcharge = pd.Series([round(model.negcharge[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) poscharge = pd.Series([round(model.poscharge[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) soc = pd.Series([round(model.soc[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) reg = pd.Series([round(model.reg[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) schedule = pd.DataFrame({'energy_gen':energy_gen, 'solar_gen':solar_gen,'energy_price':energy_price,'as_price':as_price, 'storage_out':negcharge, 'storage_in':poscharge, 'storage_soc':soc, 'regulation_sell':reg}) # ------------------------ Comparison result ---------------------# # Objective value in $ Max_Revenue = sum([E_price[t] * energy_gen[t] + ASM_price[t] * reg[t] for t in range(0,8760)]) return Max_Revenue def ResultsAnalysisCC(model, filename, true_solar_gen): # ------------------------ Optimization result ---------------------# #Objective value in $ Max_Revenue_opt = pyo.value(model.Max_Revenue) # ------------------------ Optimization variables ---------------------# # Save the schedule in python object solar_gen = pd.Series(model.solar_gen) energy_price = pd.Series(model.E_price) as_price = pd.Series(model.ASM_price) negcharge = pd.Series([round(model.negcharge[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) poscharge = pd.Series([round(model.poscharge[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) soc = pd.Series([round(model.soc[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) reg = pd.Series([round(model.reg[t].value, 3) for t in model.IDX], index=[t for t in model.IDX]) schedule = pd.DataFrame({'solar_gen':solar_gen,'energy_price':energy_price,'as_price':as_price, 'storage_out':negcharge, 'storage_in':poscharge, 'storage_soc':soc, 'regulation_sell':reg}) #Save the schedule in an excel writer = pd.ExcelWriter(filename) schedule.to_excel(writer, 'OptVariables') # -------------------------- Dual variables ---------------------# #Save dual variable values in python object and excel i=0 for c in model.component_objects(pyo.Constraint, active=True): name = ['AC import', 'AC export', 'Storage SOC rule', 'Simultaneous rule', 'Regulation product'] dual_vb = pd.Series([round(model.dual[c[index]], 3) for index in c], index=[t for t in model.IDX]) constraint = pd.DataFrame({name[i]: dual_vb}) constraint.to_excel(writer, name[i]) i=i+1 writer.save() Max_Revenue_for = sum([energy_price[t] * (negcharge[t] - poscharge[t] + true_solar_gen[t]) + as_price[t] * reg[t] for t in range(0, 8760)]) return Max_Revenue_opt, Max_Revenue_for

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Python

tests/test_lib.py

nyurik/py-ascii-graph

09ca5901be94ec3563bdcc25d6396e18fd8ca5df

[ "MIT" ]

107

2015-04-07T17:04:25.000Z

2021-12-10T03:48:10.000Z

tests/test_lib.py

nyurik/py-ascii-graph

09ca5901be94ec3563bdcc25d6396e18fd8ca5df

[ "MIT" ]

16

2015-04-07T20:14:02.000Z

2022-01-27T03:24:18.000Z

tests/test_lib.py

TheDen/py-ascii-graph

01864cd355e6584a4a01b6d241a6a9e2f4d67269

[ "MIT" ]

20

2015-02-05T19:57:47.000Z

2021-12-10T03:47:58.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import with_statement from __future__ import unicode_literals from ascii_graph.colors import * import pytest import sys from ascii_graph import Pyasciigraph def u(x): if sys.version < '3': import codecs return codecs.unicode_escape_decode(x)[0] else: return x def gprint(res): for l in res: print(l) class TestLib(object): def test_unsorted_default_params(self): test = [('long_labe☭', 423), ('sl', 1234), ('line3', 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph() res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', '████████████████████ 423 long_labe☭', '█████████████████████████████████████████████████████████████ 1234 sl ', '██████████████████████████ 531 line3 ', '█████████ 200 line4 ', '█████████████████████████████████████████ 834 line5 ', ] gprint(res) gprint(expected) assert res == expected def test_noansi_info(self): test = [('long_labe☭ (\033[92m+\033[0m)', 423), ('sl (\033[91m-\033[0m)', 1234), ('line3 (\033[91m-\033[0m)', 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph() res = graph.graph('☭test print', test) expected = [u'\u262dtest print', u'###############################################################################', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 423 long_labe\u262d (\x1b[92m+\x1b[0m)', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 1234 sl (\x1b[91m-\x1b[0m) ', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 531 line3 (\x1b[91m-\x1b[0m) ', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 200 line4 ', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 834 line5 '] gprint(res) gprint(expected) assert res == expected def test_float_format(self): test = [('long_labe☭', 423.197), ('sl', 1234.12341), ('line3', 531.11), ('line4', 200), ('line5', 834)] graph = Pyasciigraph(float_format='{0:,.2f}') res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', '███████████████████ 423.20 long_labe☭', '█████████████████████████████████████████████████████████ 1,234.12 sl ', '████████████████████████ 531.11 line3 ', '█████████ 200.00 line4 ', '██████████████████████████████████████ 834.00 line5 ', ] gprint(res) gprint(expected) assert res == expected def test_zeros(self): test = [('long_labe☭', 0), ('sl', 0), ('line3', 0), ('line4', 0), ('line5', 0)] graph = Pyasciigraph() res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', ' 0 long_labe☭', ' 0 sl ', ' 0 line3 ', ' 0 line4 ', ' 0 line5 ', ] gprint(res) gprint(expected) assert res == expected def test_human_readable_si(self): test = [('long_labe☭', 1234), ('sl', 1231234), ('line3', 1231231234), ('line4', 1231231231234), ('line5', 1231231231231234), ('line6', 1231231231231231234), ('line7', 1231231231231231231234), ('line8', 1231231231231231231231234), ('line9', 123231231231231231231231234)] graph = Pyasciigraph(human_readable='si') res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', ' 1K long_labe☭', ' 1M sl ', ' 1G line3 ', ' 1T line4 ', ' 1P line5 ', ' 1E line6 ', ' 1Z line7 ', ' 1Y line8 ', '█████████████████████████████████████████████████████████████ 123Y line9 ', ] gprint(res) gprint(expected) assert res == expected def test_human_readable_cs(self): test = [('long_labe☭', 1234), ('sl', 1231234), ('line3', 1231231234), ('line4', 1231231231234), ('line5', 1231231231231234), ('line6', 1231231231231231234), ('line7', 1231231231231231231234), ('line8', 1231231231231231231231234)] graph = Pyasciigraph(human_readable='cs') res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', ' 1K long_labe☭', ' 1M sl ', ' 1G line3 ', ' 1T line4 ', ' 1P line5 ', ' 1E line6 ', ' 1Z line7 ', '███████████████████████████████████████████████████████████████ 1Y line8 ' ] gprint(res) gprint(expected) assert res == expected def test_type_output(self): test = [('long_labe☭', 423), ('sl', 1234), ('line3', 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph() res = graph.graph('test print', test) if sys.version < '3': expected = unicode else: expected = str for line in res: assert type(line) == expected def test_convert_label(self): test = [(1, 423), (2, 1234), (3, 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph() res = graph.graph('test print', test) expected = [ 'test print', '###############################################################################', '██████████████████████ 423 1 ', '██████████████████████████████████████████████████████████████████ 1234 2 ', '████████████████████████████ 531 3 ', '██████████ 200 line4', '████████████████████████████████████████████ 834 line5', ] gprint(res) gprint(expected) assert res == expected def test_no_label(self): test = [(1, 423), (2, 1234), (3, 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph() res = graph.graph(data=test) expected = [ '██████████████████████ 423 1 ', '██████████████████████████████████████████████████████████████████ 1234 2 ', '████████████████████████████ 531 3 ', '██████████ 200 line4', '████████████████████████████████████████████ 834 line5', ] gprint(res) gprint(expected) assert res == expected def test_vcolor(self): from ascii_graph.colordata import vcolor test = [('testval0', 600), ('testval1', 500), ('testval2', 400), ('testval3', 400), ('testval4', 300), ('testval5', 200), ('testval6', 100), ('testval7', 50 )] expected = [('testval0', 600, Gre), ('testval1', 500, Yel), ('testval2', 400, Red), ('testval3', 400, Gre), ('testval4', 300, Yel), ('testval5', 200, Red), ('testval6', 100, Gre), ('testval7', 50, Yel)] pattern = [Gre, Yel, Red] data = vcolor(test, pattern) assert data == expected def test_alternate_graphsymbol(self): test = [('long_labe☭', 423), ('sl', 1234), ('line3', 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph(graphsymbol='*') res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', '******************** 423 long_labe☭', '************************************************************* 1234 sl ', '************************** 531 line3 ', '********* 200 line4 ', '***************************************** 834 line5 ', ] gprint(res) gprint(expected) assert res == expected def test_graphsymbol_bad_length(self): test = [('long_labe☭', 423), ('sl', 1234), ('line3', 531), ('line4', 200), ('line5', 834)] with pytest.raises(Exception) as e: graph = Pyasciigraph(graphsymbol='*0') def test_color_graphs(self): test = [('testval0', 142), ('testval1', 204, BPur), ('testval2', 501, URed), ('testval3', 103, IRed), ('testval4', 29, BIGre), ('testval5', 19, UYel), ('testval6', 99, ICya), ('testval7', 404, BBlu)] graph = Pyasciigraph() res = graph.graph('test graph', test) expected = [u'test graph', u'###############################################################################', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 142 testval0', u'\x1b[1;35m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[1;35m204\x1b[0m testval1', u'\x1b[4;31m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[4;31m501\x1b[0m testval2', u'\x1b[0;91m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;91m103\x1b[0m testval3', u'\x1b[1;92m\u2588\u2588\u2588\x1b[0m \x1b[1;92m29\x1b[0m testval4', u'\x1b[4;33m\u2588\u2588\x1b[0m \x1b[4;33m19\x1b[0m testval5', u'\x1b[0;96m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;96m99\x1b[0m testval6', u'\x1b[1;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[1;34m404\x1b[0m testval7'] gprint(res) gprint(expected) assert res == expected def test_mulivalue_color_graphs(self): test = [('testval0', 600), ('testval1', 400, Red), ('testval2', [(300, Gre),(500, Blu)]), ('testval3', [(200, Yel),(100,)]), ('testval4', 100, Cya), ('testval5', 50, Blu), ('testval6', [(100, Gre), (150, Red), (200, Yel), (600, Blu)]) ] graph = Pyasciigraph(separator_length=4) res = graph.graph('test graph', test) expected = [u'test graph', u'#################################################################################', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 600 testval0', u'\x1b[0;31m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;31m400\x1b[0m testval1', u'\x1b[0;32m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;32m300\x1b[0m,\x1b[0;34m500\x1b[0m testval2', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0;33m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;33m200\x1b[0m,100 testval3', u'\x1b[0;36m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;36m100\x1b[0m testval4', u'\x1b[0;34m\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;34m50\x1b[0m testval5', u'\x1b[0;32m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;31m\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;33m\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;32m100\x1b[0m,\x1b[0;31m150\x1b[0m,\x1b[0;33m200\x1b[0m,\x1b[0;34m600\x1b[0m testval6'] gprint(res) gprint(expected) assert res == expected def test_mulivalue_color_graphs_max(self): test = [('testval0', 600), ('testval1', 400, Red), ('testval2', [(300, Gre),(500, Blu)]), ('testval3', [(200, Yel),(100,)]), ('testval4', 100, Cya), ('testval5', 50, Blu), ('testval6', [(100, Gre), (150, Red), (200, Yel), (600, Blu)]) ] graph = Pyasciigraph(separator_length=4, multivalue=False) res = graph.graph('test graph', test) expected = [u'test graph', u'###############################################################################', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 600 testval0', u'\x1b[0;31m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;31m400\x1b[0m testval1', u'\x1b[0;32m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;34m500\x1b[0m testval2', u'\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0;33m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;33m200\x1b[0m testval3', u'\x1b[0;36m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;36m100\x1b[0m testval4', u'\x1b[0;34m\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;34m50\x1b[0m testval5', u'\x1b[0;32m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;31m\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;33m\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;34m600\x1b[0m testval6'] gprint(res) gprint(expected) assert res == expected def test_force_max_value_param(self): test = [('long_labe☭', 423), ('sl', 1234), ('line3', 531), ('line4', 200), ('line5', 834)] graph = Pyasciigraph(force_max_value=2000) res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', '████████████ 423 long_labe☭', '█████████████████████████████████████ 1234 sl ', '████████████████ 531 line3 ', '██████ 200 line4 ', '█████████████████████████ 834 line5 ' ] gprint(res) gprint(expected) assert res == expected def test_neg_simple(self): test = [('testval0', 600), ('testval1', 500), ('testval2', -400), ('testval3', 400), ('testval4', 300), ('testval5', 200), ('testval6', 100), ('testval7', 50 )] graph = Pyasciigraph() res = graph.graph('☭test print', test) expected = [ '☭test print', '###############################################################################', ' █████████████████████████████████████ 600 testval0', ' ███████████████████████████████ 500 testval1', '█████████████████████████ -400 testval2', ' █████████████████████████ 400 testval3', ' ██████████████████ 300 testval4', ' ████████████ 200 testval5', ' ██████ 100 testval6', ' ███ 50 testval7', ] gprint(res) gprint(expected) assert res == expected def test_neg_multicolor(self): test = [('testval0', 600), ('testval1', 400, Red), ('testval2', [(600, Gre), (500, Blu)]), ('testval3', [(200, Yel), (100,)]), ('testval4', -170, Cya), ('testval5', 50, Blu), ('testval6', [(-300, Gre), (-230, Red)]), ('testval7', [(-100, Gre), (-230, Red), (200, Yel), (600, Blu)])] graph = Pyasciigraph() res = graph.graph('☭test print', test) expected = [u'\u262dtest print', u'###############################################################################', u' \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 600 testval0', u' \x1b[0;31m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;31m400\x1b[0m testval1', u' \x1b[0;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;32m\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;32m600\x1b[0m,\x1b[0;34m500\x1b[0m testval2', u' \u2588\u2588\u2588\u2588\u2588\x1b[0;33m\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;33m200\x1b[0m,100 testval3', u' \x1b[0;36m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;36m-170\x1b[0m testval4', u' \x1b[0;34m\u2588\u2588\x1b[0m \x1b[0;34m50\x1b[0m testval5', u' \x1b[0;32m\u2588\u2588\u2588\x1b[0m\x1b[0;31m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;32m-300\x1b[0m,\x1b[0;31m-230\x1b[0m testval6', u' \x1b[0;31m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;32m\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;33m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m\x1b[0;34m\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\x1b[0m \x1b[0;32m-100\x1b[0m,\x1b[0;31m-230\x1b[0m,\x1b[0;33m200\x1b[0m,\x1b[0;34m600\x1b[0m testval7'] gprint(res) gprint(expected) assert res == expected

75.561728

2,207

0.445429

2,483

24,482

4.783729

0.091019

0.756861

1.070887

1.345344

0.805607

0.791211

0.782118

0.778835

0.769574

0.763849

0

0.330453

0.333388

24,482

323

2,208

75.795666

0.332659

0.001716

0

0.558219

0

0.116438

0.648007

0.361404

0

0.058219

1

0.068493

false

0

0.027397

0

0.106164

0.188356

0

null

1

0

1

0

1

0

1

0

1

0

null

0

13